cleanup and fix runtime bugs

iaai_scraper/storage/schemas.py

@@ -1,18 +1,16 @@
 from datetime import datetime, timezone
 from typing import Any
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 
 class ImageRecord(BaseModel):
-	# Нормализованная схема одной картинки.
 	fullres_image: str
 	preview_image: str
 	order_index: int = 0
 
 
 class CarRecord(BaseModel):
-	# Основная Pydantic-схема машины перед записью в БД.
 	parser_id: str
 	brand: str
 	model: str
@@ -48,12 +46,33 @@ class CarRecord(BaseModel):
 	mapping_notes: list[str] = Field(default_factory=list)
 
 
-class ScrapeExport(BaseModel):
-	# Экспорт результата scrape для JSON-выгрузки.
-	source_url: str
-	fetched_at_epoch: int
-	vehicle_summary: dict[str, Any] = Field(default_factory=dict)
-	payload_insights: dict[str, Any] = Field(default_factory=dict)
-	db_record: CarRecord | None = None
-	network: dict[str, Any] = Field(default_factory=dict)
-	access_notes: dict[str, Any] = Field(default_factory=dict)
+class CarRead(BaseModel):
+	# Ответ API по авто.
+	model_config = ConfigDict(from_attributes=True)
+
+	id: int
+	parser_id: str
+	brand: str
+	model: str
+	year: int | None = None
+	price: int | None = None
+	currency: str = "USD"
+	mileage: int = 0
+	country: str = "US"
+	is_sold: bool = False
+	color: str = "other"
+	drive: str | None = None
+	gearbox: str | None = None
+	steering_wheel: str | None = None
+	body_type: str = "OTHER"
+	engine_volume: int | None = None
+	selling_type: str = "AUCTION"
+	origin: str = "NA"
+	origin_url: str = ""
+	origin_id: str = ""
+	is_damaged: bool = False
+	slug: str = ""
+	last_seen_at: datetime | None = None
+	created_at: datetime | None = None
+	updated_at: datetime | None = None
+