Python ??? ??? ??? ??????? ???? ? ?????. ??? ?? ??? ???? ??? ?? ???? ???? ?? ??? ??? ? ??? ??? ??????. ?? ?????? ?? ???? ?? ?? ??? ??? ???????.

Pydantic? ??? ??? ? ??? ?? ?? ?? ???? ?????? ?????. ???? ???? ?? ??? ????? ??? ??? ???. ?? ????? ???? ??? ??? ????.

from pydantic import BaseModel, EmailStr, validator
from typing import List

class User(BaseModel):
    username: str
    email: EmailStr
    age: int
    tags: List[str] = []

    @validator('age')
    def check_age(cls, v):
        if v < 18:
            raise ValueError('Must be 18 or older')
        return v

try:
    user = User(username="john_doe", email="john@example.com", age=25, tags=["python", "developer"])
    print(user.dict())
except ValidationError as e:
    print(e.json())

? ??? Pydantic? ???? ??? ??? ???? ???? ?? ??? ??? ???? ?????. ??? ?? ??? ??? ???? ???? ??? ?? ??? ?????.

Cerberus? ?? ?? ???? ? ?? ??? ????????. ?? ?? ????? ?? ? ?? ??? ??? ? ?? ?????. ??? ?? ?? ??? ?? ?????.

from cerberus import Validator

schema = {
    'name': {'type': 'string', 'required': True, 'minlength': 2},
    'age': {'type': 'integer', 'min': 18, 'max': 99},
    'email': {'type': 'string', 'regex': '^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'},
    'interests': {'type': 'list', 'schema': {'type': 'string'}}
}

v = Validator(schema)
document = {'name': 'John Doe', 'age': 30, 'email': 'john@example.com', 'interests': ['python', 'data science']}

if v.validate(document):
    print("Document is valid")
else:
    print(v.errors)

Cerberus? ???? ??? ???? ?? ??? ?? ??? ?? ???? ??? ? ???? ?? ??? ?? ??? ?? ????? ??????.

Marshmallow? ? ?????? ORM ?????? ??? ? ?? ?????. ??? ? ???? ??? ?? ?????.

from marshmallow import Schema, fields, validate, ValidationError

class UserSchema(Schema):
    id = fields.Int(dump_only=True)
    username = fields.Str(required=True, validate=validate.Length(min=3))
    email = fields.Email(required=True)
    created_at = fields.DateTime(dump_only=True)

user_data = {'username': 'john', 'email': 'john@example.com'}
schema = UserSchema()

try:
    result = schema.load(user_data)
    print(result)
except ValidationError as err:
    print(err.messages)

? ?? ??? ??????? API?? ???? ??? ???? ???? ???? ? ? ?? ??????.

mypy? ?? ?? ?? ???? ??? Python? ?? ?? ??? ?? ?? ? ??? ?? ??? ??? ??????.

from typing import List, Dict, Optional

def process_user_data(name: str, age: int, emails: List[str], metadata: Optional[Dict[str, str]] = None) -> bool:
    if not 0 < age < 120:
        return False
    if not all(isinstance(email, str) for email in emails):
        return False
    if metadata and not all(isinstance(k, str) and isinstance(v, str) for k, v in metadata.items()):
        return False
    return True

# Usage
result = process_user_data("John", 30, ["john@example.com"], {"role": "admin"})
print(result)

? ???? mypy? ???? ??? ?? ?? ?? ??? ?? ?? ??? ?? ???? ??? ?????.

?? API ???? JSON ??? ??? ?? ?? ?? jsonschema? ?????.

import jsonschema

schema = {
    "type": "object",
    "properties": {
        "name": {"type": "string"},
        "age": {"type": "number", "minimum": 0},
        "pets": {
            "type": "array",
            "items": {"type": "string"},
            "minItems": 1
        }
    },
    "required": ["name", "age"]
}

data = {
    "name": "John Doe",
    "age": 30,
    "pets": ["dog", "cat"]
}

try:
    jsonschema.validate(instance=data, schema=schema)
    print("Data is valid")
except jsonschema.exceptions.ValidationError as err:
    print(f"Invalid data: {err}")

? ?? ??? ??? JSON ??? ???? ?? ??? ???? ???? ? ? ?? ?????.

?? ????? ?? ??? ??? ?????. ?? ?? FastAPI ??????? ?? ???? Pydantic? ????, ORM ???? Marshmallow? ????, ?? ??? ?? ????? ??? ??? ??? ? ????.

??? ?? ??? ?? ??? ???? Flask ??????? ???? ??? ?? ????.

from flask import Flask, request, jsonify
from marshmallow import Schema, fields, validate, ValidationError
from pydantic import BaseModel, EmailStr
from typing import List, Optional
import jsonschema

app = Flask(__name__)

# Pydantic model for request validation
class UserCreate(BaseModel):
    username: str
    email: EmailStr
    age: int
    tags: Optional[List[str]] = []

# Marshmallow schema for database serialization
class UserSchema(Schema):
    id = fields.Int(dump_only=True)
    username = fields.Str(required=True, validate=validate.Length(min=3))
    email = fields.Email(required=True)
    age = fields.Int(required=True, validate=validate.Range(min=18))
    tags = fields.List(fields.Str())

# JSON schema for API response validation
response_schema = {
    "type": "object",
    "properties": {
        "id": {"type": "number"},
        "username": {"type": "string"},
        "email": {"type": "string", "format": "email"},
        "age": {"type": "number", "minimum": 18},
        "tags": {
            "type": "array",
            "items": {"type": "string"}
        }
    },
    "required": ["id", "username", "email", "age"]
}

@app.route('/users', methods=['POST'])
def create_user():
    try:
        # Validate request data with Pydantic
        user_data = UserCreate(**request.json)

        # Simulate database operation
        user_dict = user_data.dict()
        user_dict['id'] = 1  # Assume this is set by the database

        # Serialize with Marshmallow
        user_schema = UserSchema()
        result = user_schema.dump(user_dict)

        # Validate response with jsonschema
        jsonschema.validate(instance=result, schema=response_schema)

        return jsonify(result), 201
    except ValidationError as err:
        return jsonify(err.messages), 400
    except jsonschema.exceptions.ValidationError as err:
        return jsonify({"error": str(err)}), 500

if __name__ == '__main__':
    app.run(debug=True)

? ???? Pydantic? ???? ?? ?? ???? ???? ????, Marshmallow? ???? ?????? ??? ???? ?????, jsonschema? ???? API ??? ??? ???? ????? ?????. ? ??? ?? ??? ??? ??? ?? ???? ??? ??? ?????.

?? ??? ??? ??? ? ?? ????? ???? ?? ??? ?????. ??? ????? ??? ??????? ?? ?? ?? ? ???? ?? ?? Python ??? ???? ??? ??? ? ????. ??? ????? ??? ??? ??? ????? ?? Pydantic, Marshmallow ?? Cerberus? ?? ?????? ???? ?? ???? ??? ??? ? ????.

??? ??? ??? ???? ?? ?????. ??? ???? ???? ??? ??? ????? ???? ??? ??? ?????? ??? ???? ? ????. ?? ???? ?? ???????? ??? ??? ?? ?? ??? ???? ??? ??? ??????? ??? ????.

?? ??? ??? ??? ? ?? ??? ?????. ?? ???? ?? ???? ???? ?? ???? ???? ???? ? ??? ?? ???? ?? ??? ?? ???? ?????. ???? ??? ?? ?? ??? ?? ??? ?? ?? ????? ??? ? ????.

from pydantic import BaseModel, EmailStr, validator
from typing import List

class User(BaseModel):
    username: str
    email: EmailStr
    age: int
    tags: List[str] = []

    @validator('age')
    def check_age(cls, v):
        if v < 18:
            raise ValueError('Must be 18 or older')
        return v

try:
    user = User(username="john_doe", email="john@example.com", age=25, tags=["python", "developer"])
    print(user.dict())
except ValidationError as e:
    print(e.json())

? ?? ??? ???? ?? ???? ?? ?? ? ??? ??? API ???? ??? ?? ??????? ?? ??? ? ????.

??? ??? ???? ? ?? ??? ?? ?????. ??? ??? ??? ?? SQL ???? XSS(?? ??? ????) ??? ?? ???? ?? ???? ??? ? ????. ??? ??? ??? ? ?? ?? ???? ?????? ??? ????? HTML? ????? ?? ???? ???? ?????.

from cerberus import Validator

schema = {
    'name': {'type': 'string', 'required': True, 'minlength': 2},
    'age': {'type': 'integer', 'min': 18, 'max': 99},
    'email': {'type': 'string', 'regex': '^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'},
    'interests': {'type': 'list', 'schema': {'type': 'string'}}
}

v = Validator(schema)
document = {'name': 'John Doe', 'age': 30, 'email': 'john@example.com', 'interests': ['python', 'data science']}

if v.validate(document):
    print("Document is valid")
else:
    print(v.errors)

? ??? ?? XSS ??? ???? ?? ??? ??? ???? ??? ?????. ?? ????????? ???? ?? ??? ?? ?? ?? ??? ???? ?? ???? ?????? ?????? ???? ??? ????.

???? ??? ??? ??? ???? ? ?? ???? ?????. ??? ??? ???? ?? ?? ??? ?? ??? ?? ??? ???? ????? ???? ?? ???? ?? ???? ?????. ???? ?? ??? ? ?? ?? ???? ?????.

from marshmallow import Schema, fields, validate, ValidationError

class UserSchema(Schema):
    id = fields.Int(dump_only=True)
    username = fields.Str(required=True, validate=validate.Length(min=3))
    email = fields.Email(required=True)
    created_at = fields.DateTime(dump_only=True)

user_data = {'username': 'john', 'email': 'john@example.com'}
schema = UserSchema()

try:
    result = schema.load(user_data)
    print(result)
except ValidationError as err:
    print(err.messages)

??? ???? ?? ?? ? ?? ?? ??? ??? ???? ??? ??? ??? ??? ??? ??? ?? ???? ????? ?????.

????? ???? ??? ??? ??? Python ??????? ???? ? ??? ?? ?????. ??? Python ??? ?? ?????? ??? ???? ??? ???? ???? ?????? ???? ???? ??? ???? ???? ?? ???? ?? ? ????. ??? ? ?? ?? ??? ??? ??? ??? ???? ???? ?? ? ?? ?? ???? ??? ??? ????. ??? ??? ???? ?? ??? ??? ??? ? ?? ??? Python ??????? ??? ? ?? ??? ??? ???.

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???? ??? | ??? ?? ???? | ?? ?? ??? | ????? | ??? ??? | ????? ???? | ???? | ??? ??? | JS ??

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?? ??? ???? | Epochs & Echoes World | ??????? | ???? ???? ?? | ??? ??? ?? | ?? ????

? ??? ??? ??????? ?? ??? Python ??? ?? ??? ?? ?????. ??? ??? PHP ??? ????? ?? ?? ??? ?????!