Skip to main content

The data schema and models for F3 Nation applications.

Project description

Overview

This repository defines the F3 data structure, used by the F3 Slack Bot, Maps, etc. The projected uses SQLAlchemy to define the tables / models.

Running Locally

To load the data structure in your database:

  1. Set up a local db, update .env.example and save as .env
  2. Clone the repo, use Poetry to install dependencies:
poetry env use 3.12
poetry install
  1. Run the alembic migration:
source .env && poetry run alembic upgrade head

Contributing

If you would like to make a change, you will need to:

  1. Make the change in models.py
  2. Make a alembic revision:
source .env && alembic revision --autogenerate -m "Your Message Here"
  1. Make any edits to the migration script in alembic/versions
  2. Run the upgrade on your local db:
source .env && alembic upgrade head
  1. Bump the version on pyproject.toml:
poetry version patch[minor][major]
  1. Tag your final commit and make sure to push those tags to trigger the pypi package build:
git tag <new_version> -a -m "Your message here"
git push origin --tags

[!NOTE] The github pages documentation will be updated when you push to main, but if you would like to preview locally, run:

poetry run sphinx-build -b html docs docs/_build/html
cd docs
poetry run python -m http.server --directory _build/html

[!TIP]
Adding new fields as nullable (ie Optional[]) has the best chance of reducing breaking changes to the apps.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

f3_data_models-0.1.8.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

f3_data_models-0.1.8-py3-none-any.whl (9.9 kB view details)

Uploaded Python 3

File details

Details for the file f3_data_models-0.1.8.tar.gz.

File metadata

  • Download URL: f3_data_models-0.1.8.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.1 Linux/6.8.0-1017-azure

File hashes

Hashes for f3_data_models-0.1.8.tar.gz
Algorithm Hash digest
SHA256 77dcaa597228903045e606da83aa69a0040f4c772de18efcdec3947b3c7ca0ed
MD5 02b132c2ef6a00a089ff5840fa27b958
BLAKE2b-256 289d2e00b0748bc9652386d7f457e485ec1212b12a6f48193c60738c321edc6d

See more details on using hashes here.

File details

Details for the file f3_data_models-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: f3_data_models-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 9.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.1 Linux/6.8.0-1017-azure

File hashes

Hashes for f3_data_models-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 827e23cb47a3d2179d2c42820f9730d831dcef2dad76dc3bbdd4c2a620e130c3
MD5 b9dae84d55af788d1e4138eb849d3390
BLAKE2b-256 15afd104cc0c6c0bfddd229d6bec2641b1fea398c758c6d5be1ac1f038bc36ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page