Esempio n. 1
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def init(_):
    parser = argparse.ArgumentParser(description='Conversation Analyzer')
    parser.add_argument('-p', metavar='conversationfilePath', dest='filepath')
    parser.add_argument('-n',
                        metavar='numberOfMessages',
                        type=int,
                        dest='numMsgs',
                        default=0)
    parser.add_argument('-l',
                        metavar='wordsCountLimit',
                        type=int,
                        dest='wCountLimit',
                        default=20)

    args = parser.parse_args()
    filepath = args.filepath
    numMsgs = args.numMsgs
    wCountLimit = args.wCountLimit

    initLogger()
    #conv = ConversationDataframe(mio.getResourcesPath() + "\\unittest\\test_plotting.txt")
    conv = ConversationDataframe(filepath)
    conv.loadMessages(numMsgs)
    return

    res = conv.messages.rename(columns={'text': 'numMsgs'})
    res['lenMsgs'] = res['numMsgs'].apply(lambda x: len(x))
    x = pd.to_numeric(res['hour'])
    testCorrelation(x, res['lenMsgs'])
Esempio n. 2
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def main(_):
    parser = argparse.ArgumentParser(description='Conversation Analyzer')
    parser.add_argument('-p', metavar='conversationFilepath', dest='filepath', required=True)
    parser.add_argument('-n', metavar='numberOfMessages', type=int, dest='numMsgs', default=0,
                        help='number of conversation messages to be analyzed')
    baseFolderPath = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
    parser.add_argument('--conf', metavar='configFilepath', dest='configFilepath', default= baseFolderPath+'\\config.ini')

    args = parser.parse_args()
    filepath = args.filepath
    numMsgs = args.numMsgs
    CONFIG_FILEPATH = args.configFilepath

    STATS_SECTION = "Stats"
    config = configparser.ConfigParser()
    config.read(CONFIG_FILEPATH)

    P_BASIC_LENGTH_STATS = config.getboolean(STATS_SECTION, "P_BASIC_LENGTH_STATS")
    P_INTERVAL_STATS = config.getboolean(STATS_SECTION, "P_INTERVAL_STATS")
    P_WORDS_COUNT = config.getboolean(STATS_SECTION, "P_WORDS_COUNT")
    WORDS_COUNT_LIMIT = config.getint(STATS_SECTION, "WORDS_COUNT_LIMIT")
    P_WORDS_USEDJUSTBY = config.getboolean(STATS_SECTION, "P_WORDS_USEDJUSTBY")
    P_DELAY_STATS = config.getboolean(STATS_SECTION, "P_DELAY_STATS")
    P_EMOTICONS_STATS = config.getboolean(STATS_SECTION, "P_EMOTICONS_STATS")
    P_LEXICAL_STATS = config.getboolean(STATS_SECTION, "P_LEXICAL_STATS")

    #conv = Conversation(filepath)
    conv = ConversationDataframe(filepath)
    conv.loadMessages(numMsgs)

    if P_BASIC_LENGTH_STATS:
        stats = conv.stats.generateStats(IConvStats.STATS_NAME_BASICLENGTH)
        mio.printBasicLengthStats(stats)

    if P_INTERVAL_STATS:
        start, end, interval = conv.stats.getIntervalStats()
        days = conv.stats.getDaysWithoutMessages()
        mio.printIntervalStatsFor(start, end, interval, days)

    if P_LEXICAL_STATS:
        stats = conv.stats.generateStats(IConvStats.STATS_NAME_LEXICAL)
        mio.printLexicalStats(stats)

    if P_WORDS_COUNT:
        filepath = conv.statsFolder + '\\' + 'wordCount.txt'
        stats = conv.stats.generateStats(IConvStats.STATS_NAME_WORDCOUNT)
        mio.printDataFrameToFile(stats, filepath)

    #Works just with two senders
    if P_WORDS_USEDJUSTBY:
        mio.printWordsUsedJustByToFile(conv)

    if P_EMOTICONS_STATS:
        stats = conv.stats.generateStats(IConvStats.STATS_NAME_EMOTICONS)
        mio.printEmoticonsStats(stats)
    def getConversation(filepath):
        conv = ConversationDataframe(filepath)
        conv.loadMessages(0)

        #anonymise conversation
        if PlottingTestCase.anonymise:
            sendersAliases = ['Donnie', 'Frank']
            if len(sendersAliases) == len(conv.senders):
                aliasesMap = {key:sendersAliases[i] for i, key in enumerate(conv.senders)}
                conv.messages.replace({'sender':aliasesMap}, inplace=True)
                conv.senders = sendersAliases

        return conv
Esempio n. 4
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    def getConversation(filepath):
        conv = ConversationDataframe(filepath)
        conv.loadMessages(0)

        #anonymise conversation
        if PlottingTestCase.anonymise:
            sendersAliases = ['Donnie', 'Frank']
            if len(sendersAliases) == len(conv.senders):
                aliasesMap = {key:sendersAliases[i] for i, key in enumerate(conv.senders)}
                conv.messages.replace({'sender':aliasesMap}, inplace=True)
                conv.senders = sendersAliases

        return conv
Esempio n. 5
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def init(_):
    parser = argparse.ArgumentParser(description='Conversation Analyzer')
    parser.add_argument('-p', metavar='conversationfilePath', dest='filepath')
    parser.add_argument('-n', metavar='numberOfMessages', type=int,
                        dest='numMsgs', default=0)
    parser.add_argument('-l', metavar='wordsCountLimit', type=int,
                        dest='wCountLimit', default=20)

    args = parser.parse_args()
    filepath = args.filepath
    numMsgs = args.numMsgs
    wCountLimit = args.wCountLimit

    initLogger()
    #conv = ConversationDataframe(mio.getResourcesPath() + "\\unittest\\test_plotting.txt")
    conv = ConversationDataframe(filepath)
    conv.loadMessages(numMsgs)
    return

    res = conv.messages.rename(columns={'text':'numMsgs'})
    res['lenMsgs'] = res['numMsgs'].apply(lambda x: len(x))
    x = pd.to_numeric(res['hour'])
    testCorrelation(x, res['lenMsgs'])
Esempio n. 6
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 def getConversation(self, filepath):
     #conv = Conversation(filepath)
     conv = ConversationDataframe(filepath)
     conv.loadMessages(0)
     return conv
 def getConversation(self, filepath):
     #conv = Conversation(filepath)
     conv = ConversationDataframe(filepath)
     conv.loadMessages(0)
     return conv