python + ddt + unittest + excel + request implement an interface automation

Interface automated testing process: Requirement Analysis - case design - script development - test execution - Analysis Results 
1. Obtaining interface document, the document acquisition request, the transmission protocol in accordance with the request parameters, the response parameters, by determining whether the test design with Example 
2 script development: interface calls, the results of verification 
3. perform test 
4. Submit report message 
5. results analysis 

package read excel, a Dictionary

to xlrd Import 
from the conf Import * 


class ExcelUtil (): 

    '' 'taken from the test excel, the output is [Column Name {1: 1 in the first column, column name 2: first column 2}, {1 column names: a second column, the column name 2: The second column 2} ...] '' '

    the __init __ DEF (Self, excelPath, sheetIndex = 0): 
        self.data = xlrd.open_workbook (excelPath) 
        self.table = self.data.sheet_by_index (sheetIndex) 
        # Get the first row as the key value 
        self.keys = self.table. row_values (0) 
        # Get the number of rows 
        self.rowNum = self.table.nrows 
        # acquires the total number of columns 
        self.colNum = self.table.ncols 

    DEF dict_data (Self): 
        IF self.rowNum <=. 1: 
            Print ( "total number of rows less than. 1 ") 
        the else: 
            R & lt = [] 
            J =. 1 
            for I in List (Range (-self.rowNum. 1)): 
                S = {} 
                # corresponding to the values taken from the second row of values 
                s [ 'rowNum'] = i + 2
                values = self.table.row_values(j)
                # print(values)
                for x in list(range(self.colNum)):
                    s[self.keys[x]] = values[x]
                r.append(s)
                j += 1
            return r

if __name__ == "__main__":
    filepath = xlsPath+'/test.xlsx'
    sheetIndex = 0
    data = ExcelUtil(filepath, sheetIndex)
    print(data.dict_data())
返回结果：[{'姓名': 1.0, '年龄': 18.0}, {'姓名': 1.0, '年龄': 20.0}]

使用ddt数据驱动读取Excel数据
#usr/bin/python
#encoding:utf-8
from ddt import ddt, data, unpack
import unittest
from debug import ExcelUtil
from conf import *
filepath = xlsPath + '/test.xlsx'
sheetIndex = 0
s = ExcelUtil(filepath, sheetIndex).dict_data()
@ddt
class DoubanTest(unittest.TestCase):
    @classmethod
    def setUp(self):
        print("****Start Test*******")
    @classmethod
    def tearDown(self):
        print("****End Test*******")
    # @data([1, 2, 3, 6])
    # @unpack
    # def test_add(self,testdata1,testdata2,testdata3,exceptdata):
    #     sum = testdata1 + testdata2 + testdata3
    #     self.assertEqual(sum,exceptdata)
    @data(*s)
    def test_print(self,a):
        print(a)

if __name__=='__main__':
    unittest.main()

Return result:

The Start the Test ******* ****
{ 'rowNum': 2, 'Name': 1.0, 'Age': 18.0}
**** ******* the Test End
**** the Start ******* the Test
{ 'rowNum':. 3, 'name': 1.0, 'Age': 20.0}
**** ******* the Test End