The runtime role (lovebug) doesn't have CREATE on the petalbrain database even though it owns the second_brain schema, so a bare `CREATE SCHEMA IF NOT EXISTS` errors out with permission denied. Gate the bootstrap on a pg_namespace lookup so we only attempt the create when the schema is genuinely missing — operators bootstrap it once as postgres superuser, alembic just respects it afterward. The smoke test exercises the full Postgres + embedding path against a live DB + Ollama (autoskipped otherwise): writes an extraction, embeds the summary, asserts public.embeddings has the expected row count, and re-embeds to verify the delete-before-insert idempotency.
120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
"""Alembic environment for second-brain — second_brain schema.
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Mirrors vault-mcp/alembic/env.py. Reads SECOND_BRAIN_DATABASE_URL (with
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HERBYLAB_DATABASE_URL as a fallback) so the same migration tree works
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across local dev, CI, and production.
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The connection bootstraps the `second_brain` schema and pins alembic's
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own version table to that schema; migration scripts themselves set
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search_path before issuing unqualified DDL.
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The bootstrap-then-commit pattern below is the fix for the "autobegin
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trap": running any further statement before context.begin_transaction()
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would autobegin a new transaction, causing alembic's begin_transaction()
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to nest as a savepoint that silently rolls back when the connection
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closes. Do not regress this.
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"""
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from __future__ import annotations
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import os
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from logging.config import fileConfig
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from dotenv import load_dotenv
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from sqlalchemy import engine_from_config, pool
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from alembic import context
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# Make the project's `src/` importable so `second_brain.models` resolves
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# without a `pip install -e .`.
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import sys
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from pathlib import Path
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_PROJECT_ROOT = Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(_PROJECT_ROOT / "src"))
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from second_brain.models import Base, SCHEMA # noqa: E402
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load_dotenv()
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config = context.config
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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def _resolve_db_url() -> str | None:
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"""Pick the first usable URL out of the two homelab conventions."""
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for var in ("SECOND_BRAIN_DATABASE_URL", "HERBYLAB_DATABASE_URL"):
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v = os.environ.get(var)
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if v:
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return v
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return None
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_db_url = _resolve_db_url()
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if _db_url:
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config.set_main_option("sqlalchemy.url", _db_url)
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target_metadata = Base.metadata
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def run_migrations_offline() -> None:
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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version_table_schema=SCHEMA,
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include_schemas=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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# Bootstrap the schema before alembic looks for alembic_version.
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# The runtime role (lovebug) does NOT have CREATE on the petalbrain
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# database — bare `CREATE SCHEMA IF NOT EXISTS` would fail with
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# permission denied even though the schema already exists. So we
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# only attempt to create it when the schema is genuinely missing
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# (operator must have bootstrapped it once as postgres superuser:
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# `CREATE SCHEMA second_brain AUTHORIZATION lovebug`).
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# Commit explicitly so any DDL persists; otherwise the implicit
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# transaction is rolled back when the connection closes. Avoid
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# running any further statement here — it would autobegin a new
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# transaction and cause alembic's `begin_transaction()` to nest as
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# a savepoint, which silently rolls back when the connection closes.
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# The migration script sets search_path itself.
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row = connection.exec_driver_sql(
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"SELECT 1 FROM pg_namespace WHERE nspname = %s",
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(SCHEMA,),
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).fetchone()
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if row is None:
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connection.exec_driver_sql(f"CREATE SCHEMA {SCHEMA}")
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connection.commit()
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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version_table_schema=SCHEMA,
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include_schemas=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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