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110 lines
3.2 KiB
Python
110 lines
3.2 KiB
Python
import importlib
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from logging.config import fileConfig
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import os
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import alembic_postgresql_enum # noqa: F401
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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from sqlmodel import SQLModel
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from alembic import context
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from config.config import get_learnhouse_config
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# LearnHouse config
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lh_config = get_learnhouse_config()
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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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# add your model's MetaData object here
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# for 'autogenerate' support
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# from myapp import mymodel
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# target_metadata = mymodel.Base.metadata
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# IMPORTING ALL SCHEMAS
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base_dir = 'src/db'
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base_module_path = 'src.db'
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# Recursively walk through the base directory
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for root, dirs, files in os.walk(base_dir):
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# Filter out __init__.py and non-Python files
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module_files = [f for f in files if f.endswith('.py') and f != '__init__.py']
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# Calculate the module's base path from its directory structure
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path_diff = os.path.relpath(root, base_dir)
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if path_diff == '.':
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# Root of the base_dir, no additional path to add
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current_module_base = base_module_path
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else:
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# Convert directory path to a module path
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current_module_base = f"{base_module_path}.{path_diff.replace(os.sep, '.')}"
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# Dynamically import each module
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for file_name in module_files:
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module_name = file_name[:-3] # Remove the '.py' extension
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full_module_path = f"{current_module_base}.{module_name}"
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importlib.import_module(full_module_path)
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# IMPORTING ALL SCHEMAS
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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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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 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 = 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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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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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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