Skip to main content
Glama
johannhartmann

MCP Code Analysis Server

env.py2.73 kB
"""Alembic environment configuration.""" import sys from logging.config import fileConfig from pathlib import Path from alembic import context from sqlalchemy import engine_from_config, pool # Add project root to path sys.path.insert(0, str(Path(__file__).parents[3])) from src.config import get_database_url from src.database.models import Base # 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 target_metadata = Base.metadata def get_url() -> str: """Get database URL from settings.""" # get_database_url imported globally from src.config return get_database_url() 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_url() context.configure( url=url, target_metadata=target_metadata, literal_binds=True, dialect_opts={"paramstyle": "named"}, ) 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. """ section = config.get_section(config.config_ini_section) configuration: dict[str, str] = dict(section) if section is not None else {} configuration["sqlalchemy.url"] = get_url() connectable = engine_from_config( configuration, prefix="sqlalchemy.", poolclass=pool.NullPool, ) with connectable.connect() as connection: context.configure( connection=connection, target_metadata=target_metadata, compare_type=True, compare_server_default=True, ) with context.begin_transaction(): # Create custom SQL for pgvector extension and indexes if context.is_offline_mode(): context.execute("CREATE EXTENSION IF NOT EXISTS vector") else: connection.exec_driver_sql("CREATE EXTENSION IF NOT EXISTS vector") context.run_migrations() if context.is_offline_mode(): run_migrations_offline() else: run_migrations_online()

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/johannhartmann/mcpcodeanalysis'

If you have feedback or need assistance with the MCP directory API, please join our Discord server