57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
from datetime import datetime, timezone
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from typing import Any
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from pydantic import BaseModel, Field
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class ImageRecord(BaseModel):
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fullres_image: str
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preview_image: str
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order_index: int = 0
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class CarRecord(BaseModel):
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parser_id: str
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brand: str
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model: str
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year: int | None = None
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price: int | None = None
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currency: str = "USD"
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mileage: int = 0
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country: str = "US"
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is_sold: bool = False
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color: str = "other"
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drive: str | None = None
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gearbox: str | None = None
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steering_wheel: str | None = None
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body_type: str = "OTHER"
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engine_volume: int | None = None
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selling_type: str = "AUCTION"
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one_owner: bool = False
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new_car: bool = False
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is_hidden: bool = False
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origin: str = "NA"
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origin_url: str
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origin_id: str
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is_damaged: bool = False
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evaluation: str | None = None
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non_smoking: bool = True
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rental: bool = False
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repair_history: bool = False
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slug: str
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last_seen_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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content_hash: str = ""
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images: list[ImageRecord] = Field(default_factory=list)
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raw_attributes: dict[str, Any] = Field(default_factory=dict)
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mapping_notes: list[str] = Field(default_factory=list)
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class ScrapeExport(BaseModel):
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source_url: str
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fetched_at_epoch: int
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vehicle_summary: dict[str, Any] = Field(default_factory=dict)
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payload_insights: dict[str, Any] = Field(default_factory=dict)
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db_record: CarRecord | None = None
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network: dict[str, Any] = Field(default_factory=dict)
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access_notes: dict[str, Any] = Field(default_factory=dict)
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