|
| 1 | +from __future__ import with_statement |
| 2 | + |
| 3 | +from logging.config import fileConfig |
| 4 | + |
| 5 | +from sqlalchemy import engine_from_config, create_engine |
| 6 | +from sqlalchemy import pool |
| 7 | + |
| 8 | +from alembic import context |
| 9 | +from rdl.data_load_tracking.DataLoadExecution import Base |
| 10 | +from rdl.shared import Constants |
| 11 | + |
| 12 | +# this is the Alembic Config object, which provides |
| 13 | +# access to the values within the .ini file in use. |
| 14 | +config = context.config |
| 15 | + |
| 16 | +# Interpret the config file for Python logging. |
| 17 | +# This line sets up loggers basically. |
| 18 | +fileConfig(config.config_file_name) |
| 19 | + |
| 20 | +# add your model's MetaData object here |
| 21 | +# for 'autogenerate' support |
| 22 | +# from myapp import mymodel |
| 23 | +target_metadata = Base.metadata |
| 24 | + |
| 25 | +# other values from the config, defined by the needs of env.py, |
| 26 | +# can be acquired: |
| 27 | +# my_important_option = config.get_main_option("my_important_option") |
| 28 | +# ... etc. |
| 29 | + |
| 30 | +if not context.get_x_argument(): |
| 31 | + raise AttributeError( |
| 32 | + "example usage `alembic -c rdl/alembic.ini -x postgresql+psycopg2://postgres:postgres@localhost/postgres downgrade -1`") |
| 33 | + |
| 34 | +url = context.get_x_argument()[0] |
| 35 | + |
| 36 | + |
| 37 | +def use_schema(object, name, type_, reflected, compare_to): |
| 38 | + if type_ == 'table' and object.schema != Constants.DATA_PIPELINE_EXECUTION_SCHEMA_NAME: |
| 39 | + return False |
| 40 | + if (type_ == "column" and |
| 41 | + not reflected and |
| 42 | + object.info.get("skip_autogenerate", False)): |
| 43 | + return False |
| 44 | + if type_ == 'table' and name == 'alembic_version': |
| 45 | + return False |
| 46 | + return True |
| 47 | + |
| 48 | + |
| 49 | +def run_migrations_offline(): |
| 50 | + """Run migrations in 'offline' mode. |
| 51 | +
|
| 52 | + This configures the context with just a URL |
| 53 | + and not an Engine, though an Engine is acceptable |
| 54 | + here as well. By skipping the Engine creation |
| 55 | + we don't even need a DBAPI to be available. |
| 56 | +
|
| 57 | + Calls to context.execute() here emit the given string to the |
| 58 | + script output. |
| 59 | +
|
| 60 | + """ |
| 61 | + context.configure( |
| 62 | + url=url, target_metadata=target_metadata, literal_binds=True, include_schemas=True, |
| 63 | + include_object=use_schema, version_table=f'alembic_version_{Constants.DATA_PIPELINE_EXECUTION_SCHEMA_NAME}' |
| 64 | + ) |
| 65 | + |
| 66 | + with context.begin_transaction(): |
| 67 | + context.run_migrations() |
| 68 | + |
| 69 | + |
| 70 | +def run_migrations_online(): |
| 71 | + """Run migrations in 'online' mode. |
| 72 | +
|
| 73 | + In this scenario we need to create an Engine |
| 74 | + and associate a connection with the context. |
| 75 | +
|
| 76 | + """ |
| 77 | + connectable = create_engine( |
| 78 | + url, |
| 79 | + poolclass=pool.NullPool, |
| 80 | + ) |
| 81 | + |
| 82 | + with connectable.connect() as connection: |
| 83 | + context.configure( |
| 84 | + connection=connection, target_metadata=target_metadata, include_schemas=True, |
| 85 | + include_object=use_schema, version_table=f'alembic_version_{Constants.DATA_PIPELINE_EXECUTION_SCHEMA_NAME}' |
| 86 | + ) |
| 87 | + |
| 88 | + with context.begin_transaction(): |
| 89 | + context.run_migrations() |
| 90 | + |
| 91 | + |
| 92 | +if context.is_offline_mode(): |
| 93 | + run_migrations_offline() |
| 94 | +else: |
| 95 | + run_migrations_online() |
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