the task #2 from HW #2 was completed

HWs/DmitriyK/HM2/main.py

@@ -0,0 +1,63 @@
+import pydantic
+from pydantic import BaseModel, EmailStr, Field, model_validator
+
+class Address(BaseModel):
+    city: str = Field(..., min_length=2)
+    street: str = Field(..., min_length=3)
+    house_number: int = Field(..., gt=0)
+
+class User(BaseModel):
+    name: str = Field(..., min_length=2, pattern=r"^[a-zA-Z\s]+$")
+    age: int = Field(..., ge=0, le=120)
+    email: EmailStr
+    is_employed: bool
+    address: Address
+
+    @model_validator(mode='after')
+    def validate_employment_age(self) -> 'User':
+        if self.is_employed:
+            if not (18 <= self.age <= 65):
+                raise ValueError(
+                    f"Employed users must be between 18 and 65 years old. "
+                    f"Current age provided: {self.age}"
+                )
+        return self
+
+
+def process_user_registration(json_str: str) -> str:
+    """
+    Deserializes JSON, validates data using Pydantic,
+    and serializes it back to JSON.
+    """
+    try:
+        user = User.model_validate_json(json_str)
+        return user.model_dump_json(indent=4)
+    except pydantic.ValidationError as e:
+        return f"Validation error: {e.json()}"
+
+if __name__ == "__main__":
+    success_json = """{
+        "name": "John Doe",
+        "age": 30,
+        "email": "john.doe@example.com",
+        "is_employed": true,
+        "address": {
+            "city": "Berlin",
+            "street": "Friedrichstrasse",
+            "house_number": 101
+        }
+    }"""
+
+    failed_age_json = """{
+        "name": "Old Working Man",
+        "age": 70,
+        "email": "oldman@example.com",
+        "is_employed": true,
+        "address": {"city": "Hamburg", "street": "Reeperbahn", "house_number": 5}
+    }"""
+
+    print("--- SUCCESS CASE ---")
+    print(process_user_registration(success_json))
+
+    print("\n--- FAILED CASE (Age 70 + Employed) ---")
+    print(process_user_registration(failed_age_json))