133 lines
3.7 KiB
Python
133 lines
3.7 KiB
Python
import logging
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import sys
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from logging.config import fileConfig
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from pathlib import Path
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from alembic import context
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from dotenv import load_dotenv
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from sqlalchemy import engine_from_config, pool, text
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from src.config import settings
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# Import your models
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from src.db import Base
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# Set up logging more verbosely
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logging.basicConfig()
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logging.getLogger("sqlalchemy.engine").setLevel(logging.INFO)
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logging.getLogger("alembic").setLevel(logging.DEBUG)
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# Add project root to Python path
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sys.path.append(str(Path(__file__).parents[1]))
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# Load environment variables
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load_dotenv(override=True)
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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, disable_existing_loggers=False)
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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 get_url() -> str:
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url = settings.DB.CONNECTION_URI
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if url is None:
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raise ValueError("DB_CONNECTION_URI not set")
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return url
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def run_migrations_offline() -> None:
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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 = get_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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dialect_opts={"paramstyle": "named"},
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version_table_schema=target_metadata.schema, # This sets schema for version table
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)
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with context.begin_transaction():
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context.execute(f"SET search_path TO {target_metadata.schema}")
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context.run_migrations()
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def run_migrations_online() -> None:
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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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configuration = config.get_section(config.config_ini_section)
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if configuration is None:
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configuration = {}
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url = get_url()
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configuration["sqlalchemy.url"] = url
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connectable = engine_from_config(
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configuration,
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prefix="sqlalchemy.",
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echo=False,
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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# Create schema and commit it outside the main migration transaction
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connection.execute(
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text(f"CREATE SCHEMA IF NOT EXISTS {target_metadata.schema};")
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)
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connection.execute(
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text(f"GRANT ALL ON SCHEMA {target_metadata.schema} TO current_user")
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)
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# Install pgvector extension if it doesn't exist
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connection.execute(text("CREATE EXTENSION IF NOT EXISTS vector"))
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# Set and verify search_path
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connection.execute(
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text(f"SET search_path TO {target_metadata.schema}, public, extensions")
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)
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connection.commit()
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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version_table_schema=target_metadata.schema,
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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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