84 lines
2.0 KiB
Python
84 lines
2.0 KiB
Python
import os
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import sys
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from logging.config import fileConfig
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from sqlalchemy import create_engine
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from sqlalchemy.orm import declarative_base
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from alembic import context
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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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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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path = os.path.dirname(os.path.dirname(__file__))
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sys.path.insert(0, path)
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sys.path.insert(0, os.path.join(path, "app"))
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from app.models 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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url = os.environ.get('URMA_DB')
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print()
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print(f"Alembic: {url=}")
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print()
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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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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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)
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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 = create_engine(url)
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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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)
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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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