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env.py
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# Copyright (c) University College London Hospitals NHS Foundation Trust
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Alembic configuration"""
from logging.config import fileConfig
from decouple import Config, RepositoryEnv
from sqlalchemy import URL, create_engine
from alembic import context
env_config = Config(RepositoryEnv("migrations.env"))
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
from core.db import models
target_metadata = models.Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def include_name(name: str, type_: str, parent_names: str) -> bool: # noqa: ARG001
"""Filtering of allowed table names"""
if type_ == "schema":
return name in [target_metadata.schema]
return True
def get_pixl_db_url() -> URL:
"""Create PIXL database URL for connection."""
return URL.create(
drivername="postgresql+psycopg2",
host=env_config("PIXL_DB_HOST"),
port=env_config("PIXL_DB_PORT", int),
username=env_config("PIXL_DB_USER"),
password=env_config("PIXL_DB_PASSWORD"),
database=env_config("PIXL_DB_NAME"),
)
def run_migrations_offline() -> None:
"""
Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = get_pixl_db_url()
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
include_schemas=True,
include_name=include_name,
version_table_schema=target_metadata.schema,
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""
Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
url = get_pixl_db_url()
connectable = create_engine(url)
with connectable.connect() as connection:
context.configure(
connection=connection,
target_metadata=target_metadata,
include_schemas=True,
include_name=include_name,
version_table_schema=target_metadata.schema,
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()