def createPostingList(sortTepDic):
posting = {}
for key in sortTepDic.keys():
posting[key] = [DocId for DocId in sortTepDic[key][0]]
Data.write_dataStruct_to_file(Contants.POSTING_LIST_FILE_NAME, posting)
def createPostingList(sortTepDic):
posting = {}
for key in sortTepDic.keys():
posting[key] = [DocId for DocId in sortTepDic[key][0]]
Data.write_dataStruct_to_file(Contants.POSTING_LIST_FILE_NAME, posting)
def createTermIndex():
sortTepDic = SortedDict()
#Structure for each term
# sortTepDic['term']=({'DocId1':['Pos1','Pos2'],'DocId2':['Pos1','Pos2']},'termFreq','DocFreq')
for root, dirs, files in os.walk(Contants.DATA_DIRECTORY_NAME,
topdown=True):
for name in files:
file_name = os.path.join(root, name)
# 'r' when the file will only be read
# 'w' for only writing (an existing file with the same name will be erased)
# 'a' opens the file for appending; any data written to the file is automatically added to the end.
# 'r+' opens the file for both reading and writing.
mode = 'r'
file_object = open(file_name, mode)
DocId = os.path.split(file_name)[1]
wordPos = 0
for word in file_object.read().split():
wordPos = wordPos + 1 #increment word location
lamma = applyFilters(word)
if lamma:
if lamma not in sortTepDic:
sortTepDic[lamma] = [{
DocId: [wordPos]
}, 1, 1] #add a new term
else:
sortTepDic[lamma][1] = sortTepDic[lamma][
1] + 1 #increment the term frequency
if DocId in sortTepDic[lamma][0]:
sortTepDic[lamma][0][DocId].append(
wordPos
) #add new word position for the existing document
else:
sortTepDic[lamma][0][DocId] = [
wordPos
] #add a new document ID and he word position
sortTepDic[lamma][2] = sortTepDic[lamma][
2] + 1 #increment the document frequecy
#covert lists to tuples
for key in sortTepDic.keys():
for DocId in sortTepDic[key][0]:
sortTepDic[key][0][DocId] = tuple(sortTepDic[key][0][DocId])
sortTepDic[key] = tuple(sortTepDic[key])
Data.write_dataStruct_to_file(Contants.WORD_INDEX_FILE_NAME, sortTepDic)
createLexicon(sortTepDic)
createPostingList(sortTepDic)
def createTermIndex():
sortTepDic = SortedDict()
# Structure for each term
# sortTepDic['term']=({'DocId1':['Pos1','Pos2'],'DocId2':['Pos1','Pos2']},'termFreq','DocFreq')
for root, dirs, files in os.walk(Contants.DATA_DIRECTORY_NAME, topdown=True):
for name in files:
file_name = os.path.join(root, name)
# 'r' when the file will only be read
# 'w' for only writing (an existing file with the same name will be erased)
# 'a' opens the file for appending; any data written to the file is automatically added to the end.
# 'r+' opens the file for both reading and writing.
mode = "r"
file_object = open(file_name, mode)
DocId = os.path.split(file_name)[1]
wordPos = 0
for word in file_object.read().split():
wordPos = wordPos + 1 # increment word location
lamma = applyFilters(word)
if lamma:
if lamma not in sortTepDic:
sortTepDic[lamma] = [{DocId: [wordPos]}, 1, 1] # add a new term
else:
sortTepDic[lamma][1] = sortTepDic[lamma][1] + 1 # increment the term frequency
if DocId in sortTepDic[lamma][0]:
sortTepDic[lamma][0][DocId].append(
wordPos
) # add new word position for the existing document
else:
sortTepDic[lamma][0][DocId] = [wordPos] # add a new document ID and he word position
sortTepDic[lamma][2] = sortTepDic[lamma][2] + 1 # increment the document frequecy
# covert lists to tuples
for key in sortTepDic.keys():
for DocId in sortTepDic[key][0]:
sortTepDic[key][0][DocId] = tuple(sortTepDic[key][0][DocId])
sortTepDic[key] = tuple(sortTepDic[key])
Data.write_dataStruct_to_file(Contants.WORD_INDEX_FILE_NAME, sortTepDic)
createLexicon(sortTepDic)
createPostingList(sortTepDic)
def createLexicon(sortTepDic):
keys = [key for key in sortTepDic.keys()]
Data.write_dataStruct_to_file(Contants.LEXICON_FILE_NAME, keys)
def createLexicon(sortTepDic):
keys = [key for key in sortTepDic.keys()]
Data.write_dataStruct_to_file(Contants.LEXICON_FILE_NAME, keys)