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|
%global _empty_manifest_terminate_build 0
Name: python-flask-jsonschema-validator
Version: 0.0.4
Release: 1
Summary: Validate Flask JSON request data with schema files and route decorators
License: MIT
URL: https://gitlab.com/vector.kerr/flask-jsonschema-validator
Source0: https://mirrors.aliyun.com/pypi/web/packages/bd/b0/35f9f26d6efb6171da6236c07e5cbf73b66467c8954e983389d4656cbffa/flask-jsonschema-validator-0.0.4.tar.gz
BuildArch: noarch
Requires: python3-flask
Requires: python3-jsonschema
%description
# Flask JSON Schema Validator
Validate Flask JSON request data with schema files and route decorators.
# Author
Daniel 'Vector' Kerr (<vector@vector.id.au>)
# License
Refer to [LICENSE.txt](LICENSE.txt).
# Installation
pip install flask-jsonschema-validator
# Sample Usage
## Python Code
`main.py`
```python
from flask import Flask, request, jsonify
from flask_jsonschema_validator import JSONSchemaValidator
app = Flask()
JSONSchemaValidator( app = app, root = "schemas" )
# Define a normal flask route, and then apply the `validate` decorator.
# Look for the `users.json` file, and use the `register` key as the schema source.
@app.route( '/register', methods = [ 'POST' ] )
@app.validate( 'users', 'register' )
def routeRegister():
user = request.json
return jsonify( user )
if __name__ == '__main__':
app.run( port = 8080 )
```
## Schema File
`schemas/users.json`
```json
{
"register": {
"type": "object",
"properties": {
"name": { "type": "string", "minLength": 2, "maxLength": 100 },
"email": { "type": "string", "format": "email" },
"password": { "type": "string", "minLength": 8, "maxLength": 32 }
},
"required": [ "name", "email", "password" ]
}
}
```
## Run Server
```sh
python main.py
```
## POST Data to Server
```http
POST /register HTTP/1.0
Content-Type: application/json
Content-Length: 76
{
"name": "fred",
"email": "fred@foo.com",
"password": "frediscool"
}
```
## Handling Validation Errors
If the data validates correctly then the server will respond with the POST data as a JSON object.
If the data fails to validate, a `jsonschema.ValidationError` exception will be raised.
To handle the exception, you could register a Flask errorhandler. For example:
```python
import jsonschema
from flask import Response
@app.errorhandler( jsonschema.ValidationError )
def onValidationError( e ):
return Response( "There was a validation error: " + str( e ), 400 )
```
%package -n python3-flask-jsonschema-validator
Summary: Validate Flask JSON request data with schema files and route decorators
Provides: python-flask-jsonschema-validator
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-flask-jsonschema-validator
# Flask JSON Schema Validator
Validate Flask JSON request data with schema files and route decorators.
# Author
Daniel 'Vector' Kerr (<vector@vector.id.au>)
# License
Refer to [LICENSE.txt](LICENSE.txt).
# Installation
pip install flask-jsonschema-validator
# Sample Usage
## Python Code
`main.py`
```python
from flask import Flask, request, jsonify
from flask_jsonschema_validator import JSONSchemaValidator
app = Flask()
JSONSchemaValidator( app = app, root = "schemas" )
# Define a normal flask route, and then apply the `validate` decorator.
# Look for the `users.json` file, and use the `register` key as the schema source.
@app.route( '/register', methods = [ 'POST' ] )
@app.validate( 'users', 'register' )
def routeRegister():
user = request.json
return jsonify( user )
if __name__ == '__main__':
app.run( port = 8080 )
```
## Schema File
`schemas/users.json`
```json
{
"register": {
"type": "object",
"properties": {
"name": { "type": "string", "minLength": 2, "maxLength": 100 },
"email": { "type": "string", "format": "email" },
"password": { "type": "string", "minLength": 8, "maxLength": 32 }
},
"required": [ "name", "email", "password" ]
}
}
```
## Run Server
```sh
python main.py
```
## POST Data to Server
```http
POST /register HTTP/1.0
Content-Type: application/json
Content-Length: 76
{
"name": "fred",
"email": "fred@foo.com",
"password": "frediscool"
}
```
## Handling Validation Errors
If the data validates correctly then the server will respond with the POST data as a JSON object.
If the data fails to validate, a `jsonschema.ValidationError` exception will be raised.
To handle the exception, you could register a Flask errorhandler. For example:
```python
import jsonschema
from flask import Response
@app.errorhandler( jsonschema.ValidationError )
def onValidationError( e ):
return Response( "There was a validation error: " + str( e ), 400 )
```
%package help
Summary: Development documents and examples for flask-jsonschema-validator
Provides: python3-flask-jsonschema-validator-doc
%description help
# Flask JSON Schema Validator
Validate Flask JSON request data with schema files and route decorators.
# Author
Daniel 'Vector' Kerr (<vector@vector.id.au>)
# License
Refer to [LICENSE.txt](LICENSE.txt).
# Installation
pip install flask-jsonschema-validator
# Sample Usage
## Python Code
`main.py`
```python
from flask import Flask, request, jsonify
from flask_jsonschema_validator import JSONSchemaValidator
app = Flask()
JSONSchemaValidator( app = app, root = "schemas" )
# Define a normal flask route, and then apply the `validate` decorator.
# Look for the `users.json` file, and use the `register` key as the schema source.
@app.route( '/register', methods = [ 'POST' ] )
@app.validate( 'users', 'register' )
def routeRegister():
user = request.json
return jsonify( user )
if __name__ == '__main__':
app.run( port = 8080 )
```
## Schema File
`schemas/users.json`
```json
{
"register": {
"type": "object",
"properties": {
"name": { "type": "string", "minLength": 2, "maxLength": 100 },
"email": { "type": "string", "format": "email" },
"password": { "type": "string", "minLength": 8, "maxLength": 32 }
},
"required": [ "name", "email", "password" ]
}
}
```
## Run Server
```sh
python main.py
```
## POST Data to Server
```http
POST /register HTTP/1.0
Content-Type: application/json
Content-Length: 76
{
"name": "fred",
"email": "fred@foo.com",
"password": "frediscool"
}
```
## Handling Validation Errors
If the data validates correctly then the server will respond with the POST data as a JSON object.
If the data fails to validate, a `jsonschema.ValidationError` exception will be raised.
To handle the exception, you could register a Flask errorhandler. For example:
```python
import jsonschema
from flask import Response
@app.errorhandler( jsonschema.ValidationError )
def onValidationError( e ):
return Response( "There was a validation error: " + str( e ), 400 )
```
%prep
%autosetup -n flask-jsonschema-validator-0.0.4
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-flask-jsonschema-validator -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1
- Package Spec generated
|