def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
for i in range(numlines):
actionrequest = json_data[i]["actions"]
for index, actions in enumerate(actionrequest):
action = actionrequest[index]["action"]
bin = actionrequest[index]["bin"]
if not os.path.exists(os.getcwd(
) + '/data-analytics-pipeline/test/results/h6/output/' + action):
os.makedirs(
os.getcwd() +
'/data-analytics-pipeline/test/results/h6/output/' +
action)
phases = actionrequest[index]["phases"]
cdPlot(action, bin, len(phases), phases)
print(" -- h6 --")
print(" -- good termination --")
def main():
if (len(sys.argv) != 2):
print (" Error. Incorrect usage.")
print (" usage: exec infile outfile.")
print (" Halt.")
quit()
configfile=sys.argv[1]
json_file = open(configfile, 'r')
json_data = json.load(json_file)
numlines= (len(json_data))
#for i in range(numlines):
schemainputdata=os.getcwd()+'/jsonInputPipeline/schemas/property-inference-pipeline.json'
inputdata=os.getcwd()+'/jsonInputPipeline/input/property-inference-pipeline.json'
value=validateJson.validate(schemainputdata,inputdata)
if value=='False':
sys.exit()
functions=json_data["functions"]
numlines= (len(functions))
for i in range(numlines):
function=functions[i]["function"]
if function=='h1':
if os.path.exists(os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json') and os.path.exists(os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/schemas/h1.json'):
filename = os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json'
schemaname = os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/schemas/h1.json'
h1Transformation.main(filename,schemaname)
foldermodel=functions[i]["foldermodel"]
inputpath=os.getcwd()+'/property-inference-pipeline/json-schema/h1/input/datasets/'
filename="tsData.csv"
#print(groupslist)
h1.main(inputpath,filename,foldermodel)
#else:
# print("No input of schema for h1")
if function=='h2':
groupslist=[]
groups=functions[i]["groups"]
numlinesgroups= (len(groups))
for ii in range(numlinesgroups):
groupslist.append([groups[ii]["n"],groups[ii]["d"]])
if os.path.exists(os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json') and os.path.exists(os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/schemas/h1.json'):
filename = os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json'
schemaname = os.getcwd()+'/property-inference-pipeline/json-schema/inputTransformation/schemas/h1.json'
h2Transformation.main(filename,schemaname,groupslist)
inputpath=os.getcwd()+'/property-inference-pipeline/json-schema/h1/input/datasets/'
filename="tsData.csv"
h2.main(inputpath,filename,groupslist)
else:
print("No input of schema for h2")
endTime=datetime.now()
#print (" elapsed time (seconds): ",endTime-startTime)
#print (" elapsed time (hours): ",(endTime-startTime)/3600.0)
print (" -- good termination --")
return
def main():
if (len(sys.argv) != 2):
print(" Error. Incorrect usage.")
print(" usage: exec infile outfile.")
print(" Halt.")
quit()
configfile = sys.argv[1]
json_file = open(configfile, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#for i in range(numlines):
schemainputdata = os.getcwd(
) + '/jsonInputPipeline/schemas/experiment-pipeline.json'
inputdata = os.getcwd(
) + '/jsonInputPipeline/input/experiment-pipeline.json'
value = validateJson.validate(schemainputdata, inputdata)
if value == 'False':
sys.exit()
functions = json_data["functions"]
numlines = (len(functions))
for i in range(numlines):
function = functions[i]["function"]
if function == 'h1':
if "path" in functions[i]:
inputpath = os.getcwd() + functions[i]["path"]
anagrams = functions[i]["anagrams"]
CompletedSessionSummary = functions[i][
"CompletedSessionSummary"]
InstructionsAnagrams = functions[i]["InstructionsAnagrams"]
LetterTransactions = functions[i]["LetterTransactions"]
Neighbors = functions[i]["Neighbors"]
PublicGoods = functions[i]["PublicGoods"]
TeamWords = functions[i]["TeamWords"]
TimeSpent = functions[i]["TimeSpent"]
UserLetters = functions[i]["UserLetters"]
h1Transformation.main(inputpath, anagrams, CompletedSessionSummary,
InstructionsAnagrams, LetterTransactions,
Neighbors, PublicGoods, TeamWords, TimeSpent,
UserLetters)
#if os.path.exists(os.getcwd()+'/experiment-pipeline/json-schema/h1/input/datasets/h6.json') and os.path.exists(os.getcwd()+'/data-analytics-pipeline/json-schema/h6/input/schemas/h6.json'):
h1.main(
os.getcwd() +
'/experiment-pipeline/json-schema/h1/input/datasets', anagrams,
CompletedSessionSummary, InstructionsAnagrams,
LetterTransactions, Neighbors, PublicGoods, TeamWords,
TimeSpent, UserLetters)
endTime = datetime.now()
#print (" elapsed time (seconds): ",endTime-startTime)
#print (" elapsed time (hours): ",(endTime-startTime)/3600.0)
print(" -- good termination --")
return
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h13/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h13/output/all')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h13/output/all/tsData.csv', 'w')
csvfileall.write(
'session,player,n,d,letters,time,requestsSent,repliesReceived,requestsReceived,repliesSent,words,lastWord,LevenshteinDistance,minLevenshteinDistance,w2,wordlocalrank,wordrank,wordlocalrankp\n'
)
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/all_words.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/3k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/20k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/google-10000-english-no-swears.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/google-10000-english-usa.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h13/5k1k.txt', 'r') as f:
with open(os.getcwd() + '/data-analytics-pipeline/src/h13/20k.txt',
'r') as f:
all_words_file = f.readlines()
seq = 1
wordranklist = []
for rowword in all_words_file:
wordfile = rowword.strip('\n')
wordranklist.append([wordfile, seq])
seq = seq + 1
#print(wordranklist)
print("num words:", len(all_words_file))
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall,
windowsize, all_words_file, wordranklist)
print(" -- h13 --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h14/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h14/output/all')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h14/output/all/tsData.csv', 'w')
csvfileall.write(
'session,player,n,d,letters,neighborLetters,time,requestsSent,repliesReceived,requestsReceived,repliesSent,words,countBuffer,numAllReplies,secondsSpan\n'
)
csvfileallP = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h14/output/all/tsDataParameters.csv',
'w')
csvfileallP.write(
'session,player,n,d,numWords,initialLetters,iLScrabbleSco,numRequests,numReplies,fracReplies\n'
)
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/all_words.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/3k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/20k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/google-10000-english-no-swears.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/google-10000-english-usa.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/5k1k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h14/5k.txt', 'r') as f:
# all_words_file = f.readlines()
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall,
windowsize, csvfileallP)
print(" -- h14 --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h12/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h12/output/all')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h12/output/all/tsData.csv', 'w')
csvfileall.write(
'session,player,n,d,letters,neighborLetters,time,requestsSent,repliesReceived,requestsReceived,repliesSent,words,lastWord,delta,rankingChosen\n'
)
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/all_words.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/3k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/20k.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/google-10000-english-no-swears.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/google-10000-english-usa.txt', 'r') as f:
#with open(os.getcwd()+'/data-analytics-pipeline/src/h12/5k1k.txt', 'r') as f:
with open(os.getcwd() + '/data-analytics-pipeline/src/h12/5k.txt',
'r') as f:
all_words_file = f.readlines()
print("num words:", len(all_words_file))
ranktable = getRank(all_words_file, len(all_words_file))
#print(ranktable)
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall,
windowsize, all_words_file, ranktable)
print(" -- h12 --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h8/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h8/output/all')
csvfileallP = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h8/output/all/tsDataParameters.csv',
'w')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h8/output/all/tsData.csv', 'w')
csvfileall.write(
'session,player,type,letters,time,requestsSent,repliesReceived,requestsReceived,repliesSent,words,LevenshteinDistance\n'
)
csvfileallP.write(
'session,player,neighbors,n,numWords,fracWordsOwnL,initialLetters,iLScrabbleSco,iLScrabbleSco1,iLScrabbleSco2,iLScrabbleSco3,iLScrabbleSco4,iLScrabbleSco5\n'
)
with open(os.getcwd() + '/data-analytics-pipeline/src/h8/all_words.txt',
'r') as f:
all_words_file = f.readlines()
print("num words:", len(all_words_file))
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall,
windowsize, all_words_file, csvfileallP)
print(" -- h8 --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h9/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h9/output/all')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h9/output/all/tsData.csv', 'w')
csvfileall.write(
'session,player,type,category,requestsSent,repliesReceived\n')
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
cat1numletters = actionrequest[index]["cat1numletters"]
cat1time = actionrequest[index]["cat1time"]
cat2numwords = actionrequest[index]["cat2numwords"]
cat2time = actionrequest[index]["cat2time"]
numseconds = actionrequest[index]["numseconds"]
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall,
cat1numletters, cat1time, cat2numwords, cat2time)
csvfileall.close()
rpath = os.getcwd() + '/data-analytics-pipeline/src/h9' + '/plot.R'
subprocess.call([
'Rscript', rpath,
os.getcwd() +
'/data-analytics-pipeline/test/results/h9/output/all/tsData.csv'
])
print(" -- h9 --")
print(" -- good termination --")
def main(filename, schemaname, groupslist):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/property-inference-pipeline/json-schema/h2/input/datasets/all'):
os.makedirs(
os.getcwd() +
'/property-inference-pipeline/json-schema/h2/input/datasets/all')
csvfileall = open(
os.getcwd() +
'/property-inference-pipeline/json-schema/h2/input/datasets/all/tsData.csv',
'w')
csvfileall.write('session,player,type,')
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
for row in groupslist:
ndvalue = [str(n), str(d)]
if ndvalue == row:
if i == 0 and index == 0:
for x in range(0, numseconds):
if x == numseconds - 1:
csvfileall.write(str(x) + '\n')
else:
csvfileall.write(str(x) + ',')
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall)
print(" -- h2 Transformation --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
for i in range(numlines):
actionrequest = json_data[i]["actions"]
for index, actions in enumerate(actionrequest):
action = actionrequest[index]["action"]
if not os.path.exists(os.getcwd(
) + '/data-analytics-pipeline/test/results/h3/output/' + action):
os.makedirs(
os.getcwd() +
'/data-analytics-pipeline/test/results/h3/output/' +
action)
phases = actionrequest[index]["phases"]
for index2, row in enumerate(phases):
session = phases[index2]["phaseid"]
#print(session)
begin = phases[index2]["begin"]
n = phases[index2]["n"]
d = phases[index2]["d"]
windowsize = phases[index]["windowsize"]
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h3/output/' +
action + '/' + str(windowsize) + 'S'):
os.makedirs(
os.getcwd() +
'/data-analytics-pipeline/test/results/h3/output/' +
action + '/' + str(windowsize) + 'S')
players = phases[index2]["players"]
cdPlot(action, len(players), players, session, begin, n, d,
windowsize)
print(" -- h3 --")
print(" -- good termination --")
def main(filename, schemaname):
value = validateJson.validate(schemaname, filename)
if value == 'False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#print(numlines)
if not os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/test/results/h7/output/all'):
os.makedirs(os.getcwd() +
'/data-analytics-pipeline/test/results/h7/output/all')
csvfileall = open(
os.getcwd() +
'/data-analytics-pipeline/test/results/h7/output/all/tsData.csv', 'w')
csvfileall.write('session,player,type,')
for i in range(numlines):
actionrequest = json_data[i]["features"]
for index, actions in enumerate(actionrequest):
n = actionrequest[index]["n"]
d = actionrequest[index]["d"]
windowsize = actionrequest[index]["windowsize"]
numseconds = actionrequest[index]["numseconds"]
if i == 0 and index == 0:
for x in range(0, numseconds):
if x == numseconds - 1:
csvfileall.write(str(x) + '\n')
else:
csvfileall.write(str(x) + ',')
#if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action):
# os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h7/output/'+action)
phases = actionrequest[index]["phases"]
filescsv(n, d, numseconds, len(phases), phases, csvfileall)
print(" -- h7 --")
print(" -- good termination --")
def main(filename,schemaname):
if not os.path.exists(os.getcwd()+'/data-analytics-pipeline/test/results/h1/visualizationOutput/'):
os.makedirs(os.getcwd()+'/data-analytics-pipeline/test/results/h1/visualizationOutput/')
value=validateJson.validate(schemaname,filename)
if value=='False':
sys.exit()
json_file = open(filename, 'r')
json_data = json.load(json_file)
numlines= (len(json_data))
players=[]
for i in range(numlines):
session=json_data[i]["phaseid"]
begin=json_data[i]["begin"]
n=json_data[i]["n"]
d=json_data[i]["d"]
numseconds=json_data[i]["duration"]
players=json_data[i]["players"]
interaction(len(players),players,session,begin,n,d,numseconds)
print (" -- h1 --")
print (" -- good termination --")
def main():
if (len(sys.argv) != 2):
print(" Error. Incorrect usage.")
print(" usage: exec infile outfile.")
print(" Halt.")
quit()
configfile = sys.argv[1]
json_file = open(configfile, 'r')
json_data = json.load(json_file)
numlines = (len(json_data))
#for i in range(numlines):
schemainputdata = os.getcwd(
) + '/jsonInputPipeline/schemas/property-inference-pipeline.json'
inputdata = os.getcwd(
) + '/jsonInputPipeline/input/property-inference-pipeline.json'
value = validateJson.validate(schemainputdata, inputdata)
if value == 'False':
sys.exit()
functions = json_data["functions"]
numlines = (len(functions))
for i in range(numlines):
function = functions[i]["function"]
if function == 'h1':
groupslist = []
if "path" in functions[i] and "filename" in functions[i]:
inputpath = os.getcwd() + functions[i]["path"]
filename = functions[i]["filename"]
else:
if os.path.exists(
os.getcwd() +
'/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json'
) and os.path.exists(os.getcwd(
) + '/data-analytics-pipeline/json-schema/h7/input/schemas/h7.json'
):
filename = os.getcwd(
) + '/property-inference-pipeline/json-schema/inputTransformation/datasets/h1.json'
schemaname = os.getcwd(
) + '/property-inference-pipeline/json-schema/inputTransformation/schemas/h1.json'
h1Transformation.main(filename, schemaname)
inputpath = os.getcwd(
) + '/property-inference-pipeline/json-schema/h1/input/datasets/'
filename = "tsData.csv"
groups = functions[i]["groups"]
numlinesgroups = (len(groups))
for ii in range(numlinesgroups):
groupslist.append([groups[ii]["n"], groups[ii]["d"]])
h1.main(inputpath, filename, groupslist)
#else:
# print("No input of schema for h1")
if "actionId" in functions[i]:
actionId = functions[i]["actionId"]
if function == 'h2':
#h2Transformation.main(experimentfile,phasedescfile,phasefile,actionfile,actionId)
if os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/json-schema/h2/input/datasets/h2.json'
) and os.path.exists(os.getcwd(
) + '/data-analytics-pipeline/json-schema/h2/input/schemas/h2.json'
):
filename = os.getcwd(
) + '/data-analytics-pipeline/json-schema/h2/input/datasets/h2.json'
schemaname = os.getcwd(
) + '/data-analytics-pipeline/json-schema/h2/input/schemas/h2.json'
#h2.main(filename,schemaname)
else:
print("No input of schema for h2")
if function == 'h3':
if "windowSize" in functions[i]:
windowSize = functions[i]["windowSize"]
h3Transformation.main(experimentfile, phasedescfile,
phasefile, actionfile, actionId,
windowSize)
if os.path.exists(
os.getcwd() +
'/data-analytics-pipeline/json-schema/h3/input/datasets/h3.json'
) and os.path.exists(os.getcwd(
) + '/data-analytics-pipeline/json-schema/h3/input/schemas/h3.json'
):
filename = os.getcwd(
) + '/data-analytics-pipeline/json-schema/h3/input/datasets/h3.json'
schemaname = os.getcwd(
) + '/data-analytics-pipeline/json-schema/h3/input/schemas/h3.json'
h3.main(filename, schemaname)
else:
print("No input of schema for h3")
endTime = datetime.now()
#print (" elapsed time (seconds): ",endTime-startTime)
#print (" elapsed time (hours): ",(endTime-startTime)/3600.0)
print(" -- good termination --")
return