mirror of
https://github.com/langbot-app/LangBot.git
synced 2025-11-25 19:37:36 +08:00
810 lines
34 KiB
Python
810 lines
34 KiB
Python
from __future__ import annotations
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import lark_oapi
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from lark_oapi.api.im.v1 import CreateImageRequest, CreateImageRequestBody
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import traceback
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import typing
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import asyncio
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import re
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import base64
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import uuid
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import json
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import datetime
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import hashlib
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from Crypto.Cipher import AES
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import aiohttp
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import lark_oapi.ws.exception
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import quart
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from lark_oapi.api.im.v1 import *
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import pydantic
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from lark_oapi.api.cardkit.v1 import *
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import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
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import langbot_plugin.api.entities.builtin.platform.message as platform_message
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import langbot_plugin.api.entities.builtin.platform.events as platform_events
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import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
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import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
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class AESCipher(object):
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def __init__(self, key):
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self.bs = AES.block_size
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self.key = hashlib.sha256(AESCipher.str_to_bytes(key)).digest()
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@staticmethod
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def str_to_bytes(data):
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u_type = type(b''.decode('utf8'))
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if isinstance(data, u_type):
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return data.encode('utf8')
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return data
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@staticmethod
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def _unpad(s):
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return s[: -ord(s[len(s) - 1 :])]
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def decrypt(self, enc):
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iv = enc[: AES.block_size]
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cipher = AES.new(self.key, AES.MODE_CBC, iv)
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return self._unpad(cipher.decrypt(enc[AES.block_size :]))
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def decrypt_string(self, enc):
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enc = base64.b64decode(enc)
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return self.decrypt(enc).decode('utf8')
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class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
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@staticmethod
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async def yiri2target(
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message_chain: platform_message.MessageChain, api_client: lark_oapi.Client
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) -> typing.Tuple[list]:
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message_elements = []
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pending_paragraph = []
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for msg in message_chain:
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if isinstance(msg, platform_message.Plain):
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# Ensure text is valid UTF-8
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try:
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text = msg.text.encode('utf-8').decode('utf-8')
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pending_paragraph.append({'tag': 'md', 'text': text})
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except UnicodeError:
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# If text is not valid UTF-8, try to decode with other encodings
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try:
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text = msg.text.encode('latin1').decode('utf-8')
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pending_paragraph.append({'tag': 'md', 'text': text})
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except UnicodeError:
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# If still fails, replace invalid characters
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text = msg.text.encode('utf-8', errors='replace').decode('utf-8')
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pending_paragraph.append({'tag': 'md', 'text': text})
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elif isinstance(msg, platform_message.At):
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pending_paragraph.append({'tag': 'at', 'user_id': msg.target, 'style': []})
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elif isinstance(msg, platform_message.AtAll):
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pending_paragraph.append({'tag': 'at', 'user_id': 'all', 'style': []})
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elif isinstance(msg, platform_message.Image):
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image_bytes = None
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if msg.base64:
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try:
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# Remove data URL prefix if present
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if msg.base64.startswith('data:'):
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msg.base64 = msg.base64.split(',', 1)[1]
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image_bytes = base64.b64decode(msg.base64)
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except Exception:
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traceback.print_exc()
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continue
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elif msg.url:
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(msg.url) as response:
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if response.status == 200:
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image_bytes = await response.read()
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else:
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traceback.print_exc()
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continue
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except Exception:
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traceback.print_exc()
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continue
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elif msg.path:
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try:
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with open(msg.path, 'rb') as f:
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image_bytes = f.read()
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except Exception:
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traceback.print_exc()
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continue
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if image_bytes is None:
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continue
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try:
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# Create a temporary file to store the image bytes
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import tempfile
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with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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temp_file.write(image_bytes)
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temp_file.flush()
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# Create image request using the temporary file
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request = (
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CreateImageRequest.builder()
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.request_body(
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CreateImageRequestBody.builder()
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.image_type('message')
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.image(open(temp_file.name, 'rb'))
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.build()
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)
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.build()
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)
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response = await api_client.im.v1.image.acreate(request)
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if not response.success():
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raise Exception(
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f'client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
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)
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image_key = response.data.image_key
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message_elements.append(pending_paragraph)
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message_elements.append(
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[
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{
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'tag': 'img',
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'image_key': image_key,
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}
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]
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)
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pending_paragraph = []
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except Exception:
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traceback.print_exc()
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continue
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finally:
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# Clean up the temporary file
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import os
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if 'temp_file' in locals():
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os.unlink(temp_file.name)
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elif isinstance(msg, platform_message.Forward):
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for node in msg.node_list:
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message_elements.extend(await LarkMessageConverter.yiri2target(node.message_chain, api_client))
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if pending_paragraph:
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message_elements.append(pending_paragraph)
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return message_elements
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@staticmethod
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async def target2yiri(
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message: lark_oapi.api.im.v1.model.event_message.EventMessage,
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api_client: lark_oapi.Client,
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) -> platform_message.MessageChain:
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message_content = json.loads(message.content)
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lb_msg_list = []
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msg_create_time = datetime.datetime.fromtimestamp(int(message.create_time) / 1000)
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lb_msg_list.append(platform_message.Source(id=message.message_id, time=msg_create_time))
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if message.message_type == 'text':
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element_list = []
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def text_element_recur(text_ele: dict) -> list[dict]:
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if text_ele['text'] == '':
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return []
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at_pattern = re.compile(r'@_user_[\d]+')
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at_matches = at_pattern.findall(text_ele['text'])
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name_mapping = {}
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for mathc in at_matches:
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for mention in message.mentions:
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if mention.key == mathc:
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name_mapping[mathc] = mention.name
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break
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if len(name_mapping.keys()) == 0:
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return [text_ele]
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# 只处理第一个，剩下的递归处理
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text_split = text_ele['text'].split(list(name_mapping.keys())[0])
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new_list = []
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left_text = text_split[0]
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right_text = text_split[1]
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new_list.extend(text_element_recur({'tag': 'text', 'text': left_text, 'style': []}))
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new_list.append(
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{
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'tag': 'at',
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'user_id': list(name_mapping.keys())[0],
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'user_name': name_mapping[list(name_mapping.keys())[0]],
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'style': [],
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}
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)
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new_list.extend(text_element_recur({'tag': 'text', 'text': right_text, 'style': []}))
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return new_list
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element_list = text_element_recur({'tag': 'text', 'text': message_content['text'], 'style': []})
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message_content = {'title': '', 'content': element_list}
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elif message.message_type == 'post':
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new_list = []
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for ele in message_content['content']:
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if type(ele) is dict:
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new_list.append(ele)
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elif type(ele) is list:
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new_list.extend(ele)
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message_content['content'] = new_list
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elif message.message_type == 'image':
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message_content['content'] = [{'tag': 'img', 'image_key': message_content['image_key'], 'style': []}]
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for ele in message_content['content']:
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if ele['tag'] == 'text':
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lb_msg_list.append(platform_message.Plain(text=ele['text']))
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elif ele['tag'] == 'at':
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lb_msg_list.append(platform_message.At(target=ele['user_name']))
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elif ele['tag'] == 'img':
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image_key = ele['image_key']
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request: GetMessageResourceRequest = (
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GetMessageResourceRequest.builder()
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.message_id(message.message_id)
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.file_key(image_key)
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.type('image')
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.build()
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)
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response: GetMessageResourceResponse = await api_client.im.v1.message_resource.aget(request)
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if not response.success():
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raise Exception(
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f'client.im.v1.message_resource.get failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
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)
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image_bytes = response.file.read()
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image_base64 = base64.b64encode(image_bytes).decode()
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image_format = response.raw.headers['content-type']
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lb_msg_list.append(platform_message.Image(base64=f'data:{image_format};base64,{image_base64}'))
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return platform_message.MessageChain(lb_msg_list)
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class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
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@staticmethod
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async def yiri2target(
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event: platform_events.MessageEvent,
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) -> lark_oapi.im.v1.P2ImMessageReceiveV1:
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pass
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@staticmethod
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async def target2yiri(
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event: lark_oapi.im.v1.P2ImMessageReceiveV1, api_client: lark_oapi.Client
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) -> platform_events.Event:
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message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
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if event.event.message.chat_type == 'p2p':
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return platform_events.FriendMessage(
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sender=platform_entities.Friend(
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id=event.event.sender.sender_id.open_id,
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nickname=event.event.sender.sender_id.union_id,
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remark='',
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),
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message_chain=message_chain,
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time=event.event.message.create_time,
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)
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elif event.event.message.chat_type == 'group':
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return platform_events.GroupMessage(
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sender=platform_entities.GroupMember(
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id=event.event.sender.sender_id.open_id,
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member_name=event.event.sender.sender_id.union_id,
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permission=platform_entities.Permission.Member,
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group=platform_entities.Group(
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id=event.event.message.chat_id,
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name='',
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permission=platform_entities.Permission.Member,
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),
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special_title='',
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join_timestamp=0,
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last_speak_timestamp=0,
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mute_time_remaining=0,
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),
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message_chain=message_chain,
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time=event.event.message.create_time,
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)
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CARD_ID_CACHE_SIZE = 500
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CARD_ID_CACHE_MAX_LIFETIME = 20 * 60 # 20分钟
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class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
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bot: lark_oapi.ws.Client = pydantic.Field(exclude=True)
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api_client: lark_oapi.Client = pydantic.Field(exclude=True)
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bot_account_id: str # 用于在流水线中识别at是否是本bot，直接以bot_name作为标识
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lark_tenant_key: str = pydantic.Field(exclude=True, default='') # 飞书企业key
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message_converter: LarkMessageConverter = LarkMessageConverter()
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event_converter: LarkEventConverter = LarkEventConverter()
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listeners: typing.Dict[
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typing.Type[platform_events.Event],
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typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
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]
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quart_app: quart.Quart = pydantic.Field(exclude=True)
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card_id_dict: dict[str, str] # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
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seq: int # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
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def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
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quart_app = quart.Quart(__name__)
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@quart_app.route('/lark/callback', methods=['POST'])
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async def lark_callback():
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try:
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data = await quart.request.json
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if 'encrypt' in data:
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cipher = AESCipher(config['encrypt-key'])
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data = cipher.decrypt_string(data['encrypt'])
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data = json.loads(data)
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type = data.get('type')
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if type is None:
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context = EventContext(data)
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type = context.header.event_type
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if 'url_verification' == type:
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# todo 验证verification token
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return {'challenge': data.get('challenge')}
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context = EventContext(data)
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type = context.header.event_type
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p2v1 = P2ImMessageReceiveV1()
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p2v1.header = context.header
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event = P2ImMessageReceiveV1Data()
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event.message = EventMessage(context.event['message'])
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event.sender = EventSender(context.event['sender'])
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p2v1.event = event
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p2v1.schema = context.schema
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if 'im.message.receive_v1' == type:
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try:
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event = await self.event_converter.target2yiri(p2v1, self.api_client)
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except Exception:
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await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
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if event.__class__ in self.listeners:
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await self.listeners[event.__class__](event, self)
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return {'code': 200, 'message': 'ok'}
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except Exception:
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await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
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return {'code': 500, 'message': 'error'}
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async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
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lb_event = await self.event_converter.target2yiri(event, self.api_client)
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await self.listeners[type(lb_event)](lb_event, self)
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def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
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asyncio.create_task(on_message(event))
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event_handler = (
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lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
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)
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bot_account_id = config['bot_name']
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bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler)
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api_client = lark_oapi.Client.builder().app_id(config['app_id']).app_secret(config['app_secret']).build()
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super().__init__(
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config=config,
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logger=logger,
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lark_tenant_key=config.get('lark_tenant_key', ''),
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card_id_dict={},
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seq=1,
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listeners={},
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quart_app=quart_app,
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bot=bot,
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api_client=api_client,
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bot_account_id=bot_account_id,
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**kwargs,
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)
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async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
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pass
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async def is_stream_output_supported(self) -> bool:
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is_stream = False
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if self.config.get('enable-stream-reply', None):
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is_stream = True
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return is_stream
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async def create_card_id(self, message_id):
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try:
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# self.logger.debug('飞书支持stream输出,创建卡片......')
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card_data = {
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'schema': '2.0',
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'config': {
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'update_multi': True,
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'streaming_mode': True,
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'streaming_config': {
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'print_step': {'default': 1},
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'print_frequency_ms': {'default': 70},
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'print_strategy': 'fast',
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},
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},
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'body': {
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'direction': 'vertical',
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'padding': '12px 12px 12px 12px',
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'elements': [
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{
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'tag': 'div',
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'text': {
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'tag': 'plain_text',
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'content': 'LangBot',
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'text_size': 'normal',
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'text_align': 'left',
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'text_color': 'default',
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},
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'icon': {
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'tag': 'custom_icon',
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'img_key': 'img_v3_02p3_05c65d5d-9bad-440a-a2fb-c89571bfd5bg',
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},
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},
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{
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'tag': 'markdown',
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'content': '',
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'text_align': 'left',
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'text_size': 'normal',
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'margin': '0px 0px 0px 0px',
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'element_id': 'streaming_txt',
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},
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{
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'tag': 'markdown',
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'content': '',
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'text_align': 'left',
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'text_size': 'normal',
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'margin': '0px 0px 0px 0px',
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},
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{
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'tag': 'column_set',
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'horizontal_spacing': '8px',
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'horizontal_align': 'left',
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'columns': [
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{
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'tag': 'column',
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'width': 'weighted',
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'elements': [
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{
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'tag': 'markdown',
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'content': '',
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'text_align': 'left',
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'text_size': 'normal',
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'margin': '0px 0px 0px 0px',
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},
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{
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'tag': 'markdown',
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'content': '',
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'text_align': 'left',
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||
'text_size': 'normal',
|
||
'margin': '0px 0px 0px 0px',
|
||
},
|
||
{
|
||
'tag': 'markdown',
|
||
'content': '',
|
||
'text_align': 'left',
|
||
'text_size': 'normal',
|
||
'margin': '0px 0px 0px 0px',
|
||
},
|
||
],
|
||
'padding': '0px 0px 0px 0px',
|
||
'direction': 'vertical',
|
||
'horizontal_spacing': '8px',
|
||
'vertical_spacing': '2px',
|
||
'horizontal_align': 'left',
|
||
'vertical_align': 'top',
|
||
'margin': '0px 0px 0px 0px',
|
||
'weight': 1,
|
||
}
|
||
],
|
||
'margin': '0px 0px 0px 0px',
|
||
},
|
||
{'tag': 'hr', 'margin': '0px 0px 0px 0px'},
|
||
{
|
||
'tag': 'column_set',
|
||
'horizontal_spacing': '12px',
|
||
'horizontal_align': 'right',
|
||
'columns': [
|
||
{
|
||
'tag': 'column',
|
||
'width': 'weighted',
|
||
'elements': [
|
||
{
|
||
'tag': 'markdown',
|
||
'content': '<font color="grey-600">以上内容由 AI 生成，仅供参考。更多详细、准确信息可点击引用链接查看</font>',
|
||
'text_align': 'left',
|
||
'text_size': 'notation',
|
||
'margin': '4px 0px 0px 0px',
|
||
'icon': {
|
||
'tag': 'standard_icon',
|
||
'token': 'robot_outlined',
|
||
'color': 'grey',
|
||
},
|
||
}
|
||
],
|
||
'padding': '0px 0px 0px 0px',
|
||
'direction': 'vertical',
|
||
'horizontal_spacing': '8px',
|
||
'vertical_spacing': '8px',
|
||
'horizontal_align': 'left',
|
||
'vertical_align': 'top',
|
||
'margin': '0px 0px 0px 0px',
|
||
'weight': 1,
|
||
},
|
||
{
|
||
'tag': 'column',
|
||
'width': '20px',
|
||
'elements': [
|
||
{
|
||
'tag': 'button',
|
||
'text': {'tag': 'plain_text', 'content': ''},
|
||
'type': 'text',
|
||
'width': 'fill',
|
||
'size': 'medium',
|
||
'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
|
||
'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
|
||
'margin': '0px 0px 0px 0px',
|
||
}
|
||
],
|
||
'padding': '0px 0px 0px 0px',
|
||
'direction': 'vertical',
|
||
'horizontal_spacing': '8px',
|
||
'vertical_spacing': '8px',
|
||
'horizontal_align': 'left',
|
||
'vertical_align': 'top',
|
||
'margin': '0px 0px 0px 0px',
|
||
},
|
||
{
|
||
'tag': 'column',
|
||
'width': '30px',
|
||
'elements': [
|
||
{
|
||
'tag': 'button',
|
||
'text': {'tag': 'plain_text', 'content': ''},
|
||
'type': 'text',
|
||
'width': 'default',
|
||
'size': 'medium',
|
||
'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
|
||
'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
|
||
'margin': '0px 0px 0px 0px',
|
||
}
|
||
],
|
||
'padding': '0px 0px 0px 0px',
|
||
'vertical_spacing': '8px',
|
||
'horizontal_align': 'left',
|
||
'vertical_align': 'top',
|
||
'margin': '0px 0px 0px 0px',
|
||
},
|
||
],
|
||
'margin': '0px 0px 4px 0px',
|
||
},
|
||
],
|
||
},
|
||
}
|
||
# delay / fast 创建卡片模板，delay 延迟打印，fast 实时打印，可以自定义更好看的消息模板
|
||
|
||
request: CreateCardRequest = (
|
||
CreateCardRequest.builder()
|
||
.request_body(CreateCardRequestBody.builder().type('card_json').data(json.dumps(card_data)).build())
|
||
.build()
|
||
)
|
||
|
||
# 发起请求
|
||
response: CreateCardResponse = self.api_client.cardkit.v1.card.create(request)
|
||
|
||
# 处理失败返回
|
||
if not response.success():
|
||
raise Exception(
|
||
f'client.cardkit.v1.card.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||
)
|
||
|
||
self.card_id_dict[message_id] = response.data.card_id
|
||
|
||
card_id = response.data.card_id
|
||
return card_id
|
||
|
||
except Exception as e:
|
||
raise e
|
||
async def create_message_card(self, message_id, event) -> str:
|
||
"""
|
||
创建卡片消息。
|
||
使用卡片消息是因为普通消息更新次数有限制，而大模型流式返回结果可能很多而超过限制，而飞书卡片没有这个限制（api免费次数有限）
|
||
"""
|
||
# message_id = event.message_chain.message_id
|
||
|
||
card_id = await self.create_card_id(message_id)
|
||
content = {
|
||
'type': 'card',
|
||
'data': {'card_id': card_id, 'template_variable': {'content': 'Thinking...'}},
|
||
} # 当收到消息时发送消息模板，可添加模板变量，详情查看飞书中接口文档
|
||
request: ReplyMessageRequest = (
|
||
ReplyMessageRequest.builder()
|
||
.message_id(event.message_chain.message_id)
|
||
.request_body(
|
||
ReplyMessageRequestBody.builder().content(json.dumps(content)).msg_type('interactive').build()
|
||
)
|
||
.build()
|
||
)
|
||
|
||
# 发起请求
|
||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request)
|
||
|
||
# 处理失败返回
|
||
if not response.success():
|
||
raise Exception(
|
||
f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||
)
|
||
return True
|
||
|
||
async def reply_message(
|
||
self,
|
||
message_source: platform_events.MessageEvent,
|
||
message: platform_message.MessageChain,
|
||
quote_origin: bool = False,
|
||
):
|
||
# 不再需要了，因为message_id已经被包含到message_chain中
|
||
# lark_event = await self.event_converter.yiri2target(message_source)
|
||
lark_message = await self.message_converter.yiri2target(message, self.api_client)
|
||
|
||
final_content = {
|
||
'zh_Hans': {
|
||
'title': '',
|
||
'content': lark_message,
|
||
},
|
||
}
|
||
|
||
request: ReplyMessageRequest = (
|
||
ReplyMessageRequest.builder()
|
||
.message_id(message_source.message_chain.message_id)
|
||
.request_body(
|
||
ReplyMessageRequestBody.builder()
|
||
.content(json.dumps(final_content))
|
||
.msg_type('post')
|
||
.reply_in_thread(False)
|
||
.uuid(str(uuid.uuid4()))
|
||
.build()
|
||
)
|
||
.build()
|
||
)
|
||
|
||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request)
|
||
|
||
if not response.success():
|
||
raise Exception(
|
||
f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||
)
|
||
|
||
async def reply_message_chunk(
|
||
self,
|
||
message_source: platform_events.MessageEvent,
|
||
bot_message,
|
||
message: platform_message.MessageChain,
|
||
quote_origin: bool = False,
|
||
is_final: bool = False,
|
||
):
|
||
"""
|
||
回复消息变成更新卡片消息
|
||
"""
|
||
# self.seq += 1
|
||
message_id = bot_message.resp_message_id
|
||
msg_seq = bot_message.msg_sequence
|
||
if msg_seq % 8 == 0 or is_final:
|
||
lark_message = await self.message_converter.yiri2target(message, self.api_client)
|
||
|
||
text_message = ''
|
||
for ele in lark_message[0]:
|
||
if ele['tag'] == 'text':
|
||
text_message += ele['text']
|
||
elif ele['tag'] == 'md':
|
||
text_message += ele['text']
|
||
|
||
# content = {
|
||
# 'type': 'card_json',
|
||
# 'data': {'card_id': self.card_id_dict[message_id], 'elements': {'content': text_message}},
|
||
# }
|
||
|
||
request: ContentCardElementRequest = (
|
||
ContentCardElementRequest.builder()
|
||
.card_id(self.card_id_dict[message_id])
|
||
.element_id('streaming_txt')
|
||
.request_body(
|
||
ContentCardElementRequestBody.builder()
|
||
# .uuid("a0d69e20-1dd1-458b-k525-dfeca4015204")
|
||
.content(text_message)
|
||
.sequence(msg_seq)
|
||
.build()
|
||
)
|
||
.build()
|
||
)
|
||
|
||
if is_final and bot_message.tool_calls is None:
|
||
# self.seq = 1 # 消息回复结束之后重置seq
|
||
self.card_id_dict.pop(message_id) # 清理已经使用过的卡片
|
||
# 发起请求
|
||
response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(request)
|
||
|
||
# 处理失败返回
|
||
if not response.success():
|
||
raise Exception(
|
||
f'client.im.v1.message.patch failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||
)
|
||
return
|
||
|
||
async def is_muted(self, group_id: int) -> bool:
|
||
return False
|
||
|
||
def register_listener(
|
||
self,
|
||
event_type: typing.Type[platform_events.Event],
|
||
callback: typing.Callable[
|
||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
|
||
],
|
||
):
|
||
self.listeners[event_type] = callback
|
||
|
||
def unregister_listener(
|
||
self,
|
||
event_type: typing.Type[platform_events.Event],
|
||
callback: typing.Callable[
|
||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
|
||
],
|
||
):
|
||
self.listeners.pop(event_type)
|
||
|
||
async def run_async(self):
|
||
port = self.config['port']
|
||
enable_webhook = self.config['enable-webhook']
|
||
|
||
if not enable_webhook:
|
||
try:
|
||
await self.bot._connect()
|
||
except lark_oapi.ws.exception.ClientException as e:
|
||
raise e
|
||
except Exception as e:
|
||
await self.bot._disconnect()
|
||
if self.bot._auto_reconnect:
|
||
await self.bot._reconnect()
|
||
else:
|
||
raise e
|
||
else:
|
||
|
||
async def shutdown_trigger_placeholder():
|
||
while True:
|
||
await asyncio.sleep(1)
|
||
|
||
await self.quart_app.run_task(
|
||
host='0.0.0.0',
|
||
port=port,
|
||
shutdown_trigger=shutdown_trigger_placeholder,
|
||
)
|
||
|
||
async def kill(self) -> bool:
|
||
# 需要断开连接，不然旧的连接会继续运行，导致飞书消息来时会随机选择一个连接
|
||
# 断开时lark.ws.Client的_receive_message_loop会打印error日志: receive message loop exit。然后进行重连，
|
||
# 所以要设置_auto_reconnect=False,让其不重连。
|
||
self.bot._auto_reconnect = False
|
||
await self.bot._disconnect()
|
||
return False
|