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}