From unstructured data to structured data.
Project description
Roseta
🧪 从「非结构化数据」到「结构化数据」!
如果需求多,就开始做,否则就慢慢推进~
- 欢迎「提需求」🎉;
- 欢迎「供数据」🎉。
1 功能
- 转化「长度」描述;
- 身高
- 胸围
- 腰围
- 臀围
- 肩宽
- 转化「重量」描述;
- 转化「城市」描述;
- 转化「年龄」描述;
- 转化「罩杯」描述;
- 转化「日期」描述;
- 转化「地点」描述。
2 安装
pip install roseta -U
# or
git clone https://github.com/Ailln/roseta.git
cd roseta && python setup.py install
3 使用
from roseta import trans
## 转化「长度」
num, unit = trans("一米八")
# (180, 'cm')
num, unit = trans("1.8米", cls="length", unit="cm")
# (180.0, 'cm')
num, unit = trans("180厘米", unit="m")
# (1.8, 'm')
num, unit = trans("两尺")
# (66.67, 'cm')
num, unit = trans("2.1尺", cls="length")
# (70.0, 'cm')
num, unit = trans("2尺", cls="length", unit="m")
# (0.6667, 'm')
## 转化「重量」
num, unit = trans("一斤八")
# (0.9, 'kg')
num, unit = trans("1.8公斤", cls="weight", unit="kg")
# (1.8, 'kg')
num, unit = trans("180kg", unit="g")
# (180000, 'g')
## 转化「城市」
text, unit = trans("杭州市")
# ('杭州市', '市')
text, unit = trans("杭州", cls="city")
# ('杭州市', '市')
text, unit = trans("杭州市", unit="省")
# ('浙江省杭州市', '省')
## 转化「年龄」
num, unit = trans("一岁")
# (1, 'year')
num, unit = trans("二个月", cls="age")
# (0.2, 'year')
num, unit = trans("二个月", unit="year")
# (0.2, 'year')
## 转化「罩杯」
# 类别不可以省略
num, unit = trans("c36", cls="cup")
# ([96, 80], 'cm'),96 为上胸围,80 为下胸围
num, unit = trans("九五F", cls="cup", unit="m")
# ([1.17, 0.95], 'm')
4 许可
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