{"id":16509540,"url":"https://github.com/pythonhubdev/videoverse-backend","last_synced_at":"2025-03-02T06:14:38.948Z","repository":{"id":253380306,"uuid":"843323202","full_name":"pythonhubdev/videoverse-backend","owner":"pythonhubdev","description":"A robust REST API for video file management, supporting upload, trimming, merging, and secure sharing. 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Built with\nPython, FastAPI, and AWS S3, featuring configurable limits and time-based expiring links.\n\n## Poetry\n\nThis project uses poetry. It's a modern dependency management\ntool.\n\nTo run the project use this set of commands:\n\n```bash\npoetry install\npoetry run python -m videoverse_backend\n```\n\nThis will start the server on the configured host.\n\nYou can find swagger documentation at `/api/docs`.\n\nYou can read more about poetry here: https://python-poetry.org/\n\n## Docker\n\nYou can start the project with docker using this command:\n\n```bash\ndocker-compose up --build\n```\n\nIf you want to develop in docker with autoreload and exposed ports add `-f deploy/docker-compose.dev.yml` to your docker\ncommand.\nLike this:\n\n```bash\ndocker-compose -f docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . up --build\n```\n\nThis command exposes the web application on port 8000, mounts current directory and enables autoreload.\n\nBut you have to rebuild image every time you modify `poetry.lock` or `pyproject.toml` with this command:\n\n```bash\ndocker-compose build\n```\n\n## Project structure\n\n```bash\n$ tree \"videoverse_backend\"\nvideoverse_backend\n├── conftest.py  # Fixtures for all tests.\n├── db  # module contains db configurations\n│   ├── dao  # Data Access Objects. Contains different classes to interact with database.\n│   └── models  # Package contains different models for ORMs.\n├── __main__.py  # Startup script. Starts uvicorn.\n├── services  # Package for different external services such as rabbit or redis etc.\n├── settings.py  # Main configuration settings for project.\n├── static  # Static content.\n├── tests  # Tests for project.\n└── web  # Package contains web server. Handlers, startup config.\n    ├── api  # Package with all handlers.\n    │   └── router.py  # Main router.\n    ├── application.py  # FastAPI application configuration.\n    └── lifespan.py  # Contains actions to perform on startup and shutdown.\n```\n\n## Configuration\n\nThis application can be configured with environment variables.\n\nYou can create `.env` file in the root directory and place all\nenvironment variables here.\n\nAn example of .env file:\n\n```bash\nRELOAD=\"True\"\nPORT=\"8000\"\nENVIRONMENT=\"dev\"\n```\n\n## Pre-commit\n\nTo install pre-commit simply run inside the shell:\n\n```bash\npre-commit install\n```\n\npre-commit is very useful to check your code before publishing it.\nIt's configured using .pre-commit-config.yaml file.\n\nBy default, it runs:\n\n* mypy (validates types);\n* ruff (spots possible bugs);\n\nYou can read more about pre-commit here: https://pre-commit.com/\n\n## Migrations\n\nIf you want to migrate your database, you should run following commands:\n\n```bash\n# To run all migrations until the migration with revision_id.\nalembic upgrade \"\u003crevision_id\u003e\"\n\n# To perform all pending migrations.\nalembic upgrade \"head\"\n```\n\n### Reverting migrations\n\nIf you want to revert migrations, you should run:\n\n```bash\n# revert all migrations up to: revision_id.\nalembic downgrade \u003crevision_id\u003e\n\n# Revert everything.\n alembic downgrade base\n```\n\n### Migration generation\n\nTo generate migrations you should run:\n\n```bash\n# For automatic change detection.\nalembic revision --autogenerate\n\n# For empty file generation.\nalembic revision\n```\n\n## Running tests\n\nIf you want to run it in docker, simply run:\n\n```bash\ndocker-compose run --build --rm api pytest -vv .\ndocker-compose down\n```\n\nFor running tests on your local machine.\n\nRun the pytest.\n\n```bash\npytest -vv .\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhubdev%2Fvideoverse-backend","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonhubdev%2Fvideoverse-backend","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhubdev%2Fvideoverse-backend/lists"}