pablodanswer 7906d9edc8
Add all-tenants migration for K8 job (#2846)
* add migration

* update migration logic for tenants

* k

* k

* k

* k
2024-10-18 02:55:05 +00:00

203 lines
6.4 KiB
Python

from sqlalchemy.engine.base import Connection
from typing import Any
import asyncio
from logging.config import fileConfig
import logging
from alembic import context
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy.sql import text
from danswer.configs.app_configs import MULTI_TENANT
from danswer.db.engine import build_connection_string
from danswer.db.models import Base
from celery.backends.database.session import ResultModelBase # type: ignore
from danswer.background.celery.celery_app import get_all_tenant_ids
# Alembic Config object
config = context.config
# Interpret the config file for Python logging.
if config.config_file_name is not None and config.attributes.get(
"configure_logger", True
):
fileConfig(config.config_file_name)
# Add your model's MetaData object here for 'autogenerate' support
target_metadata = [Base.metadata, ResultModelBase.metadata]
EXCLUDE_TABLES = {"kombu_queue", "kombu_message"}
# Set up logging
logger = logging.getLogger(__name__)
def include_object(
object: Any, name: str, type_: str, reflected: bool, compare_to: Any
) -> bool:
"""
Determines whether a database object should be included in migrations.
Excludes specified tables from migrations.
"""
if type_ == "table" and name in EXCLUDE_TABLES:
return False
return True
def get_schema_options() -> tuple[str, bool, bool]:
"""
Parses command-line options passed via '-x' in Alembic commands.
Recognizes 'schema', 'create_schema', and 'upgrade_all_tenants' options.
"""
x_args_raw = context.get_x_argument()
x_args = {}
for arg in x_args_raw:
for pair in arg.split(","):
if "=" in pair:
key, value = pair.split("=", 1)
x_args[key.strip()] = value.strip()
schema_name = x_args.get("schema", "public")
create_schema = x_args.get("create_schema", "true").lower() == "true"
upgrade_all_tenants = x_args.get("upgrade_all_tenants", "false").lower() == "true"
if MULTI_TENANT and schema_name == "public":
raise ValueError(
"Cannot run default migrations in public schema when multi-tenancy is enabled. "
"Please specify a tenant-specific schema."
)
return schema_name, create_schema, upgrade_all_tenants
def do_run_migrations(
connection: Connection, schema_name: str, create_schema: bool
) -> None:
"""
Executes migrations in the specified schema.
"""
logger.info(f"About to migrate schema: {schema_name}")
if create_schema:
connection.execute(text(f'CREATE SCHEMA IF NOT EXISTS "{schema_name}"'))
connection.execute(text("COMMIT"))
# Set search_path to the target schema
connection.execute(text(f'SET search_path TO "{schema_name}"'))
context.configure(
connection=connection,
target_metadata=target_metadata, # type: ignore
include_object=include_object,
version_table_schema=schema_name,
include_schemas=True,
compare_type=True,
compare_server_default=True,
script_location=config.get_main_option("script_location"),
)
with context.begin_transaction():
context.run_migrations()
async def run_async_migrations() -> None:
"""
Determines whether to run migrations for a single schema or all schemas,
and executes migrations accordingly.
"""
schema_name, create_schema, upgrade_all_tenants = get_schema_options()
engine = create_async_engine(
build_connection_string(),
poolclass=pool.NullPool,
)
if upgrade_all_tenants:
# Run migrations for all tenant schemas sequentially
tenant_schemas = get_all_tenant_ids()
for schema in tenant_schemas:
try:
logger.info(f"Migrating schema: {schema}")
async with engine.connect() as connection:
await connection.run_sync(
do_run_migrations,
schema_name=schema,
create_schema=create_schema,
)
except Exception as e:
logger.error(f"Error migrating schema {schema}: {e}")
raise
else:
try:
logger.info(f"Migrating schema: {schema_name}")
async with engine.connect() as connection:
await connection.run_sync(
do_run_migrations,
schema_name=schema_name,
create_schema=create_schema,
)
except Exception as e:
logger.error(f"Error migrating schema {schema_name}: {e}")
raise
await engine.dispose()
def run_migrations_offline() -> None:
"""
Run migrations in 'offline' mode.
"""
schema_name, _, upgrade_all_tenants = get_schema_options()
url = build_connection_string()
if upgrade_all_tenants:
# Run offline migrations for all tenant schemas
engine = create_async_engine(url)
tenant_schemas = get_all_tenant_ids()
engine.sync_engine.dispose()
for schema in tenant_schemas:
logger.info(f"Migrating schema: {schema}")
context.configure(
url=url,
target_metadata=target_metadata, # type: ignore
literal_binds=True,
include_object=include_object,
version_table_schema=schema,
include_schemas=True,
script_location=config.get_main_option("script_location"),
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
else:
logger.info(f"Migrating schema: {schema_name}")
context.configure(
url=url,
target_metadata=target_metadata, # type: ignore
literal_binds=True,
include_object=include_object,
version_table_schema=schema_name,
include_schemas=True,
script_location=config.get_main_option("script_location"),
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""
Runs migrations in 'online' mode using an asynchronous engine.
"""
asyncio.run(run_async_migrations())
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()