set inference to false once finished
Browse files- handler.py +40 -38
handler.py
CHANGED
@@ -222,44 +222,6 @@ class EndpointHandler:
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return self.pipe
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def __call__(self, data: Any) -> Dict:
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"""Handle incoming requests."""
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action = data.get("action", None)
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request_id = data.get("request_id")
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# Check if the request_id is valid for all actions
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if not request_id:
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return {"flag": "error", "message": "Missing request_id."}
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if action == "check_progress":
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return self.check_progress(request_id)
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elif action == "inference":
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# Check if an inference is already in progress
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if self.inference_in_progress:
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return {
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"flag": "error",
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"message": "Another inference is already in progress. Please wait.",
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}
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# Set the inference state to in progress
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self.clean_request_data(request_id)
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self.inference_in_progress = True
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self.inference_progress[request_id] = 0
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self.inference_images[request_id] = None
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self.executor.submit(self.start_inference, data)
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return {
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"flag": "success",
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"message": "Inference started",
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"request_id": request_id,
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}
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else:
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return {"flag": "error", "message": f"Unsupported action: {action}"}
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def clean_request_data(self, request_id: str):
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"""Clean up the data related to a specific request ID."""
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@@ -418,9 +380,49 @@ class EndpointHandler:
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num_inference_steps, 0, image, request_id, "complete"
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# for debug
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# image.save("squirelb.png", format="PNG")
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except Exception as e:
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# Handle any other exceptions and return an error response
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return {"flag": "error", "message": str(e)}
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)
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return self.pipe
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def clean_request_data(self, request_id: str):
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"""Clean up the data related to a specific request ID."""
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num_inference_steps, 0, image, request_id, "complete"
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)
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self.inference_in_progress = False
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# for debug
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# image.save("squirelb.png", format="PNG")
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except Exception as e:
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# Handle any other exceptions and return an error response
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return {"flag": "error", "message": str(e)}
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def __call__(self, data: Any) -> Dict:
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"""Handle incoming requests."""
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action = data.get("action", None)
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request_id = data.get("request_id")
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# Check if the request_id is valid for all actions
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if not request_id:
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return {"flag": "error", "message": "Missing request_id."}
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if action == "check_progress":
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return self.check_progress(request_id)
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elif action == "inference":
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# Check if an inference is already in progress
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if self.inference_in_progress:
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return {
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"flag": "error",
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"message": "Another inference is already in progress. Please wait.",
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}
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# Set the inference state to in progress
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self.clean_request_data(request_id)
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self.inference_in_progress = True
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self.inference_progress[request_id] = 0
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self.inference_images[request_id] = None
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self.executor.submit(self.start_inference, data)
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return {
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"flag": "success",
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"message": "Inference started",
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"request_id": request_id,
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}
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else:
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return {"flag": "error", "message": f"Unsupported action: {action}"}
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