marco
fdd3d8cf9b
京东秒送接入: 店铺身份是两个稳定数字 id —— storeId 进 id_jd(同 taobao shopId→id_taobao), venderId(deeplink 还需、商家维度)单列存 jd_vender_id; 另加 jd_share_url/jd_resolved_url/ jd_deeplink 原料列(与 taobao_*/meituan_* 平行)。迁移 store_mapping_jd_cols 加这 4 列 + jd_vender_id 索引。 顺手修一个潜在 bug: upsert 的首写(INSERT)原来硬编码只灌 taobao+通用列, 首写的若是美团/ 京东腿, 它们的列不在构造器里会被丢。改成按 _MERGE_COLUMNS 逐列 setattr, 任意平台首写都全量 落库(美团也受益)。合并(填空不覆盖)逻辑不变。 验证: 迁移单 head、store_mapping 无新漂移; TestClient 打真 PG —— 京东首写 4 列全落 → 淘宝同 trace 合并填淘宝列、不覆盖京东列。 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""平台店铺映射内部上报的收发模型。
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pricebot 在淘宝比价拿到 shopId 后 server→server POST 一行映射。所有字段可空(按比价
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角色稀疏填充),server 端只校验共享密钥 + 幂等(trace_id)落库。
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"""
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from __future__ import annotations
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from pydantic import BaseModel
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class StoreMappingIn(BaseModel):
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"""一次比价的跨平台店铺映射上报体(一行)。"""
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trace_id: str
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business_type: str = "food"
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source_platform: str | None = None
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# 跨平台身份(按角色稀疏填充)
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id_taobao: str | None = None
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name_taobao: str | None = None
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id_meituan: str | None = None
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name_meituan: str | None = None
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id_jd: str | None = None
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name_jd: str | None = None
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# 地理
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city: str | None = None
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geohash: str | None = None
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lng: float | None = None
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lat: float | None = None
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taobao_address: str | None = None
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# 溯源
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source_device_id: str | None = None
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source_user_id: int | None = None
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# 淘宝原料(可复跳 / 可重解析 / 调试)
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taobao_share_url: str | None = None
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taobao_resolved_url: str | None = None
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taobao_deeplink: str | None = None
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# 美团原料(poi_id_str 非稳定主键, 单列存; 见 model 注释)
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meituan_poi_id_str: str | None = None
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meituan_share_url: str | None = None
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meituan_resolved_url: str | None = None
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meituan_deeplink: str | None = None
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# 京东原料(venderId 单列存, storeId 进 id_jd; 见 model 注释)
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jd_vender_id: str | None = None
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jd_share_url: str | None = None
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jd_resolved_url: str | None = None
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jd_deeplink: str | None = None
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attrs: dict | None = None
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class StoreMappingOut(BaseModel):
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"""上报结果。inserted=1 为新建该 trace 行,0 为合并进已存在行(填空,不覆盖);
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row_id 为该 trace 对应行 id。"""
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inserted: int
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row_id: int | None = None
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