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 json
faker = 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 users
num_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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