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feat: add GitHub Actions workflow for linting with Ruff (#1929)
* 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
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fc6e414be4
@@ -218,10 +218,14 @@ class LocalAgentRunner(runner.RequestRunner):
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parameters = {}
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func_ret = await self.ap.tool_mgr.execute_func_call(func.name, parameters, query=query)
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# Handle return value content
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tool_content = None
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if isinstance(func_ret, list) and len(func_ret) > 0 and isinstance(func_ret[0], provider_message.ContentElement):
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if (
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isinstance(func_ret, list)
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and len(func_ret) > 0
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and isinstance(func_ret[0], provider_message.ContentElement)
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):
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tool_content = func_ret
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else:
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tool_content = json.dumps(func_ret, ensure_ascii=False)
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@@ -68,15 +68,16 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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return plain_text
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async def _process_stream_response(self, response: aiohttp.ClientResponse) -> typing.AsyncGenerator[
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provider_message.Message, None]:
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async def _process_stream_response(
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self, response: aiohttp.ClientResponse
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) -> typing.AsyncGenerator[provider_message.Message, None]:
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"""处理流式响应——支持部分 JSON 和多个 JSON 对象在同一 chunk 的情况"""
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full_content = ""
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full_content = ''
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chunk_idx = 0
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is_final = False
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message_idx = 0
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buffer = ""
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buffer = ''
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decoder = json.JSONDecoder()
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async for raw_chunk in response.content.iter_chunked(1024):
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@@ -129,7 +130,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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preview = chunk_str[:200]
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except Exception:
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preview = '<unavailable>'
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self.ap.logger.warning(f"Failed to process chunk: {e}; chunk preview: {preview}")
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self.ap.logger.warning(f'Failed to process chunk: {e}; chunk preview: {preview}')
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# 流结束后,尝试解析残余 buffer
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if buffer:
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@@ -151,7 +152,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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)
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except Exception as e:
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preview = buffer[:200]
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self.ap.logger.warning(f"Failed to parse remaining buffer: {e}; buffer preview: {preview}")
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self.ap.logger.warning(f'Failed to parse remaining buffer: {e}; buffer preview: {preview}')
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async def _call_webhook(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
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"""调用n8n webhook"""
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@@ -165,7 +166,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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# 准备请求数据
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payload = {
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# 基本消息内容
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'chatInput' :plain_text, # 考虑到之前用户直接用的message model这里添加新键
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'chatInput': plain_text, # 考虑到之前用户直接用的message model这里添加新键
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'message': plain_text,
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'user_message_text': plain_text,
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'conversation_id': query.session.using_conversation.uuid,
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@@ -217,57 +218,49 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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# 调用webhook
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async with aiohttp.ClientSession() as session:
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if is_stream:
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# 流式请求
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async with session.post(
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self.webhook_url,
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json=payload,
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headers=headers,
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auth=auth,
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timeout=self.timeout
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) as response:
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if is_stream:
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# 流式请求
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async with session.post(
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self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
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) as response:
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if response.status != 200:
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error_text = await response.text()
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self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
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raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
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# 处理流式响应
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async for chunk in self._process_stream_response(response):
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yield chunk
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else:
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async with session.post(
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self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
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) as response:
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try:
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async for chunk in self._process_stream_response(response):
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output_content = chunk.content if chunk.is_final else ''
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except:
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# 非流式请求(保持原有逻辑)
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if response.status != 200:
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error_text = await response.text()
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self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
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raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
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# 处理流式响应
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async for chunk in self._process_stream_response(response):
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yield chunk
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else:
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async with session.post(
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self.webhook_url,
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json=payload,
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headers=headers,
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auth=auth,
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timeout=self.timeout
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) as response:
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try:
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async for chunk in self._process_stream_response(response):
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output_content = chunk.content if chunk.is_final else ''
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except:
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# 非流式请求(保持原有逻辑)
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if response.status != 200:
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error_text = await response.text()
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self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
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raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')
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# 解析响应
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response_data = await response.json()
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self.ap.logger.debug(f'n8n webhook response: {response_data}')
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# 解析响应
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response_data = await response.json()
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self.ap.logger.debug(f'n8n webhook response: {response_data}')
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# 从响应中提取输出
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if self.output_key in response_data:
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output_content = response_data[self.output_key]
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else:
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# 如果没有指定的输出键,则使用整个响应
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output_content = json.dumps(response_data, ensure_ascii=False)
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# 从响应中提取输出
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if self.output_key in response_data:
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output_content = response_data[self.output_key]
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else:
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# 如果没有指定的输出键,则使用整个响应
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output_content = json.dumps(response_data, ensure_ascii=False)
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# 返回消息
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yield provider_message.Message(
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role='assistant',
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content=output_content,
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)
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# 返回消息
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yield provider_message.Message(
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role='assistant',
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content=output_content,
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)
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except Exception as e:
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self.ap.logger.error(f'n8n webhook call exception: {str(e)}')
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raise N8nAPIError(f'n8n webhook call exception: {str(e)}')
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@@ -275,4 +268,4 @@ class N8nServiceAPIRunner(runner.RequestRunner):
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async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
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"""运行请求"""
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async for msg in self._call_webhook(query):
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yield msg
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yield msg
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