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Consistent JSON response formatting and error handling for FastAPI applications

Project description

APIException Logo

Standardising FastAPI responses with clarity, consistency, and control.

APIException: Standardised Exception Handling for FastAPI

PyPI version Documentation Downloads Python Versions License Code style: black APIException is a robust, production-ready Python library for FastAPI that simplifies exception handling and ensures consistent, well-structured API responses. Designed for developers who want to eliminate boilerplate error handling and improve Swagger/OpenAPI documentation, APIException makes your FastAPI projects cleaner and easier to maintain.

  • 🔒 Consistent JSON responses for both success and errors.
  • 📚 Beautiful Swagger/OpenAPI documentation with clear error cases.
  • ⚙️ Customizable error codes with BaseExceptionCode.
  • 🔗 Global fallback for unhandled server-side errors.
  • 🗂️ Use with multiple FastAPI apps.
  • 📜 Automatic logging of every exception detail.
  • ✔️ Production-ready with unit test examples.

· View on PyPI

· Full Documentation

Reading the full documentation is highly recommended — it’s clear, thorough, and helps you get started in minutes.


📦 Installation via pip

pip install apiexception

pip-install-apiexception-1.gif


⚡ Quickstart: How to Integrate APIException

1️⃣ Register the Handler

from api_exception import register_exception_handlers, logger
from fastapi import FastAPI

app = FastAPI()
register_exception_handlers(app)  # uses ResponseModel by default

logger.setLevel("INFO")  # Set logging level if needed

🔍 Example: Error Handling with Custom Codes

from typing import List
from fastapi import FastAPI, Path
from pydantic import BaseModel, Field
from api_exception import (
    APIException,
    BaseExceptionCode,
    ResponseModel,
    register_exception_handlers,
    APIResponse
)

app = FastAPI()

# Register exception handlers globally to have the consistent
# error handling and response structure
register_exception_handlers(app=app)


# Define your custom exception codes extending BaseExceptionCode
class CustomExceptionCode(BaseExceptionCode):
    USER_NOT_FOUND = ("USR-404", "User not found.", "The user ID does not exist.")
    INVALID_API_KEY = ("API-401", "Invalid API key.", "Provide a valid API key.")
    PERMISSION_DENIED = ("PERM-403", "Permission denied.", "Access to this resource is forbidden.")


# Let's assume you have a UserModel that represents the user data
class UserModel(BaseModel):
    id: int = Field(...)
    username: str = Field(...)


# Create the validation model for your response.
class UserResponse(BaseModel):
    users: List[UserModel] = Field(..., description="List of user objects")


@app.get("/user/{user_id}",
         response_model=ResponseModel[UserResponse],
         responses=APIResponse.default()
         )
async def user(user_id: int = Path()):
    if user_id == 1:
        raise APIException(
            error_code=CustomExceptionCode.USER_NOT_FOUND,
            http_status_code=401,
        )
    if user_id == 3:
        a = 1
        b = 0
        c = a / b  # This will raise ZeroDivisionError and be caught by the global exception handler
        return c

    users = [
        UserModel(id=1, username="John Doe"),
        UserModel(id=2, username="Jane Smith"),
        UserModel(id=3, username="Alice Johnson")
    ]
    data = UserResponse(users=users)
    return ResponseModel[UserResponse](
        data=data,
        description="User found and returned."
    )

The above code demonstrates how to handle exceptions in FastAPI using the APIException library.

When you run your FastAPI app and open Swagger UI (/docs),
your endpoints will display clean, predictable response schemas like this below:

user{user_id}.gif


- Successful API Response?

{
  "data": {
    "users": [
      {
        "id": 1,
        "username": "John Doe"
      },
      {
        "id": 2,
        "username": "Jane Smith"
      },
      {
        "id": 3,
        "username": "Alice Johnson"
      }
    ]
  },
  "status": "SUCCESS",
  "message": "Operation completed successfully.",
  "error_code": null,
  "description": "User found."
}

- Error API Response?

{
  "data": null,
  "status": "FAIL",
  "message": "User not found.",
  "error_code": "USR-404",
  "description": "The user ID does not exist."
}

In both error and the success cases, the response structure is consistent.

  • In the example above, when the user_id is 1, it raises an APIException with a custom error_code, the response is formatted according to the ResponseModel and it's logged automatically as shown below:

apiexception-indexApiExceptionLog.png


- Uncaught Exception API Response?

What if you forget to handle an exception such as in the example above?

  • When the user_id is 3, the program automatically catches the ZeroDivisionError and returns a standard error response, logging it in a clean structure as shown below:
{
  "data": null,
  "status": "FAIL",
  "message": "Something went wrong.",
  "error_code": "ISE-500",
  "description": "An unexpected error occurred. Please try again later."
}

apiexception-indexApiExceptionLog.png

2️⃣ Raise an Exception

from api_exception import APIException, ExceptionCode, register_exception_handlers
from fastapi import FastAPI
app = FastAPI()

register_exception_handlers(app)

@app.get("/login")
async def login(username: str, password: str):
    if username != "admin" or password != "admin":
        raise APIException(
            error_code=ExceptionCode.AUTH_LOGIN_FAILED,
            http_status_code=401
        )
    return {"message": "Login successful!"}

3️⃣ Use ResponseModel for Success Responses

from api_exception import ResponseModel, register_exception_handlers
from fastapi import FastAPI
app = FastAPI()

register_exception_handlers(app)

@app.get("/success")
async def success():
    return ResponseModel(
        data={"foo": "bar"},
        message="Everything went fine!"
    )

Response Model In Abstract:

apiexception-responseModel.gif


🧩 Custom Error Codes

Always extend BaseExceptionCode — don’t subclass ExceptionCode directly!

from api_exception import BaseExceptionCode

class CustomExceptionCode(BaseExceptionCode):
    USER_NOT_FOUND = ("-404", "User not found.", "User does not exist.")
    INVALID_API_KEY = ("API-401", "Invalid API key.", "Key missing or invalid.")

And use it:

from api_exception import APIException

raise APIException(
    error_code=CustomExceptionCode.USER_NOT_FOUND,
    http_status_code=404
)

⚙️ Override Default HTTP Status Codes

from api_exception import set_default_http_codes

set_default_http_codes({
    "FAIL": 422,
    "WARNING": 202
})

🌐 Multiple Apps Support

from fastapi import FastAPI
from api_exception import register_exception_handlers

mobile_app = FastAPI()
admin_app = FastAPI()
merchant_app = FastAPI()

register_exception_handlers(mobile_app)
register_exception_handlers(admin_app)
register_exception_handlers(merchant_app)

📝 Automatic Logging

Every APIException automatically logs:

  • File name & line number

  • Error code, status, message, description

Or use the built-in logger:

from api_exception import logger

logger.info("Custom info log")
logger.error("Custom error log")
logger.setLevel("DEBUG")  # Set logging level

Examples

All in One Example Application

Below is a comprehensive example application demonstrating the capabilities of api_exception.
This single file showcases how you can:

  • Work with multiple FastAPI apps (API, Mobile, Admin) in the same project
  • Set different log levels based on the environment (e.g., INFO in dev, ERROR in prod)
  • Enable or disable tracebacks per application
  • Fully control logging behavior when raising APIException (log or skip logging)
  • Customize DEFAULT_HTTP_CODES to match your own status code mappings
  • Create and use custom exception classes with clean and consistent logging across the project
  • Use APIResponse.custom() and APIResponse.default() for flexible response structures
  • Demonstrate RFC 7807 problem details integration for standards-compliant error responses

This example serves as a one-stop reference to see how api_exception can be integrated into a real-world project while keeping exception handling consistent, configurable, and developer-friendly.

Click to see the example


✅ Testing Example

import unittest
from api_exception import APIException, ExceptionCode, ResponseModel

class TestAPIException(unittest.TestCase):
    def test_api_exception(self):
        exc = APIException(error_code=ExceptionCode.AUTH_LOGIN_FAILED)
        self.assertEqual(exc.status.value, "FAIL")

    def test_response_model(self):
        res = ResponseModel(data={"foo": "bar"})
        self.assertEqual(res.status.value, "SUCCESS")

if __name__ == "__main__":
    unittest.main()

Run the Tests

  • To run the tests, you can use the following command in your terminal:
python -m unittest discover -s tests

🔗 Full Documentation

Find detailed guides and examples in the official docs.


📊 Benchmark

We benchmarked apiexception's APIException against FastAPI's built-in HTTPException using Locust with 200 concurrent users over 2 minutes. This can be used as a foundation. Can be extended to include more detailed tests.

Metric HTTPException (Control App) APIException (Test App)
Avg Latency 2.00 ms 2.72 ms
P95 Latency 5 ms 6 ms
P99 Latency 9 ms 19 ms
Max Latency 44 ms 96 ms
Requests per Second (RPS) ~608.88 ~608.69
Failure Rate (/error) 100% (intentional) 100% (intentional)

Analysis

  • Both implementations achieved almost identical throughput (~609 RPS).
  • In this test, APIException’s average latency was only +0.72 ms higher than HTTPException (2.42 ms vs 2.00 ms).
  • The P95 latencies were nearly identical at 5 ms and 6 ms, while the P99 and maximum latencies for APIException were slightly higher but still well within acceptable performance thresholds for APIs.

Important Notice: APIException automatically logs exceptions, while FastAPI’s built-in HTTPException does not log them by default. Considering the extra logging feature, these performance results are very strong, showing that APIException delivers standardized error responses, cleaner exception handling, and logging capabilities without sacrificing scalability.

APIException vs HTTPException – Latency Comparison
HTTPException vs APIException – Latency Comparison

Benchmark scripts and raw Locust reports are available in the benchmark directory.


📜 Changelog

v0.1.17 (2025-08-10)

Initial stable version

  • RFC 7807 standard support for consistent error responses (application/problem+json)

  • OpenAPI (Swagger) schema consistency: nullable fields are now explicitly shown for better compatibility

  • Poetry support has been added for dependency management

  • uv support has been added.

  • extra logger message param has been added to APIException for more detailed logging

  • log_traceback and log_traceback_unhandled_exception parameters have been added to register_exception_handlers() for more control over logging behavior

  • log_exception parameter has been added to APIException for more control over logging behavior

  • log_message parameter has been added to APIException for more control over logging behavior

  • Logging now uses add_file_handler() to write logs to a file

  • Logging improvements: now includes exception arguments in logs for better debugging

  • Documentation has been updated.

  • Readme.md has been updated.

v0.1.16 (2025-07-22)

  • setup.py has been updated.

  • Project name has been updated. Instead of APIException we will use apiexception to comply with PEP 625.

  • Documentation has been updated.

  • Readme.md has been updated.

v0.1.15 (2025-07-22)

  • setup.py has been updated.

  • Project name has been updated. Instead of APIException we will use apiexception to comply with PEP 625.

  • Documentation has been updated.

  • Readme.md has been updated.

v0.1.14 (2025-07-22)

  • setup.py has been updated.

  • Project name has been updated. Instead of APIException we will use apiexception to comply with PEP 625.

v0.1.13 (2025-07-21)

  • /examples/fastapi_usage.py has been updated.

  • 422 Pydantic error has been fixed in APIResponse.default()

  • Documentation has been updated.

  • Exception Args has been added to the logs.

  • Readme has been updated. New gifs have been added.

v0.1.12 (2025-07-14)

  • /examples/fastapi_usage.py has been updated.

  • 422 Pydantic error has been handled in register_handler

  • Documentation has been added.

  • use_fallback_middleware has been added.

v0.1.11 (2025-07-13)

  • Added CLI entrypoint (api_exception-info)

  • Stable test suite with FastAPI TestClient

  • Multiple app support

  • Raw dict or Pydantic output

  • Automatic logging improvements

v0.1.0 (2025-06-25)

🚀 Prototype started!

  • Project scaffolding

  • ResponseModel has been added

  • APIException has been added

  • Defined base ideas for standardizing error handling


License

This project is licensed under the MIT License. See the LICENSE file for more details. If you like this library and find it useful, don’t forget to give it a ⭐ on GitHub!

Contact

If you have any questions or suggestions, please feel free to reach out at ahmetkutayural.dev Don't forget to add your email to the contact form!


📖 Learn More

📚 Full APIException Documentation
https://akutayural.github.io/APIException/

🐍 PyPI
https://pypi.org/project/apiexception/

💻 Author Website
https://ahmetkutayural.dev

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