def processItemFullSize(arr):
data = arr['data']
q = Meme.objects.filter(threadLink = 'http://reddit.com' + data['permalink'])
#Have we evaluated this submission yet? Might be worth considering only checking
#memes within the last day.
if q.count() > 1:
raise Exception("More than one of the same permalink in db for permalink:" + data['permalink'])
if q.count() == 1:
#if we have, update the score and move on
m = q[0]
m.score = data['score']
m.save()
elif ".jpeg" not in data['url']:
#have not evaluated this submission yet, run tests and store
filepath = dropBoxDir + 'target.jpg'
if ".jpg" in data['url'] or ".png" in data['url']:
fullSize = data['url']
else:
fullSize = fullSizePhoto(data['url'])
f = open(filepath, 'wb')
f.write(urllib3.PoolManager().request('GET', fullSize).data)
f.close()
img_corrupt = False
c2 = False
#classify.classify() gets 2 elements: image macro/none, strong/weak
classification = classify.classify(filepath)
if classification[0] == None and classification[2] != None:
c2 = True
macro = None
#try classifying on potential libs
classification2 = classify.classify(filepath, directory = dropBoxDir + 'potential_libs/')
if classification2[0] == None:
#add image to potential_libs
p = PotentialImageMacro(thumbnailLink = data['thumbnail'], fullSizeLink = fullSize,
score = data['score'], submitter = data['author'], source = 'adviceanimals', created = data['created']
, threadLink = 'http://reddit.com' + data['permalink'], title = data['permalink'].replace('/', '') + '.jpg')
p.save()
potentialize(data['permalink'].replace('/', ''))
elif classification2[2] < 20: #only classify as potential_lib if very confident
librarize(classification2[0][8:])
macro = ImageMacro.objects.get(filename = 'library/' + classification2[0][8:])
print "Added " + classification2[0][8:] + " to the library while classifying: " + fullSize
classification = classification2
elif classification[2] == None:
macro = None
img_corrupt = True
else:
macro = ImageMacro.objects.get(filename = classification[0])
m = Meme(classification = macro, thumbnailLink = data['thumbnail'],
fullSizeLink = fullSize, score = data['score'], submitter = data['author'],
topDist = classification[2] , topCorr = classification[3] ,
source = 'adviceanimals', created = data['created'], threadLink = 'http://reddit.com' + data['permalink'],
strong_classification = classification[1], img_corrupt = img_corrupt)
m.save()
if classification[2] < 25 and classification[0] != None:
if c2: merge(classification[0], macro, detract = 1)
else: merge(classification[0], macro)
def processItem(arr, target):
q = Meme.objects.filter(threadLink = arr['threadLink']).distinct()
#Have we evaluated this submission yet? Might be worth considering only checking
#memes within the last day, or otherwise making the filter stronger
print "Processing thread: " + arr['threadLink']
if q.count() > 1:
print "More than one of the same permalink in db for permalink:" + arr['threadLink']
return
if q.count() == 1:
#if we have, update the score and move on
print "Repeat submission. Updating score and moving on..."
m = q[0]
m.score = arr['score']
m.save()
else:
#have not evaluated this submission yet, run tests and store
#classify.classify() gets 2 elements: image macro/none, strong/weak
img_corrupt = False
classification = classify.classify(target, 'macros')
if classification[0] == None and classification[1] != None:
macro = None
#try classifying on potential libs
classification = classify.classify(target, 'potentialmacros')
if classification[0] == None:
#add image to potential_libs
p = PotentialImageMacro(thumbnailLink = arr['thumbnailLink'], fullSizeLink = arr['fullSizeLink'],
score = arr['score'], submitter = arr['author'], source = arr['source'], created = arr['created']
, threadLink = arr['threadLink'], key = arr['threadLink'].replace('/', ''))
p.save()
potentialize(arr['threadLink'].replace('/', ''), target)
print "Added as potential macro."
elif classification[1] < 14: #only classify as potential if very confident
librarize(classification[0])
macro = ImageMacro.objects.get(key = classification[0])
merge(macro, target)
print "Moved " + classification[0] + " over to the library, and classified this item as such."
#Unaddressed case: weak classification. Do not want to classify as potential because
#doing sois going out on a limb without strong reason to do so. Also do not want to
#add it as a potential macro because it is likely reduntant.
#Image must be corrput because a value was not attained for closest with distance
elif classification[1] == None:
print "Image corrupt"
macro = None
img_corrupt = True
else:
macro = ImageMacro.objects.get(key = classification[0])
if classification[1] < 25: merge(macro, target)
print "Classified as " + classification[0]
m = Meme(classification = macro, thumbnailLink = arr['thumbnailLink'],
fullSizeLink = arr['fullSizeLink'], score = arr['score'], submitter = arr['author'],
topDist = classification[1] , topCorr = classification[2] ,
source = arr['source'], created = arr['created'], threadLink = arr['threadLink'],
img_corrupt = img_corrupt, name = name(arr['fullSizeLink']))
m.save()
if m.classification != None:
updateName(m.classification)
def processItemFullSize(arr):
data = arr['data']
q = Meme.objects.filter(threadLink='http://reddit.com' + data['permalink'])
#Have we evaluated this submission yet? Might be worth considering only checking
#memes within the last day.
if q.count() > 1:
raise Exception(
"More than one of the same permalink in db for permalink:" +
data['permalink'])
if q.count() == 1:
#if we have, update the score and move on
m = q[0]
m.score = data['score']
m.save()
elif ".jpeg" not in data['url']:
#have not evaluated this submission yet, run tests and store
filepath = dropBoxDir + 'target.jpg'
if ".jpg" in data['url'] or ".png" in data['url']:
fullSize = data['url']
else:
fullSize = fullSizePhoto(data['url'])
f = open(filepath, 'wb')
f.write(urllib3.PoolManager().request('GET', fullSize).data)
f.close()
img_corrupt = False
c2 = False
#classify.classify() gets 2 elements: image macro/none, strong/weak
classification = classify.classify(filepath)
if classification[0] == None and classification[2] != None:
c2 = True
macro = None
#try classifying on potential libs
classification2 = classify.classify(filepath,
directory=dropBoxDir +
'potential_libs/')
if classification2[0] == None:
#add image to potential_libs
p = PotentialImageMacro(
thumbnailLink=data['thumbnail'],
fullSizeLink=fullSize,
score=data['score'],
submitter=data['author'],
source='adviceanimals',
created=data['created'],
threadLink='http://reddit.com' + data['permalink'],
title=data['permalink'].replace('/', '') + '.jpg')
p.save()
potentialize(data['permalink'].replace('/', ''))
elif classification2[
2] < 20: #only classify as potential_lib if very confident
librarize(classification2[0][8:])
macro = ImageMacro.objects.get(filename='library/' +
classification2[0][8:])
print "Added " + classification2[0][
8:] + " to the library while classifying: " + fullSize
classification = classification2
elif classification[2] == None:
macro = None
img_corrupt = True
else:
macro = ImageMacro.objects.get(filename=classification[0])
m = Meme(classification=macro,
thumbnailLink=data['thumbnail'],
fullSizeLink=fullSize,
score=data['score'],
submitter=data['author'],
topDist=classification[2],
topCorr=classification[3],
source='adviceanimals',
created=data['created'],
threadLink='http://reddit.com' + data['permalink'],
strong_classification=classification[1],
img_corrupt=img_corrupt)
m.save()
if classification[2] < 25 and classification[0] != None:
if c2: merge(classification[0], macro, detract=1)
else: merge(classification[0], macro)
