def update_translations_list(
TSE_index="../../indexes/extend",
translations_list_file="../../resources/configs/translations.js"):
TSE = TraductionSearchEngine(TSE_index)
list1 = [item for item in TSE.list_values("id") if item]
list2 = []
list3 = []
for id in list1:
list2.extend([
item for item in TSE.list_values("lang", conditions=[("id", id)])
if item
])
list3.extend([
item for item in TSE.list_values("author", conditions=[("id", id)])
if item
])
list5 = map(lambda x: LANGS[x] if LANGS.has_key(x) else x, list2)
D = {}
for i in range(len(list3)):
D[list1[i]] = list5[i] + "-" + list3[i]
TDICT = json.dumps(D)
f = open(translations_list_file, "w")
f.write(TDICT)
return TDICT
def TSE( path = Paths.TSE_INDEX ):
return TraductionSearchEngine( path )
This is a test module for most of features provided by alfanous.main module.
"""
from alfanous.main import QuranicSearchEngine, FuzzyQuranicSearchEngine
from alfanous.main import TraductionSearchEngine
from alfanous.main import WordSearchEngine
from alfanous.results_processing import QPaginate
from six.moves import input
#from alfanous.ResultsProcessing import QFilter
if __name__ == '__main__':
QSE = QuranicSearchEngine("../alfanous/indexes/main/")
FQSE = FuzzyQuranicSearchEngine("../alfanous/indexes/main/")
TSE = TraductionSearchEngine("../alfanous/indexes/extend/")
QWSE = WordSearchEngine("../alfanous/indexes/word/")
if QWSE.OK:
print("most frequent vocalized words")
MFW = QWSE.most_frequent_words(10, "word")
for term in MFW:
print("\t", term[1], " - frequence = ", term[0], ".")
print("most frequent unvocalized words")
MFW = QWSE.most_frequent_words(10, "normalized")
for term in MFW:
print("\t", term[1], " - frequence = ", term[0], ".")
RESULTS, TERMS = QWSE.search_all("word_id:1",
limit=6236,
sortedby="score",
