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将中文时间表达词转为相应的时间

Project description

Chinese_Time_NLP

PyPI Python Version Code style: black

简介

这是 Time-NLP 的 Python3 版本。
相关链接:

配置

可以传入自定义的 pattern,默认 pattern 也可以通过 from chinese_time_nlp import pattern 导入。

TimeNormalizer(isPreferFuture=True, pattern=None):

对于下午两点、晚上十点这样的词汇,在不特别指明的情况下,默认返回明天的时间点。

安装使用

安装:

pip install ChineseTimeNLP

使用:

from chinese_time_nlp import TimeNormalizer
tn = TimeNormalizer()
res = tn.parse(target=u"三天后")  # target 为待分析语句,baseTime 为基准时间默认是当前时间
print(res)

本地开发

开发前安装依赖

pip install -r requirements.txt

在本地安装

python setup.py install

生成包:

# 按照不同系统生成
python setup.py sdist bdist_wheel

功能说明

用于句子中时间词的抽取和转换
详情请见 Test.py

tn = TimeNormalizer(isPreferFuture=False)

res = tn.parse(target=u'星期天晚上')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(target=u'晚上8点到上午10点之间')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(
    target=u'2013年二月二十八日下午四点三十分二十九秒',
    baseTime='2013-02-28 16:30:29')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(
    target=u'我需要大概33天2分钟四秒',
    baseTime='2013-02-28 16:30:29')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(target=u'今年儿童节晚上九点一刻')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(target=u'三日')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(target=u'7点4')  # target为待分析语句,baseTime为基准时间默认是当前时间
print(res)
print('====')

res = tn.parse(target=u'今年春分')
print(res)
print('====')

res = tn.parse(target=u'7000万')
print(res)
print('====')

res = tn.parse(target=u'7百')
print(res)
print('====')

res = tn.parse(target=u'7千')
print(res)
print('====')

结果:

目标字符串:  星期天晚上
基础时间 2019-7-28-15-47-27
temp ['星期7晚上']
{"type": "timestamp", "timestamp": "2019-07-28 20:00:00"}
====
目标字符串:  晚上8点到上午10点之间
基础时间 2019-7-28-15-47-27
temp ['晚上8点', '上午10点']
{"type": "timespan", "timespan": ["2019-07-28 20:00:00", "2019-07-28 10:00:00"]}
====
目标字符串:  2013年二月二十八日下午四点三十分二十九秒
基础时间 2013-2-28-16-30-29
temp ['2013年2月28日下午4点30分29秒']
{"type": "timestamp", "timestamp": "2013-02-28 16:30:29"}
====
目标字符串:  我需要大概33天2分钟四秒
基础时间 2013-2-28-16-30-29
temp ['33天2分钟4秒']
timedelta:  33 days, 0:02:04
{"type": "timedelta", "timedelta": {"year": 0, "month": 1, "day": 3, "hour": 0, "minute": 2, "second": 4}}
====
目标字符串:  今年儿童节晚上九点一刻
基础时间 2019-7-28-15-47-27
temp ['今年儿童节晚上9点1刻']
{"type": "timestamp", "timestamp": "2019-06-01 21:15:00"}
====
目标字符串:  三日
基础时间 2019-7-28-15-47-27
temp ['3日']
{"type": "timestamp", "timestamp": "2019-07-03 00:00:00"}
====
目标字符串:  7点4
基础时间 2019-7-28-15-47-27
temp ['7点4']
{"type": "timestamp", "timestamp": "2019-07-28 07:04:00"}
====
目标字符串:  今年春分
基础时间 2019-7-28-15-47-27
temp ['今年春分']
{"type": "timestamp", "timestamp": "2019-03-21 00:00:00"}
====
目标字符串:  7000万
基础时间 2019-7-28-15-47-27
temp ['70000000']
{"type": "error", "error": "no time pattern could be extracted."}
====
目标字符串:  7百
基础时间 2019-7-28-15-47-27
temp []
{"type": "error", "error": "no time pattern could be extracted."}
====
目标字符串:  7千
基础时间 2019-7-28-15-47-27
temp []
{"type": "error", "error": "no time pattern could be extracted."}
====

使用方式

Test.py

TODO

问题 现在版本 正确
晚上8点到上午10点之间 ["2018-03-16 20:00:00", "2018-03-16 22:00:00"] ["2018-03-16 20:00:00", "2018-03-17 10:00:00"]"

声明

fork 自 zhanzecheng/Time_NLP,为了适合自己的编程习惯,删除了代码中部分文件的头部注释信息,信息格式如下,特此声明:

# -*- coding: utf-8 -*-
# @Time    : xxxxxxxx
# @Author  : zhm
# @File    : xxxxx
# @Software: PyCharm
# @Changed : tianyuningmou

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