mirror of https://gitee.com/anolis/sysom.git
116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
import inspect
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import app.models as models
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from logging.config import fileConfig
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from sqlalchemy import engine_from_config, Table
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from sqlalchemy import pool
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from app.models import Base
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from alembic import context
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from conf.settings import YAML_CONFIG, SQLALCHEMY_DATABASE_URL
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##################################################################
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# Load yaml config first
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##################################################################
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mysql_config = YAML_CONFIG.get_server_config().db.mysql
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##################################################################
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# Scan models
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##################################################################
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service_tables = []
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for name, data in inspect.getmembers(models):
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if inspect.isclass(data):
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if data.__module__ != "app.models":
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continue
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if "__tablename__" in data.__dict__:
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service_tables.append(data.__dict__["__tablename__"])
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elif "__table__" in data.__dict__:
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service_tables.append(data.__dict__["__table__"])
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elif isinstance(data, Table):
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service_tables.append(name)
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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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# Update mysql config according config.yml
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config.set_main_option(
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"sqlalchemy.url",
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SQLALCHEMY_DATABASE_URL
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)
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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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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 include_object(object, name, type_, reflected, compare_to):
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if type_ == "table" and name not in service_tables:
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return False
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return True
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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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include_object=include_object,
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version_table="dingtalk_version",
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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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context.configure(
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connection=connection, target_metadata=target_metadata,
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include_object=include_object,
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version_table="dingtalk_version"
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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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