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[BugFix] fix control signal release failed (#3390)

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* [BugFix] fix control signal release failed

* [BugFix] fix control signal release failed

* update

* update

* update
This commit is contained in:
ltd0924
2025-08-19 13:51:38 +08:00
committed by GitHub
parent 8b12c80f90
commit bca8905b40
4 changed files with 58 additions and 48 deletions
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68
fastdeploy/entrypoints/openai/serving_chat.py
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@@ -78,47 +78,47 @@ class OpenAIServingChat:
err_msg = f"Only master node can accept completion request, please send request to master node: {self.pod_ips[0]}"
api_server_logger.error(err_msg)
return ErrorResponse(message=err_msg, code=400)
if request.user is not None:
request_id = f"chatcmpl-{request.user}-{uuid.uuid4()}"
else:
request_id = f"chatcmpl-{uuid.uuid4()}"
api_server_logger.info(f"create chat completion request: {request_id}")
text_after_process = None
try:
current_req_dict = request.to_dict_for_infer(request_id)
if "chat_template" not in current_req_dict:
current_req_dict["chat_template"] = self.chat_template
current_req_dict["arrival_time"] = time.time()
prompt_token_ids = self.engine_client.format_and_add_data(current_req_dict)
text_after_process = current_req_dict.get("text_after_process")
if isinstance(prompt_token_ids, np.ndarray):
prompt_token_ids = prompt_token_ids.tolist()
except Exception as e:
return ErrorResponse(code=400, message=str(e))
del current_req_dict
try:
api_server_logger.debug(f"{self.engine_client.semaphore.status()}")
if self.max_waiting_time < 0:
await self.engine_client.semaphore.acquire()
else:
await asyncio.wait_for(self.engine_client.semaphore.acquire(), timeout=self.max_waiting_time)
except Exception:
return ErrorResponse(code=408, message=f"Request queued time exceed {self.max_waiting_time}")
api_server_logger.info(f"current {self.engine_client.semaphore.status()}")
if request.stream:
return self.chat_completion_stream_generator(
request, request_id, request.model, prompt_token_ids, text_after_process
)
else:
if request.user is not None:
request_id = f"chatcmpl-{request.user}-{uuid.uuid4()}"
else:
request_id = f"chatcmpl-{uuid.uuid4()}"
api_server_logger.info(f"create chat completion request: {request_id}")
text_after_process = None
try:
return await self.chat_completion_full_generator(
request, request_id, request.model, prompt_token_ids, text_after_process
)
current_req_dict = request.to_dict_for_infer(request_id)
if "chat_template" not in current_req_dict:
current_req_dict["chat_template"] = self.chat_template
current_req_dict["arrival_time"] = time.time()
prompt_token_ids = self.engine_client.format_and_add_data(current_req_dict)
text_after_process = current_req_dict.get("text_after_process")
if isinstance(prompt_token_ids, np.ndarray):
prompt_token_ids = prompt_token_ids.tolist()
except Exception as e:
return ErrorResponse(code=400, message=str(e))
del current_req_dict
if request.stream:
return self.chat_completion_stream_generator(
request, request_id, request.model, prompt_token_ids, text_after_process
)
else:
try:
return await self.chat_completion_full_generator(
request, request_id, request.model, prompt_token_ids, text_after_process
)
except Exception as e:
return ErrorResponse(code=400, message=str(e))
except Exception:
return ErrorResponse(code=408, message=f"Request queued time exceed {self.max_waiting_time}")
def _create_streaming_error_response(self, message: str) -> str:
error_response = ErrorResponse(
code=400,
@@ -254,6 +254,7 @@ class OpenAIServingChat:
logprobs_res = self._create_chat_logprobs(
output_top_logprobs, request.logprobs, request.top_logprobs
)
if self.engine_client.data_processor.tool_parser_obj and not res["finished"]:
tool_delta_message = output["tool_delta_message"]
if tool_delta_message is None:
@@ -277,7 +278,6 @@ class OpenAIServingChat:
logprobs=logprobs_res,
arrival_time=arrival_time,
)
if res["finished"]:
num_choices -= 1
work_process_metrics.e2e_request_latency.observe(
@@ -309,7 +309,6 @@ class OpenAIServingChat:
if len(choices) == max_streaming_response_tokens or res["finished"]:
chunk.choices = choices
yield f"data: {chunk.model_dump_json(exclude_unset=True)}\n\n"
# 打印尾包
if res["finished"]:
api_server_logger.info(f"Chat Streaming response last send: {chunk.model_dump_json()}")
choices = []
@@ -417,8 +416,9 @@ class OpenAIServingChat:
if task_is_finished:
break
finally:
self.engine_client.semaphore.release()
dealer.close()
self.engine_client.semaphore.release()
api_server_logger.info(f"release {self.engine_client.semaphore.status()}")
choices = []
output = final_res["outputs"]