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DGIdb v5

A from-scratch rewrite of the Drug-Gene Interaction Database.

For developers

Initial dependencies

First, make sure you have all of the following installed:

Clone and enter the repository:

git clone https://github.com/dgidb/dgidb-v5
cd dgidb-v5

Server setup

First, you may need to switch your Ruby version with RVM to match the version declared in the first few lines of the Gemfile. For example, to switch to version 3.1.0:

rvm install 3.1.0
rvm 3.1.0

From the repo root, enter the server subdirectory:

cd server

If RVM is properly installed, you should expect to encounter a warning message here:

RVM used your Gemfile for selecting Ruby, it is all fine - Heroku does that too,
you can ignore these warnings with 'rvm rvmrc warning ignore ./Gemfile'.
To ignore the warning for all files run 'rvm rvmrc warning ignore allGemfiles'.

Next, install Rails and other required gems with bundle:

bundle install

The server will need a running Postgres instance. Postgres start commands may vary based on your OS and processor type. The following should work on M1 Macs:

pg_ctl -D /opt/homebrew/var/postgres start
# on older macs you may need to use a different path instead, eg "pg_ctl -D /usr/local/var/postgres start"

The database must be constructed manually. This command will also vary, but it should be something like this:

createdb -U postgres dgidb

Next, back in the main shell, import a database dump file (ask on Slack if you need the latest file):

psql -d dgidb -f dgidb_dump_20220526.psql  # provide path to data dump

That should take a few minutes. Finally, start the Rails server:

rails s

Navigate to localhost:3000/api/graphiql in your browser. If the example query provided runs successfully, then you're all set.

Data loading

To perform a data load from scratch, first run the reset task to provide a clean, seeded DB:

rake db:reset

Some Python libraries are required for importing data. From the repo root, create a Python virtual environment and install required dependencies:

python3 -m venv .venv
source .venv/bin/activate
pip install -r scripts/requirements.txt

A Python script is supplied to ensure that primary source data is available. This can also be used to acquire new versions of data that supply discrete releases (like ChEMBL):

python3 scripts/download_files.py

Then, load claims:

rake dgidb:import:all

Then, run grouping. See documentation for the therapy and gene normalizers for more.

By default, the groupers will expect a normalizer service to be running locally on port 8000; use the THERAPY_HOSTNAME and GENE_HOSTNAME environment variables to specify alternate hosts:

export THERAPY_HOSTNAME=http://localhost:7999
rake dgidb:group:drugs
export GENE_HOSTNAME=http://localhost:7998
rake dgidb:group:genes
rake dgidb:group:interactions

Finally, normalize remaining metadata:

rake dgidb:normalize:drug_approval_ratings
rake dgidb:normalize:drug_types
rake dgidb:normalize:populate_source_counters

Client setup

Navigate to the /client directory:

# from dgidb-v5 root
cd client

Install dependencies with yarn:

yarn install

Start the client:

yarn start

Frontend style is enforced by ESLint and Prettier. Conformance is ensured by pre-commit. Before your first commit, run

pre-commit install

In practice, Prettier will do most of the formatting work for you to be in accordance with ESLint. Run the following to autoformat a file:

yarn run prettier --write path/to/file

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