chore: Add PyPI package support for uvx/pip installation (#1764)

* Initial plan

* Add package structure and resource path utilities

- Created langbot/ package with __init__.py and __main__.py entry point
- Added paths utility to find frontend and resource files from package installation
- Updated config loading to use resource paths
- Updated frontend serving to use resource paths
- Added MANIFEST.in for package data inclusion
- Updated pyproject.toml with build system and entry points

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI publishing workflow and update license

- Created GitHub Actions workflow to build frontend and publish to PyPI
- Added license field to pyproject.toml to fix deprecation warning
- Updated .gitignore to exclude build artifacts
- Tested package building successfully

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI installation documentation

- Created PYPI_INSTALLATION.md with detailed installation and usage instructions
- Updated README.md to feature uvx/pip installation as recommended method
- Updated README_EN.md with same changes for English documentation

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Address code review feedback

- Made package-data configuration more specific to langbot package only
- Improved path detection with caching to avoid repeated file I/O
- Removed sys.path searching which was incorrect for package data
- Removed interactive input() call for non-interactive environment compatibility
- Simplified error messages for version check

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Fix code review issues

- Use specific exception types instead of bare except
- Fix misleading comments about directory levels
- Remove redundant existence check before makedirs with exist_ok=True
- Use context manager for file opening to ensure proper cleanup

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Simplify package configuration and document behavioral differences

- Removed redundant package-data configuration, relying on MANIFEST.in
- Added documentation about behavioral differences between package and source installation
- Clarified that include-package-data=true uses MANIFEST.in for data files

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* chore: update pyproject.toml

* chore: try pack templates in langbot/

* chore: update

* chore: update

* chore: update

* chore: update

* chore: update

* chore: adjust dir structure

* chore: fix imports

* fix: read default-pipeline-config.json

* fix: read default-pipeline-config.json

* fix: tests

* ci: publish pypi

* chore: bump version 4.6.0-beta.1 for testing

* chore: add templates/**

* fix: send adapters and requesters icons

* chore: bump version 4.6.0b2 for testing

* chore: add platform field for docker-compose.yaml

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
Copilot
2025-11-16 19:53:01 +08:00
committed by GitHub
parent 6a24c951e0
commit e642ffa5b3
477 changed files with 1001 additions and 1002 deletions

View File

@@ -0,0 +1,810 @@
from __future__ import annotations
import lark_oapi
from lark_oapi.api.im.v1 import CreateImageRequest, CreateImageRequestBody
import traceback
import typing
import asyncio
import re
import base64
import uuid
import json
import datetime
import hashlib
from Crypto.Cipher import AES
import aiohttp
import lark_oapi.ws.exception
import quart
from lark_oapi.api.im.v1 import *
import pydantic
from lark_oapi.api.cardkit.v1 import *
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
import langbot_plugin.api.entities.builtin.platform.message as platform_message
import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
class AESCipher(object):
def __init__(self, key):
self.bs = AES.block_size
self.key = hashlib.sha256(AESCipher.str_to_bytes(key)).digest()
@staticmethod
def str_to_bytes(data):
u_type = type(b''.decode('utf8'))
if isinstance(data, u_type):
return data.encode('utf8')
return data
@staticmethod
def _unpad(s):
return s[: -ord(s[len(s) - 1 :])]
def decrypt(self, enc):
iv = enc[: AES.block_size]
cipher = AES.new(self.key, AES.MODE_CBC, iv)
return self._unpad(cipher.decrypt(enc[AES.block_size :]))
def decrypt_string(self, enc):
enc = base64.b64decode(enc)
return self.decrypt(enc).decode('utf8')
class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@staticmethod
async def yiri2target(
message_chain: platform_message.MessageChain, api_client: lark_oapi.Client
) -> typing.Tuple[list]:
message_elements = []
pending_paragraph = []
for msg in message_chain:
if isinstance(msg, platform_message.Plain):
# Ensure text is valid UTF-8
try:
text = msg.text.encode('utf-8').decode('utf-8')
pending_paragraph.append({'tag': 'md', 'text': text})
except UnicodeError:
# If text is not valid UTF-8, try to decode with other encodings
try:
text = msg.text.encode('latin1').decode('utf-8')
pending_paragraph.append({'tag': 'md', 'text': text})
except UnicodeError:
# If still fails, replace invalid characters
text = msg.text.encode('utf-8', errors='replace').decode('utf-8')
pending_paragraph.append({'tag': 'md', 'text': text})
elif isinstance(msg, platform_message.At):
pending_paragraph.append({'tag': 'at', 'user_id': msg.target, 'style': []})
elif isinstance(msg, platform_message.AtAll):
pending_paragraph.append({'tag': 'at', 'user_id': 'all', 'style': []})
elif isinstance(msg, platform_message.Image):
image_bytes = None
if msg.base64:
try:
# Remove data URL prefix if present
if msg.base64.startswith('data:'):
msg.base64 = msg.base64.split(',', 1)[1]
image_bytes = base64.b64decode(msg.base64)
except Exception:
traceback.print_exc()
continue
elif msg.url:
try:
async with aiohttp.ClientSession() as session:
async with session.get(msg.url) as response:
if response.status == 200:
image_bytes = await response.read()
else:
traceback.print_exc()
continue
except Exception:
traceback.print_exc()
continue
elif msg.path:
try:
with open(msg.path, 'rb') as f:
image_bytes = f.read()
except Exception:
traceback.print_exc()
continue
if image_bytes is None:
continue
try:
# Create a temporary file to store the image bytes
import tempfile
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
temp_file.write(image_bytes)
temp_file.flush()
# Create image request using the temporary file
request = (
CreateImageRequest.builder()
.request_body(
CreateImageRequestBody.builder()
.image_type('message')
.image(open(temp_file.name, 'rb'))
.build()
)
.build()
)
response = await api_client.im.v1.image.acreate(request)
if not response.success():
raise Exception(
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)}'
)
image_key = response.data.image_key
message_elements.append(pending_paragraph)
message_elements.append(
[
{
'tag': 'img',
'image_key': image_key,
}
]
)
pending_paragraph = []
except Exception:
traceback.print_exc()
continue
finally:
# Clean up the temporary file
import os
if 'temp_file' in locals():
os.unlink(temp_file.name)
elif isinstance(msg, platform_message.Forward):
for node in msg.node_list:
message_elements.extend(await LarkMessageConverter.yiri2target(node.message_chain, api_client))
if pending_paragraph:
message_elements.append(pending_paragraph)
return message_elements
@staticmethod
async def target2yiri(
message: lark_oapi.api.im.v1.model.event_message.EventMessage,
api_client: lark_oapi.Client,
) -> platform_message.MessageChain:
message_content = json.loads(message.content)
lb_msg_list = []
msg_create_time = datetime.datetime.fromtimestamp(int(message.create_time) / 1000)
lb_msg_list.append(platform_message.Source(id=message.message_id, time=msg_create_time))
if message.message_type == 'text':
element_list = []
def text_element_recur(text_ele: dict) -> list[dict]:
if text_ele['text'] == '':
return []
at_pattern = re.compile(r'@_user_[\d]+')
at_matches = at_pattern.findall(text_ele['text'])
name_mapping = {}
for mathc in at_matches:
for mention in message.mentions:
if mention.key == mathc:
name_mapping[mathc] = mention.name
break
if len(name_mapping.keys()) == 0:
return [text_ele]
# 只处理第一个,剩下的递归处理
text_split = text_ele['text'].split(list(name_mapping.keys())[0])
new_list = []
left_text = text_split[0]
right_text = text_split[1]
new_list.extend(text_element_recur({'tag': 'text', 'text': left_text, 'style': []}))
new_list.append(
{
'tag': 'at',
'user_id': list(name_mapping.keys())[0],
'user_name': name_mapping[list(name_mapping.keys())[0]],
'style': [],
}
)
new_list.extend(text_element_recur({'tag': 'text', 'text': right_text, 'style': []}))
return new_list
element_list = text_element_recur({'tag': 'text', 'text': message_content['text'], 'style': []})
message_content = {'title': '', 'content': element_list}
elif message.message_type == 'post':
new_list = []
for ele in message_content['content']:
if type(ele) is dict:
new_list.append(ele)
elif type(ele) is list:
new_list.extend(ele)
message_content['content'] = new_list
elif message.message_type == 'image':
message_content['content'] = [{'tag': 'img', 'image_key': message_content['image_key'], 'style': []}]
for ele in message_content['content']:
if ele['tag'] == 'text':
lb_msg_list.append(platform_message.Plain(text=ele['text']))
elif ele['tag'] == 'at':
lb_msg_list.append(platform_message.At(target=ele['user_name']))
elif ele['tag'] == 'img':
image_key = ele['image_key']
request: GetMessageResourceRequest = (
GetMessageResourceRequest.builder()
.message_id(message.message_id)
.file_key(image_key)
.type('image')
.build()
)
response: GetMessageResourceResponse = await api_client.im.v1.message_resource.aget(request)
if not response.success():
raise Exception(
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)}'
)
image_bytes = response.file.read()
image_base64 = base64.b64encode(image_bytes).decode()
image_format = response.raw.headers['content-type']
lb_msg_list.append(platform_message.Image(base64=f'data:{image_format};base64,{image_base64}'))
return platform_message.MessageChain(lb_msg_list)
class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
@staticmethod
async def yiri2target(
event: platform_events.MessageEvent,
) -> lark_oapi.im.v1.P2ImMessageReceiveV1:
pass
@staticmethod
async def target2yiri(
event: lark_oapi.im.v1.P2ImMessageReceiveV1, api_client: lark_oapi.Client
) -> platform_events.Event:
message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
if event.event.message.chat_type == 'p2p':
return platform_events.FriendMessage(
sender=platform_entities.Friend(
id=event.event.sender.sender_id.open_id,
nickname=event.event.sender.sender_id.union_id,
remark='',
),
message_chain=message_chain,
time=event.event.message.create_time,
)
elif event.event.message.chat_type == 'group':
return platform_events.GroupMessage(
sender=platform_entities.GroupMember(
id=event.event.sender.sender_id.open_id,
member_name=event.event.sender.sender_id.union_id,
permission=platform_entities.Permission.Member,
group=platform_entities.Group(
id=event.event.message.chat_id,
name='',
permission=platform_entities.Permission.Member,
),
special_title='',
join_timestamp=0,
last_speak_timestamp=0,
mute_time_remaining=0,
),
message_chain=message_chain,
time=event.event.message.create_time,
)
CARD_ID_CACHE_SIZE = 500
CARD_ID_CACHE_MAX_LIFETIME = 20 * 60 # 20分钟
class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
bot: lark_oapi.ws.Client = pydantic.Field(exclude=True)
api_client: lark_oapi.Client = pydantic.Field(exclude=True)
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
lark_tenant_key: str = pydantic.Field(exclude=True, default='') # 飞书企业key
message_converter: LarkMessageConverter = LarkMessageConverter()
event_converter: LarkEventConverter = LarkEventConverter()
listeners: typing.Dict[
typing.Type[platform_events.Event],
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
]
quart_app: quart.Quart = pydantic.Field(exclude=True)
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
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
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
quart_app = quart.Quart(__name__)
@quart_app.route('/lark/callback', methods=['POST'])
async def lark_callback():
try:
data = await quart.request.json
if 'encrypt' in data:
cipher = AESCipher(config['encrypt-key'])
data = cipher.decrypt_string(data['encrypt'])
data = json.loads(data)
type = data.get('type')
if type is None:
context = EventContext(data)
type = context.header.event_type
if 'url_verification' == type:
# todo 验证verification token
return {'challenge': data.get('challenge')}
context = EventContext(data)
type = context.header.event_type
p2v1 = P2ImMessageReceiveV1()
p2v1.header = context.header
event = P2ImMessageReceiveV1Data()
event.message = EventMessage(context.event['message'])
event.sender = EventSender(context.event['sender'])
p2v1.event = event
p2v1.schema = context.schema
if 'im.message.receive_v1' == type:
try:
event = await self.event_converter.target2yiri(p2v1, self.api_client)
except Exception:
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
if event.__class__ in self.listeners:
await self.listeners[event.__class__](event, self)
return {'code': 200, 'message': 'ok'}
except Exception:
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
return {'code': 500, 'message': 'error'}
async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
lb_event = await self.event_converter.target2yiri(event, self.api_client)
await self.listeners[type(lb_event)](lb_event, self)
def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
asyncio.create_task(on_message(event))
event_handler = (
lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
)
bot_account_id = config['bot_name']
bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler)
api_client = lark_oapi.Client.builder().app_id(config['app_id']).app_secret(config['app_secret']).build()
super().__init__(
config=config,
logger=logger,
lark_tenant_key=config.get('lark_tenant_key', ''),
card_id_dict={},
seq=1,
listeners={},
quart_app=quart_app,
bot=bot,
api_client=api_client,
bot_account_id=bot_account_id,
**kwargs,
)
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
pass
async def is_stream_output_supported(self) -> bool:
is_stream = False
if self.config.get('enable-stream-reply', None):
is_stream = True
return is_stream
async def create_card_id(self, message_id):
try:
# self.logger.debug('飞书支持stream输出,创建卡片......')
card_data = {
'schema': '2.0',
'config': {
'update_multi': True,
'streaming_mode': True,
'streaming_config': {
'print_step': {'default': 1},
'print_frequency_ms': {'default': 70},
'print_strategy': 'fast',
},
},
'body': {
'direction': 'vertical',
'padding': '12px 12px 12px 12px',
'elements': [
{
'tag': 'div',
'text': {
'tag': 'plain_text',
'content': 'LangBot',
'text_size': 'normal',
'text_align': 'left',
'text_color': 'default',
},
'icon': {
'tag': 'custom_icon',
'img_key': 'img_v3_02p3_05c65d5d-9bad-440a-a2fb-c89571bfd5bg',
},
},
{
'tag': 'markdown',
'content': '',
'text_align': 'left',
'text_size': 'normal',
'margin': '0px 0px 0px 0px',
'element_id': 'streaming_txt',
},
{
'tag': 'markdown',
'content': '',
'text_align': 'left',
'text_size': 'normal',
'margin': '0px 0px 0px 0px',
},
{
'tag': 'column_set',
'horizontal_spacing': '8px',
'horizontal_align': 'left',
'columns': [
{
'tag': 'column',
'width': 'weighted',
'elements': [
{
'tag': 'markdown',
'content': '',
'text_align': 'left',
'text_size': 'normal',
'margin': '0px 0px 0px 0px',
},
{
'tag': 'markdown',
'content': '',
'text_align': 'left',
'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