131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
import asyncio
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from logging.config import fileConfig
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import create_async_engine
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from sqlalchemy import pool
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from alembic import context
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from app.config.path_conf import ALEMBIC_VERSION_DIR
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from app.utils.import_util import ImportUtil
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from app.core.base_model import MappedBase
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from app.config.setting import settings
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# 确保 alembic 版本目录存在
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ALEMBIC_VERSION_DIR.mkdir(parents=True, exist_ok=True)
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# 清除MappedBase.metadata中的表定义，避免重复注册
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if hasattr(MappedBase, 'metadata') and MappedBase.metadata.tables:
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print(f"🧹 清除已存在的表定义，当前有 {len(MappedBase.metadata.tables)} 个表")
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# 创建一个新的空metadata对象
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from sqlalchemy import MetaData
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MappedBase.metadata = MetaData()
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print("✅️ 已重置metadata")
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# 自动查找所有模型
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print("🔍 开始查找模型...")
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found_models = ImportUtil.find_models(MappedBase)
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print(f"📊 找到 {len(found_models)} 个有效模型")
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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alembic_config = context.config
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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if alembic_config.config_file_name is not None:
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fileConfig(alembic_config.config_file_name)
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# add your model's MetaData object here
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# for 'autogenerate' support
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# from myapp import mymodel
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# target_metadata = mymodel.Base.metadata
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target_metadata = MappedBase.metadata
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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alembic_config.set_main_option("sqlalchemy.url", settings.ASYNC_DB_URI)
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def run_migrations_offline() -> None:
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = alembic_config.get_main_option("sqlalchemy.url")
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# 确保URL不为None
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if url is None:
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raise ValueError("数据库URL未正确配置，请检查环境配置文件")
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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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)
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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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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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url = alembic_config.get_main_option("sqlalchemy.url")
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# 确保URL不为None
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if url is None:
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raise ValueError("数据库URL未正确配置，请检查环境配置文件")
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connectable = create_async_engine(url, poolclass=pool.NullPool)
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async def run_async_migrations():
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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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def do_run_migrations(connection: Connection) -> None:
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def process_revision_directives(context, revision, directives):
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script = directives[0]
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# 检查所有操作集是否为空
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all_empty = all(ops.is_empty() for ops in script.upgrade_ops_list)
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if all_empty:
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# 如果没有实际变更，不生成迁移文件
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directives[:] = []
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print('❎️ 未检测到模型变更，不生成迁移文件')
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else:
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print('✅️ 检测到模型变更，生成迁移文件')
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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compare_type=True,
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compare_server_default=True,
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transaction_per_migration=True,
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process_revision_directives=process_revision_directives,
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)
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with context.begin_transaction():
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context.run_migrations()
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asyncio.run(run_async_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() |