Online cinema api

This is a pet project based on Yandex-Practice course. The main idea is to create back-end services for online cinema. The project includes:

• Admin panel
• Transfering data from initial SQLite database
• ETL from Postgres to Elastic Search
• Endpoints for reading data fast, from Elastic search

To start up

Docker

Prefered way with docker compose Start wth moving example sample.env to .env.

docker-compose up -d --build

Add some data

To to add some data go to airflow worker container and

• cd /srv/app/
• python
• from etl.sqlite_to_postgres import main
• main()

After that you can observe data in admin panel

Check some pages in browser

The admin panel can be found at http://127.0.0.1/admin/. Default creadentials can be found in .env. Feel free to check admin, 123qwe first

The air flow webserver at http://127.0.0.1/airflow/. Default credentials are airflow, airflow

The OpenApi can be found at http://127.0.0.1/api/openapi

To run ETL from Postgres to Elsatic search trigger graph http://127.0.0.1/airflow/dags/movies_etl_pg_to_es

To develop

Requirements

For local development and typing support it's reccomended to install all packages for all images as follows:

pip install -r requirements-dev.txt \
    -r etc/compose/admin_panel/requirements.txt \
    -r etc/compose/airflow/requirements.txt \
    -r etc/compose/movies_api/requirements.txt

Hooks

Install hoks with flake8, isort and black to maintain codestyle

pre-commit install

Docker

There is dedicated sample.docker-compose.override.yml file to separate production from development. For the ease of development there is an opption to mount directories with code and edit code inside container. To enable it jsut

• cp sample.docker-compose.override.yml docker-compose.override.yml
• docekr-compose up -d

And you changes will appear in containers

Run tests

ETL

Go to airflow-worker container and

• cd /srv/app/
• sh test.sh

API

Go to api container and run

• cd /app/tests/api
• pytest src