mirror of
https://github.com/PaiGramTeam/PaiGram.git
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131 lines
3.8 KiB
Python
131 lines
3.8 KiB
Python
import asyncio
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import os
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from importlib import import_module
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from itertools import chain
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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 (
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engine_from_config,
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pool,
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)
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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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from utils.const import (
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CORE_DIR,
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PLUGIN_DIR,
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PROJECT_ROOT,
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)
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from utils.log import logger
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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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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 config.config_file_name is not None:
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fileConfig(config.config_file_name)
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def scan_models() -> Iterator[str]:
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"""扫描 core 和 plugins 目录下所有 models.py 模块。
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我们规定所有插件的 model 都需要放在名为 models.py 的文件里。"""
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dirs = [CORE_DIR, PLUGIN_DIR]
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for path in chain(*[d.glob("**/models.py") for d in dirs]):
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yield str(path.relative_to(PROJECT_ROOT).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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try:
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import_module(pkg) # 导入 models
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except Exception as e: # pylint: disable=W0703
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logger.error(f'在导入文件 "{pkg}" 的过程中遇到了错误: \n[red bold]{type(e).__name__}: {e}[/]')
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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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from core.config import config as botConfig
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section = config.config_ini_section
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config.set_section_option(section, "DB_HOST", botConfig.mysql.host)
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config.set_section_option(section, "DB_PORT", str(botConfig.mysql.port))
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config.set_section_option(section, "DB_USERNAME", botConfig.mysql.username)
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config.set_section_option(section, "DB_PASSWORD", botConfig.mysql.password)
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config.set_section_option(section, "DB_DATABASE", botConfig.mysql.database)
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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 = 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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)
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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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config.get_section(config.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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