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daq_macros.py
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daq_macros.py
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import Gen_Commands
import Gen_Traj_Square
import beamline_support
from beamline_support import getPvValFromDescriptor as getPvDesc, setPvValFromDescriptor as setPvDesc
import beamline_lib #did this really screw me if I imported b/c of daq_utils import??
import daq_lib
import daq_utils
import db_lib
from daq_utils import getBlConfig, setBlConfig
from utils.raster import get_raster_max_col, get_flattened_indices_of_max_col
import det_lib
import math
import time
import glob
import xmltodict
from start_bs import *
import super_state_machine
import _thread
import parseSheet
import attenCalc
import raddoseLib
import robot_lib
from raddoseLib import *
import logging
logger = logging.getLogger(__name__)
import os #for runDozorThread
import numpy as np # for runDozorThread
from string import Template
from collections import OrderedDict
from threading import Thread
from config_params import *
from ophyd.status import SubscriptionStatus
from ophyd.utils import WaitTimeoutError
from kafka_producer import send_kafka_message
import gov_lib
import urllib.request
import io
from scans import (zebra_daq_prep, setup_zebra_vector_scan,
setup_zebra_vector_scan_for_raster,
setup_vector_program)
import bluesky.plan_stubs as bps
import bluesky.plans as bp
from bluesky.preprocessors import finalize_wrapper
from bluesky.log import config_bluesky_logging
config_bluesky_logging(level='INFO')
from fmx_annealer import govStatusGet, govStateSet, fmxAnnealer, amxAnnealer # for using annealer specific to FMX and AMX
from config_params import ON_MOUNT_OPTION, OnMountAvailOptions, BEAMSIZE_OPTIONS
from mxbluesky.plans import detect_loop, topview_optimized
if daq_utils.beamline == 'fmx':
from setenergy_lsdc import setELsdc
try:
import ispybLib
except Exception as e:
logger.error("daq_macros: ISPYB import error, %s" % e)
from XSDataMXv1 import XSDataResultCharacterisation
global rasterRowResultsList, processedRasterRowCount
global ednaActiveFlag
ednaActiveFlag = 0
global autoRasterFlag
autoRasterFlag = 0
rasterRowResultsList = []
global autoVectorFlag, autoVectorCoarseCoords
autoVectorCoarseCoords = {}
autoVectorFlag=False
max_col = None
face_on_max_coords = None
ortho_max_coords = None
C3D_SEARCH_BASE = f'{os.environ["PROJDIR"]}/software/c3d/c3d_search -p=$CONFIGDIR/'
IMAGES_PER_FILE = 500 # default images per HDF5 data file for Eiger
EXTERNAL_TRIGGER = 2 # external trigger for detector
#12/19 - general comments. This file takes the brunt of the near daily changes and additions the scientists request. Some duplication and sloppiness reflects that.
# I'm going to leave a lot of the commented lines in, since they might shed light on things or be useful later.
def hi_macro():
logger.info("hello from macros\n")
daq_lib.broadcast_output("broadcast hi")
def BS():
movr(omega,40)
def BS2():
ascan(omega,0,100,10)
def abortBS():
if (RE.state != "idle"):
try:
RE.abort()
except super_state_machine.errors.TransitionError:
logger.error("caught BS")
def set_energy(energy):
try:
daq_lib.set_field("program_state","Setting Energy")
RE(setELsdc(energy))
except Exception as e:
logger.error(f"Exception while running set_energy: {e}")
daq_lib.set_field("program_state","Program Ready")
def move_omega(omega, relative=True):
"""Moves omega by a certain amount"""
if gov_robot.state.get() == "SA":
if relative:
RE(bps.mvr(gonio.omega, omega))
else:
RE(bps.mv(gonio.omega, omega))
def changeImageCenterLowMag(x,y,czoom):
zoom = int(czoom)
zoomMinXRBV = getPvDesc("lowMagZoomMinXRBV")
zoomMinYRBV = getPvDesc("lowMagZoomMinYRBV")
minXRBV = getPvDesc("lowMagMinXRBV")
minYRBV = getPvDesc("lowMagMinYRBV")
sizeXRBV = getPvDesc("lowMagZoomSizeXRBV")
sizeYRBV = getPvDesc("lowMagZoomSizeYRBV")
sizeXRBV = 640.0
sizeYRBV = 512.0
roiSizeXRBV = getPvDesc("lowMagROISizeXRBV")
roiSizeYRBV = getPvDesc("lowMagROISizeYRBV")
roiSizeZoomXRBV = getPvDesc("lowMagZoomROISizeXRBV")
roiSizeZoomYRBV = getPvDesc("lowMagZoomROISizeYRBV")
inputSizeZoomXRBV = getPvDesc("lowMagZoomMaxSizeXRBV")
inputSizeZoomYRBV = getPvDesc("lowMagZoomMaxSizeYRBV")
inputSizeXRBV = getPvDesc("lowMagMaxSizeXRBV")
inputSizeYRBV = getPvDesc("lowMagMaxSizeYRBV")
x_click = float(x)
y_click = float(y)
binningFactor = 2.0
if (zoom):
xclickFullFOV = x_click + zoomMinXRBV
yclickFullFOV = y_click + zoomMinYRBV
else:
binningFactor = 2.0
xclickFullFOV = (x_click * binningFactor) + minXRBV
yclickFullFOV = (y_click * binningFactor) + minYRBV
new_minXZoom = xclickFullFOV-(sizeXRBV/2.0)
new_minYZoom = yclickFullFOV-(sizeYRBV/2.0)
new_minX = new_minXZoom - (sizeXRBV/2.0)
new_minY = new_minYZoom - (sizeYRBV/2.0)
noZoomCenterX = sizeXRBV/2.0
noZoomCenterY = sizeYRBV/2.0
if (new_minX < 0):
new_minX = 0
noZoomCenterX = (new_minXZoom+(sizeXRBV/2.0))/binningFactor
if (new_minY < 0):
new_minY = 0
noZoomCenterY = (new_minYZoom+(sizeYRBV/2.0))/binningFactor
if (new_minX+roiSizeXRBV>inputSizeXRBV):
new_minX = inputSizeXRBV-roiSizeXRBV
noZoomCenterX = ((new_minXZoom+(sizeXRBV/2.0)) - new_minX)/binningFactor
if (new_minY+roiSizeYRBV>inputSizeYRBV):
new_minY = inputSizeYRBV-roiSizeYRBV
noZoomCenterY = ((new_minYZoom+(sizeYRBV/2.0)) - new_minY)/binningFactor
if (new_minXZoom+roiSizeZoomXRBV>inputSizeZoomXRBV):
new_minXZoom = inputSizeZoomXRBV-roiSizeZoomXRBV
if (new_minXZoom < 0):
new_minXZoom = 0
setPvDesc("lowMagZoomMinX",new_minXZoom)
if (new_minYZoom+roiSizeZoomYRBV>inputSizeZoomYRBV):
new_minYZoom = inputSizeZoomYRBV-roiSizeZoomYRBV
if (new_minYZoom < 0):
new_minYZoom = 0
setPvDesc("lowMagZoomMinY",new_minYZoom)
setPvDesc("lowMagMinX",new_minX)
setPvDesc("lowMagMinY",new_minY)
setPvDesc("lowMagCursorX",noZoomCenterX)
setPvDesc("lowMagCursorY",noZoomCenterY)
def changeImageCenterHighMag(x,y,czoom):
zoom = int(czoom)
zoomMinXRBV = getPvDesc("highMagZoomMinXRBV")
zoomMinYRBV = getPvDesc("highMagZoomMinYRBV")
minXRBV = getPvDesc("highMagMinXRBV")
minYRBV = getPvDesc("highMagMinYRBV")
sizeXRBV = getPvDesc("highMagZoomSizeXRBV")
sizeYRBV = getPvDesc("highMagZoomSizeYRBV")
sizeXRBV = 640.0
sizeYRBV = 512.0
roiSizeXRBV = getPvDesc("highMagROISizeXRBV")
roiSizeYRBV = getPvDesc("highMagROISizeYRBV")
roiSizeZoomXRBV = getPvDesc("highMagZoomROISizeXRBV")
roiSizeZoomYRBV = getPvDesc("highMagZoomROISizeYRBV")
inputSizeZoomXRBV = getPvDesc("highMagZoomMaxSizeXRBV")
inputSizeZoomYRBV = getPvDesc("highMagZoomMaxSizeYRBV")
inputSizeXRBV = getPvDesc("highMagMaxSizeXRBV")
inputSizeYRBV = getPvDesc("highMagMaxSizeYRBV")
x_click = float(x)
y_click = float(y)
binningFactor = 2.0
if (zoom):
xclickFullFOV = x_click + zoomMinXRBV
yclickFullFOV = y_click + zoomMinYRBV
else:
binningFactor = 2.0
xclickFullFOV = (x_click * binningFactor) + minXRBV
yclickFullFOV = (y_click * binningFactor) + minYRBV
new_minXZoom = xclickFullFOV-(sizeXRBV/2.0)
new_minYZoom = yclickFullFOV-(sizeYRBV/2.0)
new_minX = new_minXZoom - (sizeXRBV/2.0)
new_minY = new_minYZoom - (sizeYRBV/2.0)
noZoomCenterX = sizeXRBV/2.0
noZoomCenterY = sizeYRBV/2.0
if (new_minX < 0):
new_minX = 0
noZoomCenterX = (new_minXZoom+(sizeXRBV/2.0))/binningFactor
if (new_minY < 0):
new_minY = 0
noZoomCenterY = (new_minYZoom+(sizeYRBV/2.0))/binningFactor
if (new_minX+roiSizeXRBV>inputSizeXRBV):
new_minX = inputSizeXRBV-roiSizeXRBV
noZoomCenterX = ((new_minXZoom+(sizeXRBV/2.0)) - new_minX)/binningFactor
if (new_minY+roiSizeYRBV>inputSizeYRBV):
new_minY = inputSizeYRBV-roiSizeYRBV
noZoomCenterY = ((new_minYZoom+(sizeYRBV/2.0)) - new_minY)/binningFactor
if (new_minXZoom+roiSizeZoomXRBV>inputSizeZoomXRBV):
new_minXZoom = inputSizeZoomXRBV-roiSizeZoomXRBV
if (new_minXZoom < 0):
new_minXZoom = 0
if (new_minYZoom+roiSizeZoomYRBV>inputSizeZoomYRBV):
new_minYZoom = inputSizeZoomYRBV-roiSizeZoomYRBV
if (new_minYZoom < 0):
new_minYZoom = 0
setPvDesc("highMagZoomMinX",new_minXZoom)
setPvDesc("highMagZoomMinY",new_minYZoom)
setPvDesc("highMagMinX",new_minX)
setPvDesc("highMagMinY",new_minY)
setPvDesc("highMagCursorX",noZoomCenterX)
setPvDesc("highMagCursorY",noZoomCenterY)
sample_detection = {
"sample_detected": False,
"large_box_width": 0,
"large_box_height": 0,
"small_box_height": 0,
"center_x" : 0,
"center_y" : 0,
"center_z" : 0,
"face_on_omega" : 0
}
def run_robot_recovery_procedure():
""" Generic recovery procedure to be used during automated
collection"""
# Recover robot
robot_lib.recoverRobot()
# Dry Gripper
robot_lib.dryGripper()
# Park Gripper and cool gripper
robot_lib.cooldownGripper()
def run_top_view_optimized():
RE(topview_optimized())
def run_on_mount_option(sample_id):
option = OnMountAvailOptions(daq_utils.getBlConfig(ON_MOUNT_OPTION))
logger.info(f"Running on mount option : {option}")
request = {}
if option == OnMountAvailOptions.DO_NOTHING:
return
if (option == OnMountAvailOptions.CENTER_SAMPLE
or option == OnMountAvailOptions.AUTO_RASTER):
# Center using ML model
run_loop_center_plan()
if option == OnMountAvailOptions.AUTO_RASTER:
# Set up a fake standard collection for autoRasterLoop
request = {"sample": sample_id,
"uid": -1,
"request_obj": {
"xbeam": getPvDesc('beamCenterX'),
"ybeam": getPvDesc('beamCenterY'),
"wavelength": daq_utils.energy2wave(beamline_lib.motorPosFromDescriptor("energy"), digits=6)
}
}
autoRasterLoop(request)
def run_loop_center_plan():
if daq_utils.beamline == "fmx":
# Run xrec for FMX, they don't have a top cam
retries = 3
while retries:
success = loop_center_xrec()
if not success:
retries -= 1
else:
retries = 0
RE(loop_center_plan())
def loop_center_plan():
global sample_detection
if gov_robot.state.get() == 'M':
bps.sleep(15)
if gov_robot.state.get() == "SE":
gov_status = gov_lib.setGovRobot(gov_robot, 'SA')
if gov_status.success:
yield from detect_loop(sample_detection)
else:
print("could not transition to SA")
else:
yield from detect_loop(sample_detection)
def autoRasterLoop(currentRequest):
global sample_detection, autoRasterFlag, max_col, face_on_max_coords, ortho_max_coords
if sample_detection["sample_detected"]:
setTrans(getBlConfig("rasterDefaultTrans"))
daq_lib.set_field("xrecRasterFlag","100")
logger.info("auto raster " + str(currentRequest["sample"]))
logger.info(f"sample detection : {sample_detection}")
# time.sleep(1)
autoRasterFlag = 1
# Before collecting the 1st raster, reset max_col and face_on_max_coords
max_col = None
face_on_max_coords = None
ortho_max_coords = None
step_size = 10
if sample_detection["large_box_width"] * sample_detection["large_box_height"] > 150_000:
step_size = 20
runRasterScan(currentRequest, rasterType="Custom",
width=sample_detection["large_box_width"],
height=sample_detection["large_box_height"], step_size=step_size)
logger.info(f"AUTORASTER LOOP: {max_col} {face_on_max_coords}")
if not face_on_max_coords:
autoRasterFlag = 0
if daq_utils.beamline == 'fmx':
gov_status = gov_lib.setGovRobot(gov_robot, 'SA')
return 0
RE(bps.mv(gonio.gx, sample_detection["center_x"],
gonio.py, sample_detection["center_y"],
gonio.pz, sample_detection["center_z"]))
runRasterScan(currentRequest, rasterType="Custom",
width=sample_detection["large_box_width"],
height=sample_detection["small_box_height"],
step_size=step_size,
omega_rel=90)
# Gonio should be at the hot cell for the ortho raster.
# Now move to the hot cell of the face on raster, then start standard collection
if not ortho_max_coords:
autoRasterFlag = 0
if daq_utils.beamline == 'fmx':
gov_status = gov_lib.setGovRobot(gov_robot, 'SA')
return 0
logger.info(f"AUTORASTER LOOP: {face_on_max_coords=} {ortho_max_coords=}")
logger.info(f"AUTORASTER LOOP: {sample_detection=} {max_col=}")
_, y_f, z_f = face_on_max_coords
_, y_ort, z_ort = ortho_max_coords
y_center, z_center = sample_detection["center_y"], sample_detection["center_z"]
omega_face_on = sample_detection["face_on_omega"]
omega_ortho = (sample_detection["face_on_omega"] + 90)
r_f = (y_f - y_center)*np.cos(np.deg2rad(omega_face_on)) + (z_f - z_center)*np.sin(np.deg2rad(omega_face_on))
r_o = (y_ort - y_center)*np.cos(np.deg2rad(omega_ortho)) + (z_ort - z_center)*np.sin(np.deg2rad(omega_ortho))
logger.info(f"AUTORASTER LOOP: {r_f=} {r_o=}")
r = np.array([[r_f],[r_o]])
A = np.matrix([[np.cos(np.deg2rad(omega_face_on)), np.sin(np.deg2rad(omega_face_on))],[np.cos(np.deg2rad(omega_ortho)), np.sin(np.deg2rad(omega_ortho))]])
logger.info(f"AUTORASTER LOOP: {A=}")
yz = np.linalg.inv(A)*r
delta_y, delta_z = yz[0,0], yz[1,0]
logger.info(f"AUTORASTER LOOP: {yz=}")
final_y = y_center + delta_y
final_z = z_center + delta_z
logger.info(f"AUTORASTER LOOP: {final_y=} {final_z=}")
RE(bps.mv(gonio.py, final_y, gonio.pz, final_z))
autoRasterFlag = 0
return 1
else:
return 0
def autoRasterLoopOld(currentRequest):
global autoRasterFlag
gov_status = gov_lib.setGovRobot(gov_robot, 'SA')
if not gov_status.success:
return 0
if (getBlConfig("queueCollect") == 1):
delayTime = getBlConfig("autoRasterDelay")
time.sleep(delayTime)
reqObj = currentRequest["request_obj"]
if ("centeringOption" in reqObj):
if (reqObj["centeringOption"] == "AutoLoop"):
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
time.sleep(2.0)
status = loop_center_xrec()
return status
setTrans(getBlConfig("rasterDefaultTrans"))
daq_lib.set_field("xrecRasterFlag","100")
sampleID = currentRequest["sample"]
logger.info("auto raster " + str(sampleID))
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
time.sleep(2.0)
status = loop_center_xrec()
if (status == -99): #abort, never hit this
db_lib.updatePriority(currentRequest["uid"],5000)
return 0
if not (status):
return 0
time.sleep(2.0) #looks like I really need this sleep, they really improve the appearance
runRasterScan(currentRequest,"Coarse")
time.sleep(1.5)
loop_center_mask()
time.sleep(1)
autoRasterFlag = 1
runRasterScan(currentRequest,"Fine")
time.sleep(1)
runRasterScan(currentRequest,"Line")
gov_lib.setGovRobot(gov_robot, 'DI')
time.sleep(1)
autoRasterFlag = 0
return 1
def autoVector(currentRequest): #12/19 - not tested!
global autoVectorFlag
gov_status = gov_lib.setGovRobot(gov_robot, 'SA')
if not gov_status.success:
return 0
reqObj = currentRequest["request_obj"]
daq_lib.set_field("xrecRasterFlag","100")
sampleID = currentRequest["sample"]
logger.info("auto raster " + str(sampleID))
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",1000)
status = loop_center_xrec()
time.sleep(2.0)
status = loop_center_xrec()
if (status == -99): #abort, never hit this
db_lib.updatePriority(currentRequest["uid"],5000)
return 0
if not (status):
return 0
time.sleep(2.0) #looks like I really need this sleep, they really improve the appearance
autoVectorFlag = True
runRasterScan(currentRequest,"autoVector")
logger.info("autovec coarse coords 1")
logger.info(autoVectorCoarseCoords)
x1Start = autoVectorCoarseCoords["start"]["x"]
y1Start = autoVectorCoarseCoords["start"]["y"]
z1Start = autoVectorCoarseCoords["start"]["z"]
x1End = autoVectorCoarseCoords["end"]["x"]
y1End = autoVectorCoarseCoords["end"]["y"]
z1End = autoVectorCoarseCoords["end"]["z"]
loop_center_mask()
time.sleep(1)
runRasterScan(currentRequest,"autoVector")
autoVectorFlag = False
logger.info("autovec coarse coords 2")
logger.info(autoVectorCoarseCoords)
x2Start = autoVectorCoarseCoords["start"]["x"]
y2Start = autoVectorCoarseCoords["start"]["y"]
z2Start = autoVectorCoarseCoords["start"]["z"]
x2End = autoVectorCoarseCoords["end"]["x"]
y2End = autoVectorCoarseCoords["end"]["y"]
z2End = autoVectorCoarseCoords["end"]["z"]
x_vec_start = min(x1Start,x2Start)
y_vec_start = (y1Start+y2Start)/2.0
z_vec_start = (z1Start+z2Start)/2.0
x_vec_end = max(x1End,x2End)
y_vec_end = (y1End+y2End)/2.0
z_vec_end = (z1End+z2End)/2.0
vectorStart = {"x":x_vec_start,"y":y_vec_start,"z":z_vec_start}
vectorEnd = {"x":x_vec_end,"y":y_vec_end,"z":z_vec_end}
x_vec = x_vec_end - x_vec_start
y_vec = y_vec_end - y_vec_start
z_vec = z_vec_end - z_vec_start
trans_total = math.sqrt(x_vec**2 + y_vec**2 + z_vec**2)
framesPerPoint = 1
vectorParams={"vecStart":vectorStart,"vecEnd":vectorEnd,"x_vec":x_vec,"y_vec":y_vec,"z_vec":z_vec,"trans_total":trans_total,"fpp":framesPerPoint}
reqObj["vectorParams"] = vectorParams
reqObj["centeringOption"] = "Interactive" #kind of kludgy so that collectData doesn't go rastering for vector params again
currentRequest["request_obj"] = reqObj
db_lib.updateRequest(currentRequest)
daq_lib.collectData(currentRequest)
gov_lib.setGovRobot(gov_robot, 'SA')
return 1
def rasterScreen(currentRequest):
if (daq_utils.beamline == "fmx" and getBlConfig("scannerType") == "PI"):
gridRaster(currentRequest)
return
daq_lib.set_field("xrecRasterFlag","100")
sampleID = currentRequest["sample"]
reqObj = currentRequest["request_obj"]
gridStep = reqObj["gridStep"]
logger.info("rasterScreen " + str(sampleID))
time.sleep(20)
status = loop_center_xrec()
if (status== 0):
beamline_lib.mvrDescriptor("sampleX",200)
status = loop_center_xrec()
time.sleep(2.0)
status = loop_center_xrec()
if not (status):
return 0
time.sleep(1) #looks like I really need this sleep, they really improve the appearance
loopSize = getLoopSize()
if (loopSize != []):
rasterW = 1.5 * screenXPixels2microns(loopSize[1])
rasterH = 2.5 * screenXPixels2microns(loopSize[0])
if (rasterH > (1.2 * rasterW)): # for c3d error
rasterW = 630
rasterH = 510
else:
rasterW = 630
rasterH = 510
rasterReqID = defineRectRaster(currentRequest,rasterW,rasterH,gridStep)
db_lib.updatePriority(rasterReqID, -1)
RE(snakeRaster(rasterReqID))
def multiCol(currentRequest):
daq_lib.set_field("xrecRasterFlag","100")
sampleID = currentRequest["sample"]
logger.info("multiCol " + str(sampleID))
status = loop_center_xrec()
if not (status):
return 0
time.sleep(1) #looks like I really need this sleep, they really improve the appearance
runRasterScan(currentRequest,"Coarse")
def loop_center_xrec_slow():
global face_on
daq_lib.abort_flag = 0
for i in range(0,360,40):
if (daq_lib.abort_flag == 1):
logger.info("caught abort in loop center")
return 0
beamline_lib.mvaDescriptor("omega",i)
pic_prefix = "findloop_" + str(i)
time.sleep(1.5) #for video lag. This sucks
daq_utils.take_crystal_picture(filename=pic_prefix)
comm_s = "xrec " + os.environ["CONFIGDIR"] + "/xrec_360_40.txt xrec_result.txt"
logger.info(comm_s)
os.system(comm_s)
xrec_out_file = open("xrec_result.txt","r")
target_angle = 0.0
radius = 0
x_centre = 0
y_centre = 0
reliability = 0
for result_line in xrec_out_file.readlines():
logger.info(result_line)
tokens = result_line.split()
tag = tokens[0]
val = tokens[1]
if (tag == "TARGET_ANGLE"):
target_angle = float(val )
elif (tag == "RADIUS"):
radius = float(val )
elif (tag == "Y_CENTRE"):
y_centre_xrec = float(val )
elif (tag == "X_CENTRE"):
x_centre_xrec = float(val )
elif (tag == "RELIABILITY"):
reliability = int(val )
elif (tag == "FACE"):
face_on = float(tokens[3])
xrec_out_file.close()
xrec_check_file = open("Xrec_check.txt","r")
check_result = int(xrec_check_file.read(1))
logger.info("result = " + str(check_result))
xrec_check_file.close()
if (reliability < 70 or check_result == 0): #bail if xrec couldn't align loop
return 0
beamline_lib.mvaDescriptor("omega",target_angle)
x_center = getPvDesc("lowMagCursorX")
y_center = getPvDesc("lowMagCursorY")
logger.info("center on click " + str(x_center) + " " + str(y_center-radius))
logger.info("center on click " + str((x_center*2) - y_centre_xrec) + " " + str(x_centre_xrec))
fovx = daq_utils.lowMagFOVx
fovy = daq_utils.lowMagFOVy
daq_lib.center_on_click(x_center,y_center-radius,fovx,fovy,source="macro")
daq_lib.center_on_click((x_center*2) - y_centre_xrec,x_centre_xrec,fovx,fovy,source="macro")
beamline_lib.mvaDescriptor("omega",face_on)
#now try to get the loopshape starting from here
return 1
def generateRasterCoords4Traj(rasterRequest):
reqObj = rasterRequest["request_obj"]
exptimePerCell = reqObj["exposure_time"]
rasterDef = reqObj["rasterDef"]
stepsize = float(rasterDef["stepsize"])
omega = float(rasterDef["omega"])
rasterStartX = float(rasterDef["x"])
rasterStartY = float(rasterDef["y"])
rasterStartZ = float(rasterDef["z"])
omegaRad = math.radians(omega)
rasterCellMap = {}
numsteps = float(rasterDef["rowDefs"][0]["numsteps"])
columns = numsteps
rows = len(rasterDef["rowDefs"])
firstRow = rasterDef["rowDefs"][0]
sx1 = firstRow["start"]["x"] #startX
sy1 = firstRow["start"]["y"]
logger.info("start x,y")
logger.info(sx1)
logger.info(sy1)
#9/18 - I think these are crap, but will leave them
xRelativeMove = sx1
yzRelativeMove = sy1*math.sin(omegaRad)
yyRelativeMove = sy1*cos(omegaRad)
xMotAbsoluteMove1 = xRelativeMove
yMotAbsoluteMove1 = yyRelativeMove
zMotAbsoluteMove1 = yzRelativeMove
lastRow= rasterDef["rowDefs"][-1]
ex1 = lastRow["end"]["x"] #endX
ey1 = lastRow["end"]["y"]
logger.info("end x,y")
logger.info(ex1)
logger.info(ey1)
deltax = ex1-sx1
deltay = ey1-sy1
xMotAbsoluteMove1 = -(deltax/2.0)
xMotAbsoluteMove2 = (deltax/2.0)
yMotAbsoluteMove1 = -(deltay/2.0)*math.cos(omegaRad)
yMotAbsoluteMove2 = (deltay/2.0)*math.cos(omegaRad)
zMotAbsoluteMove1 = -(deltay/2.0)*math.sin(omegaRad)
zMotAbsoluteMove2 = (deltay/2.0)*math.sin(omegaRad)
logger.info(xMotAbsoluteMove1)
logger.info(yMotAbsoluteMove1)
logger.info(zMotAbsoluteMove1)
logger.info(xMotAbsoluteMove2)
logger.info(yMotAbsoluteMove2)
logger.info(zMotAbsoluteMove2)
logger.info(stepsize)
genTraj = Gen_Traj_Square.gen_traj_square(xMotAbsoluteMove1, xMotAbsoluteMove2, yMotAbsoluteMove2, yMotAbsoluteMove1, zMotAbsoluteMove2, zMotAbsoluteMove1, columns,rows)
Gen_Commands.gen_commands(genTraj,exptimePerCell)
def generateGridMap(rasterRequest,rasterEncoderMap=None): #12/19 - there's some dials vs dozor stuff in here
global rasterRowResultsList
reqObj = rasterRequest["request_obj"]
rasterDef = reqObj["rasterDef"]
stepsize = float(rasterDef["stepsize"])
omega = float(rasterDef["omega"])
rasterStartX = float(rasterDef["x"])
rasterStartY = float(rasterDef["y"])
rasterStartZ = float(rasterDef["z"])
omegaRad = math.radians(omega)
filePrefix = reqObj["directory"]+"/"+reqObj["file_prefix"]
rasterCellMap = {}
os.system("mkdir -p " + reqObj["directory"])
for i in range(len(rasterDef["rowDefs"])):
numsteps = float(rasterDef["rowDefs"][i]["numsteps"])
#next 6 lines to differentiate horizontal vs vertical raster
startX = rasterDef["rowDefs"][i]["start"]["x"]
endX = rasterDef["rowDefs"][i]["end"]["x"]
startY = rasterDef["rowDefs"][i]["start"]["y"]
endY = rasterDef["rowDefs"][i]["end"]["y"]
deltaX = abs(endX-startX)
deltaY = abs(endY-startY)
if ((deltaX != 0) and (deltaX>deltaY or not getBlConfig("vertRasterOn"))): #horizontal raster
if (i%2 == 0): #left to right if even, else right to left - a snake attempt
startX = rasterDef["rowDefs"][i]["start"]["x"]+(stepsize/2.0) #this is relative to center, so signs are reversed from motor movements.
else:
startX = (numsteps*stepsize) + rasterDef["rowDefs"][i]["start"]["x"]-(stepsize/2.0)
startY = rasterDef["rowDefs"][i]["start"]["y"]+(stepsize/2.0)
xRelativeMove = startX
yzRelativeMove = startY*math.sin(omegaRad)
yyRelativeMove = startY*math.cos(omegaRad)
xMotAbsoluteMove = rasterStartX+xRelativeMove
yMotAbsoluteMove = rasterStartY-yyRelativeMove
zMotAbsoluteMove = rasterStartZ-yzRelativeMove
numsteps = int(rasterDef["rowDefs"][i]["numsteps"])
for j in range(numsteps):
imIndexStr = str((i*numsteps)+j+1)
if (i%2 == 0): #left to right if even, else right to left - a snake attempt
xMotCellAbsoluteMove = xMotAbsoluteMove+(j*stepsize)
else:
xMotCellAbsoluteMove = xMotAbsoluteMove-(j*stepsize)
cellMapKey = 'cellMap_{}'.format(imIndexStr)
rasterCellCoords = {"x":xMotCellAbsoluteMove,"y":yMotAbsoluteMove,"z":zMotAbsoluteMove}
rasterCellMap[cellMapKey] = rasterCellCoords
else: #vertical raster
if (i%2 == 0): #top to bottom if even, else bottom to top - a snake attempt
startY = rasterDef["rowDefs"][i]["start"]["y"]+(stepsize/2.0) #this is relative to center, so signs are reversed from motor movements.
else:
startY = (numsteps*stepsize) + rasterDef["rowDefs"][i]["start"]["y"]-(stepsize/2.0)
startX = rasterDef["rowDefs"][i]["start"]["x"]+(stepsize/2.0)
xRelativeMove = startX
yzRelativeMove = startY*math.sin(omegaRad)
yyRelativeMove = startY*math.cos(omegaRad)
xMotAbsoluteMove = rasterStartX+xRelativeMove
yMotAbsoluteMove = rasterStartY-yyRelativeMove
zMotAbsoluteMove = rasterStartZ-yzRelativeMove
numsteps = int(rasterDef["rowDefs"][i]["numsteps"])
for j in range(numsteps):
imIndexStr = str((i*numsteps)+j+1)
if (i%2 == 0): #top to bottom if even, else bottom to top - a snake attempt
yMotCellAbsoluteMove = yMotAbsoluteMove-(math.cos(omegaRad)*(j*stepsize))
zMotCellAbsoluteMove = zMotAbsoluteMove-(math.sin(omegaRad)*(j*stepsize))
else:
yMotCellAbsoluteMove = yMotAbsoluteMove+(math.cos(omegaRad)*(j*stepsize))
zMotCellAbsoluteMove = zMotAbsoluteMove+(math.sin(omegaRad)*(j*stepsize))
cellMapKey = 'cellMap_{}'.format(imIndexStr)
rasterCellCoords = {"x":xMotAbsoluteMove,"y":yMotCellAbsoluteMove,"z":zMotCellAbsoluteMove}
rasterCellMap[cellMapKey] = rasterCellCoords
#commented out all of the processing, as this should have been done by the thread
if (rasterEncoderMap!= None):
rasterCellMap = rasterEncoderMap
if ("parentReqID" in rasterRequest["request_obj"]):
parentReqID = rasterRequest["request_obj"]["parentReqID"]
else:
parentReqID = -1
logger.info("RASTER CELL RESULTS")
dialsResultLocalList = []
for i in range (0,len(rasterRowResultsList)):
for j in range (0,len(rasterRowResultsList[i])):
try:
dialsResultLocalList.append(rasterRowResultsList[i][j])
except KeyError: #this is to deal with single cell row. Instead of getting back a list of one row, I get back just the row from Dials.
dialsResultLocalList.append(rasterRowResultsList[i])
break
rasterResultObj = {"sample_id": rasterRequest["sample"],"parentReqID":parentReqID,"rasterCellMap":rasterCellMap,"rasterCellResults":{"type":"dialsRasterResult","resultObj":dialsResultLocalList}}
rasterResultID = db_lib.addResultforRequest("rasterResult",rasterRequest["uid"], owner=daq_utils.owner,result_obj=rasterResultObj,proposalID=daq_utils.getProposalID(),beamline=daq_utils.beamline)
rasterResult = db_lib.getResult(rasterResultID)
return rasterResult
def rasterWait():
time.sleep(0.2)
while (getPvDesc("RasterActive")):
time.sleep(0.2)
def vectorWait():
time.sleep(0.15)
while (getPvDesc("VectorActive")):
time.sleep(0.05)
def vectorActiveWait():
start_time = time.time()
while (getPvDesc("VectorActive")!=1):
if time.time() - start_time > 3: #if we have waited long enough, just throw an exception
raise TimeoutError()
time.sleep(0.05)
def vectorHoldWait():
time.sleep(0.15)
while (getPvDesc("VectorState")!=2):
time.sleep(0.05)
def vectorProceed():
setPvDesc("vectorProceed",1)
def vectorSync():
setPvDesc("vectorSync",1)
def vectorWaitForGo(source="raster",timeout_trials=3):
while 1:
try:
setPvDesc("vectorGo",1)
vectorActiveWait()
break
except TimeoutError:
timeout_trials -= 1
logger.info('timeout_trials is down to: %s' % timeout_trials)
if not timeout_trials:
message = 'too many errors during %s vectorGo checks' % source
logger.error(message)
raise TimeoutError(message)
def makeDozorRowDir(directory,rowIndex):
"""Makes separate directory for each row for dozor output,
necessary to prevent file overwriting with mult. threads.
Parameters
----------
directory: str
main data directory with .h5 files
rowIndex: int
raster row index starts at 0
Returns
-------
rowDir: str
path to row directory
"""
dozorDir = directory + "/dozor"
rowDir = dozorDir + "/row_{}/".format(rowIndex)
os.system("mkdir -p " + rowDir)
return rowDir
def makeDozorInputFile(directory,prefix,rowIndex,rowCellCount,seqNum,rasterReqObj):
"""Creates input file for dozor that corresponds to an individual
raster row.
Parameters
----------
directory: str
main data directory with .h5 files
prefix: str
sample name from spreadsheet and include _Raster if raster
rowIndex: int
index of row to be processed from raster
rowCellCount: int
number of frames in specified row
seqNum: int
seqNum, not sure why skinner included these (unique id?)
rasterReqObj: dict
describes experimental metadata for raster request used to
set detector distance and beam center for dozor input file
"""
#detector metadata from raster request
orgX = rasterReqObj["xbeam"]
orgY = rasterReqObj["ybeam"]
wavelength = rasterReqObj["wavelength"]
detectorDistance = rasterReqObj["detDist"]
#detector metadata from epics PVs
roiMode = beamline_support.getPvValFromDescriptor("detectorROIMode")
if roiMode == 1:
detector = "eiger4m"
elif daq_utils.beamline in ("amx", "fmx"):
detector = beamline_support.getPvValFromDescriptor("detectorDescription")
detector = ''.join(detector.split()[1::]).lower() #format for dozor
else:
detector = "eiger2-9m"
nx = beamline_support.getPvValFromDescriptor("detectorNx")
ny = beamline_support.getPvValFromDescriptor("detectorNy")
firstImageNumber = int(rowIndex)*int(rowCellCount) + 1
hdf5TemplateImage = "../../{}_{}_??????.h5".format(prefix,seqNum,rowIndex)
daqMacrosPath = os.path.dirname(__file__)
inputTemplate = open(os.path.join(daqMacrosPath,"h5_template.dat"))
src = Template(inputTemplate.read())
dozorRowDir = makeDozorRowDir(directory,rowIndex)
dozorSpotLevel = getBlConfig(RASTER_DOZOR_SPOT_LEVEL)
if daq_utils.beamline == "nyx":
dozorPlugin = "/nsls2/software/mx/nyx/bin/dectris-neggia.so"
else:
dozorPlugin = "/usr/lib64/dectris-neggia.so"
templateDict = {"detector": detector,
"nx": nx,
"ny": ny,
"wavelength": wavelength,
"orgx": orgX,
"orgy": orgY,
"detector_distance": detectorDistance,
"first_image_number": firstImageNumber,
"number_images": rowCellCount,
"spot_level": dozorSpotLevel,
"name_template_image": hdf5TemplateImage,
"processing_plugin": dozorPlugin,}
with open("".join([dozorRowDir,f"h5_row_{rowIndex}.dat"]),"w") as f:
f.write(src.substitute(templateDict))
return dozorRowDir
def dozorOutputToList(dozorRowDir,rowIndex,rowCellCount,pathToMasterH5):
"""Takes a dozor_average.dat file and converts the results into
a list of dictionaries in the format previously implemented
in lsdc for dials.find_spots_client output. Intended for use
on a single row.
Parameters
----------
dozorRowDir: str
path to dozor row directory
rowIndex: int
index of row currently being processed by dozor thread
Returns
-------
localDozorRowList: list
list of dictionaries for input into analysisstore database
"""
dozorDat = str(os.path.join(dozorRowDir,"dozor_average.dat"))
if os.path.isfile(dozorDat):
try:
dozorData = np.genfromtxt(dozorDat,skip_header=3)[:,0:4]
except IndexError:
#in event of single cell raster, 1d array needs 2 dimensions
dozorData = np.genfromtxt(dozorDat,skip_header=3)[0:4]
dozorData = np.reshape(dozorData,(1,4))
else:
dozorData = np.zeros((rowCellCount,4))
dozorData[:,0] = np.arange(start=1,stop=dozorData.shape[0]+1)
logger.info(f"dozor_avg.dat file not found, empty result returned for row {rowIndex}")
dozorData[:,3][dozorData[:,3]==0] = 50 #required for scaling/visualizing res. results
keys = ["image",
"spot_count",
"spot_count_no_ice",
"d_min",
"d_min_method_1",
"d_min_method_2",
"total_intensity",
"cellMapKey"]
localList = []
for cell in range(0,dozorData.shape[0]):
seriesIndex = int(rowCellCount*rowIndex + dozorData[cell,:][0])
values = [(pathToMasterH5,seriesIndex),
dozorData[cell,:][1],
dozorData[cell,:][1],
dozorData[cell,:][3],
dozorData[cell,:][3],
dozorData[cell,:][3],
dozorData[cell,:][1]*dozorData[cell,:][2],
"cellMap_{}".format(seriesIndex)]
localList.append(OrderedDict(zip(keys,values)))
return localList
def runDozorThread(directory,
prefix,
rowIndex,
rowCellCount,
seqNum,
rasterReqObj,
rasterReqID):
"""Creates sub-directory that contains dozor input and output files
that result from master.h5 file in directory. Dozor executed via
ssh on remote node(s).
Parameters
----------
directory: str
path to directory containing .h5 files
prefix: str
includes sample name from spreadsheet and protocol if raster
rowIndex: int
row number to be processed (starts at 0)
seqNum: int
some parameter Skinner included, maybe to avoid duplicate filenames
rasterReqObj: dict
contains experimental metadata, used for setting detector dist and
beam center for dozor input files
rasterReqID: str
ID of raster collection