| from abc import ABC, abstractmethod
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| from typing import Any, Dict, List, Type
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|
|
| from pydantic import BaseModel
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|
|
| from app.schemas.schema_tools import (
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| convert_attribute_to_model,
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| validate_json_data,
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| validate_json_schema,
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| )
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|
|
|
|
| class BaseAttributionService(ABC):
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| @abstractmethod
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| async def extract_attributes(
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| self,
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| attributes_model: Type[BaseModel],
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| ai_model: str,
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| img_urls: List[str],
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| product_taxonomy: str,
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| pil_images: List[Any] = None,
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| ) -> Dict[str, Any]:
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| pass
|
|
|
| @abstractmethod
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| async def follow_schema(
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| self, schema: Dict[str, Any], data: Dict[str, Any]
|
| ) -> Dict[str, Any]:
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| pass
|
|
|
| async def extract_attributes_with_validation(
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| self,
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| attributes: Dict[str, Any],
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| ai_model: str,
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| img_urls: List[str],
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| product_taxonomy: str,
|
| product_data: Dict[str, str],
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| pil_images: List[Any] = None,
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| img_paths: List[str] = None,
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| ) -> Dict[str, Any]:
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|
|
| attributes_model = convert_attribute_to_model(attributes)
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| schema = attributes_model.model_json_schema()
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| data = await self.extract_attributes(
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| attributes_model,
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| ai_model,
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| img_urls,
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| product_taxonomy,
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| product_data,
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|
|
| img_paths=img_paths,
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| )
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| validate_json_data(data, schema)
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| return data
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|
|
| async def follow_schema_with_validation(
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| self, schema: Dict[str, Any], data: Dict[str, Any]
|
| ) -> Dict[str, Any]:
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| validate_json_schema(schema)
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| data = await self.follow_schema(schema, data)
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| validate_json_data(data, schema)
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| return data
|
|
|