From 01a303b846fe9bfb704d496b3ffca7cbac62a543 Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Fri, 24 Jul 2026 15:52:01 -0400 Subject: [PATCH 01/28] Overture docs V2 update --- .dev/roadmap.md | 17 - .gitignore | 4 + AGENTS.md | 30 + CLAUDE.md | 7 + package-lock.json | 6 - submodules/arranger | 2 +- submodules/lectern | 2 +- submodules/lyric | 2 +- submodules/maestro | 2 +- submodules/song | 2 +- symlinker.sh | 53 +- website/casestudiesSidebars.ts | 33 - website/communitySidebars.ts | 46 +- website/deploySidebars.ts | 18 + website/developSidebars.ts | 39 + website/docs/00-getting-started.mdx | 37 - .../02-platform-tools/02-platform-tools.mdx | 5 - website/docs/02-platform-tools/tabs.css | 42 - website/docs/03-under-development/01-Lyric.md | 61 - .../03-under-development/02-lecternViewer.md | 164 - .../03-under-development.md | 22 - .../docs/03-under-development/images/clm.png | Bin 589201 -> 0 bytes .../03-under-development/images/erdviewer.png | Bin 767204 -> 0 bytes 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website/workshop/00-Intro.md | 167 -- website/workshopSidebars.ts | 19 - 135 files changed, 4179 insertions(+), 6924 deletions(-) delete mode 100644 .dev/roadmap.md create mode 100644 AGENTS.md create mode 100644 CLAUDE.md delete mode 100644 package-lock.json delete mode 100644 website/casestudiesSidebars.ts create mode 100644 website/deploySidebars.ts create mode 100644 website/developSidebars.ts delete mode 100644 website/docs/00-getting-started.mdx delete mode 100644 website/docs/02-platform-tools/02-platform-tools.mdx delete mode 100644 website/docs/02-platform-tools/tabs.css delete mode 100644 website/docs/03-under-development/01-Lyric.md delete mode 100644 website/docs/03-under-development/02-lecternViewer.md delete mode 100644 website/docs/03-under-development/03-under-development.md delete mode 100644 website/docs/03-under-development/images/clm.png delete mode 100644 website/docs/03-under-development/images/erdviewer.png delete mode 100644 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website/workshopSidebars.ts diff --git a/.dev/roadmap.md b/.dev/roadmap.md deleted file mode 100644 index 7c6476ec..00000000 --- a/.dev/roadmap.md +++ /dev/null @@ -1,17 +0,0 @@ -# overture/docs — Roadmap - -Planned work and known improvements for the Overture documentation site. - ---- - -## Submodule branch tracking - -### Track release branches, not default/main - -**What:** Configure each submodule in `.gitmodules` to track the project's release branch rather than its default branch (currently no `branch` is set, so `git submodule update --remote` follows the remote default, which is `main`). - -**Why:** `main` on each project repo carries in-progress and unreleased changes. The docs site should reflect what has been released, not what is being developed. Pinning to a release branch (e.g. `release` or `release-2.x`) means submodule updates stay in sync with published versions rather than pulling ahead of them. - -**How:** Add a `branch = ` line to each submodule entry in `.gitmodules`, then update the docs publish workflow to run `git submodule update --remote` against those branches. - -**Scope:** Requires confirming the release branch naming convention per project (Arranger uses `release`; verify for SONG, Score, Stage, Maestro, Lectern, Lyric). diff --git a/.gitignore b/.gitignore index c3178b05..143e55e1 100644 --- a/.gitignore +++ b/.gitignore @@ -18,3 +18,7 @@ npm-debug.log* yarn-debug.log* yarn-error.log* + +# Project Management Context +/CCDdoc +/.dev \ No newline at end of file diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..1b041985 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,30 @@ + +# Agent collaboration conventions — Overture Docs + +**For AI agents:** this file is instructions you read and follow, not documentation written for people. If you're a person, see [README.md](README.md) instead. + +Adapted from [softeng/agentics](https://github.com/oicr-softeng/agentics). This is the canonical, agent-neutral source for **Overture Docs-specific** conventions; `CLAUDE.md` is a stub that points here. + +Universal conventions (interaction style, critical constraints, testing, code style, security, documentation, session discipline), the developer role, the softeng team layer, and the Overture product-family layer (`CLAUDE.overture.md`, applied because project memory flags this as an Overture repo) are **not duplicated here**: they come from the developer's agentics-based global context and the local clone at `~/.claude/agentics/template/`. Any agent working in this repo reads those on demand; this file adds only what is specific to Overture Docs. + +## Session start +Before touching content, read `.dev/roadmap.md`, `.dev/tech-debt.md`, and the most recent file(s) in `.dev/sessions/`. Full session-start sequence: `~/.claude/agentics/template/conventions/session-discipline.md`. + +## When to read what (agentics conventions — read on demand) +The canonical task→convention dispatch table lives in `~/.claude/agentics/template/AGENTS.md` § "When to read what": tests, code style, code review, docs, security, convention levels, upgrading adoption. Read the matching file from `~/.claude/agentics/template/conventions/` when doing that task. Most work here is documentation, so `conventions/documentation.md` applies to the majority of changes. + +## Project context +Overture Docs is the **centralized documentation site for the Overture stack**, built with [Docusaurus](https://docusaurus.io/). It aggregates Markdown from the `/docs` directory of each Overture project repository (pulled in as git submodules) and renders them as one navigable site. The point of the setup is that documentation stays with its source project while readers get a single hub. Full overview in [README.md](README.md); planned work lives in `.dev/roadmap.md`. + +## Project-specific constraints +- **Public repository** (`overture-stack/docs`): no credentials, secrets, tokens, or private URLs in any committed file, ever. +- **Documentation content is owned by the submodules, not this repo.** Each project's docs live in `submodules//docs/` and are symlinked into `website/docs/`. Edit the **source** file under `submodules//`, never the symlinked copy under `website/docs/`: editing through the link mutates the vendored submodule's working tree in a way that is easy to lose and confusing to review. Symlinks are (re)generated by `symlinker.sh`. +- **Submodules are separate Overture repos with their own conventions.** Defer to any in-tree `AGENTS.md`/`CLAUDE.md` inside a submodule; do not apply this repo's root conventions on top of vendored component code. Changes to a submodule's actual content belong in that submodule's own repo and PR flow, not here. +- **Only site scaffolding and aggregation live in this repo**: the Docusaurus config, theme, components, and the symlink/build wiring under `website/`. That is what a change to *this* repo (as opposed to a submodule) should normally touch. + +## Repository orientation +- `submodules/` — vendored Overture repos as git submodules: `arranger`, `lectern`, `lyric`, `maestro`, `score`, `song`, `stage`, and `.github`. Each carries its own `/docs`. Defined in `.gitmodules` (see `.dev/roadmap.md`: release-branch tracking is not yet configured, so `git submodule update --remote` currently follows each repo's default branch). +- `website/` — the Docusaurus site: `docs/` (aggregated, symlinked from submodules), `community/`, `guides/`, and `src/` (`components/`, `css/`, `theme/`, `pages/`). +- `symlinker.sh` — regenerates the symlinks that bring selected submodule `/docs` files into `website/docs/`. +- `README.md`, `preview.png` — human-facing project overview and screenshot. +- Local setup: Node 18+, `npm ci`, then `npm start` (see `README.md` § Getting Started). diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 00000000..01dc0424 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,7 @@ +# Agent collaboration conventions + +**For AI agents:** this file is instructions your agent reads and follows; it is not documentation written for people. If you're a person looking for how this project works, see [README.md](README.md) instead. + +Adapted from [softeng/agentics](https://github.com/oicr-softeng/agentics). + +This file exists only because Claude Code loads it automatically; it is not the canonical source. Read [AGENTS.md](AGENTS.md) now for this project's conventions. Universal conventions, your role, and the softeng team layer come from your global context (`~/.claude/CLAUDE.md`) and the agentics clone at `~/.claude/agentics/template/`, so none of it is duplicated here to drift out of sync. diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 6ab68257..00000000 --- a/package-lock.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "name": "docs", - "lockfileVersion": 3, - "requires": true, - "packages": {} -} diff --git a/submodules/arranger b/submodules/arranger index 834ad943..bc15e4c8 160000 --- a/submodules/arranger +++ b/submodules/arranger @@ -1 +1 @@ -Subproject commit 834ad943ef0c9c467ae4e53dc4660bcc0099420e +Subproject commit bc15e4c8c262858bc0fc0504eba6817a67244939 diff --git a/submodules/lectern b/submodules/lectern index b41a4d6c..2931e38d 160000 --- a/submodules/lectern +++ b/submodules/lectern @@ -1 +1 @@ -Subproject commit b41a4d6c28ad669c9ebf8bf5d68187f38a126a64 +Subproject commit 2931e38df0ecebc7e5fe3df27b4e677ba282427a diff --git a/submodules/lyric b/submodules/lyric index b1d289fe..4cce803f 160000 --- a/submodules/lyric +++ b/submodules/lyric @@ -1 +1 @@ -Subproject commit b1d289fec5c0f68f023e35fe1141677614c6242f +Subproject commit 4cce803ffca3d90ba957daf7cf200a80f2aeb740 diff --git a/submodules/maestro b/submodules/maestro index e8beeb1b..bc10c2d1 160000 --- a/submodules/maestro +++ b/submodules/maestro @@ -1 +1 @@ -Subproject commit e8beeb1b6913a986b59390d50aa4cb0a87818eb4 +Subproject commit bc10c2d1c21a19e6966b225748ae22fcd37a46c7 diff --git a/submodules/song b/submodules/song index 5ebe11fa..788d333a 160000 --- a/submodules/song +++ b/submodules/song @@ -1 +1 @@ -Subproject commit 5ebe11fae66679d6634ecdd3f7cbbd1e85b4defe +Subproject commit 788d333abcefb7729819efcdd935a0c890f8c864 diff --git a/symlinker.sh b/symlinker.sh index 047acedd..346a5e08 100755 --- a/symlinker.sh +++ b/symlinker.sh @@ -1,16 +1,43 @@ -#!/bin/bash +#!/usr/bin/env bash +# +# Regenerates the documentation symlinks under website/docs/ that bring each +# submodule's docs into the Docusaurus site. Run from the repository root: +# +# ./symlinker.sh +# +# These links MUST match what is committed under website/docs/. If you change +# what the site surfaces, change it here and regenerate — so the script and the +# repo never disagree. (A drifted script silently rebuilds a *different* site.) +# +# Link targets are relative, never absolute: Netlify resolves them at build time +# and absolute paths do not deploy correctly. +# +set -euo pipefail +cd "$(dirname "$0")" -# Do not use absolute paths, they will not deploy on netlify correctly -# Run this from the directory you want the link to be made in -ln -s ../../../submodules/song/docs/ 01-song -ln -s ../../../submodules/score/docs/ 02-score -ln -s ../../../submodules/maestro/docs/ 03-maestro -ln -s ../../../submodules/arranger/docs/ 04-arranger -ln -s ../../../submodules/stage/docs/ 05-stage +# --- Core software: each links the component's whole docs/ directory --- +# link path (under website/docs/) submodule +core_links=( + "website/docs/develop-docs/01-Lectern lectern" + "website/docs/develop-docs/02-Lyric lyric" + "website/docs/develop-docs/03-Song song" + "website/docs/develop-docs/04-Score score" + "website/docs/develop-docs/05-Maestro maestro" + "website/docs/develop-docs/06-Arranger arranger" + "website/docs/develop-docs/07-Stage stage" +) +for entry in "${core_links[@]}"; do + read -r link comp <<<"$entry" + rm -rf "$link" + ln -s "../../../submodules/${comp}/docs/" "$link" +done -# Linked into from bridge/website/docs/04-Standards -ln -s ../../submodules/.github/standards 04-standards +# --- Org-level documentation standards (from the .github submodule) --- +# Re-homed under the Community journey (website/docs/community-docs/) in +# the Deploy·Build·Use IA migration; the relative target has one fewer +# ../ than the core_links above because this symlink sits directly under +# docs/community-docs/, not nested a level deeper like 01-core-software/. +rm -rf "website/docs/community-docs/07-documentation-standards" +ln -s "../../../submodules/.github/standards" "website/docs/community-docs/07-documentation-standards" -# Linked into from bridge/website/docs/03-under-development -ln -s ../../../submodules/lectern/docs/overview 01-lectern -ln -s ../../../submodules/lyric/docs/ 02-lyric +echo "Regenerated $(( ${#core_links[@]} + 1 )) doc symlinks under website/." diff --git a/website/casestudiesSidebars.ts b/website/casestudiesSidebars.ts deleted file mode 100644 index 63be8074..00000000 --- a/website/casestudiesSidebars.ts +++ /dev/null @@ -1,33 +0,0 @@ -import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; - -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ -const sidebars: SidebarsConfig = { - // By default, Docusaurus generates a sidebar from the docs folder structure -casestudiesSidebar: [{type: 'autogenerated', dirName: '.'}], - - // But you can create a sidebar manually - -// guidesSidebar: [ -// { -// type: 'category', -// label: 'moduleA', -// items: ['moduleA/nestedFolder/nestedElement'], -// }, -// { -// type: 'category', -// label: 'moduleB', -// items: ['moduleB/littleBlackSubmarines'], -// }, -// ], -}; - -export default sidebars; diff --git a/website/communitySidebars.ts b/website/communitySidebars.ts index 27604c91..e96958fd 100644 --- a/website/communitySidebars.ts +++ b/website/communitySidebars.ts @@ -1,33 +1,25 @@ import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ +// The documentation-standards content is vendored from the .github submodule +// (symlinked), so we can't drop a _category_.json inside it to set the +// sidebar label — it's wired up explicitly here instead (same pattern as +// developSidebars.ts for the per-component vendored docs). const sidebars: SidebarsConfig = { - // By default, Docusaurus generates a sidebar from the docs folder structure - communitySidebar: [{type: 'autogenerated', dirName: '.'}], - - // But you can create a sidebar manually - -// guidesSidebar: [ -// { -// type: 'category', -// label: 'moduleA', -// items: ['moduleA/nestedFolder/nestedElement'], -// }, -// { -// type: 'category', -// label: 'moduleB', -// items: ['moduleB/littleBlackSubmarines'], -// }, -// ], + communitySidebar: [ + 'support', + 'team', + 'funding', + 'licensing', + 'code-of-conduct', + 'contribution', + 'citing-us', + { + type: 'category', + label: 'Documentation Standards', + link: {type: 'doc', id: 'documentation-standards/documentation-standards'}, + items: [{type: 'autogenerated', dirName: '07-documentation-standards'}], + }, + ], }; export default sidebars; diff --git a/website/deploySidebars.ts b/website/deploySidebars.ts new file mode 100644 index 00000000..de88ab85 --- /dev/null +++ b/website/deploySidebars.ts @@ -0,0 +1,18 @@ +import type { SidebarsConfig } from "@docusaurus/plugin-content-docs"; + +const sidebars: SidebarsConfig = { + // Prelude and Quickstart are marked `unlisted` (hidden for now, still + // reachable by direct link) so they're left out here rather than + // autogenerated. The 3 deployment guide pages are hoisted to the sidebar + // root instead of nested under a "Deployment Guide" category/dropdown; + // their own overview page (deployment/index) is unlisted too, so it's + // left out here as well. + deploySidebar: [ + "index", + "deployment/authorization", + "deployment/data-management-storage", + "deployment/search-portal", + ], +}; + +export default sidebars; diff --git a/website/developSidebars.ts b/website/developSidebars.ts new file mode 100644 index 00000000..194cb829 --- /dev/null +++ b/website/developSidebars.ts @@ -0,0 +1,39 @@ +import type { SidebarsConfig } from "@docusaurus/plugin-content-docs"; + +// Each component's docs are vendored from its own submodule (symlinked), so we +// can't drop a _category_.json inside them to set the sidebar label. Instead +// each is wired up explicitly here, paired as "Overture name (functional +// name)" per the site map convention. +const components: Array<{ dirName: string; id: string; label: string }> = [ + { + dirName: "01-Lectern", + id: "Lectern", + label: "Lectern (Dictionary Management)", + }, + { dirName: "02-Lyric", id: "Lyric", label: "Lyric (Data Management)" }, + { dirName: "03-Song", id: "Song", label: "Song (File Management)" }, + { dirName: "04-Score", id: "Score", label: "Score (File Transfer)" }, + { dirName: "05-Maestro", id: "Maestro", label: "Maestro (Indexing)" }, + { dirName: "06-Arranger", id: "Arranger", label: "Arranger (Search)" }, + { dirName: "07-Stage", id: "Stage", label: "Stage (Portal UI)" }, +]; + +const sidebars: SidebarsConfig = { + developSidebar: [ + "index", + ...components.map(({ dirName, id, label }) => ({ + type: "category" as const, + // Scoped by className so the "Overture name (functional name)" pairing + // (long enough to wrap on some of these) can get its own sidebar + // styling in custom.css without affecting other sidebars. + className: "sidebar-component-item", + label, + link: { type: "doc" as const, id: `${id}/overview` }, + items: [{ type: "autogenerated" as const, dirName }], + })), + "api-reference", + "contributing", + ], +}; + +export default sidebars; diff --git a/website/docs/00-getting-started.mdx b/website/docs/00-getting-started.mdx deleted file mode 100644 index 5b754d1d..00000000 --- a/website/docs/00-getting-started.mdx +++ /dev/null @@ -1,37 +0,0 @@ -# Getting Started - -Our documentation is the definitive resource for the Overture project. Here you'll find comprehensive guides for implementing our software in development environments, up-to-date documentation on products under active development, technical standards, and additional resources. - - - -## Support & Contributions - -- For support, feature requests, and bug reports, please see our [Support Guide](https://docs.overture.bio/community/support). - -- For detailed information on how to contribute to this project, please see our [Contributing Guide](https://docs.overture.bio/docs/contribution). diff --git a/website/docs/02-platform-tools/02-platform-tools.mdx b/website/docs/02-platform-tools/02-platform-tools.mdx deleted file mode 100644 index 36bd00cc..00000000 --- a/website/docs/02-platform-tools/02-platform-tools.mdx +++ /dev/null @@ -1,5 +0,0 @@ -# Platform Tools - -This section provides information on software that is part of the broader Overture project including our quickstart and platform development toolkit (Prelude). - - diff --git a/website/docs/02-platform-tools/tabs.css b/website/docs/02-platform-tools/tabs.css deleted file mode 100644 index 6ecd12eb..00000000 --- a/website/docs/02-platform-tools/tabs.css +++ /dev/null @@ -1,42 +0,0 @@ -/* In your global CSS file or a new CSS file */ -.custom-tabs { - background-color: #f0f0f0; - border-radius: 8px; - padding: 16px; - } - - .custom-tabs .tabs__item { - transition: background-color 0.3s ease, color 0.3s ease; - border-radius: 4px; - margin-right: 4px; - } - - .custom-tabs .tabs__item:hover { - background-color: #e0e0e0; - } - - .custom-tabs .tabs__item--active { - background-color: #007bff; - color: white; - } - - .custom-tabs .tab-content { - border: 1px solid #ddd; - padding: 10px; - transition: opacity 0.3s ease; - position: relative; - } - - .custom-tabs .tab-content img { - transition: opacity 1s ease, transform 1s ease; - position: absolute; - top: 10px; - left: 10px; - opacity: 0; - transform: scale(0.95); - } - - .custom-tabs .tab-content.tab-content--active img { - opacity: 1; - transform: scale(1); - } \ No newline at end of file diff --git a/website/docs/03-under-development/01-Lyric.md b/website/docs/03-under-development/01-Lyric.md deleted file mode 100644 index 7e3ddc66..00000000 --- a/website/docs/03-under-development/01-Lyric.md +++ /dev/null @@ -1,61 +0,0 @@ -# Lyric - -Lyric is a tabular data management service designed to handle structured clinical and research data. Built on top of [Lectern's](https://docs.overture.bio/docs/under-development/lectern/) dictionary framework, it provides a system for organizations to submit, validate, and manage structured data according to predefined schemas. While primarily used for clinical data management, Lyric's architecture remains domain-agnostic, allowing it to handle any type of structured data that can be defined within a Lectern dictionary. - -## Key Features - -- **Schema-driven validation:** Uses Lectern dictionaries to enforce data structure and relationships, validating submissions of tabular data files against predefined schemas. -- **Flexible submission workflow:** Provides a staged submission process where users can iteratively update and validate their data before committing to the database. -- **Comprehensive data management:** Offers complete CRUD operations (Create, Read, Update, Delete) through a RESTful API documented in Swagger. -- **Detailed change history:** Maintains a complete audit trail of all data modifications, tracking changes from committed submissions and updates ensuring data governance and accountability. -- **SQON Query Endpoint:** Provides an endpoint for SQON (Structured Query Object Notation) based queries allowing complex search operations through combinations of simple field operations (`in`, `<=`, `>=`) and logic (`and`, `or`, `not`). This allows complex queries to be expressed in a simple JSON format. -- **Multi-dictionary support:** Handles multiple Lectern dictionaries simultaneously, allowing organizations to manage different data categories with distinct schemas while maintaining data integrity and relationships - -## System Architecture - -Lyric manages the submission of tabular data through its API, validating submissions based on Lectern dictionary schemas stored within Lyric and specified on submission. Song will interact with Lyric to confirm the presence of the data in Lyric's database that corresponds to the file metadata being submitted to Song. All Lyric data is stored on the backend within a PostgreSQL database that will be indexed on publication by [Maestro](https://docs.overture.bio/docs/core-software/Maestro/overview) into Elasticsearch documents. - -![Submission System Architecture](./images/submission-system.svg "Updated Overture Submission System") - -:::info Why Elasticsearch? -Storing data in Elasticsearch allows us to build powerful search UI components linked to a flexible GraphQL API facilitated by the Arranger Server. This approach delivers enhanced query performance, advanced full-text search capabilities, and flexible filtering options compared to querying the database directly. -::: - -As part of the Overture, Lyric is typically used with additional integrations, including: - -- **[Lectern](https://docs.overture.bio/docs/under-development/lectern/):** Validates, stores and manages dictionary schemas fetched, stored, and used by Lyric -- **[Maestro](https://docs.overture.bio/docs/core-software/Maestro/overview):** Handles the indexing of data into elasticsearch on publication events -- **[Song](https://docs.overture.bio/docs/core-software/Song/overview) & [Score](https://docs.overture.bio/docs/core-software/Score/overview):** Facilitates the submission, validation and management of file data in object storage (Score) and the corresponding file metadata (Song) in a database - -## Development Roadmap - -1. **Authentication System** - - Implement authentication rules - - Integrate with Keycloak for identity and access management -2. **Song Integration** - - Enable Song to validate data registration with Lyric - - Implement pre-submission file validation checks -3. **Publication Control** - - Integrate indexing functionality with Maestro V5 - - Enable Lyric & Song data searchability through Arranger interface - -## Repository Structure - -The structure of this monorepo is app centric having `apps/` folder to keep deployable applications while `packages/` folder to keep shared libraries. - -``` -. -├── apps/ -│ └── server -├── packages - ├── data-model - └── data-provider -``` - -[Click here to view the Lyric repository on GitHub](https://github.com/overture-stack/lyric) - -- `app/`: Explanation of directory - - `server/`: Explanation of directory -- `packages`: Explanation of directory - - `data-model`: Explanation of directory - - `data-provider`: Explanation of directory diff --git a/website/docs/03-under-development/02-lecternViewer.md b/website/docs/03-under-development/02-lecternViewer.md deleted file mode 100644 index d99e6e2a..00000000 --- a/website/docs/03-under-development/02-lecternViewer.md +++ /dev/null @@ -1,164 +0,0 @@ -# Lectern Viewer - -The Lectern data dictionary viewer is a React-based component library that will provide user interfaces for viewing and interacting with Lectern data dictionaries. It aims to transform technical JSON schema specifications into accessible, organized displays that make data models and data requirements clear and understandable for researchers and data submitters. - -The Lectern UI is being developed as a standalone component library that can be integrated into any data platform to provide dictionary viewing capabilities. It will consume [Lectern dictionary schemas](../01-core-software/00-Lectern/03-dictionaryReference.md) and render them through two primary interface modes: tabular views for detailed field-by-field exploration and a diagram view for visualizing schema relationships. - -The viewer serves as the presentation layer in the data submission workflow, providing researchers with clear visualization of data requirements before they begin the submission process through integrated platforms. - -The viewer is being developed initially to serve the [Pan-Canadian Genome Library (PCGL)](https://genomelibrary.ca/), a national initiative that will integrate the viewer for communicating data requirements to researchers across Canada's genomics community. The PCGL implementation will serve as a reference for how other research platforms can integrate the viewer components. - -## Field Viewer - -![SchemaViewer](./images/lecternviewer.png) - -The tabular view provides comprehensive field-by-field documentation with expandable sections for detailed validation rules, examples, and metadata. Interactive elements allow users to filter, search, and navigate through complex schema definitions efficiently. - -**Key Features:** - -- **Interactive Schema Tables:** Detailed tabular views showing field definitions, data types, validation rules, and examples with expandable sections for complex restrictions -- **Version Management:** Built-in support for switching between different dictionary versions with change tracking and comparison capabilities -- **Template Downloads:** Generate CSV templates based on schema definitions to streamline data submission workflows -- **Responsive Design:** Modern, accessible interface that works across desktop and mobile devices with support for custom theming - -### Conditional Logic Modal - -![ConditionalLogicModal](./images/clm.png) - -Complex conditional validation rules are presented through modal overlays that break down if-then-else logic into digestible, structured displays that clearly communicate field dependencies and requirements. - -**Key Features:** - -- **Conditional Logic Visualization:** Clear presentation of complex conditional validation rules through modal overlays and structured displays - -## Entity Relationship Viewer - -![ERD Viewer](./images/erdviewer.png) - -The diagram view visualizes schema relationships using interactive flowcharts that demonstrate how different schemas connect through primary and foreign key relationships, helping users understand the overall data model structure. - -**Key Features:** - -- **Entity Relationship Diagrams:** Visual representations of schema relationships using interactive flowcharts that show primary and foreign key connections -- **Component-Driven Architecture:** Built with Storybook for isolated development, testing, and documentation of reusable components - -## Integration Points - -As part of the larger Overture ecosystem, the Lectern UI will be used with additional integrations, including: - -- **Lectern Server:** The REST API service that manages and serves dictionary schemas, providing version control and validation -- **Lyric:** Overture's tabular data submission service that uses Lectern schemas for data validation and quality assurance - -## Development Approach - -The Lectern UI is built using **component-driven development** with [Storybook](https://storybook.js.org/) as the primary development environment. This approach enables: - -- **Isolated Component Development:** Each UI component is developed and tested in isolation, ensuring reliability and reusability -- **Interactive Documentation:** Living documentation that serves both developers and stakeholders with real examples and use cases -- **Design System Integration:** Consistent theming and styling across all components with easy theme switching and testing -- **Collaborative Development:** Non-technical stakeholders can review and provide feedback on components before integration - -## Developer Quick Start - -The codebase leverages [Storybook](https://storybook.js.org/) as the primary development environment for building, testing, and documenting components. This component-driven development approach ensures each piece of the UI is developed in isolation and thoroughly tested before integration. - -To run Storybook: - -1. Install all dependencies: - -```sh -pnpm install -``` - -2. Run Storybook: - -```sh -pnpm storybook -``` - -Storybook will run on port 6006 by default: [http://localhost:6006/](http://localhost:6006/) - -:::tip Why Storybook? -Storybook enables rapid development and testing of UI components in isolation, provides living documentation for the design system, and facilitates collaboration between developers, designers, and stakeholders by offering a visual interface for component exploration. -::: - -## Editing Stories - -All stories are located within the `/stories` directory. - -### Theme Decorator - -All Lectern Components rely on the `LecternThemeProvider`. If this provider is not present, they will render using the default `LecternTheme`. - -In order to help testing Lectern-UI Components with alternate themes, a `themeDecorator` is provided to be used in stories. The `themeDecorator` can be added to any component story as follows: - -```ts -import themeDecorator from "../themeDecorator"; // import from stories/themeDecorator.tsx - -const meta = { - component: MyComponent, - title: "Category Name/My Component", - tags: ["autodocs"], - // INCLUDE THE DECORATOR HERE: - decorators: [themeDecorator()], -} satisfies Meta; -``` - -To help with testing, a global property named `theme` has been set, and a selector has been added to the Storybook Toolbar: - -![Storybook Global Theme Selector Toolbar](./images/global-theme-selector.png) - -The theme selected from the toolbar theme selection tool will be applied to all stories with the `themeDecorator`. - -At the moment there is only one alternate theme provided. It is defined inside the `themeDecorator` file - to test alternate stylings please update this custom theme. - -#### Adding Additional Themes - -To add additional themes in the drop down for the `themeDecorator` to use, you must add an option for the storybook `globalType.theme` property. This is done in the `/storybook/preview.ts`) file: - -```ts -const preview: Preview = { - globalTypes: { - theme: { - description: - "Display theme used for all components with the themeDecorator.", - toolbar: { - icon: "paintbrush", - items: [ - { value: "default", right: "✅", title: "Default Theme" }, - { value: "custom", right: "🎨", title: "Custom Theme" }, - { - value: "newTheme", - right: "{choose an emoji}", - title: "Your New Theme", - }, - ], - }, - }, - }, - // ... -}; -``` - -Now that we have an additional option, the `themeDecorator` must be provided the specified theme. The logic for providing the selected theme to the decorator is handled in the `themeDecorator` file in the function `function getGlobalTheme(globalTheme: string)`. Add a new case for the `globalType.theme` value that you added to `./storybook/preview.ts`. - -```ts -function getGlobalTheme(globalTheme: string): PartialTheme { - switch (globalTheme) { - case "custom": { - return customTheme; - } - case "newTheme": { - // Return your new theme - return {}; - } - default: { - return {}; - } - } -} -``` - -:::note Development Status -The Lectern UI is currently in active development. Features and interfaces are subject to change as we iterate based on community feedback and user testing with research platforms like the Pan-Canadian Genome Library (PCGL). -::: diff --git a/website/docs/03-under-development/03-under-development.md b/website/docs/03-under-development/03-under-development.md deleted file mode 100644 index 9e1e471d..00000000 --- a/website/docs/03-under-development/03-under-development.md +++ /dev/null @@ -1,22 +0,0 @@ -# Under Development - -As part of our work on the [Pan-Canadian Genome Library](https://oicr.on.ca/first-ever-national-library-of-genomic-data-will-help-personalize-cancer-treatment-in-canada-and-around-the-world/) we are currently developing a **new data submission system** to better -support tabular (clinical) data. - -This new system will see two new components integrated into the Overture Platform: - -- [**Lectern**](https://docs.overtue.bio/docs/core-software/lectern/overview): A version-controlled Data Dictionary Schema Manager that defines, validates, and manages schemas used for data submissions, supporting data integrity across evolving data management systems. -- [**Lyric**](https://docs.overture.bio/docs/development/lyric/): Validate, store, query, and re-validate tabular data against evolving Lectern Dictionary schemas. - -Additionally, we are updating our indexing service: - - - [**Maestro v5**](https://github.com/overture-stack/maestro/tree/M5) will see multiple updates including the ability to index data from Song and Lyric into one elasticsearch index. - -Combined together the new Overture Platfrom architecture will look as follows: - -![Submission System Architecture](./images/submission-system.svg "Updated Overture Submission System") - -We have also began development on a series of user interfaces to help communicate data in human readable formats: - -- [Lectern UI](./02-lecternViewer.md) -- Arranger Charts diff --git a/website/docs/03-under-development/images/clm.png 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a/website/docs/03-under-development/images/submission-system.svg b/website/docs/03-under-development/images/submission-system.svg deleted file mode 100644 index a41f4e66..00000000 --- a/website/docs/03-under-development/images/submission-system.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - \ No newline at end of file diff --git a/website/docs/04-documentation-standards b/website/docs/04-documentation-standards deleted file mode 120000 index 4d52cea9..00000000 --- a/website/docs/04-documentation-standards +++ /dev/null @@ -1 +0,0 @@ -../../submodules/.github/standards \ No newline at end of file diff --git a/website/community/00-support.md b/website/docs/community-docs/00-support.md similarity index 80% rename from website/community/00-support.md rename to website/docs/community-docs/00-support.md index 176a66c0..58bf3cec 100644 --- a/website/community/00-support.md +++ b/website/docs/community-docs/00-support.md @@ -13,8 +13,8 @@ If you have a collaboration or business enquiry you can reach us by email at **c ### Getting Help - [**Create a Support Discussion**](https://github.com/overture-stack/docs/discussions/categories/support) - - If you need assistance with Overture, please create a new discussion in our support category. - - Before creating a new discussion, please search existing discussions to see if your question has already been answered. + - If you need assistance with Overture, please create a new discussion in our support category. + - Before creating a new discussion, please search existing discussions to see if your question has already been answered. ### Feature Requests @@ -38,13 +38,6 @@ If you come across a potential bug or issue, please post it as a GitHub support This allows us to confirm the issue and gather more information if needed. If we determine that further development is required, we will create a GitHub Issue from your discussion post. -## Staying Informed - -### Release Announcements - -- [**Release Announcements**](https://github.com/overture-stack/docs/discussions/categories/announcements) - - To stay up-to-date with the latest Overture releases and updates, keep an eye on our Announcements category in our GitHub Discussions. - ## Community Guidelines When participating in our community, please adhere to the following guidelines: @@ -54,4 +47,3 @@ When participating in our community, please adhere to the following guidelines: 3. Use clear and descriptive titles for your discussions and issues. 4. Search existing discussions before creating a new one to avoid duplicates. 5. Follow the GitHub Community Guidelines and abide by our [code of conduct](https://docs.overture.bio/community/code-of-conduct). - diff --git a/website/community/01-team.md b/website/docs/community-docs/01-team.md similarity index 84% rename from website/community/01-team.md rename to website/docs/community-docs/01-team.md index 2a8a63b0..3d3bab51 100644 --- a/website/community/01-team.md +++ b/website/docs/community-docs/01-team.md @@ -8,14 +8,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C @@ -158,14 +104,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Edmund Su

+

Jon Eubank

+ Associate Technical Director
@@ -173,14 +120,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Guanqiao Feng

+

Robin Haw

+ Program Manager
@@ -196,6 +144,7 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C

Henro

+ DevOps
@@ -203,14 +152,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Hardeep Nahal-Bose

+

Alexis Li

+ Business Analyst
@@ -218,14 +168,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Jon Eubank

+

James Lopez

+ Software Developer
@@ -233,14 +184,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Anders Richardsson

+

Mauricio Martinez

+ Software Developer
@@ -248,14 +200,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Leonardo Rivera

+

Andres Melani

+ PhD Student
@@ -263,14 +216,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Lincoln Stein

+

Rakesh Mistry

+ Software Developer
@@ -278,14 +232,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Linda Xiang

+

Hardeep Nahal-Bose

+ Bioinformatician
@@ -293,14 +248,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Mauricio Martinez

+

Sam Rich

+ Software Developer
@@ -308,14 +264,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Melanie Courtot

+

Anders Richardsson

+ Associate Technical Director
@@ -323,14 +280,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Rakesh Mistry

+

Leonardo Rivera

+ Software Developer
@@ -338,14 +296,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Robin Haw

+

Patrick Dos Santos

+ UI/UX Designer
@@ -361,6 +320,7 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C

Mitchell Shiell

+ Product Manager
@@ -368,14 +328,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Patrick Santos

+

Lincoln Stein

+ Scientific Director (Acting), and Head of Adaptive Oncology
@@ -383,14 +344,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Sam Rich

+

Edmund Su

+ Bioinformatician
@@ -398,21 +360,21 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Yelizar Alturmessov

+

Linda Xiang

+ Bioinformatician
- ## Honorary Alumni - **Alex Wilmer**: Original creator of Arranger @@ -420,10 +382,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C - **Aleksandra Pejovic**: Technical Business Analyst - **Atul Kachru**: Senior Project Manager - **Bashar Allabadi**: Senior Software Engineer +- **Bhavik Bhagat**: Business Analyst - **Chang Wang**: Frontend Architect +- **Christina Yung**: Director & Senior Principal Investigator +- **Ciarán Schütte**: Software Developer - **Dusan Andric**: Software Architect - **Daniel Lu**: Developer for the Overture website refresh +- **Ethan Luc**: Developer - **Francois Gerthoffert**: Senior Project Manager +- **Guanqiao Feng**: Bioinformatician - **Jared Baker**: Lead Cloud Architect - **Jaser Uddin**: Software Developer - **Junjun Zhang**: Designer of the original Song functionalities and schemas @@ -432,4 +399,5 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C - **Puneet Bajwa**: Project Manager - **Robert Tisma**: Senior Software Developer - **Rosi Bajari**: Business Analyst & Product Manager -- **Vincent Ferretti**: Director & Senior Principal Investigator \ No newline at end of file +- **Saqib Ashraf**: Developer +- **Vincent Ferretti**: Director & Senior Principal Investigator diff --git a/website/community/02-funding.md b/website/docs/community-docs/02-funding.md similarity index 84% rename from website/community/02-funding.md rename to website/docs/community-docs/02-funding.md index 2eda4be8..5c9b54ab 100644 --- a/website/community/02-funding.md +++ b/website/docs/community-docs/02-funding.md @@ -2,6 +2,12 @@ We gratefully acknowledge the financial support that has made this project possible. Our work has been funded by the following organizations and grants: +### Digital Research Alliance of Canada + +Under this grant we are transforming Overture from a data catalogue into an AI-assisted discovery and analysis platform. Using the Model Context Protocol (MCP), researchers will be able to explore, analyze, and visualize data through transparent, reproducible conversational workflows across Canadian research platforms including ICGC-ARGO, OHCRN, and iMicroSeq. + +- **Funding Period:** 2026–2028 + ### Canadian Institutes of Health Research As working group 2, we are developing a federated framework for genomic data access and analysis, specifically building an enhanced Overture data submission system to facilitate the ingestion, validation, and tracking of clinical and molecular data into the PCGL platform. @@ -37,4 +43,4 @@ We also thank the following organizations for their contributions: For more information about our funding or to discuss potential collaborations, please email us at contact@overture.bio. -**Last updated:** 11-19-24 +**Last updated:** 07-22-26 diff --git a/website/community/03-licensing.md b/website/docs/community-docs/03-licensing.md similarity index 100% rename from website/community/03-licensing.md rename to website/docs/community-docs/03-licensing.md diff --git a/website/community/04-code-of-conduct.md b/website/docs/community-docs/04-code-of-conduct.md similarity index 100% rename from website/community/04-code-of-conduct.md rename to website/docs/community-docs/04-code-of-conduct.md diff --git a/website/community/05-contribution.md b/website/docs/community-docs/05-contribution.md similarity index 100% rename from website/community/05-contribution.md rename to website/docs/community-docs/05-contribution.md diff --git a/website/community/06-citing-us.md b/website/docs/community-docs/06-citing-us.md similarity index 100% rename from website/community/06-citing-us.md rename to website/docs/community-docs/06-citing-us.md diff --git a/website/docs/community-docs/07-documentation-standards b/website/docs/community-docs/07-documentation-standards new file mode 120000 index 00000000..eb34db70 --- /dev/null +++ b/website/docs/community-docs/07-documentation-standards @@ -0,0 +1 @@ +../../../submodules/.github/standards \ No newline at end of file diff --git a/website/docs/02-platform-tools/01-prelude.md b/website/docs/deploy-docs/01-prelude.md similarity index 96% rename from website/docs/02-platform-tools/01-prelude.md rename to website/docs/deploy-docs/01-prelude.md index b93bf4c2..b864750a 100644 --- a/website/docs/02-platform-tools/01-prelude.md +++ b/website/docs/deploy-docs/01-prelude.md @@ -1,3 +1,7 @@ +--- +unlisted: true +--- + # Prelude **Prelude** is a toolkit designed for the **planning and development stages** of Overture data platform implementation. It helps teams incrementally build and validate platform requirements, enabling them to: @@ -6,6 +10,8 @@ - Minimize technical overhead - Build a foundation for production deployment +Prelude is developed in the open — see the [**overture-stack/prelude**](https://github.com/overture-stack/prelude) repository for the source, the latest demos, and full setup details. + :::important Prelude is **not intended for production environments**. It serves as a preparatory tool to ensure successful production deployments. We will be actively improving resources to support teams transitioning from Prelude to production. ::: diff --git a/website/docs/02-platform-tools/02-quickstart.mdx b/website/docs/deploy-docs/02-quickstart.mdx similarity index 97% rename from website/docs/02-platform-tools/02-quickstart.mdx rename to website/docs/deploy-docs/02-quickstart.mdx index 675c60d0..acac1026 100644 --- a/website/docs/02-platform-tools/02-quickstart.mdx +++ b/website/docs/deploy-docs/02-quickstart.mdx @@ -1,3 +1,7 @@ +--- +unlisted: true +--- + # Quickstart Our quickstart platform is a Docker Compose setup that simplifies the process of spinning up Overture development and deployment configurations using Docker profiles and extensible scripting events. @@ -8,7 +12,7 @@ The following diagrams illustrate the system architecture for each deployment: - ![Platform](./images/platform.svg 'Overture Platform') + ![Platform](./images/platform-devenv.svg 'Overture Platform') ![Song Dev](./images/songDev.svg 'Song Dev Environment') diff --git a/website/guides/01-deployment-guide/01-authorization.md b/website/docs/deploy-docs/03-deployment/01-authorization.md similarity index 95% rename from website/guides/01-deployment-guide/01-authorization.md rename to website/docs/deploy-docs/03-deployment/01-authorization.md index 9d29fcf8..23179908 100644 --- a/website/guides/01-deployment-guide/01-authorization.md +++ b/website/docs/deploy-docs/03-deployment/01-authorization.md @@ -72,5 +72,5 @@ Keycloak will be set up first to broker authorization tokens, enabling secure co :::info Server Deployments - If you are looking for information on deploying Keycloak on a server, we recommend seeing [Keycloak's official server documentationhttps://www.keycloak.org/guides##server). Should you require assistance with deployments tailored to your specific needs, please feel free to reach out to us for consultation at contact@overture.bio. + If you are looking for information on deploying Keycloak on a server, we recommend seeing [Keycloak's official server documentation](https://www.keycloak.org/guides#server). Should you require assistance with deployments tailored to your specific needs, please feel free to reach out to us for consultation at contact@overture.bio. ::: diff --git a/website/guides/01-deployment-guide/02-data-management-&-storage.md b/website/docs/deploy-docs/03-deployment/02-data-management-storage.md similarity index 100% rename from website/guides/01-deployment-guide/02-data-management-&-storage.md rename to website/docs/deploy-docs/03-deployment/02-data-management-storage.md diff --git a/website/guides/01-deployment-guide/03-search-portal.md b/website/docs/deploy-docs/03-deployment/03-search-portal.md similarity index 98% rename from website/guides/01-deployment-guide/03-search-portal.md rename to website/docs/deploy-docs/03-deployment/03-search-portal.md index da13080b..d7c06704 100644 --- a/website/guides/01-deployment-guide/03-search-portal.md +++ b/website/docs/deploy-docs/03-deployment/03-search-portal.md @@ -53,7 +53,7 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil Download and place the following **[quickstart_index_template.json](https://raw.githubusercontent.com/overture-stack/composer/develop/configurationFiles/elasticsearchConfigs/quickstart_index_template.json)** within your `elasticsearchConfigs` folder. This file specifies settings, mappings, and configurations that will be applied automatically to new indices that match the template's pattern :::info Learn More - If you'd like to learn more about creating an index mapping for your own data see our [administration guide on configuring the index mapping](/guides/administration-guides/index-mappings). + If you'd like to learn more about creating an index mapping for your own data see our [administration guide on configuring the index mapping](/use/administration/index-mappings). ::: 3. **Initialize your index:** Run the following scripts to set up your Elasticsearch cluster @@ -255,7 +255,7 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil :::info Configuring Arranger - If you want to learn more about configuring Arranger see our administration guide on [customizing the search portal](../02-administration-guides/03-customizing-the-data-portal.md). + If you want to learn more about configuring Arranger see our administration guide on [customizing the search portal](/use/administration/customizing-the-data-portal). ::: ## Setting up Stage @@ -369,5 +369,5 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI ``` :::tip Next Steps - Now that you have the end-to-end portal setup we recommend you check out our [administration guide on updating the data model](/guides/administration-guides/updating-the-data-model). + Now that you have the end-to-end portal setup we recommend you check out our [administration guide on building Song schemas](/use/administration/building-song-schemas). ::: diff --git a/website/guides/01-deployment-guide/01-deployment-guide.md b/website/docs/deploy-docs/03-deployment/index.md similarity index 99% rename from website/guides/01-deployment-guide/01-deployment-guide.md rename to website/docs/deploy-docs/03-deployment/index.md index 06f60ccd..178eb261 100644 --- a/website/guides/01-deployment-guide/01-deployment-guide.md +++ b/website/docs/deploy-docs/03-deployment/index.md @@ -1,3 +1,7 @@ +--- +unlisted: true +--- + # Deployment Guide ## Introduction diff --git a/website/docs/02-platform-tools/images/DevelopmentPhases.png b/website/docs/deploy-docs/images/DevelopmentPhases.png similarity index 100% rename from website/docs/02-platform-tools/images/DevelopmentPhases.png rename to website/docs/deploy-docs/images/DevelopmentPhases.png diff --git a/website/guides/images/apikeys.png b/website/docs/deploy-docs/images/apikeys.png similarity index 100% rename from website/guides/images/apikeys.png rename to website/docs/deploy-docs/images/apikeys.png diff --git a/website/docs/02-platform-tools/images/arrangerDev.svg b/website/docs/deploy-docs/images/arrangerDev.svg similarity index 100% rename from website/docs/02-platform-tools/images/arrangerDev.svg rename to website/docs/deploy-docs/images/arrangerDev.svg diff --git a/website/docs/02-platform-tools/images/maestroDev.svg b/website/docs/deploy-docs/images/maestroDev.svg similarity index 100% rename from website/docs/02-platform-tools/images/maestroDev.svg rename to website/docs/deploy-docs/images/maestroDev.svg diff --git a/website/docs/02-platform-tools/images/platform.svg b/website/docs/deploy-docs/images/platform-devenv.svg similarity index 100% rename from website/docs/02-platform-tools/images/platform.svg rename to website/docs/deploy-docs/images/platform-devenv.svg diff --git a/website/guides/images/platform.svg b/website/docs/deploy-docs/images/platform.svg similarity index 100% rename from website/guides/images/platform.svg rename to website/docs/deploy-docs/images/platform.svg diff --git a/website/docs/02-platform-tools/images/scoreDev.svg b/website/docs/deploy-docs/images/scoreDev.svg similarity index 100% rename from website/docs/02-platform-tools/images/scoreDev.svg rename to website/docs/deploy-docs/images/scoreDev.svg diff --git a/website/docs/02-platform-tools/images/songDev.svg b/website/docs/deploy-docs/images/songDev.svg similarity index 100% rename from website/docs/02-platform-tools/images/songDev.svg rename to website/docs/deploy-docs/images/songDev.svg diff --git a/website/docs/02-platform-tools/images/stageDev.svg b/website/docs/deploy-docs/images/stageDev.svg similarity index 100% rename from website/docs/02-platform-tools/images/stageDev.svg rename to website/docs/deploy-docs/images/stageDev.svg diff --git a/website/docs/deploy-docs/index.md b/website/docs/deploy-docs/index.md new file mode 100644 index 00000000..f9e69424 --- /dev/null +++ b/website/docs/deploy-docs/index.md @@ -0,0 +1,15 @@ +--- +title: Deploy +slug: / +sidebar_label: Deploy Overture +sidebar_position: 0 +--- + +# Deploy Overture + +**For platform teams standing up and operating an Overture instance.** + +This journey covers deploying the Overture stack and trying it locally with +**Prelude** before committing to a full deployment — start locally, then scale +out. Once your instance is running, see the [Use](/use) journey's +**Administrators** section for configuring the data model, index, and portal UI. diff --git a/website/docs/01-core-software/00-Lectern b/website/docs/develop-docs/01-Lectern similarity index 100% rename from website/docs/01-core-software/00-Lectern rename to website/docs/develop-docs/01-Lectern diff --git a/website/docs/develop-docs/02-Lyric b/website/docs/develop-docs/02-Lyric new file mode 120000 index 00000000..023ba46c --- /dev/null +++ b/website/docs/develop-docs/02-Lyric @@ -0,0 +1 @@ +../../../submodules/lyric/docs/ \ No newline at end of file diff --git a/website/docs/01-core-software/01-Song b/website/docs/develop-docs/03-Song similarity index 100% rename from website/docs/01-core-software/01-Song rename to website/docs/develop-docs/03-Song diff --git a/website/docs/01-core-software/02-Score b/website/docs/develop-docs/04-Score similarity index 100% rename from website/docs/01-core-software/02-Score rename to website/docs/develop-docs/04-Score diff --git a/website/docs/01-core-software/03-Maestro b/website/docs/develop-docs/05-Maestro similarity index 100% rename from website/docs/01-core-software/03-Maestro rename to website/docs/develop-docs/05-Maestro diff --git a/website/docs/01-core-software/04-Arranger b/website/docs/develop-docs/06-Arranger similarity index 100% rename from website/docs/01-core-software/04-Arranger rename to website/docs/develop-docs/06-Arranger diff --git a/website/docs/01-core-software/05-Stage b/website/docs/develop-docs/07-Stage similarity index 100% rename from website/docs/01-core-software/05-Stage rename to website/docs/develop-docs/07-Stage diff --git a/website/docs/develop-docs/08-api-reference.mdx b/website/docs/develop-docs/08-api-reference.mdx new file mode 100644 index 00000000..a92c450d --- /dev/null +++ b/website/docs/develop-docs/08-api-reference.mdx @@ -0,0 +1,108 @@ +# API Reference + +Welcome to our API reference documentation. This page provides detailed information about our available APIs. +You can explore the endpoints, request parameters and response schemas directly from this page. + +The Overture Platform has six APIs: + +1. [**Song:**](/develop/api-reference#song-api) a RESTful (Swagger) API for file metadata stored in Song. +2. [**Score:**](/develop/api-reference#score-api) a RESTful (Swagger) API for communicating with the Score Server. +3. [**Maestro:**](/develop/api-reference#maestro-api) a RESTful (Swagger) API for managing Song data indexing operations. +4. [**Lyric:**](/develop/api-reference#lyric-api) a RESTful (Swagger) API for tabular data submission, validation, and querying. +5. [**Lectern:**](/develop/api-reference#lectern-api) a RESTful (Swagger) API for managing data dictionary schemas. +6. [**Arranger:**](#arranger-graphql-api) a GraphQL search API, with a set of read-only introspection REST endpoints. + +Song, Score, Maestro, Lyric, and Lectern are documented with Swagger below. Arranger's API is GraphQL rather than REST, so it is documented in the [Arranger component reference](#arranger-graphql-api). + +## RESTful APIs + +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +All our available RESTful APIs use Swagger to help document endpoint usage and expected outcomes. Here are some tips for using the Swagger UI: + +1. **Expand Operations**: Click on an endpoint to expand its details. +2. **Read Descriptions**: Each endpoint has a description explaining its purpose and usage. +3. **Check Parameters**: Review the required and optional parameters for each endpoint. +4. **Examine Responses**: Look at the possible response codes and schemas to understand what to expect from each endpoint. + +### Song API + +The Song API allows you to manage and query file metadata in your system. + +#### Key Features + +- Manage study, analysis, and file-centric entity metadata +- Validate and submit analysis metadata with schema versioning and publication controls (published/unpublished/suppressed) +- Manage schemas used for validations +- Check the health of the Song-server + + + +### Score API + +The Score API provides endpoints that allow to to query the Score server and programmatically transfer files to and from object storage. + +#### Key Features + +- Manage file uploads and downloads with multipart support and recovery mechanisms +- Track and verify file integrity using MD5 checksums and progress monitoring +- Control object storage with flexible listing, partial content handling, and secure access controls + + + +### Maestro API + +The Maestro API provides you with endpoints for data indexing. + +#### Key Features + +- Index an entire repository, a specific organization within it, or a single record by ID +- Trigger indexing at the granularity you need, from full-repository re-indexing down to one record + + + +### Lyric API + +The Lyric API allows you to submit, validate, query, and manage tabular data against Lectern dictionary schemas. + +#### Key Features + +- Validate and submit tabular data files against Lectern dictionary schemas, with a staged submission workflow +- Manage committed data with full CRUD operations +- Query committed data, including SQON-based search +- Track a complete audit history of data changes +- Manage dictionary categories and register Lectern dictionaries for use + + + +### Lectern API + +The Lectern API allows you to manage and query data dictionary schemas. + +#### Key Features + +- List, create, and retrieve data dictionaries, and add or update the schemas within them +- Look up an individual schema or field definition within a dictionary +- Compute the difference between two dictionary versions +- Download a dictionary schema template + + + +

+ +## Arranger GraphQL API + +Arranger is Overture's search API. Unlike the services above it is a **GraphQL** API rather than REST/Swagger: a client sends a [SQON](/develop/Arranger/usage/building-sqon-queries) filter with field selections to a single `/graphql` endpoint, and Arranger translates it into an Elasticsearch query. It also exposes read-only **introspection** REST endpoints for discovering a server's catalogues and fields. + +Arranger's API is documented in the Arranger component reference: + +- [**Query processing**](/develop/Arranger/usage/query-processing) — how a search request flows from SQON through GraphQL to Elasticsearch. +- [**Building SQON queries**](/develop/Arranger/usage/building-sqon-queries) and [**SQON in detail**](/develop/Arranger/usage/sqon-in-detail) — the filter language. +- [**Introspection API**](/develop/Arranger/usage/introspection) — read-only REST endpoints describing a server's catalogues, fields, types, and operators. +- [**AI & automation**](/develop/Arranger/usage/ai-and-automation) — the MCP server that wraps this API for AI-agent access. + +

+ +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). +::: \ No newline at end of file diff --git a/website/docs/contribution.md b/website/docs/develop-docs/09-contributing.md similarity index 100% rename from website/docs/contribution.md rename to website/docs/develop-docs/09-contributing.md diff --git a/website/docs/develop-docs/images/arrangerDev.svg b/website/docs/develop-docs/images/arrangerDev.svg new file mode 100644 index 00000000..ee8e8e9e --- /dev/null +++ b/website/docs/develop-docs/images/arrangerDev.svg @@ -0,0 +1 @@ +
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Define input fields with rules, logic and syntax

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Extends Keycloak's functionality to support API authentication

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Define input fields with rules, logic and syntax

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Extends Keycloak's functionality to support API authentication

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Define the structure and formatting of your data
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Define the structure of your index

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Define input fields with rules, logic and syntax

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Extends Keycloak's functionality to support API authentication

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Define the structure and formatting of your data
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Define the structure of your index

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Define input fields with rules, logic and syntax

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Object Storage Providers
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Extends Keycloak's functionality to support API authentication

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Define the structure and formatting of your data
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Define the structure of your index

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Message queuing of publication events for triggering downstream data indexing 
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Define input fields with rules, logic and syntax

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Object Storage Providers
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Extends Keycloak's functionality to support API authentication

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Define the structure and formatting of your data
Arranger Configs...


Index Mapping
Define the structure of your index

Index Mapping...
Event Processing
Message queuing of publication events for triggering downstream data indexing 
Event Processing...
Data Management & Storage
Data Management & Storagez

Song Schema
Define input fields with rules, logic and syntax

Song Schema...

Object Storage Providers
Score is compatible with any S3 compliant object storage provider

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Overture API Key Provider
Extends Keycloak's functionality to support API authentication

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Authorization & Authentication
Authorization & AuthenticationText is not SVG - cannot display \ No newline at end of file diff --git a/website/docs/01-core-software/01-core-software.mdx b/website/docs/develop-docs/index.md similarity index 66% rename from website/docs/01-core-software/01-core-software.mdx rename to website/docs/develop-docs/index.md index 3901907e..b6df57a5 100644 --- a/website/docs/01-core-software/01-core-software.mdx +++ b/website/docs/develop-docs/index.md @@ -1,4 +1,21 @@ -# Core Software +--- +title: Build +slug: / +sidebar_label: Develop Overture +sidebar_position: 0 +--- + +# Building on Overture + +**For developers working with or extending Overture components and the MCP +infrastructure.** + +This journey is the developer home for Overture: the per-component **reference +library** (Lectern, Song, Score, Maestro, Arranger, Stage), the API reference, +the Arranger MCP developer documentation, components under active development, +and the standards for contributing to Overture and its documentation. + +## Core Software ![Core Software](./images/core-software.webp "Core Software") @@ -6,7 +23,7 @@ Overture is a genomics data platform that combines front and back-end services. Stage handles navigation, while Arranger enables data search. Authentication runs through Keycloak/Ego, Song manages metadata, Score handles S3 file transfers, and Maestro indexes to Elasticsearch for Arranger's search functionality. Together, these components enable efficient genomics data management. ::: -## Documentation Structure +### Documentation Structure Our core software documentation is organized as follows: @@ -18,44 +35,44 @@ Our core software documentation is organized as follows: └── /Usage ``` -### Overview +#### Overview The Overview section for each service typically includes: - High-level overview of the service - System architecture diagram and explanation - Key features and capabilities - Repository structure - Links to relevant GitHub repositories or additional resources -### Setup +#### Setup The Setup section runs you through the process of getting each service setup in a development environment. We offer guidance for the following Overture development configurations: - ![Platform](../02-platform-tools/images/platform.svg 'Overture Platform') + ![Platform](./images/platform.svg 'Overture Platform') - ![Song Dev](../02-platform-tools/images/songDev.svg 'Song Dev Environment') + ![Song Dev](./images/songDev.svg 'Song Dev Environment') - ![Score Dev](../02-platform-tools/images/scoreDev.svg 'Score Dev + ![Score Dev](./images/scoreDev.svg 'Score Dev Environment') - ![Maestro Dev](../02-platform-tools/images/maestroDev.svg 'Maestro Dev + ![Maestro Dev](./images/maestroDev.svg 'Maestro Dev Environment') - ![Arranger Dev](../02-platform-tools/images/arrangerDev.svg 'Arranger Dev + ![Arranger Dev](./images/arrangerDev.svg 'Arranger Dev Environment') - ![Stage Dev](../02-platform-tools/images/stageDev.svg 'Stage Dev + ![Stage Dev](./images/stageDev.svg 'Stage Dev Environment') :::info -For newcomers to Overture, we recommend starting with our Platform Quickstart and Platform Guides. Combined resources provide a comprehensive overview and hands-on experience with the Overture ecosystem. To begin your journey, [visit our Platform Guides](/guides/getting-started). +For newcomers to Overture, we recommend starting with our Platform Quickstart and Platform Guides. Combined resources provide a comprehensive overview and hands-on experience with the Overture ecosystem. To begin your journey, [visit the Deploy journey](/deploy). ::: -### Usage +#### Usage The Usage section provides detailed information on how to effectively use each service, including: @@ -64,7 +81,3 @@ The Usage section provides detailed information on how to effectively use each s - Troubleshooting and FAQs - Integration tips with other Overture services - Performance optimization suggestions - -### Contents - - diff --git a/website/docs/use-docs/01-conversational-data-discovery.md b/website/docs/use-docs/01-conversational-data-discovery.md new file mode 100644 index 00000000..31ecca48 --- /dev/null +++ b/website/docs/use-docs/01-conversational-data-discovery.md @@ -0,0 +1,99 @@ +--- +sidebar_position: 0.5 +--- + +# Conversational Data Discovery + +Conversational data discovery lets a researcher ask a deployed Overture portal questions in **plain language** and get back the exact records that answer them — without knowing field names, filter syntax, or query structure. + +> _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ + +The task is **natural language in, structured query out** — close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, and points to how to connect a client today. + +:::info Function first +This guide documents the *function* — ask a question, review the generated query, get results — and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). +::: + +## How a question becomes a query + +A generated query is three parts, each mapping to part of the sentence: + +| Part | What it decides | From the example | +|---|---|---| +| **SQON filter** | *which* records to return | "breast cancer … RNA-seq … Canadian donors" | +| **GraphQL field selection** | *which fields* to return for each record | "show me … samples" | +| **GraphQL aggregation** *(optional)* | a summary, when the question implies one | "*how many* … per province" | + +[SQON](/develop/Arranger/usage/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/usage/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/usage/introspection) rather than guessing. + +## Governing principles + +The workflow is built around four principles, driven by the reality that this runs over sensitive biomedical data. + +1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue *schema* (via introspection) to build a query, and a query returns only the fields it selects. +2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. +3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue — a bounded, read-only surface — not as free-form code against production systems. +4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. + +## The researcher workflow + +1. **Ask** a question in plain language against a chosen catalogue. +2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/usage/introspection) — the fields, their types, and the operators each accepts. +3. The model **builds the query** — a SQON filter plus a GraphQL field selection, and an aggregation if the question implies a summary. +4. The researcher **reviews and approves** the generated query (principle 2). +5. Arranger **executes** the approved query and returns the matching records (or aggregation buckets). + +## Connecting a client + +Arranger ships an **MCP server** that exposes its discovery and query tools over the [Model Context Protocol](https://modelcontextprotocol.io/) — so any MCP-compatible client can drive the workflow above without Arranger-specific integration code. It provides tools to list catalogues, fetch the SQON schema, and retrieve a catalogue's fields, plus the same data as readable MCP resources. + +To connect a client today: + +- **MCP Inspector** — a browser-based UI for browsing the server's resources and calling its tools; useful while setting things up. +- **LM Studio** — a desktop app that bundles a local model runtime with a chat UI; add the Arranger MCP server as an MCP entry. + +Any client that speaks MCP over Streamable HTTP works the same way. For the concrete server setup, the tools and resources it exposes, and per-client connection steps, see Arranger's [AI and automation](/develop/Arranger/usage/ai-and-automation) reference. + +## Try it locally + +The quickest way to see this end to end is the Conversational Data Discovery demo — a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data (gene correlation, mutation, expression, and protein catalogues). + +1. Clone and start the demo: + + ```bash + git clone -b overtureMCP --recurse-submodules https://github.com/overture-stack/prelude.git + cd prelude + make demo + ``` + + This runs system checks, starts the stack via Docker Compose, and loads the sample catalogues. The MCP server comes up at `http://localhost:3100/mcp`. + +2. Connect an MCP host — LM Studio, for example — by adding the server to its MCP config: + + ```json + { + "mcpServers": { + "arranger": { "url": "http://localhost:3100/mcp" } + } + } + ``` + +3. Load a tool-capable model and ask a question in plain language, for example: + + > _Show me BRCA genes with an overall mutation frequency above 10%_ + + The model discovers the catalogue's schema, constructs a query, and returns the matching records as a table. Follow-up questions refine the result set conversationally. + +See the [prelude repository](https://github.com/overture-stack/prelude) for the full walkthrough, the sample catalogues, and setup details. + +## What's coming + +The discovery workflow is being extended (tracked in the Arranger docs' [AI and automation](/develop/Arranger/usage/ai-and-automation#whats-coming) reference): + +- a dedicated researcher-facing **conversational host** (a chat front-end for non-technical users), +- **query-execution** tools that run an approved SQON against a catalogue and return results, and +- **authentication** on the MCP server. + +:::info **Need Help?** +If you encounter any issues or have questions, please reach out through our [**community support channels**](https://docs.overture.bio/community/support). +::: diff --git a/website/guides/03-user-guides/02-cli-downloads.md b/website/docs/use-docs/02-cli-downloads.md similarity index 97% rename from website/guides/03-user-guides/02-cli-downloads.md rename to website/docs/use-docs/02-cli-downloads.md index d5891d0a..596b5978 100644 --- a/website/guides/03-user-guides/02-cli-downloads.md +++ b/website/docs/use-docs/02-cli-downloads.md @@ -1,4 +1,4 @@ -# CLI Downloads +# File Download (Score CLI) **This guide is for** anyone seeking guidance on how to download data from an Overture platform. @@ -6,7 +6,7 @@ #### Visual Summary: -![Retrieval Overview](../images/dataRetrieval.webp "End Goal") +![Retrieval Overview](./images/dataRetrieval.webp "End Goal") ## Getting Started @@ -32,7 +32,7 @@ docker compose up --attach conductor 1. **Build your Query:** From the portal exploration page (`localhost:3000/explorer`), build your query using the search facets panel and data table. -![Build Query](../images/buildQueries.png "Build Query") +![Build Query](./images/buildQueries.png "Build Query") 2. **Download your manifest:** With your data of interest selected, click the download dropdown and select file manifest @@ -50,7 +50,7 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI. **2. Generate a new API token** by selecting **Profile and Token** from your user dropdown menu at the top right of the Stage UI and selecting **Generate New Token**. -![Accessing an API Key](../images/apikeys.png "Accessing an API Key") +![Accessing an API Key](./images/apikeys.png "Accessing an API Key") ### Run the Score Client diff --git a/website/guides/03-user-guides/01-cli-submissions.md b/website/docs/use-docs/03-cli-submissions.md similarity index 99% rename from website/guides/03-user-guides/01-cli-submissions.md rename to website/docs/use-docs/03-cli-submissions.md index 51b86a87..4e0e224d 100644 --- a/website/guides/03-user-guides/01-cli-submissions.md +++ b/website/docs/use-docs/03-cli-submissions.md @@ -1,4 +1,4 @@ -# CLI Submission +# File Submission (Song & Score CLI) **This guide is for** anyone seeking guidance on submitting data to an Overture platform. By the end of this guide you will have completed a full data submission workflow, including updating the submitted data to conform to the data model enforced by Song. @@ -8,7 +8,7 @@ #### Visual Summary: -![Submission Overview](../images/dataSubmission.webp "End Goal") +![Submission Overview](./images/dataSubmission.webp "End Goal") ### Getting Started @@ -28,7 +28,7 @@ **Ensure enough resources get allocated to Docker** We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** found on the top right of the Docker desktop app and selecting **resources** from the left panel. **If you already have docker desktop installed, ensure you are on version 4.39.0 or higher** ::: -## CLI Submssion +## CLI Submission ### Generate an API Key @@ -38,7 +38,7 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI. 2. **Once logged in, it's time to generate a new API token:** To do this, click on **Profile and Token** from your user drop down menu, located on the top right of the Stage UI. Then, select **Generate New Token**. -![Accessing an API Key](../images/apikeys.png "Accessing an API Key") +![Accessing an API Key](./images/apikeys.png "Accessing an API Key") ### Run the Song & Score Clients @@ -996,7 +996,7 @@ To address our second error we will have to take a look at the resources data mo 2. Select **Schema** and the **GET /schemas** endpoint 3. Click try it out and execute - ![Song Swagger](../images/song-swagger.png 'Song Swagger') + ![Song Swagger](./images/song-swagger.png 'Song Swagger') The response body will provide you a JSON document outlining Songs data model. In this case we are interested in the `quickStartSchema` as it was the `analysisType` used for validation of our payload. @@ -1106,7 +1106,7 @@ The final step in data submission is to set the state of the analysis to `PUBLIS You should now be able to find you uploaded data on the front-end portal found at `localhost:3000/explorer` -![Success](../images/success.png "Success") +![Success](./images/success.png "Success") :::tip **Help us make our guides better** diff --git a/website/docs/use-docs/03-workshop/00-Intro.md b/website/docs/use-docs/03-workshop/00-Intro.md new file mode 100644 index 00000000..5c397364 --- /dev/null +++ b/website/docs/use-docs/03-workshop/00-Intro.md @@ -0,0 +1,149 @@ +--- +id: prerequisites +title: Prerequisites +sidebar_position: 0 +description: Build a searchable, FAIR-compliant data discovery portal from tabular CSV data using Elasticsearch, Arranger, and Stage. +--- + +:::caution Complete the prerequisites before you start +Most importantly, download the Docker images in advance — depending on your connection, this can take a while. +::: + +# Prerequisites + +This tutorial will guide you through building a foundational data discovery portal for tabular CSV data using Elasticsearch, Arranger, and Stage. + +![Demo search and aggregation](./images/workshop-portal-preview.webp) + +**Objectives:** + +1. Deploy a functional data discovery portal using Elasticsearch, GraphQL, Arranger, and Stage +2. Configure search interfaces and indices tailored to tabular datasets +3. Gain familiarity with the tools needed to adapt this portal to your own data +4. Understand deployment options for making portals accessible on institutional networks and beyond + +## Prerequisites + +The following software should be installed and verified before you start: + +
+1. Git `git --version` returns a version number + +Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. + +
+ +
+2. Docker Desktop (`28.0.0` or later) + +- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) +- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) + +Once installed, open Docker Desktop → Settings → Resources and set: + +- **CPUs:** 4+ cores (8 recommended) +- **Memory:** 8 GB minimum +- **Disk:** 10 GB+ available + +Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated + +
+ +
+3. Docker images pre-downloaded Most time-consuming step, run these before you start + +Pull the required Docker images now to avoid slow downloads while working through this tutorial: + +```bash +docker pull alpine/curl:8.8.0 +docker pull postgres:15-alpine +docker pull docker.elastic.co/elasticsearch/elasticsearch:7.17.27 +docker pull ghcr.io/overture-stack/arranger-server:4919f736 +docker pull ghcr.io/overture-stack/conductor:171d9ce +docker pull node:18-alpine +``` + +Verify all six downloaded: + +```bash +docker images | grep -E "alpine/curl|postgres|elasticsearch|arranger-server|conductor|node" +``` + +You should see all six images listed. + +
+ +
+4. Repository cloned: `git clone -b quickstart https://github.com/overture-stack/prelude.git` + +The `prelude` repository contains everything needed for this tutorial: Docker Compose configuration, the Conductor wrapper script, and sample data. Clone it once before you start and you won't need internet access for the hands-on portion. + +```bash +git clone -b quickstart https://github.com/overture-stack/prelude.git +``` + +
+ +
+5. _(Windows only)_ WSL2 configured with Docker Desktop integration enabled + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
+ +#### Optional Prerequisites + +These are not required but will make this tutorial easier to follow: + +
+6. (Optional) Elasticvue: browser-based Elasticsearch GUI + +[Elasticvue](https://elasticvue.com/installation) is a browser-based Elasticsearch GUI useful for inspecting indices, browsing documents, and troubleshooting. It is not required but helpful for understanding what's happening inside Elasticsearch while working through this tutorial. + +Install it as a browser extension or standalone app. + +
+ +
+7. (Optional) PostgreSQL GUI client + +A PostgreSQL GUI client is useful for browsing the database while working through this tutorial. It is not required but helpful if you want to inspect the Postgres data directly. + +| OS | Recommended client | +| ------- | ----------------------------------------- | +| macOS | [Postico](https://eggerapps.at/postico2/) | +| Windows | [pgAdmin](https://www.pgadmin.org/) | +| Linux | [pgAdmin](https://www.pgadmin.org/) | + +
+ +
+8. (Optional) Bring your own data: CSV file + +If you have a tabular dataset you'd like to use, bring it as a CSV file. This tutorial uses demo data throughout, but the final sections cover adapting the portal to your own dataset. + +
+ +## Support + +| | | +| ------------------- | ---------------------------------------------------------------------------------------------------------------------- | +| **Community support** | [community support channels](https://docs.overture.bio/community/support) or [contact@overture.bio](mailto:contact@overture.bio) | +| **Bug reports** | [GitHub Issues](https://github.com/overture-stack/prelude/issues) | + +## Verification Checklist + +Before starting, confirm: + +1. `git --version` returns a version number +2. `docker --version` returns 28.0.0 or later +3. `docker compose version` returns a version number +4. Docker Desktop is running with 4+ CPUs and 8 GB+ memory allocated +5. **All six Docker images are downloaded** (`docker images`) — _this is the most time-consuming step_ +6. The repository is cloned and you can `cd` into it +7. _(Windows only)_ WSL2 is configured and Docker integration is enabled + +> **Troubleshooting:** If you run into issues, reach out via the [community support channels](https://docs.overture.bio/community/support). diff --git a/website/workshop/01-Running-the-Demo.md b/website/docs/use-docs/03-workshop/01-Running-the-Demo.md similarity index 98% rename from website/workshop/01-Running-the-Demo.md rename to website/docs/use-docs/03-workshop/01-Running-the-Demo.md index 9c21bcca..f95bca6f 100644 --- a/website/workshop/01-Running-the-Demo.md +++ b/website/docs/use-docs/03-workshop/01-Running-the-Demo.md @@ -19,7 +19,7 @@ Before building anything from scratch, let's deploy the pre-configured demo port If you have not done so yet, clone the following repository. ``` -git clone -b IBCworkshop https://github.com/overture-stack/prelude.git +git clone -b quickstart https://github.com/overture-stack/prelude.git cd prelude ``` diff --git a/website/workshop/02-Architecture.md b/website/docs/use-docs/03-workshop/02-Architecture.md similarity index 89% rename from website/workshop/02-Architecture.md rename to website/docs/use-docs/03-workshop/02-Architecture.md index 81131343..79502c09 100644 --- a/website/workshop/02-Architecture.md +++ b/website/docs/use-docs/03-workshop/02-Architecture.md @@ -16,8 +16,8 @@ Now that you've seen the running portal, let's walk through how data flows from | **Conductor** | CLI tool | Reads CSV files, loads records into PostgreSQL, then indexes them into Elasticsearch as structured documents. | | **[PostgreSQL](https://www.postgresql.org/)** | Database | Persistent relational storage for your data. Serves as the source of truth: data is loaded here first, then indexed into Elasticsearch for search. | | **[Elasticsearch](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/elasticsearch-intro.html)** | Search engine | Indexes and stores your data for search. Handles full-text search, faceted filtering, aggregations, and sorting. | -| **[Arranger](https://docs.overture.bio/docs/core-software/arranger/overview)** | Search API + UI layer | Sits between Elasticsearch and the frontend. Provides a GraphQL API and generates search UI components (facets, tables, filters) based on configuration files. | -| **[Stage](https://docs.overture.bio/docs/core-software/stage/overview/)** | Portal frontend | A React-based web application that renders Arranger's search components and provides the overall portal experience (navigation, theming, documentation pages). | +| **[Arranger](https://docs.overture.bio/develop/Arranger/overview)** | Search API + UI layer | Sits between Elasticsearch and the frontend. Provides a GraphQL API and generates search UI components (facets, tables, filters) based on configuration files. | +| **[Stage](https://docs.overture.bio/develop/Stage/overview/)** | Portal frontend | A React-based web application that renders Arranger's search components and provides the overall portal experience (navigation, theming, documentation pages). | ### Data Flow @@ -85,7 +85,7 @@ Services start in dependency order: PostgreSQL and Elasticsearch must be healthy ### The Overture Ecosystem -The components used in this workshop are part of the broader [Overture](https://overture.bio) open-source platform for research data management. The search and exploration stack we're using can be extended with additional services: +The components used in this tutorial are part of the broader [Overture](https://overture.bio) open-source platform for research data management. The search and exploration stack we're using can be extended with additional services: ![Platform Integration](./images/overture-platform-overview.webp) @@ -95,18 +95,20 @@ The components used in this workshop are part of the broader [Overture](https:// - **Score:** Object storage and file transfer - **Maestro:** Event-driven indexing from Song/Lyric into Elasticsearch -These extensions are beyond the scope of this workshop but represent the natural next steps for teams that need structured data submission workflows, file management, or multi-service integration. +These extensions are beyond the scope of this tutorial but represent the natural next steps for teams that need structured data submission workflows, file management, or multi-service integration. -#### Conversational Data Discovery _(Active development 2026-2028)_ +#### Conversational Data Discovery Structuring data through a search API like Arranger makes it **machine-accessible in a way that modern AI tooling can reason over**. Arranger exposes a live, structured description of your data, including field names, types, value distributions, and schema, making it a natural foundation for AI-assisted discovery. Our team is building a **[Conversational Data Discovery (CDD)](https://www.alliancecan.ca/en/latest/news/the-alliance-invests-in-transforming-research-software-to-accelerate-discovery)** platform that wraps self-hosted language models around Arranger-indexed datasets, allowing researchers to query and analyse data in plain language rather than constructing filters manually. The platform connects to Arranger via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) and is designed around four core principles: data minimisation by default, no action without explicit researcher consent, sandboxed code execution, and fully reproducible sessions. Because research data is often sensitive, the platform runs on sovereign infrastructure rather than routing queries through commercial AI providers. +See the [Conversational Data Discovery guide](/use/conversational-data-discovery) for the workflow, the governing principles, and how to connect a client today. + ![CDD Conceptual Mock](./images/conversational-data-discovery-mockup.webp) :::info -**The interface shown above is a conceptual mock-up**. CDD is under active development and is not covered in this workshop. +**The interface shown above is a conceptual mock-up**. CDD is under active development and is not covered in this tutorial. ::: The infrastructure you are building today will be compatible when the CDD platform reaches production. diff --git a/website/workshop/03-Data-Preparation.md b/website/docs/use-docs/03-workshop/03-Data-Preparation.md similarity index 96% rename from website/workshop/03-Data-Preparation.md rename to website/docs/use-docs/03-workshop/03-Data-Preparation.md index 0eec6e54..7c2fb803 100644 --- a/website/workshop/03-Data-Preparation.md +++ b/website/docs/use-docs/03-workshop/03-Data-Preparation.md @@ -11,7 +11,7 @@ In this section, we'll look at how to organize your data and what CSV formatting ### The Data Folder -Your CSV files can live anywhere on your machine, our data upload utility, Conductor, will accept a file path at upload time, so the portal doesn't require a fixed location. However, for this workshop we use the `data/` directory at the project root as a convenient working area. Place a representative subset of your data here so we have something to configure and test against: +Your CSV files can live anywhere on your machine, our data upload utility, Conductor, will accept a file path at upload time, so the portal doesn't require a fixed location. However, in this tutorial we use the `data/` directory at the project root as a convenient working area. Place a representative subset of your data here so we have something to configure and test against: ```plaintext project-root/ diff --git a/website/workshop/04-Generating-Configurations.md b/website/docs/use-docs/03-workshop/04-Generating-Configurations.md similarity index 98% rename from website/workshop/04-Generating-Configurations.md rename to website/docs/use-docs/03-workshop/04-Generating-Configurations.md index fff6e861..061d5143 100644 --- a/website/workshop/04-Generating-Configurations.md +++ b/website/docs/use-docs/03-workshop/04-Generating-Configurations.md @@ -261,7 +261,7 @@ Display names are auto-generated by converting `snake_case` to Title Case. Revie :::tip -For a full reference on `extended.json`, see the [Arranger extended configuration docs](https://docs.overture.bio/docs/core-software/arranger/usage/arranger-components). +For a full reference on `extended.json`, see the [Arranger extended configuration docs](https://docs.overture.bio/develop/arranger/usage/arranger-components). ::: #### arranger/table.json @@ -310,7 +310,7 @@ Consider hiding metadata columns (e.g. `submission_metadata.*`) by setting `"sho :::tip -For a full reference on `table.json`, see the [Arranger table configuration docs](https://docs.overture.bio/docs/core-software/Arranger/usage/arranger-components#table-configuration-tablejson). +For a full reference on `table.json`, see the [Arranger table configuration docs](https://docs.overture.bio/develop/Arranger/usage/arranger-components#table-configuration-tablejson). ::: #### arranger/facets.json @@ -353,7 +353,7 @@ Remove or deactivate facets that aren't useful for filtering, such as unique ID :::tip -For a full reference on `facets.json`, see the [Arranger facet configuration docs](https://docs.overture.bio/docs/core-software/Arranger/usage/arranger-components#facet-configuration-facetsjson). +For a full reference on `facets.json`, see the [Arranger facet configuration docs](https://docs.overture.bio/develop/Arranger/usage/arranger-components#facet-configuration-facetsjson). ::: ### Checkpoint diff --git a/website/workshop/05-Docker-Configuration.md b/website/docs/use-docs/03-workshop/05-Docker-Configuration.md similarity index 87% rename from website/workshop/05-Docker-Configuration.md rename to website/docs/use-docs/03-workshop/05-Docker-Configuration.md index b2ed067e..1193eb46 100644 --- a/website/workshop/05-Docker-Configuration.md +++ b/website/docs/use-docs/03-workshop/05-Docker-Configuration.md @@ -15,15 +15,15 @@ When you swap in a different dataset, a few values must change within the `docke | Variable | Service | Update to | | ---------------------------------------- | ------- | ------------------------------------------ | -| `ES_INDEX_0_NAME` | `setup` | your index name (`hockey_players-index`) | -| `ES_INDEX_0_TEMPLATE_NAME` | `setup` | your index name (`hockey_players-index`) | -| `ES_INDEX_0_ALIAS_NAME` | `setup` | your alias name (`hockey_players_centric`) | -| `NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX` | `stage` | your alias name (`hockey_players_centric`) | +| `ES_INDEX_0_NAME` | `setup` | your index name (`datatable1-index`) | +| `ES_INDEX_0_TEMPLATE_NAME` | `setup` | your index name (`datatable1-index`) | +| `ES_INDEX_0_ALIAS_NAME` | `setup` | your alias name (`datatable1_centric`) | +| `NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX` | `stage` | your alias name (`datatable1_centric`) | The most common mistake is updating the alias in one place but not the others. If Arranger throws a GraphQL schema error on startup, check that `ES_INDEX_0_ALIAS_NAME`, `esIndex` in `base.json`, and `NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX` all carry the same value. :::info -**The index pattern** (e.g. `hockey_players-*`) determines which future indices automatically inherit the mapping template. **The index name** (e.g. `hockey_player-index`) is the concrete index created at startup. **The alias** (e.g. `hockey_players_centric`) is what Arranger and Stage actually query. Aliases become more valuable when managing or migrating multiple indices, the distinction will be less apparent in this workshop. +**The index pattern** (e.g. `datatable1-*`) determines which future indices automatically inherit the mapping template. **The index name** (e.g. `datatable1-index`) is the concrete index created at startup. **The alias** (e.g. `datatable1_centric`) is what Arranger and Stage actually query. Aliases become more valuable when managing or migrating multiple indices, the distinction will be less apparent at this scale. ::: ## Step 2: Apply the Changes @@ -103,7 +103,7 @@ Before proceeding, confirm: ## Reference: Service Configuration Details -The following sections explain how each service in `docker-compose.yml` is wired up. This is supplemental — you don't need to modify these during the workshop, but it's useful context if you're adapting the platform for your own deployment. +The following sections explain how each service in `docker-compose.yml` is wired up. This is supplemental — you don't need to modify these while following along, but it's useful context if you're adapting the platform for your own deployment. ### Setup @@ -124,10 +124,10 @@ POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-admin123} ES_INDEX_COUNT: 1 # highlight-start -ES_INDEX_0_NAME: hockey_player-index # must match the index name in your mapping file +ES_INDEX_0_NAME: datatable1-index # must match the index name in your mapping file ES_INDEX_0_TEMPLATE_FILE: setup/configs/elasticsearchConfigs/datatable1-mapping.json # path to your mapping -ES_INDEX_0_TEMPLATE_NAME: hockey_players-index -ES_INDEX_0_ALIAS_NAME: hockey_players_centric # must match the alias in your mapping and base.json +ES_INDEX_0_TEMPLATE_NAME: datatable1-index +ES_INDEX_0_ALIAS_NAME: datatable1_centric # must match the alias in your mapping and base.json # highlight-end ``` @@ -139,11 +139,11 @@ ES_INDEX_0_ALIAS_NAME: hockey_players_centric # must match the alias in your map | `ES_INDEX_0_ALIAS_NAME` | The alias Arranger queries, must match `aliases` in your mapping and `esIndex` in `base.json` | :::info -The `setup` container is backed by shell scripts under `setup/scripts/` that handle sequencing, health checks, and initialization signalling. You do not need to modify these during the workshop, they run automatically with `make platform` or `make demo`. +The `setup` container is backed by shell scripts under `setup/scripts/` that handle sequencing, health checks, and initialization signalling. You do not need to modify these while following along, they run automatically with `make platform` or `make demo`. ::: :::tip -Multiple datasets are supported, each gets its own index block following the same `ES_INDEX_1_*` pattern. This is beyond the scope of this workshop, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance on multi-dataset setups afterwards. +Multiple datasets are supported, each gets its own index block following the same `ES_INDEX_1_*` pattern. This is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance on multi-dataset setups afterwards. ::: ### PostgreSQL @@ -170,10 +170,10 @@ postgres: | `POSTGRES_USER` | Database user, must match the value set in the setup service | | `POSTGRES_DB` | Database name, must match the value set in the setup service and your SQL schema | -The `postgres-data` volume ensures your data persists across container restarts. Credentials use `${VARIABLE:-default}` syntax, Docker Compose reads actual values from the `.env` file if it exists, falling back to the workshop defaults. For production, create a `.env` file with strong passwords (see `.env.example`). +The `postgres-data` volume ensures your data persists across container restarts. Credentials use `${VARIABLE:-default}` syntax, Docker Compose reads actual values from the `.env` file if it exists, falling back to the tutorial defaults. For production, create a `.env` file with strong passwords (see `.env.example`). :::tip -Adding a second dataset only requires a new SQL file in `setup/configs/postgresConfigs/`, the setup service discovers and executes all `.sql` files automatically, no changes to `docker-compose.yml` are needed. This is beyond the scope of this workshop, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. +Adding a second dataset only requires a new SQL file in `setup/configs/postgresConfigs/`, the setup service discovers and executes all `.sql` files automatically, no changes to `docker-compose.yml` are needed. This is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. ::: ### Arranger @@ -205,7 +205,7 @@ arranger-datatable1: | `ES_ARRANGER_SET_INDEX` | Internal Arranger bookmarks index, must be unique per Arranger instance | :::tip -Adding a second Arranger instance requires a new service block with a unique port, container name, config directory, and `ES_ARRANGER_SET_INDEX`. This is beyond the scope of this workshop, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. +Adding a second Arranger instance requires a new service block with a unique port, container name, config directory, and `ES_ARRANGER_SET_INDEX`. This is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. ::: ### Stage @@ -224,7 +224,7 @@ stage: # highlight-start NEXT_PUBLIC_ARRANGER_DATATABLE_1_API: http://arranger-datatable1:5050 # must match Arranger service name and port NEXT_PUBLIC_ARRANGER_DATATABLE_1_DOCUMENT_TYPE: records - NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX: hockey_players_centric # must match ES_INDEX_0_ALIAS_NAME in setup + NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX: datatable1_centric # must match ES_INDEX_0_ALIAS_NAME in setup NEXT_PUBLIC_DATATABLE_1_EXPORT_ROW_ID_FIELD: submission_metadata.submission_id # highlight-end @@ -240,5 +240,5 @@ stage: | `NEXT_PUBLIC_DATATABLE_1_EXPORT_ROW_ID_FIELD` | The field used as the unique row identifier for TSV export | :::tip -Stage natively supports up to 5 data table connections following the `DATATABLE_1`, `DATATABLE_2` naming pattern. Adding a second connection is beyond the scope of this workshop, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. +Stage natively supports up to 5 data table connections following the `DATATABLE_1`, `DATATABLE_2` naming pattern. Adding a second connection is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. ::: diff --git a/website/workshop/06-Loading-Data.md b/website/docs/use-docs/03-workshop/06-Loading-Data.md similarity index 96% rename from website/workshop/06-Loading-Data.md rename to website/docs/use-docs/03-workshop/06-Loading-Data.md index a54819ba..83880c97 100644 --- a/website/workshop/06-Loading-Data.md +++ b/website/docs/use-docs/03-workshop/06-Loading-Data.md @@ -214,7 +214,7 @@ If you fixed errors in the CSV itself, you need to clear both PostgreSQL and Ela
Other Conductor commands -The standard `upload` command runs the full CSV → PostgreSQL → Elasticsearch pipeline in one pass, which is what you need for the workshop. Conductor also exposes two targeted commands that operate on only one destination, useful when the two stages need to happen separately, for example if PostgreSQL and Elasticsearch are being managed independently, or if you need to debug one layer in isolation: +The standard `upload` command runs the full CSV → PostgreSQL → Elasticsearch pipeline in one pass, which is what you need here. Conductor also exposes two targeted commands that operate on only one destination, useful when the two stages need to happen separately, for example if PostgreSQL and Elasticsearch are being managed independently, or if you need to debug one layer in isolation: - **`upload-db`:** loads CSV data into PostgreSQL only, without indexing to Elasticsearch: diff --git a/website/workshop/07-Troubleshooting.md b/website/docs/use-docs/03-workshop/07-Troubleshooting.md similarity index 97% rename from website/workshop/07-Troubleshooting.md rename to website/docs/use-docs/03-workshop/07-Troubleshooting.md index ba348811..0cb4d78a 100644 --- a/website/workshop/07-Troubleshooting.md +++ b/website/docs/use-docs/03-workshop/07-Troubleshooting.md @@ -114,7 +114,7 @@ If Arranger responds to the GraphQL query above but the data table or facet pane | `extended.json` | Dot notation | `data.field_name` | | `base.json` | Alias name (`esIndex`) | `datatable1_centric` | -Another common `table.json` issue is the `query` field, which must use the correct GraphQL traversal path (`hits`, `edges`, `nodes`) to reach the field value. An incorrect path here will cause columns to render empty even when data is present. See the [Arranger table configuration docs](https://docs.overture.bio/docs/core-software/arranger/usage/arranger-components#table-configuration-tablejson) for the expected structure. +Another common `table.json` issue is the `query` field, which must use the correct GraphQL traversal path (`hits`, `edges`, `nodes`) to reach the field value. An incorrect path here will cause columns to render empty even when data is present. See the [Arranger table configuration docs](https://docs.overture.bio/develop/arranger/usage/arranger-components#table-configuration-tablejson) for the expected structure. ### Step 5: Check Stage and the Browser diff --git a/website/workshop/08-Portal-Customization.md b/website/docs/use-docs/03-workshop/08-Portal-Customization.md similarity index 96% rename from website/workshop/08-Portal-Customization.md rename to website/docs/use-docs/03-workshop/08-Portal-Customization.md index 13cd5f7f..b0373e2b 100644 --- a/website/workshop/08-Portal-Customization.md +++ b/website/docs/use-docs/03-workshop/08-Portal-Customization.md @@ -55,7 +55,7 @@ Additional typography variants (heading, subheading, data) can be adjusted in th The portal name displayed in the UI is set via the `NEXT_PUBLIC_LAB_NAME` environment variable in `docker-compose.yml`: ```yaml -NEXT_PUBLIC_LAB_NAME: IBC Workshop 2026 +NEXT_PUBLIC_LAB_NAME: My Data Portal ``` Change this to your lab or project name. @@ -210,7 +210,7 @@ The application uses `@emotion/react` for CSS-in-JS styling. Component-specific ### Further Customization -The platform is considerably more flexible than what this workshop covers. Two capabilities worth highlighting for those working with more complex datasets: +The platform is considerably more flexible than what this tutorial covers. Two capabilities worth highlighting for those working with more complex datasets: **QuickSearch (purple box)** adds a type-ahead search input to a data table that lets users find records by typing a field value directly, rather than browsing facet filters. It works by adding edge n-gram tokenization to the Elasticsearch mapping and enabling the feature in Arranger's `extended.json` and `facets.json`. It's well-suited to datasets where users already know the identifier they're looking for (a gene name, sample ID, etc.). @@ -218,7 +218,7 @@ The platform is considerably more flexible than what this workshop covers. Two c **Cross-table search (green box)** allows a selection made in one data table to propagate as a filter in another, using a shared identifier across heterogeneous datasets. For example, selecting a gene in one table can automatically filter a second table to show only records that share that gene. This is particularly useful for multi-omics or linked clinical and molecular datasets. -Both features require configuration beyond the scope of this workshop. Reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance on either. +Both features require configuration beyond the scope of this tutorial. Reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance on either. ### Checkpoint diff --git a/website/workshop/09-Next-Steps.md b/website/docs/use-docs/03-workshop/09-Next-Steps.md similarity index 81% rename from website/workshop/09-Next-Steps.md rename to website/docs/use-docs/03-workshop/09-Next-Steps.md index 66fd93c6..d376eb2f 100644 --- a/website/workshop/09-Next-Steps.md +++ b/website/docs/use-docs/03-workshop/09-Next-Steps.md @@ -22,7 +22,7 @@ You've seen how to generate configuration files from CSV data, wire services tog ### Going Beyond Localhost -The portal you've built runs entirely on your laptop and is only reachable at `localhost`. This is intentional for the workshop; it keeps the setup self-contained and requires no external infrastructure. However, a laptop is not a suitable host for a live web service. Laptops are not always on, and a portal goes offline whenever yours does. +The portal you've built runs entirely on your laptop and is only reachable at `localhost`. This is intentional for this tutorial; it keeps the setup self-contained and requires no external infrastructure. However, a laptop is not a suitable host for a live web service. Laptops are not always on, and a portal goes offline whenever yours does. Making the portal accessible to collaborators or the public requires dedicated infrastructure: @@ -35,7 +35,7 @@ Setting up and maintaining this infrastructure typically requires a system admin ### Expanding the Platform -The search and exploration stack used in this workshop is part of the broader Overture platform. Depending on your needs, you can extend it with: +The search and exploration stack used in this tutorial is part of the broader Overture platform. Depending on your needs, you can extend it with: ![Platform Integration](./images/overture-platform-overview.webp) @@ -54,7 +54,7 @@ These services compose together, letting you build from a simple search portal t One of the most compelling reasons to structure your data through Arranger is that it makes your data **machine-accessible in a way that modern AI tooling can reason over**. We are actively updating our search API so it can be consumed by a language model, enabling researchers to query and retrieve data in plain language. :::info -This capability is currently in active development by the Overture team. It is not part of this workshop, but it is a direct and natural extension of the infrastructure you are building here. +This capability is a direct and natural extension of the infrastructure you are building here. It is not part of this tutorial, but you can read how it works — the workflow, the governing principles, and how to connect a client — in the [Conversational Data Discovery guide](/use/conversational-data-discovery). ::: In addition to this our team is building a **Conversational Data Discovery (CDD)** platform: an interactive research environment that connects a self-hosted LLM to Overture datasets and beyond. Because Arranger exposes a live description of your data, including field names, types, value distributions, and catalogue structure, a language model is capable of: @@ -70,19 +70,13 @@ In addition to this our team is building a **Conversational Data Discovery (CDD) ### Get in Touch -Whether you're adapting the platform to your own data, running into issues after the workshop, or exploring what a larger deployment might look like for your research group, we're happy to help. Reach out to the Overture team directly at [contact@overture.bio](mailto:contact@overture.bio). - -### Post-Workshop Survey - -If you have a few minutes, we'd appreciate your feedback on the workshop. Your responses help us improve the content, pacing, and hands-on exercises for future sessions. - -**[Fill in the post-workshop survey →](https://docs.google.com/forms/d/e/1FAIpQLSc2lbZdaxW55SRgxw8f6NColoWIUm8299WU6DfkvsRnh6WQNA/viewform?usp=dialog)** +Whether you're adapting the platform to your own data, running into issues, or exploring what a larger deployment might look like for your research group, we're happy to help. Reach out to the Overture team directly at [contact@overture.bio](mailto:contact@overture.bio). ### Resources - **Overture Documentation:** [docs.overture.bio](https://docs.overture.bio) - **Overture GitHub:** [github.com/overture-stack](https://github.com/overture-stack) -- **Arranger Docs:** [Arranger overview](https://docs.overture.bio/docs/core-software/arranger/overview/) -- **Stage Docs:** [Stage overview](https://docs.overture.bio/docs/core-software/stage/overview/) +- **Arranger Docs:** [Arranger overview](https://docs.overture.bio/develop/Arranger/overview/) +- **Stage Docs:** [Stage overview](https://docs.overture.bio/develop/Stage/overview/) - **Elasticsearch 7.17 Reference:** [elastic.co/guide](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/index.html) - **Support Forum:** [GitHub Discussions](https://github.com/overture-stack/roadmap/discussions/categories/support) diff --git a/website/workshop/10-Extension-Task.md b/website/docs/use-docs/03-workshop/10-Extension-Task.md similarity index 85% rename from website/workshop/10-Extension-Task.md rename to website/docs/use-docs/03-workshop/10-Extension-Task.md index 2515c200..d037d255 100644 --- a/website/workshop/10-Extension-Task.md +++ b/website/docs/use-docs/03-workshop/10-Extension-Task.md @@ -14,7 +14,7 @@ Lectern is Overture's data dictionary management service. It gives those design The portal includes a **Dictionary Playground**: a live editor where you can write a Lectern schema and see it rendered as an interactive table in real time, with no server required. :::info -This is an extension task for participants who have completed the core workshop. +This is an optional follow-on for readers who want to go further after completing the walkthrough above. ::: ## Core Concepts @@ -158,14 +158,14 @@ The playground validates and previews dictionaries entirely in the browser. To p ### Lyric: Submission and Validation -[Lyric](https://docs.overture.bio/docs/core-software/lyric/overview) is Overture's data submission service. Once a dictionary is published to a running Lectern server, Lyric uses it to validate incoming records at submission time. Every field restriction you defined (required fields, code lists, regex patterns, numeric ranges) becomes an automated check that runs before a record is accepted. Submitters get immediate, field-level feedback rather than discovering inconsistencies after the fact. +[Lyric](https://docs.overture.bio/develop/Lyric/overview) is Overture's data submission service. Once a dictionary is published to a running Lectern server, Lyric uses it to validate incoming records at submission time. Every field restriction you defined (required fields, code lists, regex patterns, numeric ranges) becomes an automated check that runs before a record is accepted. Submitters get immediate, field-level feedback rather than discovering inconsistencies after the fact. ### Maestro: Indexing for Search -[Maestro](https://docs.overture.bio/docs/core-software/maestro/overview) is Overture's indexing service. Once validated data is in the system, Maestro transforms it into Elasticsearch indices that power the portal's search and exploration features. The schema you defined in Lectern informs how fields are indexed; typed fields, controlled vocabularies, and relationships carry through from the dictionary into the search layer. +[Maestro](https://docs.overture.bio/develop/Maestro/overview) is Overture's indexing service. Once validated data is in the system, Maestro transforms it into Elasticsearch indices that power the portal's search and exploration features. The schema you defined in Lectern informs how fields are indexed; typed fields, controlled vocabularies, and relationships carry through from the dictionary into the search layer. Together, Lectern -> Lyric -> Maestro form the data pipeline: you define the schema, submitters upload against it, and the resulting data becomes searchable in the portal. :::tip -The full Lectern schema reference (including all restriction types, versioning, and foreign key syntax) is documented at [docs.overture.bio](https://docs.overture.bio/docs/core-software/Lectern/dictionaryReference). +The full Lectern schema reference (including all restriction types, versioning, and foreign key syntax) is documented at [docs.overture.bio](https://docs.overture.bio/develop/Lectern/dictionaryReference). ::: diff --git a/website/workshop/images/basicPortal.webp b/website/docs/use-docs/03-workshop/images/basicPortal.webp similarity index 100% rename from website/workshop/images/basicPortal.webp rename to website/docs/use-docs/03-workshop/images/basicPortal.webp diff --git a/website/workshop/images/config-generator-page.webp b/website/docs/use-docs/03-workshop/images/config-generator-page.webp similarity index 100% rename from website/workshop/images/config-generator-page.webp rename to website/docs/use-docs/03-workshop/images/config-generator-page.webp diff --git a/website/workshop/images/conversational-data-discovery-mockup.webp b/website/docs/use-docs/03-workshop/images/conversational-data-discovery-mockup.webp similarity index 100% rename from website/workshop/images/conversational-data-discovery-mockup.webp rename to website/docs/use-docs/03-workshop/images/conversational-data-discovery-mockup.webp diff --git a/website/workshop/images/csv-upload-area.webp b/website/docs/use-docs/03-workshop/images/csv-upload-area.webp similarity index 100% rename from website/workshop/images/csv-upload-area.webp rename to website/docs/use-docs/03-workshop/images/csv-upload-area.webp diff --git a/website/workshop/images/demo-portal-cross-table.webp b/website/docs/use-docs/03-workshop/images/demo-portal-cross-table.webp similarity index 100% rename from website/workshop/images/demo-portal-cross-table.webp rename to website/docs/use-docs/03-workshop/images/demo-portal-cross-table.webp diff --git a/website/workshop/images/demo-search-and-aggregation.webm b/website/docs/use-docs/03-workshop/images/demo-search-and-aggregation.webm similarity index 100% rename from website/workshop/images/demo-search-and-aggregation.webm rename to website/docs/use-docs/03-workshop/images/demo-search-and-aggregation.webm diff --git a/website/workshop/images/documentation.webp b/website/docs/use-docs/03-workshop/images/documentation.webp similarity index 100% rename from website/workshop/images/documentation.webp rename to website/docs/use-docs/03-workshop/images/documentation.webp diff --git a/website/workshop/images/generated-output-panel.webp b/website/docs/use-docs/03-workshop/images/generated-output-panel.webp similarity index 100% rename from website/workshop/images/generated-output-panel.webp rename to website/docs/use-docs/03-workshop/images/generated-output-panel.webp diff --git a/website/workshop/images/homepage.webp b/website/docs/use-docs/03-workshop/images/homepage.webp similarity index 100% rename from website/workshop/images/homepage.webp rename to website/docs/use-docs/03-workshop/images/homepage.webp diff --git a/website/workshop/images/overture-platform-overview.webp b/website/docs/use-docs/03-workshop/images/overture-platform-overview.webp similarity index 100% rename from website/workshop/images/overture-platform-overview.webp rename to website/docs/use-docs/03-workshop/images/overture-platform-overview.webp diff --git a/website/workshop/images/workshop-architecture-diagram.webp b/website/docs/use-docs/03-workshop/images/workshop-architecture-diagram.webp similarity index 100% rename from website/workshop/images/workshop-architecture-diagram.webp rename to website/docs/use-docs/03-workshop/images/workshop-architecture-diagram.webp diff --git a/website/workshop/images/workshop-portal-preview.webp b/website/docs/use-docs/03-workshop/images/workshop-portal-preview.webp similarity index 100% rename from website/workshop/images/workshop-portal-preview.webp rename to website/docs/use-docs/03-workshop/images/workshop-portal-preview.webp diff --git a/website/docs/use-docs/administration/00-building-dictionaries.md b/website/docs/use-docs/administration/00-building-dictionaries.md new file mode 100644 index 00000000..89c1c167 --- /dev/null +++ b/website/docs/use-docs/administration/00-building-dictionaries.md @@ -0,0 +1,52 @@ +# Building Dictionaries + +Before any record is submitted to your platform, someone has to decide what fields exist, what types they hold, what values are permitted, and which are required. Lectern is Overture's data dictionary management service: it gives those decisions a persistent, versioned, machine-readable home, so the same dictionary that guides submitters also drives automated validation at ingestion time. + +## Dictionary Structure + +A Lectern dictionary is a JSON document made up of a name, a version, and one or more **schemas** — each schema modeling a single data entity (for example, `donor` or `specimen`). Within a schema, each **field** specifies a name, a value type (`string`, `integer`, `number`, or `boolean`), and any restrictions on the values it will accept: + +```json +{ + "name": "my-dictionary", + "version": "1.0", + "schemas": [ + { + "name": "donor", + "description": "Core donor record", + "fields": [ + { + "name": "donor_id", + "valueType": "string", + "restrictions": { "required": true, "regex": "^DO-[0-9]{3,}$" } + }, + { + "name": "sex", + "valueType": "string", + "restrictions": { + "required": true, + "codeList": ["Female", "Male", "Other", "Unknown"] + } + } + ] + } + ] +} +``` + +Restrictions (`required`, `codeList`, `regex`, `range`, and more) are where the curation work lives — they turn naming conventions and value ranges into enforced constraints, rejected at submission time rather than discovered after the fact. Schemas can also reference each other through shared identifier fields (a `specimen` schema referencing its donor's `donor_id`), expressing hierarchy without flattening everything into one table. + +## Where a Dictionary Fits + +Once published to a running Lectern server, a dictionary drives the rest of the pipeline: + +- **Lyric** validates incoming submissions against it — every restriction becomes an automated, field-level check +- **Maestro** uses the schema to inform how validated data is indexed into Elasticsearch, carrying typed fields, controlled vocabularies, and relationships through to the search layer + +## Try It: Dictionary Playground + +If you have a running instance, its portal includes a **Dictionary Playground** at `/dictionary/playground` — a live editor where you can write a schema and see it rendered as an interactive table in real time, no server required. + +:::tip +For the full schema reference — every restriction type, schema-level `uniqueKey`/`foreignKey` relationships, and versioning — see the [Lectern dictionary reference](/develop/Lectern/dictionaryReference). +::: diff --git a/website/guides/02-administration-guides/01-updating-the-data-model.md b/website/docs/use-docs/administration/01-building-song-schemas.md similarity index 99% rename from website/guides/02-administration-guides/01-updating-the-data-model.md rename to website/docs/use-docs/administration/01-building-song-schemas.md index 9249a03b..ddd01fe0 100644 --- a/website/guides/02-administration-guides/01-updating-the-data-model.md +++ b/website/docs/use-docs/administration/01-building-song-schemas.md @@ -1,4 +1,8 @@ -# Updating the Data Model +--- +title: Building Song Schemas +--- + +# Building Song Schemas ## Schema Validation and Submission @@ -9,7 +13,7 @@ Data administrators can configure custom data submission validations for Song by Song merges all admin-defined schemas with its pre-existing [base schema](https://github.com/overture-stack/SONG/blob/develop/song-server/src/main/resources/schemas/analysis/analysisBase.json). Therefore, when creating your schemas, it is important to reference the base schema to avoid specifying conflicting properties. :::info Song Base Schema -The Song base schema can be restrictive for data models outside of cancer research contexts, as it requires tumor and normal samples. We are aware of this limitation and are currently working on a new data-agnostic submission system. For more information, check out our [**software currently under development section**](/docs/under-development/) +The Song base schema can be restrictive for data models outside of cancer research contexts, as it requires tumor and normal samples. We are aware of this limitation and are currently working on a new data-agnostic submission system. For more information, check out [**Lyric, our tabular data submission service**](/develop/Lyric/overview) ::: ## Building Schemas diff --git a/website/guides/02-administration-guides/02-index-mappings.md b/website/docs/use-docs/administration/02-index-mappings.md similarity index 100% rename from website/guides/02-administration-guides/02-index-mappings.md rename to website/docs/use-docs/administration/02-index-mappings.md diff --git a/website/guides/02-administration-guides/03-customizing-the-data-portal.md b/website/docs/use-docs/administration/03-customizing-the-data-portal.md similarity index 98% rename from website/guides/02-administration-guides/03-customizing-the-data-portal.md rename to website/docs/use-docs/administration/03-customizing-the-data-portal.md index 48a6d1ef..10d2eaaa 100644 --- a/website/guides/02-administration-guides/03-customizing-the-data-portal.md +++ b/website/docs/use-docs/administration/03-customizing-the-data-portal.md @@ -55,7 +55,7 @@ The [base.json file](https://github.com/overture-stack/composer/blob/develop/con - `documentType` informs Arranger of the mapping type being used by Maestro, `analysis` or `file` centric :::info Learn More - For more information on index mappings and index centricity, see our [administration guide covering index mappings.](/guides/administration-guides/index-mappings) + For more information on index mappings and index centricity, see our [administration guide covering index mappings.](/use/administration/index-mappings) ::: ### Extended Configuration diff --git a/website/docs/use-docs/images/apikeys.png b/website/docs/use-docs/images/apikeys.png new file mode 100644 index 0000000000000000000000000000000000000000..6a223417170f3be44f47166dc24ff67e5b9ea79e GIT binary patch literal 547734 zcmbTecT`i`_BI?VAZk1yf*?ec4vL_H0uliWReCR>BQ;8umUuu^K#FvTh&1U{CG?=u ztI{Drq)UyI^knDD`Mu@)OzLqYDg 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a/website/guides/images/elasticvue.png b/website/docs/use-docs/images/elasticvue.png similarity index 100% rename from website/guides/images/elasticvue.png rename to website/docs/use-docs/images/elasticvue.png diff --git a/website/docs/use-docs/images/platform.svg b/website/docs/use-docs/images/platform.svg new file mode 100644 index 00000000..2aecd9f8 --- /dev/null +++ b/website/docs/use-docs/images/platform.svg @@ -0,0 +1 @@ +
e
e
Search & Exploration
Search & Exploration
Arranger Configs
Define the structure and formatting of your data
Arranger Configs...


Index Mapping
Define the structure of your index

Index Mapping...
Event Processing
Message queuing of publication events for triggering downstream data indexing 
Event Processing...
Data Management & Storage
Data Management & Storagez

Song Schema
Define input fields with rules, logic and syntax

Song Schema...

Object Storage Providers
Score is compatible with any S3 compliant object storage provider

Object Storage Providers...
Authorization & Authentication
Authorization & Authentication

Overture API Key Provider
Extends Keycloak's functionality to support API authentication

Overture API Key Provider...Text is not SVG - cannot display \ No newline at end of file diff --git a/website/guides/images/portal.png b/website/docs/use-docs/images/portal.png similarity index 100% rename from website/guides/images/portal.png rename to website/docs/use-docs/images/portal.png diff --git a/website/guides/images/song-swagger.png b/website/docs/use-docs/images/song-swagger.png similarity index 100% rename from website/guides/images/song-swagger.png rename to website/docs/use-docs/images/song-swagger.png diff --git a/website/guides/images/success.png b/website/docs/use-docs/images/success.png similarity index 100% rename from website/guides/images/success.png rename to website/docs/use-docs/images/success.png diff --git a/website/guides/images/swagger_register_schema.png b/website/docs/use-docs/images/swagger_register_schema.png similarity index 100% rename from website/guides/images/swagger_register_schema.png rename to website/docs/use-docs/images/swagger_register_schema.png diff --git a/website/docs/use-docs/index.md b/website/docs/use-docs/index.md new file mode 100644 index 00000000..d80469b1 --- /dev/null +++ b/website/docs/use-docs/index.md @@ -0,0 +1,40 @@ +--- +title: Use +slug: / +sidebar_label: Use Overture +sidebar_position: 0 +--- + +# Use Overture + +**For everyone working with an already-deployed Overture instance:** researchers +consuming and submitting data, and the administrators configuring it for them. + +## Data Consumers + +**These guides are for** researchers and analysts retrieving and exploring data from a deployed Overture portal. + +- **[File Download (Score CLI)](/use/cli-downloads):** retrieving data via the command line +- **[Conversational Data Discovery](/use/conversational-data-discovery):** asking a deployed portal questions in plain language + +## Data Submitters + +**These guides are for** anyone submitting data to an Overture platform. + +- **[File Submission (Song & Score CLI)](/use/cli-submissions):** submitting data via Song & Score's command line clients + +## Platform Administrators + +**These guides are for** informaticians and platform administrators configuring an already-running Overture instance to fit their data. + +**You will need** a running Overture instance — see the [Deploy](/deploy) journey if you haven't stood one up yet. + +- **[Building Dictionaries](/use/administration/building-dictionaries):** define the data dictionary that validates submissions and drives indexing +- **[Building Song Schemas](/use/administration/building-song-schemas):** define custom Song metadata schemas to validate submissions against your data requirements +- **[Index Mappings](/use/administration/index-mappings):** understand what index mappings are and how to configure them +- **[Customizing the Data Portal](/use/administration/customizing-the-data-portal):** customize how data is displayed in your front-end facets and table components +- **[Build a Search Portal](/use/workshop/prerequisites):** a hands-on, end-to-end tutorial covering all of the above + +:::tip Help us make our guides better +If you can't find what you're looking for please don't hesitate to reach out through our relevant [community support channels](https://docs.overture.bio/community/support). +::: diff --git a/website/docusaurus.config.ts b/website/docusaurus.config.ts index 477533e3..841da64d 100644 --- a/website/docusaurus.config.ts +++ b/website/docusaurus.config.ts @@ -19,7 +19,6 @@ const config: Config = { projectName: "Overture Docs", // Usually your repo name. onBrokenLinks: "throw", - onBrokenMarkdownLinks: "warn", headTags: [ { @@ -29,6 +28,24 @@ const config: Config = { content: "same-origin", }, }, + { + tagName: "link", + attributes: { rel: "preconnect", href: "https://fonts.googleapis.com" }, + }, + { + tagName: "link", + attributes: { + rel: "preconnect", + href: "https://fonts.gstatic.com", + crossorigin: "anonymous", + }, + }, + ], + + // Lato is the Overture brand typeface (matches overture.bio); it is the base + // font via --ifm-font-family-base in src/css/custom.css. + stylesheets: [ + "https://fonts.googleapis.com/css2?family=Lato:ital,wght@0,400;0,700;0,900;1,400;1,700&display=swap", ], // Even if you don't use internationalization, you can use this field to set @@ -44,34 +61,232 @@ const config: Config = { [ "@docusaurus/plugin-content-docs", { - id: "guides", - path: "guides", - routeBasePath: "guides", - sidebarPath: require.resolve("./guidesSidebars.ts"), + id: "community", + // Source dir is "docs/community-docs" for consistency with the other + // journeys (develop, deploy, use), which all live under website/docs/. + path: "docs/community-docs", + routeBasePath: "community", + sidebarPath: require.resolve("./communitySidebars.ts"), + // The documentation-standards content is vendored (.github submodule) + // and may carry dead /guides links (see remark/unlink-legacy-paths.js). + remarkPlugins: [require("./remark/unlink-legacy-paths")], }, ], [ "@docusaurus/plugin-content-docs", { - id: "workshop", - path: "workshop", - routeBasePath: "workshop", - sidebarPath: require.resolve("./workshopSidebars.ts"), + id: "develop", + path: "docs/develop-docs", + routeBasePath: "develop", + sidebarPath: require.resolve("./developSidebars.ts"), + // The per-component docs (Song, Maestro, ...) are vendored from each + // component's own submodule and may carry dead /guides links (see + // remark/unlink-legacy-paths.js). + remarkPlugins: [require("./remark/unlink-legacy-paths")], }, ], [ "@docusaurus/plugin-content-docs", { - id: "community", - path: "community", - routeBasePath: "community", - sidebarPath: require.resolve("./communitySidebars.ts"), + id: "deploy", + path: "docs/deploy-docs", + routeBasePath: "deploy", + sidebarPath: require.resolve("./deploySidebars.ts"), + }, + ], + [ + "@docusaurus/plugin-content-docs", + { + id: "use", + path: "docs/use-docs", + routeBasePath: "use", + sidebarPath: require.resolve("./useSidebars.ts"), + }, + ], + [ + // Preserves old URLs after the Deploy·Build·Use IA migration so external + // links, bookmarks, and cross-links from vendored component docs (which + // this repo cannot edit) don't 404. + "@docusaurus/plugin-client-redirects", + { + redirects: [ + // Guides -> journeys + { to: "/deploy", from: ["/guides", "/guides/getting-started"] }, + { to: "/deploy/deployment", from: "/guides/deployment-guide" }, + { + to: "/deploy/deployment/authorization", + from: "/guides/deployment-guide/authorization", + }, + { + to: "/deploy/deployment/data-management-storage", + from: "/guides/deployment-guide/data-management-storage", + }, + { + to: "/deploy/deployment/search-portal", + from: "/guides/deployment-guide/search-portal", + }, + // Administration guides moved from Deploy to Use (Administrators); + // the overview content now lives on the main Use overview page. + { + to: "/use", + from: ["/guides/administration-guides", "/deploy/administration"], + }, + // Renamed from "Updating the Data Model" for clarity (it's + // specifically about Song's metadata schemas) + { + to: "/use/administration/building-song-schemas", + from: [ + "/guides/administration-guides/updating-the-data-model", + "/deploy/administration/updating-the-data-model", + "/use/administration/updating-the-data-model", + ], + }, + { + to: "/use/administration/index-mappings", + from: [ + "/guides/administration-guides/index-mappings", + "/deploy/administration/index-mappings", + ], + }, + { + to: "/use/administration/customizing-the-data-portal", + from: [ + "/guides/administration-guides/customizing-the-data-portal", + "/deploy/administration/customizing-the-data-portal", + ], + }, + { to: "/use", from: "/guides/user-guides" }, + { + to: "/use/cli-submissions", + from: "/guides/user-guides/cli-submissions", + }, + { + to: "/use/cli-downloads", + from: "/guides/user-guides/cli-downloads", + }, + { + to: "/develop/api-reference", + from: ["/guides/api-reference", "/build/api-reference"], + }, + // Platform Tools -> Deploy + { to: "/deploy", from: "/docs/platform-tools" }, + { to: "/deploy/prelude", from: "/docs/platform-tools/prelude" }, + { to: "/deploy/quickstart", from: "/docs/platform-tools/quickstart" }, + // Docs -> Develop + { + to: "/develop/contributing", + from: ["/docs/contribution", "/build/contributing"], + }, + // Documentation standards moved from Build to Community (the + // /build/documentation-standards -> /community/... redirect is + // handled by createRedirects below, alongside its subpages) + { + to: "/community/documentation-standards/documentation-standards", + from: "/docs/documentation-standards", + }, + // Workshop -> Use + { to: "/use/workshop/prerequisites", from: "/workshop" }, + { + to: "/use/workshop/prerequisites", + from: "/workshop/prerequisites", + }, + { + to: "/use/workshop/running-the-demo", + from: "/workshop/running-the-demo", + }, + { + to: "/use/workshop/architecture", + from: "/workshop/architecture", + }, + { + to: "/use/workshop/data-preparation", + from: "/workshop/data-preparation", + }, + { + to: "/use/workshop/generating-configurations", + from: "/workshop/generating-configurations", + }, + { + to: "/use/workshop/docker-configuration", + from: "/workshop/docker-configuration", + }, + { + to: "/use/workshop/loading-data", + from: "/workshop/loading-data", + }, + { + to: "/use/workshop/troubleshooting", + from: "/workshop/troubleshooting", + }, + { + to: "/use/workshop/portal-customization", + from: "/workshop/portal-customization", + }, + { to: "/use/workshop/next-steps", from: "/workshop/next-steps" }, + { + to: "/use/workshop/extension-task", + from: "/workshop/extension-task", + }, + // Reference folded into Develop (formerly named Build) + { + to: "/develop", + from: ["/docs", "/docs/getting-started", "/build"], + }, + ], + // Component reference moved from /docs/* to /build/* (Reference folded + // into Build), then from /build/core-software/* to /build/* (the + // "Core Software" dropdown was flattened), then from /build/* to + // /develop/* (Build renamed to Develop); redirect every such page. + createRedirects(existingPath) { + const components = [ + "Lectern", + "Lyric", + "Song", + "Score", + "Maestro", + "Arranger", + "Stage", + ]; + for (const component of components) { + const prefix = `/develop/${component}`; + if (existingPath === prefix || existingPath.startsWith(`${prefix}/`)) { + const rest = existingPath.slice("/develop/".length); + return [ + `/docs/core-software/${rest}`, + `/build/core-software/${rest}`, + `/build/${rest}`, + ]; + } + } + // Documentation standards moved from /build/documentation-standards/* + // to /community/documentation-standards/documentation-standards/*. + if ( + existingPath.startsWith( + "/community/documentation-standards/documentation-standards", + ) + ) { + return existingPath.replace( + "/community/documentation-standards/documentation-standards", + "/build/documentation-standards", + ); + } + if (existingPath.startsWith("/community/documentation-standards/")) { + return existingPath.replace( + "/community/documentation-standards/", + "/build/documentation-standards/", + ); + } + return undefined; + }, }, ], ], markdown: { mermaid: true, + hooks: { + onBrokenMarkdownLinks: "warn", + }, }, themes: ["@docusaurus/theme-mermaid"], @@ -79,22 +294,17 @@ const config: Config = { [ "classic", { - docs: { - sidebarPath: "./sidebars.ts", - // Please change this to your repo. - // Remove this to remove the "edit this page" links. - editUrl: "https://github.com/overture-stack/docs", - }, - // Please change this to your repo. + // The default docs instance is disabled: the component reference now + // lives under the Develop journey (the "develop" plugin-content-docs + // instance above, served at /develop/*). + docs: false, blog: { showReadingTime: true, feedOptions: { type: ["rss", "atom"], xslt: true, }, - // Remove this to remove the "edit this page" links. - editUrl: - "https://github.com/overture-stack/docs/tree/main/packages/create-docusaurus/templates/shared/", + editUrl: "https://github.com/overture-stack/docs", // Useful options to enforce blogging best practices onInlineTags: "warn", onInlineAuthors: "warn", @@ -117,22 +327,19 @@ const config: Config = { src: "img/Overture-logo.png", }, items: [ - { to: "/guides/getting-started", label: "Guides", position: "left" }, - { - type: "docSidebar", - sidebarId: "docsSidebar", - position: "left", - label: "Documentation", - }, + { to: "/develop", label: "Develop", position: "left" }, + { to: "/deploy", label: "Deploy", position: "left" }, + { to: "/use", label: "Use", position: "left" }, { - to: "/workshop/prerequisites", - label: "Workshop", - position: "left", + to: "/community/support", + label: "Community", + position: "right", + className: "navbar__item--community", }, { - to: "/community/support", - label: "Community & Support", - position: "left", + href: "https://github.com/overture-stack/docs/discussions?discussions_q=", + label: "Support Forum", + position: "right", }, { href: "https://github.com/overture-stack", @@ -148,20 +355,16 @@ const config: Config = { title: "Docs", items: [ { - label: "Platform Guides", - to: "/guides/getting-started", - }, - { - label: "Developer Documentation", - to: "/docs/getting-started", + label: "Develop", + to: "/develop", }, { - label: "Under Development", - to: "/docs/under-development/", + label: "Deploy", + to: "/deploy", }, { - label: "Workshops", - to: "/workshop/prerequisites", + label: "Use", + to: "/use", }, ], }, diff --git a/website/guides/00-getting-started.mdx b/website/guides/00-getting-started.mdx deleted file mode 100644 index 2b2c7568..00000000 --- a/website/guides/00-getting-started.mdx +++ /dev/null @@ -1,74 +0,0 @@ -# Getting Started - -Welcome to the Overture platform guides. Here you'll find comprehensive information on deploying and using Overture microservices as an integrated platform. Our guides currently cover the following key areas: - - - -:::tip Help us make our guides better -If you can't find what you're looking for please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). -::: - -## Overture Platform Quick Start - -![Overture Platform Quickstart](./images/core-software.webp "Overture Platform Quickstart") - -For a rapid, hassle-free setup of the Overture data platform on your local machine, follow these steps: - -1. **Set Up Docker:** Install or update to Docker Desktop version 4.39.0 or higher. Visit [Docker's website](https://www.docker.com/products/docker-desktop/) for installation details. - - :::important - Allocate sufficient resources to Docker: - - - Minimum CPU: `8 cores` - - Memory: `8 GB` - - Swap: `2 GB` - - Virtual disk: `64 GB` - - Adjust these in Docker Desktop settings under "Resources". - ::: - -2. **Clone the Repository** - - ```bash - git clone -b quickstart https://github.com/overture-stack/prelude.git - ``` - -3. **Launch the Platform:** Run the appropriate command for your operating system: - - - For Unix/macOS run `make platform` - - For Windows run`./make.bat platform` - -This will deploy the following services in Docker: - -![Overture Platform Architecture](./images/platform.svg "Overture Platform") - -:::info Get Started with Our Platform Guides -Check out our [**administration**](/guides/administration-guides/) and [**user guides**](/guides/user-guides/) for detailed guidance on using the platform. -::: diff --git a/website/guides/02-administration-guides/02-administration-guides.md b/website/guides/02-administration-guides/02-administration-guides.md deleted file mode 100644 index f830614e..00000000 --- a/website/guides/02-administration-guides/02-administration-guides.md +++ /dev/null @@ -1,55 +0,0 @@ -# Administration Guides - -- **These guides are for** anyone seeking information on configuring and using Overture as their platform's foundation. We will walk you through the essential information for configuring it. - -- **You will need** Docker, we recommend using Docker Desktop version `4.39.0` or higher. If you already have Docker installed, please ensure it's up to date. For more information see, [Docker's website here](https://www.docker.com/products/docker-desktop/). - - :::caution - **Note:** Ensure enough resources get allocated to Docker. We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** found on the top right of the Docker desktop app and selecting **resources** from the left panel. **If you already have docker desktop installed, ensure you are on version 4.39.0 or higher**. - ::: - -- **Overview:** This guide covers basic administration tasks associated with setting up and maintaining an Overture platform. Topics covered include: - - - **[Updating the Data Model](/guides/administration-guides/updating-the-data-model):** Learn how to update your data model to reflect your data requirements - - - **[Index Mappings](/guides/administration-guides/updating-the-data-model):** Understand what Index mappings are and how to configure them - - - **[Search Portal Customization](/guides/administration-guides/updating-the-data-model):** Learn how to customize how data is displayed in your front-end data facets and table components - - :::tip Help us make our guides better - If you can't find what you're looking for please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). - ::: - -# Getting Started - -For a rapid, hassle-free setup of an Overture data platform on your local machine, follow these steps: - -1. **Set Up Docker:** Install or update to Docker Desktop version 4.39.0 or higher. Visit [Docker's website](https://www.docker.com/products/docker-desktop/) for installation details. - - :::important - Allocate sufficient resources to Docker: - - - Minimum CPU: `8 cores` - - Memory: `8 GB` - - Swap: `2 GB` - - Virtual disk: `64 GB` - - Adjust these in Docker Desktop settings under "Resources". - ::: - -2. **Clone the Repository** - - ```bash - git clone -b quickstart https://github.com/overture-stack/prelude.git - ``` - -3. **Launch the Platform:** Run the appropriate command for your operating system: - - | OS | Command | - | ---------- | --------------------- | - | Unix/macOS | `make platform` | - | Windows | `./make.bat platform` | - - This will deploy the following services in Docker: - - ![Overture Platform Architecture](../images/platform.svg "Overture Platform") diff --git a/website/guides/03-user-guides/03-user-guides.mdx b/website/guides/03-user-guides/03-user-guides.mdx deleted file mode 100644 index 3a3073e5..00000000 --- a/website/guides/03-user-guides/03-user-guides.mdx +++ /dev/null @@ -1,7 +0,0 @@ -# User Guides - -Using the Overture platform for data submission and retrieval. - - - - diff --git a/website/guides/04-api-reference.mdx b/website/guides/04-api-reference.mdx deleted file mode 100644 index a8cb41e3..00000000 --- a/website/guides/04-api-reference.mdx +++ /dev/null @@ -1,68 +0,0 @@ -# API Reference - -Welcome to our API reference documentation. This page provides detailed information about our available APIs. -You can explore the endpoints, request parameters and response schemas directly from this page. - -The Overture Platform has four APIs: - -1. [**Song:**](/guides/api-reference#song-api) A RESTful (Swagger) API for file metadata stored in Song. -2. [**Score:**](/guides/api-reference#score-api) RESTful (Swagger) API for communicating with the Score Server. -3. [**Maestro:**](/guides/api-reference#maestro-api) RESTful (Swagger) API for managing Song data indexing operations. - -:::info Important Note -Arranger API Reference documentation is currently under development and will be available soon. If you encounter any issues or have questions about our API, please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). -::: - -## RESTful APIs - -import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; - -All our available RESTful APIs use Swagger to help document endpoint usage and expected outcomes. Here are some tips for using the Swagger UI: - -1. **Expand Operations**: Click on an endpoint to expand its details. -2. **Read Descriptions**: Each endpoint has a description explaining its purpose and usage. -3. **Check Parameters**: Review the required and optional parameters for each endpoint. -4. **Examine Responses**: Look at the possible response codes and schemas to understand what to expect from each endpoint. - -### Song API - -The Song API allows you to manage and query file metadata in your system. - -#### Key Features - -- Manage study, analysis, donor, specimen, and sample metadata -- Validate and submit analysis metadata with schema versioning and publication controls (published/unpublished/suppressed) -- Manage schemas used for validations -- Check the health of the Song-server - - - -### Score API - -The Score API provides endpoints that allow to to query the Score server and programmatically transfer files to and from object storage. - -#### Key Features - -- Manage file uploads and downloads with multipart support and recovery mechanisms -- Track and verify file integrity using MD5 checksums and progress monitoring -- Control object storage with flexible listing, partial content handling, and secure access controls - - - -### Maestro API - -The Maestro API provides you with endpoints for data indexing. - -#### Key Features - -- Index Song repositories by analysis or study ID -- Convert analysis-centric data to file-centric document format -- Manage index operations at repository, study, and analysis levels with failure tracking - - - -

- -:::info Need Help? -If you encounter any issues or have questions about our API, please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). -::: \ No newline at end of file diff --git a/website/guides/images/core-software.webp b/website/guides/images/core-software.webp deleted file mode 100644 index ed50ce738c04ef0dbd7598226a8b578cd6e11ed1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1362066 zcmeFXbx>U2(6YImRAdfz|Zw`yyrYO3z-+vlD>-JkAzPIn`;H8c|5(E&`CE)RxYm|62v3MBOx|V#L zHP)-;ZHd>WEt#2hd3ZaSSL4BA(~R3gU6$L)EoC34T_kyVHAlBcNcL4+&9~isM~G(K*K6C zp10U<{DJj%N2S-H!Y}l$%$g6aKU>RZ1y7E*W8CG6?)<^?qz2!7CW$r=4@G-v4{{_w zFP*T_c5isi?5CaPjYr?PXRs8bP^_0bFrYl;_mzw`MZNd#QNXjoL*q^0<;jT*?DNW& z9R_5=?sFq!=4uD$f%JI#S<7y?j**Nf0cHMsyTbug^N(}?Y(UUr+Xsy8+~UD$5H{fi zJ(nCm^u0|Y{ue6mwM2Y;d4%R=hNnT)j=>x#;&NMoY6r9+sZHypH~B+SJFrtqZ&Gg@ 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"dependencies": { - "ansi-styles": "^4.0.0", - "string-width": "^4.1.0", - "strip-ansi": "^6.0.0" - }, - "engines": { - "node": ">=10" - }, - "funding": { - "url": "https://github.com/chalk/wrap-ansi?sponsor=1" + "peerDependenciesMeta": { + "@rspack/core": { + "optional": true + }, + "webpack": { + "optional": true + } } }, "node_modules/websocket-driver": { diff --git a/website/package.json b/website/package.json index d428596a..2eb74198 100644 --- a/website/package.json +++ b/website/package.json @@ -1,5 +1,5 @@ { - "name": "bridge-poc", + "name": "overture-docs", "version": "0.0.0", "private": true, "scripts": { @@ -15,10 +15,11 @@ "typecheck": "tsc" }, "dependencies": { - "@docusaurus/core": "^3.9.2", - "@docusaurus/preset-classic": "^3.9.2", - "@docusaurus/theme-mermaid": "^3.9.2", - "@docusaurus/theme-search-algolia": "^3.9.2", + "@docusaurus/core": "^3.10.2", + "@docusaurus/plugin-client-redirects": "^3.10.2", + "@docusaurus/preset-classic": "^3.10.2", + "@docusaurus/theme-mermaid": "^3.10.2", + "@docusaurus/theme-search-algolia": "^3.10.2", "@mdx-js/react": "^3.0.0", "clsx": "^2.0.0", "prism-react-renderer": "^2.3.0", @@ -27,9 +28,9 @@ "swagger-ui-react": "^5.29.2" }, "devDependencies": { - "@docusaurus/module-type-aliases": "^3.6.2", - "@docusaurus/tsconfig": "^3.6.2", - "@docusaurus/types": "^3.6.2", + "@docusaurus/module-type-aliases": "^3.10.2", + "@docusaurus/tsconfig": "^3.10.2", + "@docusaurus/types": "^3.10.2", "typescript": "~5.5.2" }, "browserslist": { diff --git a/website/remark/unlink-legacy-paths.js b/website/remark/unlink-legacy-paths.js new file mode 100644 index 00000000..48e32c44 --- /dev/null +++ b/website/remark/unlink-legacy-paths.js @@ -0,0 +1,43 @@ +// Build-time remark transform that "unlinks" internal links pointing at routes +// removed in the Deploy·Build·Use IA migration (the whole /guides tree). +// +// Why this exists: vendored component docs (Song, Maestro, ...) hard-code links +// to the old docs-site paths (e.g. /guides/administration-guides/index-mappings). +// This repo cannot edit that submodule content (it belongs to each component's +// own repo/PR flow), and @docusaurus/plugin-client-redirects routes do NOT +// satisfy `onBrokenLinks: "throw"`. Rather than relax the strict link check +// site-wide, this strips the link wrapper from dead /guides links, keeping the +// visible text. Applied only to instances that carry vendored content. +// +// Durable fix: repoint these links in the owning repos (Song, Maestro, ...) and +// bump the submodule pins, then delete this plugin and its wiring. + +const DEAD_PREFIXES = ["/guides"]; + +function isDeadUrl(url) { + if (typeof url !== "string") return false; + return DEAD_PREFIXES.some( + (p) => url === p || url.startsWith(p + "/") || url.startsWith(p + "#"), + ); +} + +function unlinkDeadLinks(node) { + if (!node || !Array.isArray(node.children)) return; + for (let i = 0; i < node.children.length; i++) { + const child = node.children[i]; + if (child.type === "link" && isDeadUrl(child.url)) { + // Replace the link node with its own children (the visible text), + // then reprocess from the same position. + node.children.splice(i, 1, ...(child.children || [])); + i--; + continue; + } + unlinkDeadLinks(child); + } +} + +module.exports = function unlinkLegacyPaths() { + return (tree) => { + unlinkDeadLinks(tree); + }; +}; diff --git a/website/sidebars.ts b/website/sidebars.ts deleted file mode 100644 index d6155b3f..00000000 --- a/website/sidebars.ts +++ /dev/null @@ -1,33 +0,0 @@ -import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; - -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ -const sidebars: SidebarsConfig = { - // By default, Docusaurus generates a sidebar from the docs folder structure - docsSidebar: [{type: 'autogenerated', dirName: '.'}], - - // But you can create a sidebar manually - -// docsSidebar: [ -// { -// type: 'category', -// label: 'moduleA', -// items: ['moduleA/nestedFolder/nestedElement'], -// }, -// { -// type: 'category', -// label: 'moduleB', -// items: ['moduleB/littleBlackSubmarines'], -// }, -// ], -}; - -export default sidebars; diff --git a/website/src/components/FundingStatment/index.tsx b/website/src/components/FundingStatment/index.tsx index e8d38297..b79ad029 100644 --- a/website/src/components/FundingStatment/index.tsx +++ b/website/src/components/FundingStatment/index.tsx @@ -6,7 +6,7 @@ const FundingStatement: React.FC = () => (

    Supported by

    - Grant #U24CA253529 from the National Cancer Institute at the US National Institutes of Health + Grant #U24CA253529 from the National Cancer Institute at the US National Institutes of Health, and by the Digital Research Alliance of Canada

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diff --git a/website/src/components/SiteMap/index.tsx b/website/src/components/SiteMap/index.tsx index cb89d888..30c4131b 100644 --- a/website/src/components/SiteMap/index.tsx +++ b/website/src/components/SiteMap/index.tsx @@ -1,194 +1,57 @@ import React from "react"; +import clsx from "clsx"; import Heading from "@theme/Heading"; import styles from "./styles.module.css"; -import iconSong from "./icons/icon-song.png"; -import iconScore from "./icons/icon-score.png"; -import iconMaestro from "./icons/icon-maestro.png"; -import iconArranger from "./icons/icon-arranger.png"; -import iconStage from "./icons/icon-stage.png"; -import iconLyric from "./icons/icon-lyric.png"; -import iconLectern from "./icons/icon-lectern.png"; +type JourneyKey = "develop" | "deploy" | "use"; -interface Product { - title: string; - link: string; - image?: string; - description: string; - category: string; -} - -interface Category { +interface Journey { title: string; description: string; + link: string; } -const categories: Record = { - platform: { - title: "Platform Tools", - description: "Bringing it all together", - }, - guides: { - title: "Platform Documentation", - description: "Platform focused guides", - }, - core: { - title: "Developer Documentation", - description: "Using our software in a development context", - }, - development: { - title: "Under Development", - description: "New components not quite ready for production", +const journeys: Record = { + develop: { + title: "Develop", + description: "For developers building on, and extending Overture services.", + link: "/develop", + }, + deploy: { + title: "Deploy", + description: + "For platform teams standing up and operating Overture platforms.", + link: "/deploy", }, - standards: { - title: "Documentation Standards", + use: { + title: "Use", description: - "Forming the foundation of documentation and development practice", + "For data consumers, submitters and administrators interacting with Overture platforms & services.", + link: "/use", }, }; -const products: Product[] = [ - { - title: "Platform Development Toolkit", - link: "/docs/platform-tools/Prelude", - description: "Prelude", - category: "platform", - }, - { - title: "Local Demo Portal", - link: "/docs/platform-tools/Quickstart", - description: "Quickstart", - category: "platform", - }, - { - title: "Deployment Docs", - link: "/guides/deployment-guide/", - description: "Deploying to Production", - category: "guides", - }, - { - title: "Administration Guides", - link: "/guides/administration-guides/", - description: "Management & Customization", - category: "guides", - }, - { - title: "User Guides", - link: "/guides/user-guides/", - description: "Interacting with the platform", - category: "guides", - }, - { - title: "API Reference", - link: "/guides/api-reference", - description: "Interacting with the platform's APIs", - category: "guides", - }, - { - title: "Dictionary Management", - link: "/docs/core-software/lectern/overview", - image: iconLectern, - description: "Lectern", - category: "core", - }, - { - title: "File Management", - link: "docs/core-software/song/overview", - image: iconSong, - description: "Song", - category: "core", - }, - { - title: "File Transfer", - link: "/docs/core-software/score/overview", - image: iconScore, - description: "Score", - category: "core", - }, - { - title: "Indexing Service", - link: "/docs/core-software/maestro/overview", - image: iconMaestro, - description: "Maestro", - category: "core", - }, - { - title: "Search API", - link: "/docs/core-software/arranger/overview", - image: iconArranger, - description: "Arranger", - category: "core", - }, - { - title: "Web Portal", - link: "/docs/core-software/stage/overview", - image: iconStage, - description: "Stage", - category: "core", - }, - { - title: "Dictionary Viewers", - link: "/docs/under-development/lecternViewer/", - description: "Lectern Viewer", - category: "development", - }, - // { - // title: "Arranger Charts", - // link: "/docs/development/arrangercharts/", - // description: "Visualized Cohort Browsing", - // category: "development", - // }, - { - title: "Tabular Data Submission", - link: "/docs/development/lyric/", - description: "Lyric", - category: "development", - }, - { - title: "Docs Site", - link: "/docs/documentation-standards/docsSite", - description: "Documentation website info", - category: "standards", - }, - { - title: "Documenting Projects", - link: "/docs/documentation-standards/github", - description: "Organization Standards", - category: "standards", - }, - { - title: "Documenting Software", - link: "/docs/documentation-standards/Software/", - description: "Software Standards", - category: "standards", - }, -]; - -const Card = ({ title, description, link, image }) => ( - - {image && ( - {`${title} - )} - - {title} - -

{description}

- -); +const PickerTile = ({ journeyKey }: { journeyKey: JourneyKey }) => { + const journey = journeys[journeyKey]; + return ( + + + {journey.title} + +

{journey.description}

+ Browse {journey.title} → + + ); +}; -const CategorySection = ({ category, items }) => ( -
- - {categories[category].title} - -

- {categories[category].description} -

-
- {items.map((props, idx) => ( - - ))} -
+const PickerRow = () => ( +
+ + +
); @@ -201,9 +64,9 @@ const FundingBadge = () => (

Overture is supported by grant #U24CA253529 from the National Cancer Institute at the US National Institutes of Health, and additional - funding from Genome Canada, the Canada Foundation for Innovation, the - Canadian Institutes of Health Research, Canarie, and the Ontario - Institute for Cancer Research. + funding from the Digital Research Alliance of Canada, Genome Canada, the + Canada Foundation for Innovation, the Canadian Institutes of Health + Research, Canarie, and the Ontario Institute for Cancer Research.

Learn More @@ -212,42 +75,13 @@ const FundingBadge = () => (
); -const SiteMap = () => { - const categorizedProducts = products.reduce((acc, product) => { - (acc[product.category] = acc[product.category] || []).push(product); - return acc; - }, {}); - - const rightColumnCategories = ["platform", "guides"]; - const leftColumnCategories = ["core", "development"]; - - return ( -
-
-
-
- {leftColumnCategories.map((category) => ( - - ))} -
-
- {rightColumnCategories.map((category) => ( - - ))} -
-
- -
-
- ); -}; +const SiteMap = () => ( +
+
+ + +
+
+); export default SiteMap; diff --git a/website/src/components/SiteMap/styles.module.css b/website/src/components/SiteMap/styles.module.css index 4a22fa70..731b4a6f 100644 --- a/website/src/components/SiteMap/styles.module.css +++ b/website/src/components/SiteMap/styles.module.css @@ -11,107 +11,64 @@ padding: 0 1rem; } -/* Category sections */ -.categorySection { - background-color: var(--category-category-color); - border-radius: 15px; - padding: 2rem; - box-shadow: var(--category-block-shadow); -} - -.categoryHeader, -.categorySubheader { - color: var(--category-title-color); -} - -.categoryHeader { - margin-bottom: 0.5rem; - font-size: 1.5rem; - font-weight: 700; -} - -.categorySubheader { - font-size: 1rem; - opacity: 0.8; -} - -/* Card grid */ -.cardGrid { +/* ---- Journey picker row: three equal, identically-shaped tiles ---- */ +.pickerRow { display: flex; - flex-wrap: wrap; - gap: 1rem; + gap: 1.5rem; } -/* Card styles */ -.card { +.pickerTile { --card-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); - --card-shadow-hover: 0 1px 2px rgba(0, 0, 0, 0.15); + --card-shadow-hover: 0 4px 10px rgba(0, 0, 0, 0.15); - flex: 1 1 calc(50% - 0.5rem); - min-width: 100px; + flex: 1; display: flex; flex-direction: column; - align-items: center; - padding: 1rem; - border-radius: 10px; - background-color: var(--category-card-color); + gap: 0.6rem; + background-color: var(--category-category-color); + border-radius: 15px; + padding: 1.75rem; box-shadow: var(--card-shadow); - transition: transform 0.3s ease, box-shadow 0.3s ease; + transition: transform 0.2s ease, box-shadow 0.2s ease; } -.card:hover, -.card:focus { +.pickerTile:hover, +.pickerTile:focus { transform: translateY(-2px); box-shadow: var(--card-shadow-hover); text-decoration: none; outline: none; } -.cardImage { - width: 46px; - height: 46px; - margin-bottom: 0.5rem; - object-fit: contain; -} - -.cardTitle { - font-size: 1rem; - font-weight: 600; - text-align: center; +.pickerTitle { + margin: 0; + font-size: 1.3rem; + font-weight: 700; color: var(--category-title-color); - margin-bottom: 0.5rem; -} - -.cardDescription { - font-size: 0.8rem; - text-align: center; - color: var(--ifm-color-emphasis-800); - margin-bottom: 0; } -/* Mosaic grid layout */ -.mosaicLayout { - display: flex; - gap: 2rem; -} - -.mosaicLayout .leftColumn, -.mosaicLayout .rightColumn { - flex: 1; - display: flex; - flex-direction: column; +.pickerDescription { + font-size: 0.95rem; + line-height: 1.5; + color: var(--category-title-color); + opacity: 0.8; + margin: 0; } -.mosaicLayout .leftColumn { - gap: 2rem; +.pickerGo { + margin-top: auto; + padding-top: 0.5rem; + font-size: 0.85rem; + font-weight: 700; + color: var(--journey-develop-color); } -.mosaicLayout .rightColumn { - gap: 2rem; +.pickerTile.deploy .pickerGo { + color: var(--journey-deploy-color); } -.mosaicLayout .rightColumn .cardTitle { - padding-top: 0.5rem; +.pickerTile.use .pickerGo { + color: var(--journey-use-color); } /* Funding section */ @@ -131,15 +88,18 @@ } .fundingTitle { - font-size: 1.8rem; + font-size: 1.3rem; + font-weight: 700; margin-bottom: 1rem; color: var(--category-title-color); } .fundingDescription { - font-size: 1.1rem; + font-size: 0.95rem; + line-height: 1.5; margin-bottom: 1.5rem; - color: var(--ifm-color-emphasis-800); + color: var(--category-title-color); + opacity: 0.8; } .fundingLink { @@ -161,43 +121,14 @@ } /* Responsive styles */ -@media (max-width: 1200px) { - .mosaicLayout { +@media (max-width: 900px) { + .pickerRow { flex-direction: column; } } @media (max-width: 768px) { - .card { - flex: 1 1 100%; - } - - .cardImage { - width: 50px; - height: 50px; - } - - .cardTitle, - .cardDescription { - width: 100%; - text-align: center; - } - .fundingBadge { padding: 1.5rem; } - - .fundingTitle { - font-size: 1.5rem; - } - - .fundingDescription { - font-size: 1rem; - } - - .mosaicLayout .rightColumn .card { - flex-direction: column; - text-align: left; - align-items: flex-start; - } } diff --git a/website/src/components/SwaggerAPIDoc/index.tsx b/website/src/components/SwaggerAPIDoc/index.tsx index 7c3a11fb..ff7dd8e6 100644 --- a/website/src/components/SwaggerAPIDoc/index.tsx +++ b/website/src/components/SwaggerAPIDoc/index.tsx @@ -1,28 +1,35 @@ import React from 'react'; import SwaggerUI from 'swagger-ui-react'; import 'swagger-ui-react/swagger-ui.css'; +import styles from './swagger-overrides.module.css'; import songAPISpec from './songAPI.json'; import scoreAPISpec from './scoreAPI.json'; import maestroAPISpec from './maestroAPI.json'; +import lyricAPISpec from './lyricAPI.json'; +import lecternAPISpec from './lecternAPI.json'; const specs = { song: songAPISpec, score: scoreAPISpec, - maestro: maestroAPISpec + maestro: maestroAPISpec, + lyric: lyricAPISpec, + lectern: lecternAPISpec }; const SwaggerAPIDoc = ({ specName = 'song' }) => { const spec = specs[specName] || songAPISpec; return ( - +
+ +
); }; diff --git a/website/src/components/SwaggerAPIDoc/lecternAPI.json b/website/src/components/SwaggerAPIDoc/lecternAPI.json new file mode 100644 index 00000000..17e314cd --- /dev/null +++ b/website/src/components/SwaggerAPIDoc/lecternAPI.json @@ -0,0 +1,1208 @@ +{ + "openapi": "3.0.0", + "info": { + "title": "Lectern", + "version": "0.0.0" + }, + "paths": { + "/dictionaries": { + "get": { + "summary": "Get dictionaries stored in lectern", + "description": "Returns list of dictionaries", + "parameters": [ + { + "name": "name", + "description": "name of dictionary", + "in": "query", + "required": false, + "schema": { + "type": "string" + } + }, + { + "name": "version", + "description": "version of dictionary", + "in": "query", + "required": false, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DictionaryListResponse" + } + } + } + }, + "400": { + "description": "Bad Request" + }, + "500": { + "description": "Internal server error" + } + }, + "tags": [ + "Dictionaries" + ] + }, + "post": { + "summary": "Create a new dictionary in lectern", + "description": "Saves the provided dictionary in lectern. Must not conflict with a previous dictionary name and version business key", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateDictionary" + } + } + }, + "description": "The dictionary to be saved", + "required": true + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}": { + "get": { + "summary": "Get a single dictionary", + "description": "Get single dictionary stored in lectern by mongo id", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas": { + "post": { + "summary": "Add a schema to an existing dictionary", + "description": "Update a dictionary by adding a new schema. The dictionary will be updated to the next major version number. ", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "requestBody": { + "$ref": "#/components/requestBodies/FileSchema" + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + }, + "put": { + "summary": "Update an existing schema in a dictionary", + "description": "Updates an existing file schema in a dictionary and updates the version to the next minor version.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "major", + "in": "query", + "required": false, + "schema": { + "type": "boolean" + } + } + ], + "requestBody": { + "$ref": "#/components/requestBodies/FileSchema" + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas/{schemaName}": { + "get": { + "summary": "Get a single schema", + "description": "Get all details of a schema from a specific dictionary. Results will have references replaced.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "schemaName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Schema" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas/{schemaName}/fields/{fieldName}": { + "get": { + "summary": "Get a single field", + "description": "Get all details of a field, found in a named schema from a specific dictionary. Results will have references replaced.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "schemaName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "fieldName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Field" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/diff": { + "get": { + "summary": "Compare differences between dictionaries", + "description": "Computes the difference between dictionaries at the field level", + "parameters": [ + { + "name": "name", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "left", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "right", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "The computed diff", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DiffResponse" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/template/download": { + "get": { + "summary": "Download dictionary templates", + "description": "Downloads a ZIP file containing TSV template files for each schema in a dictionary, given its name and version.", + "tags": [ + "Dictionaries" + ], + "parameters": [ + { + "name": "name", + "in": "query", + "description": "Name of the dictionary to download", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "version", + "in": "query", + "description": "Version of the dictionary to download", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "fileType", + "in": "query", + "description": "Select the format of the file to download - either `tsv` or `csv`. Defaults to `tsv` if not provided.", + "required": false, + "schema": { + "type": "string", + "enum": [ + "tsv", + "csv" + ] + } + }, + { + "name": "schemaName", + "in": "query", + "description": "Name of the schema to download", + "required": false, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ZIP file containing dictionary templates", + "content": { + "application/zip": { + "schema": { + "type": "string", + "format": "binary" + } + } + } + }, + "400": { + "description": "Missing dictionary name or version" + }, + "404": { + "description": "Dictionary not found" + }, + "500": { + "description": "Failed to generate template zip" + } + }, + "security": [ + { + "Bearer": [] + } + ] + } + } + }, + "servers": [ + { + "url": "/" + } + ], + "components": { + "parameters": { + "ShowReferences": { + "name": "references", + "summary": "show references in schema response", + "description": "If true, the schema references will be left in the response. By default, all references are replaced with their referenced values.", + "in": "query", + "required": false, + "schema": { + "type": "boolean" + } + } + }, + "requestBodies": { + "FileSchema": { + "content": { + "application/json": { + "schema": { + "type": "object" + } + } + }, + "description": "file schema", + "required": true + } + }, + "securitySchemes": { + "Bearer": { + "type": "apiKey", + "name": "Authorization", + "in": "header" + } + }, + "schemas": { + "Dictionary": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the dictionary" + }, + "description": { + "type": "string", + "required": false, + "description": "Description of the schema" + }, + "version": { + "type": "string", + "description": "Version of the dictionary" + }, + "schemas": { + "type": "array", + "description": "Set of file dictionaries describing the schemas for this dictionary version", + "items": { + "$ref": "#/components/schemas/Schema" + } + } + } + }, + "Schema": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the Schema" + }, + "description": { + "type": "string", + "description": "Description of the schema" + }, + "fields": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Field" + } + } + } + }, + "Field": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the Field" + }, + "description": { + "type": "string", + "description": "Description of the field" + }, + "meta": { + "type": "object", + "description": "Custom properties describing context specific details for the field" + }, + "restrictions": { + "type": "object", + "description": "Rules enforced by lectern validation clients" + } + } + }, + "CreateDictionary": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "The name of the parameter" + }, + "version": { + "type": "string", + "description": "Version of the dictionary" + }, + "schemas": { + "type": "array", + "description": "Set of file dictionaries describing the schemas for this dictionary version", + "items": { + "type": "object" + } + } + } + }, + "DictionaryListEntry": { + "type": "object", + "properties": { + "_id": { + "type": "string", + "description": "Internal database ID." + }, + "name": { + "type": "string", + "description": "The name of the Dictionary." + }, + "description": { + "type": "string", + "description": "Description of the Dictionary.", + "required": false + }, + "version": { + "type": "string", + "description": "Version of the Dictionary." + }, + "createdAt": { + "type": "string", + "description": "ISO formatted date that the Dictionary was created." + } + } + }, + "DictionaryListResponse": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DictionaryListEntry" + } + }, + "DiffItem": { + "type": "object", + "properties": { + "left": { + "type": "object" + }, + "right": { + "type": "object" + }, + "diff": { + "type": "object" + } + } + }, + "DiffResponse": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DiffItem" + } + } + } + }, + "default": { + "openapi": "3.0.0", + "info": { + "title": "Lectern", + "version": "0.0.0" + }, + "paths": { + "/dictionaries": { + "get": { + "summary": "Get dictionaries stored in lectern", + "description": "Returns list of dictionaries", + "parameters": [ + { + "name": "name", + "description": "name of dictionary", + "in": "query", + "required": false, + "schema": { + "type": "string" + } + }, + { + "name": "version", + "description": "version of dictionary", + "in": "query", + "required": false, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DictionaryListResponse" + } + } + } + }, + "400": { + "description": "Bad Request" + }, + "500": { + "description": "Internal server error" + } + }, + "tags": [ + "Dictionaries" + ] + }, + "post": { + "summary": "Create a new dictionary in lectern", + "description": "Saves the provided dictionary in lectern. Must not conflict with a previous dictionary name and version business key", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateDictionary" + } + } + }, + "description": "The dictionary to be saved", + "required": true + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}": { + "get": { + "summary": "Get a single dictionary", + "description": "Get single dictionary stored in lectern by mongo id", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas": { + "post": { + "summary": "Add a schema to an existing dictionary", + "description": "Update a dictionary by adding a new schema. The dictionary will be updated to the next major version number. ", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "requestBody": { + "$ref": "#/components/requestBodies/FileSchema" + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + }, + "put": { + "summary": "Update an existing schema in a dictionary", + "description": "Updates an existing file schema in a dictionary and updates the version to the next minor version.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "major", + "in": "query", + "required": false, + "schema": { + "type": "boolean" + } + } + ], + "requestBody": { + "$ref": "#/components/requestBodies/FileSchema" + }, + "security": [ + { + "Bearer": [] + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dictionary" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas/{schemaName}": { + "get": { + "summary": "Get a single schema", + "description": "Get all details of a schema from a specific dictionary. Results will have references replaced.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "schemaName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Schema" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/{dictionaryId}/schemas/{schemaName}/fields/{fieldName}": { + "get": { + "summary": "Get a single field", + "description": "Get all details of a field, found in a named schema from a specific dictionary. Results will have references replaced.", + "parameters": [ + { + "name": "dictionaryId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "schemaName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "fieldName", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Field" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/diff": { + "get": { + "summary": "Compare differences between dictionaries", + "description": "Computes the difference between dictionaries at the field level", + "parameters": [ + { + "name": "name", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "left", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "right", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "$ref": "#/components/parameters/ShowReferences" + } + ], + "responses": { + "200": { + "description": "The computed diff", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DiffResponse" + } + } + } + } + }, + "tags": [ + "Dictionaries" + ] + } + }, + "/dictionaries/template/download": { + "get": { + "summary": "Download dictionary templates", + "description": "Downloads a ZIP file containing TSV template files for each schema in a dictionary, given its name and version.", + "tags": [ + "Dictionaries" + ], + "parameters": [ + { + "name": "name", + "in": "query", + "description": "Name of the dictionary to download", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "version", + "in": "query", + "description": "Version of the dictionary to download", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "fileType", + "in": "query", + "description": "Select the format of the file to download - either `tsv` or `csv`. Defaults to `tsv` if not provided.", + "required": false, + "schema": { + "type": "string", + "enum": [ + "tsv", + "csv" + ] + } + }, + { + "name": "schemaName", + "in": "query", + "description": "Name of the schema to download", + "required": false, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ZIP file containing dictionary templates", + "content": { + "application/zip": { + "schema": { + "type": "string", + "format": "binary" + } + } + } + }, + "400": { + "description": "Missing dictionary name or version" + }, + "404": { + "description": "Dictionary not found" + }, + "500": { + "description": "Failed to generate template zip" + } + }, + "security": [ + { + "Bearer": [] + } + ] + } + } + }, + "servers": [ + { + "url": "/" + } + ], + "components": { + "parameters": { + "ShowReferences": { + "name": "references", + "summary": "show references in schema response", + "description": "If true, the schema references will be left in the response. By default, all references are replaced with their referenced values.", + "in": "query", + "required": false, + "schema": { + "type": "boolean" + } + } + }, + "requestBodies": { + "FileSchema": { + "content": { + "application/json": { + "schema": { + "type": "object" + } + } + }, + "description": "file schema", + "required": true + } + }, + "securitySchemes": { + "Bearer": { + "type": "apiKey", + "name": "Authorization", + "in": "header" + } + }, + "schemas": { + "Dictionary": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the dictionary" + }, + "description": { + "type": "string", + "required": false, + "description": "Description of the schema" + }, + "version": { + "type": "string", + "description": "Version of the dictionary" + }, + "schemas": { + "type": "array", + "description": "Set of file dictionaries describing the schemas for this dictionary version", + "items": { + "$ref": "#/components/schemas/Schema" + } + } + } + }, + "Schema": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the Schema" + }, + "description": { + "type": "string", + "description": "Description of the schema" + }, + "fields": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Field" + } + } + } + }, + "Field": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the Field" + }, + "description": { + "type": "string", + "description": "Description of the field" + }, + "meta": { + "type": "object", + "description": "Custom properties describing context specific details for the field" + }, + "restrictions": { + "type": "object", + "description": "Rules enforced by lectern validation clients" + } + } + }, + "CreateDictionary": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "The name of the parameter" + }, + "version": { + "type": "string", + "description": "Version of the dictionary" + }, + "schemas": { + "type": "array", + "description": "Set of file dictionaries describing the schemas for this dictionary version", + "items": { + "type": "object" + } + } + } + }, + "DictionaryListEntry": { + "type": "object", + "properties": { + "_id": { + "type": "string", + "description": "Internal database ID." + }, + "name": { + "type": "string", + "description": "The name of the Dictionary." + }, + "description": { + "type": "string", + "description": "Description of the Dictionary.", + "required": false + }, + "version": { + "type": "string", + "description": "Version of the Dictionary." + }, + "createdAt": { + "type": "string", + "description": "ISO formatted date that the Dictionary was created." + } + } + }, + "DictionaryListResponse": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DictionaryListEntry" + } + }, + "DiffItem": { + "type": "object", + "properties": { + "left": { + "type": "object" + }, + "right": { + "type": "object" + }, + "diff": { + "type": "object" + } + } + }, + "DiffResponse": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DiffItem" + } + } + } + } + } +} \ No newline at end of file diff --git a/website/src/components/SwaggerAPIDoc/lyricAPI.json b/website/src/components/SwaggerAPIDoc/lyricAPI.json new file mode 100644 index 00000000..334c32a6 --- /dev/null +++ b/website/src/components/SwaggerAPIDoc/lyricAPI.json @@ -0,0 +1 @@ +{"failOnErrors":true,"openapi":"3.0.1","info":{"title":"Lyric","version":"0.0.0-dev"},"externalDocs":{"url":"/api-docs/openapi.json","description":"OpenAPI Spec (JSON)"},"paths":{"/audit/category/{categoryId}/organization/{organization}":{"get":{"summary":"Retrieve change history of stored data","tags":["Audit"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/path/Organization"},{"name":"entityName","description":"Filter events based on entity name","in":"query","required":false},{"name":"eventType","description":"Filter events based on their type. Supported values inlude 'update' and 'delete'. If not provided all events will be returned","in":"query","required":false,"schema":{"type":"string","enum":["update","delete","migration"]}},{"name":"systemId","description":"Filter events by System ID","in":"query","required":false},{"name":"startDate","description":"Filter events to include only those that occur on or after the specified date. Date specified in ISO format (YYYY-MM-DD)","in":"query","required":false},{"name":"endDate","description":"Filter events to include only those that occur on or before the specified date. Date specified in ISO format (YYYY-MM-DD)","in":"query","required":false},{"name":"page","in":"query","required":false,"schema":{"type":"integer"},"description":"Optional query parameter to specify the page number of the results. Default value is 1"},{"name":"pageSize","in":"query","required":false,"schema":{"type":"integer"},"description":"Optional query parameter to specify the number of results per page. 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Aliases are rejected outright if they're purely numeric, so this collision shouldn't arise through normal API usage; as a defense in depth, if a value could still match both a category's numeric id and a different category's alias, the numeric id wins, so a category can never become unreachable by its own id.","tags":["Category"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"}],"responses":{"200":{"description":"Category Details","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CategoryDetails"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/category/{categoryId}/alias":{"put":{"summary":"Assign an alias to a category","description":"Sets a category's alias. Succeeds when the category has no alias yet, or when the requested alias matches its existing one (idempotent retry). Changing an already-set alias to a different value isn't supported yet, use DELETE then PUT instead.","tags":["Category"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"}],"requestBody":{"content":{"application/json":{"schema":{"type":"object","properties":{"alias":{"type":"string","description":"A human-readable identifier for the category, usable anywhere a categoryId is accepted. It isn't permanent: it can be cleared or reassigned to a different category later. Letters, numbers, hyphens, underscores, and periods only. A purely numeric value (e.g. `5`) is rejected, since it could collide with a category's numeric id; a value containing a decimal point (e.g. `2.5`) is allowed, including as a data version label."}},"required":["alias"]}}}},"responses":{"200":{"description":"The category, with its alias set","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CategorySummary"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"409":{"$ref":"#/components/responses/StatusConflict"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}},"delete":{"summary":"Clear a category's alias","description":"Removes a category's alias, freeing it for reuse. 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Find more documentation on https://github.com/overture-stack/sqon-builder","required":true,"content":{"application/json":{"schema":{"type":"object","description":"A SQON object"},"examples":{"in":{"summary":"In - Field must match the provided value or be included in the array of values.","value":{"op":"and","content":[{"op":"in","content":{"fieldName":"name","value":["Bob"]}}]}},"not":{"summary":"Not in - Field must not match the provided value or not to be included in the array of values.","value":{"op":"not","content":[{"op":"in","content":{"fieldName":"name","value":["Tom"]}}]}},"gt":{"summary":"Greater Than - field value must be greater than the given number","value":{"op":"and","content":[{"op":"gt","content":{"fieldName":"years","value":21}}]}},"lt":{"summary":"Lesser Than - field value must be lesser than the given number","value":{"op":"and","content":[{"op":"lt","content":{"fieldName":"years","value":100}}]}},"combination":{"summary":"Every SQON can be combined with other SQONs through the boolean combinations 'and', 'or', and 'not'","value":{"op":"or","content":[{"op":"in","content":{"fieldName":"name","value":["Bob"]}},{"op":"gt","content":{"fieldName":"score","value":100}}]}}}}}},"responses":{"200":{"description":"Submitted Data","content":{"application/json":{"schema":{"$ref":"#/components/schemas/GetSubmittedDataResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/data/category/{categoryId}/stream":{"get":{"summary":"Stream Submitted Data for a specific Category","tags":["Data"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/query/View"},{"name":"entityName","description":"Array of strings to filter by entity names. 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Letters, numbers, hyphens, underscores, and periods only; an empty string is treated as not provided. A purely numeric value (e.g. `5`) is rejected, since it could collide with a category's numeric id; a value containing a decimal point (e.g. `2.5`) is allowed, including as a data version label. Can only be set here at category creation; supplying it while registering onto an existing category returns 400. Use PUT/DELETE /category/{categoryId}/alias to add or remove one afterward; changing an already-set alias isn't supported yet."},"categoryName":{"type":"string","description":"A user-defined classification to group and organize data based on shared characteristics or criteria"},"defaultCentricEntity":{"type":"string","description":"The default centric entity name"},"dictionaryName":{"type":"string","description":"A matching Dictionary Name defined on Dictionary Manager (Lectern)"},"dictionaryVersion":{"type":"string","description":"A matching Dictionary Version defined on Dictionary Manager (Lectern)"}},"required":["categoryName","dictionaryName","dictionaryVersion"]}}}},"responses":{"200":{"description":"Dictionary info","content":{"application/json":{"schema":{"$ref":"#/components/schemas/RegisterDictionaryResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"409":{"$ref":"#/components/responses/StatusConflict"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/dictionary/category/{categoryId}":{"get":{"summary":"Get schema JSON for a specific dictionary by ID and schema name","tags":["Dictionary"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"}],"responses":{"200":{"description":"Dictionary schema JSON","content":{"application/json":{"schema":{"type":"object","description":"The schema definition JSON"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"}}}},"/dictionary/category/{categoryId}/templates":{"get":{"summary":"Download data file templates for a dictionary","tags":["Dictionary"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"name":"fileType","in":"query","required":false,"schema":{"type":"string","enum":["csv","tsv"]},"description":"File type for the templates"}],"responses":{"200":{"description":"A ZIP file containing all the templates","content":{"application/zip":{"schema":{"type":"string","format":"binary"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"}}}},"/health":{"get":{"summary":"Check readiness of the service","tags":["Health"],"responses":{"200":{"description":"Returns a 200 OK status code if the application is considered healthy and ready to receive traffic","content":{"application/json":{"schema":{"$ref":"#/components/schemas/Health"}}}}}}},"/migration/category/{categoryId}":{"get":{"summary":"Retrieve the Migrations for a category","tags":["Migration"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/query/Page"},{"$ref":"#/components/parameters/query/PageSize"}],"responses":{"200":{"description":"List of Migrations","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ListMigrationsResult"}}}},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/migration/{migrationId}":{"get":{"summary":"Get Migration general information by ID","tags":["Migration"],"parameters":[{"$ref":"#/components/parameters/path/MigrationId"}],"responses":{"200":{"description":"Migration general information","content":{"application/json":{"schema":{"$ref":"#/components/schemas/MigrationResult"}}}},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/migration/{migrationId}/records":{"get":{"summary":"Retrieve the records for a migration","tags":["Migration"],"parameters":[{"$ref":"#/components/parameters/path/MigrationId"},{"isInvalid":null,"description":"Optional query parameter to filter results to include only invalid records. Default is to include all records.","name":"isInvalid","in":"query","schema":{"type":"boolean"},"required":false},{"$ref":"#/components/parameters/query/Page"},{"$ref":"#/components/parameters/query/PageSize"}],"responses":{"200":{"description":"List of Migration records","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ListMigrationRecordsResult"}}}},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/ping":{"get":{"summary":"Status of the service","tags":["Ping"],"responses":{"200":{"description":"Status"}}}},"/submission/{submissionId}":{"get":{"summary":"Get submission information by ID","tags":["Submission"],"parameters":[{"name":"submissionId","in":"path","type":"string","required":true}],"responses":{"200":{"description":"Submission information","content":{"application/json":{"schema":{"$ref":"#/components/schemas/SubmissionResult"}}}},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}},"delete":{"summary":"Close an Active Submission by ID","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/SubmissionId"},{"$ref":"#/components/parameters/query/ForceDeleteSubmission"}],"responses":{"200":{"description":"Submission closed successfully","content":{"application/json":{"schema":{"$ref":"#/components/schemas/DeleteSubmissionResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"409":{"$ref":"#/components/responses/StatusConflict"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/submission/{submissionId}/details":{"get":{"summary":"Fetch Submission Data records. Sorted in their original file order and grouped by `inserts`, `updates`, and `deletes`.","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/SubmissionId"},{"name":"actionTypes","in":"query","schema":{"type":"array","items":{"type":"string","enum":["inserts","updates","deletes"]}},"uniqueItems":true,"description":"Filters the Submission Data records by action type. Valid values are `inserts`, `updates`, and `deletes` (case insensitive). If not provided, all action types are returned."},{"name":"entityNames","in":"query","schema":{"type":"array","items":{"type":"string"}},"uniqueItems":true,"description":"Filters the Submission Data records by entity name. Must match names listed in the Submission Summary endpoint. 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If not provided all the items within the submission type will be deleted."}],"responses":{"200":{"description":"Submission cleared successfully. 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Data is provided as JSON in the request body.","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/query/EntityName"},{"$ref":"#/components/parameters/query/Organization"}],"requestBody":{"description":"The JSON payload containing the data to be added to the submission","required":true,"content":{"application/json":{"schema":{"type":"array","items":{"type":"object"}}}}},"responses":{"200":{"description":"Submission accepted","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateSubmissionResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}},"put":{"summary":"Modifies existing data for a submission. Data is provided as JSON in the request body.","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/query/EntityName"},{"$ref":"#/components/parameters/query/Organization"}],"requestBody":{"description":"The JSON payload containing the data to be added to the submission","required":true,"content":{"application/json":{"schema":{"type":"array","items":{"type":"object"}}}}},"responses":{"200":{"description":"Edit Data request accepted","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateSubmissionResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/submission/category/{categoryId}/files":{"post":{"summary":"Add new data to a submission for the specified category. An optional filename-to-entity map can be provided to control which entity each file is submitted for, enabling multiple files for the same entity and files whose names do not match the entity name.","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/query/Organization"},{"name":"sync","in":"query","required":false,"schema":{"type":"string","enum":[true,false],"default":"false"},"description":"Controls whether file parsing is synchronous. When `false` (default), parsing runs in the background and `fileResults` will be empty in the response. When `true`, the response waits for all files to be parsed and returns per-file results in `fileResults`.\n**Warning:** Using `sync=true` on very large batches may cause the request to time out before the response is returned. Monitor server logs for parse errors when using the default async mode.\n"}],"requestBody":{"description":"File(s) to be added to the submission, with an optional mapping of filenames to entity names.","required":true,"content":{"multipart/form-data":{"schema":{"type":"object","required":["files"],"properties":{"files":{"type":"array","items":{"type":"string","format":"binary"}},"fileEntityMap":{"type":"array","description":"Optional mapping of uploaded filenames to entity names. When provided, each file is matched to its entity using this map. When omitted, each file's name (without extension) must match an entity name in the dictionary.","items":{"$ref":"#/components/schemas/FilenameEntityPair"}}}},"encoding":{"fileEntityMap":{"contentType":"application/json"}}}}},"responses":{"200":{"description":"Submission accepted","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateSubmissionResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/submission/category/{categoryId}/data/{systemId}":{"delete":{"summary":"Removes data from a submission using the System ID. Returns an Active Submission containing the records that will be deleted","tags":["Submission"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"name":"systemId","in":"path","required":true,"schema":{"type":"string"},"description":"The unique system ID of the data to be deleted"}],"responses":{"200":{"description":"Delete Data request accepted","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateSubmissionResult"}}}},"400":{"$ref":"#/components/responses/BadRequest"},"401":{"$ref":"#/components/responses/UnauthorizedError"},"404":{"$ref":"#/components/responses/NotFound"},"409":{"$ref":"#/components/responses/StatusConflict"},"500":{"$ref":"#/components/responses/ServerError"},"503":{"$ref":"#/components/responses/ServiceUnavailableError"}}}},"/validator/category/{categoryId}/entity/{entityName}/exists":{"get":{"summary":"Check if a record exists based on category, organization, entity, and value","tags":["Validator"],"parameters":[{"$ref":"#/components/parameters/path/CategoryId"},{"$ref":"#/components/parameters/path/EntityName"},{"$ref":"#/components/parameters/query/Organization"},{"$ref":"#/components/parameters/query/Value"}],"responses":{"200":{"description":"Record exists","content":{"application/json":{"schema":{"type":"object","properties":{"message":{"type":"string","example":"Record found"}}}}}},"400":{"$ref":"#/components/responses/BadRequest"},"404":{"$ref":"#/components/responses/NotFound"},"500":{"$ref":"#/components/responses/ServerError"}}}}},"components":{"parameters":{"path":{"CategoryId":{"name":"categoryId","in":"path","required":true,"schema":{"type":"string"},"description":"Numeric ID or alias of the category to which the data belongs. Not yet accepted on submission endpoints (create/commit/delete), which still require the numeric id."},"EntityName":{"description":"The name of the Entity","name":"entityName","in":"path","schema":{"type":"string"},"required":true},"MigrationId":{"name":"migrationId","in":"path","required":true,"schema":{"type":"string"},"description":"The ID of the Migration"},"Organization":{"name":"organization","in":"path","required":true,"schema":{"type":"string"}},"SubmissionId":{"name":"submissionId","in":"path","required":true,"schema":{"type":"string"},"description":"The ID of the Submission"}},"query":{"EntityName":{"description":"The name of the Entity","name":"entityName","in":"query","schema":{"type":"string"},"required":true},"ForceDeleteSubmission":{"description":"Optional query parameter to force the deletion of a submission. Default value is false","name":"force","in":"query","schema":{"type":"boolean"},"required":false},"OnlyActive":{"description":"Optional query parameter to filter results to include only active submissions. Default value is false","name":"onlyActive","in":"query","schema":{"type":"boolean"},"required":false},"Organization":{"description":"The name of the Organization","name":"organization","in":"query","schema":{"type":"string"},"required":true},"OrganizationFilter":{"description":"Optional query parameter to filter results to include only submissions associated to an specific organization. By default, returns submissions from all organizations","name":"organization","in":"query","schema":{"type":"string"},"required":false},"Page":{"name":"page","in":"query","required":false,"schema":{"type":"integer"},"description":"Optional query parameter to specify the page number of the results. Default value is 1"},"PageSize":{"name":"pageSize","in":"query","required":false,"schema":{"type":"integer"},"description":"Optional query parameter to specify the number of results per page. Default value is 20"},"Username":{"name":"username","in":"query","required":false,"schema":{"type":"string"},"description":"Optional query parameter to filter results to include only submissions associated to a specific user. By default, returns submissions from all users"},"Value":{"name":"value","in":"query","required":true,"schema":{"type":"string"},"description":"The value to search for in the specified field"},"View":{"name":"view","in":"query","required":false,"schema":{"type":"string","enum":["flat","compound"]},"description":"Optional query parameter to define the data format. Choose 'flat' for a simple, single-level collection of records, or 'compound' for a nested, schema-centric structure. The default value is 'flat'"}}},"responses":{"BadRequest":{"description":"Error response indicating that the client's request is malformed or invalid","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"Error":{"type":"object","properties":{"error":{"type":"string","description":"Error type"},"message":{"type":"string","decription":"Description of the error"}}},"Forbidden":{"description":"Error response indicating invalid access due to inadequate permissions","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"NotFound":{"description":"Requested resource could not be found","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"ServerError":{"description":"Internal Server Error","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"ServiceUnavailableError":{"description":"Error message indicating the server is currently unable to handle the request, often due to maintenance, overload, or temporary issues","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"StatusConflict":{"description":"Error response indicating the requested action could not be performed on the entity in its current state.","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}},"UnauthorizedError":{"description":"Access token is missing or invalid","content":{"application/json":{"schema":{"$ref":"#/components/responses/Error"}}}}},"schemas":{"Pagination":{"type":"object","properties":{"currentPage":{"type":"number"},"pageSize":{"type":"number"},"totalPages":{"type":"number"},"totalRecords":{"type":"number"}}},"ListSubmissionsResult":{"type":"object","properties":{"pagination":{"$ref":"#/components/schemas/Pagination"},"records":{"type":"array","items":{"$ref":"#/components/schemas/SubmissionResult"}}}},"SubmissionDetailsResult":{"type":"object","properties":{"data":{"type":"array","items":{"type":"object","properties":{"type":{"type":"string","description":"Type of action","enum":["INSERTS","UPDATES","DELETES"]},"entity":{"type":"string","description":"Name of the entity"},"value":{"type":"object","description":"Content of the record in JSON format"},"index":{"type":"number","description":"Index of the record in the submission"}}}},"errors":{"type":"array","items":{"$ref":"#/components/schemas/ValidationError"}}}},"SubmissionResult":{"type":"object","properties":{"id":{"type":"number","description":"ID of the Submission"},"data":{"type":"object","properties":{"inserts":{"type":"object","additionalProperties":{"type":"object","properties":{"batchName":{"type":"string","description":"Original filename of the submission"},"recordsCount":{"type":"number","description":"Number Of Records"}}}},"updates":{"type":"object","additionalProperties":{"type":"object","properties":{"recordsCount":{"type":"number"}}}},"deletes":{"type":"object","additionalProperties":{"type":"object","properties":{"recordsCount":{"type":"number"}}}},"total":{"type":"number","description":"Total number of records in the submission"}}},"dictionary":{"type":"object","description":"Dictionary used to validate the submission","properties":{"name":{"type":"string"},"version":{"type":"string"}}},"dictionaryCategory":{"type":"object","description":"Category this dictionary belongs in","properties":{"id":{"type":"number"},"name":{"type":"string"}}},"errors":{"type":"object","properties":{"inserts":{"type":"object","additionalProperties":{"type":"object","properties":{"recordsCount":{"type":"number"}}}},"updates":{"type":"object","additionalProperties":{"type":"object","properties":{"recordsCount":{"type":"number"}}}},"deletes":{"type":"object","additionalProperties":{"type":"object","properties":{"recordsCount":{"type":"number"}}}},"total":{"type":"number","description":"Total number of error records in the submission"}}},"organization":{"type":"string","description":"Organization the Submission belongs to"},"status":{"type":"string","description":"Status of the Submission","enum":["OPEN","VALID","INVALID","CLOSED","COMMITTED"]},"createdAt":{"type":"string","description":"Date and time of creation"},"createdBy":{"type":"string","description":"Name of user who created the submission"},"updatedAt":{"type":"string","description":"Date and time of latest update"},"updatedBy":{"type":"string","description":"Name of user who last updated the submission"}}},"FilenameEntityPair":{"type":"object","required":["filename","entity"],"properties":{"filename":{"type":"string","description":"The original filename of the uploaded file.","example":"donor123_specimens.tsv"},"entity":{"type":"string","description":"The entity name this file contains data for.","example":"specimen"}}},"BatchError":{"type":"object","properties":{"message":{"type":"string","description":"A message describing the error"},"type":{"type":"string","description":"The type of error","enum":["INCORRECT_SECTION","INVALID_FILE_EXTENSION","INVALID_FILE_NAME","MISSING_REQUIRED_HEADER","MULTIPLE_TYPED_FILES","TSV_PARSING_FAILED","UNRECOGNIZED_HEADER"]},"batchName":{"type":"array","description":"List of batch names causing error","items":{"type":"string"}}}},"CategoryDetails":{"type":"object","properties":{"alias":{"type":"string","description":"Optional alias for the category, usable in place of the numeric id anywhere a categoryId is accepted. Not set if none was assigned at creation."},"id":{"type":"number","description":"ID of the Category"},"dictionary":{"type":"object","description":"Dictionary used to validate the submission","properties":{"name":{"type":"string"},"version":{"type":"string"}}},"name":{"type":"string","description":"Name of the Category"},"organizations":{"type":"array","items":{"type":"string","description":"List of organizations on this category"}},"createdAt":{"type":"string","description":"Date and time of creation"},"createdBy":{"type":"string","description":"User name who created the submission"},"updatedAt":{"type":"string","description":"Date and time of latest update"},"updatedBy":{"type":"string","description":"User name who last updated the submission"}}},"CategorySummary":{"type":"object","properties":{"alias":{"type":"string","description":"Optional alias for the category. Not set if none is assigned."},"id":{"type":"number","description":"ID of the Category"},"name":{"type":"string","description":"Name of the Category"}}},"ChangeHistorySummaryResult":{"type":"object","properties":{"pagination":{"$ref":"#/components/schemas/Pagination"},"records":{"type":"array","items":{"$ref":"#/components/schemas/ChangeHistoryRecord"}}}},"ChangeHistoryRecord":{"type":"object","properties":{"entityName":{"type":"string","description":"Name of the Entity"},"event":{"type":"string","description":"Type of event","enum":["UPDATE","DELETE","MIGRATION"]},"errors":{"type":"array","description":"List of validation errors related to the change if applicable","items":{"$ref":"#/components/schemas/ValidationError"}},"dataDiff":{"type":"object","description":"Captures the state of the data before the change as `old` and after the change as `new`"},"newIsValid":{"type":"boolean","description":"New data isValid value"},"oldIsValid":{"type":"boolean","description":"Old data isValid value"},"organization":{"type":"string","description":"Name of the Organization"},"submissionId":{"type":"string","description":"Submission ID the change belongs to"},"systemId":{"type":"string","description":"The unique identifier of the record changed"},"createdAt":{"type":"string","description":"Date and time of creation"},"createdBy":{"type":"string","description":"User name who updated the submission"}}},"CommitSubmissionResult":{"required":["status","dictionary"],"type":"object","properties":{"status":{"type":"string","description":"Result of Commiting Submission","enum":["PROCESSING"]},"dictionary":{"type":"object","description":"The dictionary used to validate the submission","properties":{"name":{"type":"string"},"version":{"type":"string"}}},"processedEntities":{"type":"array","description":"Names of the entities that will be processed","items":{"type":"string"}}}},"CreateSubmissionResult":{"required":["status","description"],"type":"object","properties":{"description":{"type":"string","description":"Description of uploading Submission files"},"status":{"type":"string","description":"Result of uploading Submission files","enum":["PROCESSING","INVALID_SUBMISSION"]},"submissionId":{"type":"string","description":"ID of the Submission"}}},"DeleteSubmissionResult":{"required":["status","description"],"type":"object","properties":{"description":{"type":"string","description":"Description of closing the Submission"},"status":{"type":"string","description":"Result of closing the Submission","enum":["CLOSED"]},"submissionId":{"type":"string","description":"ID of the Submission"}}},"DeleteSubmissionEntityResult":{"required":["status","description"],"type":"object","properties":{"description":{"type":"string","description":"Description of deleting partially Submission data"},"status":{"type":"string","description":"Result of deleting Submission data","enum":["PROCESSING"]},"submissionId":{"type":"string","description":"ID of the Submission"}}},"GetSubmittedDataResult":{"type":"object","properties":{"pagination":{"$ref":"#/components/schemas/Pagination"},"records":{"type":"array","items":{"$ref":"#/components/schemas/SubmittedDataRecord"}}}},"Health":{"type":"object","properties":{"uptime":{"type":"string","description":"Number of seconds the current Node.js process has been running"},"message":{"type":"string","description":"Status of the service"},"timestamp":{"type":"string","description":"Current system's time in milliseconds since the Unix epoch"}}},"ListAllCategories":{"type":"array","items":{"$ref":"#/components/schemas/CategorySummary"}},"ListMigrationRecordsResult":{"type":"object","properties":{"pagination":{"$ref":"#/components/schemas/Pagination"},"records":{"type":"array","items":{"$ref":"#/components/schemas/MigrationChangeHistoryRecord"}}}},"ListMigrationsResult":{"type":"object","properties":{"pagination":{"$ref":"#/components/schemas/Pagination"},"records":{"type":"array","items":{"$ref":"#/components/schemas/MigrationResult"}}}},"MigrationChangeHistoryRecord":{"type":"object","properties":{"entityName":{"type":"string","description":"Name of the Entity"},"errors":{"type":"array","description":"List of validation errors related to the change if applicable","items":{"$ref":"#/components/schemas/ValidationError"}},"dataDiff":{"type":"object","description":"Captures the state of the data before the change as `old` and after the change as `new`"},"newIsValid":{"type":"boolean","description":"New data isValid value"},"oldIsValid":{"type":"boolean","description":"Old data isValid value"},"organization":{"type":"string","description":"Name of the Organization"},"systemId":{"type":"string","description":"The unique identifier of the record changed"},"createdAt":{"type":"string","description":"Date and time of creation"},"createdBy":{"type":"string","description":"User name who updated the submission"}}},"MigrationResult":{"type":"object","properties":{"id":{"type":"number","description":"ID of the Migration"},"category":{"type":"object","description":"Category this dictionary belongs in","properties":{"id":{"type":"number"},"name":{"type":"string"}}},"fromDictionary":{"type":"object","description":"Previous Dictionary used in this category","properties":{"name":{"type":"string"},"version":{"type":"string"}}},"toDictionary":{"type":"object","description":"New Dictionary used in this category","properties":{"name":{"type":"string"},"version":{"type":"string"}}},"submissionId":{"type":"number","description":"ID of the Submission used for the migration"},"invalidRecords":{"type":"number","description":"Number of invalid records during the migration"},"status":{"type":"string","description":"Status of the Migration","enum":["IN-PROGRESS","COMPLETED","FAILED"]},"retries":{"type":"number","description":"Number of times the migration has run. When a migration fails, it can be retried by registering again the same dictionary."},"createdAt":{"type":"string","description":"Date and time of creation"},"createdBy":{"type":"string","description":"User name who created the migration"},"updatedAt":{"type":"string","description":"Date and time of latest update"},"updatedBy":{"type":"string","description":"User name who last updated the migration"}}},"RegisterDictionaryResult":{"type":"object","properties":{"alias":{"type":"string","description":"Optional alias for the category. Not present if none was assigned."},"categoryId":{"type":"number","description":"ID of the Category"},"categoryName":{"type":"string","description":"Name of the Category"},"dictionary":{"type":"object","description":"Schema of the Dictionary"},"name":{"type":"string","description":"Name of the Dictionary"},"version":{"type":"string","description":"Version of the Dictionary"},"migrationId":{"type":"string","description":"ID of the Migration if applicable","allowEmptyValue":true}}},"SubmittedDataRecord":{"type":"object","properties":{"data":{"type":"object","description":"Content of the record in JSON format"},"entityName":{"type":"string"},"isValid":{"type":"boolean"},"organization":{"type":"string"},"systemId":{"type":"string"}}},"ValidationError":{"type":"object","required":["index","errorType","fieldName"],"properties":{"fieldName":{"type":"string","description":"The field name that the error is related to"},"info":{"type":"object","description":"Contains context information related to the error","properties":{"value":{"type":"array","description":"The faulty value","items":{"type":"string"}}}},"index":{"type":"number","format":"integer","description":"Index of the row for this error (starting from 0)"},"errorType":{"type":"string","description":"The type of error","enum":["INVALID_BY_RANGE","INVALID_BY_REGEX","INVALID_BY_SCRIPT","INVALID_ENUM_VALUE","INVALID_FIELD_VALUE_TYPE","MISSING_REQUIRED_FIELD","UNRECOGNIZED_FIELD"]},"message":{"type":"string","description":"Details of the error"}}}}},"tags":[{"name":"Audit","description":"Retrieves a list of changes made to Submitted Data records"},{"name":"Category","description":"Operations related to Categories management. Categories are used to organize and clasify Dictionaries"},{"name":"Data","description":"Retrieve Submitted Data using filters and pagination"},{"name":"Dictionary","description":"Dictionary registration. Uses Lectern as a Data Dictionary Schema Manager"},{"name":"Health","description":"Service status monitoring"},{"name":"Ping","description":"Test reachability"},{"name":"Submission","description":"Create, View, Edit and Commit a Submission. A Submission represents a collection of data that is staged for validation before finalization"},{"name":"Validator","description":"Operations related to validating records against existing data. This includes checking if a record exists based on category, organization, entity, and value"}]} \ No newline at end of file diff --git a/website/src/components/SwaggerAPIDoc/maestroAPI.json b/website/src/components/SwaggerAPIDoc/maestroAPI.json index f6a40df2..93647ab4 100644 --- a/website/src/components/SwaggerAPIDoc/maestroAPI.json +++ b/website/src/components/SwaggerAPIDoc/maestroAPI.json @@ -1,269 +1,120 @@ { - "openapi": "3.0.1", + "openapi": "3.0.0", + "info": { + "title": "@overture-stack/maestro-server", + "version": "5.0.0-alpha.1" + }, "paths": { - "/index/repository/{repositoryCode}/study/{studyId}/analysis/{analysisId}": { + "/index/repository/{repositoryCode}": { "post": { + "summary": "Indexes data for a specified repository.", + "description": "This operation initializes or updates the index with the provided data. The `repositoryCode` path parameter identifies the repository to be indexed.", "tags": [ "Indexing" ], - "summary": "Index Single Analysis", - "description": "Indexes single analysis on demand ", - "operationId": "indexAnalysis", "parameters": [ - { - "name": "analysisId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "studyId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, { "name": "repositoryCode", "in": "path", "required": true, "schema": { "type": "string" - } + }, + "description": "A unique code that identifies the repository where data will be indexed" } ], "responses": { - "404": { - "description": "Not Found", + "202": { + "description": "Accepted response indicating that the indexing operation has been queued for processing", "content": { - "*/*": { + "application/json": { "schema": { - "$ref": "#/components/schemas/ErrorDetails" + "$ref": "#/components/schemas/AcceptedResponse" } } } }, - "500": { - "description": "Internal Server Error", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } - }, - "201": { - "description": "Created", - "content": { - "*/*": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/IndexResult" - } - } - } - } - } - } - }, - "delete": { - "tags": [ - "management-controller" - ], - "operationId": "removeAnalysis", - "parameters": [ - { - "name": "analysisId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + "400": { + "$ref": "#/components/responses/BadRequest" }, - { - "name": "studyId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + "401": { + "$ref": "#/components/responses/UnauthorizedError" }, - { - "name": "repositoryCode", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - } - ], - "responses": { "404": { - "description": "Not Found", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "$ref": "#/components/responses/NotFound" }, "500": { - "description": "Internal Server Error", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "$ref": "#/components/responses/ServerError" }, - "200": { - "description": "OK", - "content": { - "*/*": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/IndexResult" - } - } - } - } + "503": { + "$ref": "#/components/responses/ServiceUnavailableError" } } } }, - "/index/repository/{repositoryCode}/study/{studyId}": { + "/index/repository/{repositoryCode}/organization/{organization}": { "post": { + "summary": "Indexes data for a specific organization within the given repository.", + "description": "This operation targets organizational data within the repository for indexing. The `repositoryCode` identifies the repository, and the `organization` path parameter specifies the organization whose data will be indexed.", "tags": [ - "management-controller" + "Indexing" ], - "operationId": "indexStudy", "parameters": [ { - "name": "studyId", + "name": "repositoryCode", "in": "path", "required": true, "schema": { "type": "string" - } + }, + "description": "A unique code that identifies the repository where data will be indexed" }, { - "name": "repositoryCode", + "name": "organization", "in": "path", "required": true, "schema": { "type": "string" - } + }, + "description": "The name of the organization within the repository for which data will be indexed" } ], "responses": { - "404": { - "description": "Not Found", + "202": { + "description": "Accepted response indicating that the indexing operation has been queued for processing", "content": { - "*/*": { + "application/json": { "schema": { - "$ref": "#/components/schemas/ErrorDetails" + "$ref": "#/components/schemas/AcceptedResponse" } } } }, - "500": { - "description": "Internal Server Error", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "400": { + "$ref": "#/components/responses/BadRequest" }, - "201": { - "description": "Created", - "content": { - "*/*": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/IndexResult" - } - } - } - } - } - } - } - }, - "/convert": { - "post": { - "tags": [ - "Conversion" - ], - "summary": "Convert Analyses to file centric documents", - "description": "Converts the passed array of analyses to a map of analysis Id -\u003E Array of files of that analysis", - "operationId": "convertAnalyses", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ConvertAnalysisCommand" - } - } + "401": { + "$ref": "#/components/responses/UnauthorizedError" }, - "required": true - }, - "responses": { "404": { - "description": "Not Found", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "$ref": "#/components/responses/NotFound" }, "500": { - "description": "Internal Server Error", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "$ref": "#/components/responses/ServerError" }, - "201": { - "description": "Created", - "content": { - "*/*": { - "schema": { - "type": "object", - "additionalProperties": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FileCentricDocument" - } - } - } - } - } + "503": { + "$ref": "#/components/responses/ServiceUnavailableError" } } } }, - "/index/repository/{repositoryCode}": { + "/index/repository/{repositoryCode}/organization/{organization}/id/{id}": { "post": { + "summary": "Indexes data for a specific record identified by its ID within an organization in the given repository.", + "description": "This operation allows fine-grained indexing at the record level. The `repositoryCode` identifies the repository, `organization` specifies the organization, and `id` refers to the unique identifier of the record to be indexed.", "tags": [ - "management-controller" + "Indexing" ], - "operationId": "indexRepository", "parameters": [ { "name": "repositoryCode", @@ -271,389 +122,145 @@ "required": true, "schema": { "type": "string" - } + }, + "description": "A unique code that identifies the repository where data will be indexed" + }, + { + "name": "organization", + "in": "path", + "required": true, + "schema": { + "type": "string" + }, + "description": "The name of the organization within the repository for which data will be indexed" + }, + { + "name": "id", + "in": "path", + "required": true, + "schema": { + "type": "string" + }, + "description": "The unique identifier of the record to be indexed within the specified organization." } ], "responses": { - "404": { - "description": "Not Found", + "202": { + "description": "Accepted response indicating that the indexing operation has been queued for processing", "content": { - "*/*": { + "application/json": { "schema": { - "$ref": "#/components/schemas/ErrorDetails" + "$ref": "#/components/schemas/AcceptedResponse" } } } }, + "400": { + "$ref": "#/components/responses/BadRequest" + }, + "401": { + "$ref": "#/components/responses/UnauthorizedError" + }, + "404": { + "$ref": "#/components/responses/NotFound" + }, "500": { - "description": "Internal Server Error", - "content": { - "*/*": { - "schema": { - "$ref": "#/components/schemas/ErrorDetails" - } - } - } + "$ref": "#/components/responses/ServerError" }, - "201": { - "description": "Created", - "content": { - "*/*": { - "schema": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/IndexResult" - } - } - } - } + "503": { + "$ref": "#/components/responses/ServiceUnavailableError" } } } } }, "components": { - "schemas": { - "ErrorDetails": { - "type": "object", - "properties": { - "timestamp": { - "type": "string", - "format": "date-time" - }, - "message": { - "type": "string" - }, - "details": { - "type": "string" - } - } - }, - "FailureData": { - "type": "object", - "properties": { - "failingIds": { - "type": "object", - "additionalProperties": { - "uniqueItems": true, - "type": "array", - "items": { - "type": "string" - } - } - } - } - }, - "IndexResult": { - "type": "object", - "properties": { - "indexName": { - "type": "string" - }, - "failureData": { - "$ref": "#/components/schemas/FailureData" - }, - "successful": { - "type": "boolean" - } - } - }, - "Analysis": { - "type": "object", - "properties": { - "analysisId": { - "type": "string" - }, - "analysisType": { - "$ref": "#/components/schemas/AnalysisTypeId" - }, - "analysisState": { - "type": "string" - }, - "updatedAt": { - "type": "string", - "format": "date-time" - }, - "songServerId": { - "type": "string" - }, - "publishedAt": { - "type": "string", - "format": "date-time" - }, - "firstPublishedAt": { - "type": "string", - "format": "date-time" - }, - "studyId": { - "type": "string" - }, - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - } - }, - "samples": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Sample" - } - }, - "experiment": { - "type": "object", - "additionalProperties": { - "type": "object" + "responses": { + "BadRequest": { + "description": "Error response indicating that the client's request is malformed or invalid", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" } } } }, - "AnalysisTypeId": { - "type": "object", - "properties": { - "name": { - "type": "string" - }, - "version": { - "type": "integer", - "format": "int32" - } - } - }, - "ConvertAnalysisCommand": { - "type": "object", - "properties": { - "analyses": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Analysis" + "NotFound": { + "description": "Requested resource could not be found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" } - }, - "repoCode": { - "type": "string" } } }, - "Donor": { - "type": "object", - "properties": { - "donorId": { - "type": "string" - }, - "submitterDonorId": { - "type": "string" - }, - "studyId": { - "type": "string" - }, - "gender": { - "type": "string" - }, - "info": { - "type": "object", - "additionalProperties": { - "type": "object" + "UnauthorizedError": { + "description": "Access token is missing or invalid", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" } } } }, - "File": { - "type": "object", - "properties": { - "objectId": { - "type": "string" - }, - "studyId": { - "type": "string" - }, - "analysisId": { - "type": "string" - }, - "fileName": { - "type": "string" - }, - "fileType": { - "type": "string" - }, - "fileMd5sum": { - "type": "string" - }, - "fileAccess": { - "type": "string" - }, - "dataType": { - "type": "string" - }, - "fileSize": { - "type": "integer", - "format": "int64" - }, - "info": { - "type": "object", - "additionalProperties": { - "type": "object" + "ServerError": { + "description": "Internal Server Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" } } } }, - "Sample": { - "type": "object", - "properties": { - "sampleId": { - "type": "string" - }, - "specimenId": { - "type": "string" - }, - "submitterSampleId": { - "type": "string" - }, - "matchedNormalSubmitterSampleId": { - "type": "string" - }, - "sampleType": { - "type": "string" - }, - "donor": { - "$ref": "#/components/schemas/Donor" - }, - "specimen": { - "$ref": "#/components/schemas/Specimen" - }, - "info": { - "type": "object", - "additionalProperties": { - "type": "object" + "ServiceUnavailableError": { + "description": "Unable to complete the request due to an issue with an external service.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" } } } - }, - "Specimen": { + } + }, + "schemas": { + "AcceptedResponse": { "type": "object", "properties": { - "specimenId": { - "type": "string" - }, - "donorId": { - "type": "string" - }, - "submitterSpecimenId": { - "type": "string" - }, - "tumourNormalDesignation": { - "type": "string" - }, - "specimenTissueSource": { - "type": "string" - }, - "specimenType": { - "type": "string" + "successful": { + "type": "boolean", + "default": true, + "description": "Indicates whether the indexing operation was successful or not" }, - "info": { - "type": "object", - "additionalProperties": { - "type": "object" - } + "indexName": { + "type": "string", + "description": "The name of the index where the data is stored." } } }, - "FileCentricAnalysis": { + "ErrorResponse": { "type": "object", "properties": { - "analysisId": { - "type": "string" - }, - "analysisType": { - "type": "string" - }, - "analysisVersion": { - "type": "integer", - "format": "int32" - }, - "analysisState": { - "type": "string" - }, - "updatedAt": { - "type": "string", - "format": "date-time" + "successful": { + "type": "boolean", + "default": false, + "description": "Indicates whether the indexing operation was successful or not" }, - "firstPublishedAt": { + "message": { "type": "string", - "format": "date-time" + "description": "A brief description of the error encountered" }, - "publishedAt": { + "details": { "type": "string", - "format": "date-time" - }, - "experiment": { - "type": "object", - "additionalProperties": { - "type": "object" - } - } - } - }, - "FileCentricDocument": { - "type": "object", - "properties": { - "objectId": { - "type": "string" - }, - "studyId": { - "type": "string" - }, - "dataType": { - "type": "string" - }, - "fileType": { - "type": "string" - }, - "fileAccess": { - "type": "string" - }, - "analysis": { - "$ref": "#/components/schemas/FileCentricAnalysis" - }, - "file": { - "$ref": "#/components/schemas/File" - }, - "repositories": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Repository" - } - }, - "donors": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Donor" - } - } - } - }, - "Repository": { - "type": "object", - "properties": { - "code": { - "type": "string" - }, - "organization": { - "type": "string" - }, - "name": { - "type": "string" - }, - "type": { - "type": "string" - }, - "country": { - "type": "string" - }, - "url": { - "type": "string" + "description": "Additional details about the error" } } } } - } + }, + "tags": [] } \ No newline at end of file diff --git a/website/src/components/SwaggerAPIDoc/scoreAPI.json b/website/src/components/SwaggerAPIDoc/scoreAPI.json index fd666ed6..a31d2ed1 100644 --- a/website/src/components/SwaggerAPIDoc/scoreAPI.json +++ b/website/src/components/SwaggerAPIDoc/scoreAPI.json @@ -1,868 +1 @@ -{ - "swagger": "2.0", - "basePath": "/", - "tags": [ - { - "name": "base-controller", - "description": "Base Controller" - }, - { - "name": "download-controller", - "description": "Download Controller" - }, - { - "name": "listing-controller", - "description": "Listing Controller" - }, - { - "name": "upload-controller", - "description": "Upload Controller" - } - ], - "paths": { - "/download/ping": { - "get": { - "tags": [ - "download-controller" - ], - "summary": "ping", - "operationId": "pingUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "User-Agent", - "in": "header", - "description": "User-Agent", - "required": true, - "type": "string", - "default": "unknown" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/download/{object-id}": { - "get": { - "tags": [ - "download-controller" - ], - "summary": "downloadPartialObject", - "operationId": "downloadPartialObjectUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "User-Agent", - "in": "header", - "description": "User-Agent", - "required": true, - "type": "string", - "default": "unknown" - }, - { - "name": "exclude-urls", - "in": "query", - "description": "exclude-urls", - "required": false, - "type": "boolean", - "default": false - }, - { - "name": "external", - "in": "query", - "description": "external", - "required": false, - "type": "boolean", - "default": false - }, - { - "name": "length", - "in": "query", - "description": "length", - "required": true, - "type": "integer", - "format": "int64" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - }, - { - "name": "offset", - "in": "query", - "description": "offset", - "required": true, - "type": "integer", - "format": "int64" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/ObjectSpecification" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/listing": { - "get": { - "tags": [ - "listing-controller" - ], - "summary": "list", - "operationId": "listUsingGET", - "produces": [ - "*/*" - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "$ref": "#/definitions/ObjectInfo" - } - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/profile": { - "get": { - "tags": [ - "base-controller" - ], - "summary": "getProfile", - "operationId": "getProfileUsingGET", - "produces": [ - "*/*" - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/upload/cancel": { - "post": { - "tags": [ - "upload-controller" - ], - "summary": "cancelAll", - "operationId": "cancelAllUsingPOST", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "responses": { - "200": { - "description": "OK" - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/upload/test/{object-id}": { - "get": { - "tags": [ - "upload-controller" - ], - "summary": "test", - "operationId": "testUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/upload/{object-id}": { - "get": { - "tags": [ - "upload-controller" - ], - "summary": "isObjectExist", - "operationId": "isObjectExistUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "boolean" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "post": { - "tags": [ - "upload-controller" - ], - "summary": "finalizeUpload", - "operationId": "finalizeUploadUsingPOST", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - }, - { - "name": "uploadId", - "in": "query", - "description": "uploadId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "delete": { - "tags": [ - "upload-controller" - ], - "summary": "cancelUpload", - "operationId": "cancelUploadUsingDELETE", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/upload/{object-id}/parts": { - "post": { - "tags": [ - "upload-controller" - ], - "summary": "finalizePartUpload", - "operationId": "finalizePartUploadUsingPOST", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "etag", - "in": "query", - "description": "etag", - "required": true, - "type": "string" - }, - { - "name": "md5", - "in": "query", - "description": "md5", - "required": true, - "type": "string" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - }, - { - "name": "partNumber", - "in": "query", - "description": "partNumber", - "required": true, - "type": "integer", - "format": "int32" - }, - { - "name": "uploadId", - "in": "query", - "description": "uploadId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "delete": { - "tags": [ - "upload-controller" - ], - "summary": "deletePart", - "operationId": "deletePartUsingDELETE", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "User-Agent", - "in": "header", - "description": "User-Agent", - "required": true, - "type": "string", - "default": "unknown" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - }, - { - "name": "partNumber", - "in": "query", - "description": "partNumber", - "required": true, - "type": "integer", - "format": "int32" - }, - { - "name": "uploadId", - "in": "query", - "description": "uploadId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/upload/{object-id}/recovery": { - "post": { - "tags": [ - "upload-controller" - ], - "summary": "tryRecover", - "operationId": "tryRecoverUsingPOST", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": true, - "type": "string" - }, - { - "name": "fileSize", - "in": "query", - "description": "fileSize", - "required": true, - "type": "integer", - "format": "int64" - }, - { - "name": "object-id", - "in": "path", - "description": "object-id", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/upload/{object-id}/status": { - "get": { - "tags": [ - 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"summary": "RegisterAnalysisType", - "description": "Registers an analysisType schema", - "operationId": "registerUsingPOST", - "consumes": [ - "application/json", - "application/json;charset=UTF-8" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "in": "body", - "name": "request", - "description": "request", - "required": true, - "schema": { - "$ref": "#/definitions/RegisterAnalysisTypeRequest" - } - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/AnalysisType" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/schemas/registration": { - "get": { - "tags": [ - "Schema" - ], - "summary": "GetRegistrationSchema", - "description": "Retrieves the meta-schema used to validate AnalysisType schemas during registration", - "operationId": "getAnalysisTypeRegistrationSchemaUsingGET", - "produces": [ - "*/*" - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/schemas/{name}": { - "get": { - "tags": [ - "Schema" - ], - "summary": "GetAnalysisTypeVersion", - "description": "Retrieves the latest version of a schema for an analysisType", - "operationId": "getAnalysisTypeVersionUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "name", - "in": "path", - "description": "The name of an analysisType", - "required": true, - "type": "string" - }, - { - "name": "unrenderedOnly", - "in": "query", - "description": "Only retrieve the unrendered schema that was initially registered", - "required": false, - "type": "boolean", - "default": false, - "allowEmptyValue": false, - "x-example": false - }, - { - "name": "version", - "in": "query", - "description": "Optionally, retrieve a specific version of the analysisType", - "required": false, - "type": "integer", - "format": "int32", - "allowEmptyValue": false - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/AnalysisType" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/all": { - "get": { - "tags": [ - "Study" - ], - "summary": "GetAllStudyIds", - "description": "Retrieves all studyIds", - "operationId": "findAllStudiesUsingGET", - "produces": [ - "*/*" - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}": { - "get": { - "tags": [ - "Study" - ], - "summary": "GetStudy", - "description": "Retrieves information for a study", - "operationId": "getStudyUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/Study" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/": { - "post": { - "tags": [ - "Study" - ], - "summary": "CreateStudy", - "description": "Creates a new study", - "operationId": "saveStudyUsingPOST", - "consumes": [ - "application/json", - "application/json;charset=UTF-8" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "in": "body", - "name": "study", - "description": "study", - "required": true, - "schema": { - "$ref": "#/definitions/Study" - } - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/GenericMessage" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/all": { - "get": { - "tags": [ - "Study" - ], - "summary": "GetEntireStudy", - "description": "Retrieves all donor, specimen and sample data for a study", - "operationId": "getEntireStudyUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/StudyWithDonors" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis": { - "get": { - "tags": [ - "Analysis" - ], - "summary": "GetAnalysesForStudy", - "description": "Retrieve all analysis objects for a studyId", - "operationId": "getAnalysisUsingGET_1", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "analysisStates", - "in": "query", - "description": "Non-empty comma separated list of analysis states to filter by", - "required": false, - "type": "string", - "default": "PUBLISHED", - "allowEmptyValue": false - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "$ref": "#/definitions/Analysis" - } - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/paginated": { - "get": { - "tags": [ - "Analysis" - ], - "summary": "GetAnalysesForStudy", - "description": "Retrieve paginated analysis objects for a studyId. analysisState is optional, default to PUBLISHED, offset is required, default to 0, limit is required, default to 100. Results are sorted by analysis id in ASC order.", - "operationId": "getAnalysisUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "analysisStates", - "in": "query", - "description": "Non-empty comma separated list of analysis states to filter by", - "required": false, - "type": "string", - "default": "PUBLISHED", - "allowEmptyValue": false - }, - { - "name": "limit", - "in": "query", - "description": "limit", - "required": false, - "type": "integer", - "default": 100, - "format": "int32" - }, - { - "name": "offset", - "in": "query", - "description": "offset", - "required": false, - "type": "integer", - "default": 0, - "format": "int32" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/GetAnalysisResponse" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/publish/{id}": { - "put": { - "tags": [ - "Analysis" - ], - "summary": "PublishAnalysis", - "description": "Publish an analysis. This checks to see if the files associated with the input analysisId exist in the storage server", - "operationId": "publishAnalysisUsingPUT", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "ignoreUndefinedMd5", - "in": "query", - "description": "Ignores files that have an undefined MD5 checksum when publishing", - "required": false, - "type": "boolean", - "default": false, - "allowEmptyValue": false, - "x-example": false - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/GenericMessage" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/search/id": { - "get": { - "tags": [ - "Analysis" - ], - "summary": "IdSearch", - "description": "Search for analysis objects by specifying regex patterns for the donorIds, sampleIds, specimenIds, or fileIds request parameters", - "operationId": "idSearchUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "donorId", - "in": "query", - "description": "donorId", - "required": false, - "type": "string" - }, - { - "name": "fileId", - "in": "query", - "description": "fileId", - "required": false, - "type": "string" - }, - { - "name": "sampleId", - "in": "query", - "description": "sampleId", - "required": false, - "type": "string" - }, - { - "name": "specimenId", - "in": "query", - "description": "specimenId", - "required": false, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - }, - { - "name": "submitterDonorId", - "in": "query", - "description": "submitterDonorId", - "required": false, - "type": "string" - }, - { - "name": "submitterSampleId", - "in": "query", - "description": "submitterSampleId", - "required": false, - "type": "string" - }, - { - "name": "submitterSpecimenId", - "in": "query", - "description": "submitterSpecimenId", - "required": false, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "$ref": "#/definitions/Analysis" - } - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "post": { - "tags": [ - "Analysis" - ], - "summary": "IdSearch", - "description": "Search for analysis objects by specifying an IdSearchRequest", - "operationId": "idSearchUsingPOST", - "consumes": [ - "application/json", - "application/json;charset=UTF-8" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "in": "body", - "name": "request", - "description": "request", - "required": true, - "schema": { - "$ref": "#/definitions/IdSearchRequest" - } - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "$ref": "#/definitions/Analysis" - } - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/suppress/{id}": { - "put": { - "tags": [ - "Analysis" - ], - "summary": "SuppressAnalysis", - "description": "Suppress an analysis. Used if a previously published analysis is no longer needed. Instead of removing the analysis, it is marked as \"suppressed\"", - "operationId": "suppressAnalysisUsingPUT", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/GenericMessage" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/unpublish/{id}": { - "put": { - "tags": [ - "Analysis" - ], - "summary": "UnpublishAnalysis", - "description": "Unpublish an analysis. Set the analysis status to unpublished", - "operationId": "unpublishAnalysisUsingPUT", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/GenericMessage" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/{analysisId}": { - "put": { - "tags": [ - "Analysis" - ], - "summary": "UpdateAnalysis", - "description": "Update dynamic-data for for an analysis", - "operationId": "updateAnalysisUsingPUT", - "consumes": [ - "application/json", - "application/json;charset=UTF-8" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "analysisId", - "in": "path", - "description": "analysisId", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - }, - { - "in": "body", - "name": "updateAnalysisRequest", - "description": "updateAnalysisRequest", - "required": true, - "schema": { - "$ref": "#/definitions/JsonNode" - } - } - ], - "responses": { - "200": { - "description": "OK" - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "patch": { - "tags": [ - "Analysis" - ], - "summary": "PatchUpdateAnalysis", - "description": "Partial Update dynamic-data for for an analysis", - "operationId": "patchUpdateAnalysisUsingPATCH", - "consumes": [ - "application/json", - "application/json;charset=UTF-8" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "analysisId", - "in": "path", - "description": "analysisId", - "required": true, - "type": "string" - }, - { - "in": "body", - "name": "patchUpdateAnalysisRequest", - "description": "patchUpdateAnalysisRequest", - "required": true, - "schema": { - "$ref": "#/definitions/JsonNode" - } - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK" - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/{id}": { - "get": { - "tags": [ - "Analysis" - ], - "summary": "ReadAnalysis", - "description": "Retrieve the analysis object for an analysisId", - "operationId": "readUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/Analysis" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/analysis/{id}/files": { - "get": { - "tags": [ - "Analysis" - ], - "summary": "ReadAnalysisFiles", - "description": "Retrieve the file objects for an analysisId", - "operationId": "getFilesByIdUsingGET", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "array", - "items": { - "$ref": "#/definitions/FileEntity" - } - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/donors/{ids}": { - "delete": { - "tags": [ - "Donor" - ], - "summary": "DeleteDonors", - "description": "Deletes donor data and all dependent specimens and samples for donorIds", - "operationId": "deleteUsingDELETE", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "ids", - "in": "path", - "description": "Comma separated list of donorIds", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/donors/{id}": { - "get": { - "tags": [ - "Donor" - ], - "summary": "ReadDonor", - "description": "Retrieves donor data for a donorId", - "operationId": "readUsingGET_1", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/Donor" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/files/{ids}": { - "delete": { - "tags": [ - "File" - ], - "summary": "DeleteFiles", - "description": "Deletes file data for fileIds", - "operationId": "deleteUsingDELETE_1", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "ids", - "in": "path", - "description": "Comma separated list of fileIds", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/files/{id}": { - "get": { - "tags": [ - "File" - ], - "summary": "ReadFile", - "description": "Retrieves file data for a fileId", - "operationId": "readUsingGET_2", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/FileEntity" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - }, - "put": { - "tags": [ - "File" - ], - "summary": "UpdateFile", - "description": "Updates file data for a fileId", - "operationId": "updateUsingPUT", - "consumes": [ - "application/json" - ], - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "in": "body", - "name": "fileUpdateRequest", - "description": "File data to update", - "required": true, - "schema": { - "$ref": "#/definitions/FileUpdateRequest" - } - }, - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/FileUpdateResponse" - } - }, - "201": { - "description": "Created" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/samples/{ids}": { - "delete": { - "tags": [ - "Sample" - ], - "summary": "DeleteSamples", - "description": "Deletes sample data for sampleIds", - "operationId": "deleteUsingDELETE_2", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - "name": "ids", - "in": "path", - "description": "Comma separated list of sampleIds", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "type": "string" - } - }, - "204": { - "description": "No Content" - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/samples/{id}": { - "get": { - "tags": [ - "Sample" - ], - "summary": "ReadSample", - "description": "Retrieves sample data for a sampleId", - "operationId": "readUsingGET_4", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "id", - "in": "path", - "description": "id", - "required": true, - "type": "string" - }, - { - "name": "studyId", - "in": "path", - "description": "studyId", - "required": true, - "type": "string" - } - ], - "responses": { - "200": { - "description": "OK", - "schema": { - "$ref": "#/definitions/Sample" - } - }, - "401": { - "description": "Unauthorized" - }, - "403": { - "description": "Forbidden" - }, - "404": { - "description": "Not Found" - } - }, - "deprecated": false - } - }, - "/studies/{studyId}/specimens/{ids}": { - "delete": { - "tags": [ - "Specimen" - ], - "summary": "DeleteSpecimens", - "description": "Deletes specimen data and all dependent samples for specimenIds", - "operationId": "deleteUsingDELETE_3", - "produces": [ - "*/*" - ], - "parameters": [ - { - "name": "Authorization", - "in": "header", - "description": "Authorization", - "required": false, - "type": "string" - }, - { - 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} - }, - "title": "AnalysisTypeId" - }, - "CompositeEntity": { - "type": "object", - "properties": { - "donor": { - "$ref": "#/definitions/Donor" - }, - "info": { - "$ref": "#/definitions/JsonNode" - }, - "matchedNormalSubmitterSampleId": { - "type": "string" - }, - "sampleId": { - "type": "string" - }, - "sampleType": { - "type": "string" - }, - "specimen": { - "$ref": "#/definitions/Specimen" - }, - "specimenId": { - "type": "string" - }, - "submitterSampleId": { - "type": "string" - } - }, - "title": "CompositeEntity" - }, - "Donor": { - "type": "object", - "properties": { - "donorId": { - "type": "string" - }, - "gender": { - "type": "string" - }, - "info": { - "$ref": "#/definitions/JsonNode" - }, - "studyId": { - "type": "string" - }, - "submitterDonorId": { - "type": "string" - } - }, - "title": "Donor" - }, - "DonorWithSpecimens": { - "type": "object", - "properties": { - "donorId": { - "type": "string" - }, - "gender": { - "type": "string" - }, - "info": { - "$ref": "#/definitions/JsonNode" - 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"type": "object", - "properties": { - "analysisId": { - "type": "string" - }, - "dataType": { - "type": "string" - }, - "fileAccess": { - "type": "string" - }, - "fileMd5sum": { - "type": "string" - }, - "fileName": { - "type": "string" - }, - "fileSize": { - "type": "integer", - "format": "int64" - }, - "fileType": { - "type": "string" - }, - "info": { - "$ref": "#/definitions/JsonNode" - }, - "objectId": { - "type": "string" - }, - "studyId": { - "type": "string" - } - }, - "title": "FileEntity" - }, - "FileUpdateRequest": { - "type": "object", - "properties": { - "dataType": { - "type": "string" - }, - "fileAccess": { - "type": "string" - }, - "fileMd5sum": { - "type": "string" - }, - "fileSize": { - "type": "integer", - "format": "int64" - }, - "info": { - "$ref": "#/definitions/JsonNode" - } - }, - "title": "FileUpdateRequest" - }, - "FileUpdateResponse": { - "type": "object", - "properties": { - "fileUpdateType": { - "type": "string", - "enum": [ - "NO_UPDATE", - "CONTENT_UPDATE", - 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Docusaurus's + * Infima also styles those same bare elements, and switches their colors for + * dark mode via CSS variables. Depending on stylesheet load order the two + * fight over identical specificity, which is what breaks contrast here (e.g. + * white-on-white version badges even in light mode, gray-on-navy body text in + * dark mode). Rather than override every one of swagger-ui's ~200 selectors, + * pin the embed to its own light card that doesn't participate in the site's + * dark mode, and re-assert the handful of properties Infima actually clobbers. + */ + +.swaggerCard { + color-scheme: light; + background: #ffffff; + border: 1px solid var(--ifm-toc-border-color); + border-radius: var(--ifm-global-radius); + padding: 1.5rem 1.5rem 0.5rem; + margin: 1.5rem 0 2rem; +} + +.swaggerCard :global(.swagger-ui) { + color: #3b4151; +} + +.swaggerCard :global(.swagger-ui h1), +.swaggerCard :global(.swagger-ui h2), +.swaggerCard :global(.swagger-ui h3), +.swaggerCard :global(.swagger-ui h4), +.swaggerCard :global(.swagger-ui h5), +.swaggerCard :global(.swagger-ui label), +.swaggerCard :global(.swagger-ui p), +.swaggerCard :global(.swagger-ui table), +.swaggerCard :global(.swagger-ui .opblock-tag), +.swaggerCard :global(.swagger-ui .opblock-tag-section h3), +.swaggerCard :global(.swagger-ui .opblock .opblock-summary-description), +.swaggerCard :global(.swagger-ui .opblock-description-wrapper), +.swaggerCard :global(.swagger-ui .opblock-external-docs-wrapper), +.swaggerCard :global(.swagger-ui .opblock-title_normal), +.swaggerCard :global(.swagger-ui .parameter__name), +.swaggerCard :global(.swagger-ui .parameter__type), +.swaggerCard :global(.swagger-ui .parameter__in), +.swaggerCard :global(.swagger-ui .response-col_status), +.swaggerCard :global(.swagger-ui .response-col_description), +.swaggerCard :global(.swagger-ui .renderedMarkdown p), +.swaggerCard :global(.swagger-ui .model-title), +.swaggerCard :global(.swagger-ui .model), +.swaggerCard :global(.swagger-ui .prop-name), +.swaggerCard :global(.swagger-ui .prop-type) { + color: #3b4151 !important; +} + +.swaggerCard :global(.swagger-ui .opblock-tag small) { + color: #6b6b6b !important; +} + +.swaggerCard :global(.swagger-ui pre), +.swaggerCard :global(.swagger-ui code) { + background: #f6f7f8 !important; + color: #3b4151 !important; +} + +/* The little version / OAS pills sit on a dark pill background (set on the + * parent .title small), not the code-block background applied above. */ +.swaggerCard :global(.swagger-ui .info .title small pre.version) { + background: transparent !important; + color: #ffffff !important; +} + +/* swagger-ui's own title + description duplicate the heading and prose we + * already author directly above every embed in the MDX + * (and for specs whose info.title is a raw package name, it reads worse than + * just omitting it). Keep the base URL line, drop the rest. */ +.swaggerCard :global(.swagger-ui .info hgroup.main .title), +.swaggerCard :global(.swagger-ui .info .description) { + display: none; +} + +.swaggerCard :global(.swagger-ui .info) { + margin: 0 0 1rem; +} + +.swaggerCard :global(.swagger-ui .scheme-container) { + background: transparent; + box-shadow: none; + padding: 0; +} + +.swaggerCard :global(.swagger-ui .wrapper) { + padding: 0; +} diff --git a/website/src/css/custom.css b/website/src/css/custom.css index 508a6b88..01ecfcc4 100644 --- a/website/src/css/custom.css +++ b/website/src/css/custom.css @@ -6,123 +6,201 @@ /* You can override the default Infima variables here. */ :root { - --ifm-color-primary: #9E005D; - --ifm-color-primary-hero: #71bde8; - --ifm-color-primary-dark: #03497e; - --ifm-color-primary-darker: #034577; - --ifm-color-primary-darkest: #023962; - --ifm-color-primary-light: #05599a; - --ifm-color-primary-lighter: #055da1; - --ifm-color-primary-lightest: #0669b6; - --ifm-code-font-size: 95%; - --ifm-font-color: #003055; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); - --ifm-color-primary-search: #fefefe; - --doc-sidebar-background: #f5f6f7; - --ifm-color-footer: #f0f1f3; - - - /* Top NavBar */ - --ifm-navbar-height: 64px; - --ifm-navbar-shadow: 0 1px 6px 0 rgba(0, 0, 0, 0.1), 0 1px 5px 0 rgba(0, 0, 0, 0.08); - --navbar-item-hover-light: rgba(0, 0, 0, 0.05); - --navbar-item-hover-dark: rgba(255, 255, 255, 0.1); - - /* Front Page category blocks */ - --category-title-color: #282A35; - --category-category-color: #f7f7f7; - --category-card-color: #fefefe; - --category-block-shadow: 2px 2px 6px #282a3525; - --category-block-funding: none; - --funding-block-color: #edf9fd; + --ifm-color-primary: #9e005d; + --ifm-color-primary-hero: #71bde8; + --ifm-color-primary-dark: #03497e; + --ifm-color-primary-darker: #034577; + --ifm-color-primary-darkest: #023962; + --ifm-color-primary-light: #05599a; + --ifm-color-primary-lighter: #055da1; + --ifm-color-primary-lightest: #0669b6; + --ifm-code-font-size: 95%; + --ifm-font-family-base: + "Lato", system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, + Helvetica, Arial, sans-serif; + --ifm-font-color: #003055; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); + --ifm-color-primary-search: #fefefe; + --doc-sidebar-background: #f5f6f7; + --ifm-color-footer: #f0f1f3; + + /* Top NavBar */ + --ifm-navbar-height: 64px; + --ifm-navbar-shadow: + 0 1px 6px 0 rgba(0, 0, 0, 0.1), 0 1px 5px 0 rgba(0, 0, 0, 0.08); + --navbar-item-hover-light: rgba(0, 0, 0, 0.05); + --navbar-item-hover-dark: rgba(255, 255, 255, 0.1); + + /* Front Page category blocks */ + --category-title-color: #282a35; + --category-category-color: #f7f7f7; + --category-card-color: #fefefe; + --category-block-shadow: 2px 2px 6px #282a3525; + --category-block-funding: none; + --funding-block-color: #edf9fd; + + /* Front page journey tags (Develop/Deploy/Use) — Develop reuses the brand + primary; Deploy and Use get their own hue so the shared guide index can + be scanned by journey at a glance. */ + --journey-develop-color: var(--ifm-color-primary); + --journey-deploy-color: #0b7285; + --journey-use-color: #a86b00; } /* For readability concerns, you should choose a lighter palette in dark mode. */ -[data-theme='dark'] { - --ifm-color-primary: #4BC6F0; - --ifm-color-primary-hero: #0767b1; - --ifm-color-primary-dark: #2a2d2f; - --ifm-color-primary-darker: #034577; - --ifm-color-primary-darkest: #023962; - --ifm-color-primary-light: #05599a; - --ifm-color-primary-lighter: #055da1; - --ifm-color-primary-lightest: #0669b6; - --ifm-background-color: #585858; - --ifm-font-color: #ffffff; - --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); - --ifm-color-primary-search: #2a2d2f; - --doc-sidebar-background: #0d0d0d; - --ifm-color-footer: #0d0d0d; - - /* Front Page category blocks */ - --category-title-color: #F2F5F8; - --category-category-color: #1B1B1D; - --category-card-color: #4e5055; - --category-block-shadow: 0px 0px 0px 2px #323845; - --category-block-shadow-funding: 0px 0px 0px 2px #323845; - --funding-block-color: #232324; +[data-theme="dark"] { + --ifm-color-primary: #4bc6f0; + --ifm-color-primary-hero: #0767b1; + --ifm-color-primary-dark: #2a2d2f; + --ifm-color-primary-darker: #034577; + --ifm-color-primary-darkest: #023962; + --ifm-color-primary-light: #05599a; + --ifm-color-primary-lighter: #055da1; + --ifm-color-primary-lightest: #0669b6; + --ifm-background-color: #585858; + --ifm-font-color: #ffffff; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); + --ifm-color-primary-search: #2a2d2f; + --doc-sidebar-background: #0d0d0d; + --ifm-color-footer: #0d0d0d; + + /* Front Page category blocks */ + --category-title-color: #f2f5f8; + --category-category-color: #1b1b1d; + --category-card-color: #4e5055; + --category-block-shadow: 0px 0px 0px 2px #323845; + --category-block-shadow-funding: 0px 0px 0px 2px #323845; + --funding-block-color: #232324; + + /* Front page journey tags (Develop/Deploy/Use) */ + --journey-develop-color: var(--ifm-color-primary); + --journey-deploy-color: #a78bfa; + --journey-use-color: #e2a03f; } /* Custom styles for Docusaurus sidebar */ :root { - --sidebar-item-height: 1.5rem; - --sidebar-border-width: 3px; + --sidebar-item-height: 1.5rem; + --sidebar-border-width: 3px; } .theme-doc-sidebar-menu { - padding: 0.5rem; + padding: 0.5rem; } /* Links styling */ .menu__link { - line-height: var(--sidebar-item-height); - border-radius: 0; - transition: background-color 200ms ease; - border-left: var(--sidebar-border-width) solid transparent; + font-size: 0.85rem; + line-height: var(--sidebar-item-height); + border-radius: 0; + transition: background-color 200ms ease; + border-left: var(--sidebar-border-width) solid transparent; } .menu__link--active { - border-left: var(--sidebar-border-width) solid; - border-left-color: var(--ifm-color-primary); + border-left: var(--sidebar-border-width) solid; + border-left-color: var(--ifm-color-primary); } /* Nested levels */ .menu__list .menu__list { - border-left: 1px solid var(--ifm-color-emphasis-200); + border-left: 1px solid var(--ifm-color-emphasis-200); } .navbar__items .navbar__item:hover { - background-color: var(--navbar-item-hover-light); - border-radius: 4px; + background-color: var(--navbar-item-hover-light); + border-radius: 4px; } -[data-theme='dark'] .navbar__items .navbar__item:hover { - background-color: var(--navbar-item-hover-dark); +[data-theme="dark"] .navbar__items .navbar__item:hover { + background-color: var(--navbar-item-hover-dark); } .tableOfContents_bqdL { - border-left: 1px solid var(--ifm-color-primary); - + border-left: 1px solid var(--ifm-color-primary); } .footer { - background-color: var(--ifm-color-footer); - border-top: 1px solid #d5d8dc; - color: var(--ifm-color-primary); - } + background-color: var(--ifm-color-footer); + border-top: 1px solid #d5d8dc; + color: var(--ifm-color-primary); +} -[data-theme='dark'] .footer { - background-color: var(--ifm-color-footer); - border-top: 1px solid #44484f; - color: var(--ifm-color-primary); - } +[data-theme="dark"] .footer { + background-color: var(--ifm-color-footer); + border-top: 1px solid #44484f; + color: var(--ifm-color-primary); +} .footer__title { - color: var(--ifm-color-primary); + color: var(--ifm-color-primary); } .footer__link-item { - color: var(--ifm-font-color); + color: var(--ifm-font-color); +} + +/* Build sidebar: components paired as "Overture name (functional name)" + (e.g. "Lectern (Dictionary Management)") can still wrap on narrow + viewports even at the site-wide sidebar font-size. Keep the expand caret + aligned to the top in that case instead of floating mid-block. */ +.sidebar-component-item > .menu__list-item-collapsible { + align-items: flex-start; +} + +.sidebar-component-item > .menu__list-item-collapsible .menu__caret { + margin-top: 0.15rem; +} + +/* Use sidebar: audience groups (Data Consumers, Data Submitters, Platform + Administrators) are non-collapsible categories with no link — used purely + as static section headings, not clickable nav items: no left border (the + active-page indicator reserved on regular links), no hover/focus state, + small/bold/primary-colored text so they read as section dividers. */ +.sidebar-section-heading { + margin-top: 1rem; +} + +.sidebar-section-heading:first-child { + margin-top: 0; +} + +/* Infima highlights the whole row div on hover (independent of the link's + own background) — neutralize that too so the heading is fully static. */ +.sidebar-section-heading > .menu__list-item-collapsible, +.sidebar-section-heading > .menu__list-item-collapsible:hover { + background: transparent; + cursor: default; +} + +/* Child items nest one level deeper by default (the standard indent, plus a + vertical rule, used to show hierarchy under a collapsible category). Since + the heading isn't a real category, cancel both so items align flush with + the label with no nesting line. */ +.sidebar-section-heading > .menu__list { + padding-left: 0; + border-left: none; +} + +.sidebar-section-heading > .menu__list-item-collapsible > .menu__link { + cursor: default; + border-left: none; + border-bottom: 1px solid var(--ifm-color-emphasis-200); + padding-bottom: 0.25rem; + font-size: 0.7rem; + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.06em; + color: var(--ifm-color-primary); + transition: none; +} + +.sidebar-section-heading > .menu__list-item-collapsible > .menu__link:hover, +.sidebar-section-heading > .menu__list-item-collapsible > .menu__link:focus, +.sidebar-section-heading > .menu__list-item-collapsible > .menu__link:active { + background: transparent; + color: var(--ifm-color-primary); + border-left: none; } .sidebar-coming-soon { @@ -148,7 +226,13 @@ opacity: 1; } -[data-theme='dark'] .sidebar-draft-badge { +[data-theme="dark"] .sidebar-draft-badge { background-color: #3d2e1a; color: #c9924a; } + +/* Team page avatar cards: tighten the gap the default h3 margin leaves + between the name and the subtitle underneath it. */ +.avatar__name { + margin-bottom: 0.25rem; +} diff --git a/website/src/pages/index.tsx b/website/src/pages/index.tsx index 3345764e..ad45c368 100644 --- a/website/src/pages/index.tsx +++ b/website/src/pages/index.tsx @@ -3,11 +3,10 @@ import clsx from 'clsx'; import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; import Layout from '@theme/Layout'; import Heading from '@theme/Heading'; -import SearchBar from '@theme/SearchBar'; // Import the SearchBar component +import SearchBar from '@theme/SearchBar'; import styles from './index.module.css'; import SiteMap from '../components/SiteMap'; -import Button from '../components/OvertureButton'; function HomepageHeader() { const {siteConfig} = useDocusaurusContext(); @@ -18,22 +17,8 @@ function HomepageHeader() { {siteConfig.title}

{siteConfig.tagline}

- {/* - */}
- +
@@ -45,11 +30,11 @@ export default function Home(): JSX.Element { return ( + description="Documentation for the Overture platform — deploy, build with, and use Overture's open-source data-management software.">
); -} \ No newline at end of file +} diff --git a/website/useSidebars.ts b/website/useSidebars.ts new file mode 100644 index 00000000..65638e73 --- /dev/null +++ b/website/useSidebars.ts @@ -0,0 +1,49 @@ +import type { SidebarsConfig } from "@docusaurus/plugin-content-docs"; + +// The Use journey serves three distinct audiences. Each group below is a +// non-collapsible "section heading" (collapsible: false, no link, styled as +// a plain label in custom.css via the sidebar-section-heading className) +// rather than a dropdown category, so the audience split is visible at a +// glance instead of hidden behind a toggle. +const sidebars: SidebarsConfig = { + useSidebar: [ + "index", + { + type: "category", + label: "Data Consumers", + collapsible: false, + className: "sidebar-section-heading", + items: ["conversational-data-discovery", "cli-downloads"], + }, + { + type: "category", + label: "Data Submitters", + collapsible: false, + className: "sidebar-section-heading", + items: ["cli-submissions"], + }, + { + type: "category", + label: "Platform Administrators", + collapsible: false, + className: "sidebar-section-heading", + items: [ + "administration/building-dictionaries", + "administration/building-song-schemas", + "administration/index-mappings", + "administration/customizing-the-data-portal", + // A tutorial with its own multi-step sequence stays a normal + // collapsible category, nested under Platform Administrators since + // it's an end-to-end walkthrough of the tasks above. + { + type: "category", + label: "Build a Search Portal", + link: { type: "doc", id: "workshop/prerequisites" }, + items: [{ type: "autogenerated", dirName: "03-workshop" }], + }, + ], + }, + ], +}; + +export default sidebars; diff --git a/website/workshop/00-Intro.md b/website/workshop/00-Intro.md deleted file mode 100644 index 135375bf..00000000 --- a/website/workshop/00-Intro.md +++ /dev/null @@ -1,167 +0,0 @@ ---- -id: prerequisites -title: Prerequisites -sidebar_position: 0 -description: Build a searchable, FAIR-compliant data discovery portal from tabular CSV data using Elasticsearch, Arranger, and Stage. ---- - -:::caution Please complete the prerequisites before arriving -Most importantly, download the Docker images in advance, the conference venue's Wi-Fi may be slow and unreliable. Looking forward to meeting you — **Mitchell Shiell, Ontario Institute for Cancer Research, [mshiell@oicr.on.ca](mailto:mshiell@oicr.on.ca)** -::: - -# IBC Workshop Prerequisites - -This workshop has been developed as part of the 19th Annual International Biocuration Conference, it will guide you through building a foundational data discovery portal for tabular CSV data using Elasticsearch, Arranger, and Stage. - -![Demo search and aggregation](./images/workshop-portal-preview.webp) - -:::info 👋 Say hello -If you're attending, feel free to [**drop a quick introduction**](https://github.com/overture-stack/docs/discussions/new?category=new-deployments&title=%5BIBC+Workshop%5D+Hello+from+%5BName%2C+Institution%5D&body=%2A%2AName+%26+affiliation%3A%2A%2A+%0A%0A%2A%2AType+of+data+I+work+with%3A%2A%2A+%0A%0A%2A%2AWhat+I%27m+hoping+to+get+out+of+the+session%3A%2A%2A+%0A%0A%2A%2AData+management+challenges+%28optional%29%3A%2A%2A+) before the day, this helps tailor the session to the room. Entirely optional. -::: - -**Objectives:** - -1. Deploy a functional data discovery portal using Elasticsearch, GraphQL, Arranger, and Stage -2. Configure search interfaces and indices tailored to tabular datasets -3. Gain familiarity with the tools needed to adapt this portal to your own data -4. Understand deployment options for making portals accessible on institutional networks and beyond - -## Prerequisites - -The following software should be installed and verified before the workshop: - -
-1. Git `git --version` returns a version number - -Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. - -
- -
-2. Docker Desktop (`28.0.0` or later) - -- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) -- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) - -Once installed, open Docker Desktop → Settings → Resources and set: - -- **CPUs:** 4+ cores (8 recommended) -- **Memory:** 8 GB minimum -- **Disk:** 10 GB+ available - -Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated - -
- -
-3. Docker images pre-downloaded Most time-consuming step, run these before the workshop - -Pull the required Docker images now to avoid slow downloads during the workshop: - -```bash -docker pull alpine/curl:8.8.0 -docker pull postgres:15-alpine -docker pull docker.elastic.co/elasticsearch/elasticsearch:7.17.27 -docker pull ghcr.io/overture-stack/arranger-server:4919f736 -docker pull ghcr.io/overture-stack/conductor:171d9ce -docker pull node:18-alpine -``` - -Verify all six downloaded: - -```bash -docker images | grep -E "alpine/curl|postgres|elasticsearch|arranger-server|conductor|node" -``` - -You should see all six images listed. - -
- -
-4. Repository cloned: `git clone -b IBCworkshop https://github.com/overture-stack/prelude.git` - -The `prelude` repository contains everything needed for this workshop: Docker Compose configuration, the Conductor wrapper script, and sample data. Clone it once before the workshop and you won't need internet access for the hands-on portion. - -```bash -git clone -b IBCworkshop https://github.com/overture-stack/prelude.git -``` - -
- -
-5. _(Windows only)_ WSL2 configured with Docker Desktop integration enabled - -1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) -2. Use Ubuntu or another Linux distribution within WSL2 -3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) -4. Run all workshop commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. - -
- -#### Optional Prerequisites - -These are not required but will make the workshop easier to follow: - -
-6. (Optional) Elasticvue: browser-based Elasticsearch GUI - -[Elasticvue](https://elasticvue.com/installation) is a browser-based Elasticsearch GUI useful for inspecting indices, browsing documents, and troubleshooting. It is not required but helpful for understanding what's happening inside Elasticsearch during the workshop. - -Install it as a browser extension or standalone app. - -
- -
-7. (Optional) PostgreSQL GUI client - -A PostgreSQL GUI client is useful for browsing the database during the workshop. It is not required but helpful if you want to inspect the Postgres data directly. - -| OS | Recommended client | -| ------- | ----------------------------------------- | -| macOS | [Postico](https://eggerapps.at/postico2/) | -| Windows | [pgAdmin](https://www.pgadmin.org/) | -| Linux | [pgAdmin](https://www.pgadmin.org/) | - -
- -
-8. (Optional) Bring your own data: CSV file - -If you have a tabular dataset you'd like to use during or after the workshop, bring it as a CSV file. During the workshop we will use demo data, but the final section covers adapting the portal to your own dataset. - -
- -## Schedule - -**Venue:** Pacific 2 - -| Time | Section | Description | -| --------- | ----------------------- | ------------------------------------------------------------------------- | -| 2:00–2:20 | Introduction & Overview | Workshop objectives, run the pre-built demo, and architecture walkthrough | -| 2:20–3:30 | Building Your Portal | Prepare data, generate configurations, wire up Docker, Launch & Load data | -| 3:30–3:40 | Break | Stretch break | -| 3:40–4:00 | Wrap-Up | Customize the portal, discuss next steps, and Q&A | - -## Support - -| | | -| ----------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | -| **During the workshop** | [You can use this slack link for additional support](https://join.slack.com/t/overture-bio/shared_invite/zt-21tdumtdh-9fP1TFeLepK4~Lc377rOYw) | -| **Before or after** | [community support channels](https://docs.overture.bio/community/support) or [contact@overture.bio](mailto:contact@overture.bio) | -| **Bug reports** | [GitHub Issues](https://github.com/overture-stack/prelude/issues) | - -**Facilitator:** Mitchell Shiell, Ontario Institute for Cancer Research, [mshiell@oicr.on.ca](mailto:mshiell@oicr.on.ca) - -## Verification Checklist - -Before the workshop, confirm: - -1. `git --version` returns a version number -2. `docker --version` returns 28.0.0 or later -3. `docker compose version` returns a version number -4. Docker Desktop is running with 4+ CPUs and 8 GB+ memory allocated -5. **All six Docker images are downloaded** (`docker images`) — _this is the most time-consuming step, do it before the day_ -6. The repository is cloned and you can `cd` into it -7. _(Windows only)_ WSL2 is configured and Docker integration is enabled - -> **Troubleshooting:** If you run into issues before the workshop, reach out via the [community support channels](https://docs.overture.bio/community/support) or email [mshiell@oicr.on.ca](mailto:mshiell@oicr.on.ca). diff --git a/website/workshopSidebars.ts b/website/workshopSidebars.ts deleted file mode 100644 index d0f8a429..00000000 --- a/website/workshopSidebars.ts +++ /dev/null @@ -1,19 +0,0 @@ -import type { SidebarsConfig } from "@docusaurus/plugin-content-docs"; - -const sidebars: SidebarsConfig = { - workshopSidebar: [ - "prerequisites", - "running-the-demo", - "architecture", - "data-preparation", - "generating-configurations", - "docker-configuration", - "loading-data", - "troubleshooting", - "portal-customization", - "next-steps", - "extension-task", - ], -}; - -export default sidebars; From a1c2194e33cd01fe7460bf7c9ddfceccc9ac7fc8 Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Fri, 24 Jul 2026 16:15:25 -0400 Subject: [PATCH 02/28] submodule update --- website/docs/deploy-docs/index.md | 2 +- website/docusaurus.config.ts | 2 +- website/tsconfig.json | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/deploy-docs/index.md b/website/docs/deploy-docs/index.md index f9e69424..85965f91 100644 --- a/website/docs/deploy-docs/index.md +++ b/website/docs/deploy-docs/index.md @@ -7,7 +7,7 @@ sidebar_position: 0 # Deploy Overture -**For platform teams standing up and operating an Overture instance.** +**For platform, DevOps, and operations teams standing up and operating an Overture instance.** This journey covers deploying the Overture stack and trying it locally with **Prelude** before committing to a full deployment — start locally, then scale diff --git a/website/docusaurus.config.ts b/website/docusaurus.config.ts index 841da64d..edce5453 100644 --- a/website/docusaurus.config.ts +++ b/website/docusaurus.config.ts @@ -4,7 +4,7 @@ import type * as Preset from "@docusaurus/preset-classic"; const config: Config = { title: "Overture Docs", - tagline: "Resources for Developers & Informaticians", + tagline: "Resources for Developers, Operators & Informaticians", favicon: "img/favicon.ico", // Set the production url of your site here diff --git a/website/tsconfig.json b/website/tsconfig.json index 314eab8a..71e30f1a 100644 --- a/website/tsconfig.json +++ b/website/tsconfig.json @@ -2,6 +2,6 @@ // This file is not used in compilation. It is here just for a nice editor experience. "extends": "@docusaurus/tsconfig", "compilerOptions": { - "baseUrl": "." + "ignoreDeprecations": "6.0" } } From b812ff2fd0e36952c219fae0248022bc1ed9be28 Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Fri, 24 Jul 2026 16:19:35 -0400 Subject: [PATCH 03/28] submodule update --- submodules/stage | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/submodules/stage b/submodules/stage index fa63b860..1de5ab8f 160000 --- a/submodules/stage +++ b/submodules/stage @@ -1 +1 @@ -Subproject commit fa63b86054c853374ae982c85fffc9f5c72f6924 +Subproject commit 1de5ab8f3bbc7ba9150a00727e567cc0b9590d0b From f66a63c4442a10eb54bced35cefdb3ed8bf874e6 Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Mon, 27 Jul 2026 15:21:41 -0400 Subject: [PATCH 04/28] base page updates + overall organization --- website/developSidebars.ts | 23 ++-- website/docs/deploy-docs/index.md | 18 ++- .../docs/develop-docs/08-api-reference.mdx | 108 ------------------ .../develop-docs/08-api-reference/01-song.mdx | 18 +++ .../08-api-reference/02-score.mdx | 17 +++ .../08-api-reference/03-maestro.mdx | 16 +++ .../08-api-reference/04-lyric.mdx | 19 +++ .../08-api-reference/05-lectern.mdx | 18 +++ .../08-api-reference/06-arranger.mdx | 14 +++ .../develop-docs/08-api-reference/index.mdx | 19 +++ website/docs/develop-docs/09-contributing.md | 47 +------- .../develop-docs/images/core-software.webp | Bin 1362066 -> 0 bytes website/docs/develop-docs/index.md | 87 +++----------- website/docs/use-docs/02-cli-downloads.md | 4 +- website/docs/use-docs/03-cli-submissions.md | 6 +- ...onaries.md => 01-building-dictionaries.md} | 0 ...schemas.md => 02-building-song-schemas.md} | 0 ...index-mappings.md => 04-index-mappings.md} | 0 ...overy.md => ai-assisted-data-discovery.md} | 26 ++--- website/docs/use-docs/index.md | 40 ------- website/docs/use-docs/index.mdx | 53 +++++++++ .../{03-workshop => workshop}/00-Intro.md | 0 .../01-Running-the-Demo.md | 0 .../02-Architecture.md | 0 .../03-Data-Preparation.md | 0 .../04-Generating-Configurations.md | 0 .../05-Docker-Configuration.md | 0 .../06-Loading-Data.md | 0 .../07-Troubleshooting.md | 0 .../08-Portal-Customization.md | 0 .../09-Next-Steps.md | 0 .../10-Extension-Task.md | 0 .../images/basicPortal.webp | Bin .../images/config-generator-page.webp | Bin .../conversational-data-discovery-mockup.webp | Bin .../images/csv-upload-area.webp | Bin .../images/demo-portal-cross-table.webp | Bin .../images/demo-search-and-aggregation.webm | Bin .../images/documentation.webp | Bin .../images/generated-output-panel.webp | Bin .../images/homepage.webp | Bin .../images/overture-platform-overview.webp | Bin .../images/workshop-architecture-diagram.webp | Bin .../images/workshop-portal-preview.webp | Bin website/useSidebars.ts | 16 ++- 45 files changed, 241 insertions(+), 308 deletions(-) delete mode 100644 website/docs/develop-docs/08-api-reference.mdx create mode 100644 website/docs/develop-docs/08-api-reference/01-song.mdx create mode 100644 website/docs/develop-docs/08-api-reference/02-score.mdx create mode 100644 website/docs/develop-docs/08-api-reference/03-maestro.mdx create mode 100644 website/docs/develop-docs/08-api-reference/04-lyric.mdx create mode 100644 website/docs/develop-docs/08-api-reference/05-lectern.mdx create mode 100644 website/docs/develop-docs/08-api-reference/06-arranger.mdx create mode 100644 website/docs/develop-docs/08-api-reference/index.mdx delete mode 100644 website/docs/develop-docs/images/core-software.webp rename website/docs/use-docs/administration/{00-building-dictionaries.md => 01-building-dictionaries.md} (100%) rename website/docs/use-docs/administration/{01-building-song-schemas.md => 02-building-song-schemas.md} (100%) rename website/docs/use-docs/administration/{02-index-mappings.md => 04-index-mappings.md} (100%) rename website/docs/use-docs/{01-conversational-data-discovery.md => ai-assisted-data-discovery.md} (74%) delete mode 100644 website/docs/use-docs/index.md create mode 100644 website/docs/use-docs/index.mdx rename website/docs/use-docs/{03-workshop => workshop}/00-Intro.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/01-Running-the-Demo.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/02-Architecture.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/03-Data-Preparation.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/04-Generating-Configurations.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/05-Docker-Configuration.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/06-Loading-Data.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/07-Troubleshooting.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/08-Portal-Customization.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/09-Next-Steps.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/10-Extension-Task.md (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/basicPortal.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/config-generator-page.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/conversational-data-discovery-mockup.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/csv-upload-area.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/demo-portal-cross-table.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/demo-search-and-aggregation.webm (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/documentation.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/generated-output-panel.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/homepage.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/overture-platform-overview.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/workshop-architecture-diagram.webp (100%) rename website/docs/use-docs/{03-workshop => workshop}/images/workshop-portal-preview.webp (100%) diff --git a/website/developSidebars.ts b/website/developSidebars.ts index 194cb829..1faf7288 100644 --- a/website/developSidebars.ts +++ b/website/developSidebars.ts @@ -8,18 +8,18 @@ const components: Array<{ dirName: string; id: string; label: string }> = [ { dirName: "01-Lectern", id: "Lectern", - label: "Lectern (Dictionary Management)", + label: "Lectern - Dictionary Management", }, - { dirName: "02-Lyric", id: "Lyric", label: "Lyric (Data Management)" }, - { dirName: "03-Song", id: "Song", label: "Song (File Management)" }, - { dirName: "04-Score", id: "Score", label: "Score (File Transfer)" }, - { dirName: "05-Maestro", id: "Maestro", label: "Maestro (Indexing)" }, - { dirName: "06-Arranger", id: "Arranger", label: "Arranger (Search)" }, - { dirName: "07-Stage", id: "Stage", label: "Stage (Portal UI)" }, + { dirName: "02-Lyric", id: "Lyric", label: "Lyric - Data Management" }, + { dirName: "03-Song", id: "Song", label: "Song - File Management" }, + { dirName: "04-Score", id: "Score", label: "Score - File Transfer" }, + { dirName: "05-Maestro", id: "Maestro", label: "Maestro - Indexing" }, + { dirName: "06-Arranger", id: "Arranger", label: "Arranger - Search" }, + { dirName: "07-Stage", id: "Stage", label: "Stage - Portal UI" }, ]; const sidebars: SidebarsConfig = { - developSidebar: [ + buildSidebar: [ "index", ...components.map(({ dirName, id, label }) => ({ type: "category" as const, @@ -31,7 +31,12 @@ const sidebars: SidebarsConfig = { link: { type: "doc" as const, id: `${id}/overview` }, items: [{ type: "autogenerated" as const, dirName }], })), - "api-reference", + { + type: "category", + label: "API Reference", + link: { type: "doc", id: "api-reference/index" }, + items: [{ type: "autogenerated", dirName: "08-api-reference" }], + }, "contributing", ], }; diff --git a/website/docs/deploy-docs/index.md b/website/docs/deploy-docs/index.md index 85965f91..c7492de6 100644 --- a/website/docs/deploy-docs/index.md +++ b/website/docs/deploy-docs/index.md @@ -5,11 +5,17 @@ sidebar_label: Deploy Overture sidebar_position: 0 --- -# Deploy Overture +# Deploying Overture -**For platform, DevOps, and operations teams standing up and operating an Overture instance.** +**For teams standing up and operating an Overture instance.** -This journey covers deploying the Overture stack and trying it locally with -**Prelude** before committing to a full deployment — start locally, then scale -out. Once your instance is running, see the [Use](/use) journey's -**Administrators** section for configuring the data model, index, and portal UI. +This guide walks through deploying the Overture stack yourself, step by step: authorization with Keycloak, data management and storage with Song and Score, then the search portal with Maestro, Arranger, and Stage. + +If you'd rather try things out locally first, the [**Use docs**](/use) guides each ship with their own locally deployable demo environment. + +:::info We're expanding this section +We're actively working on updating and expanding these docs with guidance on Kubernetes and Helm chart deployments, deployment best practices, and instructions for deploying additional services such as Lectern and Lyric. + +In the meantime, if you have questions about deployment, reach out through +our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference.mdx b/website/docs/develop-docs/08-api-reference.mdx deleted file mode 100644 index a92c450d..00000000 --- a/website/docs/develop-docs/08-api-reference.mdx +++ /dev/null @@ -1,108 +0,0 @@ -# API Reference - -Welcome to our API reference documentation. This page provides detailed information about our available APIs. -You can explore the endpoints, request parameters and response schemas directly from this page. - -The Overture Platform has six APIs: - -1. [**Song:**](/develop/api-reference#song-api) a RESTful (Swagger) API for file metadata stored in Song. -2. [**Score:**](/develop/api-reference#score-api) a RESTful (Swagger) API for communicating with the Score Server. -3. [**Maestro:**](/develop/api-reference#maestro-api) a RESTful (Swagger) API for managing Song data indexing operations. -4. [**Lyric:**](/develop/api-reference#lyric-api) a RESTful (Swagger) API for tabular data submission, validation, and querying. -5. [**Lectern:**](/develop/api-reference#lectern-api) a RESTful (Swagger) API for managing data dictionary schemas. -6. [**Arranger:**](#arranger-graphql-api) a GraphQL search API, with a set of read-only introspection REST endpoints. - -Song, Score, Maestro, Lyric, and Lectern are documented with Swagger below. Arranger's API is GraphQL rather than REST, so it is documented in the [Arranger component reference](#arranger-graphql-api). - -## RESTful APIs - -import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; - -All our available RESTful APIs use Swagger to help document endpoint usage and expected outcomes. Here are some tips for using the Swagger UI: - -1. **Expand Operations**: Click on an endpoint to expand its details. -2. **Read Descriptions**: Each endpoint has a description explaining its purpose and usage. -3. **Check Parameters**: Review the required and optional parameters for each endpoint. -4. **Examine Responses**: Look at the possible response codes and schemas to understand what to expect from each endpoint. - -### Song API - -The Song API allows you to manage and query file metadata in your system. - -#### Key Features - -- Manage study, analysis, and file-centric entity metadata -- Validate and submit analysis metadata with schema versioning and publication controls (published/unpublished/suppressed) -- Manage schemas used for validations -- Check the health of the Song-server - - - -### Score API - -The Score API provides endpoints that allow to to query the Score server and programmatically transfer files to and from object storage. - -#### Key Features - -- Manage file uploads and downloads with multipart support and recovery mechanisms -- Track and verify file integrity using MD5 checksums and progress monitoring -- Control object storage with flexible listing, partial content handling, and secure access controls - - - -### Maestro API - -The Maestro API provides you with endpoints for data indexing. - -#### Key Features - -- Index an entire repository, a specific organization within it, or a single record by ID -- Trigger indexing at the granularity you need, from full-repository re-indexing down to one record - - - -### Lyric API - -The Lyric API allows you to submit, validate, query, and manage tabular data against Lectern dictionary schemas. - -#### Key Features - -- Validate and submit tabular data files against Lectern dictionary schemas, with a staged submission workflow -- Manage committed data with full CRUD operations -- Query committed data, including SQON-based search -- Track a complete audit history of data changes -- Manage dictionary categories and register Lectern dictionaries for use - - - -### Lectern API - -The Lectern API allows you to manage and query data dictionary schemas. - -#### Key Features - -- List, create, and retrieve data dictionaries, and add or update the schemas within them -- Look up an individual schema or field definition within a dictionary -- Compute the difference between two dictionary versions -- Download a dictionary schema template - - - -

- -## Arranger GraphQL API - -Arranger is Overture's search API. Unlike the services above it is a **GraphQL** API rather than REST/Swagger: a client sends a [SQON](/develop/Arranger/usage/building-sqon-queries) filter with field selections to a single `/graphql` endpoint, and Arranger translates it into an Elasticsearch query. It also exposes read-only **introspection** REST endpoints for discovering a server's catalogues and fields. - -Arranger's API is documented in the Arranger component reference: - -- [**Query processing**](/develop/Arranger/usage/query-processing) — how a search request flows from SQON through GraphQL to Elasticsearch. -- [**Building SQON queries**](/develop/Arranger/usage/building-sqon-queries) and [**SQON in detail**](/develop/Arranger/usage/sqon-in-detail) — the filter language. -- [**Introspection API**](/develop/Arranger/usage/introspection) — read-only REST endpoints describing a server's catalogues, fields, types, and operators. -- [**AI & automation**](/develop/Arranger/usage/ai-and-automation) — the MCP server that wraps this API for AI-agent access. - -

- -:::info Need Help? -If you encounter any issues or have questions about our API, please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). -::: \ No newline at end of file diff --git a/website/docs/develop-docs/08-api-reference/01-song.mdx b/website/docs/develop-docs/08-api-reference/01-song.mdx new file mode 100644 index 00000000..b4ad1f76 --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/01-song.mdx @@ -0,0 +1,18 @@ +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +# Song API + +The Song API allows you to manage and query file metadata in your system. + +## Key Features + +- Manage study, analysis, and file-centric entity metadata +- Validate and submit analysis metadata with schema versioning and publication controls (published/unpublished/suppressed) +- Manage schemas used for validations +- Check the health of the Song-server + + + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/02-score.mdx b/website/docs/develop-docs/08-api-reference/02-score.mdx new file mode 100644 index 00000000..d3368c5f --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/02-score.mdx @@ -0,0 +1,17 @@ +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +# Score API + +The Score API provides endpoints that allow you to query the Score server and programmatically transfer files to and from object storage. + +## Key Features + +- Manage file uploads and downloads with multipart support and recovery mechanisms +- Track and verify file integrity using MD5 checksums and progress monitoring +- Control object storage with flexible listing, partial content handling, and secure access controls + + + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/03-maestro.mdx b/website/docs/develop-docs/08-api-reference/03-maestro.mdx new file mode 100644 index 00000000..6708a472 --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/03-maestro.mdx @@ -0,0 +1,16 @@ +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +# Maestro API + +The Maestro API provides you with endpoints for data indexing. + +## Key Features + +- Index an entire repository, a specific organization within it, or a single record by ID +- Trigger indexing at the granularity you need, from full-repository re-indexing down to one record + + + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/04-lyric.mdx b/website/docs/develop-docs/08-api-reference/04-lyric.mdx new file mode 100644 index 00000000..e5ed2067 --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/04-lyric.mdx @@ -0,0 +1,19 @@ +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +# Lyric API + +The Lyric API allows you to submit, validate, query, and manage tabular data against Lectern dictionary schemas. + +## Key Features + +- Validate and submit tabular data files against Lectern dictionary schemas, with a staged submission workflow +- Manage committed data with full CRUD operations +- Query committed data, including SQON-based search +- Track a complete audit history of data changes +- Manage dictionary categories and register Lectern dictionaries for use + + + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/05-lectern.mdx b/website/docs/develop-docs/08-api-reference/05-lectern.mdx new file mode 100644 index 00000000..c50d777e --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/05-lectern.mdx @@ -0,0 +1,18 @@ +import SwaggerAPIDoc from '/src/components/SwaggerAPIDoc'; + +# Lectern API + +The Lectern API allows you to manage and query data dictionary schemas. + +## Key Features + +- List, create, and retrieve data dictionaries, and add or update the schemas within them +- Look up an individual schema or field definition within a dictionary +- Compute the difference between two dictionary versions +- Download a dictionary schema template + + + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/06-arranger.mdx b/website/docs/develop-docs/08-api-reference/06-arranger.mdx new file mode 100644 index 00000000..b43de92b --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/06-arranger.mdx @@ -0,0 +1,14 @@ +# Arranger API + +Arranger is Overture's search API. Unlike the services above it is a **GraphQL** API rather than REST/Swagger: a client sends a [SQON](/develop/Arranger/reference/building-sqon-queries) filter with field selections to a single `/graphql` endpoint, and Arranger translates it into an Elasticsearch query. It also exposes read-only **introspection** REST endpoints for discovering a server's catalogues and fields. + +Arranger's API is documented in the Arranger component reference: + +- [**Query processing**](/develop/Arranger/reference/query-processing): how a search request flows from SQON through GraphQL to Elasticsearch. +- [**Building SQON queries**](/develop/Arranger/reference/building-sqon-queries) and [**SQON in detail**](/develop/Arranger/reference/sqon-in-detail): the filter language. +- [**Introspection API**](/develop/Arranger/reference/introspection): read-only REST endpoints describing a server's catalogues, fields, types, and operators. +- [**AI & automation**](/develop/Arranger/reference/ai-and-automation): the MCP server that wraps this API for AI-agent access. + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/08-api-reference/index.mdx b/website/docs/develop-docs/08-api-reference/index.mdx new file mode 100644 index 00000000..1ccff3bc --- /dev/null +++ b/website/docs/develop-docs/08-api-reference/index.mdx @@ -0,0 +1,19 @@ +--- +sidebar_label: Overview +sidebar_position: 0 +--- + +# API Reference + +The Overture Platform has six APIs, each documented on its own page. Song, Score, Maestro, Lyric, and Lectern are RESTful and documented with Swagger; Arranger's is GraphQL, so it's documented separately. + +- **[Song](/develop/api-reference/song):** file metadata stored in Song. +- **[Score](/develop/api-reference/score):** communicating with the Score Server. +- **[Maestro](/develop/api-reference/maestro):** managing Song data indexing operations. +- **[Lyric](/develop/api-reference/lyric):** tabular data submission, validation, and querying. +- **[Lectern](/develop/api-reference/lectern):** managing data dictionary schemas. +- **[Arranger](/develop/api-reference/arranger):** search, with a set of read-only introspection REST endpoints. + +:::info Need Help? +If you encounter any issues or have questions about our API, please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/develop-docs/09-contributing.md b/website/docs/develop-docs/09-contributing.md index 403dfdff..e772d53d 100644 --- a/website/docs/develop-docs/09-contributing.md +++ b/website/docs/develop-docs/09-contributing.md @@ -4,7 +4,7 @@ sidebar_label: Contribution # Contributing to Overture -We appreciate your interest in contributing to the Overture project. We are the Genome Informatics Software Engineering team from Ontario Institute for Cancer Research. At OICR we develop new software, databases and other necessary components to store, organize and compute over the large and complex datasets being generated by our cancer research programs. Embodying OICR's values of collaboration and community, we are firm believers in open-source and open-science. As such we strongly believe in the collective power of expertise and shared resources. +We appreciate your interest in contributing to the Overture project. We're the Genome Informatics Software Engineering team at the Ontario Institute for Cancer Research (OICR), where we build software, databases, and other tools to store, organize, and compute over the large, complex datasets generated by our cancer research programs. In line with OICR's values of collaboration and community, we're committed to open-source and open-science, believing strongly in the collective power of shared expertise and resources. ## Code of Conduct @@ -14,19 +14,18 @@ By participating in this project, you are expected to abide by our [Code of Cond **Getting Started:** Our primary platform for community support, feature requests, and general discussions is GitHub Discussions. This allows us to keep all conversations in one place and make them easily searchable for future reference. - **Community Support:** Our primary platform for community support, feature requests, and general discussions is [GitHub Discussions](https://github.com/overture-stack/docs/discussions). This allows us to keep all conversations in one place and make them easily searchable for future reference. - **Getting Help:** If you need assistance with Overture, please create a [new discussion in our support category](https://github.com/overture-stack/docs/discussions/categories/support). - Before creating a new discussion, please search existing discussions to see if your question has already been answered. - **Feature Requests & Proposals:** We love hearing your ideas for improving Overture! Before making a feature request, please check our [**feature roadmap**](https://github.com/orgs/overture-stack/projects/11/views/1) to see if your idea is already planned. - - If your idea isn't on the roadmap, feel free to [**submit a feature request**](https://github.com/overture-stack/docs/discussions/categories/ideas) by creating a new discussion in our Ideas category + - If your idea isn't on the roadmap, feel free to [**submit a feature request**](https://github.com/overture-stack/docs/discussions/categories/ideas) by creating a new discussion in our Ideas category - **Report a Potential Bug:** We use GitHub Issues primarily for tracking confirmed bugs and ticketing development tasks. If you come across a potential bug or issue, please first post it to our [**GitHub support discussion forum**](https://github.com/overture-stack/docs/discussions/categories/support). - This allows us to confirm the issue and gather more information if needed. If we determine that further development is required, we will create and tag you into a GitHub Issue from your discussion post. ## Our Development Process -We use GitHub issues and pull requests for communication related to code changes. +We use GitHub issues and pull requests for communication related to code changes. ### Branch Organization @@ -55,50 +54,14 @@ We welcome and encourage pull requests from the community. To submit a pull requ ### Best Practices 1. **Keep PRs as small as possible:** Focus on one feature or bug fix per pull request. Break large changes into smaller, more manageable pieces making it easier for reviewers to understand and approve your changes. - 2. **Use descriptive titles:** Start with a verb (e.g., "Add", "Fix", "Update", "Refactor"), briefly summarize the main purpose of the PR and include the issue number if applicable (e.g., "Fix user authentication bug (#123)"). - 3. **Describe how you tested it:** Explain the testing process you followed and mention any new automated tests you've added. - 4. **Provide a clear description:** Explain the purpose of your changes and list the main modifications you've made. Mention any potential side effects or areas that might need extra attention. - 5. **Link related issues:** Reference any related issues or pull requests. Use GitHub keywords to automatically link issues (e.g., "Closes #123", "Fixes #456"). 6. **Keep the PR's branch up-to-date:** Regularly rebase your branch on the latest main branch and resolve any merge conflicts promptly. - 7. **Respond to feedback:** Be open to suggestions and willing to make changes. Address all comments from reviewers. If you disagree with a suggestion, explain your reasoning politely. - 8. **Include documentation updates:** If your changes affect user-facing features, update or create and issue detailing the relevant changes need to the documentation. Where appropriate include inline comments for complex code sections. - -10. **Be patient:** Reviewers will likely be unable to respond immediately. However, feel free to follow up politely if you haven't received feedback after a reasonable time. - -### Using Draft Pull Requests - -Draft Pull Requests are an excellent way to document work in progress and facilitate early feedback. Use them to: - -- Organize your thoughts and process -- Share early work and ideas with the team -- Get feedback on implementation approaches before finalizing code -- Track progress on long-running features - -Guidelines for Draft Pull Requests: - -1. **Creation**: - - Open a pull request and select "Create draft pull request" - - Clearly mark the title with [WIP] or [DRAFT] prefix -2. **Description**: - - Outline the current state of the work - - List planned tasks or improvements - - Highlight areas where feedback is specifically needed -3. **Updates**: - - Regularly update the description or provide comments following commits with progress notes -- Use task lists (using `- [ ]` in Markdown) to track completion of sub-tasks -4. **Collaboration**: - - Encourage early feedback and discussion - - Use the pull request comments for design discussions -5. **Finalization**: - - Complete all planned work and address feedback - - Update tests and documentation - - Click "Ready for review" to move out of draft state +9. **Be patient:** Reviewers will likely be unable to respond immediately. 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![Platform](./images/platform.svg 'Overture Platform') - - - ![Song Dev](./images/songDev.svg 'Song Dev Environment') - - - ![Score Dev](./images/scoreDev.svg 'Score Dev - Environment') - - - ![Maestro Dev](./images/maestroDev.svg 'Maestro Dev - Environment') - - - ![Arranger Dev](./images/arrangerDev.svg 'Arranger Dev - Environment') - - - ![Stage Dev](./images/stageDev.svg 'Stage Dev - Environment') - - - -:::info -For newcomers to Overture, we recommend starting with our Platform Quickstart and Platform Guides. Combined resources provide a comprehensive overview and hands-on experience with the Overture ecosystem. To begin your journey, [visit the Deploy journey](/deploy). -::: - -#### Usage - -The Usage section provides detailed information on how to effectively use each service, including: - -- Interacting with the API -- Common use cases and best practices -- Troubleshooting and FAQs -- Integration tips with other Overture services -- Performance optimization suggestions +**For developers working with or extending Overture components.** + +These developer docs cover Overture component by component, alongside our [API reference](/develop/api-reference) and [standards for contributing](/develop/contributing). + +| Component | Description | +| --- | --- | +| **[Lectern](/develop/Lectern/overview)** | Manages data dictionaries, the schemas that define your data's structure, constraints, and relationships | +| **[Lyric](/develop/Lyric/overview)** | A model-agnostic service for submitting, validating, and managing tabular data against Lectern dictionaries | +| **[Song](/develop/Song/overview)** | A file catalog service that tracks files and manages their metadata | +| **[Score](/develop/Score/overview)** | A file transfer service for secure, large-file upload and download to and from object storage | +| **[Maestro](/develop/Maestro/overview)** | Indexes metadata from Song into Elasticsearch for search and exploration | +| **[Arranger](/develop/Arranger/overview)** | A model-agnostic search API and UI component library for building data portals | +| **[Stage](/develop/Stage/overview)** | A React-based UI framework for building the front-end of data portals | diff --git a/website/docs/use-docs/02-cli-downloads.md b/website/docs/use-docs/02-cli-downloads.md index 596b5978..3131e9d7 100644 --- a/website/docs/use-docs/02-cli-downloads.md +++ b/website/docs/use-docs/02-cli-downloads.md @@ -1,4 +1,4 @@ -# File Download (Score CLI) +# File Download **This guide is for** anyone seeking guidance on how to download data from an Overture platform. @@ -132,5 +132,5 @@ For more information on using the Score-Client see our [Score-Client command ref :::tip **Help us make our guides better** -If you can't find what you're looking for please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). +If you can't find what you're looking for please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). ::: diff --git a/website/docs/use-docs/03-cli-submissions.md b/website/docs/use-docs/03-cli-submissions.md index 4e0e224d..c51a3b90 100644 --- a/website/docs/use-docs/03-cli-submissions.md +++ b/website/docs/use-docs/03-cli-submissions.md @@ -1,4 +1,4 @@ -# File Submission (Song & Score CLI) +# File Submission **This guide is for** anyone seeking guidance on submitting data to an Overture platform. By the end of this guide you will have completed a full data submission workflow, including updating the submitted data to conform to the data model enforced by Song. @@ -57,7 +57,6 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI.
    Click here for a detailed breakdown - - `-d` runs the container in detached mode, meaning it runs in the background and does not receive input or display output in the terminal - `-it` combines the `-i` (interactive) and `-t` (allocate a pseudo-TTY) options, allowing you to interact with the container via the terminal @@ -95,7 +94,6 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI.
    Click here for a detailed breakdown - - `-d` runs the container in detached mode, meaning it runs in the background and does not receive input or display output in the terminal - `-it` combines the `-i` (interactive) and `-t` (allocate a pseudo-TTY) options, allowing you to interact with the container via the terminal @@ -1110,5 +1108,5 @@ You should now be able to find you uploaded data on the front-end portal found a :::tip **Help us make our guides better** -If you can't find what you're looking for please don't hesitate to reach out through our relevant [**community support channels**](https://docs.overture.bio/community/support). +If you can't find what you're looking for please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). ::: diff --git a/website/docs/use-docs/administration/00-building-dictionaries.md b/website/docs/use-docs/administration/01-building-dictionaries.md similarity index 100% rename from website/docs/use-docs/administration/00-building-dictionaries.md rename to website/docs/use-docs/administration/01-building-dictionaries.md diff --git a/website/docs/use-docs/administration/01-building-song-schemas.md b/website/docs/use-docs/administration/02-building-song-schemas.md similarity index 100% rename from website/docs/use-docs/administration/01-building-song-schemas.md rename to website/docs/use-docs/administration/02-building-song-schemas.md diff --git a/website/docs/use-docs/administration/02-index-mappings.md b/website/docs/use-docs/administration/04-index-mappings.md similarity index 100% rename from website/docs/use-docs/administration/02-index-mappings.md rename to website/docs/use-docs/administration/04-index-mappings.md diff --git a/website/docs/use-docs/01-conversational-data-discovery.md b/website/docs/use-docs/ai-assisted-data-discovery.md similarity index 74% rename from website/docs/use-docs/01-conversational-data-discovery.md rename to website/docs/use-docs/ai-assisted-data-discovery.md index 31ecca48..b189cc85 100644 --- a/website/docs/use-docs/01-conversational-data-discovery.md +++ b/website/docs/use-docs/ai-assisted-data-discovery.md @@ -2,35 +2,35 @@ sidebar_position: 0.5 --- -# Conversational Data Discovery +# AI-Assisted Data Discovery -Conversational data discovery lets a researcher ask a deployed Overture portal questions in **plain language** and get back the exact records that answer them — without knowing field names, filter syntax, or query structure. +AI-Assisted data discovery lets a researcher ask a deployed Overture portal questions in **plain language** and get back the exact records that answer them, without knowing field names, filter syntax, or query structure. > _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ The task is **natural language in, structured query out** — close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, and points to how to connect a client today. :::info Function first -This guide documents the *function* — ask a question, review the generated query, get results — and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). +This guide documents the _function_ — ask a question, review the generated query, get results — and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). ::: ## How a question becomes a query A generated query is three parts, each mapping to part of the sentence: -| Part | What it decides | From the example | -|---|---|---| -| **SQON filter** | *which* records to return | "breast cancer … RNA-seq … Canadian donors" | -| **GraphQL field selection** | *which fields* to return for each record | "show me … samples" | -| **GraphQL aggregation** *(optional)* | a summary, when the question implies one | "*how many* … per province" | +| Part | What it decides | From the example | +| ------------------------------------ | ---------------------------------------- | ------------------------------------------- | +| **SQON filter** | _which_ records to return | "breast cancer … RNA-seq … Canadian donors" | +| **GraphQL field selection** | _which fields_ to return for each record | "show me … samples" | +| **GraphQL aggregation** _(optional)_ | a summary, when the question implies one | "_how many_ … per province" | -[SQON](/develop/Arranger/usage/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/usage/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/usage/introspection) rather than guessing. +[SQON](/develop/Arranger/reference/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/reference/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/reference/introspection) rather than guessing. ## Governing principles The workflow is built around four principles, driven by the reality that this runs over sensitive biomedical data. -1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue *schema* (via introspection) to build a query, and a query returns only the fields it selects. +1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue _schema_ (via introspection) to build a query, and a query returns only the fields it selects. 2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. 3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue — a bounded, read-only surface — not as free-form code against production systems. 4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. @@ -38,7 +38,7 @@ The workflow is built around four principles, driven by the reality that this ru ## The researcher workflow 1. **Ask** a question in plain language against a chosen catalogue. -2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/usage/introspection) — the fields, their types, and the operators each accepts. +2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/reference/introspection) — the fields, their types, and the operators each accepts. 3. The model **builds the query** — a SQON filter plus a GraphQL field selection, and an aggregation if the question implies a summary. 4. The researcher **reviews and approves** the generated query (principle 2). 5. Arranger **executes** the approved query and returns the matching records (or aggregation buckets). @@ -52,7 +52,7 @@ To connect a client today: - **MCP Inspector** — a browser-based UI for browsing the server's resources and calling its tools; useful while setting things up. - **LM Studio** — a desktop app that bundles a local model runtime with a chat UI; add the Arranger MCP server as an MCP entry. -Any client that speaks MCP over Streamable HTTP works the same way. For the concrete server setup, the tools and resources it exposes, and per-client connection steps, see Arranger's [AI and automation](/develop/Arranger/usage/ai-and-automation) reference. +Any client that speaks MCP over Streamable HTTP works the same way. For the concrete server setup, the tools and resources it exposes, and per-client connection steps, see Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. ## Try it locally @@ -88,7 +88,7 @@ See the [prelude repository](https://github.com/overture-stack/prelude) for the ## What's coming -The discovery workflow is being extended (tracked in the Arranger docs' [AI and automation](/develop/Arranger/usage/ai-and-automation#whats-coming) reference): +The discovery workflow is being extended (tracked in the Arranger docs' [AI and automation](/develop/Arranger/reference/ai-and-automation#whats-coming) reference): - a dedicated researcher-facing **conversational host** (a chat front-end for non-technical users), - **query-execution** tools that run an approved SQON against a catalogue and return results, and diff --git a/website/docs/use-docs/index.md b/website/docs/use-docs/index.md deleted file mode 100644 index d80469b1..00000000 --- a/website/docs/use-docs/index.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: Use -slug: / -sidebar_label: Use Overture -sidebar_position: 0 ---- - -# Use Overture - -**For everyone working with an already-deployed Overture instance:** researchers -consuming and submitting data, and the administrators configuring it for them. - -## Data Consumers - -**These guides are for** researchers and analysts retrieving and exploring data from a deployed Overture portal. - -- **[File Download (Score CLI)](/use/cli-downloads):** retrieving data via the command line -- **[Conversational Data Discovery](/use/conversational-data-discovery):** asking a deployed portal questions in plain language - -## Data Submitters - -**These guides are for** anyone submitting data to an Overture platform. - -- **[File Submission (Song & Score CLI)](/use/cli-submissions):** submitting data via Song & Score's command line clients - -## Platform Administrators - -**These guides are for** informaticians and platform administrators configuring an already-running Overture instance to fit their data. - -**You will need** a running Overture instance — see the [Deploy](/deploy) journey if you haven't stood one up yet. - -- **[Building Dictionaries](/use/administration/building-dictionaries):** define the data dictionary that validates submissions and drives indexing -- **[Building Song Schemas](/use/administration/building-song-schemas):** define custom Song metadata schemas to validate submissions against your data requirements -- **[Index Mappings](/use/administration/index-mappings):** understand what index mappings are and how to configure them -- **[Customizing the Data Portal](/use/administration/customizing-the-data-portal):** customize how data is displayed in your front-end facets and table components -- **[Build a Search Portal](/use/workshop/prerequisites):** a hands-on, end-to-end tutorial covering all of the above - -:::tip Help us make our guides better -If you can't find what you're looking for please don't hesitate to reach out through our relevant [community support channels](https://docs.overture.bio/community/support). -::: diff --git a/website/docs/use-docs/index.mdx b/website/docs/use-docs/index.mdx new file mode 100644 index 00000000..43ae6401 --- /dev/null +++ b/website/docs/use-docs/index.mdx @@ -0,0 +1,53 @@ +--- +title: Use +slug: / +sidebar_label: Use Overture +sidebar_position: 0 +--- + +# Using Overture + +Each guide and tutorial below pairs with a locally deployable Overture demo environment. Feel free to use these pages purely as reference, the demos are optional. + +### Prerequisites + +Most demo environments use Docker Compose with similar setups. Before starting you can install and verify the following: + +
    +0.Windows onlyWSL2 Setup + +Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +
    +1. Git `git --version` returns a version number + +Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. + +
    + +
    +2. Docker Desktop (`28.0.0` or later) + +- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) +- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) + +Once installed, open Docker Desktop → Settings → Resources and set: + +- **CPUs:** 4+ cores (8 recommended) +- **Memory:** 8 GB minimum +- **Disk:** 10 GB+ available + +Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated + +
    + +:::tip Help us make our guides better +If you can't find what you're looking for please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/use-docs/03-workshop/00-Intro.md b/website/docs/use-docs/workshop/00-Intro.md similarity index 100% rename from website/docs/use-docs/03-workshop/00-Intro.md rename to website/docs/use-docs/workshop/00-Intro.md diff --git a/website/docs/use-docs/03-workshop/01-Running-the-Demo.md b/website/docs/use-docs/workshop/01-Running-the-Demo.md similarity index 100% rename from website/docs/use-docs/03-workshop/01-Running-the-Demo.md rename to website/docs/use-docs/workshop/01-Running-the-Demo.md diff --git a/website/docs/use-docs/03-workshop/02-Architecture.md b/website/docs/use-docs/workshop/02-Architecture.md similarity index 100% rename from website/docs/use-docs/03-workshop/02-Architecture.md 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website/docs/use-docs/workshop/images/workshop-architecture-diagram.webp diff --git a/website/docs/use-docs/03-workshop/images/workshop-portal-preview.webp b/website/docs/use-docs/workshop/images/workshop-portal-preview.webp similarity index 100% rename from website/docs/use-docs/03-workshop/images/workshop-portal-preview.webp rename to website/docs/use-docs/workshop/images/workshop-portal-preview.webp diff --git a/website/useSidebars.ts b/website/useSidebars.ts index 65638e73..005e878b 100644 --- a/website/useSidebars.ts +++ b/website/useSidebars.ts @@ -13,7 +13,7 @@ const sidebars: SidebarsConfig = { label: "Data Consumers", collapsible: false, className: "sidebar-section-heading", - items: ["conversational-data-discovery", "cli-downloads"], + items: ["ai-assisted-data-discovery", "cli-downloads"], }, { type: "category", @@ -28,18 +28,16 @@ const sidebars: SidebarsConfig = { collapsible: false, className: "sidebar-section-heading", items: [ - "administration/building-dictionaries", - "administration/building-song-schemas", - "administration/index-mappings", - "administration/customizing-the-data-portal", - // A tutorial with its own multi-step sequence stays a normal - // collapsible category, nested under Platform Administrators since - // it's an end-to-end walkthrough of the tasks above. { type: "category", label: "Build a Search Portal", link: { type: "doc", id: "workshop/prerequisites" }, - items: [{ type: "autogenerated", dirName: "03-workshop" }], + items: [{ type: "autogenerated", dirName: "workshop" }], + }, + { + type: "category", + label: "Configuration Guides", + items: [{ type: "autogenerated", dirName: "administration" }], }, ], }, From 4c32ec4f1101c222035685d6fa47694dbbc967fc Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Mon, 27 Jul 2026 15:25:45 -0400 Subject: [PATCH 05/28] submodule update --- submodules/arranger | 2 +- submodules/lectern | 2 +- submodules/lyric | 2 +- submodules/maestro | 2 +- submodules/score | 2 +- submodules/song | 2 +- submodules/stage | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/submodules/arranger b/submodules/arranger index bc15e4c8..2840ac4b 160000 --- a/submodules/arranger +++ b/submodules/arranger @@ -1 +1 @@ -Subproject commit bc15e4c8c262858bc0fc0504eba6817a67244939 +Subproject commit 2840ac4b4f7594158c8b6159cc8aac1107605b4e diff --git a/submodules/lectern b/submodules/lectern index 2931e38d..8d9182ff 160000 --- a/submodules/lectern +++ b/submodules/lectern @@ -1 +1 @@ -Subproject commit 2931e38df0ecebc7e5fe3df27b4e677ba282427a +Subproject commit 8d9182ff86c69c7b656277bde12dcac3b0b5fa09 diff --git a/submodules/lyric b/submodules/lyric index 4cce803f..a6bb4e07 160000 --- a/submodules/lyric +++ b/submodules/lyric @@ -1 +1 @@ -Subproject commit 4cce803ffca3d90ba957daf7cf200a80f2aeb740 +Subproject commit a6bb4e07a46be9f4a07286c73b3355a5bbbf9319 diff --git a/submodules/maestro b/submodules/maestro index bc10c2d1..d8318787 160000 --- a/submodules/maestro +++ b/submodules/maestro @@ -1 +1 @@ -Subproject commit bc10c2d1c21a19e6966b225748ae22fcd37a46c7 +Subproject commit d83187878c7df7932e549cf7cd38241b150377d2 diff --git a/submodules/score b/submodules/score index 26ecc754..174ed132 160000 --- a/submodules/score +++ b/submodules/score @@ -1 +1 @@ -Subproject commit 26ecc754fe7fbe71e7d2acd31b2ec066c5be3f49 +Subproject commit 174ed132fad27e04e70c6ac36730de32f56bafd2 diff --git a/submodules/song b/submodules/song index 788d333a..2de5c0d3 160000 --- a/submodules/song +++ b/submodules/song @@ -1 +1 @@ -Subproject commit 788d333abcefb7729819efcdd935a0c890f8c864 +Subproject commit 2de5c0d3a1dbcceed3d3a6748f71b43113ce9214 diff --git a/submodules/stage b/submodules/stage index 1de5ab8f..20720337 160000 --- a/submodules/stage +++ b/submodules/stage @@ -1 +1 @@ -Subproject commit 1de5ab8f3bbc7ba9150a00727e567cc0b9590d0b +Subproject commit 20720337e0f28fc4dd51c17c4590adbff578d343 From cdccf04183aba8cb8a36cf04abdbbb9cf4738668 Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Mon, 27 Jul 2026 15:43:07 -0400 Subject: [PATCH 06/28] punctuation update --- website/docs/deploy-docs/01-prelude.md | 4 ++-- .../01-building-dictionaries.md | 10 +++++----- .../use-docs/ai-assisted-data-discovery.md | 20 +++++++++---------- website/docs/use-docs/workshop/00-Intro.md | 4 ++-- .../docs/use-docs/workshop/02-Architecture.md | 2 +- .../workshop/05-Docker-Configuration.md | 6 +++--- .../docs/use-docs/workshop/09-Next-Steps.md | 2 +- .../use-docs/workshop/10-Extension-Task.md | 2 +- website/src/pages/index.tsx | 2 +- 9 files changed, 26 insertions(+), 26 deletions(-) diff --git a/website/docs/deploy-docs/01-prelude.md b/website/docs/deploy-docs/01-prelude.md index b864750a..d60ce9a1 100644 --- a/website/docs/deploy-docs/01-prelude.md +++ b/website/docs/deploy-docs/01-prelude.md @@ -10,13 +10,13 @@ unlisted: true - Minimize technical overhead - Build a foundation for production deployment -Prelude is developed in the open — see the [**overture-stack/prelude**](https://github.com/overture-stack/prelude) repository for the source, the latest demos, and full setup details. +Prelude is developed in the open; see the [**overture-stack/prelude**](https://github.com/overture-stack/prelude) repository for the source, the latest demos, and full setup details. :::important Prelude is **not intended for production environments**. It serves as a preparatory tool to ensure successful production deployments. We will be actively improving resources to support teams transitioning from Prelude to production. ::: -We welcome feedback and suggestions—please share them via our [ideas forum](https://github.com/overture-stack/docs/discussions/categories/ideas). +We welcome feedback and suggestions; please share them via our [ideas forum](https://github.com/overture-stack/docs/discussions/categories/ideas). ## Development Phases diff --git a/website/docs/use-docs/administration/01-building-dictionaries.md b/website/docs/use-docs/administration/01-building-dictionaries.md index 89c1c167..9c16c194 100644 --- a/website/docs/use-docs/administration/01-building-dictionaries.md +++ b/website/docs/use-docs/administration/01-building-dictionaries.md @@ -4,7 +4,7 @@ Before any record is submitted to your platform, someone has to decide what fiel ## Dictionary Structure -A Lectern dictionary is a JSON document made up of a name, a version, and one or more **schemas** — each schema modeling a single data entity (for example, `donor` or `specimen`). Within a schema, each **field** specifies a name, a value type (`string`, `integer`, `number`, or `boolean`), and any restrictions on the values it will accept: +A Lectern dictionary is a JSON document made up of a name, a version, and one or more **schemas**, each schema modeling a single data entity (for example, `donor` or `specimen`). Within a schema, each **field** specifies a name, a value type (`string`, `integer`, `number`, or `boolean`), and any restrictions on the values it will accept: ```json { @@ -34,19 +34,19 @@ A Lectern dictionary is a JSON document made up of a name, a version, and one or } ``` -Restrictions (`required`, `codeList`, `regex`, `range`, and more) are where the curation work lives — they turn naming conventions and value ranges into enforced constraints, rejected at submission time rather than discovered after the fact. Schemas can also reference each other through shared identifier fields (a `specimen` schema referencing its donor's `donor_id`), expressing hierarchy without flattening everything into one table. +Restrictions (`required`, `codeList`, `regex`, `range`, and more) are where the curation work lives; they turn naming conventions and value ranges into enforced constraints, rejected at submission time rather than discovered after the fact. Schemas can also reference each other through shared identifier fields (a `specimen` schema referencing its donor's `donor_id`), expressing hierarchy without flattening everything into one table. ## Where a Dictionary Fits Once published to a running Lectern server, a dictionary drives the rest of the pipeline: -- **Lyric** validates incoming submissions against it — every restriction becomes an automated, field-level check +- **Lyric** validates incoming submissions against it; every restriction becomes an automated, field-level check - **Maestro** uses the schema to inform how validated data is indexed into Elasticsearch, carrying typed fields, controlled vocabularies, and relationships through to the search layer ## Try It: Dictionary Playground -If you have a running instance, its portal includes a **Dictionary Playground** at `/dictionary/playground` — a live editor where you can write a schema and see it rendered as an interactive table in real time, no server required. +If you have a running instance, its portal includes a **Dictionary Playground** at `/dictionary/playground`, a live editor where you can write a schema and see it rendered as an interactive table in real time, no server required. :::tip -For the full schema reference — every restriction type, schema-level `uniqueKey`/`foreignKey` relationships, and versioning — see the [Lectern dictionary reference](/develop/Lectern/dictionaryReference). +For the full schema reference (every restriction type, schema-level `uniqueKey`/`foreignKey` relationships, and versioning), see the [Lectern dictionary reference](/develop/Lectern/dictionaryReference). ::: diff --git a/website/docs/use-docs/ai-assisted-data-discovery.md b/website/docs/use-docs/ai-assisted-data-discovery.md index b189cc85..b193388d 100644 --- a/website/docs/use-docs/ai-assisted-data-discovery.md +++ b/website/docs/use-docs/ai-assisted-data-discovery.md @@ -8,10 +8,10 @@ AI-Assisted data discovery lets a researcher ask a deployed Overture portal ques > _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ -The task is **natural language in, structured query out** — close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, and points to how to connect a client today. +The task is **natural language in, structured query out**, close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, and points to how to connect a client today. :::info Function first -This guide documents the _function_ — ask a question, review the generated query, get results — and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). +This guide documents the _function_ (ask a question, review the generated query, get results) and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). ::: ## How a question becomes a query @@ -32,31 +32,31 @@ The workflow is built around four principles, driven by the reality that this ru 1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue _schema_ (via introspection) to build a query, and a query returns only the fields it selects. 2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. -3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue — a bounded, read-only surface — not as free-form code against production systems. +3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue (a bounded, read-only surface), not as free-form code against production systems. 4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. ## The researcher workflow 1. **Ask** a question in plain language against a chosen catalogue. -2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/reference/introspection) — the fields, their types, and the operators each accepts. -3. The model **builds the query** — a SQON filter plus a GraphQL field selection, and an aggregation if the question implies a summary. +2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/reference/introspection): the fields, their types, and the operators each accepts. +3. The model **builds the query**: a SQON filter plus a GraphQL field selection, and an aggregation if the question implies a summary. 4. The researcher **reviews and approves** the generated query (principle 2). 5. Arranger **executes** the approved query and returns the matching records (or aggregation buckets). ## Connecting a client -Arranger ships an **MCP server** that exposes its discovery and query tools over the [Model Context Protocol](https://modelcontextprotocol.io/) — so any MCP-compatible client can drive the workflow above without Arranger-specific integration code. It provides tools to list catalogues, fetch the SQON schema, and retrieve a catalogue's fields, plus the same data as readable MCP resources. +Arranger ships an **MCP server** that exposes its discovery and query tools over the [Model Context Protocol](https://modelcontextprotocol.io/), so any MCP-compatible client can drive the workflow above without Arranger-specific integration code. It provides tools to list catalogues, fetch the SQON schema, and retrieve a catalogue's fields, plus the same data as readable MCP resources. To connect a client today: -- **MCP Inspector** — a browser-based UI for browsing the server's resources and calling its tools; useful while setting things up. -- **LM Studio** — a desktop app that bundles a local model runtime with a chat UI; add the Arranger MCP server as an MCP entry. +- **MCP Inspector**: a browser-based UI for browsing the server's resources and calling its tools; useful while setting things up. +- **LM Studio**: a desktop app that bundles a local model runtime with a chat UI; add the Arranger MCP server as an MCP entry. Any client that speaks MCP over Streamable HTTP works the same way. For the concrete server setup, the tools and resources it exposes, and per-client connection steps, see Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. ## Try it locally -The quickest way to see this end to end is the Conversational Data Discovery demo — a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data (gene correlation, mutation, expression, and protein catalogues). +The quickest way to see this end to end is the AI-Assisted Data Discovery demo, a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data (gene correlation, mutation, expression, and protein catalogues). 1. Clone and start the demo: @@ -68,7 +68,7 @@ The quickest way to see this end to end is the Conversational Data Discovery dem This runs system checks, starts the stack via Docker Compose, and loads the sample catalogues. The MCP server comes up at `http://localhost:3100/mcp`. -2. Connect an MCP host — LM Studio, for example — by adding the server to its MCP config: +2. Connect an MCP host (LM Studio, for example) by adding the server to its MCP config: ```json { diff --git a/website/docs/use-docs/workshop/00-Intro.md b/website/docs/use-docs/workshop/00-Intro.md index 5c397364..ccde861d 100644 --- a/website/docs/use-docs/workshop/00-Intro.md +++ b/website/docs/use-docs/workshop/00-Intro.md @@ -6,7 +6,7 @@ description: Build a searchable, FAIR-compliant data discovery portal from tabul --- :::caution Complete the prerequisites before you start -Most importantly, download the Docker images in advance — depending on your connection, this can take a while. +Most importantly, download the Docker images in advance; depending on your connection, this can take a while. ::: # Prerequisites @@ -142,7 +142,7 @@ Before starting, confirm: 2. `docker --version` returns 28.0.0 or later 3. `docker compose version` returns a version number 4. Docker Desktop is running with 4+ CPUs and 8 GB+ memory allocated -5. **All six Docker images are downloaded** (`docker images`) — _this is the most time-consuming step_ +5. **All six Docker images are downloaded** (`docker images`): _this is the most time-consuming step_ 6. The repository is cloned and you can `cd` into it 7. _(Windows only)_ WSL2 is configured and Docker integration is enabled diff --git a/website/docs/use-docs/workshop/02-Architecture.md b/website/docs/use-docs/workshop/02-Architecture.md index 79502c09..0cc26cae 100644 --- a/website/docs/use-docs/workshop/02-Architecture.md +++ b/website/docs/use-docs/workshop/02-Architecture.md @@ -103,7 +103,7 @@ Structuring data through a search API like Arranger makes it **machine-accessibl The platform connects to Arranger via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) and is designed around four core principles: data minimisation by default, no action without explicit researcher consent, sandboxed code execution, and fully reproducible sessions. Because research data is often sensitive, the platform runs on sovereign infrastructure rather than routing queries through commercial AI providers. -See the [Conversational Data Discovery guide](/use/conversational-data-discovery) for the workflow, the governing principles, and how to connect a client today. +See the [AI-Assisted Data Discovery guide](/use/ai-assisted-data-discovery) for the workflow, the governing principles, and how to connect a client today. ![CDD Conceptual Mock](./images/conversational-data-discovery-mockup.webp) diff --git a/website/docs/use-docs/workshop/05-Docker-Configuration.md b/website/docs/use-docs/workshop/05-Docker-Configuration.md index 1193eb46..9da15c0e 100644 --- a/website/docs/use-docs/workshop/05-Docker-Configuration.md +++ b/website/docs/use-docs/workshop/05-Docker-Configuration.md @@ -57,7 +57,7 @@ make platform ::: :::info -For future configuration changes (once your own data is loaded), `make restart` is sufficient — it reloads configs without wiping data. Only use `make reset` when you need to start from scratch. +For future configuration changes (once your own data is loaded), `make restart` is sufficient; it reloads configs without wiping data. Only use `make reset` when you need to start from scratch. ::: #### Troubleshooting @@ -81,7 +81,7 @@ curl -u elastic:myelasticpassword http://localhost:9200/_cluster/health?pretty make reset ``` -:::tip Windows (PowerShell) — full reset +:::tip Windows (PowerShell): full reset ```powershell .\run.ps1 reset @@ -103,7 +103,7 @@ Before proceeding, confirm: ## Reference: Service Configuration Details -The following sections explain how each service in `docker-compose.yml` is wired up. This is supplemental — you don't need to modify these while following along, but it's useful context if you're adapting the platform for your own deployment. +The following sections explain how each service in `docker-compose.yml` is wired up. This is supplemental; you don't need to modify these while following along, but it's useful context if you're adapting the platform for your own deployment. ### Setup diff --git a/website/docs/use-docs/workshop/09-Next-Steps.md b/website/docs/use-docs/workshop/09-Next-Steps.md index d376eb2f..1d669c31 100644 --- a/website/docs/use-docs/workshop/09-Next-Steps.md +++ b/website/docs/use-docs/workshop/09-Next-Steps.md @@ -54,7 +54,7 @@ These services compose together, letting you build from a simple search portal t One of the most compelling reasons to structure your data through Arranger is that it makes your data **machine-accessible in a way that modern AI tooling can reason over**. We are actively updating our search API so it can be consumed by a language model, enabling researchers to query and retrieve data in plain language. :::info -This capability is a direct and natural extension of the infrastructure you are building here. It is not part of this tutorial, but you can read how it works — the workflow, the governing principles, and how to connect a client — in the [Conversational Data Discovery guide](/use/conversational-data-discovery). +This capability is a direct and natural extension of the infrastructure you are building here. It is not part of this tutorial, but you can read how it works (the workflow, the governing principles, and how to connect a client) in the [AI-Assisted Data Discovery guide](/use/ai-assisted-data-discovery). ::: In addition to this our team is building a **Conversational Data Discovery (CDD)** platform: an interactive research environment that connects a self-hosted LLM to Overture datasets and beyond. Because Arranger exposes a live description of your data, including field names, types, value distributions, and catalogue structure, a language model is capable of: diff --git a/website/docs/use-docs/workshop/10-Extension-Task.md b/website/docs/use-docs/workshop/10-Extension-Task.md index d037d255..94eedf42 100644 --- a/website/docs/use-docs/workshop/10-Extension-Task.md +++ b/website/docs/use-docs/workshop/10-Extension-Task.md @@ -2,7 +2,7 @@ id: extension-task title: Extension Task sidebar_position: 10 -description: Use the Dictionary Playground to design a Lectern data dictionary with typed fields, controlled vocabularies, and multi-schema relationships — and see how it connects to submission validation and search indexing. +description: Use the Dictionary Playground to design a Lectern data dictionary with typed fields, controlled vocabularies, and multi-schema relationships, then see how it connects to submission validation and search indexing. --- # Extension Task diff --git a/website/src/pages/index.tsx b/website/src/pages/index.tsx index ad45c368..faf88f76 100644 --- a/website/src/pages/index.tsx +++ b/website/src/pages/index.tsx @@ -30,7 +30,7 @@ export default function Home(): JSX.Element { return ( + description="Documentation for the Overture platform: deploy, build with, and use Overture's open-source data-management software.">
    From ebbc436b4cfea0748079dff1b9548320a0f62e9e Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Mon, 27 Jul 2026 16:54:48 -0400 Subject: [PATCH 07/28] Expand and split the AI-Assisted Data Discovery guide into multiple pages --- submodules/arranger | 2 +- .../use-docs/ai-assisted-data-discovery.md | 99 ---------------- .../01-testing-environment.md | 109 ++++++++++++++++++ .../02-connect-a-host.md | 44 +++++++ .../03-configuration-templates.md | 68 +++++++++++ .../04-use-cases.md | 64 ++++++++++ .../05-deploy-your-own-mcp-server.md | 37 ++++++ .../ai-assisted-data-discovery/index.md | 71 ++++++++++++ .../docs/use-docs/workshop/02-Architecture.md | 10 +- .../docs/use-docs/workshop/09-Next-Steps.md | 6 +- website/useSidebars.ts | 16 ++- 11 files changed, 417 insertions(+), 109 deletions(-) delete mode 100644 website/docs/use-docs/ai-assisted-data-discovery.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/03-configuration-templates.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/index.md diff --git a/submodules/arranger b/submodules/arranger index 2840ac4b..8e84b4bb 160000 --- a/submodules/arranger +++ b/submodules/arranger @@ -1 +1 @@ -Subproject commit 2840ac4b4f7594158c8b6159cc8aac1107605b4e +Subproject commit 8e84b4bb12eac8a6d2ef65c155e1eb826603cb1c diff --git a/website/docs/use-docs/ai-assisted-data-discovery.md b/website/docs/use-docs/ai-assisted-data-discovery.md deleted file mode 100644 index b193388d..00000000 --- a/website/docs/use-docs/ai-assisted-data-discovery.md +++ /dev/null @@ -1,99 +0,0 @@ ---- -sidebar_position: 0.5 ---- - -# AI-Assisted Data Discovery - -AI-Assisted data discovery lets a researcher ask a deployed Overture portal questions in **plain language** and get back the exact records that answer them, without knowing field names, filter syntax, or query structure. - -> _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ - -The task is **natural language in, structured query out**, close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, and points to how to connect a client today. - -:::info Function first -This guide documents the _function_ (ask a question, review the generated query, get results) and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connecting a client](#connecting-a-client)). -::: - -## How a question becomes a query - -A generated query is three parts, each mapping to part of the sentence: - -| Part | What it decides | From the example | -| ------------------------------------ | ---------------------------------------- | ------------------------------------------- | -| **SQON filter** | _which_ records to return | "breast cancer … RNA-seq … Canadian donors" | -| **GraphQL field selection** | _which fields_ to return for each record | "show me … samples" | -| **GraphQL aggregation** _(optional)_ | a summary, when the question implies one | "_how many_ … per province" | - -[SQON](/develop/Arranger/reference/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/reference/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/reference/introspection) rather than guessing. - -## Governing principles - -The workflow is built around four principles, driven by the reality that this runs over sensitive biomedical data. - -1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue _schema_ (via introspection) to build a query, and a query returns only the fields it selects. -2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. -3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue (a bounded, read-only surface), not as free-form code against production systems. -4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. - -## The researcher workflow - -1. **Ask** a question in plain language against a chosen catalogue. -2. The model **discovers the schema** for that catalogue through the [Introspection API](/develop/Arranger/reference/introspection): the fields, their types, and the operators each accepts. -3. The model **builds the query**: a SQON filter plus a GraphQL field selection, and an aggregation if the question implies a summary. -4. The researcher **reviews and approves** the generated query (principle 2). -5. Arranger **executes** the approved query and returns the matching records (or aggregation buckets). - -## Connecting a client - -Arranger ships an **MCP server** that exposes its discovery and query tools over the [Model Context Protocol](https://modelcontextprotocol.io/), so any MCP-compatible client can drive the workflow above without Arranger-specific integration code. It provides tools to list catalogues, fetch the SQON schema, and retrieve a catalogue's fields, plus the same data as readable MCP resources. - -To connect a client today: - -- **MCP Inspector**: a browser-based UI for browsing the server's resources and calling its tools; useful while setting things up. -- **LM Studio**: a desktop app that bundles a local model runtime with a chat UI; add the Arranger MCP server as an MCP entry. - -Any client that speaks MCP over Streamable HTTP works the same way. For the concrete server setup, the tools and resources it exposes, and per-client connection steps, see Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. - -## Try it locally - -The quickest way to see this end to end is the AI-Assisted Data Discovery demo, a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data (gene correlation, mutation, expression, and protein catalogues). - -1. Clone and start the demo: - - ```bash - git clone -b overtureMCP --recurse-submodules https://github.com/overture-stack/prelude.git - cd prelude - make demo - ``` - - This runs system checks, starts the stack via Docker Compose, and loads the sample catalogues. The MCP server comes up at `http://localhost:3100/mcp`. - -2. Connect an MCP host (LM Studio, for example) by adding the server to its MCP config: - - ```json - { - "mcpServers": { - "arranger": { "url": "http://localhost:3100/mcp" } - } - } - ``` - -3. Load a tool-capable model and ask a question in plain language, for example: - - > _Show me BRCA genes with an overall mutation frequency above 10%_ - - The model discovers the catalogue's schema, constructs a query, and returns the matching records as a table. Follow-up questions refine the result set conversationally. - -See the [prelude repository](https://github.com/overture-stack/prelude) for the full walkthrough, the sample catalogues, and setup details. - -## What's coming - -The discovery workflow is being extended (tracked in the Arranger docs' [AI and automation](/develop/Arranger/reference/ai-and-automation#whats-coming) reference): - -- a dedicated researcher-facing **conversational host** (a chat front-end for non-technical users), -- **query-execution** tools that run an approved SQON against a catalogue and return results, and -- **authentication** on the MCP server. - -:::info **Need Help?** -If you encounter any issues or have questions, please reach out through our [**community support channels**](https://docs.overture.bio/community/support). -::: diff --git a/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md b/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md new file mode 100644 index 00000000..11d22f6b --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md @@ -0,0 +1,109 @@ +--- +id: testing-environment +sidebar_label: Testing environment +--- + +# Set up the testing environment + +The quickest way to see the workflow end to end is the AI-Assisted Data Discovery demo: a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data. It is locally deployable and accessible to pilot users and developers alike. + +## Prerequisites + +Install and verify the following before you start. This mirrors the OS coverage of the [build-a-portal workshop](/use/workshop/prerequisites). + +
    +1. Git `git --version` returns a version number + +Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. + +
    + +
    +2. Docker Desktop (`28.0.0` or later) + +- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) +- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) + +Once installed, open Docker Desktop → Settings → Resources and set: + +- **CPUs:** 4+ cores (8 recommended) +- **Memory:** 8 GB minimum +- **Disk:** 10 GB+ available + +Confirm `docker --version` and `docker compose version` both return version numbers, and that Docker Desktop is **running** with the resources above allocated. + +
    + +
    +3. _(Windows only)_ WSL2 configured with Docker Desktop integration enabled + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +The local model runtime (LM Studio) is installed later, in [Connect a host application](/use/ai-assisted-data-discovery/connect-a-host). + +## Start the demo + +Clone the demo branch and start the stack: + +```bash +git clone -b docs-demo/ai-assisted-data-discovery --recurse-submodules https://github.com/overture-stack/prelude.git +cd prelude +make demo +``` + +`make demo` runs system checks, starts the stack via Docker Compose, and loads the sample catalogues. The first run also downloads and builds the container images, so it can take a while depending on your connection. When it completes: + +- the **portal** is at [http://localhost:3000](http://localhost:3000) (the stack does not open a browser for you), and +- the **MCP server** is at `http://localhost:3100/mcp`. + +To stop the stack, run `make down`; to wipe all data and start clean, run `make reset`. + +:::note Windows +Run `make demo` from a **Bash terminal inside WSL2**. The MCP demo branch drives the stack through the `Makefile`, so use WSL2 rather than native PowerShell. +::: + +## What's running + +`docker ps` should list the stack. All ports bind to `127.0.0.1` only: + +| Service | Port | Role | +| ----------------- | -------------- | --------------------------------------------- | +| Stage (portal UI) | `3000` | Portal frontend | +| Arranger | `5050` | GraphQL API and introspection endpoints | +| Arranger MCP | `3100` | MCP server, Streamable HTTP at `/mcp` | +| OpenSearch | `9200` | Search engine | +| PostgreSQL | `5435` | Persistent storage | + +## The demo data + +The data is a **representative sample** drawn from the Drug Discovery Portal, roughly 1,000 rows in each of four gene-statistics catalogues, not the full upstream dataset. The upstream portal spans about **405 million records** across roughly **20,000 genes** and **32 cancer types**, and its datasets are related by gene (HUGO symbol), so a cohort filtered in one catalogue can be refined against the others: + +| Catalogue | Contents | Sample coverage | +| ------------- | ------------------------------- | ----------------------------------- | +| `correlation` | Gene correlation data | DLBC only | +| `mutation` | Gene mutation data | BRCA only | +| `expression` | Gene expression profiles | 32 cancer types | +| `protein` | Protein interaction statistics | Sampled | +| `donor` | Donor records | Sampled | + +A synthetic `fixture` catalogue also exists for platform testing. Because the samples are sized for demonstration, their coverage is deliberately narrow and uneven: a query outside a catalogue's coverage (for example asking `mutation` about a non-BRCA cancer type) returns no rows, which is expected, not an error. + +## Verify + +Confirm Arranger and the MCP server are up before connecting a host: + +```bash +# Arranger introspection lists the loaded catalogues +curl http://localhost:5050/introspection + +# The MCP container is running and listening on 3100 +docker ps | grep arranger-mcp +docker logs arranger-mcp # should show it connected to Arranger and listening +``` + +Once the stack is up, [connect a host application](/use/ai-assisted-data-discovery/connect-a-host). diff --git a/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md b/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md new file mode 100644 index 00000000..84ad70cb --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md @@ -0,0 +1,44 @@ +--- +id: connect-a-host +sidebar_label: Connect a host +--- + +# Connect a host application + +You interact with the data through your **MCP host application**; there is no separate chat UI to install. This section uses **LM Studio** as the worked example. Any MCP-compatible host (Claude Desktop, Ollama, OpenCode, OpenWebUI, and others) works the same way once pointed at the server; only the location of the MCP configuration differs, so consult that application's MCP documentation for where to put the [server entry](/use/ai-assisted-data-discovery/configuration-templates#mcp-server-entry). + +Before you start, make sure the [testing environment](/use/ai-assisted-data-discovery/testing-environment) is running. + +## Install LM Studio + +[Download and install LM Studio](https://lmstudio.ai/) for macOS, Windows, or Linux. LM Studio bundles a local model runtime with a chat UI, so the model runs on your machine and nothing leaves it (principle 1). + +## Choose a local model + +The workflow requires a model that supports **tool calling**: the model calls the server's tools to discover the schema and run queries. In LM Studio, tool-capable models are marked with a tool-use badge. The target is open-weights models in roughly the **4B to 70B parameter range, Q4-quantized**, so the whole workflow runs locally on accessible hardware. + +1. Open the **Discover** tab (magnifying glass icon). +2. Search for a tool-capable model. Reasonable starting points: + + | Model | Notes | + | ----------------------------------- | --------------------------------------------------------- | + | `Qwen2.5-7B-Instruct` (Q4, ~4.7 GB) | Good balance of speed and reasoning; strong tool-calling | + | `Qwen2.5-3B-Instruct` (Q4, ~2 GB) | Smaller option for machines with limited RAM | + + These are **provisional starting points**, not a benchmarked recommendation. A defensible, benchmarked model recommendation lands after the August 2026 model evaluation. + +3. Click **Download** and wait for it to complete. +4. Open the **Chat** tab and load the downloaded model; it should appear in the top status bar. + +## Configure the MCP connection + +The server speaks the **Streamable HTTP** MCP transport at `http://localhost:3100/mcp`. In LM Studio: + +1. Select the **Chat** tab from the left-hand menu. +2. In the right-hand panel, under **Integrations**, select **`+ Install`**. This opens your `mcp.json` file. +3. Add the [MCP server entry](/use/ai-assisted-data-discovery/configuration-templates#mcp-server-entry). +4. Click **Save** and confirm the server status shows **Connected**. + +If you set a custom `MCP_PORT` in the demo's `.env`, use that port in the URL instead of `3100`. + +With a host connected, work through the [demonstrated use cases](/use/ai-assisted-data-discovery/use-cases). diff --git a/website/docs/use-docs/ai-assisted-data-discovery/03-configuration-templates.md b/website/docs/use-docs/ai-assisted-data-discovery/03-configuration-templates.md new file mode 100644 index 00000000..0b8c7b68 --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/03-configuration-templates.md @@ -0,0 +1,68 @@ +--- +id: configuration-templates +sidebar_label: Configuration templates +--- + +# Configuration templates + +These templates are intended to be **extended after pilot testing**, not rewritten. Start from them and add your own catalogues, prompts, and checks as your deployment grows. + +## MCP server entry + +The host connection is a single server entry pointed at the Streamable HTTP endpoint: + +```json +{ + "mcpServers": { + "arranger": { + "url": "http://localhost:3100/mcp" + } + } +} +``` + +## Recommended prompts + +The model performs best when a question names its catalogue and stays within that catalogue's coverage. Useful starting prompts: + +- _What datasets are available?_ (lists the catalogues the server exposes) +- _What fields are available in the mutation catalogue?_ (lists each field, its type, and valid operators) +- _Show me BRCA genes with an overall mutation frequency above 10%._ (a first query) +- _Explain the filter you constructed for that query._ (the model can describe the SQON it built) + +Tips that carry across portals: + +- **Name the catalogue** in the question (for example "in the mutation catalogue"). +- **Ask about available fields first** if you are unsure what filters are possible. +- **Stay within a catalogue's coverage**; a filter outside it returns nothing. +- **Iterate conversationally**; each follow-up refines the previous result set. + +## Connection-testing procedure + +Before running a session, confirm each layer responds. Arranger exposes three introspection endpoints the MCP server depends on: + +```bash +# Server introspection: expect catalogCount, catalogs, mode, sqonSchemaPath +curl http://localhost:5050/introspection + +# SQON schema: expect $schema, operators, aliases, title, version +curl http://localhost:5050/introspection/sqon + +# Catalogue fields: expect catalogId, documentType, generatedAt, and a fields map +curl http://localhost:5050/introspection/mutation +``` + +The MCP server has no plain health route (its `/mcp` endpoint requires an MCP session handshake), so a port check is enough to confirm the process is up: + +```bash +nc -z localhost 3100 && echo "port open" +``` + +If the host cannot connect, the common causes are: + +| Symptom | Likely cause | Fix | +| ------------------------------------------ | --------------------------------------------- | ---------------------------------------------------------------------------------------------- | +| Host shows **Disconnected** | The `arranger-mcp` container isn't running | `docker ps` should list `arranger-mcp` on port 3100; check `docker logs arranger-mcp`. | +| Connection refused at `localhost:3100` | Wrong port, or another process is using 3100 | Confirm the host-side port with `docker ps`; if you overrode `MCP_PORT`, use that value. | +| Connected, but the model never calls a tool | The loaded model doesn't support tool calling | Load a tool-capable model (look for the tool-use badge). | +| A query returns no rows | The filter falls outside the sample's coverage | Ask the model what fields and values exist first, then query within the catalogue's coverage. | diff --git a/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md b/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md new file mode 100644 index 00000000..95bedea2 --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md @@ -0,0 +1,64 @@ +--- +id: use-cases +sidebar_label: Use cases +--- + +# Demonstrated use cases + +These are reproducible against the demo's Drug Discovery sample. The goal in each case is to refine a large gene list into a focused set of candidate targets. They are written so you can adapt the pattern to a different portal: substitute your own catalogue and field names, and keep the shape of the conversation. If a request is ambiguous, the model asks a targeted follow-up before querying (see [the researcher workflow](/use/ai-assisted-data-discovery#the-researcher-workflow)). + +## Use case 1: iterative refinement + +Iterative refinement narrows a large candidate set into a focused one through cross-table filtering, one conversational step at a time. This example moves from the `mutation` catalogue to the `expression` catalogue. + +1. **Discover the data.** + + > _What datasets are available?_ + + The model calls `list-catalogues` and returns the catalogues the server exposes. + +2. **Explore a catalogue's fields.** + + > _What fields are available in the mutation catalogue?_ + + The model calls `get-catalogue-fields` and returns fields such as `hugo_symbol`, `cancer_type`, `overall_mutation_frequency`, `is_oncogene`, and `is_tumor_suppressor_gene`, each with its type and valid operators. + +3. **Run a first query.** + + > _Show me BRCA genes with an overall mutation frequency above 10%._ + + The model constructs a SQON filter from the field metadata and calls `execute-query`, returning the matching genes as a table. + +4. **Refine across a second catalogue.** + + > _Which of these genes show elevated average expression?_ + + The model cross-references the `expression` catalogue using the gene list from the previous step and keeps the genes that also meet the expression criterion. + +5. **Narrow further.** + + > _Of those, which are annotated as oncogenes?_ + + The model adds an `is_oncogene` filter, leaving a short, focused candidate list. + +Each step approves and runs one query, and each follow-up operates on the previous result set, so a researcher builds a precise cohort without writing a single filter by hand. + +## Use case 2: pathway-informed filtering + +Pathway-informed filtering uses the same refinement pattern to assemble a candidate gene set, then relates those genes to biological pathways, the question that feeds deeper analysis. This is the project's headline end-to-end example; the sequence below mirrors it. + +1. **Assemble a candidate set** by mutation burden and cancer type: + + > _What are the most mutated genes in colorectal cancer?_ + + An open-ended request like this is usually ambiguous, so the model clarifies intent (which catalogue, which threshold) before proposing a filter such as `mutation_frequency > 10% AND hotspot = true` for the COADREAD cohort, then runs it once you approve. + +2. **Add an expression criterion** to keep genes that are also active: + + > _Which of these genes show elevated expression levels?_ + +3. **Ask the pathway question** to relate the focused set to known biology: + + > _What pathways are these genes involved in?_ + +**What is reproducible today, and what is not.** The gene-refinement pattern (steps 1 and 2) is reproducible against the demo, as long as you stay within each catalogue's loaded coverage. The demo's `mutation` sample is BRCA-only and does not include a `hotspot` field, so the colorectal (COADREAD) example above illustrates the full Drug Discovery Portal rather than the demo sample; to reproduce it locally, run the same shape of conversation against BRCA and the fields the demo actually exposes (see [use case 1](#use-case-1-iterative-refinement)). Step 3 is the hand-off point: dedicated pathway querying (a companion MCP server over MSigDB, the Molecular Signatures Database) is a forthcoming capability, so today the workflow produces the focused gene list that pathway analysis will consume. diff --git a/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md b/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md new file mode 100644 index 00000000..e91bf7c8 --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md @@ -0,0 +1,37 @@ +--- +id: deploy-your-own-mcp-server +sidebar_label: Deploy your own server +--- + +# Deploy the MCP server against your own Arranger + +In the demo, you do not run the MCP server by hand; `make demo` starts it as the `arranger-mcp` container. To point the server at a **different or standalone** Arranger instance, deploy the container yourself. + +```bash +docker pull ghcr.io/overture-stack/arranger-mcp-server:b4a414ce + +docker run -d \ + --name arranger-mcp \ + -e ARRANGER_BASE_URL=http://:5050 \ + -e ARRANGER_CATALOGUES=correlation,mutation,expression,protein,donor \ + -p 3100:3100 \ + ghcr.io/overture-stack/arranger-mcp-server:b4a414ce +``` + +Replace `` with your Arranger's hostname or IP. If Arranger runs in Docker on the same host, use `host.docker.internal` (macOS/Windows) or the Arranger container's service name on a shared network. Set `ARRANGER_CATALOGUES` to the catalogues your Arranger actually serves; the server exits on startup if it is missing. + +| Variable | Default | Required | Description | +| ----------------------------- | ----------------------- | ------------ | ------------------------------------------------------------------ | +| `ARRANGER_BASE_URL` | `http://localhost:5050` | **Required** | Base URL of the Arranger server | +| `ARRANGER_CATALOGUES` | `server` | **Required** | Comma-separated list of Arranger catalogues to expose | +| `ARRANGER_REQUEST_TIMEOUT_MS` | `10000` | Optional | HTTP timeout in milliseconds for requests to Arranger | +| `MCP_HOST` | `0.0.0.0` | Optional | Host the MCP server binds to | +| `MCP_PORT` | `3100` | Optional | Port the MCP server listens on | +| `MCP_PATH` | `/mcp` | Optional | Endpoint path for the Streamable HTTP transport | +| `LOG_LEVEL` | `info` | Optional | Pino log level (`trace`, `debug`, `info`, `warn`, `error`, `fatal`) | + +:::warning Log files can be sensitive +At `LOG_LEVEL` `debug` or `trace`, the server may write SQON query objects to its logs. Those queries are generated from researcher input and can reveal which datasets, filters, and value ranges a researcher is investigating. Treat log files as potentially sensitive data: keep `LOG_LEVEL` at `info` or higher in production unless you are actively debugging, and apply the same access controls and retention policies you use for your primary portal's query logs. +::: + +For the server's internals, its full tool inventory, and development and testing workflows, see the canonical Arranger MCP Server documentation at [`apps/mcp-server`](https://github.com/overture-stack/arranger/tree/main/apps/mcp-server) and Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. diff --git a/website/docs/use-docs/ai-assisted-data-discovery/index.md b/website/docs/use-docs/ai-assisted-data-discovery/index.md new file mode 100644 index 00000000..53fa0611 --- /dev/null +++ b/website/docs/use-docs/ai-assisted-data-discovery/index.md @@ -0,0 +1,71 @@ +--- +sidebar_label: Overview +--- + +# AI-Assisted Data Discovery + +AI-Assisted data discovery lets a researcher ask a deployed Overture portal questions in **plain language** and get back the exact records that answer them, without knowing field names, filter syntax, or query structure. + +> _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ + +The task is **natural language in, structured query out**, close in spirit to text-to-SQL, but the target is an Overture [Arranger](/develop/Arranger/overview) search query rather than SQL. This guide describes the workflow and the principles that govern it, walks you through a locally deployable testing environment, and gives reproducible use cases you can adapt to your own portal. + +:::info Function first +This guide documents the _function_ (ask a question, review the generated query, get results) and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connect a host application](/use/ai-assisted-data-discovery/connect-a-host)). +::: + +## Why conversational discovery + +Structuring data behind a search API already makes it machine-accessible. Exposing that API through MCP lets a single conversational interface reason across it, and across other MCP-connected tools, instead of building a bespoke integration for every new tool, view, or data source. The result is one query interface that grows with the ecosystem rather than with custom development. + +## How a question becomes a query + +A generated query is three parts, each mapping to part of the sentence: + +| Part | What it decides | From the example | +| ------------------------------------ | ---------------------------------------- | ------------------------------------------- | +| **SQON filter** | _which_ records to return | "breast cancer … RNA-seq … Canadian donors" | +| **GraphQL field selection** | _which fields_ to return for each record | "show me … samples" | +| **GraphQL aggregation** _(optional)_ | a summary, when the question implies one | "_how many_ … per province" | + +[SQON](/develop/Arranger/reference/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/reference/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/reference/introspection) rather than guessing. Because Arranger generates that schema live from the indexed data, the same MCP server works against any Overture deployment without changes. + +## Governing principles + +The workflow is built around four principles, driven by the reality that this runs over sensitive biomedical data. + +1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue _schema_ (via introspection) to build a query, and a query returns only the fields it selects. +2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. +3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue (a bounded, read-only surface), not as free-form code against production systems. +4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. + +## The researcher workflow + +The workflow runs in four beats: **request, clarifying intent, confirm, execute.** + +1. **Request.** The researcher asks a question in plain language. Before answering, the model grounds itself: it **lists the catalogues** to see which datasets exist, reads their descriptions to pick the relevant one, then **loads that catalogue's fields** (their types, descriptions, and valid operators) and the **SQON filter grammar** it needs to build a valid query. Loading fields for only the chosen catalogue, rather than every dataset up front, keeps the model within its context budget. +2. **Clarifying intent.** The model classifies the request as _answerable_, _ambiguous_, _unanswerable_, or _improper_, and responds accordingly: proposing a filter in plain language when it is answerable, presenting its interpretation and asking a targeted follow-up when it is ambiguous, or suggesting the closest available fields when the data cannot answer it. Because the fields come from live introspection, the model stays grounded in fields that actually exist rather than inventing them. (This classify-then-respond loop is adapted from Guo et al. (2024), [Enhancing LLMs for Multi-turn Text-to-SQL](https://arxiv.org/abs/2412.17867); the task here has the same shape, with an Arranger GraphQL query as the target instead of SQL.) +3. **Confirm.** The model presents the finished query in plain language for approval. Nothing runs until the researcher confirms (principle 2), a human-in-the-loop check enforced on every query. +4. **Execute.** Arranger runs the approved query and returns the matching records (or aggregation buckets). + +## In this guide + +1. **[Set up the testing environment](/use/ai-assisted-data-discovery/testing-environment)**: deploy the demo locally. +2. **[Connect a host application](/use/ai-assisted-data-discovery/connect-a-host)**: point LM Studio (or another MCP host) at the server. +3. **[Configuration templates](/use/ai-assisted-data-discovery/configuration-templates)**: server entry, recommended prompts, connection tests. +4. **[Demonstrated use cases](/use/ai-assisted-data-discovery/use-cases)**: reproducible conversational workflows. +5. **[Deploy the MCP server against your own Arranger](/use/ai-assisted-data-discovery/deploy-your-own-mcp-server)**: go beyond the demo. + +## What's coming + +- **Integrated pathway-informed discovery** through a companion MCP server over MSigDB (the Molecular Signatures Database), so a refined gene set can be related to known biology in the same conversation. +- **A dedicated research environment** for interactive exploration, analysis, and visualization, where the model produces reproducible **code artifacts** (the data query, the analysis code, the visualization code) rather than opaque answers. +- **Extensibility** through additional MCP servers and reusable **Skills**, keeping research data under local context control. +- **A dedicated conversational host** for non-technical users, and **authentication** on the MCP server. +- **Testing and model optimization**, including a benchmarked model recommendation after the August 2026 evaluation. + +For the Arranger server's own roadmap, see its [AI and automation](/develop/Arranger/reference/ai-and-automation#whats-coming) reference. + +:::info **Need Help?** +If you encounter any issues or have questions, please reach out through our [**community support channels**](https://docs.overture.bio/community/support). +::: diff --git a/website/docs/use-docs/workshop/02-Architecture.md b/website/docs/use-docs/workshop/02-Architecture.md index 0cc26cae..5adc661a 100644 --- a/website/docs/use-docs/workshop/02-Architecture.md +++ b/website/docs/use-docs/workshop/02-Architecture.md @@ -97,21 +97,21 @@ The components used in this tutorial are part of the broader [Overture](https:// These extensions are beyond the scope of this tutorial but represent the natural next steps for teams that need structured data submission workflows, file management, or multi-service integration. -#### Conversational Data Discovery +#### AI-Assisted Data Discovery -Structuring data through a search API like Arranger makes it **machine-accessible in a way that modern AI tooling can reason over**. Arranger exposes a live, structured description of your data, including field names, types, value distributions, and schema, making it a natural foundation for AI-assisted discovery. Our team is building a **[Conversational Data Discovery (CDD)](https://www.alliancecan.ca/en/latest/news/the-alliance-invests-in-transforming-research-software-to-accelerate-discovery)** platform that wraps self-hosted language models around Arranger-indexed datasets, allowing researchers to query and analyse data in plain language rather than constructing filters manually. +Structuring data through a search API like Arranger makes it **machine-accessible in a way that modern AI tooling can reason over**. Arranger exposes a live, structured description of your data, including field names, types, value distributions, and schema, making it a natural foundation for AI-assisted discovery. Our team is building an **[AI-Assisted Data Discovery](https://www.alliancecan.ca/en/latest/news/the-alliance-invests-in-transforming-research-software-to-accelerate-discovery)** platform that wraps self-hosted language models around Arranger-indexed datasets, allowing researchers to query and analyse data in plain language rather than constructing filters manually. The platform connects to Arranger via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) and is designed around four core principles: data minimisation by default, no action without explicit researcher consent, sandboxed code execution, and fully reproducible sessions. Because research data is often sensitive, the platform runs on sovereign infrastructure rather than routing queries through commercial AI providers. See the [AI-Assisted Data Discovery guide](/use/ai-assisted-data-discovery) for the workflow, the governing principles, and how to connect a client today. -![CDD Conceptual Mock](./images/conversational-data-discovery-mockup.webp) +![AI-Assisted Data Discovery conceptual mock](./images/conversational-data-discovery-mockup.webp) :::info -**The interface shown above is a conceptual mock-up**. CDD is under active development and is not covered in this tutorial. +**The interface shown above is a conceptual mock-up**. AI-Assisted Data Discovery is under active development and is not covered in this tutorial. ::: -The infrastructure you are building today will be compatible when the CDD platform reaches production. +The infrastructure you are building today will be compatible when the AI-Assisted Data Discovery platform reaches production. ### Checkpoint diff --git a/website/docs/use-docs/workshop/09-Next-Steps.md b/website/docs/use-docs/workshop/09-Next-Steps.md index 1d669c31..1b369c3e 100644 --- a/website/docs/use-docs/workshop/09-Next-Steps.md +++ b/website/docs/use-docs/workshop/09-Next-Steps.md @@ -49,7 +49,7 @@ The search and exploration stack used in this tutorial is part of the broader Ov These services compose together, letting you build from a simple search portal to a full data management platform incrementally. For more information, see the [Overture documentation](https://docs.overture.bio). -### Conversational Data Discovery +### AI-Assisted Data Discovery One of the most compelling reasons to structure your data through Arranger is that it makes your data **machine-accessible in a way that modern AI tooling can reason over**. We are actively updating our search API so it can be consumed by a language model, enabling researchers to query and retrieve data in plain language. @@ -57,7 +57,7 @@ One of the most compelling reasons to structure your data through Arranger is th This capability is a direct and natural extension of the infrastructure you are building here. It is not part of this tutorial, but you can read how it works (the workflow, the governing principles, and how to connect a client) in the [AI-Assisted Data Discovery guide](/use/ai-assisted-data-discovery). ::: -In addition to this our team is building a **Conversational Data Discovery (CDD)** platform: an interactive research environment that connects a self-hosted LLM to Overture datasets and beyond. Because Arranger exposes a live description of your data, including field names, types, value distributions, and catalogue structure, a language model is capable of: +In addition to this our team is building an **AI-Assisted Data Discovery** platform: an interactive research environment that connects a self-hosted LLM to Overture datasets and beyond. Because Arranger exposes a live description of your data, including field names, types, value distributions, and catalogue structure, a language model is capable of: - **Understanding what data is available** without being hardcoded to a specific schema. - **Translating natural language questions into validated queries.** A researcher asks "how many samples have a TP53 mutation?" and the model constructs the correct filter against your specific field names. @@ -65,7 +65,7 @@ In addition to this our team is building a **Conversational Data Discovery (CDD) - **Executing analysis code in a sandboxed workspace.** Once a query is confirmed, the model can generate Python to analyse and visualize results, running it in an isolated container where the researcher approves every step. :::info -**Why self-hosted models:** Research data is often sensitive. Routing queries through commercial AI providers is not viable for many research contexts. The CDD platform can be used to run capable models, adjacent to the data, with full control over the stack. +**Why self-hosted models:** Research data is often sensitive. Routing queries through commercial AI providers is not viable for many research contexts. This platform can be used to run capable models, adjacent to the data, with full control over the stack. ::: ### Get in Touch diff --git a/website/useSidebars.ts b/website/useSidebars.ts index 005e878b..29fbf423 100644 --- a/website/useSidebars.ts +++ b/website/useSidebars.ts @@ -13,7 +13,21 @@ const sidebars: SidebarsConfig = { label: "Data Consumers", collapsible: false, className: "sidebar-section-heading", - items: ["ai-assisted-data-discovery", "cli-downloads"], + items: [ + { + type: "category", + label: "AI-Assisted Data Discovery", + link: { type: "doc", id: "ai-assisted-data-discovery/index" }, + items: [ + "ai-assisted-data-discovery/testing-environment", + "ai-assisted-data-discovery/connect-a-host", + "ai-assisted-data-discovery/configuration-templates", + "ai-assisted-data-discovery/use-cases", + "ai-assisted-data-discovery/deploy-your-own-mcp-server", + ], + }, + "cli-downloads", + ], }, { type: "category", From e629cbc9a2a131e6d8e22daf32e9cd44382b8dcc Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Mon, 27 Jul 2026 19:51:40 -0400 Subject: [PATCH 08/28] updated file transfer guides --- website/docs/use-docs/02-cli-downloads.md | 106 +- website/docs/use-docs/03-cli-submissions.md | 1188 +++---------------- 2 files changed, 205 insertions(+), 1089 deletions(-) diff --git a/website/docs/use-docs/02-cli-downloads.md b/website/docs/use-docs/02-cli-downloads.md index 3131e9d7..b6f03026 100644 --- a/website/docs/use-docs/02-cli-downloads.md +++ b/website/docs/use-docs/02-cli-downloads.md @@ -2,7 +2,7 @@ **This guide is for** anyone seeking guidance on how to download data from an Overture platform. -**You will need** docker installed. We recommend using Docker Desktop; for more information, visit [Docker's website](https://www.docker.com/products/docker-desktop/). +**You will need** Docker installed. We recommend using Docker Desktop; for more information, visit [Docker's website](https://www.docker.com/products/docker-desktop/). #### Visual Summary: @@ -10,125 +10,123 @@ ## Getting Started -**1. Clone the Quickstart repository** +This guide uses a dedicated demo environment: the `docs-demo/file-transfer` branch of the Overture Prelude repository. It is a self-contained Overture portal (Song, Score, Maestro, MinIO, Arranger, and Stage). + +**1. Clone the demo branch** ```bash -git clone https://github.com/overture-stack/composer.git +git clone -b docs-demo/file-transfer https://github.com/overture-stack/prelude.git +cd prelude ``` -**2. With Docker open run the docker-compose** +**2. Start the platform with sample data** ```bash -docker compose up --attach conductor +make demo ``` :::caution -**Ensure enough resources get allocated to Docker** We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** found on the top right of the Docker desktop app and selecting **resources** from the left panel. **If you already have docker desktop installed, ensure you are on version 4.39.0 or higher** +**Ensure enough resources are allocated to Docker.** We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** at the top right of the Docker Desktop app and selecting **Resources** from the left panel. **Ensure you are on Docker Desktop version 4.39.0 or higher.** ::: +`make demo` starts the stack and loads the sample dataset (3 donors, 12 files). Once indexing completes, the portal at `localhost:3000` shows 12 records ready to download. If you already started the platform with `make platform`, run `make submit` to load the sample data. + ## Data Download with the Score Client ### Generate a Manifest -1. **Build your Query:** From the portal exploration page (`localhost:3000/explorer`), build your query using the search facets panel and data table. +1. **Build your query:** Open the portal's file repository at `localhost:3000/fileTable` and use the search facets and data table to narrow your selection. The file count updates in real time. ![Build Query](./images/buildQueries.png "Build Query") -2. **Download your manifest:** With your data of interest selected, click the download dropdown and select file manifest +2. **Download your manifest:** With your data of interest selected, click the **Download** dropdown and select **File Manifest**. :::info -**Why a Manifest?** +**Why a manifest?** -The file manifest provides a detailed list of fields relevant to your query in a TSV (Tab-Separated Values) format. This file is essential for Score to locate and download your data efficiently. We utilize manifests in conjunction with specialized file transfer services because large genomic datasets require reliable multi-part download sessions, which are not suitable for browser-based transfers. +The file manifest is a tab-separated (TSV) list of the files matching your query. Score uses it to locate and download your data efficiently. We use manifests with a dedicated file-transfer service because large genomic datasets require reliable multi-part download sessions, which are not suitable for browser-based transfers. ::: -### Retrieve your API Key - -API Keys are brokered by Keycloak and accessible when logged in to the Stage UI. For the Overture QuickStart, Stage can access from `localhost:3000` - -**1. Login through the Stage UI** by selecting login from the top right. Default credentials when using the Overture Composer will be username `admin` and password `admin123`. - -**2. Generate a new API token** by selecting **Profile and Token** from your user dropdown menu at the top right of the Stage UI and selecting **Generate New Token**. - -![Accessing an API Key](./images/apikeys.png "Accessing an API Key") - ### Run the Score Client -**Running the Score Client:** Use the following command with your API token to pull and run a Score Client docker container +Authentication is disabled in this demo, so a fixed placeholder access token is used. The client runs as a Docker container joined to the platform's internal network (`overture-demo_platform-network`) so it can reach Song and Score by hostname. ```bash docker run -d -it --name score-client \ -e ACCESSTOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528 \ - -e STORAGE_URL=http://localhost:8087 \ - -e METADATA_URL=http://localhost:8080 \ - --network="host" \ - --platform="linux/amd64" \ - --mount type=bind,source=./guideMaterials/dataDownload/,target=/output \ - ghcr.io/overture-stack/score:latest + -e STORAGE_URL=http://score:8087 \ + -e METADATA_URL=http://song:8080 \ + --network overture-demo_platform-network \ + --platform linux/amd64 \ + --mount type=bind,source="$(pwd)/data",target=/data \ + ghcr.io/overture-stack/score-client:ee758b91 ``` -:::caution -**Note:** Ensure you are running the following commands from the root directory of the quickstart folder. The values here reflect those compatible with the Overture QuickStart. -::: -
    Click here for a detailed breakdown -- `-d` runs the container in detached mode, meaning it runs in the background and does not receive input or display output in the terminal +- `-d` runs the container in detached mode, so it runs in the background -- `-it` combines the `-i` (interactive) and `-t` (allocate a pseudo-TTY) options, allowing you to interact with the container via the terminal +- `-it` combines `-i` (interactive) and `-t` (allocate a pseudo-TTY), allowing you to interact with the container -- `-e ACCESSTOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528` sets up the score-client with a pre-configured system-wide access token. Alternatively, you can log in through stage found on `localhost:3000/login` with the username `admin` and password `admin123`. From the profile page you can generate your own API key and supply it here +- `-e ACCESSTOKEN=...` supplies the access token. Auth is disabled in this demo, so the value is accepted without being checked -- `-e STORAGE_URL=http://score:8087` is the url for the Score server that the Score-Client will interact with +- `-e STORAGE_URL=http://score:8087` is the Score server the client interacts with, reachable by hostname on the platform network -- `-e METADATA_URL=http://song:8080` is the url for the song server that the score-client will interact with +- `-e METADATA_URL=http://song:8080` is the Song server the client interacts with -- `--network="host"` Uses the host network stack inside the container, bypassing the usual network isolation. This means the container shares the network namespace with the host machine +- `--network overture-demo_platform-network` joins the container to the platform's internal network so `song` and `score` resolve -- `--platform="linux/amd64"` Specifies the platform the container should emulate. In this case, it's set to linux/amd64, indicating the container is intended to run on a Linux system with an AMD64 architecture +- `--platform linux/amd64` selects the image architecture -- `--mount type=bind,source=./guideMaterials/dataDownload,target=/output` mounts the directory and its contents from the host machine to the container. Any changes made to the files in this directory will be reflected locally and in your docker container. +- `--mount type=bind,source="$(pwd)/data",target=/data` mounts the local `data/` directory into the container. Downloaded files and the manifest are shared through this directory
    ### Download your Data -Add the manifest to the `./guideMaterials/dataDownload` folder in your QuickStart repository. For simplicity, update its name to manifest.tsv. After moving and renaming the manifest, you can run the provided command: +Place the manifest downloaded from the portal into the `data/` directory of the cloned repository. For simplicity, rename it to `manifest.tsv`. Then run: ```bash -docker exec score-client sh -c "score-client download --manifest /output/manifest.tsv --output-dir /output" +docker exec score-client sh -c "score-client download --manifest /data/manifest.tsv --output-dir /data/downloads" ``` -- `/dataFiles/manifest.tsv` represents the location of the earlier generated manifest file for simplicity you can either point to your download folder or move your manifest.tsv to the dataDownload folder in the quickstart repository +- `--manifest /data/manifest.tsv` points at the manifest you downloaded from the portal -- `/output` specifies the directory you intend to download the files too +- `--output-dir /data/downloads` is where the files are written -If successful the Score Client should produce the following logs and your files will now be located within your output directory (`./guideMaterials/dataDownload`). +If successful, the Score client produces logs like the following, and your files are written to `./data/downloads/`: ```bash Downloading... --------------------------------------------------------------------------------------------------------------------------------------------------------------- -[1/2] Downloading object: 5b3bf92a-8f57-54b9-9ab9-6dcf34a0dc78 (SP011501.indel.vcf.gz) +[1/2] Downloading object: 5b3bf92a-8f57-54b9-9ab9-6dcf34a0dc78 (DO001.snv.vcf.gz) --------------------------------------------------------------------------------------------------------------------------------------------------------------- 100% [#########################] Parts: 1/1, Checksum: 100%, Write/sec: 177.7K/s, Read/sec: 177.7K/s Finalizing... Total execution time: 122.6 ms Total bytes read : 17,346 Total bytes written : 17,346 -Verifying checksum...--------------------------------------------------------------------------------------------------------------------------------------------------------------- -[2/2] Downloading object: 30697525-1033-543c-a86b-1ab428c7e8d5 (SP011501.indel.vcf.gz.tbi) ---------------------------------------------------------------------------------------------------------------------------------------------------------------- -100% [#########################] Parts: 1/1, Checksum: 100%, Write/sec: 2.9K/s, Read/sec: 2.9K/s -Finalizing... -Total execution time: 56.86 ms -Total bytes read : 144 -Total bytes written : 144 Verifying checksum...Done. ``` -For more information on using the Score-Client see our [Score-Client command reference documentation](/) +### Clean up + +Remove the client container when finished: + +```bash +docker rm -f score-client +``` + +## Exporting Search Results (No Download) + +To export the filtered table as a spreadsheet without downloading files: + +1. Apply your filters in the portal +2. Click **Download**, then **File Table** + +This downloads a TSV with the rows for all matching records. No Score client or manifest is needed. :::tip **Help us make our guides better** diff --git a/website/docs/use-docs/03-cli-submissions.md b/website/docs/use-docs/03-cli-submissions.md index c51a3b90..6402019b 100644 --- a/website/docs/use-docs/03-cli-submissions.md +++ b/website/docs/use-docs/03-cli-submissions.md @@ -1,1110 +1,228 @@ # File Submission -**This guide is for** anyone seeking guidance on submitting data to an Overture platform. By the end of this guide you will have completed a full data submission workflow, including updating the submitted data to conform to the data model enforced by Song. +**This guide is for** anyone seeking guidance on submitting data to an Overture platform. By the end of this guide you will have completed a full data submission workflow: registering an analysis with Song and uploading its files with Score. -**You will need** docker installed. We recommend using Docker Desktop; for more information, visit [Docker's website](https://www.docker.com/products/docker-desktop/). +**You will need** Docker installed. We recommend using Docker Desktop; for more information, visit [Docker's website](https://www.docker.com/products/docker-desktop/). -**Background:** Submitting data to an Overture platform typically includes data files (BAMS, CRAMS, VCFs, etc.) along with associated metadata that provides context including donor information and descriptions of the data files. This guide focuses on submitting data to Song & Score using their Command Line Clients (CLIs). +**Background:** Submitting data to an Overture platform typically means data files (BAMs, CRAMs, VCFs, and similar) together with associated metadata that provides context, including donor information and descriptions of the data files. This guide focuses on submitting data to Song and Score using their command-line clients (CLIs). #### Visual Summary: ![Submission Overview](./images/dataSubmission.webp "End Goal") -### Getting Started +## Getting Started -**1. Clone the Quickstart repository** +This guide uses a dedicated demo environment: the `docs-demo/file-transfer` branch of the Overture Prelude repository. It is a self-contained Overture portal (Song, Score, Maestro, MinIO, Arranger, and Stage) preconfigured with a `demo` study and a `genomicVariants` analysis schema. - ```bash - git clone https://github.com/overture-stack/composer.git - ``` +**1. Clone the demo branch** -**2. With Docker open, run the docker-compose** +```bash +git clone -b docs-demo/file-transfer https://github.com/overture-stack/prelude.git +cd prelude +``` - ```bash - docker compose up --attach conductor - ``` +**2. Start the platform** - :::caution - **Ensure enough resources get allocated to Docker** We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** found on the top right of the Docker desktop app and selecting **resources** from the left panel. **If you already have docker desktop installed, ensure you are on version 4.39.0 or higher** - ::: +```bash +make platform +``` -## CLI Submission - -### Generate an API Key - -API Keys are brokered by Keycloak and accessible when logged in to the Stage UI. For the Overture QuickStart, Stage can access from `localhost:3000` - -1. **Login through the Stage UI** by selecting login from the top right. The default credentials will be username `admin` and password `admin123` when using the Overture QuickStart. - -2. **Once logged in, it's time to generate a new API token:** To do this, click on **Profile and Token** from your user drop down menu, located on the top right of the Stage UI. Then, select **Generate New Token**. - -![Accessing an API Key](./images/apikeys.png "Accessing an API Key") - -### Run the Song & Score Clients +:::caution +**Ensure enough resources are allocated to Docker.** We recommend a minimum CPU limit of `8`, memory limit of `8 GB`, swap of `2 GB`, and virtual disk limit of `64 GB`. You can access these settings by selecting the **cog wheel** at the top right of the Docker Desktop app and selecting **Resources** from the left panel. **Ensure you are on Docker Desktop version 4.39.0 or higher.** +::: -1. **Running the Song Client:** Use the following command with your API token to pull and run a Song Client docker container +`make platform` starts the stack empty so you can submit your own data. The setup step creates the `demo` study and registers the `genomicVariants` schema automatically. - ```bash - docker run -d -it --name song-client \ - -e CLIENT_ACCESS_TOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528 \ - -e CLIENT_STUDY_ID=demo \ - -e CLIENT_SERVER_URL=http://localhost:8080 \ - --network="host" \ - --platform="linux/amd64" \ - --mount type=bind,source=./guideMaterials/dataSubmission,target=/output \ - ghcr.io/overture-stack/song-client:5.1.1 - ``` +## What are we submitting? -
    - Click here for a detailed breakdown - - `-d` runs the container in detached mode, meaning it runs in the background and does not receive input or display output in the terminal +A **payload** is a JSON file describing an analysis: its clinical metadata and the list of files to upload. The demo ships three sample payloads in `data/payloads/` (`DO001.json`, `DO002.json`, `DO003.json`), each listing four small placeholder genomic files in `data/files/`. - - `-it` combines the `-i` (interactive) and `-t` (allocate a pseudo-TTY) options, allowing you to interact with the container via the terminal +Below is the payload for donor `DO001`. Its `analysisType` is `genomicVariants`, the schema registered during setup. - - `-e CLIENT_ACCESS_TOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528` sets up the song-client with a pre-configured system-wide access token. Alternatively, you can log in through Stage from `localhost:3000/login` with the username `admin` and password `admin123`. From the profile page, you can generate your API key and supply it here +
    +View the payload (DO001.json) - - `-e CLIENT_STUDY_ID=demo` the quickstart is pre-configured with a `Study ID` named `demo`, we supply the `Study ID` value to the song-client on start-up +```json +{ + "studyId": "demo", + "analysisType": { "name": "genomicVariants" }, + "samples": [ + { + "submitterSampleId": "DO001-SA01", + "matchedNormalSubmitterSampleId": null, + "sampleType": "Total DNA", + "specimen": { + "submitterSpecimenId": "DO001-SP01", + "tumourNormalDesignation": "Tumour", + "specimenType": "Primary tumour", + "specimenTissueSource": "Breast" + }, + "donor": { + "submitterDonorId": "DO001", + "gender": "Female" + } + } + ], + "files": [ + { "fileName": "DO001.snv.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "SNV" }, + { "fileName": "DO001.indel.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "INDEL" }, + { "fileName": "DO001.cnv.txt.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "TXT", "fileAccess": "open", "dataType": "CNV" }, + { "fileName": "DO001.sv.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "SV" } + ], + "experiment": { + "sex": "female", + "age_at_diagnosis": 55, + "vital_status": "alive", + "diagnosis_date": "2021-03-15", + "disease_stage": "Stage II", + "primary_diagnosis": "Breast Adenocarcinoma", + "treatment_type": "Surgery", + "treatment_response": "Complete Response" + } +} +``` - - `-e CLIENT_SERVER_URL=http://localhost:8080` is the url for the Song server which the Song-Client will interact with +
    - - `--network="host"` Uses the host network stack inside the container, bypassing the usual network isolation. This means the container shares the network namespace with the host machine +:::info +`fileSize` and `fileMd5sum` are placeholders in the committed payloads. The Song and Score clients compute the real values from disk at submission time; the payload files themselves are never modified. +::: - - `--platform="linux/amd64"` Specifies the platform the container should emulate. In this case, it's set to linux/amd64, indicating the container is intended to run on a Linux system with an AMD64 architecture +## Run the Song and Score clients - - `--mount type=bind,source=./guideMaterials/dataSubmission,target=/output` mounts the directory and its contents (volume) from the host machine to the container. In this case, the mockData being used for our submission. It binds the directory ./guideMaterials/dataSubmission from the host to /output inside the container. Any changes made to the files in this directory will be reflected in both locations +The clients run as Docker containers joined to the platform's internal network (`overture-demo_platform-network`) so they can reach the services by hostname. Authentication is disabled in this demo, so a fixed placeholder access token is used throughout. -
    +**1. Start the Song client** - :::caution - **Note:** Ensure you are running the following commands from the root directory of the quickstart folder. The values here reflect those compatible with the Overture QuickStart. - ::: +```bash +docker run -d -it --name song-client \ + -e CLIENT_ACCESS_TOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528 \ + -e CLIENT_STUDY_ID=demo \ + -e CLIENT_SERVER_URL=http://song:8080 \ + --network overture-demo_platform-network \ + --platform linux/amd64 \ + --mount type=bind,source="$(pwd)/data/payloads",target=/payloads \ + --mount type=bind,source="$(pwd)/data",target=/data \ + ghcr.io/overture-stack/song-client:5131f6f8 +``` -2. **Running the Score Client:** Use the following command with your API token to pull and run a Score Client docker container +
    +Click here for a detailed breakdown - ```bash - docker run -d -it --name score-client \ - -e ACCESSTOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528 \ - -e STORAGE_URL=http://localhost:8087 \ - -e METADATA_URL=http://localhost:8080 \ - --network="host" \ - --platform="linux/amd64" \ - --mount type=bind,source=./guideMaterials/dataSubmission,target=/output \ - ghcr.io/overture-stack/score:latest - ``` +- `-d` runs the container in detached mode, so it runs in the background -
    - Click here for a detailed breakdown - - `-d` runs the container in detached mode, meaning it runs in the background and does not receive input or display output in the terminal +- `-it` combines `-i` (interactive) and `-t` (allocate a pseudo-TTY), allowing you to interact with the container - - `-it` combines the `-i` (interactive) and `-t` (allocate a pseudo-TTY) options, allowing you to interact with the container via the terminal +- `-e CLIENT_ACCESS_TOKEN=...` supplies the access token. Auth is disabled in this demo, so the value is accepted without being checked - - `-e ACCESSTOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528` sets up the score-client with a pre-configured system-wide access token. Alternatively, you can log in to Stage from `localhost:3000/login` with the username `admin` and password `admin123`. From the profile page, you can generate your API key and supply it here +- `-e CLIENT_STUDY_ID=demo` sets the study the analysis is registered under; the demo study is named `demo` - - `-e STORAGE_URL=http://score:8087` is the url for the Score server that the Score-Client will interact with +- `-e CLIENT_SERVER_URL=http://song:8080` is the Song server the client talks to, reachable by hostname on the platform network - - `-e METADATA_URL=http://song:8080` is the url for the song server that the score-client will interact with +- `--network overture-demo_platform-network` joins the container to the platform's internal network so `song` and `score` resolve - - `--network="host"` Uses the host network stack inside the container, bypassing the usual network isolation. This means the container shares the network namespace with the host machine +- `--platform linux/amd64` selects the image architecture - - `--platform="linux/amd64"` Specifies the platform the container should emulate. In this case, it's set to linux/amd64, indicating the container is intended to run on a Linux system with an AMD64 architecture +- `--mount ...data/payloads` and `--mount ...data` make the payload JSON files and the data directory (files plus the generated manifest) available inside the container - - `--mount type=bind,source=./guideMaterials/dataSubmission,target=/output` mounts the directory and its contents (volume) from the host machine to the container. In this case, the mockData being used for our submission. It binds the directory ./guideMaterials/dataSubmission from the host to /output inside the container. Any changes made to the files in this directory will be reflected in both locations +
    -
    +**2. Start the Score client** - :::caution - **Note:** Ensure you are running the following commands from the root directory of the quickstart folder. The values here reflect those compatible with the Overture QuickStart. - ::: +```bash +docker run -d -it --name score-client \ + -e ACCESSTOKEN=68fb42b4-f1ed-4e8c-beab-3724b99fe528 \ + -e STORAGE_URL=http://score:8087 \ + -e METADATA_URL=http://song:8080 \ + --network overture-demo_platform-network \ + --platform linux/amd64 \ + --mount type=bind,source="$(pwd)/data",target=/data \ + ghcr.io/overture-stack/score-client:ee758b91 +``` -### Submit metadata to Song +## Submit metadata to Song -#### What are we submitting? +Submit the payload with the Song client `submit` command: -We will now begin submitting our payload to the Overture platform. In this context a payload refers to a collection of related metadata and file data to be uploaded to the resource. +```bash +docker exec song-client sh -c "sing submit -f /payloads/DO001.json" +``` -- The mock data we will use can be found in the Overture Quickstart repository from the     composer/guideMaterials/dataSubmission/ directory +Song validates the payload against the `genomicVariants` schema. On success it returns an `analysisId`: -- The files included are two VCF data files (`SP059902.snv.vcf.gz` and `SP059902.snv.vcf.gz.tbi`) and a JSON file, `SP059902.vcf.json` that contains all the associated metadata +```json +{ + "analysisId": "4d9ed1c5-1053-4377-9ed1-c51053f3771f", + "status": "OK" +} +``` -
    - Click here to view the metadata file (SP059902.vcf.json) - - ```JSON - { - "studyId": "demo", - "analysisType": { - "name": "quickStartSchema" - }, - "collaborator": [ - { - "name": "IICR", - "contactEmail": "dataSubmitter@example.com" - } - ], - "samples": [ - { - "submitterSampleId": "SP059902", - "sampleType": "Total DNA", - "matchedNormalSubmitterSampleId": null, - "specimen": { - "submitterSpecimenId": "SP059902", - "specimenType": "Normal - tissue adjacent to primary tumour", - "tumourNormalDesignation": "Normal", - "specimenTissueSource": "Blood derived - bone marrow" - }, - "donor": { - "submitterDonorId": "DO0599", - "gender": "Female" - } - } - ], - "files": [ - { - "dataType": "Raw SV Calls", - "fileName": "SP059902.snv.vcf.gz", - "fileSize": 17246, - "fileMd5sum": "94b790078d8e98ad08ffc42389e2fa68", - "fileAccess": "open", - "fileType": "VCF", - "info": { - "dataCategory": "Simple Nucelotide Variation", - "jbrowseCoordinates": "hg38:chr1:100000-200000" - } - }, - { - "dataType": "Raw SV Calls", - "fileName": "SP059902.snv.vcf.gz.tbi", - "fileSize": 141, - "fileMd5sum": "f5cca6ace25d076d1f76cebf4ce3defd", - "fileAccess": "open", - "fileType": "TBI", - "info": { - "dataCategory": "Simple Nucelotide Variation", - "jbrowseCoordinates": "hg38:chr1:100000-200000" - } - } - ], - "specimen": { - "submitterPrimaryDiagnosisId": "PD059901", - "submitterSpecimenId": "SP059902", - "specimenAnatomicLocation": "C31", - "tumourGradingSystem": "Nuclear grading system for DCIS", - "tumourGrade": "G1" - }, - "donor": { - "submitterDonorId": "DO0599", - "primarySite": "Trachea", - "vitalStatus": "Alive", - "survivalTime": null, - "causeOfDeath": null, - "primaryDiagnosis": [ - { - "submitterPrimaryDiagnosisId": "PD059901", - "ageAtDiagnosis": 50, - "cancerTypeCode": "C34.2", - "clinicalTumourStagingSystem": "Binet staging system", - "clinicalStageGroup": "Stage A", - "treatment": [ - { - "submitterTreatmentId": "TR059901", - "treatmentType": [ - "Chemotherapy" - ], - "treatmentStartInterval": 58, - "treatmentDuration": 52, - "responseToTreatment": "Complete response", - "chemotherapy": [ - { - "drugName": "Tamoxifen " - } - ] - } - ], - "followUp": [ - { - "submitterFollowUpId": "FO059901", - "submitterTreatmentId": "TR059901", - "intervalOfFollowUp": 45, - "diseaseStatusAtFollowUp": "Stable", - "relapseType": null - } - ] - } - ] - }, - "experiment": { - "platform": "PacBio", - "experimentalStrategy": "WXS", - "model": "SEQUEL IIe", - "sequencingCenter": "CGTA", - "sequencingDate": "2021-03-08T19:00:00.000Z" - }, - "workflow": { - "workflowName": "Mutect2 Variant Calling", - "workflowShortName": "Mutect2Variant", - "workflowVersion": "0.1.1.1", - "genomeBuild": "GRCh38_hla_decoy_ebv", - "inputs": [ - { - "analysisType": "sequencing_alignment", - "tumourAnalysisId": "00000000-0000-0000-0000-0000000000599", - "normalAnalysisId": "00000000-0000-0000-0000-0000000000599" - } - ], - "runId": "RI0599", - "sessionId": "SI0599" - }, - "publication": { - "publication": "NAR", - "doi": "10.1093/nar/gkae188" - } - } - ``` - -
    - -#### The Submission Command - -First we will submit the JSON metadta file to Song using the song-client `submit` command: - - ```bash - docker exec song-client sh -c "sing submit -f /output/SP059902.vcf.json" - ``` - -#### Expected Error Response - -When submitting data, Song checks the metadata against the specified data model, identified by the analysisType field located on line 4 of the SP059902.vcf.json file. The error logs indicate that the submitted metadata does not conform to this data model: - - ```bash - SONG_SERVER_ERROR[schema.violation @ 1719691299284]: [SubmitService::schema.violation] - ##/collaborator/0: required key [name] not found,##/donor/primarySite: Windpipe is not a valid enum value - ``` - -**The error log tells us the following:** - -- We are missing the required `collaborator.name` field - -- The value `Windpipe` is not valid entry for the field `primarySite` - -**Addressing the missing field:** - -We will address our first error by updating our metadata payload with a collaborator `name`. To do this we will append lines 6 to 10 as follows: - - ```JSON - "collaborator": [ - { - "name": "IICR", - "contactEmail": "dataSubmitter@example.com" - } - ], - ``` - -Feel free to provide any name value you like, in this example we are submitting from the Imaginary Institute for Cancer Research (IICR). - -**Addressing the invalid value:** - -To address our second error we will have to take a look at the resources data model. For convenience we are providing the relevant Song schema below however, if you're interested in learning how to access this information through Songs API, we've provided additional instructions below. - -
    - View Song Schema - ```json - { - "name": "quickStartSchema", - "schema": { - "type": "object", - "required": ["donor", "specimen", "workflow", "experiment"], - "properties": { - "workflow": { - "propertyNames": { - "enum": ["workflowName", "workflowShortName", "workflowVersion", "genomeBuild", "inputs","sessionId","runId"] - }, - "required": ["workflowName", "genomeBuild", "inputs"], - "type": "object", - "properties": { - "workflowName": { - "type": "string", - "pattern": "^[a-zA-Z][a-zA-Z0-9 _\\-]+[a-zA-Z0-9]+$" - }, - "workflowShortName": { - "type": "string", - "pattern": "^[a-zA-Z][a-zA-Z0-9_\\-]+[a-zA-Z0-9]+$" - }, - "workflowVersion": { - "type": "string" - }, - "genomeBuild": { - "type": "string", - "enum": ["GRCh37", "GRCh38_hla_decoy_ebv", "GRCh38_Verily_v1"] - }, - "inputs": { - "type": "array", - "items": { - "type": "object", - "properties": { - "tumourAnalysisId": { - "type": "string", - "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{13}$" - }, - "normalAnalysisId": { - "type": "string", - "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{13}$" - }, - "analysisType": { - "type": "string" - } - } - }, - "minItems": 1, - "maxItems": 2 - }, - "runId": { - "type": "string" - }, - "sessionId": { - "type": "string", - "pattern": "SI[0-9]{4}" - } - } - }, - "experiment": { - "propertyNames": { - "enum": [ - "platform", - "experimentalStrategy", - "model", - "sequencingCenter", - "sequencingDate" - ] - }, - "required": ["platform", "experimentalStrategy"], - "type": "object", - "properties": { - "platform": { - "type": ["string", "null"] - }, - "experimentalStrategy": { - "type": ["string", "null"] - }, - "model": { - "type": ["string", "null"] - }, - "sequencingCenter": { - "type": ["string", "null"] - }, - "sequencingDate": { - "type": ["string", "null"], - "pattern": "^(-?(?:[1-9][0-9]*)?[0-9]{4})-(1[0-2]|0[1-9])-(3[01]|0[1-9]|[12][0-9])T(2[0-3]|[01][0-9]):([0-5][0-9]):([0-5][0-9])(.[0-9]+)?(Z|[+-](?:2[0-3]|[01][0-9]):[0-5][0-9])?$" - } - } - }, - "donor": { - "type": "object", - "propertyNames": { - "enum": [ - "submitterDonorId", - "primarySite", - "vitalStatus", - "survivalTime", - "causeOfDeath", - "primaryDiagnosis" - ] - }, - "required": ["submitterDonorId", "primarySite", "vitalStatus", "primaryDiagnosis"], - "properties": { - "submitterDonorId": { - "type": "string" - }, - "primarySite": { - "type": "string", - "enum": [ - "Accessory sinuses", - "Adrenal gland", - "Base of tongue", - "Bladder", - "Bones, joints and articular cartilage of limbs", - "Bones, joints and articular cartilage of other and unspecified sites", - "Brain", - "Breast", - "Bronchus and lung", - "Cervix uteri", - "Colon", - "Connective, subcutaneous and other soft tissues", - "Corpus uteri", - "Esophagus", - "Eye and adnexa", - "Floor of mouth", - "Gallbladder", - "Gum", - "Heart, mediastinum, and pleura", - "Hematopoietic and reticuloendothelial systems", - "Hypopharynx", - "Kidney", - "Larynx", - "Lip", - "Liver and intrahepatic bile ducts", - "Lymph nodes", - "Meninges", - "Nasal cavity and middle ear", - "Nasopharynx", - "Oropharynx", - "Other and ill-defined digestive organs", - "Other and ill-defined sites", - "Other and ill-defined sites in lip, oral cavity and pharynx", - "Other and ill-defined sites within respiratory system and intrathoracic organs", - "Other and unspecified female genital organs", - "Other and unspecified major salivary glands", - "Other and unspecified male genital organs", - "Other and unspecified parts of biliary tract", - "Other and unspecified parts of mouth", - "Other and unspecified parts of tongue", - "Other and unspecified urinary organs", - "Other endocrine glands and related structures", - "Ovary", - "Palate", - "Pancreas", - "Parotid gland", - "Penis", - "Peripheral nerves and autonomic nervous system", - "Placenta", - "Prostate gland", - "Pyriform sinus", - "Rectosigmoid junction", - "Rectum", - "Renal pelvis", - "Retroperitoneum and peritoneum", - "Skin", - "Small intestine", - "Spinal cord, cranial nerves, and other parts of central nervous system", - "Stomach", - "Testis", - "Thymus", - "Thyroid gland", - "Tonsil", - "Trachea", - "Ureter", - "Uterus, NOS", - "Vagina", - "Vulva" - ] - }, - "vitalStatus": { - "type": "string", - "enum": ["Alive", "Deceased"] - }, - "survivalTime": { - "type": ["null", "integer"], - "minimum": 0 - }, - "causeOfDeath": { - "type": ["null", "string"], - "enum": ["Died of cancer", "Died of other reasons", "Unknown", null] - }, - "primaryDiagnosis": { - "type": "array", - "minItems": 1, - "items": { - "type": "object", - "propertyNames": { - "enum": [ - "submitterPrimaryDiagnosisId", - "ageAtDiagnosis", - "cancerTypeCode", - "clinicalTumourStagingSystem", - "clinicalStageGroup", - "treatment", - "followUp" - ] - }, - "required": ["submitterPrimaryDiagnosisId", "ageAtDiagnosis", "cancerTypeCode"], - "properties": { - "submitterPrimaryDiagnosisId": { - "type": "string" - }, - "ageAtDiagnosis": { - "type": "integer", - "minimum": 0 - }, - "cancerTypeCode": { - "type": "string", - "pattern": "^[C|D][0-9]{2}(.[0-9]{1,3}[A-Z]{0,1})?$" - }, - "clinicalTumourStagingSystem": { - "type": "string", - "enum": [ - "AJCC 8th edition", - "AJCC 7th edition", - "AJCC 6th edition", - "Ann Arbor staging system", - "Binet staging system", - "Durie-Salmon staging system", - "FIGO staging system", - "Lugano staging system", - "Rai staging system", - "Revised International staging system (RISS)", - "St Jude staging system" - ] - }, - "clinicalStageGroup": { - "type": "string", - "enum": [ - "Occult Carcinoma", - "Stage 0", - "Stage 0a", - "Stage 0is", - "Stage 1", - "Stage 1A", - "Stage 1B", - "Stage A", - "Stage B", - "Stage C", - "Stage I", - "Stage IA", - "Stage IA1", - "Stage IA2", - "Stage IA3", - "Stage IAB", - "Stage IAE", - "Stage IAES", - "Stage IAS", - "Stage IB", - "Stage IB1", - "Stage IB2", - "Stage IBE", - "Stage IBES", - "Stage IBS", - "Stage IC", - "Stage IE", - "Stage IEA", - "Stage IEB", - "Stage IES", - "Stage II", - "Stage II bulky", - "Stage IIA", - "Stage IIA1", - "Stage IIA2", - "Stage IIAE", - "Stage IIAES", - "Stage IIAS", - "Stage IIB", - "Stage IIBE", - "Stage IIBES", - "Stage IIBS", - "Stage IIC", - "Stage IIE", - "Stage IIEA", - "Stage IIEB", - "Stage IIES", - "Stage III", - "Stage IIIA", - "Stage IIIA1", - "Stage IIIA2", - "Stage IIIAE", - "Stage IIIAES", - "Stage IIIAS", - "Stage IIIB", - "Stage IIIBE", - "Stage IIIBES", - "Stage IIIBS", - "Stage IIIC", - "Stage IIIC1", - "Stage IIIC2", - "Stage IIID", - "Stage IIIE", - "Stage IIIES", - "Stage IIIS", - "Stage IIS", - "Stage IS", - "Stage IV", - "Stage IVA", - "Stage IVA1", - "Stage IVA2", - "Stage IVAE", - "Stage IVAES", - "Stage IVAS", - "Stage IVB", - "Stage IVBE", - "Stage IVBES", - "Stage IVBS", - "Stage IVC", - "Stage IVE", - "Stage IVES", - "Stage IVS", - "Cannot be assessed" - ] - }, - "followUp": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": [ - "submitterFollowUpId", - "intervalOfFollowUp", - "diseaseStatusAtFollowUp", - "relapseType", - "submitterTreatmentId" - ] - }, - "required": [ - "submitterFollowUpId", - "intervalOfFollowUp", - "diseaseStatusAtFollowUp" - ], - "properties": { - "submitterFollowUpId": { - "type": "string" - }, - "submitterTreatmentId": { - "type": "string" - }, - "intervalOfFollowUp": { - "type": "integer", - "minimum": 0 - }, - "diseaseStatusAtFollowUp": { - "type": "string", - "enum": [ - "Complete remission", - "Distant progression", - "Loco-regional progression", - "No evidence of disease", - "Partial remission", - "Progression NOS", - "Relapse or recurrence", - "Stable" - ] - }, - "relapseType": { - "type": ["string", "null"], - "enum": [ - "Distant recurrence/metastasis", - "Local recurrence", - "Local recurrence and distant metastasis", - "Progression (liquid tumours)", - null - ] - } - } - } - }, - "treatment": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": [ - "submitterTreatmentId", - "treatmentType", - "treatmentStartInterval", - "treatmentDuration", - "responseToTreatment", - "chemotherapy", - "hormoneTherapy", - "radiation" - ] - }, - "required": ["submitterTreatmentId", "treatmentType"], - "properties": { - "submitterTreatmentId": { - "type": "string" - }, - "treatmentType": { - "type": "array", - "items": { - "type": "string", - "enum": [ - "Ablation", - "Bone marrow transplant", - "Chemotherapy", - "Endoscopic therapy", - "Hormonal therapy", - "No treatment", - "Other targeting molecular therapy", - "Photodynamic therapy", - "Radiation therapy", - "Stem cell transplant", - "Surgery" - ] - } - }, - "treatmentStartInterval": { - "type": "integer", - "minimum": 0 - }, - "treatmentDuration": { - "type": "integer", - "minimum": 0 - }, - "responseToTreatment": { - "type": "string", - "enum": [ - "Complete response", - "Disease progression", - "NED", - "Minor response", - "Partial response", - "Stable disease" - ] - }, - "chemotherapy": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": ["drugName"] - }, - "required": ["drugName"], - "properties": { - "drugName": { - "type": "string" - } - } - } - }, - "hormoneTherapy": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": ["drugName"] - }, - "required": ["drugName"], - "properties": { - "drugName": { - "type": "string" - } - } - } - }, - "radiation": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": ["radiationTherapyModality", "anatomicalSiteIrradiated"] - }, - "required": ["radiationTherapyModality", "anatomicalSiteIrradiated"], - "properties": { - "radiationTherapyModality": { - "type": "string", - "enum": ["Electron", "Heavy Ions", "Photon", "Proton"] - }, - "anatomicalSiteIrradiated": { - "type": "string", - "enum": [ - "Abdomen", - "Body", - "Brain", - "Chest", - "Head", - "Liver", - "Lower Limb", - "Lung", - "Neck", - "Pelvis", - "Skin", - "Spine", - "Thorax", - "Upper Limb" - ] - } - } - } - } - }, - "allOf": [ - { - "if": { - "properties": { - "treatmentType": { - "contains": { - "const": "Chemotherapy" - } - } - } - }, - "then": { - "required": ["chemotherapy"] - } - }, - { - "if": { - "properties": { - "treatmentType": { - "contains": { - "const": "Radiation therapy" - } - } - } - }, - "then": { - "required": ["radiation"] - } - }, - { - "if": { - "properties": { - "treatmentType": { - "contains": { - "const": "Hormonal therapy" - } - } - } - }, - "then": { - "required": ["hormoneTherapy"] - } - } - ] - } - } - } - } - } - }, - "if": { - "properties": { - "vitalStatus": { - "const": "Deceased" - } - } - }, - "then": { - "required": ["causeOfDeath", "survivalTime"] - } - }, - "specimen": { - "type": "object", - "propertyNames": { - "enum": [ - "submitterSpecimenId", - "submitterPrimaryDiagnosisId", - "specimenAnatomicLocation", - "tumourGradingSystem", - "tumourGrade" - ] - }, - "required": [ - "submitterSpecimenId", - "submitterPrimaryDiagnosisId", - "specimenAnatomicLocation" - ], - "properties": { - "submitterSpecimenId": { - "type": "string" - }, - "submitterPrimaryDiagnosisId": { - "type": "string" - }, - "specimenAnatomicLocation": { - "type": "string", - "pattern": "^[C][0-9]{2}(.[0-9]{1})?$" - }, - "tumourGradingSystem": { - "type": "string", - "enum": [ - "FNCLCC grading system", - "Four-tier grading system", - "Gleason grade group system", - "Grading system for GISTs", - "Grading system for GNETs", - "ISUP grading system", - "Nuclear grading system for DCIS", - "Scarff-Bloom-Richardson grading system", - "Three-tier grading system", - "Two-tier grading system", - "WHO grading system for CNS tumours" - ] - }, - "tumourGrade": { - "type": "string", - "enum": [ - "Low grade", - "High grade", - "GX", - "G1", - "G2", - "G3", - "G4", - "Low", - "High", - "Grade I", - "Grade II", - "Grade III", - "Grade IV", - "Grade Group 1", - "Grade Group 2", - "Grade Group 3", - "Grade Group 4", - "Grade Group 5" - ] - } - } - }, - "publication": { - "type": "object", - "propertyNames": { - "enum": ["publication", "doi"] - }, - "properties": { - "publication": { - "type": ["string", "null"] - }, - "doi": { - "type": ["string", "null"] - } - } - }, - "collaborator": { - "type": "array", - "items": { - "type": "object", - "propertyNames": { - "enum": [ - "name", - "contactEmail" - ] - }, - "required": [ - "name" - ], - "properties": { - "name": { - "type": "string" - }, - "contactEmail": { - "type": [ - "string", - "null" - ], - "pattern": "^\\S+@\\S+\\.\\S+$" - } - } - } - } - } - } - } - ``` -
    - -
    - Instructions on accessing the Schema using the Swagger UI click here - - 1. Go to Songs swagger UI located at `localhost:8080/swagger-ui.html` - 2. Select **Schema** and the **GET /schemas** endpoint - 3. Click try it out and execute - - ![Song Swagger](./images/song-swagger.png 'Song Swagger') - - The response body will provide you a JSON document outlining Songs data model. In this case we are interested in the `quickStartSchema` as it was the `analysisType` used for validation of our payload. - -
    - -By looking at the `primarySite` field found within the quickStartSchema, we can see an array of values that do not include `windpipe`; however, it does include the value `trachea`. - -Therefore, we can simply append the `windpipe` value on line 64 of our `SP059902.vcf.json` to `trachea`. - - ```JSON - "donor": { - "submitterDonorId": "DO0599", - "primarySite": "Trachea", - "vitalStatus": "Alive", - ``` - -**Resubmission:** - -Save and resubmit the corrected metadata file: - - ```bash - docker exec song-client sh -c "sing submit -f /output/SP059902.vcf.json" - ``` - -Now that your metadata file is correctly formatted, you should recieve a status of `OK` and a Song generated `analysisId` - - ```json - { - "analysisId": "4d9ed1c5-1053-4377-9ed1-c51053f3771f", - "status": "OK" - } - ``` - -An analysis ID is a randomly generated UUID created by Song; as such, yours will differ. Please note your analysis ID and use it for all subsequent steps referencing its usage. +An analysis ID is a randomly generated UUID, so yours will differ. Note it down; the next steps reference it. :::info **What is an analysis?** -Since the metadata data has successfully been submitted and accepted by Song and provided an analysis ID, it is now considered part of a Song analysis. To complete the analysis, we will need to upload its associated file data. +Once Song accepts and stores the metadata under an analysis ID, it is a Song analysis. To complete it, you upload its associated file data. ::: -### Generate a manifest +:::tip +If Song rejects the payload with a `schema.violation` error, the metadata does not match the `genomicVariants` schema. You can inspect the registered schema from Song's Swagger UI at `localhost:8080/swagger-ui.html` under **Schema**, then **GET /schemas**. -With your `analysis_id`, we will now generate a manifest for file upload. +![Song Swagger](./images/song-swagger.png 'Song Swagger') +::: -- The manifest establishes a link between the analysis ID that has been submitted and the data file(s) on your local system that is being uploaded. +## Generate a manifest -- This step also validates that all files being uploaded are in line with those documented in the metadata tagged with the corresponding analysis ID. +With your analysis ID, generate a manifest for file upload. The manifest links the analysis ID to the data files on disk and validates that the files match those declared in the metadata. -#### Manifest Command +Replace `{AnalysisId}` with the ID returned above: -Make sure to replace `{AnalysisId}` with your previously generated Song analysis ID +```bash +docker exec song-client sh -c "sing manifest -a {AnalysisId} -f /data/manifest.txt -d /data/files" +``` - ```bash - docker exec song-client sh -c "sing manifest -a {AnalysisId} -f /output/manifest.txt -d /output/" - ``` +Expected response: -The `manifest.txt` file will be written out to a defined output file path. If the output directory does not exist, it will be automatically created. +```bash +Wrote manifest file '/data/manifest.txt' for analysisId '4d9ed1c5-1053-4377-9ed1-c51053f3771f' +``` -#### Expected Response +## Upload files with Score - ```bash - Wrote manifest file '/output/manifest.txt' for analysisId '4d9ed1c5-1053-4377-9ed1-c51053f3771f' - ``` +Use the Score client `upload` command to transfer the file data to object storage using the manifest: -### Upload files with Score +```bash +docker exec score-client sh -c "score-client upload --manifest /data/manifest.txt" +``` -Use the following score-client upload command to transfer your file data to object storage using your previously generated manifest. +Score handles the multipart upload protocol (initiate, upload parts, verify, finalise) for each file. - ```bash - docker exec score-client sh -c "score-client upload --manifest /output/manifest.txt" - ``` +## Publish the analysis -#### Expected Response +The final step sets the analysis state to `PUBLISHED`. Publishing signals Maestro to index the data, making it available in the portal. - ```bash - Uploading object: '/output/SP059902.snv.vcf.gz.tbi' using the object id d7442418-7d59-5063-91d4-2e083549c9b2 - 100% [#########################] Parts: 1/1, Checksum: 100%, Write/sec: 2.0K/s, Read/sec: 0B/s - Finalizing... - Total execution time: 3.239 s - Total bytes read : 0 - Total bytes written : 141 - Upload completed - Uploading object: '/output/SP059902.snv.vcf.gz' using the object id 0e3ed34d-8f4d-554e-a23e-59b1ae60b75b - 100% [#########################] Parts: 1/1, Checksum: 100%, Write/sec: 1.3M/s, Read/sec: 0B/s - Finalizing... - Total execution time: 3.139 s - Total bytes read : 0 - Total bytes written : 17,246 - Upload completed - ``` +Replace `{AnalysisId}` with your analysis ID: -## Publishing analyses +```bash +docker exec song-client sh -c "sing publish -a {AnalysisId}" +``` -The final step in data submission is to set the state of the analysis to `PUBLISHED`. A published analysis signals Maestro to index the data making it available on the front end portal interface. +Expected response: -#### Publish Command +```bash +{"message":"AnalysisId 4d9ed1c5-1053-4377-9ed1-c51053f3771f successfully published"} +``` - ```bash - docker exec song-client sh -c "sing publish -a {AnalysisId}" - ``` +Maestro indexes the published analysis within a few seconds. Your uploaded data now appears in the portal at `localhost:3000`. -#### Expected Response +![Success](./images/success.png "Success") - ```bash - {"message":"AnalysisId 4d9ed1c5-1053-4377-9ed1-c51053f3771f successfully published"} - ``` +## Clean up -You should now be able to find you uploaded data on the front-end portal found at `localhost:3000/explorer` +Remove the client containers when finished: -![Success](./images/success.png "Success") +```bash +docker rm -f song-client score-client +``` :::tip **Help us make our guides better** From 3d5bffee4f732805488a81b6898e4c20a054678e Mon Sep 17 00:00:00 2001 From: Mitchell Shiell Date: Tue, 28 Jul 2026 16:00:41 -0400 Subject: [PATCH 09/28] first round review --- website/deploySidebars.ts | 4 +- website/developSidebars.ts | 121 +- ...agement-storage.md => 02-file-transfer.md} | 43 +- ...-search-portal.md => 03-search-portal.mdx} | 142 +- .../04-tabular-data-submission.md | 120 + .../03-deployment/05-mcp-server.md | 53 + .../docs/deploy-docs/03-deployment/index.md | 4 +- website/docs/deploy-docs/index.md | 4 +- website/docs/use-docs/02-cli-downloads.md | 39 + website/docs/use-docs/03-cli-submissions.md | 77 +- ...naries.md => 01-building-dictionaries.mdx} | 16 +- ...chemas.md => 02-building-song-schemas.mdx} | 12 + ....md => 03-customizing-the-data-portal.mdx} | 14 + ...ndex-mappings.md => 04-index-mappings.mdx} | 116 +- .../01-testing-environment.md | 68 +- .../02-connect-a-host.md | 16 +- .../04-use-cases.md | 6 +- .../05-deploy-your-own-mcp-server.md | 29 +- .../ai-assisted-data-discovery/image.png | Bin 0 -> 1562960 bytes .../ai-assisted-data-discovery/index.md | 33 +- website/docs/use-docs/images/bigpicture.png | Bin 0 -> 1562960 bytes website/docs/use-docs/images/cdd.png | Bin 0 -> 132264 bytes website/docs/use-docs/images/integration.png | Bin 0 -> 786067 bytes .../use-docs/images/researcher-workflow.png | Bin 0 -> 462545 bytes website/docs/use-docs/index.mdx | 4 +- website/docs/use-docs/workshop/00-Intro.md | 98 +- .../use-docs/workshop/01-Running-the-Demo.md | 44 +- .../docs/use-docs/workshop/02-Architecture.md | 6 +- .../workshop/05-Docker-Configuration.md | 32 +- .../use-docs/workshop/07-Troubleshooting.md | 6 +- website/docsPlugin.ts | 73 +- website/docusaurus.config.ts | 14 +- website/package-lock.json | 4965 +++++++++++------ website/package.json | 14 + .../src/components/ConfigGenerator/index.tsx | 310 + .../ConfigGenerator/lib/csvParser.ts | 40 + .../lib/generateArrangerConfigs.ts | 83 + .../ConfigGenerator/lib/generateConfigs.ts | 58 + .../ConfigGenerator/lib/generateEsMapping.ts | 53 + .../lib/generateLecternDictionary.ts | 77 + .../lib/generatePostgresTable.ts | 45 + .../ConfigGenerator/lib/inferTypes.ts | 82 + .../ConfigGenerator/styles.module.css | 238 + .../DictionaryPlayground/Playground.tsx | 335 ++ .../components/DictionaryPlayground/index.tsx | 43 + .../DictionaryPlayground/styles.module.css | 244 + .../DictionaryPlayground/templates.ts | 973 ++++ .../SongSchemaPlayground/Playground.tsx | 402 ++ .../components/SongSchemaPlayground/index.tsx | 42 + .../lib/generateSongSchema.ts | 99 + .../lib/validateSongSchema.ts | 164 + .../SongSchemaPlayground/styles.module.css | 369 ++ .../SongSchemaPlayground/templates.ts | 116 + .../components/SwaggerAPIDoc/lyricAPI.json | 2 +- website/useSidebars.ts | 2 +- 55 files changed, 7885 insertions(+), 2065 deletions(-) rename website/docs/deploy-docs/03-deployment/{02-data-management-storage.md => 02-file-transfer.md} (93%) rename website/docs/deploy-docs/03-deployment/{03-search-portal.md => 03-search-portal.mdx} (70%) create mode 100644 website/docs/deploy-docs/03-deployment/04-tabular-data-submission.md create mode 100644 website/docs/deploy-docs/03-deployment/05-mcp-server.md rename website/docs/use-docs/administration/{01-building-dictionaries.md => 01-building-dictionaries.mdx} (63%) rename website/docs/use-docs/administration/{02-building-song-schemas.md => 02-building-song-schemas.mdx} (94%) rename website/docs/use-docs/administration/{03-customizing-the-data-portal.md => 03-customizing-the-data-portal.mdx} (88%) rename website/docs/use-docs/administration/{04-index-mappings.md => 04-index-mappings.mdx} (65%) create mode 100644 website/docs/use-docs/ai-assisted-data-discovery/image.png create mode 100644 website/docs/use-docs/images/bigpicture.png create mode 100644 website/docs/use-docs/images/cdd.png create mode 100644 website/docs/use-docs/images/integration.png create mode 100644 website/docs/use-docs/images/researcher-workflow.png create mode 100644 website/src/components/ConfigGenerator/index.tsx create mode 100644 website/src/components/ConfigGenerator/lib/csvParser.ts create mode 100644 website/src/components/ConfigGenerator/lib/generateArrangerConfigs.ts create mode 100644 website/src/components/ConfigGenerator/lib/generateConfigs.ts create mode 100644 website/src/components/ConfigGenerator/lib/generateEsMapping.ts create mode 100644 website/src/components/ConfigGenerator/lib/generateLecternDictionary.ts create mode 100644 website/src/components/ConfigGenerator/lib/generatePostgresTable.ts create mode 100644 website/src/components/ConfigGenerator/lib/inferTypes.ts create mode 100644 website/src/components/ConfigGenerator/styles.module.css create mode 100644 website/src/components/DictionaryPlayground/Playground.tsx create mode 100644 website/src/components/DictionaryPlayground/index.tsx create mode 100644 website/src/components/DictionaryPlayground/styles.module.css create mode 100644 website/src/components/DictionaryPlayground/templates.ts create mode 100644 website/src/components/SongSchemaPlayground/Playground.tsx create mode 100644 website/src/components/SongSchemaPlayground/index.tsx create mode 100644 website/src/components/SongSchemaPlayground/lib/generateSongSchema.ts create mode 100644 website/src/components/SongSchemaPlayground/lib/validateSongSchema.ts create mode 100644 website/src/components/SongSchemaPlayground/styles.module.css create mode 100644 website/src/components/SongSchemaPlayground/templates.ts diff --git a/website/deploySidebars.ts b/website/deploySidebars.ts index de88ab85..013698cd 100644 --- a/website/deploySidebars.ts +++ b/website/deploySidebars.ts @@ -10,8 +10,10 @@ const sidebars: SidebarsConfig = { deploySidebar: [ "index", "deployment/authorization", - "deployment/data-management-storage", + "deployment/file-transfer", + "deployment/tabular-data-submission", "deployment/search-portal", + "deployment/mcp-server", ], }; diff --git a/website/developSidebars.ts b/website/developSidebars.ts index 1faf7288..64aee4a8 100644 --- a/website/developSidebars.ts +++ b/website/developSidebars.ts @@ -1,43 +1,98 @@ import type { SidebarsConfig } from "@docusaurus/plugin-content-docs"; -// Each component's docs are vendored from its own submodule (symlinked), so we -// can't drop a _category_.json inside them to set the sidebar label. Instead -// each is wired up explicitly here, paired as "Overture name (functional -// name)" per the site map convention. -const components: Array<{ dirName: string; id: string; label: string }> = [ - { - dirName: "01-Lectern", - id: "Lectern", - label: "Lectern - Dictionary Management", - }, - { dirName: "02-Lyric", id: "Lyric", label: "Lyric - Data Management" }, - { dirName: "03-Song", id: "Song", label: "Song - File Management" }, - { dirName: "04-Score", id: "Score", label: "Score - File Transfer" }, - { dirName: "05-Maestro", id: "Maestro", label: "Maestro - Indexing" }, - { dirName: "06-Arranger", id: "Arranger", label: "Arranger - Search" }, - { dirName: "07-Stage", id: "Stage", label: "Stage - Portal UI" }, -]; - const sidebars: SidebarsConfig = { - buildSidebar: [ + useSidebar: [ "index", - ...components.map(({ dirName, id, label }) => ({ - type: "category" as const, - // Scoped by className so the "Overture name (functional name)" pairing - // (long enough to wrap on some of these) can get its own sidebar - // styling in custom.css without affecting other sidebars. - className: "sidebar-component-item", - label, - link: { type: "doc" as const, id: `${id}/overview` }, - items: [{ type: "autogenerated" as const, dirName }], - })), + + { + type: "category", + label: "File Transfer", + collapsible: false, + className: "sidebar-section-heading", + items: [ + { + type: "category", + label: "Song", + link: { + type: "doc", + id: "Song/overview", + }, + items: [{ type: "autogenerated", dirName: "03-Song" }], + }, + { + type: "category", + label: "Score", + link: { + type: "doc", + id: "Score/overview", + }, + items: [{ type: "autogenerated", dirName: "04-Score" }], + }, + ], + }, + + { + type: "category", + label: "Tabular Data Submission", + collapsible: false, + className: "sidebar-section-heading", + items: [ + { + type: "category", + label: "Lectern", + link: { + type: "doc", + id: "Lectern/overview", + }, + items: [{ type: "autogenerated", dirName: "01-Lectern" }], + }, + { + type: "category", + label: "Lyric", + link: { + type: "doc", + id: "Lyric/overview", + }, + items: [{ type: "autogenerated", dirName: "02-Lyric" }], + }, + { + type: "category", + label: "Maestro", + link: { + type: "doc", + id: "Maestro/overview", + }, + items: [{ type: "autogenerated", dirName: "05-Maestro" }], + }, + ], + }, + { type: "category", - label: "API Reference", - link: { type: "doc", id: "api-reference/index" }, - items: [{ type: "autogenerated", dirName: "08-api-reference" }], + label: "Search Portal", + collapsible: false, + className: "sidebar-section-heading", + items: [ + { + type: "category", + label: "Arranger", + link: { + type: "doc", + id: "Arranger/overview", + }, + items: [{ type: "autogenerated", dirName: "06-Arranger" }], + }, + { + type: "category", + label: "Stage", + link: { + type: "doc", + id: "Stage/overview", + }, + items: [{ type: "autogenerated", dirName: "07-Stage" }], + }, + ], }, - "contributing", ], }; diff --git a/website/docs/deploy-docs/03-deployment/02-data-management-storage.md b/website/docs/deploy-docs/03-deployment/02-file-transfer.md similarity index 93% rename from website/docs/deploy-docs/03-deployment/02-data-management-storage.md rename to website/docs/deploy-docs/03-deployment/02-file-transfer.md index 065666bb..d7571c8f 100644 --- a/website/docs/deploy-docs/03-deployment/02-data-management-storage.md +++ b/website/docs/deploy-docs/03-deployment/02-file-transfer.md @@ -1,6 +1,6 @@ -# Data Management & Storage +# File Transfer -Song, Score, and the services they depend on (Postgres, MinIO, and Kafka) will be set up next. These Overture services will manage, track, and store all our data on the backend. +Song, Score, and the services they depend on (Postgres, MinIO, and Kafka) will be set up next. These Overture services move and store file data and its metadata on the backend: Score handles file transfer to and from object storage, and Song tracks the associated metadata. ## Setting up Object Storage @@ -222,7 +222,7 @@ Song is our data cataloging system. It will provide submission validations and t SPRING_DATASOURCE_USERNAME=admin SPRING_DATASOURCE_PASSWORD=admin123 # Kafka Variables - SPRING_KAFKA_BOOTSTRAPSERVERS=http://kafka:9092 + SPRING_KAFKA_BOOTSTRAPSERVERS=kafka:9092 SPRING_KAFKA_TEMPLATE_DEFAULTTOPIC=song-analysis # Swagger Variable SWAGGER_ALTERNATEURL=/swagger-api @@ -251,13 +251,13 @@ Song is our data cataloging system. It will provide submission validations and t #### Song Variables - - The `ID_USELOCAL` mode indicates that Song will handle ID management internally, storing identifiers within its own system. Song can also be configured to use external ID management, for more information see our documentation for [ID management in Song](/). + - The `ID_USELOCAL` mode indicates that Song will handle ID management internally, storing identifiers within its own system. Song can also be configured to use external ID management, for more information see our documentation for [ID management in Song](/develop/Song/Reference/id-management). - - By setting `SCHEMAS_ENFORCELATEST` to `true`, the Song server will enforce that data conforms to the latest schema versions. Conversely, if set to `false`, data can be submitted to any schema version specified with the metadata submission. For more information, see our [documentation on Song Schema Management](/). + - By setting `SCHEMAS_ENFORCELATEST` to `true`, the Song server will enforce that data conforms to the latest schema versions. Conversely, if set to `false`, data can be submitted to any schema version specified with the metadata submission. For more information, see our [documentation on Song Schema Management](/develop/Song/Reference/data-model-management). #### Score Variables - - The `SCORE_URL` specifies the future URL of the Score service (`http://host.docker.internal:8087`). + - The `SCORE_URL` specifies the future URL of the Score service (`http://score:8087`). - The `SCORE_ACCESSTOKEN` is used by Song for authorized communication with Score. For example, during data publication Song will need to call Score to check if objects exist before publishing this access token, generated by Keycloak, encodes the permissions necessary to communicate securely. @@ -295,7 +295,7 @@ Song is our data cataloging system. It will provide submission validations and t #### Custom Swagger URL - - `SWAGGER_ALTERNATEURL` specifies a custom URL for accessing the Swagger UI (`/swagger-ui`). + - `SWAGGER_ALTERNATEURL` specifies a custom URL for accessing the Swagger UI (`/swagger-api`).
    @@ -307,10 +307,10 @@ Song is our data cataloging system. It will provide submission validations and t --platform linux/amd64 \ -p 8080:8080 \ --env-file .env.song \ - ghcr.io/overture-stack/song-server:5.2.0 + ghcr.io/overture-stack/song-server:fc479c13 ``` - Once running you should be able to access the Song Swagger UI from `http://localhost:8080/swagger-ui` + Once running you should be able to access the Song Swagger UI from `http://localhost:8080/swagger-api` ## Running Score @@ -324,7 +324,7 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat # ============================== # Spring Variables - SPRING_PROFILES_ACTIVE=default,collaboratory,prod,secure,jwt + SPRING_PROFILES_ACTIVE=default,s3,prod,secure SERVER_PORT=8087 # Song Variable METADATA_URL=http://song:8080 @@ -348,13 +348,13 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat AUTH_SERVER_TOKENNAME=apiKey AUTH_SERVER_KEYCLOAK_HOST=http://keycloak:8080 AUTH_SERVER_KEYCLOAK_REALM=myrealm - AUTH_SERVER_SCOPE_STUDY_PREFIX=STUDY. - AUTH_SERVER_SCOPE_DOWNLOAD_SUFFIX=.READ + AUTH_SERVER_SCOPE_DOWNLOAD_STUDY_PREFIX=STUDY. + AUTH_SERVER_SCOPE_DOWNLOAD_STUDY_SUFFIX=.READ AUTH_SERVER_SCOPE_DOWNLOAD_SYSTEM=score.READ + AUTH_SERVER_SCOPE_UPLOAD_STUDY_PREFIX=STUDY. + AUTH_SERVER_SCOPE_UPLOAD_STUDY_SUFFIX=.WRITE AUTH_SERVER_SCOPE_UPLOAD_SYSTEM=score.WRITE - AUTH_SERVER_SCOPE_UPLOAD_SUFFIX=.WRITE - AUTH_SERVER_URL=http://keycloak:8080/realms/myrealm/apikey/check_api_key/ - AUTH_JWT_PUBLICKEYURL=http://keycloak:8080/oauth/token/public_key + AUTH_SERVER_URL=http://keycloak:8080/realms/myrealm/apikey/check_api_key/ SPRING_SECURITY_OAUTH2_RESOURCESERVER_JWT_JWK_SET_URI=http://keycloak:8080/realms/myrealm/protocol/openid-connect/certs ``` @@ -367,10 +367,9 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat | Profile | Description | |---------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| - | `collaboratory` | Configures the service for use with an S3 backend. | + | `s3` | Configures the service for use with an S3-compatible backend. | | `prod` | Optimizes the service for production use, enabling S3 security features and specifying the metadata server URL. | | `secure` | Implements OAuth authentication, specifying the authentication server URL, token name, client ID, client secret, and scopes for download and upload operations. | - | `JWT` | The JWT (JSON Web Token) profile is used to configure the authentication method based on JWT. This profile includes settings to obtain the public key for token validation from an OAuth server. | #### Song & Score Variables @@ -380,7 +379,7 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat #### Object Storage Variables - - `S3_ENDPOINT`, `S3_ACCESSKEY`, `S3_SECRETKEY`, `BUCKET_NAME_OBJECT`, `BUCKET_NAME_STATE` defines access to object storage, including the endpoint (`minio:9001`), access key (`admin`), secret key (`admin123`), bucket names for objects (`object`) and state (`state`). + - `S3_ENDPOINT`, `S3_ACCESSKEY`, `S3_SECRETKEY`, `BUCKET_NAME_OBJECT`, `BUCKET_NAME_STATE` defines access to object storage, including the endpoint (`minio:9000`), access key (`admin`), secret key (`admin123`), bucket names for objects (`object`) and state (`state`). - `UPLOAD_PARTSIZE` specifies the maximum size of individual parts when uploading large files to an object storage service. Large files are typically split into smaller parts to facilitate parallel uploads and to manage network bandwidth efficiently. If network bandwidth is limited, smaller part sizes might be beneficial to keep the upload process moving quickly. On the other hand, if the application requires high throughput and can afford to wait longer for uploads to complete, larger part sizes might be preferable. @@ -390,7 +389,7 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat - **Authentication Configuration**: Specifies the authentication server provider (`Keycloak`), the Keycloak server's host (`http://keycloak:8080`), and the realm (`myrealm`) that contains the users and roles. This setup is crucial for securing applications by directing them to the correct Keycloak instance and realm for authentication and authorization processes. - - **Token and Client Details**: Defines the token name (`apiKey`), client ID (`score`), and client secret (`scoresecret`) used for authentication. These elements are essential for establishing a secure connection between the application and the Keycloak server, ensuring that only authorized applications can access protected resources. + - **Token and Client Details**: Defines the token name (`apiKey`), client ID (`dms`), and the client secret configured in your `.env.score` used for authentication. These elements are essential for establishing a secure connection between the application and the Keycloak server, ensuring that only authorized applications can access protected resources. - **Scope Definitions**: Outlines the scopes for study, download, and upload operations, specifying prefixes and suffixes that indicate the level of access granted to the token holder. These scopes are critical for defining the permissions associated with the tokens, controlling what actions can be performed by the authenticated users. @@ -409,4 +408,8 @@ Score is a fault-tolerant multi-part parallel transfer service made to facilitat ghcr.io/overture-stack/score-server:5.11.0 ``` - Once running you should be able to access the Score Swagger UI from `http://localhost:8087/swagger-ui` + Once running you should be able to access the Score Swagger UI from `http://localhost:8087/swagger-ui.html` + +:::note Verified against +This guide was verified against **Song** `5.1.2-SNAPSHOT` (`2de5c0d`) and **Score** `5.12.0-SNAPSHOT` (`174ed13`) on 2026-07-28. Newer releases may differ. +::: diff --git a/website/docs/deploy-docs/03-deployment/03-search-portal.md b/website/docs/deploy-docs/03-deployment/03-search-portal.mdx similarity index 70% rename from website/docs/deploy-docs/03-deployment/03-search-portal.md rename to website/docs/deploy-docs/03-deployment/03-search-portal.mdx index d7c06704..9e23a2da 100644 --- a/website/docs/deploy-docs/03-deployment/03-search-portal.md +++ b/website/docs/deploy-docs/03-deployment/03-search-portal.mdx @@ -1,8 +1,19 @@ # Data Portal -Setting up your data portal involves configuring and running Elasticsearch, Maestro, Arranger and Stage. Below are the steps and breakdowns to ensure a smooth setup process. +Setting up your data portal involves configuring and running a search engine (Elasticsearch or OpenSearch), Maestro, Arranger and Stage. Below are the steps and breakdowns to ensure a smooth setup process. -## Setting up Elasticsearch +## Setting up your search engine + +Overture's search platform runs on either Elasticsearch or OpenSearch. Maestro indexes your metadata into whichever engine you choose, and Arranger generates the search API and UI components on top of it. The steps below are given for both engines; follow the tab for the one you are running. + +:::note Supported search engines + +Arranger supports **OpenSearch 1.x or higher** and **Elasticsearch 7.x** (minimum 7.0, licensed or default distribution only; ES OSS and ES 8.x are not supported; the bundled client is `@elastic/elasticsearch` v7). OpenSearch maintains API compatibility with Elasticsearch 7.x, so the index templates, mappings, and queries in this guide apply to both engines unchanged. + +::: + + + 1. **Run Elasticsearch:** Use the following command to pull and run the Elasticsearch docker container @@ -46,8 +57,6 @@ Setting up your data portal involves configuring and running Elasticsearch, Maes ::: -Would you like me to explain any specific Elasticsearch 7 features or compatibility considerations in more detail? - 2. **Supply an index template:** Create a folder titled `elasticsearchConfigs` Download and place the following **[quickstart_index_template.json](https://raw.githubusercontent.com/overture-stack/composer/develop/configurationFiles/elasticsearchConfigs/quickstart_index_template.json)** within your `elasticsearchConfigs` folder. This file specifies settings, mappings, and configurations that will be applied automatically to new indices that match the template's pattern @@ -76,8 +85,86 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil Any index alias that starts with `overture-` will use the mapping of the index template we initially provided. This is defined on [line two of our `quickstart_index_template`](https://github.com/overture-stack/composer/blob/develop/configurationFiles/elasticsearchConfigs/quickstart_index_template.json#L2). ::: + + + +1. **Run OpenSearch:** Use the following command to pull and run the OpenSearch docker container + + ```bash + docker run -d --name opensearch \ + -p 9200:9200 \ + -e discovery.type=single-node \ + -e cluster.name=workflow.opensearch \ + -e OPENSEARCH_JAVA_OPTS="-Xms512m -Xmx2048m" \ + -e DISABLE_SECURITY_PLUGIN=true \ + -e DISABLE_INSTALL_DEMO_CONFIG=true \ + opensearchproject/opensearch:2.17.1 + ``` + +
    + Click here for a detailed breakdown + + - `-p 9200:9200` maps port 9200 of the host to port 9200 of the container + + - `-e discovery.type=single-node` runs OpenSearch as a standalone node, bypassing cluster discovery and formation, ideal for development, testing, or small-scale deployments where clustering is not necessary + + - `-e cluster.name=workflow.opensearch` names the cluster, good practice in case you choose to run multiple clusters or nodes in the future + + - `-e OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx2048m` sets the initial (`-Xms512m`, 512 MB) and maximum (`-Xmx2048m`, 2 GB) heap size for the JVM running OpenSearch. This is the OpenSearch equivalent of Elasticsearch's `ES_JAVA_OPTS` + + - `-e DISABLE_SECURITY_PLUGIN=true` turns off the OpenSearch security plugin so the REST API is served over plain HTTP with no TLS and no admin password. This keeps the `curl`, Maestro, and Arranger configuration in this guide identical to the Elasticsearch path + + - `-e DISABLE_INSTALL_DEMO_CONFIG=true` skips installing the demo security certificates and users, which are not needed when the security plugin is disabled + +
    + + :::warning OpenSearch configuration notes + + - OpenSearch 2.x serves the Elasticsearch 7.x style index templates and queries used throughout this guide, so the index template and mapping files work unchanged. + + - Do not set `compatibility.override_main_response_version`. It hides `version.distribution` from the `GET /` response, which causes Arranger to auto-detect the Elasticsearch client instead of OpenSearch and fail to initialize. + + - Disabling the security plugin is only appropriate for a localhost-bound development instance. On any network-exposed deployment, keep the security plugin enabled and connect over HTTPS with credentials. + + ::: + +2. **Supply an index template:** Create a folder titled `elasticsearchConfigs` + + Download and place the following **[quickstart_index_template.json](https://raw.githubusercontent.com/overture-stack/composer/develop/configurationFiles/elasticsearchConfigs/quickstart_index_template.json)** within your `elasticsearchConfigs` folder. This is the same template used for Elasticsearch; OpenSearch applies it without changes. + + :::info Learn More + If you'd like to learn more about creating an index mapping for your own data see our [administration guide on configuring the index mapping](/use/administration/index-mappings). + ::: + +3. **Initialize your index:** Run the following scripts to set up your OpenSearch cluster + + Update OpenSearch with your index template using the following `curl` command: + + ```bash + curl -X PUT 'http://localhost:9200/_template/index_template' -H 'Content-Type: application/json' -d ./elasticsearchConfigs/quickstart_index_template.json + ``` + + Create a new alias in OpenSearch using the following `curl` command: + + ```bash + curl -X PUT 'http://localhost:9200/overture-quickstart-index' + ``` + + With the security plugin disabled these requests need no credentials. If successful you should be able to view the updated index in your browser from `http://localhost:9200/overture-quickstart-index`. + + :::info How this works + Any index alias that starts with `overture-` will use the mapping of the index template we initially provided. This is defined on [line two of our `quickstart_index_template`](https://github.com/overture-stack/composer/blob/develop/configurationFiles/elasticsearchConfigs/quickstart_index_template.json#L2). + ::: + +     +     + ## Running Maestro +:::info Using OpenSearch +Maestro communicates with the search engine over the Elasticsearch 7.x REST API, which OpenSearch 2.x also serves, so the same `MAESTRO_ELASTICSEARCH_*` variables below drive an OpenSearch cluster. Point `MAESTRO_ELASTICSEARCH_CLUSTER_NODES` at your OpenSearch node (for example `http://opensearch:9200`), and if you disabled the OpenSearch security plugin as shown above, set `MAESTRO_ELASTICSEARCH_CLIENT_BASICAUTH_ENABLED=false` since no credentials are required. +::: + 1. **Create an env file:** Create a file named `.env.maestro` with the following content: ```bash @@ -100,7 +187,7 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil MAESTRO_ELASTICSEARCH_CLUSTER_NODES=http://elasticsearch:9200 MAESTRO_ELASTICSEARCH_CLIENT_BASICAUTH_USER=elastic MAESTRO_ELASTICSEARCH_CLIENT_BASICAUTH_PASSWORD=myelasticpassword - MAESTRO_ELASTICSEARCH_CLIENT_TRUSTSELFSIGNCERT=true + MAESTRO_ELASTICSEARCH_CLIENT_TRUSTSELFSIGNEDCERT=true MAESTRO_ELASTICSEARCH_INDEXES_ANALYSISCENTRIC_ENABLED=false MAESTRO_ELASTICSEARCH_INDEXES_FILECENTRIC_ENABLED=true MAESTRO_ELASTICSEARCH_INDEXES_FILECENTRIC_NAME=overture-quickstart-index @@ -142,9 +229,9 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil #### Elasticsearch Variables - - `MAESTRO_ELASTICSEARCH_INDEXES_ANALYSISCENTRIC_ENABLED` set to `true` specifying that analysis-centric indices are to be expected + - `MAESTRO_ELASTICSEARCH_INDEXES_ANALYSISCENTRIC_ENABLED` set to `false` specifying that analysis-centric indices are not to be expected - - `MAESTRO_ELASTICSEARCH_INDEXES_FILECENTRIC_ENABLED` set to `false` specifying to Maestro that file-centric indices are not to be expected + - `MAESTRO_ELASTICSEARCH_INDEXES_FILECENTRIC_ENABLED` set to `true` specifying to Maestro that file-centric indices are to be expected - `MAESTRO_ELASTICSEARCH_CLIENT_BASICAUTH_ENABLED` enables basic authentication for the Elasticsearch client @@ -186,6 +273,10 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil ## Running Arranger +:::info Using OpenSearch +Set `SEARCH_ENGINE=opensearch` and point `ES_HOST` at your OpenSearch node (for example `http://opensearch:9200`). The `ES_HOST`, `ES_USER`, and `ES_PASS` variables apply to both engines; the credentials are ignored when the OpenSearch security plugin is disabled. Leaving `SEARCH_ENGINE` unset makes Arranger auto-detect the engine from the cluster. +::: + 1. **Create an env file:** Create a file named `.env.arranger` with the following content: ```bash @@ -195,13 +286,13 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil # Arranger Variables ENABLE_LOGS=false - # Elasticsearch Variables + # Directory holding the per-catalogue config files (mounted below) + CONFIGS_PATH=/configs + # Elasticsearch / OpenSearch Variables ES_HOST=http://elasticsearch:9200 ES_USER=elastic ES_PASS=myelasticpassword - # Stage Variables - REACT_APP_BASE_URL=http://stage:3000 - REACT_APP_ARRANGER_ADMIN_ROOT=http://arranger-server:5050/graphql + SEARCH_ENGINE=elasticsearch ``` 2. **Create a folder titled `arrangerConfigs` and place the following configuration files within it:** @@ -209,7 +300,6 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil - The **[base.json](https://github.com/overture-stack/composer/blob/develop/configurationFiles/arrangerConfigs/base.json)**, containing the base configuration for the Arranger server - The **[extended.json](https://github.com/overture-stack/composer/blob/develop/configurationFiles/arrangerConfigs/extended.json)**, containing all possible fields inputted into arranger - The **[facets.json](https://github.com/overture-stack/composer/blob/develop/configurationFiles/arrangerConfigs/facets.json)**, defines the facets found within the facet panel of the data exploration page in Stage - - The **[matchbox.json](https://github.com/overture-stack/composer/blob/develop/configurationFiles/arrangerConfigs/matchbox.json)**, containing matchbox configuration settings - The **[table.json](https://github.com/overture-stack/composer/blob/develop/configurationFiles/arrangerConfigs/table.json)**, defines the formatting of the tables found on the data exploration page in Stage 3. **Run Arranger:** Use the docker run command with your `.env.arranger` file: @@ -218,12 +308,8 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil docker run --env-file .env.arranger \ --name arranger-server \ -p 5050:5050 \ - -v ./arrangerConfigs/base.json:/app/modules/server/configs/base.json \ - -v ./arrangerConfigs/extended.json:/app/modules/server/configs/extended.json \ - -v ./arrangerConfigs/facets.json:/app/modules/server/configs/facets.json \ - -v ./arrangerConfigs/matchbox.json:/app/modules/server/configs/matchbox.json \ - -v ./arrangerConfigs/table.json:/app/modules/server/configs/table.json \ - ghcr.io/overture-stack/arranger-server:3.0.0-beta.33 + -v ./arrangerConfigs:/configs \ + ghcr.io/overture-stack/arranger-search-server:3.1.0-rc.2 ``` Make sure to confirm the `./arrangerConfigs/` path aligns with the actual paths to your Arranger-Server configuration files, update your command or folder structure accordingly. @@ -237,20 +323,19 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil - `ES_USER` and `ES_PASS` are the credentials for accessing Elasticsearch - - `REACT_APP_BASE_URL` is the base URL for your front-end application, in this case Stage, which we will set up next + - `SEARCH_ENGINE` selects the search backend, either `elasticsearch` or `opensearch` - - `REACT_APP_ARRANGER_ADMIN_ROOT` is the URL for the Arranger GraphQL endpoint + - `CONFIGS_PATH` is the directory inside the container that holds the per-catalogue config files (matched by the volume mount below) ### When running Arranger: - `-p 5050:5050` maps port 5050 of the host to port 5050 of the container. - - `-v ./arrangerConfigs/...:/app/modules/server/configs/...` mounts configuration files into the container + - `-v ./arrangerConfigs:/configs` mounts the config directory into the container (matched by `CONFIGS_PATH`) - `base.json` contains the base configuration for the Arranger server - `extended.json` contains all possible fields inputted into arranger - `facets.json` defines the facets found within the facet panel of the data exploration page in Stage - `table.json` defines the formatting of the tables found on the data exploration page in Stage - - `matchbox.json` contains matchbox configuration settings
    @@ -272,7 +357,6 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil NEXT_PUBLIC_LAB_NAME=Overture QuickStart Portal NEXT_PUBLIC_ADMIN_EMAIL=contact@overture.bio NEXT_PUBLIC_DEBUG=true - NEXT_PUBLIC_SHOW_MOBILE_WARNING=true # Keycloak Variables NEXT_PUBLIC_AUTH_PROVIDER=keycloak ACCESSTOKEN_ENCRYPTION_SECRET=super_secret @@ -282,8 +366,6 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil NEXT_PUBLIC_KEYCLOAK_CLIENT_ID=webclient KEYCLOAK_CLIENT_SECRET=ikksyrYaKX07acf4hpGrpKWcUGaFkEdM NEXT_PUBLIC_KEYCLOAK_PERMISSION_AUDIENCE=dms - # Score Variables - NEXT_PUBLIC_SCORE_API_URL=http://score:8087 # Arranger Variables NEXT_PUBLIC_ARRANGER_DOCUMENT_TYPE=file NEXT_PUBLIC_ARRANGER_INDEX=file_centric @@ -316,10 +398,6 @@ Would you like me to explain any specific Elasticsearch 7 features or compatibil - `NEXT_PUBLIC_KEYCLOAK_PERMISSION_AUDIENCE` specifies the audience for the permission claims in the access token, restricting the scope of access granted to the token - #### Score Variables - - - `NEXT_PUBLIC_SCORE_API_URL` is the URL of the Score API, which the application uses to communicate with the Score service - #### Arranger Variables - `NEXT_PUBLIC_ARRANGER_DOCUMENT_TYPE` indexes can be either file centric or analysis (participant) centric, the document type variable specifies which of these configurations is true @@ -365,9 +443,13 @@ API Keys are brokered by Keycloak and accessible when logged in to the Stage UI --platform linux/amd64 \ -p 8080:8080 \ --env-file .env.song \ - ghcr.io/overture-stack/song-server:438c2c42 + ghcr.io/overture-stack/song-server:fc479c13 ``` :::tip Next Steps Now that you have the end-to-end portal setup we recommend you check out our [administration guide on building Song schemas](/use/administration/building-song-schemas). ::: + +:::note Verified against +This guide was verified against **Maestro** `4.3.0` (`d831878`), **Arranger** image `arranger-search-server:3.1.0-rc.2` (checkout `8e84b4b`), and **Stage** `1.1.3` (`2072033`) on 2026-07-28. The Elasticsearch path was verified with Elasticsearch `7.17.1`; the OpenSearch configuration mirrors the verified AI-assisted discovery stack (`opensearchproject/opensearch:2.17.1`). Newer releases may differ. +::: diff --git a/website/docs/deploy-docs/03-deployment/04-tabular-data-submission.md b/website/docs/deploy-docs/03-deployment/04-tabular-data-submission.md new file mode 100644 index 00000000..41dbc197 --- /dev/null +++ b/website/docs/deploy-docs/03-deployment/04-tabular-data-submission.md @@ -0,0 +1,120 @@ +# Tabular Data Submission + +Lectern and Lyric will be set up next. Together they form Overture's structured, dictionary-driven data submission system: Lectern manages the data dictionaries (the schemas that define your tabular data), and Lyric validates and stores tabular submissions against those dictionaries. Lyric depends on Lectern, so we set up Lectern first. + +## Setting up the Lectern database + +Lectern stores its dictionaries, versions, and metadata in MongoDB. + +1. **Run MongoDB:** Use the following command to pull and run the MongoDB docker container + + ```bash + docker run -d --name lectern-mongo \ + -e MONGODB_USERNAME=admin \ + -e MONGODB_PASSWORD=password \ + -e MONGODB_DATABASE=lectern \ + -e MONGODB_ROOT_PASSWORD=password123 \ + -p 27017:27017 \ + bitnami/mongodb:4.0 + ``` + +
    + For more details, click here + + - This runs a MongoDB instance named `lectern-mongo` with an application user `admin` (password `password`) scoped to the `lectern` database. + - Lectern connects to this database using the `MONGO_*` variables set in the next step. + +
    + +## Running Lectern + +1. **Run Lectern:** Use the following command to pull and run the Lectern docker container + + ```bash + docker run -d --name lectern \ + -e PORT=3000 \ + -e MONGO_HOST=lectern-mongo \ + -e MONGO_PORT=27017 \ + -e MONGO_DB=lectern \ + -e MONGO_USER=admin \ + -e MONGO_PASS=password \ + -e AUTH_ENABLED=false \ + -p 3000:3000 \ + ghcr.io/overture-stack/lectern:latest + ``` + +
    + Click here for a detailed breakdown + + #### Lectern Variables + + - `PORT` is the port Lectern listens on (default `3000`). + - `MONGO_HOST`, `MONGO_PORT`, `MONGO_DB`, `MONGO_USER`, and `MONGO_PASS` point Lectern at the MongoDB instance from the previous step. Alternatively, set `MONGO_URL` to a full connection string, which overrides these discrete variables. + - `AUTH_ENABLED` toggles JWT-based authorization. It is set to `false` here for a simpler local deployment; enable it and set `EGO_API` and `SCOPE` to secure Lectern. + +
    + + :::info + Once running, the Lectern API and its Swagger UI are available at `http://localhost:3000/api-docs`. + ::: + +## Setting up the Lyric database + +Lyric stores submitted tabular data in PostgreSQL. + +1. **Run PostgreSQL:** Use the following command to pull and run the PostgreSQL docker container + + ```bash + docker run -d --name lyric-db \ + -e POSTGRES_USER=postgres \ + -e POSTGRES_PASSWORD=secret \ + -e POSTGRES_DB=lyric \ + -p 5432:5432 \ + postgres:15-alpine + ``` + +
    + For more details, click here + + - This runs a PostgreSQL instance named `lyric-db` with the user `postgres`, password `secret`, and a database named `lyric`. + - Lyric connects to this database using the `DB_*` variables set in the next step. + +
    + +## Running Lyric + +1. **Run Lyric:** Use the following command to pull and run the Lyric docker container + + ```bash + docker run -d --name lyric \ + -e PORT=3030 \ + -e DB_HOST=lyric-db \ + -e DB_PORT=5432 \ + -e DB_NAME=lyric \ + -e DB_USER=postgres \ + -e DB_PASSWORD=secret \ + -e LECTERN_URL=http://lectern:3000 \ + -e ID_USELOCAL=true \ + -p 3030:3030 \ + ghcr.io/overture-stack/lyric:latest + ``` + +
    + Click here for a detailed breakdown + + #### Lyric Variables + + - `PORT` is the port Lyric listens on (default `3030`). + - `DB_HOST`, `DB_PORT`, `DB_NAME`, `DB_USER`, and `DB_PASSWORD` point Lyric at the PostgreSQL instance from the previous step. + - `LECTERN_URL` is the URL of the running Lectern service supplying dictionary schemas; here it is the `lectern` container on port `3000`. + - `ID_USELOCAL` set to `true` has Lyric generate record identifiers locally rather than delegating to an external ID service. + +
    + + :::info + Once running, the Lyric API and its Swagger UI are available at `http://localhost:3030/api-docs`. Confirm `LECTERN_URL` points to a running Lectern service before submitting data. + ::: + +:::note Verified against +This guide was verified against **Lectern** `2.0.0-beta.3` (`8d9182f`) and **Lyric** `0.3.0` (`a6bb4e0`) on 2026-07-28, with MongoDB `4.0` and PostgreSQL `15`. Newer releases may differ. +::: diff --git a/website/docs/deploy-docs/03-deployment/05-mcp-server.md b/website/docs/deploy-docs/03-deployment/05-mcp-server.md new file mode 100644 index 00000000..c7ce4d44 --- /dev/null +++ b/website/docs/deploy-docs/03-deployment/05-mcp-server.md @@ -0,0 +1,53 @@ +# MCP Server + +The Arranger MCP server will be set up last, and this step is optional. It sits on top of Arranger (deployed with the search portal above) and exposes your indexed data to MCP-compatible AI clients, so researchers can query the portal in plain language. Deploy it only if you want to offer AI-assisted, conversational data discovery on top of your search portal. + +For the workflow this enables, the researcher experience, and a locally deployable demo, see the [AI-Assisted Data Discovery](/use/ai-assisted-data-discovery) guide. + +## Running the MCP server + +1. **Run the MCP server:** Point the container at the Arranger you deployed with the search portal. + + ```bash + docker pull ghcr.io/overture-stack/arranger-mcp-server:b4a414ce + + docker run -d \ + --name arranger-mcp \ + -e ARRANGER_BASE_URL=http://:5050 \ + -e ARRANGER_CATALOGUES= \ + -p 3100:3100 \ + ghcr.io/overture-stack/arranger-mcp-server:b4a414ce + ``` + + Replace `` with your Arranger's hostname or IP. If Arranger runs in Docker on the same host, use `host.docker.internal` (macOS/Windows) or the Arranger container's service name on a shared network. Set `ARRANGER_CATALOGUES` to the catalogues your Arranger actually serves; the server exits on startup if that list is missing or empty. + + | Variable | Default | Required | Description | + | ----------------------------- | ----------------------- | ------------ | ------------------------------------------------------------------ | + | `ARRANGER_BASE_URL` | `http://localhost:5050` | **Required** | Base URL of the Arranger server | + | `ARRANGER_CATALOGUES` | `server` | **Required** | Comma-separated list of Arranger catalogues to expose | + | `ARRANGER_REQUEST_TIMEOUT_MS` | `10000` | Optional | HTTP timeout in milliseconds for requests to Arranger | + | `MCP_HOST` | `0.0.0.0` | Optional | Host the MCP server binds to | + | `MCP_PORT` | `3100` | Optional | Port the MCP server listens on | + | `MCP_PATH` | `/mcp` | Optional | Endpoint path for the Streamable HTTP transport | + | `LOG_LEVEL` | `info` | Optional | Pino log level (`trace`, `debug`, `info`, `warn`, `error`, `fatal`) | + +2. **Confirm the server is up:** Check that the container is running and connected to Arranger. + + ```bash + docker ps | grep arranger-mcp + docker logs arranger-mcp # should show it connected to Arranger and listening + ``` + + The server is now reachable at `http://:3100/mcp` over the Streamable HTTP transport, ready for an MCP-compatible client to connect. + +:::warning Log files can be sensitive +At `LOG_LEVEL` `debug` or `trace`, the server may write SQON query objects to its logs. Those queries are generated from researcher input and can reveal which datasets, filters, and value ranges a researcher is investigating. Treat log files as potentially sensitive data: keep `LOG_LEVEL` at `info` or higher in production unless you are actively debugging, and apply the same access controls and retention policies you use for your primary portal's query logs. +::: + +:::info Learn More +For the server's internals, its full tool inventory, and development and testing workflows, see the canonical Arranger MCP Server documentation at [`apps/mcp-server`](https://github.com/overture-stack/arranger/tree/main/apps/mcp-server) and Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. +::: + +:::note Verified against +This guide was verified against the **Arranger MCP server** image `arranger-mcp-server:b4a414ce`, built from **Arranger** `v3.0.0-beta.32`+`8e84b4b`, on 2026-07-28. Newer releases may differ. +::: diff --git a/website/docs/deploy-docs/03-deployment/index.md b/website/docs/deploy-docs/03-deployment/index.md index 178eb261..ab89db62 100644 --- a/website/docs/deploy-docs/03-deployment/index.md +++ b/website/docs/deploy-docs/03-deployment/index.md @@ -36,7 +36,7 @@ This guide provides a step-by-step deployment of an Overture platform, including | ----------------- | -------------------------------------------------------------------------------------------------- | | **Song** | Our metadata management service with automated submission validation system. | | **Score** | Our file transfer microservice that supports fault-tolerant multi-part parallel transfer. | - | **Maestro** | Our indexing service for transforming metadata in Song into an Elasticsearch search index. | + | **Maestro** | Our indexing service for transforming metadata in Song into a search index (Elasticsearch or OpenSearch). | | **Arranger** | Our search API and UI component generation services. | | **Stage** | Our React-based user interface designed to allow easy deployment of data portals. | @@ -46,7 +46,7 @@ This guide provides a step-by-step deployment of an Overture platform, including | **Postgres** | A free and open-source relational database management system. | | **Minio** | A high-performance open-source object storage provider. | | **Kafka** | The messaging system used to enable asynchronous communication between Song and Maestro. | - | **Elasticsearch** | A search and analytics engine used to help query massive datasets flexibly and efficiently. | + | **Elasticsearch** or **OpenSearch** | A search and analytics engine used to query massive datasets flexibly and efficiently. Maestro and Arranger support either engine. | :::info Do you have a specific deployment scenario? Due to the variety of possible deployment scenarios (notably cloud servers and object storage providers) we are providing a generalized and reproducible deployment of an Overture platform running on your local machine. If you require further assistance with server deployments customized to your specific needs, our team can help. Feel free to reach out to us at contact@overture.bio for personalized consultation. diff --git a/website/docs/deploy-docs/index.md b/website/docs/deploy-docs/index.md index c7492de6..20e09c32 100644 --- a/website/docs/deploy-docs/index.md +++ b/website/docs/deploy-docs/index.md @@ -9,12 +9,12 @@ sidebar_position: 0 **For teams standing up and operating an Overture instance.** -This guide walks through deploying the Overture stack yourself, step by step: authorization with Keycloak, data management and storage with Song and Score, then the search portal with Maestro, Arranger, and Stage. +This guide walks through deploying the Overture stack yourself, step by step: authorization with Keycloak, file transfer with Song and Score, tabular data submission with Lectern and Lyric, then the search portal with Maestro, Arranger, and Stage, and optionally the MCP server for AI-assisted, conversational data discovery. If you'd rather try things out locally first, the [**Use docs**](/use) guides each ship with their own locally deployable demo environment. :::info We're expanding this section -We're actively working on updating and expanding these docs with guidance on Kubernetes and Helm chart deployments, deployment best practices, and instructions for deploying additional services such as Lectern and Lyric. +We're actively working on updating and expanding these docs with guidance on Kubernetes and Helm chart deployments and deployment best practices. In the meantime, if you have questions about deployment, reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). diff --git a/website/docs/use-docs/02-cli-downloads.md b/website/docs/use-docs/02-cli-downloads.md index b6f03026..3f7f2a38 100644 --- a/website/docs/use-docs/02-cli-downloads.md +++ b/website/docs/use-docs/02-cli-downloads.md @@ -8,6 +8,45 @@ ![Retrieval Overview](./images/dataRetrieval.webp "End Goal") +## Prerequisites + +Install and verify the following before you start. + +
    +1. WSL2 Setup (windows only) + +Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +
    +2. Git installed + +Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. + +
    + +
    +3. Docker Desktop (`28.0.0` or later) + +- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) +- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) + +Once installed, open Docker Desktop → Settings → Resources and set: + +- **CPUs:** 4+ cores (8 recommended) +- **Memory:** 8 GB minimum +- **Disk:** 10 GB+ available + +Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated + +
    + ## Getting Started This guide uses a dedicated demo environment: the `docs-demo/file-transfer` branch of the Overture Prelude repository. It is a self-contained Overture portal (Song, Score, Maestro, MinIO, Arranger, and Stage). diff --git a/website/docs/use-docs/03-cli-submissions.md b/website/docs/use-docs/03-cli-submissions.md index 6402019b..da2cb6b3 100644 --- a/website/docs/use-docs/03-cli-submissions.md +++ b/website/docs/use-docs/03-cli-submissions.md @@ -10,6 +10,45 @@ ![Submission Overview](./images/dataSubmission.webp "End Goal") +## Prerequisites + +Install and verify the following before you start. + +
    +1. WSL2 Setup (windows only) + +Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +
    +2. Git installed + +Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. + +
    + +
    +3. Docker Desktop (`28.0.0` or later) + +- **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) +- **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) + +Once installed, open Docker Desktop → Settings → Resources and set: + +- **CPUs:** 4+ cores (8 recommended) +- **Memory:** 8 GB minimum +- **Disk:** 10 GB+ available + +Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated + +
    + ## Getting Started This guide uses a dedicated demo environment: the `docs-demo/file-transfer` branch of the Overture Prelude repository. It is a self-contained Overture portal (Song, Score, Maestro, MinIO, Arranger, and Stage) preconfigured with a `demo` study and a `genomicVariants` analysis schema. @@ -64,10 +103,38 @@ Below is the payload for donor `DO001`. Its `analysisType` is `genomicVariants`, } ], "files": [ - { "fileName": "DO001.snv.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "SNV" }, - { "fileName": "DO001.indel.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "INDEL" }, - { "fileName": "DO001.cnv.txt.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "TXT", "fileAccess": "open", "dataType": "CNV" }, - { "fileName": "DO001.sv.vcf.gz", "fileSize": 0, "fileMd5sum": "00000000000000000000000000000000", "fileType": "VCF", "fileAccess": "open", "dataType": "SV" } + { + "fileName": "DO001.snv.vcf.gz", + "fileSize": 0, + "fileMd5sum": "00000000000000000000000000000000", + "fileType": "VCF", + "fileAccess": "open", + "dataType": "SNV" + }, + { + "fileName": "DO001.indel.vcf.gz", + "fileSize": 0, + "fileMd5sum": "00000000000000000000000000000000", + "fileType": "VCF", + "fileAccess": "open", + "dataType": "INDEL" + }, + { + "fileName": "DO001.cnv.txt.gz", + "fileSize": 0, + "fileMd5sum": "00000000000000000000000000000000", + "fileType": "TXT", + "fileAccess": "open", + "dataType": "CNV" + }, + { + "fileName": "DO001.sv.vcf.gz", + "fileSize": 0, + "fileMd5sum": "00000000000000000000000000000000", + "fileType": "VCF", + "fileAccess": "open", + "dataType": "SV" + } ], "experiment": { "sex": "female", @@ -167,7 +234,7 @@ Once Song accepts and stores the metadata under an analysis ID, it is a Song ana :::tip If Song rejects the payload with a `schema.violation` error, the metadata does not match the `genomicVariants` schema. You can inspect the registered schema from Song's Swagger UI at `localhost:8080/swagger-ui.html` under **Schema**, then **GET /schemas**. -![Song Swagger](./images/song-swagger.png 'Song Swagger') +![Song Swagger](./images/song-swagger.png "Song Swagger") ::: ## Generate a manifest diff --git a/website/docs/use-docs/administration/01-building-dictionaries.md b/website/docs/use-docs/administration/01-building-dictionaries.mdx similarity index 63% rename from website/docs/use-docs/administration/01-building-dictionaries.md rename to website/docs/use-docs/administration/01-building-dictionaries.mdx index 9c16c194..ac4ae540 100644 --- a/website/docs/use-docs/administration/01-building-dictionaries.md +++ b/website/docs/use-docs/administration/01-building-dictionaries.mdx @@ -1,7 +1,13 @@ +import DictionaryPlayground from '/src/components/DictionaryPlayground'; + # Building Dictionaries Before any record is submitted to your platform, someone has to decide what fields exist, what types they hold, what values are permitted, and which are required. Lectern is Overture's data dictionary management service: it gives those decisions a persistent, versioned, machine-readable home, so the same dictionary that guides submitters also drives automated validation at ingestion time. +:::info Looking for the complete specification? +This page is a hands-on introduction to building dictionaries. The full reference — every restriction type, schema-level `uniqueKey`/`foreignKey` relationships, reusable `references`, and versioning — lives in the [Lectern dictionary reference](/develop/Lectern/dictionaryReference). +::: + ## Dictionary Structure A Lectern dictionary is a JSON document made up of a name, a version, and one or more **schemas**, each schema modeling a single data entity (for example, `donor` or `specimen`). Within a schema, each **field** specifies a name, a value type (`string`, `integer`, `number`, or `boolean`), and any restrictions on the values it will accept: @@ -34,7 +40,7 @@ A Lectern dictionary is a JSON document made up of a name, a version, and one or } ``` -Restrictions (`required`, `codeList`, `regex`, `range`, and more) are where the curation work lives; they turn naming conventions and value ranges into enforced constraints, rejected at submission time rather than discovered after the fact. Schemas can also reference each other through shared identifier fields (a `specimen` schema referencing its donor's `donor_id`), expressing hierarchy without flattening everything into one table. +Restrictions (`required`, `codeList`, `regex`, `range`, and [many more](/develop/Lectern/dictionaryReference#field-restrictions)) are where the curation work lives; they turn naming conventions and value ranges into enforced constraints, rejected at submission time rather than discovered after the fact. Schemas can also reference each other through shared identifier fields (a `specimen` schema referencing its donor's `donor_id`), expressing hierarchy without flattening everything into one table. ## Where a Dictionary Fits @@ -45,8 +51,8 @@ Once published to a running Lectern server, a dictionary drives the rest of the ## Try It: Dictionary Playground -If you have a running instance, its portal includes a **Dictionary Playground** at `/dictionary/playground`, a live editor where you can write a schema and see it rendered as an interactive table in real time, no server required. +Use the playground below to build a dictionary hands-on. Edit the Lectern schema on the left and it renders as an interactive table on the right, validated live against the Lectern schema as you type. It runs entirely in your browser; nothing is sent to a server. Start from the template, press **Load Demo** for a fuller multi-schema example, then **Download JSON** or **Copy JSON** to take your dictionary with you. -:::tip -For the full schema reference (every restriction type, schema-level `uniqueKey`/`foreignKey` relationships, and versioning), see the [Lectern dictionary reference](/develop/Lectern/dictionaryReference). -::: + + +The validation strip above the editor reports one of three states: a valid Lectern dictionary, schema warnings (the preview still renders from your raw JSON), or a JSON syntax error. Warnings point at the exact field path so you can see which restriction or property needs attention. diff --git a/website/docs/use-docs/administration/02-building-song-schemas.md b/website/docs/use-docs/administration/02-building-song-schemas.mdx similarity index 94% rename from website/docs/use-docs/administration/02-building-song-schemas.md rename to website/docs/use-docs/administration/02-building-song-schemas.mdx index ddd01fe0..cd54a4ad 100644 --- a/website/docs/use-docs/administration/02-building-song-schemas.md +++ b/website/docs/use-docs/administration/02-building-song-schemas.mdx @@ -2,6 +2,8 @@ title: Building Song Schemas --- +import SongSchemaPlayground from '/src/components/SongSchemaPlayground'; + # Building Song Schemas ## Schema Validation and Submission @@ -324,6 +326,16 @@ The above key value pair is considered valid according to the schema. This allow If you want to learn more about JSON schema take a look at the following [JSON Schema guide](https://json-schema.org/understanding-json-schema). ::: +## Try It: Song Schema Playground + +You have seen the pieces; now assemble one. The playground below lets you build a Song schema two ways. Press **Generate from CSV** to turn example data into a starter schema, where each column becomes a typed property and low-cardinality columns get a suggested `enum`; or write the JSON directly in the editor. It validates the Song envelope and the inner JSON Schema as you type, flagging issues such as a `required` field that is not defined, an unknown type, or an invalid regex `pattern`, and it renders the fields on the right. Everything runs in your browser. Use **Download JSON** or **Copy JSON** to carry your schema to the update step below. + + + +:::note +The playground checks structure, not Song's full base-schema merge. It warns when you redefine a base-owned field (such as `studyId` or `analysisType`), but the authoritative check is Song itself when you register the schema. +::: + ## Updating the Schema You can update Song schemas using the Song server's Swagger UI or using curl commands. diff --git a/website/docs/use-docs/administration/03-customizing-the-data-portal.md b/website/docs/use-docs/administration/03-customizing-the-data-portal.mdx similarity index 88% rename from website/docs/use-docs/administration/03-customizing-the-data-portal.md rename to website/docs/use-docs/administration/03-customizing-the-data-portal.mdx index 10d2eaaa..1cab0074 100644 --- a/website/docs/use-docs/administration/03-customizing-the-data-portal.md +++ b/website/docs/use-docs/administration/03-customizing-the-data-portal.mdx @@ -1,3 +1,5 @@ +import ConfigGenerator from '/src/components/ConfigGenerator'; + # Customizing the Data Portal Arranger simplifies GraphQL queries over Elasticsearch indices with its front-end library of reusable search components. The primary configurable components for this guide are the left-hand search facets and the central data table seen below. @@ -228,3 +230,15 @@ The [facets.json file](https://github.com/overture-stack/composer/blob/develop/c :::info Facets.json Syntax One caveat of the `facets.json` file is the notation used for fieldNames. Here we use double underscores `__` rather than `.` for nested elements, for example `analysis__collaborator__name` instead of `analysis.collaborator.name` ::: + +## Try It: Generate Your Arranger Configs + +Rather than assembling `base.json`, `extended.json`, `table.json`, and `facets.json` from scratch, generate a working set from your data and adjust from there. Give the generator below a CSV (upload a file, paste rows, or press **Load example**) and it produces all four Arranger configuration files: a `base.json` pointing at your index, an `extended.json` with a display name per field, a `table.json` with a sortable column per field, and a `facets.json` with an aggregation for each searchable field. Everything runs in your browser; nothing is sent to a server. Switch between the tabs to review each file, then copy or download it. + + + +The generated configs use flat, top-level fields (`data.`), so they are an ideal starting point for a new index. When your Elasticsearch documents nest fields more deeply, extend the generated `fieldName` values using the `.` (and `__` for facets) notation described above. diff --git a/website/docs/use-docs/administration/04-index-mappings.md b/website/docs/use-docs/administration/04-index-mappings.mdx similarity index 65% rename from website/docs/use-docs/administration/04-index-mappings.md rename to website/docs/use-docs/administration/04-index-mappings.mdx index 6750c9be..5430810e 100644 --- a/website/docs/use-docs/administration/04-index-mappings.md +++ b/website/docs/use-docs/administration/04-index-mappings.mdx @@ -1,6 +1,8 @@ +import ConfigGenerator from "/src/components/ConfigGenerator"; + # Index Mappings -An index mapping defines how documents and their fields are stored and indexed in Elasticsearch. Maestro is responsible for taking published Song metadata and translating it into Elasticsearch documents. With these documents Arranger uses the index mapping and generates our GraphQL server which enables fast and flexible queries. +An index mapping defines how documents and their fields are stored and indexed in your search engine, either Elasticsearch or OpenSearch. Maestro is responsible for taking published Song metadata and translating it into search engine documents. With these documents Arranger uses the index mapping and generates our GraphQL server which enables fast and flexible queries. Depending on how Maestro is configured it can index data into documents in one of two ways: @@ -8,18 +10,17 @@ Depending on how Maestro is configured it can index data into documents in one o - **Analysis Centric Indexing** Each document indexed in Elasticsearch describes all information central to a specific analysis. [Click here to see an example of an analysis centric JSON document](https://github.com/overture-stack/composer/blob/develop/guideMaterials/dataAdministration/ES-analysisCentric-document.json). - :::info File or Analysis Centric Indexing - If your queries focus on individual files and their attributes, choose file-centric indexing. If your queries center on analyses/participants and their associated data, choose analysis-centric indexing. - ::: - -The index mapping can be defined within an index template supplied to Elasticsearch on startup. In the next section we will break down the structure of an index template. + :::info File or Analysis Centric Indexing + If your queries focus on individual files and their attributes, choose file-centric indexing. If your queries center on analyses/participants and their associated data, choose analysis-centric indexing. + ::: - :::warning We use Elasticsearch 7 +The index mapping can be defined within an index template supplied to your search engine on startup. In the next section we will break down the structure of an index template. - Our search platform is built on and compatible with version 7.x of Elasticsearch. Applications and queries need to follow Elasticsearch 7 syntax and conventions. +:::note Supported search engines - ::: +Overture's search platform runs on either **Elasticsearch 7.x** or **OpenSearch 1.x or higher** (Elasticsearch minimum 7.0, licensed or default distribution only; ES OSS and ES 8.x are not supported). OpenSearch was forked from Elasticsearch 7.10 and maintains API compatibility with Elasticsearch 7.x, so everything on this page, the index template structure, analyzers, field types, and the shared quickstart template, applies to both engines unchanged. Queries and applications follow Elasticsearch 7 syntax and conventions, which OpenSearch serves as well. For engine-specific detail, see the OpenSearch documentation on [mappings](https://docs.opensearch.org/latest/mappings/) and [text analysis](https://docs.opensearch.org/latest/analyzers/). +::: # Breaking Down Index Templates @@ -28,12 +29,9 @@ When broken down the index template has four components, `index_patterns`, `alia ```json { "index_patterns": ["overture-*"], - "aliases": { - }, - "mappings": { - }, - "settings": { - } + "aliases": {}, + "mappings": {}, + "settings": {} } ``` @@ -49,19 +47,19 @@ The above code snippet references [the Overture Quickstart Index template](https ## Aliases -Here we can define an alias for indices that use this template. Aliases are a secondary and more generalized index name typically used to group related indices. +Here we can define an alias for indices that use this template. Aliases are a secondary and more generalized index name typically used to group related indices. - Here we define our alias as `file_centric` providing us some context on the method of indexing configured with Maestro: - ```json - "aliases": { - "file_centric": {} - }, - ``` + ```json + "aliases": { + "file_centric": {} + }, + ``` ## Settings -The settings section is for configuring index behavior. Each setting plays a role in defining how data is indexed, stored, and queried in Elasticsearch, optimizing performance and scalability based on specific use cases and requirements. +The settings section is for configuring index behavior. Each setting plays a role in defining how data is indexed, stored, and queried in Elasticsearch, optimizing performance and scalability based on specific use cases and requirements. Most of these will be automatically configured by Maestro. However, we will outline the additional settings used in our index template including `analyzers`, `filters`, and `tokenizers`, essential components in Elasticsearch that contribute to how text data is indexed, analyzed, and searched. @@ -100,11 +98,11 @@ Most of these will be automatically configured by Maestro. However, we will outl - **Filters** in Elasticsearch are specific processing steps, typically used for text transformations within an analyzer or independently applied during indexing or querying. Filters are used to improve search relevance and efficiency by modifying or discarding certain tokens. -- **Tokens and Tokenizers** are fundamental concepts in text processing and search indexing. Tokens are individual units of text generated during tokenization. Tokenizers are components responsible for breaking down text into tokens (tokenization). They define how text is segmented based on rules like whitespace, punctuation, or specific character patterns. +- **Tokens and Tokenizers** are fundamental concepts in text processing and search indexing. Tokens are individual units of text generated during tokenization. Tokenizers are components responsible for breaking down text into tokens (tokenization). They define how text is segmented based on rules like whitespace, punctuation, or specific character patterns. - :::info For more information - For more information on tokenizers, analyzers and filters refer to [Elasticsearch's documentation on the Anatomy of analyzers](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/analyzer-anatomy.html). - ::: + :::info For more information + For more information on tokenizers, analyzers and filters refer to [Elasticsearch's documentation on the Anatomy of analyzers](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/analyzer-anatomy.html). + ::: With this information, let's break down some of the settings found in our index template @@ -147,7 +145,7 @@ Here, `autocomplete_analyzed` is defined with a `Tokenizer` using the diff --git a/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md b/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md index 11d22f6b..29e9f9da 100644 --- a/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md +++ b/website/docs/use-docs/ai-assisted-data-discovery/01-testing-environment.md @@ -5,21 +5,33 @@ sidebar_label: Testing environment # Set up the testing environment -The quickest way to see the workflow end to end is the AI-Assisted Data Discovery demo: a self-contained [Prelude](/deploy/prelude) environment that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data. It is locally deployable and accessible to pilot users and developers alike. +The quickest way to see the workflow end to end is the AI-Assisted Data Discovery demo: a self-contained instance that starts Arranger, the MCP server, and a portal preloaded with a representative sample of the OICR Drug Discovery data. It is locally deployable and accessible to pilot users and developers. ## Prerequisites -Install and verify the following before you start. This mirrors the OS coverage of the [build-a-portal workshop](/use/workshop/prerequisites). +Install and verify the following before you start.
    -1. Git `git --version` returns a version number +1. WSL2 Setup (windows only) + +Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +
    +2. Git installed Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised.
    -2. Docker Desktop (`28.0.0` or later) +3. Docker Desktop (`28.0.0` or later) - **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) - **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) @@ -30,17 +42,7 @@ Once installed, open Docker Desktop → Settings → Resources and set: - **Memory:** 8 GB minimum - **Disk:** 10 GB+ available -Confirm `docker --version` and `docker compose version` both return version numbers, and that Docker Desktop is **running** with the resources above allocated. - -
    - -
    -3. _(Windows only)_ WSL2 configured with Docker Desktop integration enabled - -1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) -2. Use Ubuntu or another Linux distribution within WSL2 -3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) -4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. +Please ensure `docker --version` and `docker compose version` both return version numbers, and Docker Desktop is **running** with **4+ CPUs** and **8 GB+ memory** allocated
    @@ -63,7 +65,7 @@ make demo To stop the stack, run `make down`; to wipe all data and start clean, run `make reset`. -:::note Windows +:::info Windows Run `make demo` from a **Bash terminal inside WSL2**. The MCP demo branch drives the stack through the `Makefile`, so use WSL2 rather than native PowerShell. ::: @@ -71,27 +73,25 @@ Run `make demo` from a **Bash terminal inside WSL2**. The MCP demo branch drives `docker ps` should list the stack. All ports bind to `127.0.0.1` only: -| Service | Port | Role | -| ----------------- | -------------- | --------------------------------------------- | -| Stage (portal UI) | `3000` | Portal frontend | -| Arranger | `5050` | GraphQL API and introspection endpoints | -| Arranger MCP | `3100` | MCP server, Streamable HTTP at `/mcp` | -| OpenSearch | `9200` | Search engine | -| PostgreSQL | `5435` | Persistent storage | +| Service | Port | Role | +| ----------------- | ------ | --------------------------------------- | +| Stage (portal UI) | `3000` | Portal frontend | +| Arranger | `5050` | GraphQL API and introspection endpoints | +| Arranger MCP | `3100` | MCP server, Streamable HTTP at `/mcp` | +| OpenSearch | `9200` | Search engine | +| PostgreSQL | `5435` | Persistent storage | ## The demo data -The data is a **representative sample** drawn from the Drug Discovery Portal, roughly 1,000 rows in each of four gene-statistics catalogues, not the full upstream dataset. The upstream portal spans about **405 million records** across roughly **20,000 genes** and **32 cancer types**, and its datasets are related by gene (HUGO symbol), so a cohort filtered in one catalogue can be refined against the others: - -| Catalogue | Contents | Sample coverage | -| ------------- | ------------------------------- | ----------------------------------- | -| `correlation` | Gene correlation data | DLBC only | -| `mutation` | Gene mutation data | BRCA only | -| `expression` | Gene expression profiles | 32 cancer types | -| `protein` | Protein interaction statistics | Sampled | -| `donor` | Donor records | Sampled | +The data is a **representative sample** drawn from the Drug Discovery Portal, roughly 1,000 rows in each of four gene-statistics catalogues. The upstream portal spans about **405 million records** across roughly **20,000 genes** and **32 cancer types**, and its datasets are related by gene (HUGO symbol), so a cohort filtered in one catalogue can be refined against the others: -A synthetic `fixture` catalogue also exists for platform testing. Because the samples are sized for demonstration, their coverage is deliberately narrow and uneven: a query outside a catalogue's coverage (for example asking `mutation` about a non-BRCA cancer type) returns no rows, which is expected, not an error. +| Catalogue | Contents | Sample coverage | +| ------------- | ------------------------------ | --------------- | +| `correlation` | Gene correlation data | DLBC only | +| `mutation` | Gene mutation data | BRCA only | +| `expression` | Gene expression profiles | 32 cancer types | +| `protein` | Protein interaction statistics | Sampled | +| `donor` | Donor records | Sampled | ## Verify @@ -106,4 +106,4 @@ docker ps | grep arranger-mcp docker logs arranger-mcp # should show it connected to Arranger and listening ``` -Once the stack is up, [connect a host application](/use/ai-assisted-data-discovery/connect-a-host). +Once the stack is up we can move on to [connecting a host application](/use/ai-assisted-data-discovery/connect-a-host). diff --git a/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md b/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md index 84ad70cb..e1dc6542 100644 --- a/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md +++ b/website/docs/use-docs/ai-assisted-data-discovery/02-connect-a-host.md @@ -11,7 +11,7 @@ Before you start, make sure the [testing environment](/use/ai-assisted-data-disc ## Install LM Studio -[Download and install LM Studio](https://lmstudio.ai/) for macOS, Windows, or Linux. LM Studio bundles a local model runtime with a chat UI, so the model runs on your machine and nothing leaves it (principle 1). +[Download and install LM Studio](https://lmstudio.ai/) for macOS, Windows, or Linux. LM Studio bundles a local model runtime with a chat UI, so the model runs on your machine and nothing leaves it. ## Choose a local model @@ -20,19 +20,21 @@ The workflow requires a model that supports **tool calling**: the model calls th 1. Open the **Discover** tab (magnifying glass icon). 2. Search for a tool-capable model. Reasonable starting points: - | Model | Notes | - | ----------------------------------- | --------------------------------------------------------- | - | `Qwen2.5-7B-Instruct` (Q4, ~4.7 GB) | Good balance of speed and reasoning; strong tool-calling | - | `Qwen2.5-3B-Instruct` (Q4, ~2 GB) | Smaller option for machines with limited RAM | + | Model | Notes | + | ----------------------------------- | -------------------------------------------------------- | + | `Qwen2.5-7B-Instruct` (Q4, ~4.7 GB) | Good balance of speed and reasoning; strong tool-calling | + | `Qwen2.5-3B-Instruct` (Q4, ~2 GB) | Smaller option for machines with limited RAM | - These are **provisional starting points**, not a benchmarked recommendation. A defensible, benchmarked model recommendation lands after the August 2026 model evaluation. + :::important + These are **provisional starting points**, not a benchmarked recommendation. We are currently working on establishing a defensible, benchmarked model recommendation. + ::: 3. Click **Download** and wait for it to complete. 4. Open the **Chat** tab and load the downloaded model; it should appear in the top status bar. ## Configure the MCP connection -The server speaks the **Streamable HTTP** MCP transport at `http://localhost:3100/mcp`. In LM Studio: +The server is setup for **Streamable HTTP** MCP transport at `http://localhost:3100/mcp`. In LM Studio: 1. Select the **Chat** tab from the left-hand menu. 2. In the right-hand panel, under **Integrations**, select **`+ Install`**. This opens your `mcp.json` file. diff --git a/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md b/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md index 95bedea2..f3fcb752 100644 --- a/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md +++ b/website/docs/use-docs/ai-assisted-data-discovery/04-use-cases.md @@ -1,11 +1,11 @@ --- id: use-cases -sidebar_label: Use cases +sidebar_label: Demonstrated Use cases --- # Demonstrated use cases -These are reproducible against the demo's Drug Discovery sample. The goal in each case is to refine a large gene list into a focused set of candidate targets. They are written so you can adapt the pattern to a different portal: substitute your own catalogue and field names, and keep the shape of the conversation. If a request is ambiguous, the model asks a targeted follow-up before querying (see [the researcher workflow](/use/ai-assisted-data-discovery#the-researcher-workflow)). +These are reproducible against the demo's Drug Discovery sample. The goal in each case is to refine a large gene list into a focused set of candidate targets. They are written so you can adapt the pattern to a different portal: substitute your own catalogue and field names, and keep the shape of the conversation. If a request is ambiguous, the model asks a targeted follow-up before querying (see [the reseaher workflow](/use/ai-assisted-data-discovery#the-researcher-workflow)). ## Use case 1: iterative refinement @@ -45,7 +45,7 @@ Each step approves and runs one query, and each follow-up operates on the previo ## Use case 2: pathway-informed filtering -Pathway-informed filtering uses the same refinement pattern to assemble a candidate gene set, then relates those genes to biological pathways, the question that feeds deeper analysis. This is the project's headline end-to-end example; the sequence below mirrors it. +Pathway-informed filtering uses the same refinement pattern to assemble a candidate gene set, then relates those genes to biological pathways, the question that feeds deeper analysis. 1. **Assemble a candidate set** by mutation burden and cancer type: diff --git a/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md b/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md index e91bf7c8..cdb1cd8d 100644 --- a/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md +++ b/website/docs/use-docs/ai-assisted-data-discovery/05-deploy-your-own-mcp-server.md @@ -7,31 +7,12 @@ sidebar_label: Deploy your own server In the demo, you do not run the MCP server by hand; `make demo` starts it as the `arranger-mcp` container. To point the server at a **different or standalone** Arranger instance, deploy the container yourself. -```bash -docker pull ghcr.io/overture-stack/arranger-mcp-server:b4a414ce - -docker run -d \ - --name arranger-mcp \ - -e ARRANGER_BASE_URL=http://:5050 \ - -e ARRANGER_CATALOGUES=correlation,mutation,expression,protein,donor \ - -p 3100:3100 \ - ghcr.io/overture-stack/arranger-mcp-server:b4a414ce -``` - -Replace `` with your Arranger's hostname or IP. If Arranger runs in Docker on the same host, use `host.docker.internal` (macOS/Windows) or the Arranger container's service name on a shared network. Set `ARRANGER_CATALOGUES` to the catalogues your Arranger actually serves; the server exits on startup if it is missing. +:::tip Don't have an Arranger portal yet? +The [Building a Foundational Search Portal workshop](/use/workshop/prerequisites) walks you through standing up Arranger and Stage on your own tabular data. Once that portal is running, deploy the MCP server against it using the steps below. +::: -| Variable | Default | Required | Description | -| ----------------------------- | ----------------------- | ------------ | ------------------------------------------------------------------ | -| `ARRANGER_BASE_URL` | `http://localhost:5050` | **Required** | Base URL of the Arranger server | -| `ARRANGER_CATALOGUES` | `server` | **Required** | Comma-separated list of Arranger catalogues to expose | -| `ARRANGER_REQUEST_TIMEOUT_MS` | `10000` | Optional | HTTP timeout in milliseconds for requests to Arranger | -| `MCP_HOST` | `0.0.0.0` | Optional | Host the MCP server binds to | -| `MCP_PORT` | `3100` | Optional | Port the MCP server listens on | -| `MCP_PATH` | `/mcp` | Optional | Endpoint path for the Streamable HTTP transport | -| `LOG_LEVEL` | `info` | Optional | Pino log level (`trace`, `debug`, `info`, `warn`, `error`, `fatal`) | +The deployment steps, the full environment-variable reference, and production guidance live in the Deploy guide: -:::warning Log files can be sensitive -At `LOG_LEVEL` `debug` or `trace`, the server may write SQON query objects to its logs. Those queries are generated from researcher input and can reveal which datasets, filters, and value ranges a researcher is investigating. Treat log files as potentially sensitive data: keep `LOG_LEVEL` at `info` or higher in production unless you are actively debugging, and apply the same access controls and retention policies you use for your primary portal's query logs. -::: +**[Deploy the MCP Server](/deploy/deployment/mcp-server)** For the server's internals, its full tool inventory, and development and testing workflows, see the canonical Arranger MCP Server documentation at [`apps/mcp-server`](https://github.com/overture-stack/arranger/tree/main/apps/mcp-server) and Arranger's [AI and automation](/develop/Arranger/reference/ai-and-automation) reference. diff --git a/website/docs/use-docs/ai-assisted-data-discovery/image.png b/website/docs/use-docs/ai-assisted-data-discovery/image.png new file mode 100644 index 0000000000000000000000000000000000000000..a6ed167c220fc26861e91de5fd7166988222fd5a GIT binary patch literal 1562960 zcmcG$3sh6rwm)o-Jz}duEmfc>X-f;ogBmE6ce2}Sk7xyQT56-BL_kT^NJQS`v1?Hf 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z9V5zCIOI!*vCBObtmK)i5{tEINkwV%(7i>=92m>U^Qb52OQevt%Du(%3pVBA0nR*r zp6t(xNIk2;p*TtKg|sH$T(j_dUWZND*xM-$<_QV_ehtN|B;Cs4=b_0nOhYfyAXGSH zImSC|7?vPJUv$YfCH&k&6VYpt7f(ywmF%^dvY*&+6pso_KDrbGY<|tA;-jMZjrrWT6J;Vjcmt^3Mrh6A{2}P{>KMN z%N)Lwj8vfu90ec0HPp2DQr0Hd)Jr*9oi!BXJcR0afDn#8@UQRg)ht0BmB|WS_t6ab oEqZHU=*4d6D{jk=ORWO2lBtgy _"show me all breast cancer samples with RNA-seq data from Canadian donors"_ @@ -14,9 +14,15 @@ The task is **natural language in, structured query out**, close in spirit to te This guide documents the _function_ (ask a question, review the generated query, get results) and the connection steps, so it holds regardless of which model host or chat client you use. Specific tools named below (LM Studio, MCP Inspector) are reference implementations, not requirements. A dedicated researcher-facing conversational host is in active development; today the capability is reachable through any MCP-compatible client pointed at the Arranger MCP server (see [Connect a host application](/use/ai-assisted-data-discovery/connect-a-host)). ::: +:::tip New to Overture search portals? +The [Building a Foundational Search Portal workshop](/use/workshop/prerequisites) walks you through standing up the base portal (Arranger and Stage) on your own tabular data. This guide picks up from there, extending that same platform with the Arranger MCP server so a language model can query it in plain language. +::: + ## Why conversational discovery -Structuring data behind a search API already makes it machine-accessible. Exposing that API through MCP lets a single conversational interface reason across it, and across other MCP-connected tools, instead of building a bespoke integration for every new tool, view, or data source. The result is one query interface that grows with the ecosystem rather than with custom development. +Search APIs make data machine-accessible, but exposing them through MCP transforms how researchers interact with it. Rather than building custom, one-off integrations for every view or external dataset, MCP provides a standard protocol. A single conversational interface can query Overture data, synthesize results alongside other MCP-connected tools, and power end-to-end research workflows combining interactive data exploration, code execution, and dynamic visualization within one unified system. + +![Integration Trap](../images/integration.png) ## How a question becomes a query @@ -30,25 +36,18 @@ A generated query is three parts, each mapping to part of the sentence: [SQON](/develop/Arranger/reference/building-sqon-queries) is Overture's JSON filter language; the [GraphQL API](/develop/Arranger/reference/query-processing) carries the filter, field selection, and aggregation to Arranger, which translates them into an Elasticsearch query. Because the model must know a catalogue's real fields, types, and valid operators before it can build a valid query, it discovers them at runtime through Arranger's [Introspection API](/develop/Arranger/reference/introspection) rather than guessing. Because Arranger generates that schema live from the indexed data, the same MCP server works against any Overture deployment without changes. -## Governing principles - -The workflow is built around four principles, driven by the reality that this runs over sensitive biomedical data. - -1. **Data sovereignty and minimization.** Sensitive records and the researcher's questions must not leave local infrastructure. The workflow is designed for **open-weights models run locally**, so nothing is sent to an external model provider. Only what a step needs is exposed: the model reads the catalogue _schema_ (via introspection) to build a query, and a query returns only the fields it selects. -2. **Explicit consent before execution.** The system builds a query from the question and **presents it to the researcher for approval before any data is fetched**. Nothing runs against the catalogue until the researcher confirms. -3. **Sandboxed execution.** Approved queries run through Arranger's search API against a configured catalogue (a bounded, read-only surface), not as free-form code against production systems. -4. **Reproducible sessions.** Runs use deterministic model settings (temperature 0) and a schema pinned to a specific introspection snapshot, so the same question yields the same query and the same results. - ## The researcher workflow The workflow runs in four beats: **request, clarifying intent, confirm, execute.** +![Researcher Workflow](../images/researcher-workflow.png) + 1. **Request.** The researcher asks a question in plain language. Before answering, the model grounds itself: it **lists the catalogues** to see which datasets exist, reads their descriptions to pick the relevant one, then **loads that catalogue's fields** (their types, descriptions, and valid operators) and the **SQON filter grammar** it needs to build a valid query. Loading fields for only the chosen catalogue, rather than every dataset up front, keeps the model within its context budget. 2. **Clarifying intent.** The model classifies the request as _answerable_, _ambiguous_, _unanswerable_, or _improper_, and responds accordingly: proposing a filter in plain language when it is answerable, presenting its interpretation and asking a targeted follow-up when it is ambiguous, or suggesting the closest available fields when the data cannot answer it. Because the fields come from live introspection, the model stays grounded in fields that actually exist rather than inventing them. (This classify-then-respond loop is adapted from Guo et al. (2024), [Enhancing LLMs for Multi-turn Text-to-SQL](https://arxiv.org/abs/2412.17867); the task here has the same shape, with an Arranger GraphQL query as the target instead of SQL.) 3. **Confirm.** The model presents the finished query in plain language for approval. Nothing runs until the researcher confirms (principle 2), a human-in-the-loop check enforced on every query. 4. **Execute.** Arranger runs the approved query and returns the matching records (or aggregation buckets). -## In this guide +## In this guide we will 1. **[Set up the testing environment](/use/ai-assisted-data-discovery/testing-environment)**: deploy the demo locally. 2. **[Connect a host application](/use/ai-assisted-data-discovery/connect-a-host)**: point LM Studio (or another MCP host) at the server. @@ -58,12 +57,18 @@ The workflow runs in four beats: **request, clarifying intent, confirm, execute. ## What's coming -- **Integrated pathway-informed discovery** through a companion MCP server over MSigDB (the Molecular Signatures Database), so a refined gene set can be related to known biology in the same conversation. +Establishing accurate, precise retrieval within the conversational interface is the critical foundation for what comes next. Bringing data directly into the conversational flow moves us beyond traditional search and opens us up to entirely new horizons for AI-assisted reasoning, multi-tool integration, and interactive research. + +![AI Assisted Data Discovery](../images/bigpicture.png) + - **A dedicated research environment** for interactive exploration, analysis, and visualization, where the model produces reproducible **code artifacts** (the data query, the analysis code, the visualization code) rather than opaque answers. - **Extensibility** through additional MCP servers and reusable **Skills**, keeping research data under local context control. -- **A dedicated conversational host** for non-technical users, and **authentication** on the MCP server. - **Testing and model optimization**, including a benchmarked model recommendation after the August 2026 evaluation. +:::info Concept Art +These are early-stage exploratory concept mocks intended to illustrate potential design directions and functionality. They are not final representations of the user interface or system architecture. +::: + For the Arranger server's own roadmap, see its [AI and automation](/develop/Arranger/reference/ai-and-automation#whats-coming) reference. :::info **Need Help?** diff --git a/website/docs/use-docs/images/bigpicture.png b/website/docs/use-docs/images/bigpicture.png new file mode 100644 index 0000000000000000000000000000000000000000..a6ed167c220fc26861e91de5fd7166988222fd5a GIT binary patch literal 1562960 zcmcG$3sh6rwm)o-Jz}duEmfc>X-f;ogBmE6ce2}Sk7xyQT56-BL_kT^NJQS`v1?Hf zd8A5Pqyct&w4{iF7!?FblxLAgl<*3#KmvsDN?DzwdS64?fLjka{nF?y6N?|UthCk&87qUKmB6OnvGwtS!1`dejV15aBOGKnl-QN zJH2=B-w*8F`_A7l(Bn_jPOVwQXblt;cUGcbh@#fbj-i&|uqYu~S zZ5!+U`5&JQRh|AhHE3e}FF9Yk^<-W--+$)-|L66Y-&S0F^@BRr!#?)cE%B^7d{I3A zXP)%S+tYu3z9ouRl=rOX?$Xby*Kn__bEZCfaQm+b&O2PDB86nRJ*TQpyj(3+p@S!O zQyzXQz18w#pI`caG`H8@Jx1K@Ccf~!y0YuCAEmzZoc7dNkD`e6()FCffAjT(|FZ3Q zs`>Kn-Nl7>IId$0HuLlLhPmI8zj^Dxw>$Zt9{uR~?P;x%`Ctz;x#n-1dWe6%I=tew 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Compose with similar setups. Before starting you can install and verify the following:
    -0.Windows onlyWSL2 Setup +0. WSL2 Setup (windows only) Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: @@ -26,7 +26,7 @@ Docker Desktop on Windows runs on WSL2, so configure it before installing Docker
    -1. Git `git --version` returns a version number +1. Git installed Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised. diff --git a/website/docs/use-docs/workshop/00-Intro.md b/website/docs/use-docs/workshop/00-Intro.md index ccde861d..af475f73 100644 --- a/website/docs/use-docs/workshop/00-Intro.md +++ b/website/docs/use-docs/workshop/00-Intro.md @@ -5,11 +5,7 @@ sidebar_position: 0 description: Build a searchable, FAIR-compliant data discovery portal from tabular CSV data using Elasticsearch, Arranger, and Stage. --- -:::caution Complete the prerequisites before you start -Most importantly, download the Docker images in advance; depending on your connection, this can take a while. -::: - -# Prerequisites +# Building a Foundational Search Portal This tutorial will guide you through building a foundational data discovery portal for tabular CSV data using Elasticsearch, Arranger, and Stage. @@ -24,17 +20,29 @@ This tutorial will guide you through building a foundational data discovery port ## Prerequisites -The following software should be installed and verified before you start: +Install and verify the following before you start.
    -1. Git `git --version` returns a version number +1. WSL2 Setup (windows only) + +Docker Desktop on Windows runs on WSL2, so configure it before installing Docker Desktop below: + +1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) +2. Use Ubuntu or another Linux distribution within WSL2 +3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) +4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. + +
    + +
    +2. Git installed Download from [git-scm.com](https://git-scm.com/downloads) if the command is not recognised.
    -2. Docker Desktop (`28.0.0` or later) +3. Docker Desktop (`28.0.0` or later) - **macOS / Windows:** Download from [docker.com/products/docker-desktop](https://www.docker.com/products/docker-desktop/) - **Linux:** Follow the [Docker Engine install guide](https://docs.docker.com/engine/install/) @@ -49,57 +57,12 @@ Please ensure `docker --version` and `docker compose version` both return versio
    -
    -3. Docker images pre-downloaded Most time-consuming step, run these before you start - -Pull the required Docker images now to avoid slow downloads while working through this tutorial: - -```bash -docker pull alpine/curl:8.8.0 -docker pull postgres:15-alpine -docker pull docker.elastic.co/elasticsearch/elasticsearch:7.17.27 -docker pull ghcr.io/overture-stack/arranger-server:4919f736 -docker pull ghcr.io/overture-stack/conductor:171d9ce -docker pull node:18-alpine -``` - -Verify all six downloaded: - -```bash -docker images | grep -E "alpine/curl|postgres|elasticsearch|arranger-server|conductor|node" -``` - -You should see all six images listed. - -
    - -
    -4. Repository cloned: `git clone -b quickstart https://github.com/overture-stack/prelude.git` - -The `prelude` repository contains everything needed for this tutorial: Docker Compose configuration, the Conductor wrapper script, and sample data. Clone it once before you start and you won't need internet access for the hands-on portion. - -```bash -git clone -b quickstart https://github.com/overture-stack/prelude.git -``` - -
    - -
    -5. _(Windows only)_ WSL2 configured with Docker Desktop integration enabled - -1. Install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) -2. Use Ubuntu or another Linux distribution within WSL2 -3. Enable Docker Desktop's WSL2 integration (Docker Desktop → Settings → Resources → WSL Integration) -4. Run all commands from a **Bash terminal inside WSL2**, not PowerShell or Command Prompt. To open one, search for your Linux distribution (e.g. "Ubuntu") in the Start menu. - -
    - #### Optional Prerequisites These are not required but will make this tutorial easier to follow:
    -6. (Optional) Elasticvue: browser-based Elasticsearch GUI +5. (Optional) Elasticvue: browser-based Elasticsearch GUI [Elasticvue](https://elasticvue.com/installation) is a browser-based Elasticsearch GUI useful for inspecting indices, browsing documents, and troubleshooting. It is not required but helpful for understanding what's happening inside Elasticsearch while working through this tutorial. @@ -108,7 +71,7 @@ Install it as a browser extension or standalone app.
    -7. (Optional) PostgreSQL GUI client +6. (Optional) PostgreSQL GUI client A PostgreSQL GUI client is useful for browsing the database while working through this tutorial. It is not required but helpful if you want to inspect the Postgres data directly. @@ -121,29 +84,12 @@ A PostgreSQL GUI client is useful for browsing the database while working throug
    -8. (Optional) Bring your own data: CSV file +7. (Optional) Bring your own data: CSV file If you have a tabular dataset you'd like to use, bring it as a CSV file. This tutorial uses demo data throughout, but the final sections cover adapting the portal to your own dataset.
    -## Support - -| | | -| ------------------- | ---------------------------------------------------------------------------------------------------------------------- | -| **Community support** | [community support channels](https://docs.overture.bio/community/support) or [contact@overture.bio](mailto:contact@overture.bio) | -| **Bug reports** | [GitHub Issues](https://github.com/overture-stack/prelude/issues) | - -## Verification Checklist - -Before starting, confirm: - -1. `git --version` returns a version number -2. `docker --version` returns 28.0.0 or later -3. `docker compose version` returns a version number -4. Docker Desktop is running with 4+ CPUs and 8 GB+ memory allocated -5. **All six Docker images are downloaded** (`docker images`): _this is the most time-consuming step_ -6. The repository is cloned and you can `cd` into it -7. _(Windows only)_ WSL2 is configured and Docker integration is enabled - -> **Troubleshooting:** If you run into issues, reach out via the [community support channels](https://docs.overture.bio/community/support). +:::tip Finding Support +If you can't find what you're looking for please don't hesitate to reach out through our [**support page**](/community/support) or our [**discussion forum**](https://github.com/overture-stack/docs/discussions?discussions_q=). +::: diff --git a/website/docs/use-docs/workshop/01-Running-the-Demo.md b/website/docs/use-docs/workshop/01-Running-the-Demo.md index f95bca6f..b430a5cd 100644 --- a/website/docs/use-docs/workshop/01-Running-the-Demo.md +++ b/website/docs/use-docs/workshop/01-Running-the-Demo.md @@ -16,10 +16,10 @@ Before building anything from scratch, let's deploy the pre-configured demo port -If you have not done so yet, clone the following repository. +Clone the following repository: ``` -git clone -b quickstart https://github.com/overture-stack/prelude.git +git clone -b docs-demo/search-portal-workshop https://github.com/overture-stack/prelude.git cd prelude ``` @@ -29,22 +29,6 @@ From the root of the cloned repository, run: make demo ``` -
    -Running on Windows? - -| Platform | Command | -| ------------------ | ----------------------------------- | -| WSL2 (recommended) | `make demo` (in an Ubuntu terminal) | -| Native PowerShell | `.\run.ps1 demo` | - -**One-time setup for native PowerShell:** allow local scripts to run by executing this once: - -```powershell -Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser -``` - -
    - The portal will be available at **http://localhost:3000** once deployment completes.
    @@ -61,6 +45,22 @@ The portal will be available at **http://localhost:3000** once deployment comple
    +
    +Running on Windows? + +| Platform | Command | +| ------------------ | ----------------------------------- | +| WSL2 (recommended) | `make demo` (in an Ubuntu terminal) | +| Native PowerShell | `.\run.ps1 demo` | + +**One-time setup for native PowerShell:** allow local scripts to run by executing this once: + +```powershell +Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser +``` + +
    + :::info The first run takes longer because Docker needs to build the Stage image. Subsequent runs will be faster. ::: @@ -108,7 +108,7 @@ You should see containers for: | Container | Port | Role | | --------------------- | ---- | ------------------------- | | `stage` | 3000 | Portal frontend | -| `arranger-datatable1` | 5050 | Search API for datatable1 | +| `arranger` | 5050 | Search API | | `elasticsearch` | 9200 | Search engine | | `postgres` | 5435 | Persistent storage | @@ -159,10 +159,10 @@ Arranger exposes a GraphQL API at `http://localhost:5050/graphql`. You can query ```bash curl -X POST http://localhost:5050/graphql \ -H "Content-Type: application/json" \ - -d '{"query": "{ datatable1 { hits { total } } }"}' + -d '{"query": "{ records { hits { total } } }"}' ``` -This should return the total number of indexed records. You can also open `http://localhost:5050/graphql` in a browser to access the GraphQL playground and explore the schema interactively. +This should return the total number of indexed records. The root field is `records` because that is the `documentType` set in `base.json`. You can also open `http://localhost:5050/graphql` in a browser to access the GraphQL playground and explore the schema interactively. ### Checkpoint @@ -171,7 +171,7 @@ Before moving on, confirm: 1. The portal is running at http://localhost:3000 2. You can see the data exploration page with records in the table 3. Clicking a facet value filters the table results -4. `docker ps` shows containers for `stage`, `arranger-datatable1`, `elasticsearch`, and `postgres` +4. `docker ps` shows containers for `stage`, `arranger`, `elasticsearch`, and `postgres` :::info **Stuck?** Run `docker logs setup` to see where initialization may have failed. Common issues: Docker not running, port 3000 already in use, insufficient memory allocated to Docker. diff --git a/website/docs/use-docs/workshop/02-Architecture.md b/website/docs/use-docs/workshop/02-Architecture.md index 5adc661a..38625836 100644 --- a/website/docs/use-docs/workshop/02-Architecture.md +++ b/website/docs/use-docs/workshop/02-Architecture.md @@ -16,8 +16,8 @@ Now that you've seen the running portal, let's walk through how data flows from | **Conductor** | CLI tool | Reads CSV files, loads records into PostgreSQL, then indexes them into Elasticsearch as structured documents. | | **[PostgreSQL](https://www.postgresql.org/)** | Database | Persistent relational storage for your data. Serves as the source of truth: data is loaded here first, then indexed into Elasticsearch for search. | | **[Elasticsearch](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/elasticsearch-intro.html)** | Search engine | Indexes and stores your data for search. Handles full-text search, faceted filtering, aggregations, and sorting. | -| **[Arranger](https://docs.overture.bio/develop/Arranger/overview)** | Search API + UI layer | Sits between Elasticsearch and the frontend. Provides a GraphQL API and generates search UI components (facets, tables, filters) based on configuration files. | -| **[Stage](https://docs.overture.bio/develop/Stage/overview/)** | Portal frontend | A React-based web application that renders Arranger's search components and provides the overall portal experience (navigation, theming, documentation pages). | +| **[Arranger](https://docs.overture.bio/develop/Arranger/overview)** | Search API + UI layer | Sits between Elasticsearch and the frontend. Provides a GraphQL API and generates search UI components (facets, tables, filters) based on configuration files. | +| **[Stage](https://docs.overture.bio/develop/Stage/overview/)** | Portal frontend | A React-based web application that renders Arranger's search components and provides the overall portal experience (navigation, theming, documentation pages). | ### Data Flow @@ -97,7 +97,7 @@ The components used in this tutorial are part of the broader [Overture](https:// These extensions are beyond the scope of this tutorial but represent the natural next steps for teams that need structured data submission workflows, file management, or multi-service integration. -#### AI-Assisted Data Discovery +### AI-Assisted Data Discovery Structuring data through a search API like Arranger makes it **machine-accessible in a way that modern AI tooling can reason over**. Arranger exposes a live, structured description of your data, including field names, types, value distributions, and schema, making it a natural foundation for AI-assisted discovery. Our team is building an **[AI-Assisted Data Discovery](https://www.alliancecan.ca/en/latest/news/the-alliance-invests-in-transforming-research-software-to-accelerate-discovery)** platform that wraps self-hosted language models around Arranger-indexed datasets, allowing researchers to query and analyse data in plain language rather than constructing filters manually. diff --git a/website/docs/use-docs/workshop/05-Docker-Configuration.md b/website/docs/use-docs/workshop/05-Docker-Configuration.md index 9da15c0e..838c4c19 100644 --- a/website/docs/use-docs/workshop/05-Docker-Configuration.md +++ b/website/docs/use-docs/workshop/05-Docker-Configuration.md @@ -68,7 +68,7 @@ If services don't start correctly after changes: # Check container logs docker logs setup docker logs postgres -docker logs arranger-datatable1 +docker logs arranger docker logs stage # Verify PostgreSQL is healthy @@ -178,34 +178,38 @@ Adding a second dataset only requires a new SQL file in `setup/configs/postgresC ### Arranger -Each data table requires its own Arranger service instance. The volume mount connects the Arranger configuration files you generated to the running container, and the environment variables tell it how to reach Elasticsearch: +A single Arranger service provides the search API for your data. It reads one config directory per catalogue from the mounted `arrangerConfigs` folder; with one data table, that folder holds a single `datatable1` catalogue. The volume mount connects the Arranger configuration files you generated to the running container, and the environment variables tell it how to reach Elasticsearch: ```yaml showLineNumbers -arranger-datatable1: - image: ghcr.io/overture-stack/arranger-server:4919f736 - container_name: arranger-datatable1 +arranger: + image: ghcr.io/overture-stack/arranger-search-server:b5c6051b + container_name: arranger restart: unless-stopped volumes: # highlight-next-line - - ./setup/configs/arrangerConfigs/datatable1:/app/apps/search-server/configs + - ./setup/configs/arrangerConfigs:/app/configs # each subfolder is one catalogue environment: ES_HOST: http://elasticsearch:9200 # highlight-start ES_USER: ${ES_USER:-elastic} # update if changing Elasticsearch credentials ES_PASS: ${ES_PASSWORD:-myelasticpassword} # update if changing Elasticsearch credentials - ES_ARRANGER_SET_INDEX: datatable1_arranger_set # must be unique per Arranger instance + ES_ARRANGER_SET_INDEX: arranger_set # index for saved sets, shared across catalogues # highlight-end PORT: 5050 ``` -| Setting | What it controls | -| ----------------------- | ------------------------------------------------------------------------------------------- | -| Volume mount path | Which Arranger config directory is loaded, the `datatable1` segment matches your table name | -| `ES_USER` / `ES_PASS` | Credentials used to connect to Elasticsearch | -| `ES_ARRANGER_SET_INDEX` | Internal Arranger bookmarks index, must be unique per Arranger instance | +| Setting | What it controls | +| ----------------------- | --------------------------------------------------------------------------------------------- | +| Volume mount path | The parent config directory; each subfolder (here, `datatable1`) is served as one catalogue | +| `ES_USER` / `ES_PASS` | Credentials used to connect to Elasticsearch | +| `ES_ARRANGER_SET_INDEX` | Elasticsearch index Arranger uses to store saved sets | + +:::info Catalogue routing +With a single catalogue, Arranger serves it at the root: `http://arranger:5050/graphql`. Add more catalogues (see the tip below) and each is served under its own path instead: `http://arranger:5050//graphql`. +::: :::tip -Adding a second Arranger instance requires a new service block with a unique port, container name, config directory, and `ES_ARRANGER_SET_INDEX`. This is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. +Adding a second catalogue only requires a new config directory under `setup/configs/arrangerConfigs/`; the single Arranger service discovers it on restart and serves it at `//graphql`, no new service block needed. This is beyond the scope of this tutorial, but reach out via [contact@overture.bio](mailto:contact@overture.bio) if you'd like guidance afterwards. ::: ### Stage @@ -222,7 +226,7 @@ stage: # highlight-end # highlight-start - NEXT_PUBLIC_ARRANGER_DATATABLE_1_API: http://arranger-datatable1:5050 # must match Arranger service name and port + NEXT_PUBLIC_ARRANGER_DATATABLE_1_API: http://arranger:5050 # must match Arranger service name and port NEXT_PUBLIC_ARRANGER_DATATABLE_1_DOCUMENT_TYPE: records NEXT_PUBLIC_ARRANGER_DATATABLE_1_INDEX: datatable1_centric # must match ES_INDEX_0_ALIAS_NAME in setup NEXT_PUBLIC_DATATABLE_1_EXPORT_ROW_ID_FIELD: submission_metadata.submission_id diff --git a/website/docs/use-docs/workshop/07-Troubleshooting.md b/website/docs/use-docs/workshop/07-Troubleshooting.md index 0cb4d78a..b508b955 100644 --- a/website/docs/use-docs/workshop/07-Troubleshooting.md +++ b/website/docs/use-docs/workshop/07-Troubleshooting.md @@ -32,13 +32,13 @@ Confirm all containers are up: docker ps ``` -You should see `stage`, `arranger-datatable1`, `elasticsearch`, and `postgres`. If any are missing, check their logs: +You should see `stage`, `arranger`, `elasticsearch`, and `postgres`. If any are missing, check their logs: ```bash docker logs setup docker logs postgres docker logs elasticsearch -docker logs arranger-datatable1 +docker logs arranger docker logs stage ``` @@ -98,7 +98,7 @@ curl -X POST http://localhost:5050/graphql \ `documentType` in `base.json` is always `"records"`, so the GraphQL query always uses `{ records { hits { total } } }`. If you see a `Cannot query field` error, it means `base.json` has the wrong value; verify that `"documentType": "records"` is set correctly. ::: -This should return a document count. If it fails, check `docker logs arranger-datatable1`. Common causes: +This should return a document count. If it fails, check `docker logs arranger`. Common causes: - Elasticsearch is not yet healthy when Arranger starts, run `make restart` - `esIndex` in `base.json` doesn't match the alias in your Elasticsearch mapping diff --git a/website/docsPlugin.ts b/website/docsPlugin.ts index 1e512ced..d5a992c8 100644 --- a/website/docsPlugin.ts +++ b/website/docsPlugin.ts @@ -1,12 +1,61 @@ -module.exports = function(context, options) { - return { - name: "custom-docusaurus-plugin", - configureWebpack(config, isServer, utils) { - return { - resolve: { - symlinks: false - } - }; - } - }; - }; \ No newline at end of file +const path = require("path"); +const webpack = require("webpack"); + +// d3-dag's `exports` map blocks deep subpath imports, so resolve the ESM build +// as an absolute filesystem path (a sibling of the CJS `main` entry) — this +// bypasses the exports map, and an absolute alias target resolves directly. +const d3dagEsm = path.join( + path.dirname(require.resolve("d3-dag")), + "d3-dag.esm.min.mjs", +); + +module.exports = function (context, options) { + return { + name: "custom-docusaurus-plugin", + configureWebpack(config, isServer, utils) { + return { + resolve: { + symlinks: false, + alias: { + // The Lectern dictionary viewer (embedded in the Building + // Dictionaries playground) depends on d3-dag. d3-dag's CJS `main` + // build (which webpack picks when the CJS Lectern bundle require()s + // it) references Node built-ins (fs, vm, child_process, ...) in + // code paths that never run in the browser, which breaks the web + // bundle. Its ESM build is free of those references, so point the + // bare `d3-dag` specifier at it. + "d3-dag$": d3dagEsm, + }, + // Safety net: stub any remaining Node core-module references reached + // through browser-only third-party code so the web build never tries + // to bundle them. + fallback: { + fs: false, + path: false, + os: false, + vm: false, + url: false, + crypto: false, + stream: false, + module: false, + worker_threads: false, + child_process: false, + }, + }, + // d3-dag's CJS build carries a dynamic `require(expr)` in a code path + // the browser never reaches; it only lands in the server bundle (the + // playground is browser-only and never executes during SSR). Silence + // the resulting "Critical dependency" warning so the build stays clean. + ignoreWarnings: [{ module: /d3-dag/ }], + plugins: [ + // Rewrite `node:`-scheme built-in imports (e.g. `node:vm`) to their + // bare specifiers so the fallback stubs above can catch them; without + // this webpack throws UnhandledSchemeError on the web target. + new webpack.NormalModuleReplacementPlugin(/^node:/, (resource) => { + resource.request = resource.request.replace(/^node:/, ""); + }), + ], + }; + }, + }; +}; diff --git a/website/docusaurus.config.ts b/website/docusaurus.config.ts index edce5453..a967a6a8 100644 --- a/website/docusaurus.config.ts +++ b/website/docusaurus.config.ts @@ -118,8 +118,11 @@ const config: Config = { from: "/guides/deployment-guide/authorization", }, { - to: "/deploy/deployment/data-management-storage", - from: "/guides/deployment-guide/data-management-storage", + to: "/deploy/deployment/file-transfer", + from: [ + "/guides/deployment-guide/data-management-storage", + "/deploy/deployment/data-management-storage", + ], }, { to: "/deploy/deployment/search-portal", @@ -249,7 +252,10 @@ const config: Config = { ]; for (const component of components) { const prefix = `/develop/${component}`; - if (existingPath === prefix || existingPath.startsWith(`${prefix}/`)) { + if ( + existingPath === prefix || + existingPath.startsWith(`${prefix}/`) + ) { const rest = existingPath.slice("/develop/".length); return [ `/docs/core-software/${rest}`, @@ -403,7 +409,7 @@ const config: Config = { ], }, ], - copyright: `Copyright © ${new Date().getFullYear()} Overture, Inc. Built with Docusaurus.`, + copyright: `Copyright © ${new Date().getFullYear()} Copyright © 2026 Ontario Institute for Cancer Research. Built with Docusaurus.`, }, prism: { theme: prismThemes.github, diff --git a/website/package-lock.json b/website/package-lock.json index 5ee01ab0..981651b3 100644 --- a/website/package-lock.json +++ b/website/package-lock.json @@ -8,12 +8,20 @@ "name": "overture-docs", "version": "0.0.0", "dependencies": { + "@codemirror/lang-json": "^6.0.2", + "@codemirror/state": "^6.7.1", + "@codemirror/theme-one-dark": "^6.1.3", + "@codemirror/view": "^6.43.7", "@docusaurus/core": "^3.10.2", "@docusaurus/plugin-client-redirects": "^3.10.2", "@docusaurus/preset-classic": "^3.10.2", "@docusaurus/theme-mermaid": "^3.10.2", "@docusaurus/theme-search-algolia": "^3.10.2", "@mdx-js/react": "^3.0.0", + "@overture-stack/lectern-dictionary": "^2.0.0", + "@overture-stack/lectern-ui": "^1.0.0", + "@replit/codemirror-indentation-markers": "^6.5.3", + "@uiw/react-codemirror": "^4.25.11", "clsx": "^2.0.0", "prism-react-renderer": "^2.3.0", "react": "^18.0.0", @@ -291,15 +299,6 @@ "url": "https://github.com/sponsors/antfu" } }, - "node_modules/@antfu/utils": { - "version": "9.2.1", - "resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-9.2.1.tgz", - "integrity": "sha512-TMilPqXyii1AsiEii6l6ubRzbo76p6oshUSYPaKsmXDavyMLqjzVDkcp3pHp5ELMUNJHATcEOGxKTTsX9yYhGg==", - "license": "MIT", - "funding": { - "url": "https://github.com/sponsors/antfu" - } - }, "node_modules/@babel/code-frame": { "version": "7.29.7", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.7.tgz", @@ -1965,24 +1964,21 @@ } }, "node_modules/@babel/runtime": { - "version": "7.27.0", - "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.0.tgz", - "integrity": "sha512-VtPOkrdPHZsKc/clNqyi9WUA8TINkZ4cGk63UUE3u4pmB2k+ZMQRDuIOagv8UVd6j7k0T3+RRIb7beKTebNbcw==", + "version": "7.29.7", + "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.29.7.tgz", + "integrity": 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"https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==", "license": "ISC" }, + "node_modules/yaml": { + "version": "1.10.3", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.3.tgz", + "integrity": "sha512-vIYeF1u3CjlhAFekPPAk2h/Kv4T3mAkMox5OymRiJQB0spDP10LHvt+K7G9Ny6NuuMAb25/6n1qyUjAcGNf/AA==", + "license": "ISC", + "engines": { + "node": ">= 6" + } + }, "node_modules/yocto-queue": { "version": "1.2.2", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.2.2.tgz", @@ -20674,7 +22211,45 @@ "node_modules/zenscroll": { "version": "4.0.2", "resolved": "https://registry.npmjs.org/zenscroll/-/zenscroll-4.0.2.tgz", - "integrity": "sha512-jEA1znR7b4C/NnaycInCU6h/d15ZzCd1jmsruqOKnZP6WXQSMH3W2GL+OXbkruslU4h+Tzuos0HdswzRUk/Vgg==" + "integrity": "sha512-jEA1znR7b4C/NnaycInCU6h/d15ZzCd1jmsruqOKnZP6WXQSMH3W2GL+OXbkruslU4h+Tzuos0HdswzRUk/Vgg==", + "license": "Unlicense" + }, + "node_modules/zod": { + "version": "3.25.76", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", + "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/colinhacks" + } + }, + "node_modules/zustand": { + "version": "4.5.7", + "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.7.tgz", + "integrity": "sha512-CHOUy7mu3lbD6o6LJLfllpjkzhHXSBlX8B9+qPddUsIfeF5S/UZ5q0kmCsnRqT1UHFQZchNFDDzMbQsuesHWlw==", + "license": "MIT", + "dependencies": { + "use-sync-external-store": "^1.2.2" + }, + "engines": { + "node": ">=12.7.0" + }, + "peerDependencies": { + "@types/react": ">=16.8", + "immer": ">=9.0.6", + "react": ">=16.8" + }, + "peerDependenciesMeta": { + "@types/react": { + "optional": true + }, + "immer": { + "optional": true + }, + "react": { + "optional": true + } + } }, "node_modules/zwitch": { "version": "2.0.4", diff --git a/website/package.json b/website/package.json index 2eb74198..d5caeae8 100644 --- a/website/package.json +++ b/website/package.json @@ -15,18 +15,32 @@ "typecheck": "tsc" }, "dependencies": { + "@codemirror/lang-json": "^6.0.2", + "@codemirror/state": "^6.7.1", + "@codemirror/theme-one-dark": "^6.1.3", + "@codemirror/view": "^6.43.7", "@docusaurus/core": "^3.10.2", "@docusaurus/plugin-client-redirects": "^3.10.2", "@docusaurus/preset-classic": "^3.10.2", "@docusaurus/theme-mermaid": "^3.10.2", "@docusaurus/theme-search-algolia": "^3.10.2", "@mdx-js/react": "^3.0.0", + "@overture-stack/lectern-dictionary": "^2.0.0", + "@overture-stack/lectern-ui": "^1.0.0", + "@replit/codemirror-indentation-markers": "^6.5.3", + "@uiw/react-codemirror": "^4.25.11", "clsx": "^2.0.0", "prism-react-renderer": "^2.3.0", "react": "^18.0.0", "react-dom": "^18.0.0", "swagger-ui-react": "^5.29.2" }, + "overrides": { + "@overture-stack/lectern-ui": { + "react": "$react", + "react-dom": "$react-dom" + } + }, "devDependencies": { "@docusaurus/module-type-aliases": "^3.10.2", "@docusaurus/tsconfig": "^3.10.2", diff --git a/website/src/components/ConfigGenerator/index.tsx b/website/src/components/ConfigGenerator/index.tsx new file mode 100644 index 00000000..cdc84dff --- /dev/null +++ b/website/src/components/ConfigGenerator/index.tsx @@ -0,0 +1,310 @@ +/* + * Config Generator — embedded, client-side CSV → Overture configs playground. + * + * Ported from the Prelude IBCworkshop stage app. The original posted the CSV to + * a Next.js `/api/generate-configs` route; here the generation logic (lib/) runs + * directly in the browser, so nothing is sent to a server. + * + * Parametrized by `outputs` so each guide embeds its own focused instance: + * - Index Mappings -> outputs={['esMapping']} + * - Customizing the Portal -> outputs={['arrangerBase','arrangerExtended','arrangerTable','arrangerFacets']} + * Omitting `outputs` shows all generated configs. + * + * No browser-only modules are imported at load time (FileReader / clipboard / + * Blob are used inside handlers only), so this renders fine under SSR without a + * wrapper. + */ + +import React, { ChangeEvent, ReactElement, useRef, useState } from 'react'; + +import { generateConfigs, GeneratedConfigs } from './lib/generateConfigs'; +import styles from './styles.module.css'; + +type OutputKey = keyof GeneratedConfigs; + +interface OutputMeta { + label: string; + filename: string; + kind: 'json' | 'sql'; +} + +// Canonical order + display metadata for every generated config. +const OUTPUT_META: Record = { + esMapping: { label: 'elasticsearch-mapping.json', filename: 'elasticsearch-mapping.json', kind: 'json' }, + arrangerBase: { label: 'arranger/base.json', filename: 'base.json', kind: 'json' }, + arrangerExtended: { label: 'arranger/extended.json', filename: 'extended.json', kind: 'json' }, + arrangerTable: { label: 'arranger/table.json', filename: 'table.json', kind: 'json' }, + arrangerFacets: { label: 'arranger/facets.json', filename: 'facets.json', kind: 'json' }, + lecternDictionary: { label: 'lectern/dictionary.json', filename: 'dictionary.json', kind: 'json' }, + postgresSql: { label: 'postgres-table.sql', filename: 'postgres-table.sql', kind: 'sql' }, +}; + +const CANONICAL_ORDER: OutputKey[] = [ + 'esMapping', + 'arrangerBase', + 'arrangerExtended', + 'arrangerTable', + 'arrangerFacets', + 'lecternDictionary', + 'postgresSql', +]; + +const SAMPLE_CSV = [ + 'donor_id,gender,vital_status,primary_site,age_at_diagnosis,tumour_stage,survival_days', + 'DO001,Female,Alive,Breast,45,II,1200', + 'DO002,Male,Deceased,Lung,67,IV,340', + 'DO003,Female,Alive,Colorectal,52,III,890', + 'DO004,Male,Alive,Skin,38,I,1500', +].join('\n'); + +interface ConfigGeneratorProps { + /** Which configs to surface; defaults to all, in canonical order. */ + outputs?: OutputKey[]; + title?: string; + subtitle?: string; +} + +function formatOutput(key: OutputKey, configs: GeneratedConfigs): string { + const value = configs[key]; + return typeof value === 'string' ? value : JSON.stringify(value, null, 2); +} + +function deriveName(csvText: string, filename: string): string { + const base = filename.replace(/\.csv$/i, '') || csvText.split(',')[0] || 'data'; + return ( + base + .toLowerCase() + .replace(/[^a-z0-9]+/g, '_') + .replace(/^_+|_+$/g, '') + .slice(0, 40) || 'data' + ); +} + +function previewRows(csvText: string): string[][] { + return csvText + .split(/\r?\n/) + .filter((l) => l.trim()) + .slice(0, 6) + .map((line) => line.split(',').map((f) => f.replace(/^"|"$/g, '').trim())); +} + +const ConfigGenerator = ({ outputs, title, subtitle }: ConfigGeneratorProps): ReactElement => { + const requested = (outputs && outputs.length > 0 ? outputs : CANONICAL_ORDER).filter( + (k): k is OutputKey => k in OUTPUT_META, + ); + const orderedOutputs = CANONICAL_ORDER.filter((k) => requested.includes(k)); + const needsTableName = orderedOutputs.some((k) => k === 'postgresSql' || k === 'lecternDictionary'); + + const fileInputRef = useRef(null); + const [csvText, setCsvText] = useState(''); + const [filename, setFilename] = useState(''); + const [indexName, setIndexName] = useState(''); + const [tableName, setTableName] = useState(''); + const [configs, setConfigs] = useState(null); + const [activeTab, setActiveTab] = useState(orderedOutputs[0]); + const [copiedTab, setCopiedTab] = useState(null); + const [error, setError] = useState(null); + + const loadCsv = (text: string, name: string) => { + setCsvText(text); + setFilename(name); + setConfigs(null); + setError(null); + const derived = deriveName(text, name); + setIndexName((prev) => prev || derived); + setTableName((prev) => prev || derived); + }; + + const onFileChange = (e: ChangeEvent) => { + const file = e.target.files?.[0]; + if (!file) return; + const reader = new FileReader(); + reader.onload = (ev) => loadCsv(ev.target?.result as string, file.name); + reader.readAsText(file); + }; + + const runGenerate = (text: string, idx: string, tbl: string) => { + setError(null); + try { + const result = generateConfigs(text, idx, tbl); + setConfigs(result); + setActiveTab(orderedOutputs[0]); + } catch (err) { + setConfigs(null); + setError(err instanceof Error ? err.message : 'Generation failed'); + } + }; + + const loadExample = () => { + const name = 'clinical_data'; + setCsvText(SAMPLE_CSV); + setFilename('clinical_data.csv'); + setIndexName(name); + setTableName(name); + runGenerate(SAMPLE_CSV, name, name); + }; + + const copyTab = async (key: OutputKey) => { + if (!configs) return; + try { + await navigator.clipboard.writeText(formatOutput(key, configs)); + setCopiedTab(key); + setTimeout(() => setCopiedTab(null), 1500); + } catch { + // clipboard unavailable — no-op + } + }; + + const downloadTab = (key: OutputKey) => { + if (!configs) return; + const blob = new Blob([formatOutput(key, configs)], { + type: OUTPUT_META[key].kind === 'json' ? 'application/json' : 'text/plain', + }); + const url = URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = OUTPUT_META[key].filename; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + }; + + const rows = csvText ? previewRows(csvText) : []; + const canGenerate = Boolean(csvText.trim() && indexName.trim()); + + return ( +
    +
    +

    {title ?? 'Config Generator'}

    +

    + {subtitle ?? + 'Upload or paste CSV data and generate base configuration files in your browser. Nothing is sent to a server.'} +

    +
    + +
    + {/* Step 1 — CSV input */} +
    +

    1. Provide CSV data

    + +
    + + + {filename && {filename}} + +
    + + +

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- +
-

Andres Melani

+

Yelizar Alturmessov

+ DevOps
@@ -23,14 +24,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Ann Catton

+

Caroline Bridge

+ Software Developer
@@ -38,14 +40,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- +
-

Azher Ali

+

Ann Catton

+ Software Developer
@@ -61,6 +64,7 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C

Brandon Chan

+ Business Analyst
@@ -68,74 +72,15 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C
- - - -
-

Bhavik Bhagat

-
-
-
-
-
-
-
- - - -
-

Alexis Li

-
-
-
-
-
-
-
- - - -
-

Caroline Bridge

-
-
-
-
-
-
-
- - - -
-

Christina Yung

-
-
-
-
-
-
-
- +
-

Ciarán Schütte

+

Melanie Courtot

+ Director & Principal Investigator
@@ -151,6 +96,7 @@ Overture is managed by the Genome Informatics team at the Ontario Institute of C

Daniel DeMaria

+ Software Developer

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