mirror of
https://github.com/Balshgit/gpt_chat_bot.git
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* add testing database and chatgpt factories * include lint job to develop stage * reformat audioconverter save files to tmp directory * add api tests * update README.md
82 lines
2.1 KiB
Python
82 lines
2.1 KiB
Python
import asyncio
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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.engine import create_async_engine
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from sqlalchemy.future import Connection
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from infra.database.db_adapter import load_all_models
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from infra.database.meta import meta
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from settings.config import settings
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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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# for 'autogenerate' support from myapp import mymodel
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load_all_models()
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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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# add your model's MetaData object here
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target_metadata = meta
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async 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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context.configure(
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url=str(settings.async_db_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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"""
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Run actual sync migrations.
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:param connection: connection to the database.
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"""
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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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"""
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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 = create_async_engine(str(settings.async_db_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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if context.is_offline_mode():
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asyncio.run(run_migrations_offline())
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else:
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asyncio.run(run_migrations_online())
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