Metadata-Version: 2.4
Name: Flask-Pydantic
Version: 0.13.1
Summary: Flask extension for integration with Pydantic library.
Author: Jiri Bauer
Maintainer-email: Pallets <contact@palletsprojects.com>
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Classifier: Environment :: Web Environment
Classifier: Framework :: Flask
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
License-File: LICENSE.txt
Requires-Dist: Flask
Requires-Dist: pydantic>=2.0
Requires-Dist: typing_extensions>=4.1.1; python_version < '3.8'
Project-URL: Chat, https://discord.gg/pallets
Project-URL: Donate, https://palletsprojects.com/donate
Project-URL: Source, https://github.com/pallets-eco/flask-pydantic

# Flask-Pydantic

[![PyPI](https://img.shields.io/pypi/v/Flask-Pydantic?color=g)](https://pypi.org/project/Flask-Pydantic/)
[![License](https://img.shields.io/badge/license-MIT-purple)](https://github.com/bauerji/flask_pydantic/blob/master/LICENSE)

Flask extension for integration of the awesome [pydantic package](https://github.com/samuelcolvin/pydantic) with [Flask](https://palletsprojects.com/p/flask/).

## Pallets Community Ecosystem

> [!IMPORTANT]\
> This project is part of the Pallets Community Ecosystem. Pallets is the open
> source organization that maintains Flask; Pallets-Eco enables community
> maintenance of Flask extensions. If you are interested in helping maintain
> this project, please reach out on [the Pallets Discord server][discord].
>
> [discord]: https://discord.gg/pallets

## Installation

`python3 -m pip install Flask-Pydantic`

## Basics
### URL query and body parameters

`validate` decorator validates query, body and form-data request parameters and makes them accessible two ways:

1. [Using `validate` arguments, via flask's `request` variable](#basic-example)

| **parameter type** | **`request` attribute name** |
|:------------------:|:----------------------------:|
|       query        |        `query_params`        |
|        body        |        `body_params`         |
|        form        |        `form_params`         |

2. [Using the decorated function argument parameters type hints](#using-the-decorated-function-kwargs)

### URL path parameter

If you use annotated path URL path parameters as follows
```python

@app.route("/users/<user_id>", methods=["GET"])
@validate()
def get_user(user_id: str):
    pass
```
flask_pydantic will parse and validate `user_id` variable in the same manner as for body and query parameters.

---

### Additional `validate` arguments

- Success response status code can be modified via `on_success_status` parameter of `validate` decorator.
- `response_many` parameter set to `True` enables serialization of multiple models (route function should therefore return iterable of models).
- `request_body_many` parameter set to `False` analogically enables serialization of multiple models inside of the root level of request body. If the request body doesn't contain an array of objects `400` response is returned,
- `get_json_params` - parameters to be passed to [`flask.Request.get_json`](https://tedboy.github.io/flask/generated/generated/flask.Request.get_json.html) function
- If validation fails, `400` response is returned with failure explanation.

For more details see in-code docstring or example app.

## Usage

### Example 1: Query parameters only

Simply use `validate` decorator on route function.

:exclamation: Be aware that `@app.route` decorator must precede `@validate` (i. e. `@validate` must be closer to the function declaration).

```python
from typing import Optional
from flask import Flask, request
from pydantic import BaseModel

from flask_pydantic import validate

app = Flask("flask_pydantic_app")

class QueryModel(BaseModel):
  age: int

class ResponseModel(BaseModel):
  id: int
  age: int
  name: str
  nickname: Optional[str] = None

# Example 1: query parameters only
@app.route("/", methods=["GET"])
@validate()
def get(query: QueryModel):
  age = query.age
  return ResponseModel(
    age=age,
    id=0, name="abc", nickname="123"
    )
```

<a href="example_app/example.py">
  See the full example app here
</a>


- `age` query parameter is a required `int`
  - `curl --location --request GET 'http://127.0.0.1:5000/'`
  - if none is provided the response contains:
    ```json
    {
      "validation_error": {
        "query_params": [
          {
            "loc": ["age"],
            "msg": "field required",
            "type": "value_error.missing"
          }
        ]
      }
    }
    ```
  - for incompatible type (e. g. string `/?age=not_a_number`)
  - `curl --location --request GET 'http://127.0.0.1:5000/?age=abc'`
    ```json
    {
      "validation_error": {
        "query_params": [
          {
            "loc": ["age"],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
          }
        ]
      }
    }
    ```
- likewise for body parameters
- example call with valid parameters:
  `curl --location --request GET 'http://127.0.0.1:5000/?age=20'`  

-> `{"id": 0, "age": 20, "name": "abc", "nickname": "123"}`


### Example 2: URL path parameter

```python
@app.route("/character/<character_id>/", methods=["GET"])
@validate()
def get_character(character_id: int):
    characters = [
        ResponseModel(id=1, age=95, name="Geralt", nickname="White Wolf"),
        ResponseModel(id=2, age=45, name="Triss Merigold", nickname="sorceress"),
        ResponseModel(id=3, age=42, name="Julian Alfred Pankratz", nickname="Jaskier"),
        ResponseModel(id=4, age=101, name="Yennefer", nickname="Yenn"),
    ]
    try:
        return characters[character_id]
    except IndexError:
        return {"error": "Not found"}, 400
```


### Example 3: Request body only

```python
class RequestBodyModel(BaseModel):
  name: str
  nickname: Optional[str] = None

# Example2: request body only
@app.route("/", methods=["POST"])
@validate()
def post(body: RequestBodyModel):
  name = body.name
  nickname = body.nickname
  return ResponseModel(
    name=name, nickname=nickname,id=0, age=1000
    )
```

<a href="example_app/example.py">
  See the full example app here
</a>

### Example 4: BOTH query paramaters and request body

```python
# Example 3: both query paramters and request body
@app.route("/both", methods=["POST"])
@validate()
def get_and_post(body: RequestBodyModel, query: QueryModel):
  name = body.name # From request body
  nickname = body.nickname # From request body
  age = query.age # from query parameters
  return ResponseModel(
    age=age, name=name, nickname=nickname,
    id=0
  )
```

<a href="example_app/example.py">
  See the full example app here
</a>


### Example 5: Request form-data only

```python
class RequestFormDataModel(BaseModel):
  name: str
  nickname: Optional[str] = None

# Example2: request body only
@app.route("/", methods=["POST"])
@validate()
def post(form: RequestFormDataModel):
  name = form.name
  nickname = form.nickname
  return ResponseModel(
    name=name, nickname=nickname,id=0, age=1000
    )
```

<a href="example_app/example.py">
  See the full example app here
</a>

### Modify response status code

The default success status code is `200`. It can be modified in two ways

- in return statement

```python
# necessary imports, app and models definition
...

@app.route("/", methods=["POST"])
@validate(body=BodyModel, query=QueryModel)
def post():
    return ResponseModel(
            id=id_,
            age=request.query_params.age,
            name=request.body_params.name,
            nickname=request.body_params.nickname,
        ), 201
```

- in `validate` decorator

```python
@app.route("/", methods=["POST"])
@validate(body=BodyModel, query=QueryModel, on_success_status=201)
def post():
    ...
```

Status code in case of validation error can be modified using `FLASK_PYDANTIC_VALIDATION_ERROR_STATUS_CODE` flask configuration variable.

### Using the decorated function `kwargs`

Instead of passing `body` and `query` to `validate`, it is possible to directly
defined them by using type hinting in the decorated function.

```python
# necessary imports, app and models definition
...

@app.route("/", methods=["POST"])
@validate()
def post(body: BodyModel, query: QueryModel):
    return ResponseModel(
            id=id_,
            age=query.age,
            name=body.name,
            nickname=body.nickname,
        )
```

This way, the parsed data will be directly available in `body` and `query`.
Furthermore, your IDE will be able to correctly type them.

### Model aliases

Pydantic's [alias feature](https://pydantic-docs.helpmanual.io/usage/model_config/#alias-generator) is natively supported for query and body models.
To use aliases in response modify response model
```python
def modify_key(text: str) -> str:
    # do whatever you want with model keys
    return text


class MyModel(BaseModel):
    ...
    model_config = ConfigDict(
        alias_generator=modify_key,
        populate_by_name=True
    )

```

and set `response_by_alias=True` in `validate` decorator

```python
@app.route(...)
@validate(response_by_alias=True)
def my_route():
    ...
    return MyModel(...)
```

### Example app

For more complete examples see [example application](https://github.com/bauerji/flask_pydantic/tree/master/example_app).

### Configuration

The behaviour can be configured using flask's application config
`FLASK_PYDANTIC_VALIDATION_ERROR_STATUS_CODE` - response status code after validation error (defaults to `400`)

Additionally, you can set `FLASK_PYDANTIC_VALIDATION_ERROR_RAISE` to `True` to cause
`flask_pydantic.ValidationError` to be raised with either `body_params`,
`form_params`, `path_params`, or `query_params` set as a list of error
dictionaries. You can use `flask.Flask.register_error_handler` to catch that
exception and fully customize the output response for a validation error.

## Contributing

Feature requests and pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

- clone repository
  ```bash
  git clone https://github.com/pallets-eco/flask_pydantic.git
  cd flask_pydantic
  ```
- create virtual environment and activate it
  ```bash
  python3 -m venv venv
  source venv/bin/activate
  ```
- install development requirements
  ```bash
  python3 -m pip install -r requirements/test.txt
  ```
- checkout new branch and make your desired changes (don't forget to update tests)
  ```bash
  git checkout -b <your_branch_name>
  ```
- make sure your code style is compliant with [Ruff](https://github.com/astral-sh/ruff). Your can check these errors and automatically correct some of them with `ruff check --select I --fix . `
- run tests and check code format
  ```bash
  python3 -m pytest --ruff --ruff-format
  ```
- push your changes and create a pull request to master branch

## TODOs:

- header request parameters
- cookie request parameters

