start = time.time()
print('{0}'.format(filePath))
print(filename + ' detected, processing')
########## Begin data reduction scripts ###########################
SAXSDimReduce(calibPath, filePath,
config) #QRange=QRange, ChiRange=ChiRange)
stage1int = time.time()
peakFitBBA(filePath, config)
stage2int = time.time()
########## Visualization #########################################
# Pulling info from master CSV
FWHMmap(filePath)
contrastMap(filePath, hiLimit)
print(filename + ' completed')
end = time.time()
loopTime += [(end - start)]
stage1Time += [(stage1int - start)]
stage2Time += [(stage2int - stage1int)]
#break
# Evaluate performance
avgTime = np.mean(loopTime)
maxTime = np.max(loopTime)
avg1 = np.mean(stage1Time)
avg2 = np.mean(stage2Time)
print(filename + ' detected, processing')
# fake a path in prev folder
# Assume name of format xxxxx_[index]_1D.csv
fakeName = filename[:-7]+'.tif'
fakePath = dataPath + fakeName
print(fakePath)
########## Begin data reduction scripts ###########################
stage1int = time.time()
peakFitBBA(fakePath, config)
stage2int = time.time()
########## Visualization #########################################
# Pulling info from master CSV
FWHMmap(fakePath)
contrastMap(fakePath, hiLimit)
print(filename + ' completed')
end = time.time()
loopTime += [(end-start)]
stage2Time += [(stage2int - stage1int)]
#break
# Evaluate performance
avgTime = np.mean(loopTime)
maxTime = np.max(loopTime)
avg2 = np.mean(stage2Time)
max2 = np.max(stage2Time)
import os, sys
import glob
from save_wafer_heatMap import FWHMmap, contrastMap
'''
Takes data path and generates heatmaps based on existing master files
Skips data analysis / image reduction
'''
############ INPUT PARAMETERS HERE ################
dataPath = os.path.expanduser('/data/b_mehta/bl1-5/Mar2018/TiAlCo/data/k9a/')
threshFWHM = 0.57
########### END INPUT PARAMETERS ##################
# find single file for feeding into pre-existing functions
fileList = glob.glob(os.path.join(dataPath, '*.tif'))
if len(fileList) == 0:
sys.exit('No files found')
FWHMmap(fileList[0]) # generates both normal FWHM and key maps
contrastMap(fileList[0], threshFWHM) # generates contrast heatmap
def test3():
masterPath = '/home/b_mehta/monHiTp/testHoldOld/k9a_040318_1_24x24_t45_0001.tif'
contrastMap(masterPath)
print('test3 complete')
