mirror of
https://github.com/Xtao-Labs/misskey2telegram.git
synced 2024-11-29 07:57:03 +00:00
116 lines
3.3 KiB
Python
116 lines
3.3 KiB
Python
import asyncio
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import os
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import traceback
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from pathlib import Path
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from importlib import import_module
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from logging.config import fileConfig
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from typing import Iterator
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from alembic import context
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from sqlalchemy import engine_from_config, pool
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import AsyncEngine
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from sqlmodel import SQLModel
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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_cfg = 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_cfg.config_file_name is not None:
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fileConfig(alembic_cfg.config_file_name) # skipcq: PY-A6006
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def scan_models() -> Iterator[str]:
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"""扫描 models/models 目录下所有 *.py 文件"""
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models_path = Path("models/models")
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for path in list(models_path.glob("*.py")):
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yield str(path.with_suffix("")).replace(os.sep, ".")
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def import_models():
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"""导入我们所有的 models，使 alembic 可以自动对比 db scheme 创建 migration revision"""
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for pkg in scan_models():
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print("Importing models from %s" % pkg)
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try:
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import_module(pkg) # 导入 models
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except Exception: # pylint: disable=W0703
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traceback.print_exc()
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print("Error importing models from %s" % pkg)
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# register our models for alembic to auto-generate migrations
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import_models()
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target_metadata = SQLModel.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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# here we allow ourselves to pass interpolation vars to alembic.ini
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# from the application config module
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sqlalchemy_url = alembic_cfg.get_main_option("sqlalchemy.url")
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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_cfg.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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)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(connection: Connection) -> None:
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context.configure(connection=connection, target_metadata=target_metadata)
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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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"""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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connectable = AsyncEngine(
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engine_from_config(
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alembic_cfg.get_section(alembic_cfg.config_ini_section),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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future=True,
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)
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)
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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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