Alembic experiments
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125
alembic/env.py
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125
alembic/env.py
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"""Alembic environment configuration for async SQLAlchemy."""
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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 import pool
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import async_engine_from_config
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# Import your models' Base to enable autogenerate
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from alpine_bits_python.config_loader import load_config
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from alpine_bits_python.db import (
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Base,
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configure_schema,
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get_database_schema,
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get_database_url,
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)
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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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# Load application config to get database URL and schema
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try:
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app_config = load_config()
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except (FileNotFoundError, KeyError, ValueError):
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# Fallback if config can't be loaded (e.g., during initial setup)
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app_config = {}
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# Get database URL from application config
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db_url = get_database_url(app_config)
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if db_url:
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config.set_main_option("sqlalchemy.url", db_url)
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# Get schema name from application config
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schema_name = get_database_schema(app_config)
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if schema_name:
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# Configure schema for all tables before migrations
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configure_schema(schema_name)
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# add your model's MetaData object here for 'autogenerate' support
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target_metadata = Base.metadata
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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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version_table_schema=schema_name, # Store alembic_version in our schema
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include_schemas=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: Connection) -> None:
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"""Run migrations with the given connection."""
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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version_table_schema=schema_name, # Store alembic_version in our schema
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include_schemas=True, # Allow Alembic to work with non-default schemas
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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_async_migrations() -> None:
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"""Run migrations in 'online' mode using async engine.
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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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# Get the config section for sqlalchemy settings
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configuration = config.get_section(config.config_ini_section, {})
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# Add connect_args for PostgreSQL schema support if needed
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if schema_name and "postgresql" in configuration.get("sqlalchemy.url", ""):
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configuration["connect_args"] = {
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"server_settings": {"search_path": f"{schema_name},public"}
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}
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# Create async engine
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connectable = async_engine_from_config(
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configuration,
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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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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def run_migrations_online() -> None:
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"""Run migrations in 'online' mode - entry point."""
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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()
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