journal.md

Biodiv project

ToDO

• test apply() in detection

• make detectorV1 work

• Commit your code

  • CI should work.

• Back to website/docker etc.

  • integration test would be nice.

• add minimal tests to flask app.

  • screwing around in biodiv should break the flask tests.

• solve relative imports and such, everything in one package for now.

-- back in docker--

• Use NGINX to serve static and for server... backend ?
• use volumes and mount to manage static files.
• Use detector CLI
  • first docker build: review structure with udemy class.
  • Test it using mount
  • Make Vs code docker extension specific to your project.
  • Add test and use docker build on Travis
• package biodiv or your whole project as a wheel with setup tools. see: https://packaging.python.org/tutorials/packaging-projects/
  • consider using poetry. its just a wrapper that creates a wheel. https://python-poetry.org/docs/basic-usage/

Up next

• transform your webapp into a labeller.

mid term

• super simple web app to wrap functions above.
  • 1 container for the app, one for the detection.
• put it on AWS.
• add detection with YOLO instead of biodiv.

Goal of the project

• Practice testing
• First foray into CI/CD
• Tesing flask apps (integration tests)
• docker
• multi-container app with docker compose
• using nginx to serve content, enable logging.
• combine above on the cloud.