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cp .env.example .env
docker network create ffmemes_network
docker-compose up -d --build
Don't forget to fill the local .env
file with all envs you need.
Before sending a PR you must test your new code. The easiest way is to run ipython
shell, then import the functions you may need and test them. Note that ipython can run async functions without wrapping them with asyncio.run(...)
.
docker compose exec app ipython
Format the code with ruff --fix
and ruff format
docker compose exec app format
- Create an automatic migration from changes in
src/database.py
docker compose exec app makemigrations *migration_name*
- Run migrations
docker compose exec app migrate
- Downgrade migrations
docker compose exec app downgrade -1 # or -2 or base or hash of the migration
All tests are integrational and require DB connection.
One of the choices I've made is to use default database (postgres
), separated from app's app
database.
- Using default database makes it easier to run tests in CI/CD environments, since there is no need to setup additional databases
- Tests are run with upgrading & downgrading alembic migrations. It's not perfect, but works fine.
Run tests
docker compose exec app pytest
The template is using Just.
It's a Makefile alternative written in Rust with a nice syntax.
You can find all the shortcuts in justfile
or run the following command to list them all:
just --list
Info about installation can be found here.
We are using pg_dump
and pg_restore
to backup and restore the database.
- Backup
just backup
# output example
Backup process started.
Backup has been created and saved to /backups/backup-year-month-date-HHMMSS.dump.gz
- Copy the backup file or a directory with all backups to your local machine
just mount-docker-backup # get all backups
just mount-docker-backup backup-year-month-date-HHMMSS.dump.gz # get a specific backup
- Restore
just restore backup-year-month-date-HHMMSS.dump.gz
# output example
Dropping the database...
Creating a new database...
Applying the backup to the new database...
Backup applied successfully.
SET pg_trgm.similarity_threshold = 0.6;