rayhpeng
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
"""Alembic environment for DeerFlow application tables.
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ONLY manages DeerFlow's tables (runs, threads_meta, cron_jobs, users).
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LangGraph's checkpointer tables are managed by LangGraph itself -- they
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have their own schema lifecycle and must not be touched by Alembic.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy.ext.asyncio import create_async_engine
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from deerflow.persistence.base import Base
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# Import all models so metadata is populated.
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try:
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import deerflow.persistence.models # noqa: F401 — register ORM models with Base.metadata
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except ImportError:
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# Models not available — migration will work with existing metadata only.
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logging.getLogger(__name__).warning("Could not import deerflow.persistence.models; Alembic may not detect all tables")
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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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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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render_as_batch=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 do_run_migrations(connection):
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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render_as_batch=True, # Required for SQLite ALTER TABLE support
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)
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with context.begin_transaction():
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context.run_migrations()
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async def run_migrations_online() -> None:
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connectable = create_async_engine(config.get_main_option("sqlalchemy.url"))
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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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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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asyncio.run(run_migrations_online())
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