FastAPI Tag

Documented & Enhance the Metadata of your API ✨

A simple Package could be added to your FastAPI Project to enhance the metadata of your Project and documenting your API with more information.

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Source Code: https://github.com/yezz123/fastapi-tag

Install the project: pip install fastapi-tag

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Features 🎉

• Add a tag to your API, which can be used to filter the API documentation.
• Add a description to your API, which can be used to describe the API.
• Add a version to your API, which can be used to describe the version of the API and app.
• Provide some others features like:
  • API_id: A unique identifier for the API.
  • Audience: The audience of the API (e.g. public, internal, external).
• Tested in python 3.8 and up.
• Last Version of FastAPI 🚀

Usage 📚

• To Identify the Metadata of your API:

from fastapi import FastAPI
from fastapi_tag.model import Contact, Metadata, Version
from fastapi_tag.application import Application

app = FastAPI()

def metadata(app):
    return Metadata(
        title="Hello World",
        version=Version(app="v0.1.1", api="v0.1.0"),
        description="A simple example of a FastAPI application.",
        contact=Contact(
            name="name",
            url="http://test.com",
            email=None
        ),
        api_id="49786b4b-1889-46ec-bd72-27f332436e6f",
        audience="company-internal",
    )

def app(metadata):
    return Application("", metadata)

• We have also Problem class thats depends on:

  • title: The title of the problem.
  • status: The status code of the problem.
  • detail: A human-readable explanation specific to this occurrence of the problem.
  • instance: A URI reference that identifies the specific occurrence of the problem.
  • type: A URI reference that identifies the problem type.

• NameSpace is a is a decorator that adds a route generator to the namespace object.

for example:

from fastapi_tag.routers import Namespace

route = Namespace([])

Development

Setup environment

You should create a virtual environment and activate it:

Notes: You need to have python3.9 or higher installed.

I Use uv to manage virtual environments, you can install it with:

# Install uv
pip install uv

# Create a virtual environment
uv venv

# Activate the virtual environment
source .venv/bin/activate

And then install the development dependencies:

# Install dependencies
uv pip install -e .[test,lint]

Run tests 🌝

You can run all the tests with:

bash scripts/tests.sh

Format the code 🍂

Execute the following command to apply pre-commit formatting:

bash scripts/format.sh

License 🍻

This project is licensed under the terms of the MIT license.