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https://github.com/langbot-app/LangBot.git
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* feat: add one-click app creation for Feishu with QR code support * feat: implement WeChat QR code login functionality and update related configurations * feat: add qrcode dependency for QR code generation support * feat: enhance QR code login UI and add internationalization support for new labels * feat: new ui back * feat: add DingTalk one-click app creation and QR code login support * feat: add WeComBot one-click creation support and enhance QR code login functionality * feat: Update the robot creation function and bind the most recently updated pipeline
200 lines
7.5 KiB
Python
200 lines
7.5 KiB
Python
from __future__ import annotations
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import uuid
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import sqlalchemy
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import typing
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from ....core import app
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from ....entity.persistence import bot as persistence_bot
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from ....entity.persistence import pipeline as persistence_pipeline
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class BotService:
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"""Bot service"""
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ap: app.Application
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def __init__(self, ap: app.Application) -> None:
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self.ap = ap
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async def get_bots(self, include_secret: bool = True) -> list[dict]:
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"""获取所有机器人"""
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result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_bot.Bot))
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bots = result.all()
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masked_columns = []
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if not include_secret:
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masked_columns = ['adapter_config']
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return [self.ap.persistence_mgr.serialize_model(persistence_bot.Bot, bot, masked_columns) for bot in bots]
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async def get_bot(self, bot_uuid: str, include_secret: bool = True) -> dict | None:
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"""获取机器人"""
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result = await self.ap.persistence_mgr.execute_async(
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sqlalchemy.select(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_uuid)
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)
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bot = result.first()
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if bot is None:
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return None
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masked_columns = []
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if not include_secret:
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masked_columns = ['adapter_config']
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return self.ap.persistence_mgr.serialize_model(persistence_bot.Bot, bot, masked_columns)
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async def get_runtime_bot_info(self, bot_uuid: str, include_secret: bool = True) -> dict:
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"""获取机器人运行时信息"""
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persistence_bot = await self.get_bot(bot_uuid, include_secret)
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if persistence_bot is None:
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raise Exception('Bot not found')
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adapter_runtime_values = {}
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runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
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if runtime_bot is not None:
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adapter_runtime_values['bot_account_id'] = runtime_bot.adapter.bot_account_id
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# Webhook URL for unified webhook adapters (independent of bot running state)
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if persistence_bot['adapter'] in [
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'wecom',
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'wecombot',
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'officialaccount',
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'qqofficial',
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'slack',
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'wecomcs',
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'LINE',
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'lark',
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]:
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webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
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extra_webhook_prefix = self.ap.instance_config.data['api'].get('extra_webhook_prefix', '')
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webhook_url = f'/bots/{bot_uuid}'
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adapter_runtime_values['webhook_url'] = webhook_url
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adapter_runtime_values['webhook_full_url'] = f'{webhook_prefix}{webhook_url}'
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adapter_runtime_values['extra_webhook_full_url'] = (
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f'{extra_webhook_prefix}{webhook_url}' if extra_webhook_prefix else ''
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)
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else:
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adapter_runtime_values['webhook_url'] = None
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adapter_runtime_values['webhook_full_url'] = None
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adapter_runtime_values['extra_webhook_full_url'] = None
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persistence_bot['adapter_runtime_values'] = adapter_runtime_values
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return persistence_bot
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async def create_bot(self, bot_data: dict) -> str:
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"""Create bot"""
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# Check limitation
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limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
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max_bots = limitation.get('max_bots', -1)
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if max_bots >= 0:
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existing_bots = await self.get_bots()
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if len(existing_bots) >= max_bots:
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raise ValueError(f'Maximum number of bots ({max_bots}) reached')
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# TODO: 检查配置信息格式
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bot_data['uuid'] = str(uuid.uuid4())
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# bind the most recently updated pipeline if any exist
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result = await self.ap.persistence_mgr.execute_async(
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sqlalchemy.select(persistence_pipeline.LegacyPipeline)
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.order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
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.limit(1)
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)
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pipeline = result.first()
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if pipeline is not None:
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bot_data['use_pipeline_uuid'] = pipeline.uuid
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bot_data['use_pipeline_name'] = pipeline.name
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await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_bot.Bot).values(bot_data))
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bot = await self.get_bot(bot_data['uuid'])
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await self.ap.platform_mgr.load_bot(bot)
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return bot_data['uuid']
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async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
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"""Update bot"""
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if 'uuid' in bot_data:
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del bot_data['uuid']
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# set use_pipeline_name
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if 'use_pipeline_uuid' in bot_data:
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result = await self.ap.persistence_mgr.execute_async(
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sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
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persistence_pipeline.LegacyPipeline.uuid == bot_data['use_pipeline_uuid']
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)
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)
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pipeline = result.first()
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if pipeline is not None:
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bot_data['use_pipeline_name'] = pipeline.name
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else:
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raise Exception('Pipeline not found')
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await self.ap.persistence_mgr.execute_async(
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sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid)
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)
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await self.ap.platform_mgr.remove_bot(bot_uuid)
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# select from db
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bot = await self.get_bot(bot_uuid)
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runtime_bot = await self.ap.platform_mgr.load_bot(bot)
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if runtime_bot.enable:
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await runtime_bot.run()
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# update all conversation that use this bot
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for session in self.ap.sess_mgr.session_list:
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if session.using_conversation is not None and session.using_conversation.bot_uuid == bot_uuid:
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session.using_conversation = None
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async def delete_bot(self, bot_uuid: str) -> None:
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"""Delete bot"""
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await self.ap.platform_mgr.remove_bot(bot_uuid)
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await self.ap.persistence_mgr.execute_async(
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sqlalchemy.delete(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_uuid)
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)
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async def list_event_logs(
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self, bot_uuid: str, from_index: int, max_count: int
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) -> typing.Tuple[list[dict], int, int, int]:
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runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
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if runtime_bot is None:
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raise Exception('Bot not found')
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logs, total_count = await runtime_bot.logger.get_logs(from_index, max_count)
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return [log.to_json() for log in logs], total_count
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async def send_message(self, bot_uuid: str, target_type: str, target_id: str, message_chain_data: dict) -> None:
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"""Send message to a specific target via bot
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Args:
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bot_uuid: The UUID of the bot
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target_type: The type of the target, can be "group", "person"
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target_id: The ID of the target
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message_chain_data: The message chain data in dict format
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"""
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# Import here to avoid circular imports
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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# Get runtime bot
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runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
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if runtime_bot is None:
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raise Exception(f'Bot not found: {bot_uuid}')
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# Validate and convert message chain
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try:
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message_chain = platform_message.MessageChain.model_validate(message_chain_data)
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except Exception as e:
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raise Exception(f'Invalid message_chain format: {str(e)}')
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# Send message via adapter
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await runtime_bot.adapter.send_message(target_type, str(target_id), message_chain)
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