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.

Entity Overview

---
config:
    look: handDrawn
    theme: dark
---

erDiagram
    USERS ||--|{ ATTENDANCE : have
    ATTENDANCE }|--|| EVENT_INSTANCES: at
    ATTENDANCE }|..|{ ATTENDANCE_TYPES : "are of type(s)"
    EVENT_INSTANCES }|..|| EVENTS : "part of series"
    EVENT_INSTANCES }|..|{ EVENT_TYPES : "with type(s)"
    EVENTS }|..|{ EVENT_TYPES : "with type(s)"
    EVENT_INSTANCES }|--|| ORGS : "belong to"
    EVENT_INSTANCES }|..|| LOCATIONS : "at"
    EVENTS }|--|| ORGS : "belong to"
    EVENTS }|..|| LOCATIONS : "at"
    SLACK_SPACES ||..|| ORGS : "are connected to"
    USERS ||..|{ SLACK_USERS : "have one or more"
    SLACK_USERS }|--|| SLACK_SPACES : "belong to"
    USERS }|..|{ ACHIEVEMENTS : "earn"
    USERS }|..|{ ROLES : "have"
    ROLES ||..|{ PERMISSIONS : "have"
    ROLES }|..|{ ORGS : "in"
    USERS }|..|{ POSITIONS : "hold"
    POSITIONS }|..|{ ORGS : "in"

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-0.5.17.tar.gz (14.7 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-0.5.17-py3-none-any.whl (14.4 kB view details)

Uploaded Python 3

File details

Details for the file f3_data_models-0.5.17.tar.gz.

File metadata

  • Download URL: f3_data_models-0.5.17.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.1 Linux/6.11.0-1015-azure

File hashes

Hashes for f3_data_models-0.5.17.tar.gz
Algorithm Hash digest
SHA256 9cd34109d526dd293df1636f8d024b3d25922e7918ee7a23487e9d5f934f9f4c
MD5 4ea2290213c706c3a4d0af81a138c764
BLAKE2b-256 d848654c5c56f63f5752314d26c2f151d4669e14f9d9295a32174d8f8456dffb

See more details on using hashes here.

File details

Details for the file f3_data_models-0.5.17-py3-none-any.whl.

File metadata

  • Download URL: f3_data_models-0.5.17-py3-none-any.whl
  • Upload date:
  • Size: 14.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.1 Linux/6.11.0-1015-azure

File hashes

Hashes for f3_data_models-0.5.17-py3-none-any.whl
Algorithm Hash digest
SHA256 98563727ca2c0e6da0590ba3976a0ea2e7d7f81505be43fe1eac8962c80579e8
MD5 8093218d99f5bb8e19953b14abcd1d69
BLAKE2b-256 d6b1144c65e315ad359c18182cfaeb2fc5a1fec4536ef06509a4340a99603b97

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