What for (block generated with Copilot):

1. play with radar API & Business account rights
2. play with airflow and other stuff
3. check how much flights was in the air in the last 24 hours (e.g. you gonna bought a dacha and want to know how much flights will be over the head)

Image (generated with Shedevrum.ai)

Reqs:

• python 3.10.10, Docker

How to run (finally I did this block by myself):

1. run PostgresSQL Docker docker-compose -f docker/docker-compose.dev.yml up -d
2. initDB with: python planetrack_collector/bin/pg-init-scripts/init.py working directory: root: planetrack_collector
3. install reqs file & run flask APP: FLASK_APP=run.py FLASK_ENV=config.DevelopmentConfig all other ENV VARS specified in config.py, like TRACKING_ARIA, RADAR_LOGIN, RADAR_PASSWORD etc.
4. erase airflow dir and install with official documentation by: airflow/install.sh docker-compose -f airflow/docker-compose.yaml up -d
5. use declared dag: airflow/dags/count_of_tracks.py
6. dag create the report but not store it anywhere cos: https://airflow.apache.org/docs/apache-airflow/stable/best-practices.html in alternative reality it should be sent to s3 or simular

4-5* Use an external network in the downloaded docker-compose airflow file (otherwise postgres data and airflow are not seeing each other):

networks: proxy-net: name: docker_data-net external: true

Such network already mentioned in Postgres data storage dc, just add this in each airflow service:

networks: -proxy-net

Example of modified dc provided: airflow/docker-compose.yaml Result:

Feel free to reach me out or open an issue if you have any questions or suggestions.