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>
41 lines
1.8 KiB
Python
41 lines
1.8 KiB
Python
"""store_mapping 加京东原料列(jd_vender_id + 分享链/反查 URL/deeplink)
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Revision ID: store_mapping_jd_cols
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Revises: store_mapping_meituan_cols
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Create Date: 2026-06-13 00:00:00.000000
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京东秒送接入店内搜索 deeplink 链路: 3.cn 短链 → 跟随重定向反查 venderId+storeId →
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openapp.jdmobile:// deeplink。京东店铺身份是**两个**稳定数字 id: storeId 进 id_jd(稳定
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店主键, 同 taobao 的 shopId→id_taobao), venderId 进单列 jd_vender_id(deeplink 还需它)。
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其余三列与 taobao_*/meituan_* 原料列平行。
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision: str = 'store_mapping_jd_cols'
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down_revision: Union[str, Sequence[str], None] = 'store_mapping_meituan_cols'
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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with op.batch_alter_table('store_mapping', schema=None) as batch_op:
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batch_op.add_column(sa.Column('jd_vender_id', sa.String(length=64), nullable=True))
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batch_op.add_column(sa.Column('jd_share_url', sa.String(length=256), nullable=True))
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batch_op.add_column(sa.Column('jd_resolved_url', sa.Text(), nullable=True))
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batch_op.add_column(sa.Column('jd_deeplink', sa.Text(), nullable=True))
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batch_op.create_index(batch_op.f('ix_store_mapping_jd_vender_id'), ['jd_vender_id'], unique=False)
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def downgrade() -> None:
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with op.batch_alter_table('store_mapping', schema=None) as batch_op:
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batch_op.drop_index(batch_op.f('ix_store_mapping_jd_vender_id'))
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batch_op.drop_column('jd_deeplink')
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batch_op.drop_column('jd_resolved_url')
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batch_op.drop_column('jd_share_url')
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batch_op.drop_column('jd_vender_id')
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