dc56ff482a
1. Simplify the exposed api to reduce race conditions which could occur if we allowed flow details, task details and log books to be deleted at different times; reduce this down to just being able to save and delete from logbooks (and only save/update for flow and task details to) to reduce the problem cases. 2. Introduce a alembic migration with a proper schema so that the initial database can be created in the first place, adjust its exposed fields and relations to be defined by said schema. 3. Use oslo db models instead of our own. Change-Id: I78bbedf87d506d3f39157198638937c933235b7b
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
from __future__ import with_statement
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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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target_metadata = None
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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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context.configure(url=url)
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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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engine = engine_from_config(config.get_section(config.config_ini_section),
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prefix='sqlalchemy.',
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poolclass=pool.NullPool)
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connection = engine.connect()
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context.configure(connection=connection, target_metadata=target_metadata)
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try:
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with context.begin_transaction():
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context.run_migrations()
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finally:
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connection.close()
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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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