生成模拟数据的包
pymocko的Python项目详细描述
皮莫科
这是为了生成模拟数据
安装：
python -m pip install pymocko
开发环境：
^{pr2}$运行测试用例：
cd ..
python run.py
使用的版本
Python 3.7.5
使用
通过模型print("Mock model")
print(model.mock(schema_json={"id":"num", "name":"word", "qty":"num", "unit_price":"price", "created_at":"date", "updated_at":"date"}, count=5))
print(model.mock(schema_json={"id":"num", "user_name":"word", "name":"word", "dob":"date", "phone_no":"char", "email":"word", "gender":"word", "ip_address":"char"}, count=5))
print(model.mock(schema_json={"id":"num", "name":"word", "qty": { "stocked": "num", "online": "num" }, "price":[ { "unit_price":"price", "effective_date": "date"} ], "created_at":"date", "updated_at":"date"}, count=3))
print(model.mock(schema_json={"id":"num", "name":"word", "tags": ["word"], "reference_names": [ "word" ], "qty": { "stocked": "num", "online": "num" }, "price":[ { "unit_price":"price", "effective_date": "date"} ], "created_at":"date", "updated_at":"date"}, count=3))
随机编号：
from pymocko import num
print(num.mock())
print(num.mock(f=1, t=10))
print(num.mock(f=1, t=1000, neg=True))
随机价格：
from pymocko import price
print(price.mock())
print(price.mock(f=1000, t=10000))
print(price.mock(f=0, t=2500, decimal=0))
print(price.mock(f=0, t=2500, decimal=4))
print(price.mock(f=0, t=2500, neg=True))
随机日期：
from pymocko import date
print(date.mock())
print(date.mock(f=datetime.datetime(2020,6,1)))
随机字符：
from pymocko import char
print(char.mock())
print(char.mock(no_of_char=20,number_inc=True))
print(char.mock(no_of_char=30,number_inc=True,special_inc=True))
随机化单词/句子：
from pymocko import word
print(word.mock())
print(word.mock(no_of_word=20))
print(word.mock(no_of_word=10, upper_first=True))
print(word.mock_phone())
print(word.mock_phone(prefix="+84"))
print(word.mock_email())
print(word.mock_email(domain="data.com"))
print(word.mock_gender())
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