mlflow--mlflow
wehub-resource-sync
79 行
2.5 KiB
Python
79 行
2.5 KiB
Python
from alembic import context
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from sqlalchemy import engine_from_config, pool
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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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# 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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from mlflow.store.db.base_sql_model import Base
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target_metadata = Base.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():
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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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# Try https://stackoverflow.com/questions/30378233/sqlite-lack-of-alter-support-alembic-migration-failing-because-of-this-solutio
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context.configure(
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url=url, target_metadata=target_metadata, literal_binds=True, render_as_batch=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 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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# If available, use a shared connection for the database upgrade, ensuring that any
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# connection-dependent state (e.g., the state of an in-memory database) is preserved
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# for reference by the upgrade routine. For more information, see
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# https://alembic.sqlalchemy.org/en/latest/cookbook.html#sharing-a-
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# connection-with-a-series-of-migration-commands-and-environments
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connection = config.attributes.get("connection")
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if connection is None:
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engine = 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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else:
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engine = connection.engine
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with engine.connect() as connection:
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context.configure(
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connection=connection, target_metadata=target_metadata, render_as_batch=True
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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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