Flask-Parameter-Validation 2.1.1

Get and validate all Flask input parameters with ease.

Flask Parameter Validation

Get and validate all Flask input parameters with ease.

Install

• Pip: Install with pip install flask_parameter_validation.
• Manually:
  • git clone https://github.com/Ge0rg3/flask-parameter-validation.git
  • python setup.py install

Simple Usage

from flask import Flask
from typing import List, Optional
from flask_parameter_validation import ValidateParameters, Route, Json, Query

app = Flask(__name__)


@app.route("/update/<int:id>", methods=["POST"])
@ValidateParameters()
def hello(
        id: int = Route(),
        username: str = Json(min_str_length=5, blacklist="<>"),
        age: int = Json(min_int=18, max_int=99),
        nicknames: List[str] = Json(),
        password_expiry: Optional[int] = Json(5),
        is_admin: bool = Query(False)
     ):
    return "Hello World!"


if __name__ == "__main__":
    app.run()

Detailed Usage

1. We use the ValidateParameters decorator on all functions that this modules should be used in.
2. The format for arguments is as follows: parameter_name: parameter_type = Class() In this example, parameter_name would be the field name itself, such as "username". parameter_type would be the expected python data type, such as str, int, List, Union etc. Finally, Class() is one of the class inputs, as detailed below:

Classes

1. Route()
   This is the data passed through the URL, such as /users/<int:id>
2. Form()
   This is the data passed by a normal HTML form, often with x-www-form-urlencoded content-type.
3. Json()
   This is any JSON body sent -- request must have application/json content type for flask to read this.
4. Query()
   This covers query parameters (aka GET parameters), such as /news/article?id=55
5. File()
   The validation on files are different to the others, but file input can still be obtained here as their Flask FileStorage objects.

Validation

All parameters can have default values, and automatic validation.
Route, Form, Json and Query have the following options:

• default: any, Specifies the default value for the field.
• min_str_length: int, Specifies the minimum character length for a string input
• max_str_length: int, Specifies the maximum character length for a string input
• min_list_length: int, Specifies the minimum number of elements in a list
• max_list_length: int, Specifies the maximum number of elements in a list
• min_int: int, Specifies the minimum number for an int input
• max_int: int, Specifies the maximum number for an int input
• whitelist: str, A string containing allowed characters for the value
• blacklist: str, A string containing forbidden characters for the value
• pattern: str, A regex pattern to test for string matches
• func: Callable, A function containing a fully customized logic to validate the value

File has the following options:

• content_types: array of strings, an array of allowed content types.
• min_length: Minimum content-length for a file
• max_length: Maximum content-length for a file

These validators are passed into the classes in the route function, such as:

• username: str = Json("defaultusername", min_length=5)
• profile_picture: Any = File(content_types=["image/png", "image/jpeg"])
• filter: str = Query()

Overwriting default errors

By default, the error messages are returned as a JSON response, with the detailed error in the "error" field. However, this can be edited by passing a custom error function into the ValidateParameters decorator. For example:

def error_handler(err):
    error_name = type(err)
    error_parameters = err.args
    error_message = str(err)
    return {
        "error_name": type(err).__name__,
        "error_parameters": err.args,
        "error_message": str(err)
    }, 400

@ValidateParameters(error_handler)
def api(...)