graphql-engine/server/CONTRIBUTING.md
Auke Booij a7dbe95666 Hlint all Haskell code
So far we've only used `hlint` to lint the OSS code. This moves some things around to lint the Pro code as well.

Note that the CI action only runs `hlint` on Haskell files that are _changed_ by a PR, relative to its merge-base (usually `main`).

As a reminder, you can use the `ignore-server-hlint-checks` label to prevent this from blocking a merge.

PR-URL: https://github.com/hasura/graphql-engine-mono/pull/3383
GitOrigin-RevId: d5779c63d780f526a1d58ae4107f0d5262a23ec1
2022-01-18 04:06:15 +00:00

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Contributing

This guide explains how to set up the graphql-engine server for development on your own machine and how to contribute.

Pre-requisites

  • GHC 8.10.2 and cabal-install
    • There are various ways these can be installed, but ghcup is a good choice if youre not sure.
  • There are few system packages required like libpq-dev, libssl-dev, etc. The best place to get the entire list is from the packager Dockerfile

For building console and running test suite:

  • Node.js (v12+, it is recommended that you use node with version v12.x.x A.K.A erbium or version 14.x.x A.K.A Fermium)
  • npm >= 5.7
  • python >= 3.5 with pip3 and virtualenv

Additionally, you will need a way to run a Postgres database server. The dev.sh script (described below) can set up a Postgres instance for you via Docker, but if you want to run it yourself, youll need:

Upgrading npm

If your npm is too old (>= 5.7 required):

$ npm install -g npm@latest   # sudo may be required

or update your nodejs.

Development workflow

You should fork the repo on github and then git clone https://github.com/<your-username>/graphql-engine. After making your changes

Compile

...console assets:

$ cd console
$ npm ci
$ npm run server-build
$ cd ..

...and the server:

$ ln -s cabal.project.dev cabal.project.local
$ cabal new-update
$ cabal new-build graphql-engine

To set up the project configuration to coincide with the testing scripts below, thus avoiding recompilation when testing locally, rather use cabal.project.dev-sh.local instead of cabal.project.dev:

$ ln -s cabal.project.dev-sh.local cabal.project.local

IDE Support

You may want to use hls/ghcide if your editor has LSP support. A sample configuration has been provided which can be used as follows:

ln -s sample.hie.yaml hie.yaml

If you have to customise any of the options for ghcide/hls, you should instead copy the sample file and make necessary changes in hie.yaml file. Note that hie.yaml is gitignored so the changes will be specific to your machine.

cp sample.hie.yaml hie.yaml

Run and test via dev.sh

The dev.sh script in the top-level scripts/ directory is a turnkey solution to build, run, and test graphql-engine using a Docker container to run a Postgres database. Docker is necessary to use dev.sh.

To use dev.sh, first launch a new postgres container with:

$ scripts/dev.sh postgres

Then in a new terminal launch graphql-engine in dev mode with:

$ scripts/dev.sh graphql-engine

The dev.sh will print some helpful information and logs from both services will be printed to screen.

You can run the test suite with:

$ scripts/dev.sh test

This should run in isolation. The output format is described in the pytest documentation. Errors and failures are indicated by Fs and Es.

Optionally, launch a new container for alternative (MSSQL) backend with:

$ scripts/dev.sh mssql

Tests can be run against a specific backend (defaulting to Postgres) with the backend flag, for example:

$ scripts/dev.sh test --integration -k TestGraphQLQueryBasicCommon --backend (bigquery|citus|mssql|postgres)

Run and test manually

If you want, you can also run the server and test suite manually against an instance of your choosing.

Run

The following command can be used to build and launch a local graphql-engine instance:

cabal new-run -- exe:graphql-engine \
  --database-url='postgres://<user>:<password>@<host>:<port>/<dbname>' \
  serve --enable-console --console-assets-dir=console/static/dist

This will launch a server on port 8080, and it will serve the console assets if they were built with npm run server-build as mentioned above.

Test

graphql-engine has several test suites, among them:

  1. A small set of unit tests and integration tests written in Haskell, in server/src-test.

  2. A new integration test suite written in Haskell, in server/tests-hspec.

  3. An extensive set of end-to-end tests written in Python, in server/tests-py.

All sets of tests require running databases:

  • some unit tests hit the database, and running the unit test suite requires passing in a postgres connection string,
  • the Haskell integration test suite requires databases to run (they can be started via the docker command listed below),
  • the Python integration test suite also requires databases AND the engine to be running, which can be started via either the dev.sh script, or manually.
Running py tests

The easiest way to run the Python integration test suite is by running:

scripts/dev.sh test --integration

For more details please check out the README at server/tests-py/README.

Running the Haskell test suite
cabal new-run -- test:graphql-engine-tests unit
HASURA_GRAPHQL_DATABASE_URL='postgres://<user>:<password>@<host>:<port>/<dbname>' \
    cabal new-run -- test:graphql-engine-tests postgres
Running the Haskell integration test suite
  1. To run the Haskell integration test suite, you'll first need to bring up the database containers:
docker-compose up
  1. Once the containers are up, you can run the test suite via
cabal test tests-hspec --test-show-details=direct

Building with profiling

To build with profiling support, you need to both enable profiling via cabal and set the profiling flag. E.g.

cabal build exe:graphql-engine -f profiling --enable-profiling

Create Pull Request

  • Make sure your commit messages meet the guidelines.
  • If you changed the versions of any dependencies, run cabal new-freeze to update the freeze file.
  • Create a pull request from your forked repo to the main repo.
  • Every pull request will automatically build and run the tests.

Code conventions

The following conventions help us maintain a uniform style for all committers: make sure your contributions are in line with them.

We enforce these by means of CI hooks which will fail the build if any of these are not met.

  • No compiler warnings: Make sure your code builds with no warnings (adding -Werror to ghc-options in your cabal.project is a good way of checking this.)
  • No lint failures: Use hlint with our custom config to validate your code, using hlint --hint=../.hlint.yaml.
  • Consistent formatting: Use ormolu to format your code. ormolu -ei '*.hs' will format all files with a .hs extension in the current directory.
  • Consistent style: Consider the style guide when writing new code.