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How to use list_topics method in localstack

Best Python code snippet using localstack_python

process_data.py

Source:process_data.py

1from textblob import TextBlob2import codecs3import sys4from nltk import tokenize5import os6import numpy as np7import PhraseBaseSummarization8import sentence9from os import walk10mypath = "data/topics"11list_topics = []12for (dirpath, dirnames, filenames) in walk(mypath):13    list_topics.extend(filenames)14reload(sys)15sys.setdefaultencoding('utf8')16number_topic = len(list_topics)17#number_topic= 2018############# PREPARE ###############################################################################19def count_num_sen(dir_gold_corpus, dir_out, list_topics):20    number_topic = len(list_topics)21    out = open(dir_out + "budget", mode="w")22    for topic in list_topics:23        #get the list of file in topic24        list_docs = []25        for (dirpath, dirnames, filenames) in walk(dir_gold_corpus + (topic[:-9])):26            list_docs.extend(filenames)27        num_char = 028        for doc in list_docs:29            f = open(dir_gold_corpus+topic[:-9]+"/" + doc, mode="r")30            num_char += len(f.read().split())31        budget = int(num_char*1.0/len(list_docs))32        out.write(str(budget))33        out.write("\n")34    out.close()35def split_gold(dir_gold_corpus, dir_out, list_topics):36    number_topic = len(list_topics)37    for topic in list_topics:38        # get the list of file in topic39        list_docs = []40        for (dirpath, dirnames, filenames) in walk(dir_gold_corpus + (topic[:-9])):41            list_docs.extend(filenames)42        num_char = 043        if not os.path.exists(dir_out+topic[:-9]):44            os.makedirs(dir_out+topic[:-9])45        for doc in list_docs:46            f = open(dir_gold_corpus + topic[:-9] + "/" + doc, mode="r")47            sentences = f.read().decode("utf8", "replace").split('\n')48            out = open(dir_out+topic[:-9]+"/"+doc,"w")49            list_sentece = []50            for i in range(len(sentences)):51                if (i%2 != 0):52                    list_sentece.append(sentences[i])53                    list_sentece.append("\n")54            out.writelines(list_sentece[:-1])55            out.close()56#57# split_gold("data/gold/","data/goldvn/", list_topics[:number_topic])58# count_num_sen("data/goldvn/", "data/budget/", list_topics[:number_topic])59##################################################################################################60def find_index(list_words, phrase, start, end):61    index = -162    for i in range(start, end, 1):63        if (list_words[i] == phrase[0]):64            index = i65            for j in range(len(phrase)):66                if (list_words[i + j] != phrase[j]):67                    index = -168            if index != -1: return index69    return index70def translated(list_topics, start_idx, end_idx, dir_topic, dir_out, paramter):71#Translate72    fileBudget = open("data/budget/budget","r")73    budget_string = fileBudget.read().split("\n")74    budget = []75    for i in range(len(budget_string)-1):76        budget.append(int(budget_string[i]))77    number_sentence = 078    for i in range(start_idx, end_idx,1):79        print("process " + list_topics[i])80        file = open(dir_topic + list_topics[i], mode="rb")81        parameter[-1] = budget[i]82        sentences = file.read().decode("utf8","replace").split('\r\n')83        phrase_sentences = []84        for line in sentences:85            if len(line) != 0:86                number_sentence += 187                phrase= []88                try:89                    blob = TextBlob(line)90                    translated_blob = blob.translate(to='vi')91                    out_sen = " ".join(translated_blob.tokens)92                    start = 093                    out_sen_tmp = out_sen.lower().split()94                    end = len(out_sen_tmp)95                    for nphrase in translated_blob.noun_phrases:96                        phrase_ele = []97                        nphrase = nphrase.split()98                        k = find_index(out_sen_tmp,nphrase,start, end)99                        start = k + len(nphrase)100                        for j in range(k,k + len(nphrase),1):101                            phrase_ele.append(j+1)102                        phrase.append(phrase_ele)103                except:104                    out_sen = line105                    phrase = []106            if (out_sen != "" ):107                sen = sentence.sentence(out_sen,phrase)108                phrase_sentences.append(sen)109        summarizer = PhraseBaseSummarization.phrase_based_summarization(phrase_sentences)110        summary =summarizer.summarizer(parameter)111        fileOut = open(dir_out+list_topics[i],"w")112        fileOut.write(summary)113        print("finish " + list_topics[i])114        fileOut.close()115    print "no.sentence: ", number_sentence116parameter=[]117parameter.append(0.025)  # paramter_d118parameter.append(-1.75)  # nuy119parameter.append(-1.75)  # parameter_epi120parameter.append(0.0001)  # parameter_select121parameter.append(0.0001)  # parameter_pre122parameter.append(0.0001)  # paramter_next123parameter.append(0)  # budget124# translated(list_topics[:number_topic],0, number_topic,"data/topics/","data/summary/", parameter)125#126# def expand_data(list_topics, dir_root, dir_topic, dir_translated, dir_out):127#     for i in range(number_topic):128#         file_en = open(dir_root + "/en")129#         file_vn = open(dir_root + "/vn")130#131#         file_en_translated = open(dir_topic + "/" + list_topics[i] , mode="r")132#         file_vn_translated = open(dir_translated + "/" + list_topics[i] , mode="r")133#134#         fileOut = open(dir_out + "/en" + str(i) , mode="w")135#         fileOut.write(file_en.read())136#         sentences = file_en_translated.read().decode("utf8", "replace").split('\n')137#         for line in sentences:138#             words = tokenize.word_tokenize(line)139#             fileOut.write(" ".join(words))140#             fileOut.write("\n")141#         fileOutvn = open(dir_out + "/vn" + str(i), mode = "w")142#         fileOutvn.write(file_vn.read())143#         fileOutvn.write(file_vn_translated.read())144#145#146#         fileOut.close()147#         fileOutvn.close()148#...

topic_check.py

Source:topic_check.py

2from confluent_kafka.admin import AdminClient3def topic_exists(topic):4    """Checks if the given topic exists in Kafka"""5    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})6    topic_metadata = client.list_topics(timeout=5)7    return topic in set(t.topic for t in iter(topic_metadata.topics.values()))8def contains_substring(to_test, substr):9    _before, match, _after = to_test.partition(substr)10    return len(match) > 011def topic_pattern_match(pattern):12    """13        Takes a string `pattern`14        Returns `True` if one or more topic names contains substring `pattern`.15        Returns `False` if not.16    """17    topic_metadata = client.list_topics()18    topics = topic_metadata.topics19    filtered_topics = {key: value for key, value in topics.items() if contains_substring(key, pattern)}20    return len(filtered_topics) > 021from confluent_kafka.admin import AdminClient22def topic_exists(topic):23    """Checks if the given topic exists in Kafka"""24    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})25    topic_metadata = client.list_topics(timeout=5)26    return topic in topic_metadata.topics27def contains_substring(to_test, substr):28    _before, match, _after = to_test.partition(substr)29    return len(match) > 030def topic_pattern_match(pattern):31    """32        Takes a string `pattern`33        Returns `True` if one or more topic names contains substring `pattern`.34        Returns `False` if not.35    """36    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})37    topic_metadata = client.list_topics(timeout=5)38    topic_metadata = client.list_topics()39    topics = topic_metadata.topics40    filtered_topics = {key: value for key, value in topics.items() if contains_substring(key, pattern)}41    return len(filtered_topics) > 042'''43'''44from confluent_kafka.admin import AdminClient45def topic_exists(topic):46    """Checks if the given topic exists in Kafka"""47    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})48    topic_metadata = client.list_topics(timeout=5)49    return topic in set(t.topic for t in iter(topic_metadata.topics.values()))50'''51from confluent_kafka.admin import AdminClient52def topic_exists(topic):53    """Checks if the given topic exists in Kafka"""54    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})55    topic_metadata = client.list_topics(timeout=5)56    return topic in topic_metadata.topics57def contains_substring(to_test, substr):58    _before, match, _after = to_test.partition(substr)59    return len(match) > 060def topic_pattern_match(pattern):61    """62        Takes a string `pattern`63        Returns `True` if one or more topic names contains substring `pattern`.64        Returns `False` if not.65    """66    client = AdminClient({"bootstrap.servers": "PLAINTEXT://localhost:9092"})67    topic_metadata = client.list_topics(timeout=5)68    topic_metadata = client.list_topics()69    topics = topic_metadata.topics70    filtered_topics = {key: value for key, value in topics.items() if contains_substring(key, pattern)}...

controlmethod.py

Source:controlmethod.py

1# from summarize import summarize2# import sys3# from os import walk4# import os5# from BingTranslator import Translator6#7# # from sum_lib import summarize8# #9# # import nltk10# # nltk.download(['stopwords', 'punkt'])11#12# # def count_num_sen(dir_gold_corpus, dir_out, list_topics):13# #     number_topic = len(list_topics)14# #     out = open(dir_out + "budget_sentence.txt", mode="w+")15# #     for topic in list_topics:16# #         #get the list of file in topic17# #         list_docs = []18# #         for (dirpath, dirnames, filenames) in walk(dir_gold_corpus + (topic[:-9])):19# #             list_docs.extend(filenames)20# #         num_char = 021# #         for doc in list_docs:22# #             f = open(dir_gold_corpus+topic[:-9]+"/" + doc, mode="r+").read()23# #             num_char += len(f.split("\n"))24# #         budget = int(num_char*1.0/len(list_docs))25# #         out.write(str(budget))26# #         out.write("\n")27# #     out.close()28# #29# mypath = "data/topics"30#31# list_topics = []32# for (dirpath, dirnames, filenames) in walk(mypath):33#     list_topics.extend(filenames)34#35# reload(sys)36# sys.setdefaultencoding('utf-8')37#38# number_topic = len(list_topics)39#40# #count_num_sen(dir_gold_corpus="data/goldvn/", dir_out="data/budget/",list_topics=list_topics)41#42# budget = open("data/budget/budget_sentence.txt","r").read().split("\n")43# # print budget44#45# # ss = summarize.SimpleSummarizer()46#47# client_id = "tuesdayhcm"48# client_secret = "123456789secretkey123456789"49#50# translator = Translator(client_id, client_secret)51#52# for i in range (len(list_topics)):53#     text = open("data/topics/" + list_topics[i],"r+").read()54#     output = open("data/baselinesummary/"+list_topics[i], "w")55#     summary = ""56#     #text=text.encode("utf-8")57#     try:58#         # summary = ss.summarize(text, budget[i])59#         summary = summarize(text=text,sentence_count=int(budget[i]),language='english')60#61#         #translated62#         phrase_translated = translator.translate(summary, "vi") #translating phrase63#         output.write(phrase_translated)64#     except:65#         print(list_topics[i])66#         output.write("")67#         output.close()68#         #os.remove("data/baselinesummary/"+list_topics[i])69#     print(i)70#     #summary = ss.summarize(text,budget[i])7172#73#74#75#767778# import urllib79#80from textblob import TextBlob81# from translate import translator82# from BingTranslator import Translator83#84#85text = "I am a student"86blob = TextBlob(text)
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