网站建设费用分类_广州市建设企业网站报价_网络推广学校_产品运营方案

1、数据源是yaml

安装yaml，使用safe_load方法读取文件，解析出数据

pip install PyYAML

# test_data.yaml
test_case_1:a: 2b: 3expected_result: 5test_case_2:a: -1b: 10expected_result: 9test_case_3:a: 0b: 0expected_result: 0

# test_code.pyimport yaml
import pytest
from code import adddef load_test_data():with open('test_data.yaml', 'r') as file:test_data = yaml.safe_load(file)return test_data@pytest.mark.parametrize("input_data", load_test_data().values())
def test_add(input_data):a = input_data['a']b = input_data['b']expected_result = input_data['expected_result']result = add(a, b)assert result == expected_result, f"计算错误：{a} + {b} 应该得到 {expected_result}，实际得到 {result}"# code.pydef add(a, b):return a + b

2、数据源是excel

| Test Case | Operand A | Operand B | Expected Result |
|-----------|------------|------------|------------------|
| Case 1    | 2          | 3          | 6                |
| Case 2    | -1         | 5          | -5               |
| Case 3    | 0          | 10         | 0                |

安装库，然后调用方法读取excel中每一行数据

pip install openpyxl

# test_code.pyimport pytest
from openpyxl import load_workbook
from code import multiplydef load_test_data():workbook = load_workbook('test_data.xlsx')sheet = workbook.activetest_data = []for row in sheet.iter_rows(min_row=2, values_only=True):test_data.append(row)return test_data@pytest.mark.parametrize("test_case, operand_a, operand_b, expected_result", load_test_data())
def test_multiply(test_case, operand_a, operand_b, expected_result):result = multiply(operand_a, operand_b)assert result == expected_result, f"测试用例 {test_case} 失败：{operand_a} * {operand_b} 应该得到 {expected_result}，实际得到 {result}"# code.pydef multiply(a, b):return a * b

3、数据源是csv

operand_a,operand_b,expected_result
2,3,6
-1,5,-5
0,10,0
0.5,2,1
0.5,0.5,0.25

导入csv模块，然后调用DictReader方法，读取csv中每一行数据生成一个列表

[{"test_case": "Case 1","operand_a": 2,"operand_b": 3,"expected_result": 5},{"test_case": "Case 2","operand_a": -1,"operand_b": 10,"expected_result": 9},{"test_case": "Case 3","operand_a": 0,"operand_b": 0,"expected_result": 0}
]

# test_code.pyimport csv
import pytest
from code import multiplydef load_test_data():test_data = []with open('test_data.csv', newline='') as csvfile:reader = csv.DictReader(csvfile)for row in reader:test_data.append(row)return test_data@pytest.mark.parametrize("data", load_test_data())
def test_multiply(data):operand_a = int(data['operand_a'])operand_b = int(data['operand_b'])expected_result = int(data['expected_result'])result = multiply(operand_a, operand_b)assert result == expected_result, f"{operand_a} * {operand_b} 应该得到 {expected_result}，实际得到 {result}"# code.pydef multiply(a, b):return a * b

4、数据源是json

导入json模块，解析数据，然后传参

# test_code.pyimport json
import pytest
from code import adddef load_test_data():with open('test_data.json', 'r') as file:test_data = json.load(file)return test_data@pytest.mark.parametrize("data", load_test_data())
def test_add(data):operand_a = data['operand_a']operand_b = data['operand_b']expected_result = data['expected_result']result = add(operand_a, operand_b)assert result == expected_result, f"{operand_a} + {operand_b} 应该得到 {expected_result}，实际得到 {result}"# code.pydef add(a, b):return a + b