def getDataExisting(path, requiredFeatures):
name = getName(path)
data = loadExistingData(name)
existingFeatures = getExistingFeatures(name)
# mFeatures = diff(requiredFeatures,existingFeatures)
if isEmpty(diff(requiredFeatures, existingFeatures)):
return data
data = updateFeatures(data, path, requiredFeatures, existingFeatures)
data = cleanData(data)
storeData(data, name)
storePickle(union(requiredFeatures, existingFeatures), name)
return data
def getFeatures(path, name, nb, required, existing, existingVals):
def getRawData(path, name, nb, hip):
def getDir(path, subject, bodyPart, nb):
return (path + subject + "\\" + bodyPart + "\\" +
"DATA-00" + str(int(nb)) + ".csv")
if hip:
bodyPart = 'heup'
else:
bodyPart = 'enkel'
datadir = getDir(path, name, bodyPart, nb)
try:
data = ac.readGCDCFormat(datadir)
except:
return None
return ac.preprocessGCDC(data)
def getRunningPart(data, hip):
try:
return pp.filterRun3(data, hip)
except:
return None
def obtainFeatures(ankleData, hipData, features):
try:
return fa.extract(ankleData, hipData, features)
except:
return None
def getDataForOneBodyPart(path, name, nb, hip):
data = getRawData(path, name, nb, hip)
data = getRunningPart(data, hip)
return data
ankleData = getDataForOneBodyPart(path, name, nb, False)
hipData = getDataForOneBodyPart(path, name, nb, True)
if existing is None:
f = obtainFeatures(ankleData, hipData, required)
if f is None:
print('no features')
return None
return str(f)
missingFeatures = diff(required, existing)
# obtain features for existing cols and new features
newFeaturesForOldCols = colsFirstFeaturesSecond(existing, missingFeatures)
f1 = obtainFeatures(ankleData, hipData, newFeaturesForOldCols)
# obtain features for new cols and all features
featuresForNewCols = colsFirstFeaturesSecond(missingFeatures,
union(missingFeatures, existing))
f2 = obtainFeatures(ankleData, hipData, featuresForNewCols)
if f1 is not None:
f = f1
if f2 is not None:
f.update(f2)
elif f2 is not None:
f = f2
else:
print('no features')
return None
if existingVals is not None:
existingVals = literal_eval(existingVals)
existingVals.update(f)
f = existingVals
return str(f)
