def getMissingECodes(eCodes):
eCodesSet = set(eCodes)
result = set()
for e in ecoInfo.getAllECodes():
if not e in eCodesSet:
result.add(e)
return result
def getMissingECodes(eCodes):
eCodesSet = set(eCodes)
result = set()
for e in ecoInfo.getAllECodes():
if not e in eCodesSet:
result.add(e)
return result
def picklePhotoIds(photoIds):
pickle.dump(photoIds, open(pickleFile, "wb"))
def isEcoregion(tag):
return normalizeEcoregion(tag) in normalizedEcoregions
def ecoregionsInTags(tags):
return filter(isEcoregion, tags)
def getECodes(ecoregions):
return [normalizedEcoregions[normalizeEcoregion(e)] for e in ecoregions]
normalizedEcoregions = dict()
for c in ecoInfo.getAllECodes():
ecoregion = ecoInfo.getEcoregion(c)
normalizedEcoregions[normalizeEcoregion(ecoregion)] = c
photoIds= getPhotosIdsFromApi()
badPhotos = list()
eCodes = set()
count = 1
max = 10000
for photoId in photoIds:
print "processing photo " + str(count) + " of " + str(len(photoIds))
count = count + 1
if (count >= max):
break
def isEcoregion(tag):
return normalizeEcoregion(tag) in normalizedEcoregions
def ecoregionsInTags(tags):
return filter(isEcoregion, tags)
def getECodes(ecoregions):
return [normalizedEcoregions[normalizeEcoregion(e)] for e in ecoregions]
normalizedEcoregions = dict()
for c in ecoInfo.getAllECodes():
ecoregion = ecoInfo.getEcoregion(c)
normalizedEcoregions[normalizeEcoregion(ecoregion)] = c
photoIds = getPhotosIdsFromApi()
badPhotos = list()
eCodes = set()
count = 1
max = 10000
for photoId in photoIds:
print "processing photo " + str(count) + " of " + str(len(photoIds))
count = count + 1
if (count >= max):
break