new api service and logic implemented
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# Original content from ApiEvents/ValidationServiceApi/schema_converter.py
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from typing import Dict, Any, Type, get_type_hints, get_args, get_origin
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from pydantic import BaseModel, Field, EmailStr
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from enum import Enum
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import inspect
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from fastapi import APIRouter
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from datetime import datetime
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# ... rest of the file content ...
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@@ -0,0 +1,146 @@
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from typing import Dict, Any, Type, Optional
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from pydantic import BaseModel
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from fastapi import APIRouter, Header
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class ValidationMessages(BaseModel):
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"""Messages for Zod validation"""
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required: str
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invalid_type: str
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invalid_string: Dict[str, str] # email, url, etc
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too_small: Dict[str, str] # string, array, number
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too_big: Dict[str, str] # string, array, number
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invalid_date: str
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invalid_enum: str
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custom: Dict[str, str]
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class SchemaField(BaseModel):
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"""Schema field definition"""
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type: str
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items: Optional[str] = None # For arrays
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values: Optional[list] = None # For enums
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validations: Optional[Dict[str, Any]] = None
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class SchemaDefinition(BaseModel):
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"""Complete schema definition"""
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name: str
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fields: Dict[str, SchemaField]
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messages: ValidationMessages
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class UnifiedSchemaService:
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def __init__(self):
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self.messages = {
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"tr": ValidationMessages(
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required="Bu alan zorunludur",
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invalid_type="Geçersiz tip",
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invalid_string={
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"email": "Geçerli bir e-posta adresi giriniz",
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"url": "Geçerli bir URL giriniz",
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"uuid": "Geçerli bir UUID giriniz"
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},
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too_small={
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"string": "{min} karakterden az olamaz",
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"array": "En az {min} öğe gereklidir",
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"number": "En az {min} olmalıdır"
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},
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too_big={
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"string": "{max} karakterden fazla olamaz",
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"array": "En fazla {max} öğe olabilir",
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"number": "En fazla {max} olabilir"
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},
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invalid_date="Geçerli bir tarih giriniz",
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invalid_enum="Geçersiz seçim",
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custom={
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"password_match": "Şifreler eşleşmiyor",
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"strong_password": "Şifre güçlü değil"
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}
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),
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"en": ValidationMessages(
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required="This field is required",
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invalid_type="Invalid type",
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invalid_string={
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"email": "Please enter a valid email",
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"url": "Please enter a valid URL",
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"uuid": "Please enter a valid UUID"
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},
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too_small={
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"string": "Must be at least {min} characters",
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"array": "Must contain at least {min} items",
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"number": "Must be at least {min}"
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},
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too_big={
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"string": "Must be at most {max} characters",
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"array": "Must contain at most {max} items",
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"number": "Must be at most {max}"
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},
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invalid_date="Please enter a valid date",
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invalid_enum="Invalid selection",
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custom={
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"password_match": "Passwords do not match",
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"strong_password": "Password is not strong enough"
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}
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)
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}
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def get_schema_with_messages(
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self,
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model: Type[BaseModel],
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lang: str = "tr"
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) -> SchemaDefinition:
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"""Get schema definition with validation messages"""
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fields: Dict[str, SchemaField] = {}
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for field_name, field in model.__fields__.items():
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field_info = SchemaField(
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type=self._get_field_type(field.outer_type_),
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items=self._get_items_type(field.outer_type_),
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values=self._get_enum_values(field.outer_type_),
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validations=self._get_validations(field)
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)
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fields[field_name] = field_info
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return SchemaDefinition(
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name=model.__name__,
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fields=fields,
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messages=self.messages[lang]
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)
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def _get_field_type(self, type_: Type) -> str:
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# Implementation similar to SchemaConverter
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pass
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def _get_items_type(self, type_: Type) -> Optional[str]:
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# Implementation similar to SchemaConverter
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pass
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def _get_enum_values(self, type_: Type) -> Optional[list]:
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# Implementation similar to SchemaConverter
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pass
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def _get_validations(self, field) -> Optional[Dict[str, Any]]:
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# Implementation similar to SchemaConverter
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pass
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router = APIRouter(prefix="/api/schema", tags=["Schema"])
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schema_service = UnifiedSchemaService()
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@router.get("/model/{model_name}")
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async def get_model_schema(
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model_name: str,
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accept_language: Optional[str] = Header(default="tr")
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) -> SchemaDefinition:
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"""Get model schema with validation messages"""
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# You'd need to implement model lookup
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models = {
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"User": UserModel,
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"Product": ProductModel,
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# Add your models here
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}
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if model_name not in models:
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raise ValueError(f"Model {model_name} not found")
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lang = accept_language.split(",")[0][:2]
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return schema_service.get_schema_with_messages(
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models[model_name],
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lang if lang in ["tr", "en"] else "tr"
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)
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