python工具——Mimesis

Mimesis是一个用于Python的高性能伪数据生成器, 支持多种不同的语言

可以用来生成各种测试数据、假的 API 、任意结构的 JSON 、XML 数据

安装

pip install mimesis

eg:

from mimesis import Person

person = Person('zh')
print(f'name: {person.surname() + "" + person.name()}')
print(f'sex: {person.sex()}')
print(f'academic degree: {person.academic_degree()}')
print(f'occupation: {person.occupation()}')
email = person.email(domains=['126.com'])
print(f'email: {email}')
phone = person.telephone(mask='132-8###-5##3')
print(f'telephone: {phone}')

结果

 查看 Person 对象里面都有什么数据

from mimesis import Person
from pprint import pprint
person = Person('zh')
pprint(vars(person))

数据结构

{'_data': {'academic_degree': ['学士', '研究生', '博士'],
           'gender': ['男性', '女性'],
           'language': ['南非语',
                        ……
                        '中文',
                        '祖鲁语'],
           'names': {'female': ['朵雯',
                                ……
                                '若未'],
                     'male': ['彦龙',
                              ……
                              '清妍']},
           'nationality': ['阿尔及利亚',
                           ……
                           '南乔治亚岛和南桑威奇群岛'],
           'occupation': ['民意代表',
                          ……
                          '职业运动员'],
           'political_views': ['社会主義', '民主', '共産'],
           'sexuality': ['异性恋', '同性恋', '双性恋', '无性恋'],
           'surnames': ['',
                        ……
                        '司空'],
           'telephone_fmt': ['+86 ###-########'],
           'title': {'female': {'academic': ['工学硕士',
                                             ……
                                             '教授'],
                                'typical': ['小姐', '女士']},
                     'male': {'academic': ['工学硕士',
                                           ……
                                           '教授'],
                              'typical': ['先生']}},
           'university': ['北京大学',
                          ……
                          '新疆工业职业技术学'],
           'views_on': ['負面', '正面', '中立'],
           'worldview': ['无神论', '不可知論', '自然神論', '泛神论', '儒教']},
 '_data_dir': WindowsPath('D:/Python37/lib/site-packages/mimesis/data'),
 '_datafile': 'person.json',
 '_store': {'age': 0},
 'locale': 'zh',
 'random': <mimesis.random.Random object at 0x0000000002A41EA8>,
 'seed': None}

除了Person ,还有 food、 address、transport、Business 等对象提供的相应假数据

生成json数据

eg:

data.py

from mimesis.schema import Field,Schema
from mimesis.enums import Gender
_ = Field('zh')
schema = Schema(schema=lambda: {
    'id': _('uuid'),
    'name': _('person.name'),
    'version': _('version', pre_release=True),
    'timestamp': _('timestamp', posix=False),
    'owner': {
        'email': _('person.email', domains=['test.com'], key=str.lower),
        'token': _('token_hex'),
        'creator': _('full_name', gender=Gender.FEMALE)
    },
    'address': {
        'country': _('address.country'),
        'province': _('address.province'),
        'city': _('address.city')
    }
})

使用FastAPI(FastAPI

from fastapi import FastAPI
from data import schema
app = FastAPI()

@app.get("/")
def home():
    # 生成数据
    testData = schema.create(iterations=2)
    return testData

运行

 uvicorn main:app

访问http://127.0.0.1:8000/

结果

[
    {
        "id": "aebd4f31-3dfe-4c9d-a3e9-ef3a0b88007a",
        "name": "江燕",
        "version": "1.8.3-rc.1",
        "timestamp": "2020-05-08T22:25:47Z",
        "owner": {
            "email": "boobies1874@test.com",
            "token": "136bfa9e7771842dae3758de2cf5997f0fcfd39b56b6063f11e6123638e7d951",
            "creator": "袭韵 欧"
        },
        "address": {
            "country": "中華民國",
            "province": "青海省",
            "city": "开封市"
        }
    },
    {
        "id": "69ed6ad2-5430-4627-ab36-73c2df4a9ca2",
        "name": "绵恩",
        "version": "4.3.4-alpha.2",
        "timestamp": "2001-11-12T15:29:39Z",
        "owner": {
            "email": "awatch1835@test.com",
            "token": "b352bcc3c446650c2682bfc09a068acc4d0b60583cbb0e241f7fd44d02e43d89",
            "creator": "乐轩 乌"
        },
        "address": {
            "country": "中華民國",
            "province": "陕西省",
            "city": "黄石市"
        }
    }
]

文档 https://mimesis.readthedocs.io/api.html

 

posted @ 2021-01-13 12:31  慕尘  阅读(1040)  评论(0编辑  收藏  举报