All sibling services on the box manage schema with Alembic (async env, `alembic upgrade head` in the compose command). matchmaking-v2 was the outlier (Base.metadata.create_all + no migration for the new user_feed.exhausted_at column). Bring it onto the pattern: - alembic.ini + alembic/env.py (async, URL from settings.DATABASE_URL, target = Base.metadata) + script.py.mako — copied/adapted from user-service. - versions/0001_baseline: the current prod schema (user_feed WITHOUT exhausted_at + opportunity_state). - versions/0002_pool_and_exhausted: CREATE user_job_pool + ADD user_feed.exhausted_at (additive). - Dockerfile: COPY alembic.ini + alembic/. requirements: alembic>=1.13.0. Verified both paths: fresh DB → upgrade head builds all 3 tables; prod-like (existing tables+data) → stamp 0001 → upgrade runs ONLY 0002, existing rows survive. 64 tests pass. PROD ADOPTION (one-time): `alembic stamp 0001_baseline` on RDS before the first deploy, then the compose's `alembic upgrade head` applies 0002.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""warm pool — create user_job_pool + add user_feed.exhausted_at.
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The actual change this deploy ships: the warm-pool table and the exhaustion-guard column. Additive +
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non-breaking (old code ignores them). On prod: stamp 0001 (existing schema), then this runs.
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Revision ID: 0002_pool_and_exhausted
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Revises: 0001_baseline
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Create Date: 2026-06-26
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"""
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from alembic import op
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import sqlalchemy as sa
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revision = "0002_pool_and_exhausted"
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down_revision = "0001_baseline"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.create_table(
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"user_job_pool",
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sa.Column("user_id", sa.String(), primary_key=True),
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sa.Column("query_sig", sa.String(), primary_key=True),
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sa.Column("job_id", sa.String(), primary_key=True),
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sa.Column("job", sa.JSON(), nullable=True),
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sa.Column("pooled_at", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=True),
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)
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op.add_column("user_feed", sa.Column("exhausted_at", sa.DateTime(timezone=True), nullable=True))
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def downgrade() -> None:
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op.drop_column("user_feed", "exhausted_at")
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op.drop_table("user_job_pool")
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