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License: MIT

SoA Workbench

This workspace provides a Python package soa_builder with APIs to create a Schedule of Activites for Clinical Studies.

Cloning the repository

This project now includes a submodule for USDM JSON validation with the USDM_API_v4.0.0.json schema.

In order to clone the repository with the new submodule, use the command:

> git clone --recurse-submodules https://github.com/pendingintent/soa-workbench.git

Once the repository has been cloned locally, in order to ensure the submodule is up-to-date, use the commands:

> cd cdisc-json-validation
> git pull
# or use the command for updating all registered submodules
> git submodule update --remote

This will ensure the submodule is always up-to-date.

Installation

Recommended: editable install for development.

> python3 -m venv .venv
> source .venv/bin/activate
> pip install -r requirements.txt
> pre-commit install
> pre-commit run --all-files

Start web server

soa-builder-web  # starts uvicorn on 0.0.0.0:8000 with reload

Or manually:

uvicorn soa_builder.web.app:app --reload --port 8000

HTML UI:

  • Open http://localhost:8000/ in a browser.
  • Create a new Schedule of Activities for a study or access an existing one.
    • When a study is chosen, additional navigation links are available in the navigation menu that are unique to the Study context.
    • More options and parameters for configuring the USDM classes are available through these navigation links.
  • Add Scheduled Activity instances (columns) and activities (rows) to create an SoA matrix on the edit page for a Study; click cells to toggle status (blank -> X -> blank). 'O' values are not surfaced in the UI; clearing removes the cell row.
  • Use export buttons (to be added) for XLSX output of the Matrix.
  • View avialable biomedical concepts via the "Biomedical Concepts" navigation link to render a table of concept codes, titles and API links (cached; force refresh available).
  • View available data set specializations via the "SDTM Dataset Specializations" navigation link to render a table of specializations and API links to view associated concepts (cached; force refresh available).

CDISC Library API Access:

  • The concepts list and detail pages call the CDISC Library API.
  • Set one (or both) of: CDISC_SUBSCRIPTION_KEY, CDISC_API_KEY.
  • The server will send all of these headers when possible:
    • Ocp-Apim-Subscription-Key: <key>
    • Authorization: Bearer <key> (when CDISC_API_KEY provided)
    • api-key: <key> (legacy fallback)
  • If only one key is defined it is reused across header variants.
  • Directly opening the API URL in the browser will 401 because the browser does not attach the required headers; use the internal detail page or an API client (curl/Postman) with the headers above.

Development & Testing

Run unit tests:

pytest

Test database

  • Tests run against a separate SQLite file to avoid touching your local/prod data.
  • Default path: soa_builder_web_tests.db in the repo root. Override with env var SOA_BUILDER_DB.
  • A pytest session fixture removes any stale test DB/WAL/SHM files at start to prevent I/O errors.
  • Manually clear the test DB before a run if needed:
rm -f soa_builder_web_tests.db soa_builder_web_tests.db-wal soa_builder_web_tests.db-shm

Full API Documentation: See README_endpoints.md for complete endpoint reference with curl examples, request/response schemas, and usage patterns.

Endpoint Catalog: See docs/api_endpoints.csv for sortable/filterable list of all 165+ endpoints.

USDM Export

Export USDM-compliant JSON for integration with external systems:

# Use the USDM generator scripts directly
python -m usdm.generate_usdm 1 -o study_usdm.json
python -m usdm.generate_activities 1 -o activities.json
python -m usdm.generate_encounters 1 -o encounters.json
python -m usdm.generate_study_epochs 1 -o epochs.json
# See src/usdm/ for all generator scripts

Architecture Notes

  • Database: SQLite with WAL mode (production) or DELETE mode (tests)
  • Test Isolation: Tests use soa_builder_web_tests.db (set via SOA_BUILDER_DB env var)
  • Production Config: Set SOA_BUILDER_DB environment variable for persistent DB path
  • USDM Generators: Python scripts in src/usdm/ transform database state → USDM JSON artifacts

About

Addressing the comment there are too few tools for the creation of a clinical trial schedule of activities to support the generation of USDM JSON

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