pytest.param：在 pytest.mark.parametrize 中可以作为一个指定的参数进行调用
获取数据库（网页端）数据，通过pytest.param包装成数据包用于pytest.mark.parametrize 中实现数据驱动调用。

import os
import pytest
import json
from json import decoder
# from common.basic_module.Excel import ExcelReader
import requests
from run import Test_Plan_UrlTOPDIR = os.path.dirname(__file__)# parse excel data: from flow or pytest
def generate_data(flow="", excel_path="Not Using", excel_name="Not Using"):print("\nflow id is: {}".format(flow))test_data = []if flow:response = requests.get(Test_Plan_Url + "=" + flow)if response.json()['success']:cases = response.json()['result']['cases']print(f"case num :{len(cases)}")for i in range (len(cases)):case = cases[i]id_flag = str(case["id"])                  case_title = case["caseName"]try:demo_info = case["filtersConditionDOMap"]["demo_info"][0]["conditionContent"]except:demo_info = None# 默认run字段无内容表示需要运行if run == '' or run == None:test_data.append(pytest.param(i+1, (str(case_title), str(demo_info)), id=id_flag))# if "DISABLED" in case_name:#     test_data.append([i+1, pytest.param((str(case_type), str(case_name), run_case), marks=pytest.mark.xfail), id_flag])# else:#     test_data.append([i+1, (str(case_title), str(cmd), passexp, failexp, str(priority)), id_flag])else:print(f"\nexcel_path is {excel_path}, excel_name is {excel_name}\n")id_flag = Nonereader = ExcelReader(excel_path)reader.set_sheet(excel_name)start_line = 2for i in range(start_line,reader.rows):row_list = []for row in reader.sheet[i]:row_list.append(row.value)test_data.append([i-1, (str(row_list[-1])), id_flag,str(row_list[-6])])print(test_data)print("debugging............\n")print(type(test_data))# execlcase顺序（导入顺序）和flow中id是对应的,但是flow传过来的case无序,需要按照case_id排序.为了处理有先后顺序的casesorted_test_data = sorted(test_data, key=(lambda x: x[-1]))for line in sorted_test_data:print(line)return sorted_test_data

测试函数中使用如下：

    @pytest.mark.parametrize("num_id, case_info", generate_data(FLOW_TEST_ID))def test_qemu(self, num_id, case_info):demo_info = case_info[1]pass