def chrono(ctx, app_id, sentence_file, json_flag, sentence, doc_time, request_id): # type: (Context, unicode, Optional[IO], bool, unicode, unicode, unicode) -> None # NOQA """Extract expression expressing date and time and normalize its value """ app_id = clean_app_id(app_id) sentence = clean_sentence(sentence, sentence_file) api = GoolabsAPI(app_id) ret = api.chrono( sentence=sentence, doc_time=doc_time, request_id=request_id, ) if json_flag: click.echo(format_json(api.response.json())) return for pair in ret['datetime_list']: click.echo(u'{0}: {1}'.format(text(pair[0]), pair[1]))
def get_promise_content(letter): api = GoolabsAPI(GOO_API_KEY) index = 0 # letter = "クリスマスに岩見と一緒に東京駅に来て" # 時刻情報正規化API # chrono_response = api.chrono(sentence=letter) # 固有表現抽出API entity_response = api.entity(sentence=letter) # 形態素解析API # morph_response = api.morph(sentence=letter) date = '' hour = '' min = '' place = '' for i in range(len(entity_response["ne_list"])): # 日付の抽出 if entity_response["ne_list"][i][1] == "DAT": day_response = api.chrono(sentence=entity_response["ne_list"][i][0]) if len(day_response['datetime_list']) != 0: date = day_response["datetime_list"][0][1] # 約束内容の要素番号を算出 day = entity_response["ne_list"][i][0] index = letter.find(day) + len(day) # 時間の抽出 elif entity_response["ne_list"][i][1] == "TIM": time_len = len(entity_response["ne_list"][i][0]) for j in range(time_len): if entity_response["ne_list"][i][0][j] == u"時": hour = entity_response["ne_list"][i][0][0:j] hour_n = j # 約束内容の要素番号を算出 time = entity_response["ne_list"][i][0] index = letter.find(time) + len(time) if j != time_len - 1: if entity_response["ne_list"][i][0][j + 1] == u"半": min = "30" elif entity_response["ne_list"][i][0][j] == u"分": min = entity_response["ne_list"][i][0][hour_n + 1:j] elif entity_response["ne_list"][i][1] == "LOC": place = entity_response["ne_list"][i][0] # 約束内容を出力 # 約束内容の最初の文字に格助詞が入ってるか調べる morph_response = api.morph(sentence=letter[index:len(letter)]) if morph_response["word_list"][0][0][1] == u"格助詞" or morph_response["word_list"][0][0][1] == u"読点": par_len = len(morph_response["word_list"][0][0][0]) content = letter[index + par_len:len(letter)] else: content = letter[index:len(letter)] return {'date': date, 'hour': hour, 'min': min, 'content': content, 'place': place}