feat: migrate tune python service
This commit is contained in:
Benjamin Labrecque
@@ -5,6 +5,10 @@ description = "AGEBD-TUNE Service"
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requires-python = "==3.10.*"
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dependencies = [
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"agebd",
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"nafflib>=2.1.1",
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"numpy>=2.2.6",
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"scikit-learn>=1.7.2",
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"scipy>=1.15.3",
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]
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[dependency-groups]
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@@ -1,12 +1,20 @@
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import pickle # ONLY FOR TESTING
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import time
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from time import sleep, time
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from epics import dbr
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import nafflib
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import numpy as np
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from epics import PV
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from agebd.pv import LocalPVLink
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# TODO: handle how to incorporate this into the framework
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from OMFacility import Facility
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from scipy.fft import fft
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from sklearn.utils.extmath import randomized_svd
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from agebd.pv import get_pv_class
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from agebd.service.base import BaseService
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from agebd.service.pvs import BasePVs
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from agebd.utils import printgetversion
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from agebd.pv import get_pv_class
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__version__ = printgetversion(__file__)
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@@ -14,36 +22,79 @@ PV = get_pv_class()
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class PVs(BasePVs):
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# Option 1:
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## Service specific PVs from dedicated IOC
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my_pv1 = PV("AGEBD-TUNE:AO") # TODO: is this a good PV to use?
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Q1_fft = PV("AGEBD-TUNE:HORIZONTAL-PEAK1-FREQ") # horizontal tune from FFT
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Q2_fft = PV("AGEBD-TUNE:VERTICAL-PEAK1-FREQ") # vertical tune from FFT
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Q1_naff = PV("AGEBD-TUNE:Q1_NAFF") # horizontal tune from NAFF
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Q2_naff = PV("AGEBD-TUNE:Q2_NAFF") # vertical tune from NAFF
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## Service specific PVs from other IOCs
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# ...
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roi_Xi = PV("AGEBD-TUNE:CONTROL-ROI-Xi")
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roi_Xf = PV("AGEBD-TUNE:CONTROL-ROI-Xf")
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roi_Yi = PV("AGEBD-TUNE:CONTROL-ROI-Yi")
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roi_Yf = PV("AGEBD-TUNE:CONTROL-ROI-Yf")
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TbT_firstIndex = PV("AGEBD-TUNE:CONTROL-TbTFirstIndex")
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TbT_lastIndex = PV("AGEBD-TUNE:CONTROL-TbTLastIndex")
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specx_all = PV("AGEBD-TUNE:HORIZONTAL-SPEC-ALL")
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specy_all = PV("AGEBD-TUNE:VERTICAL-SPEC-ALL")
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specx_roi = PV("AGEBD-TUNE:HORIZONTAL-SPEC-ROI")
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specy_roi = PV("AGEBD-TUNE:VERTICAL-SPEC-ROI")
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osc_sample_all = PV("AGEBD-TUNE:OSCILLATION-SAMPLE-ALL")
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spec_sample_all = PV("AGEBD-TUNE:SPEC-SAMPLE-ALL")
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# to be implemented by Felix
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measTime = PV("AGEBD-TUNE:MEAS-TIME") # time taken for measurement
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NAveraging = PV("AGEBD-TUNE:CONTROL-NAveraging")
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naff_compute = PV("AGEBD-TUNE:CONTROL-NAFF")
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naff_harmonics = PV("AGEBD-TUNE:NAFF-HARMONICS")
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BPMSelect_single = PV("AGEBD-TUNE:SINGLE-BPM") # select whether only a single BPM is to be used
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BPMSelect_single_selected = PV("AGEBD-TUNE:BPM-SELECT-SINGLE")
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SVDclean = PV("AGEBD-TUNE:SVD-CLEAN") # select whether to use SVD cleaning
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SVDclean_NEig = PV("AGEBD-TUNE:SVD-CLEAN-Neigenvalues") # select whether to use SVD cleaning
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osc_x = PV("AGEBD-TUNE:OSCILLATION-X-ALL") # horizontal TbT to be transmissed
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osc_y = PV("AGEBD-TUNE:OSCILLATION-Y-ALL") # vertical TbT to be transmissed
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# usually it is advisable to trigger the mainloop of a service on changes of certain PVs:
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BPMTriggerEvent = PV("ARS07-CECL-DBPM3-1:EEVR-EVENT0-ID")
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CallbackPV_24 = PV("AGETI-CVME-MASTER-TMA:Evt-BO-Ext-EVRCount-I")
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CallbackPV_25 = PV("AGETI-CVME-MASTER-TMA:Evt-BO-Ext-BPM-EVRCount-I")
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CallbackPV_31 = PV("AGETI-CVME-MASTER-TMA:Evt-SR-Pinger-H-EVRCount-I")
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CallbackPV_32 = PV("AGETI-CVME-MASTER-TMA:Evt-SR-Inj-EVRCount-I")
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CallbackPV_34 = PV("AGETI-CVME-MASTER-TMA:Evt-SR-FKICK-EVRCount-I")
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CallbackPV_40 = PV("AGETI-CVME-MASTER-TMA:Evt-SR-BPM-EVRCount-I")
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def __init__(self, service_name: str, pv_factory=PV):
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super().__init__(service_name, pv_factory)
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PV = pv_factory
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# TODO: can we do this cleaner? Maybe mechanism for
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# settings initial values in dev mode (e.g. ini file)
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if isinstance(self.onoff, LocalPVLink):
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self.onoff.value = True
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S2 = Facility("/sls/bd/bin/MasterLayout.txt")
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S2.Layout("full", -1)
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# Option 2:
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## Service specific PVs from dedicated IOC
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self.my_pv2 = PV(
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"AGEBD-TUNE:BO"
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) # TODO: is this a good PV to use?
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disabledBPMs = ["ARS01-DBPM-0530", "ARS03-DBPM-0840", "ARS10-DBPM-0970", "ARS11-DBPM-0880"]
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BPMNames_BPM = S2.listElement_TYPE("BPM")
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BPMNames_BPMA = S2.listElement_TYPE("BPMA")
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BPMNames = [item for item in BPMNames_BPM if item not in disabledBPMs]
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BPMNamesA = [item for item in BPMNames_BPMA if item not in disabledBPMs]
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## Service specific PVs from other IOCs
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# ...
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BPMNames_x = [name + ":DAQ-BEAM-STG0-X" for name in BPMNames]
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BPMNames_y = [name + ":DAQ-BEAM-STG0-Y" for name in BPMNames]
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BPMNames_I = [name + ":DAQ-BEAM-STG0-Q" for name in BPMNames]
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BPMNamesA_x = [name + ":DAQ-BEAM-STG0-X" for name in BPMNamesA]
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BPMNamesA_y = [name + ":DAQ-BEAM-STG0-Y" for name in BPMNamesA]
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BPMNamesA_I = [name + ":DAQ-BEAM-STG0-Q" for name in BPMNamesA]
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# TODO: class attribute names usually lowercase
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# usually it is advisable to trigger the mainloop of a service on changes of certain PVs:
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self.CallbackPV = PV(
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"AGEBD-TUNE:CALLBACK", auto_monitor=dbr.DBE_VALUE
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) # TODO: ok?
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self.BPMx = [PV(name) for name in BPMNames_x]
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self.BPMy = [PV(name) for name in BPMNames_y]
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self.BPMI = [PV(name) for name in BPMNames_I]
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self.BPMxA = [PV(name) for name in BPMNamesA_x]
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self.BPMyA = [PV(name) for name in BPMNamesA_y]
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self.BPMIA = [PV(name) for name in BPMNamesA_I]
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self.CallbackPV = None
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class Service(BaseService[PVs]):
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@@ -56,38 +107,219 @@ class Service(BaseService[PVs]):
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):
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super().__init__(name, pvs, version, sleep_interval)
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# TODO: What is this for?
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self.path = "sls/bd/bin"
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self.update_control()
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def update_control(self):
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pvs = self.pvs
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BPMTriggerEvent = pvs.BPMTriggerEvent.get()
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if BPMTriggerEvent == 24: # trigger is booster extraction
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pvs.CallbackPV = pvs.CallbackPV_24
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elif BPMTriggerEvent == 25: # trigger is booster extraction BPM
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pvs.CallbackPV = pvs.CallbackPV_25
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elif BPMTriggerEvent == 31: # trigger is pingerH event
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pvs.CallbackPV = pvs.CallbackPV_31
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elif BPMTriggerEvent == 32: # trigger is SR-Inj event
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pvs.CallbackPV = pvs.CallbackPV_32
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elif BPMTriggerEvent == 34: # trigger is pingerV event fast kicker event
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pvs.CallbackPV = pvs.CallbackPV_34
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elif BPMTriggerEvent == 40: # trigger is SR BPM Sync event
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pvs.CallbackPV = pvs.CallbackPV_40
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else:
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print("BPM trigger event ID not understood. Value is: " + str(BPMTriggerEvent))
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samplingRate = 2 # sampling rate of BPMs w.r.t. 1 MHz
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TbT_firstIndex = np.int64(pvs.TbT_firstIndex.get())
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TbT_lastIndex = np.int64(pvs.TbT_lastIndex.get())
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# user was stupid: set first index higher than last index
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if TbT_firstIndex >= TbT_lastIndex:
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TbT_firstIndex = TbT_lastIndex - 1
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pvs.TbT_firstIndex.put(TbT_firstIndex)
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# user was stupid: set last index lower than first index
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if TbT_lastIndex <= TbT_firstIndex:
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TbT_lastIndex = TbT_firstIndex + 1
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pvs.TbT_lastIndex.put(TbT_lastIndex)
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self.Index_first = np.int64(
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np.arange(TbT_firstIndex * samplingRate, TbT_lastIndex * samplingRate + 1, samplingRate)
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)
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self.Index_second = np.int64(
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np.arange(
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1 + TbT_firstIndex * samplingRate,
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TbT_lastIndex * samplingRate + 1 + 1,
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samplingRate,
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)
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)
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self.NIndex = len(range(TbT_firstIndex, TbT_lastIndex + 1))
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# NAFF control parameters
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self.naff_onoff = pvs.naff_compute.get()
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self.naff_Nharmonics = int(pvs.naff_harmonics.get())
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pvs.osc_sample_all.put(np.int64(np.arange(self.NIndex)))
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pvs.spec_sample_all.put(np.linspace(0, 1, self.NIndex))
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if pvs.BPMSelect_single.get():
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BPMNames_single = pvs.BPMSelect_single_selected.get()
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index_BPM = next((i for i, s in enumerate(BPMNames) if s == BPMNames_single), None)
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index_BPMA = next((i for i, s in enumerate(BPMNamesA) if s == BPMNames_single), None)
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if index_BPM is not None:
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pvs.BPMx_selected = [pvs.BPMx[index_BPM]]
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pvs.BPMy_selected = [pvs.BPMy[index_BPM]]
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pvs.BPMI_selected = [pvs.BPMI[index_BPM]]
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else:
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pvs.BPMx_selected = [pvs.BPMxA[index_BPMA]]
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pvs.BPMy_selected = [pvs.BPMyA[index_BPMA]]
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pvs.BPMI_selected = [pvs.BPMIA[index_BPMA]]
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self.NBPMs = 1
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else:
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pvs.BPMx_selected = pvs.BPMx
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pvs.BPMy_selected = pvs.BPMy
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pvs.BPMI_selected = pvs.BPMI
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self.NBPMs = len(pvs.BPMx)
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self.NSamples = int(pvs.NAveraging.get())
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self.N_SVDeig = int(pvs.SVDclean_NEig.get())
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def update(self):
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# when callback is fired, this code will be executed
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pvs = self.pvs
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if self.CallbackFired:
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#######################################################################################
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#######################################################################################
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# here goes all the code that your service
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# is supposed to be running when the callback is fired
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time.sleep(1)
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#######################################################################################
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#######################################################################################
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t_start = time()
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self.update_control()
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if self.NBPMs == 0:
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return
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x = np.zeros((self.NBPMs, self.NIndex, self.NSamples))
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y = np.zeros((self.NBPMs, self.NIndex, self.NSamples))
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for sample in range(self.NSamples):
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if sample > 0:
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sleep(1 / 3)
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xtmp = np.array([pv.get() for pv in pvs.BPMx_selected])
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ytmp = np.array([pv.get() for pv in pvs.BPMy_selected])
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Itmp = np.array([pv.get() for pv in pvs.BPMI_selected])
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index_max = np.argmax(Itmp[:, 0:2], axis=1)
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for n in range(self.NBPMs):
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if index_max[n] == 0:
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x[n, :, sample] = xtmp[n, self.Index_first] - np.mean(
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xtmp[n, self.Index_first]
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) # subtract mean values
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y[n, :, sample] = ytmp[n, self.Index_first] - np.mean(
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ytmp[n, self.Index_first]
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) # subtract mean values
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else:
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x[n, :, sample] = xtmp[n, self.Index_second] - np.mean(
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xtmp[n, self.Index_second]
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) # subtract mean values
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y[n, :, sample] = ytmp[n, self.Index_second] - np.mean(
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ytmp[n, self.Index_second]
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) # subtract mean values
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Ax = np.mean(x, axis=2) # average over NSamples
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Ay = np.mean(y, axis=2)
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if pvs.SVDclean.get():
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Ux, Sx, Vx_T = randomized_svd(Ax, n_components=self.N_SVDeig)
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Ax = Ux @ np.diag(Sx) @ Vx_T
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Uy, Sy, Vy_T = randomized_svd(Ay, n_components=self.N_SVDeig)
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Ay = Uy @ np.diag(Sy) @ Vy_T
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Fx = fft(Ax[0, :]) # FFT first BPM only
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Fy = fft(Ay[0, :])
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specx = np.abs(Fx) # Take absolute of FFT to obtain amplitude spectra
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specy = np.abs(Fy)
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specx[: np.int64(np.ceil(self.NIndex * 0.01))] = 0 # remove DC component
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specy[: np.int64(np.ceil(self.NIndex * 0.01))] = 0 # remove DC component
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specx_avg = specx / np.max(specx) # normalize spectra of first BPM
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specy_avg = specy / np.max(specy) # normalize spectra of first BPM
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window_x_start = round(pvs.roi_Xi.get() * self.NIndex)
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window_x_end = round(pvs.roi_Xf.get() * self.NIndex)
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window_y_start = round(pvs.roi_Yi.get() * self.NIndex)
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window_y_end = round(pvs.roi_Yf.get() * self.NIndex)
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window_indices_x = np.arange(window_x_start, window_x_end + 1)
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window_indices_y = np.arange(window_y_start, window_y_end + 1)
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index_max_local_x = np.argmax(specx_avg[window_x_start:window_x_end])
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index_max_local_y = np.argmax(specy_avg[window_y_start:window_y_end])
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Q1_FFTval = window_indices_x[index_max_local_x] / self.NIndex
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Q2_FFTval = window_indices_y[index_max_local_y] / self.NIndex
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pvs.Q1_fft.put(Q1_FFTval)
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pvs.Q2_fft.put(Q2_FFTval)
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Ax_mixed = Ax.transpose()
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Ay_mixed = Ay.transpose()
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Ax_mixed = Ax_mixed.flatten()
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Ay_mixed = Ay_mixed.flatten()
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Q1_naff = np.nan
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Q2_naff = np.nan
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if self.naff_onoff:
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h1_naff, _, _ = nafflib.get_tunes(Ax_mixed, self.naff_Nharmonics)
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h2_naff, _, _ = nafflib.get_tunes(Ay_mixed, self.naff_Nharmonics)
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h1_naff = h1_naff * self.NBPMs
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h2_naff = h2_naff * self.NBPMs
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Q1_naff = np.mod(h1_naff, 1)
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Q2_naff = np.mod(h2_naff, 1)
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Q1_naff[Q1_naff > 0.5] = (
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1 - Q1_naff[Q1_naff > 0.5]
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) # above-half integer peak found. Going down.
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Q2_naff[Q2_naff > 0.5] = 1 - Q2_naff[Q2_naff > 0.5]
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Q1_naff = Q1_naff[(Q1_naff >= Q1_FFTval - 0.01) & (Q1_naff <= Q1_FFTval + 0.01)]
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Q2_naff = Q2_naff[(Q2_naff >= Q2_FFTval - 0.01) & (Q2_naff <= Q2_FFTval + 0.01)]
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if len(Q1_naff) == 0:
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Q1_naff = np.nan
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else:
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Q1_naff = np.mean(Q1_naff)
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if len(Q2_naff) == 0:
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Q2_naff = np.nan
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else:
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Q2_naff = np.mean(Q2_naff)
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# if self.NBPMs == 1:
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# integerX = 0
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# integerY = 0
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# else:
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# integerX = 39
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# integerY = 15
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# dh1 = h1_naff*self.NBPMs-(integerX+Q1_FFTval)
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# dh2 = h2_naff*self.NBPMs-(integerY+Q2_FFTval)
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# if min(abs(dh1))>0.5:# correct integer not found. Increasing number of harmonics
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# h1_naff, _, _ = nafflib.get_tunes(Ax_mixed,50)
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# dh1 = h1_naff*self.NBPMs-(integerX+Q1_FFTval)
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# if min(abs(dh2))>0.5:# correct integer not found. Increasing number of harmonics
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# h2_naff, _, _ = nafflib.get_tunes(Ay_mixed,25)
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# dh2 = h2_naff*self.NBPMs-(integerY+Q2_FFTval)
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# Q1_naff = h1_naff[np.argmin(abs(dh1))]*self.NBPMs
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# Q2_naff = h2_naff[np.argmin(abs(dh2))]*self.NBPMs
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pvs.Q1_naff.put(Q1_naff)
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pvs.Q2_naff.put(Q2_naff)
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pvs.specx_all.put(specx_avg)
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pvs.specy_all.put(specy_avg)
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pvs.specx_roi.put(specx_avg[window_x_start - 1 : window_x_end])
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pvs.specy_roi.put(specy_avg[window_y_start - 1 : window_y_end])
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pvs.osc_x.put(Ax[0, :])
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pvs.osc_y.put(Ay[0, :])
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t_end = time()
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pvs.measTime.put((t_end - t_start) * 1e3)
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# callback done
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self.CallbackFired = 0
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#######################################################################################
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#######################################################################################
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# here goes all the code that your service
|
||||
# is supposed to be running in any case, e.g.,
|
||||
|
||||
# update some pvs/vals
|
||||
my_pv1_random_val = str(time.clock_gettime_ns(0))[-1]
|
||||
self.pvs.my_pv1.put(my_pv1_random_val)
|
||||
# self.pvs.my_pv2.put("MY_PV2 value")
|
||||
|
||||
# get some pvs/vals
|
||||
self.val1 = self.pvs.my_pv1.get()
|
||||
self.val2 = self.pvs.my_pv2.get()
|
||||
|
||||
# maybe sleep to limit the update loop execution rate
|
||||
time.sleep(1)
|
||||
#######################################################################################
|
||||
#######################################################################################
|
||||
|
||||
Generated
+167
-1
@@ -30,6 +30,10 @@ version = "0.1.0"
|
||||
source = { editable = "." }
|
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dependencies = [
|
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{ name = "agebd" },
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|
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{ name = "numpy" },
|
||||
{ name = "scikit-learn" },
|
||||
{ name = "scipy" },
|
||||
]
|
||||
|
||||
[package.dev-dependencies]
|
||||
@@ -40,7 +44,13 @@ dev = [
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
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|
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|
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|
||||
[[package]]
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/c5/2b/ceee1cdc263617109d514ac4d1b31f10a282662740ff7d5777baae25b3b5/llvmlite-0.48.0-cp310-cp310-win_amd64.whl", hash = "sha256:02853fe4214acb3780fc920c3fee10564b61d58a35e1b78afcc8a546c2deaba3", size = 41864734, upload-time = "2026-07-01T18:41:14.746Z" },
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||||
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|
||||
|
||||
[[package]]
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||||
name = "markdown-it-py"
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@@ -127,6 +158,33 @@ wheels = [
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|
||||
[[package]]
|
||||
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|
||||
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|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "numba" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pandas" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/01/0d/3d563dfc173916d5c0cc1fe614cdf312877540b9cea5bcd50a271ba5f6a3/nafflib-2.1.1.tar.gz", hash = "sha256:e4c67224c01db4b694d8f9c73c5b878178d80379ad99ae89adb4cce21ededd9b", size = 22926, upload-time = "2025-11-22T15:47:22.152Z" }
|
||||
|
||||
[[package]]
|
||||
name = "numba"
|
||||
version = "0.66.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "llvmlite" },
|
||||
{ name = "numpy" },
|
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|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ae/a0/570e3dc53e5602b49108f62a13e529f1eec8bfc7ef37d49c825924dcf546/numba-0.66.0.tar.gz", hash = "sha256:b900e63a0e26c05ea9a6d5a3a5a0a177cb64c5011887bf43edb8c3ed2c38d363", size = 2806181, upload-time = "2026-07-01T23:12:46.36Z" }
|
||||
wheels = [
|
||||
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{ url = "https://files.pythonhosted.org/packages/36/e4/b780bfa9191410da50ba249cb3248a75014e17f611e72709cbddcb21f42d/numba-0.66.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc408c54b450f41582f4be1608f8981c1dcc44c7f40355cc150dd93015753407", size = 3803554, upload-time = "2026-07-01T23:12:06.379Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/1c/b2/a051b96626bdf5c4d8fa6b8d450605c09638d85dc872ab63ef9a67096dca/numba-0.66.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7c14c044c06b453ec3fa7715dfe75425e2ba72c73377a7ffde6d9ec511dfd94c", size = 3510065, upload-time = "2026-07-01T23:12:08.051Z" },
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{ url = "https://files.pythonhosted.org/packages/34/01/24dcdc3e919522e2efbd92969c281ff40deb1d5f8a994bcd0057081c158c/numba-0.66.0-cp310-cp310-win_amd64.whl", hash = "sha256:2338cc0d43609fe448930848fd35a5bc688761b986f81b597a6f45cc0f8c9577", size = 2780379, upload-time = "2026-07-01T23:12:09.772Z" },
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|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
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|
||||
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||||
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||||
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|
||||
|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
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||||
wheels = [
|
||||
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/1d/03/3fc4a529a7710f890a239cc496fc6d50ad4a0995657dccc1d64695adb9f4/pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1", size = 12148791, upload-time = "2025-09-29T23:17:18.444Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/40/a8/4dac1f8f8235e5d25b9955d02ff6f29396191d4e665d71122c3722ca83c5/pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838", size = 12769373, upload-time = "2025-09-29T23:17:35.846Z" },
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||||
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||||
|
||||
[[package]]
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||||
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||||
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||||
[[package]]
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||||
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|
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[[package]]
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||||
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[[package]]
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[[package]]
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[[package]]
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]
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Reference in New Issue
Block a user