92 lines
3.8 KiB
Python
92 lines
3.8 KiB
Python
from collections import OrderedDict
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from cam_server.utils import create_thread_pvs, epics_lock
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from logging import getLogger
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import json
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import math
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_logger = getLogger(__name__)
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mean_x_name, mean_y_name, sig_x_name, sig_y_name = None, None, None, None
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ampl_x_name, ampl_y_name, integ_x_name, integ_y_name = None, None, None, None
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camera_name = None
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sent_pid = -1
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initialized = False
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throw_epics_errors = False
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def initialize(parameters, data):
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global initialized, camera_name
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global mean_x_name, mean_y_name, sig_x_name, sig_y_name, ampl_x_name, ampl_y_name, integ_x_name, integ_y_name
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processing_parameters = json.loads(data["processing_parameters"])
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camera_name = processing_parameters["camera_name"]
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mean_x_name = camera_name + ":POS-X"
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mean_y_name = camera_name + ":POS-Y"
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sig_x_name = camera_name + ":SIG-X"
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sig_y_name = camera_name + ":SIG-Y"
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ampl_x_name = camera_name + ":AMPL-X"
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ampl_y_name = camera_name + ":AMPL-Y"
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integ_x_name = camera_name + ":INTEG-X"
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integ_y_name = camera_name + ":INTEG-Y"
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initialized = True
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def process(data, pulse_id, timestamp, parameters):
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global initialized, sent_pid, camera_name
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global mean_x_name, mean_y_name, sig_x_name, sig_y_name
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if not initialized:
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initialize(parameters, data)
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initialized = True
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mean_x_pv, mean_y_pv, sig_x_pv, sig_y_pv, ampl_x_pv, ampl_y_pv, integ_x_pv, integ_y_pv = create_thread_pvs([mean_x_name, mean_y_name, sig_x_name, sig_y_name, ampl_x_name, ampl_y_name, integ_x_name, integ_y_name])
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ret = OrderedDict()
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throw_epics_errors = parameters.get("throw_epics_errors", True)
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x_fit_integ = data["x_fit_amplitude"] * data["x_fit_standard_deviation"] * math.sqrt(2*math.pi)
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y_fit_integ = data["y_fit_amplitude"] * data["y_fit_standard_deviation"] * math.sqrt(2*math.pi)
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channels = ["intensity", "x_fit_mean", "y_fit_mean", "x_fit_standard_deviation", "y_fit_standard_deviation",
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"x_center_of_mass", "y_center_of_mass", "x_rms", "y_rms", "x_fwhm", "y_fwhm","x_fit_amplitude", "y_fit_amplitude"]
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for c in channels:
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ret[camera_name + ":" + c] = data[c]
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ret[camera_name + ":x_fit_integ"] = x_fit_integ
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ret[camera_name + ":y_fit_integ"] = y_fit_integ
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epics_error = None
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if pulse_id > sent_pid:
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sent_pid = pulse_id
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if epics_lock.acquire(False):
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try:
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for (pv, value) in [(mean_x_pv, data["x_fit_mean"]), \
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(mean_y_pv, data["y_fit_mean"]), \
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(sig_x_pv, data["x_fit_standard_deviation"]), \
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(sig_y_pv, data["y_fit_standard_deviation"]), \
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(ampl_x_pv, data["x_fit_amplitude"]), \
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(ampl_y_pv, data["y_fit_amplitude"]), \
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(integ_x_pv, x_fit_integ), \
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(integ_y_pv, y_fit_integ) \
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]:
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if pv and pv.connected:
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pv.put(value)
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else:
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_logger.warning("PV not connected: %s" % (str(pv),))
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# epics_error = "PV not connected: %s" % (str(pv),)
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except Exception as e:
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epics_error = "Error writing PVs: %s" % (str(e),)
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finally:
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epics_lock.release()
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else:
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_logger.warning("Cannot aquire EPICS lock")
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if epics_error:
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_logger.warning(epics_error)
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if throw_epics_errors:
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raise Exception(epics_error)
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return ret
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else:
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_logger.warning("Invalid PID: %s last:%s" % (str(pulse_id), str(sent_pid),))
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sent_pid = 0 # It should be single threaded, assumes the camera instance restarted |