A request handler validation tool for RESTful API endpoints.
Project description
Validator
This is a request handler validation tool for RESTful API endpoints.
How To Use
from validrequest import validator, ValidationError
from typing import Dict, Any
def request_handler(request, response, next):
# Note: type and state must be the first rules in that order
# i.e. type (string,float,integer,number,dict)|state (required,sometimes)
validation_rules: Dict[str, str] = {
"q": "string|required|max:100",
"timestamp": "float|sometimes|min:1|max:13",
"comment": "string|required|min:10",
"code": "integer|required",
"version": "float|sometimes",
"metadata": "dict|required",
"timeSince": "number|required"
}
request_parameters: Dict[str, Any] = request.body
try:
validator(validation_rules, request_parameters)
return response.status(200).send("Validation successful.")
except ValidationError as e:
return next({ "message": e })
except Exception:
return next({ "message": "Something else went wrong." })
# You can also use a decorator (@validate) - see demo.py for an example
Refer to the demo.py
file for further implementations.
How to Install
python -m pip install validrequest
python -m pip install git+https://github.com/ableinc/validrequest.git
Important - Migrating from v0.0.3 to v1.0.0
Breaking Changes in Version 1.0.0 - Please carefully review the changes below
- import library name has changed from "validator" to "validrequest":
from validrequest import validate, validator, ValidationError
- @validate decorator now accepts 'request' or 'req' as Request argument name
- parse_level was changed to payload_level for @validate decorator
- error callback must be named "next" for @validate decorator - it will not accept any other argument
- error callback will return a string error message with error type - it will no longer return JSON
- strict declaration has been removed - validation rules will always be checked against required and ignored for sometimes
- 'number' is now an acceptable type in validation rule - this can be used for fields that may be either integer or float
- Acceptable types in validation rules:
- Integer: int | integer | number
- Float: float | number
- String: str | string
- Dictionary: dict | dictionary | object
- Boolean: bool | boolean
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