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-0.3.6.tar.gz (11.8 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-0.3.6-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file f3_data_models-0.3.6.tar.gz.

File metadata

  • Download URL: f3_data_models-0.3.6.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.12.1 Linux/6.8.0-1021-azure

File hashes

Hashes for f3_data_models-0.3.6.tar.gz
Algorithm Hash digest
SHA256 1012078639c0c5dbfcb91454844e4bfef429ae0a93ab42f7405ccaedfb3d8b24
MD5 5bfc98a9274da8be3e6ec6f0bd3c8505
BLAKE2b-256 a9366e5e573406d601f19115ff875c25af63afab50affa1f1f16d08e0e14b5fc

See more details on using hashes here.

File details

Details for the file f3_data_models-0.3.6-py3-none-any.whl.

File metadata

  • Download URL: f3_data_models-0.3.6-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.12.1 Linux/6.8.0-1021-azure

File hashes

Hashes for f3_data_models-0.3.6-py3-none-any.whl
Algorithm Hash digest
SHA256 6a77e2d27100f1c3a4642eae5c247f1a97fca582f4f912661ea2a7be876f14f6
MD5 a2b518dd41e8e309704a8f70f7feb1b2
BLAKE2b-256 74e917ae0007f9d3c3862fe9a0aa18876746cfa5da62a4ad111d9a781bef12f5

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