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https://github.com/danswer-ai/danswer.git
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* add proper tenant context to background tasks * update for new session logic * remove unnecessary functions * add additional tenant context * update ports * proper format / directory structure * update ports * ensure tenant context properly passed to ee bg tasks * add user provisioning * nit * validated for multi tenant * auth * nit * nit * nit * nit * validate pruning * evaluate integration tests * at long last, validated celery beat * nit: minor edge case patched * minor * validate update * nit
134 lines
3.9 KiB
Python
134 lines
3.9 KiB
Python
from typing import Any
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import asyncio
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy import pool
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import create_async_engine
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from sqlalchemy.sql import text
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from danswer.configs.app_configs import MULTI_TENANT
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from danswer.db.engine import build_connection_string
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from danswer.db.models import Base
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from celery.backends.database.session import ResultModelBase # type: ignore
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# Alembic Config object
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config = context.config
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# Interpret the config file for Python logging.
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if config.config_file_name is not None and config.attributes.get(
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"configure_logger", True
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):
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fileConfig(config.config_file_name)
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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, ResultModelBase.metadata]
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def get_schema_options() -> tuple[str, bool]:
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x_args_raw = context.get_x_argument()
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x_args = {}
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for arg in x_args_raw:
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for pair in arg.split(","):
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if "=" in pair:
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key, value = pair.split("=", 1)
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x_args[key.strip()] = value.strip()
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schema_name = x_args.get("schema", "public")
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create_schema = x_args.get("create_schema", "true").lower() == "true"
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return schema_name, create_schema
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EXCLUDE_TABLES = {"kombu_queue", "kombu_message"}
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def include_object(
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object: Any, name: str, type_: str, reflected: bool, compare_to: Any
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) -> bool:
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if type_ == "table" and name in EXCLUDE_TABLES:
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return False
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return True
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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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schema_name, _ = get_schema_options()
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url = build_connection_string()
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context.configure(
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url=url,
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target_metadata=target_metadata, # type: ignore
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literal_binds=True,
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include_object=include_object,
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version_table_schema=schema_name,
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include_schemas=True,
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script_location=config.get_main_option("script_location"),
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dialect_opts={"paramstyle": "named"},
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)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(connection: Connection) -> None:
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schema_name, create_schema = get_schema_options()
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if MULTI_TENANT and schema_name == "public":
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raise ValueError(
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"Cannot run default migrations in public schema when multi-tenancy is enabled. "
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"Please specify a tenant-specific schema."
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)
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if create_schema:
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connection.execute(text(f'CREATE SCHEMA IF NOT EXISTS "{schema_name}"'))
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connection.execute(text("COMMIT"))
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# Set search_path to the target schema
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connection.execute(text(f'SET search_path TO "{schema_name}"'))
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context.configure(
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connection=connection,
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target_metadata=target_metadata, # type: ignore
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include_object=include_object,
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version_table_schema=schema_name,
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include_schemas=True,
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compare_type=True,
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compare_server_default=True,
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script_location=config.get_main_option("script_location"),
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)
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with context.begin_transaction():
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context.run_migrations()
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async def run_async_migrations() -> None:
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connectable = create_async_engine(
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build_connection_string(),
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poolclass=pool.NullPool,
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)
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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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def run_migrations_online() -> None:
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asyncio.run(run_async_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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