150 lines
4.9 KiB
Python
150 lines
4.9 KiB
Python
"""
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Alembic environment script for database migrations
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"""
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import sys
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from logging.config import fileConfig
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from pathlib import Path
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from alembic import context
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from sqlalchemy import engine_from_config, pool
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# Get the directory where this script is located
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current_dir = Path(__file__).resolve().parent
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# Import our custom module for path setup
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sys.path.insert(0, str(current_dir))
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try:
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from find_modules import setup_python_path
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# Setup Python path to find app modules in various environments
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setup_python_path()
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except ImportError:
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# Fallback for direct path setup if the module can't be imported
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project_root = current_dir.parent
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sys.path.insert(0, str(project_root))
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# Check if we're in a Docker container with code mounted at /app/repo
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repo_path = Path('/app/repo')
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if repo_path.exists():
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sys.path.insert(0, str(repo_path))
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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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# Try different import strategies to handle various deployment environments
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try:
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# Standard import approach
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from app.models import Todo # noqa
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from app.core.database import Base # noqa
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except ImportError:
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try:
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# Path-based import for some container setups
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import importlib.util
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# Try to find the module file
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for base_path in sys.path:
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model_path = Path(base_path) / "app" / "models" / "todo.py"
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db_path = Path(base_path) / "app" / "core" / "database.py"
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if model_path.exists() and db_path.exists():
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# Load the todo module
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spec = importlib.util.spec_from_file_location("todo", model_path)
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todo_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(todo_module)
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# Load the database module
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spec = importlib.util.spec_from_file_location("database", db_path)
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db_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(db_module)
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# Get the required objects
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Todo = getattr(todo_module, "Todo")
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Base = getattr(db_module, "Base")
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break
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else:
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# Try to find modules in the container-specific location
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model_path = Path('/app/repo/app/models/todo.py')
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db_path = Path('/app/repo/app/core/database.py')
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if model_path.exists() and db_path.exists():
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# Load the todo module
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spec = importlib.util.spec_from_file_location("todo", model_path)
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todo_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(todo_module)
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# Load the database module
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spec = importlib.util.spec_from_file_location("database", db_path)
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db_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(db_module)
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# Get the required objects
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Todo = getattr(todo_module, "Todo")
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Base = getattr(db_module, "Base")
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else:
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raise ImportError("Could not find app modules in any path")
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except Exception as e:
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print(f"Error importing models: {e}")
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print(f"Current sys.path: {sys.path}")
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raise
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target_metadata = Base.metadata
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def run_migrations_offline():
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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 run_migrations_online():
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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 = 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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)
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with connectable.connect() as connection:
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is_sqlite = connection.dialect.name == 'sqlite'
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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render_as_batch=is_sqlite, # Key configuration for SQLite
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)
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with context.begin_transaction():
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context.run_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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