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Code Issues Packages Projects Releases Wiki Activity

feat: add GitHub Actions workflow for linting with Ruff (#1929)

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* feat: add GitHub Actions workflow for linting with Ruff

* refactor: rename lint job and add formatting step to Ruff workflow

* chore: run ruff format

* chore: rename Ruff lint job to 'Lint' and add frontend linting workflow
This commit is contained in:
Junyan Qin (Chin)
2026-01-23 13:43:12 +08:00
committed by GitHub
parent e60cb6ad0e
commit fc6e414be4
17 changed files with 327 additions and 450 deletions
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3
src/langbot/pkg/provider/modelmgr/requesters/seekdbembed.py
View File

@@ -51,9 +51,10 @@ class SeekDBEmbedding(requester.ProviderAPIRequester):
await self.initialize()
if self._embedding_function is None:
raise RuntimeError("SeekDB embedding function initialization failed")
raise RuntimeError('SeekDB embedding function initialization failed')
return self._embedding_function(input_text)
except Exception as e:
from .. import errors
raise errors.RequesterError(f'SeekDB embedding failed: {str(e)}')

8
src/langbot/pkg/provider/runners/localagent.py
View File

@@ -218,10 +218,14 @@ class LocalAgentRunner(runner.RequestRunner):
parameters = {}
func_ret = await self.ap.tool_mgr.execute_func_call(func.name, parameters, query=query)
# Handle return value content
tool_content = None
if isinstance(func_ret, list) and len(func_ret) > 0 and isinstance(func_ret[0], provider_message.ContentElement):
if (
isinstance(func_ret, list)
and len(func_ret) > 0
and isinstance(func_ret[0], provider_message.ContentElement)
):
tool_content = func_ret
else:
tool_content = json.dumps(func_ret, ensure_ascii=False)

97
src/langbot/pkg/provider/runners/n8nsvapi.py
View File

@@ -68,15 +68,16 @@ class N8nServiceAPIRunner(runner.RequestRunner):
return plain_text
async def _process_stream_response(self, response: aiohttp.ClientResponse) -> typing.AsyncGenerator[
provider_message.Message, None]:
async def _process_stream_response(
self, response: aiohttp.ClientResponse
) -> typing.AsyncGenerator[provider_message.Message, None]:
"""处理流式响应——支持部分 JSON 和多个 JSON 对象在同一 chunk 的情况"""
full_content = ""
full_content = ''
chunk_idx = 0
is_final = False
message_idx = 0
buffer = ""
buffer = ''
decoder = json.JSONDecoder()
async for raw_chunk in response.content.iter_chunked(1024):
@@ -129,7 +130,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
preview = chunk_str[:200]
except Exception:
preview = '<unavailable>'
self.ap.logger.warning(f"Failed to process chunk: {e}; chunk preview: {preview}")
self.ap.logger.warning(f'Failed to process chunk: {e}; chunk preview: {preview}')
# 流结束后，尝试解析残余 buffer
if buffer:
@@ -151,7 +152,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
)
except Exception as e:
preview = buffer[:200]
self.ap.logger.warning(f"Failed to parse remaining buffer: {e}; buffer preview: {preview}")
self.ap.logger.warning(f'Failed to parse remaining buffer: {e}; buffer preview: {preview}')
async def _call_webhook(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
"""调用n8n webhook"""
@@ -165,7 +166,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
# 准备请求数据
payload = {
# 基本消息内容
'chatInput' :plain_text, # 考虑到之前用户直接用的message model这里添加新键
'chatInput': plain_text, # 考虑到之前用户直接用的message model这里添加新键
'message': plain_text,
'user_message_text': plain_text,
'conversation_id': query.session.using_conversation.uuid,
@@ -217,57 +218,49 @@ class N8nServiceAPIRunner(runner.RequestRunner):
# 调用webhook
async with aiohttp.ClientSession() as session:
if is_stream:
# 流式请求
async with session.post(
self.webhook_url,
json=payload,
headers=headers,
auth=auth,
timeout=self.timeout
) as response:
if is_stream:
# 流式请求
async with session.post(
self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
) as response:
if response.status != 200:
error_text = await response.text()
self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
# 处理流式响应
async for chunk in self._process_stream_response(response):
yield chunk
else:
async with session.post(
self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
) as response:
try:
async for chunk in self._process_stream_response(response):
output_content = chunk.content if chunk.is_final else ''
except:
# 非流式请求（保持原有逻辑）
if response.status != 200:
error_text = await response.text()
self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
# 处理流式响应
async for chunk in self._process_stream_response(response):
yield chunk
else:
async with session.post(
self.webhook_url,
json=payload,
headers=headers,
auth=auth,
timeout=self.timeout
) as response:
try:
async for chunk in self._process_stream_response(response):
output_content = chunk.content if chunk.is_final else ''
except:
# 非流式请求（保持原有逻辑）
if response.status != 200:
error_text = await response.text()
self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
# 解析响应
response_data = await response.json()
self.ap.logger.debug(f'n8n webhook response: {response_data}')
# 解析响应
response_data = await response.json()
self.ap.logger.debug(f'n8n webhook response: {response_data}')
# 从响应中提取输出
if self.output_key in response_data:
output_content = response_data[self.output_key]
else:
# 如果没有指定的输出键，则使用整个响应
output_content = json.dumps(response_data, ensure_ascii=False)
# 从响应中提取输出
if self.output_key in response_data:
output_content = response_data[self.output_key]
else:
# 如果没有指定的输出键，则使用整个响应
output_content = json.dumps(response_data, ensure_ascii=False)
# 返回消息
yield provider_message.Message(
role='assistant',
content=output_content,
)
# 返回消息
yield provider_message.Message(
role='assistant',
content=output_content,
)
except Exception as e:
self.ap.logger.error(f'n8n webhook call exception: {str(e)}')
raise N8nAPIError(f'n8n webhook call exception: {str(e)}')
@@ -275,4 +268,4 @@ class N8nServiceAPIRunner(runner.RequestRunner):
async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
"""运行请求"""
async for msg in self._call_webhook(query):
yield msg
yield msg

17
src/langbot/pkg/provider/tools/loaders/mcp.py
View File

@@ -194,7 +194,7 @@ class RuntimeMCPSession:
async def func(*, _tool=tool, **kwargs):
if not self.session:
raise Exception("MCP session is not connected")
raise Exception('MCP session is not connected')
result = await self.session.call_tool(_tool.name, kwargs)
if result.isError:
@@ -202,8 +202,8 @@ class RuntimeMCPSession:
for content in result.content:
if content.type == 'text':
error_texts.append(content.text)
raise Exception("\n".join(error_texts) if error_texts else "Unknown error from MCP tool")
raise Exception('\n'.join(error_texts) if error_texts else 'Unknown error from MCP tool')
result_contents: list[provider_message.ContentElement] = []
for content in result.content:
if content.type == 'text':
@@ -213,7 +213,7 @@ class RuntimeMCPSession:
elif content.type == 'resource':
# TODO: Handle resource content
pass
return result_contents
func.__name__ = tool.name
@@ -221,8 +221,8 @@ class RuntimeMCPSession:
self.functions.append(
resource_tool.LLMTool(
name=tool.name,
human_desc=tool.description or "",
description=tool.description or "",
human_desc=tool.description or '',
description=tool.description or '',
parameters=tool.inputSchema,
func=func,
)
@@ -338,13 +338,10 @@ class MCPLoader(loader.ToolLoader):
"""
uuid_ = server_config.get('uuid')
if not uuid_:
self.ap.logger.warning(
'Server UUID is None for MCP server, maybe testing in the config page.'
)
self.ap.logger.warning('Server UUID is None for MCP server, maybe testing in the config page.')
uuid_ = str(uuid_module.uuid4())
server_config['uuid'] = uuid_
name = server_config['name']
uuid = server_config['uuid']
mode = server_config['mode']