Files
LangBot/pkg/persistence/mgr.py
2025-09-13 17:59:10 +08:00

143 lines
5.3 KiB
Python

from __future__ import annotations
import datetime
import typing
import json
import uuid
import sqlalchemy.ext.asyncio as sqlalchemy_asyncio
import sqlalchemy
from . import database, migration
from ..entity.persistence import base, pipeline, metadata
from ..entity import persistence
from ..core import app
from ..utils import constants, importutil
from ..api.http.service import pipeline as pipeline_service
from . import databases, migrations
importutil.import_modules_in_pkg(databases)
importutil.import_modules_in_pkg(migrations)
importutil.import_modules_in_pkg(persistence)
class PersistenceManager:
"""Persistence module manager"""
ap: app.Application
db: database.BaseDatabaseManager
"""Database manager"""
meta: sqlalchemy.MetaData
def __init__(self, ap: app.Application):
self.ap = ap
self.meta = base.Base.metadata
async def initialize(self):
database_type = self.ap.instance_config.data.get('database', {}).get('use', 'sqlite')
self.ap.logger.info(f'Initializing database type: {database_type}...')
for manager in database.preregistered_managers:
if manager.name == database_type:
self.db = manager(self.ap)
await self.db.initialize()
break
await self.create_tables()
# run migrations
database_version = await self.execute_async(
sqlalchemy.select(metadata.Metadata).where(metadata.Metadata.key == 'database_version')
)
database_version = int(database_version.fetchone()[1])
required_database_version = constants.required_database_version
if database_version < required_database_version:
migrations = migration.preregistered_db_migrations
migrations.sort(key=lambda x: x.number)
last_migration_number = database_version
for migration_cls in migrations:
migration_instance = migration_cls(self.ap)
if (
migration_instance.number > database_version
and migration_instance.number <= required_database_version
):
await migration_instance.upgrade()
await self.execute_async(
sqlalchemy.update(metadata.Metadata)
.where(metadata.Metadata.key == 'database_version')
.values({'value': str(migration_instance.number)})
)
last_migration_number = migration_instance.number
self.ap.logger.info(f'Migration {migration_instance.number} completed.')
self.ap.logger.info(f'Successfully upgraded database to version {last_migration_number}.')
async def create_tables(self):
# create tables
async with self.get_db_engine().connect() as conn:
await conn.run_sync(self.meta.create_all)
await conn.commit()
# ======= write initial data =======
# write initial metadata
self.ap.logger.info('Creating initial metadata...')
for item in metadata.initial_metadata:
# check if the item exists
result = await self.execute_async(
sqlalchemy.select(metadata.Metadata).where(metadata.Metadata.key == item['key'])
)
row = result.first()
if row is None:
await self.execute_async(sqlalchemy.insert(metadata.Metadata).values(item))
# write default pipeline
result = await self.execute_async(sqlalchemy.select(pipeline.LegacyPipeline))
default_pipeline_uuid = None
if result.first() is None:
self.ap.logger.info('Creating default pipeline...')
pipeline_config = json.load(open('templates/default-pipeline-config.json', 'r', encoding='utf-8'))
default_pipeline_uuid = str(uuid.uuid4())
pipeline_data = {
'uuid': default_pipeline_uuid,
'for_version': self.ap.ver_mgr.get_current_version(),
'stages': pipeline_service.default_stage_order,
'is_default': True,
'name': 'ChatPipeline',
'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线,您配置的机器人将自动绑定到此流水线',
'config': pipeline_config,
}
await self.execute_async(sqlalchemy.insert(pipeline.LegacyPipeline).values(pipeline_data))
# =================================
async def execute_async(self, *args, **kwargs) -> sqlalchemy.engine.cursor.CursorResult:
async with self.get_db_engine().connect() as conn:
result = await conn.execute(*args, **kwargs)
await conn.commit()
return result
def get_db_engine(self) -> sqlalchemy_asyncio.AsyncEngine:
return self.db.get_engine()
def serialize_model(
self, model: typing.Type[sqlalchemy.Base], data: sqlalchemy.Base, masked_columns: list[str] = []
) -> dict:
return {
column.name: getattr(data, column.name)
if not isinstance(getattr(data, column.name), (datetime.datetime))
else getattr(data, column.name).isoformat()
for column in model.__table__.columns
if column.name not in masked_columns
}