happymeter 1.1.0

Find out how happy you are

happymeter :blush:

Find out how happy you are

ML model based on Somerville Happiness Survey Data Set.

To run locally (from root folder):

• create virtual environment: python -m venv .venv
• install dependencies: poetry install --no-root
• launch backend: poetry run uvicorn src.app.main:app --port=8080 --reload
• launch front-end: poetry run streamlit run src/streamlit/ui.py --server.port 8501
• pre-commit: poetry run pre-commit run --all-files
• unit tests: poetry run pytest --cov=. --cov-report=html
• coverage badge:
  • coverage report
  • coverage xml -o ./reports/coverage/coverage.xml
  • coverage html
  • move /y .\htmlcov\index.html .\reports\coverage
  • genbadge coverage --output-file reports/coverage/coverage-badge.svg
• docker backend:
  • docker build -t backend-image -f Dockerfile.backend .
  • docker run --name backend-container -p 8080:8080 --rm backend-image
• docker frontend:
  • docker build -t frontend-image -f Dockerfile.frontend .
  • docker run --name frontend-container -p 8501:8501 --rm frontend-image
• docker compose:
  • docker compose build
  • docker compose up