def main(modelPath,inputPath,outputPath):
ngram,models = readModel(modelPath)
files = Queue.Queue(0)
print "Read %d %d-gram models" % (len(models),ngram)
if not os.path.isdir(outputPath):
os.mkdir(outputPath)
def workerFunction(jobObj,tid,args):
a = datetime.now()
print "worker #%02d start read file %s" % (tid,jobObj)
f = open(os.path.join(inputPath,jobObj),"r")
content = json.load(f)
f.close()
diff = datetime.now() - a
print "worker #%02d read file %s, use [%d.%d s]" % (tid,jobObj,diff.seconds,diff.microseconds)
results = {}
count = 0
for subFilename in content:
ngs = content[subFilename]
count += 1
result = {}
for model in models:
mn = models[model]
#result[model] = 0
for ng in ngs:
if ng in mn:
if not model in result:
result[model] = 0
result[model]+=1
if count % 100 == 0:
print "worker #%02d scan %d files" % (tid,count)
results[subFilename] = result
a = datetime.now()
print "worker #%02d start write file %s" % (tid,jobObj)
f = open(os.path.join(outputPath,jobObj),"w")
json.dump(results,f)
f.close()
diff = datetime.now() - a
print "worker #%02d write file %s, use [%d.%d s]" % (tid,jobObj,diff.seconds,diff.microseconds)
for filename in os.listdir(inputPath):
if ".json" in filename:
files.put(filename)
manager = Manager(25)
manager.setJobQueue(files)
manager.setWorkerFunction(workerFunction)
manager.startWorking()
def main(modelPath, inputFiles, outputPath):
ngram, models = readModel(modelPath)
rule = ".json"
files = Queue.Queue(0)
start_time = datetime.now()
# if target dir not exist, create it.
if not os.path.isdir(outputPath):
os.mkdir(outputPath)
def workerFunction(jobObj, tid, args):
content = json.load(open(os.path.join(inputFiles, jobObj), "r"))
print "worker #%02d read file %s" % (tid, jobObj)
dealL = 0
count = 0
results = {}
for subFilename in content:
count += 1
ngl = []
for line in content[subFilename]:
dealL += 1
# FIXME - only implement bigram
ngs = (
line.lower()
.replace("[", " ")
.replace("]", " ")
.replace("!", " ")
.replace("?", " ")
.replace(",", " ")
.replace(")", " ")
.replace("(", " ")
.split()
)
for i in xrange(1, len(ngs)):
ngl.append("%s\t%s" % (ngs[i - 1], ngs[i]))
# try to find hit.
result = {}
if len(ngl) < 1:
continue
for model in models:
mn = models[model]
for ng in ngs:
if ng in mn:
if not model in result:
result[model] = 0
result[model] += 1
if dealL % 10000 == 0:
print "worker #%02d deal with %d lines" % (tid, dealL)
if count % 100 == 0:
print "worker #%02d scan %d files" % (tid, count)
results[subFilename] = result
json.dump(results, open(os.path.join(outputPath, jobObj), "w"))
fileNameList = []
for filename in os.listdir(inputFiles):
if rule in filename:
# fileNameList.append(filename)
files.put(filename)
# fileNameList.sort()
# for filename in fileNameList:
# files.put(filename)
manager = Manager(workerNumber=25)
manager.setJobQueue(files)
manager.setWorkerFunction(workerFunction)
manager.startWorking()
diff = datetime.now() - start_time
print "All job done, use %d.%d secs" % (diff.seconds, diff.microseconds)
def main(modelPath,inputFiles,outputPath):
ngram,models = readModel(modelPath)
rule = ".json"
files = Queue.Queue(0)
start_time = datetime.now()
# if target dir not exist, create it.
if not os.path.isdir(outputPath):
os.mkdir(outputPath)
def workerFunction(jobObj,tid,args):
content = json.load(open(os.path.join(inputFiles,jobObj),"r"))
print "worker #%02d read file %s" % (tid,jobObj)
dealL = 0
count = 0
results = {}
for subFilename in content:
count += 1
ngl = []
for line in content[subFilename]:
dealL += 1
# FIXME - only implement bigram
ngs = line.lower().replace("["," ").replace("]"," ").replace("!"," ").replace("?"," ").replace(","," ").replace(")"," ").replace("("," ").split()
for i in xrange(1,len(ngs)):
ngl.append("%s\t%s" % (ngs[i-1],ngs[i]))
# try to find hit.
result = {}
if len(ngl) < 1:
continue
for model in models:
mn = models[model]
for ng in ngs:
if ng in mn:
if not model in result:
result[model] = 0
result[model] += 1
if dealL%10000 == 0:
print "worker #%02d deal with %d lines" % (tid,dealL)
if count % 100 == 0:
print "worker #%02d scan %d files" % (tid,count)
results[subFilename] = result
json.dump(results,open(os.path.join(outputPath,jobObj),"w"))
fileNameList = []
for filename in os.listdir(inputFiles):
if rule in filename:
#fileNameList.append(filename)
files.put(filename)
#fileNameList.sort()
#for filename in fileNameList:
# files.put(filename)
manager = Manager(workerNumber=25)
manager.setJobQueue(files)
manager.setWorkerFunction(workerFunction)
manager.startWorking()
diff = datetime.now() - start_time
print "All job done, use %d.%d secs" % (diff.seconds,diff.microseconds)
def main(modelPath, inputPath, outputFileName):
ngram, models = readModel(modelPath)
resultQueue = Queue.Queue(0)
for model in models:
models[model] = {
"tp": 0, # true - postive Real Ans: True False
"tn": 0, # true - negative Model told:
"fp": 0, # false - postive Yes tp fp
"fn": 0 # false - negative No fn tn
}
connect = pymongo.Connection()
db = connect.projizz
ansCol = db.result.data.instance
def workerFunction(jobObj, tid, args):
resultJson = json.load(open(os.path.join(inputPath, jobObj), "r"))
print "worker #%02d read file %s" % (tid, jobObj)
queries = map(lambda x: x[:-4], resultJson)
itr = ansCol.find({"revid": {"$in": queries}})
print "worker #%02d query=%d, result=%d" % (tid, len(queries),
itr.count())
partAns = copy.deepcopy(models)
count = 0
for ans in itr:
count += 1
features = ans["features"]
resultInstance = resultJson["%s.txt" % (ans["revid"])]
for relationship in partAns:
postive = False
true = False
if relationship in resultInstance and resultInstance[
relationship] > 0:
postive = True
if relationship in features:
true = True
if true:
if postive:
partAns[relationship]["tp"] += 1
else:
partAns[relationship]["fn"] += 1
else:
if postive:
partAns[relationship]["fp"] += 1
else:
partAns[relationship]["tn"] += 1
if count % 100 == 0:
print "worker #%02d done %d." % (tid, count)
resultQueue.put(partAns)
files = Queue.Queue(0)
for filename in os.listdir(inputPath):
if ".json" in filename:
files.put(filename)
manager = Manager(8)
manager.setJobQueue(files)
manager.setWorkerFunction(workerFunction)
manager.startWorking()
print "Result Queue size", resultQueue.qsize()
while True:
if resultQueue.empty():
break
try:
r = resultQueue.get()
for m in r:
models[m]["tp"] += r[m]["tp"]
models[m]["tn"] += r[m]["tn"]
models[m]["fp"] += r[m]["fp"]
models[m]["fn"] += r[m]["fn"]
except:
break
print "start write out to %s" % (outputFileName)
json.dump(models, open(outputFileName, "w"))
print "done"
def main(modelPath,inputPath,outputFileName):
ngram, models = readModel(modelPath)
resultQueue = Queue.Queue(0)
for model in models:
models[model] = {
"tp":0, # true - postive Real Ans: True False
"tn":0, # true - negative Model told:
"fp":0, # false - postive Yes tp fp
"fn":0 # false - negative No fn tn
}
connect = pymongo.Connection()
db = connect.projizz
ansCol = db.result.data.instance
def workerFunction(jobObj,tid,args):
resultJson = json.load(open(os.path.join(inputPath,jobObj),"r"))
print "worker #%02d read file %s" % (tid,jobObj)
queries = map(lambda x: x[:-4], resultJson)
itr = ansCol.find({"revid":{"$in":queries}})
print "worker #%02d query=%d, result=%d" % (tid,len(queries),itr.count())
partAns = copy.deepcopy(models)
count = 0
for ans in itr:
count += 1
features = ans["features"]
resultInstance = resultJson["%s.txt" % (ans["revid"])]
for relationship in partAns:
postive = False
true = False
if relationship in resultInstance and resultInstance[relationship] > 0:
postive = True
if relationship in features:
true = True
if true:
if postive:
partAns[relationship]["tp"] += 1
else:
partAns[relationship]["fn"] += 1
else:
if postive:
partAns[relationship]["fp"] += 1
else:
partAns[relationship]["tn"] += 1
if count % 100 == 0:
print "worker #%02d done %d." % (tid,count)
resultQueue.put(partAns)
files = Queue.Queue(0)
for filename in os.listdir(inputPath):
if ".json" in filename:
files.put(filename)
manager = Manager(8)
manager.setJobQueue(files)
manager.setWorkerFunction(workerFunction)
manager.startWorking()
print "Result Queue size", resultQueue.qsize()
while True:
if resultQueue.empty():
break
try:
r = resultQueue.get()
for m in r:
models[m]["tp"] += r[m]["tp"]
models[m]["tn"] += r[m]["tn"]
models[m]["fp"] += r[m]["fp"]
models[m]["fn"] += r[m]["fn"]
except:
break
print "start write out to %s" % (outputFileName)
json.dump(models,open(outputFileName,"w"))
print "done"