worker is always 1, removed it and commented unreachable print outs
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@ -52,8 +52,6 @@ def work(backend_address, accumulator_host, accumulator_port, visualisation_host
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zmq_socks = ZMQSockets(backend_address, accumulator_host, accumulator_port, visualisation_host, visualisation_port)
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# all the normal workers
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worker = 1
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center_radial_integration = None
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rad_radial_integration = None
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@ -67,6 +65,7 @@ def work(backend_address, accumulator_host, accumulator_port, visualisation_host
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n_aggregated_images = 1
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data_summed = None
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while True:
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# check if peakfinder parameters changed and then re-read it
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@ -75,17 +74,17 @@ def work(backend_address, accumulator_host, accumulator_port, visualisation_host
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new_time = os.path.getmtime(fn_peakfinder_parameters)
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time_delta = new_time - peakfinder_parameters_time
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if time_delta > 2.0:
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old_peakfinder_parameters = peakfinder_parameters
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# old_peakfinder_parameters = peakfinder_parameters
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sleep(0.5)
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peakfinder_parameters = json_load(fn_peakfinder_parameters)
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peakfinder_parameters_time = new_time
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center_radial_integration = None # beam_center_x/beam_center_y might have changed
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if worker == 0:
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print(f"({pulse_id}) update peakfinder parameters {old_peakfinder_parameters}", flush=True)
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print(f" --> {peakfinder_parameters}", flush=True)
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print(flush=True)
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# if worker == 0:
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# print(f"({pulse_id}) update peakfinder parameters {old_peakfinder_parameters}", flush=True)
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# print(f" --> {peakfinder_parameters}", flush=True)
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# print(flush=True)
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except Exception as e:
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print(f"({pulse_id}) problem ({e}) to read peakfinder parameters file, worker : {worker}", flush=True)
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print(f"({pulse_id}) problem ({e}) to read peakfinder parameters file", flush=True)
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if not zmq_socks.has_data():
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@ -193,7 +192,7 @@ def work(backend_address, accumulator_host, accumulator_port, visualisation_host
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data_summed = data.copy()
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data_summed[data == -np.nan] = -np.nan #TODO: this does nothing
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results["aggregated_images"] = n_aggregated_images
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results["worker"] = worker
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results["worker"] = 1 #TODO: keep this for backwards compatibility?
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if n_aggregated_images >= results["aggregation_max"]:
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forceSendVisualisation = True
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data_summed = None
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