用ChatGPT生成测试数据

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在之前的文章用ChatGPT写一个数据采集程序中，我们演示了如何用 ChatGPT 辅助编写代码。

除了直接让ChatGPT写代码，我们也可以让它生成一些开发中使用的测试数据。

比如在开发和测试时，常会用到 JSON 格式的数据：

[{"id": 1,"name": "John Smith","age": 28,"gender": "male","email": "john.smith@example.com","address": "123 Main Street, City","phone": "123-456-7890"},{"id": 2,"name": "Jane Doe","age": 32,"gender": "female","email": "jane.doe@example.com","address": "456 Oak Avenue, Town","phone": "987-654-3210"},{"id": 3,"name": "David Johnson","age": 45,"gender": "male","email": "david.johnson@example.com","address": "789 Elm Street, Village","phone": "555-123-4567"},{"id": 4,"name": "Emily Williams","age": 21,"gender": "female","email": "emily.williams@example.com","address": "321 Pine Avenue, Town","phone": "777-888-9999"}
]

如果对数据内容或结构不满意，可以让ChatGPT做进一步修改，比如增加一个存在重复数据的字段：

[{"id": 1,"name": "John Smith","age": 28,"gender": "male","email": "john.smith@example.com","address": "123 Main Street, City","phone": "123-456-7890","occupation": "engineer"},{"id": 2,"name": "Jane Doe","age": 32,"gender": "female","email": "jane.doe@example.com","address": "456 Oak Avenue, Town","phone": "987-654-3210","occupation": "doctor"},{"id": 3,"name": "David Johnson","age": 45,"gender": "male","email": "david.johnson@example.com","address": "789 Elm Street, Village","phone": "555-123-4567","occupation": "teacher"},{"id": 4,"name": "Emily Williams","age": 21,"gender": "female","email": "emily.williams@example.com","address": "321 Pine Avenue, Town","phone": "777-888-9999","occupation": "engineer"}
]

数据的格式也可以很方便地调整，比如从JSON换成XML：

<users><user><id>1</id><name>John Smith</name><age>28</age><gender>male</gender><email>john.smith@example.com</email><address>123 Main Street, City</address><phone>123-456-7890</phone><occupation>engineer</occupation></user><user><id>2</id><name>Jane Doe</name><age>32</age><gender>female</gender><email>jane.doe@example.com</email><address>456 Oak Avenue, Town</address><phone>987-654-3210</phone><occupation>doctor</occupation></user><user><id>3</id><name>David Johnson</name><age>45</age><gender>male</gender><email>david.johnson@example.com</email><address>789 Elm Street, Village</address><phone>555-123-4567</phone><occupation>teacher</occupation></user><user><id>4</id><name>Emily Williams</name><age>21</age><gender>female</gender><email>emily.williams@example.com</email><address>321 Pine Avenue, Town</address><phone>777-888-9999</phone><occupation>engineer</occupation></user>
</users>

有同学要说了，可以用 faker 模块来生成哎！

是的，但那样毕竟也要自己动手写代码，还可能时不时要调整。现在有ChatGPT的辅助，可以秒出数据，岂不是更轻松？

当然你也可以将二者结合，比如这样：

import random
from faker import Faker
import jsonfaker = Faker()def generate_user_data(num_users):users = []for _ in range(num_users):user = {"id": faker.random_number(digits=4),"name": faker.name(),"age": random.randint(18, 60),"gender": random.choice(["male", "female"]),"email": faker.email(),"address": faker.address(),"phone": faker.phone_number()}users.append(user)return usersnum_users = 4
user_data = generate_user_data(num_users)json_data = json.dumps(user_data, indent=4)
print(json_data)

以往在开发中，如果需要类似的测试数据，手动编写是非常耗时和低效的。现在，类似的很多编程辅助工作都可交由ChatGPT来处理，从而让开发者把时间花在更重要的事情之上。

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