The majority of the CHORD Metadata Service is licensed under the LGPLv3 license; copyright (c) 2019-2020 the Canadian Centre for Computational Genomics.

Portions are copyright (c) 2019 Julius OB Jacobsen, Peter N Robinson, Christopher J Mungall (Phenopackets); licensed under the BSD 3-clause license.

CHORD Metadata Service is a service to store epigenomic metadata.

1. Patients service handles anonymized individual’s data (individual id, sex, age or date of birth)

   • Data model: aggregated profile from GA4GH Phenopackets Individual and FHIR Patient

2. Phenopackets service handles phenotypic and clinical data

   • Data model: GA4GH Phenopackets schema

3. CHORD service handles metadata about dataset, has relation to phenopackets (one dataset can have many phenopackets)

   • Data model: DATS + GA4GH DUO

4. Rest api service handles all generic functionality shared among other services

• Standard api delivers data in snake_case. To retrieved data in json compliant with phenopackets that uses camelCase append ?format=phenopackets .

• Data can be ingested and retrieved in snake_case or camelCase.

• Other available renderers: Phenopackets model is mapped to FHIR using Phenopackets on FHIR implementation guide. To retrieve data in fhir append ?format=fhir .

• Ingest endpoint: /private/ingest. Example of POST body is in chord/views_ingest.py (METADATA_WORKFLOWS).

Install the git submodule for DATS JSON schemas (if you did not clone recursively):

git submodule update --init

The service uses PostgreSQL database for data storage.

• Create and activate virtual environment
• Run: pip install -r requirements.txt
• Configure database connection in settings.py

e.g. settings if running database on localhost, default port for PostgreSQL is 5432:

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql_psycopg2',
        'NAME': 'database_name',
        'USER': 'user',
        'PASSWORD': 'password',
        'HOST': 'localhost',
        'PORT': '5432',
    }
}

• Run:

python manage.py makemigrations
python manage.py migrate
python manage.py runserver

• Development server runs at localhost:8000

Default authentication can be set globally in settings.py

REST_FRAMEWORK = {
    'DEFAULT_AUTHENTICATION_CLASSES': [
    	'rest_framework.authentication.BasicAuthentication',
    	'rest_framework.authentication.SessionAuthentication',
    ]
}
# ...
AUTHENTICATION_BACKENDS = ["django.contrib.auth.backends.ModelBackend"]

By default, the service ships with a custom remote user middleware and backend compatible with the CHORD project. This middleware isn't particularly useful for a standalone instance of this server, so it can be swapped out.

By default, chord_metadata_service uses the CHORD permission system, which functions as follows:

• URLs under the /private namespace are assumed to be protected by an out-of-band mechanism such as a properly-configured reverse proxy.
• Requests with the headers X-User and X-User-Role can be authenticated via a Django Remote User-type system, with X-User-Role: owner giving access to restricted endpoints and X-User-Role: user giving less trusted, but authenticated, access.

This can be turned off with the CHORD_PERMISSIONS environment variable and/or Django setting, or with the AUTH_OVERRIDE Django setting.

All new feature requests and non-critical bug fixes should be merged into the develop branch. develop is treated as a "nightly" version. Releases are created from develop-to-master merges; patch-release work can be branched out and tagged from the tagged major/minor release in master.

Tests are located in tests directory in an individual app folder.

Run all tests for the whole project:

python manage.py test

Run tests for an individual app, e.g.:

python manage.py test chord_metadata_service.phenopackets.tests.test_api

Create coverage html report:

coverage run manage.py test
coverage html

Assuming chord_singularity is being used, the following commands can be used to bootstrap your way to a chord_metadata_service environment within a CHORD container:

./dev_utils.py --node x shell
source /chord/services/metadata/env/bin/activate
source /chord/data/metadata/.environment
export $(cut -d= -f1 /chord/data/metadata/.environment)
DJANGO_SETTINGS_MODULE=chord_metadata_service.metadata.settings django-admin shell

From there, you can import models and query the database from the REPL.