marco
f5d1a1a20d
比价沉淀的价格事实(平台/门店/菜篮/到手价/时间/来源)无条件落库,server 侧存储、 与登录无关,独立于用户视角的 comparison_record。是未来"别人查过同店→秒回价格" 价格大数据的源头(先存数据,用法后续)。 - models/price_observation.py: 新增 price_observation 表。结构化列(平台/门店/价格/ 红包/地理/来源)+ dishes/attrs 两个 JSONB 兜底列;(trace_id,platform,scope) 幂等 唯一约束;observed_at/store_name/geohash/source_device_id/source_user_id 等索引 - alembic/versions/price_observation_table.py: 建表迁移,down_revision=wx_transfer_auth (已核为当前唯一 head,无多 head 风险) - schemas/ + repositories/price_observation.py: 批量收发模型 + 跨方言(PG/SQLite)幂等 批量插入(先查 trace 已有 (platform,scope) 只插新的,并发撞唯一约束则回滚跳过) - api/internal/price.py: 新增 POST /internal/price-observation,X-Internal-Secret 头校验 (常量时间比较,未配密钥→503),server→server 专用,不走用户 JWT - core/config.py + main.py: 新增 INTERNAL_API_SECRET 配置 + 注册内部路由 - .env.example: INTERNAL_API_SECRET(须与 pricebot 侧同值,留空=内部写端点关闭) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: pure <pure@192.168.0.104> Reviewed-on: #21
75 lines
4.3 KiB
Python
75 lines
4.3 KiB
Python
"""price_observation table (价格观测:比价沉淀的价格资产层,server 侧无条件落库)
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Revision ID: price_observation_table
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Revises: wx_transfer_auth
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Create Date: 2026-06-07 00:00:00.000000
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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 = 'price_observation_table'
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down_revision: Union[str, Sequence[str], None] = 'wx_transfer_auth'
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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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op.create_table(
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'price_observation',
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sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
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sa.Column('observed_at', sa.DateTime(timezone=True), server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
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sa.Column('trace_id', sa.String(length=64), nullable=False),
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sa.Column('business_type', sa.String(length=16), nullable=False),
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sa.Column('platform', sa.String(length=32), nullable=False),
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sa.Column('platform_store_id', sa.String(length=64), nullable=True),
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sa.Column('store_name', sa.String(length=128), nullable=True),
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sa.Column('city', sa.String(length=64), nullable=True),
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sa.Column('geohash', sa.String(length=16), nullable=True),
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sa.Column('lng', sa.Float(), nullable=True),
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sa.Column('lat', sa.Float(), nullable=True),
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sa.Column('is_source', sa.Boolean(), nullable=False),
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sa.Column('scope', sa.String(length=16), nullable=False),
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sa.Column('price_cents', sa.Integer(), nullable=True),
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sa.Column('coupon_saved_cents', sa.Integer(), nullable=True),
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sa.Column('coupon_name', sa.String(length=64), nullable=True),
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sa.Column('store_closed', sa.String(length=32), nullable=True),
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sa.Column('rank', sa.Integer(), nullable=True),
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# PG 上为 JSONB,其它(SQLite)为 JSON——与模型层 with_variant 对齐
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sa.Column('dishes', sa.JSON().with_variant(sa.dialects.postgresql.JSONB(), 'postgresql'), nullable=True),
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sa.Column('attrs', sa.JSON().with_variant(sa.dialects.postgresql.JSONB(), 'postgresql'), nullable=True),
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sa.Column('source_device_id', sa.String(length=64), nullable=True),
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sa.Column('source_user_id', sa.Integer(), nullable=True),
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sa.Column('confidence', sa.Float(), nullable=False),
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sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
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sa.PrimaryKeyConstraint('id'),
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sa.UniqueConstraint('trace_id', 'platform', 'scope', name='uq_price_obs_trace_platform_scope'),
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)
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with op.batch_alter_table('price_observation', schema=None) as batch_op:
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batch_op.create_index(batch_op.f('ix_price_observation_observed_at'), ['observed_at'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_trace_id'), ['trace_id'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_business_type'), ['business_type'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_platform'), ['platform'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_store_name'), ['store_name'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_geohash'), ['geohash'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_source_device_id'), ['source_device_id'], unique=False)
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batch_op.create_index(batch_op.f('ix_price_observation_source_user_id'), ['source_user_id'], unique=False)
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def downgrade() -> None:
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with op.batch_alter_table('price_observation', schema=None) as batch_op:
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batch_op.drop_index(batch_op.f('ix_price_observation_source_user_id'))
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batch_op.drop_index(batch_op.f('ix_price_observation_source_device_id'))
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batch_op.drop_index(batch_op.f('ix_price_observation_geohash'))
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batch_op.drop_index(batch_op.f('ix_price_observation_store_name'))
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batch_op.drop_index(batch_op.f('ix_price_observation_platform'))
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batch_op.drop_index(batch_op.f('ix_price_observation_business_type'))
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batch_op.drop_index(batch_op.f('ix_price_observation_trace_id'))
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batch_op.drop_index(batch_op.f('ix_price_observation_observed_at'))
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op.drop_table('price_observation')
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