85 lines
2.7 KiB
Python
85 lines
2.7 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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import os
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy import text
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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 as models # register ORM models with Base.metadata
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_ = models
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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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render_as_batch = connection.dialect.name == "sqlite"
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# On MySQL, shrink the session lock waits so a blocked DDL fails fast
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# instead of hanging on the server default (lock_wait_timeout = 31536000s
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# = 1 year; innodb_lock_wait_timeout = 50s). Without this, an idle
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# transaction on another connection can freeze startup indefinitely.
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# Tunable via DEER_FLOW_ALEMBIC_LOCK_WAIT (seconds, default 15).
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if connection.dialect.name == "mysql":
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try:
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lock_wait = int(os.getenv("DEER_FLOW_ALEMBIC_LOCK_WAIT", "15"))
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except ValueError:
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lock_wait = 15
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connection.execute(text(f"SET SESSION lock_wait_timeout = {lock_wait}"))
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connection.execute(text(f"SET SESSION innodb_lock_wait_timeout = {lock_wait}"))
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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=render_as_batch, # 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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