Interface joint debugging test script optimization v4.0

introduction ： Next chapter Interface joint commissioning test script optimization v2.0, This chapter optimizes script parameters , Put the parameters into the file , After the implementation script is compiled once , Later, you only need to maintain files .

Catalog

Optimization task ：

Problems encountered ：

Script implementation ：

Summary ：

advantage ：

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Optimization task ：

Put the relevant interface test parameters into csv In file , Read the relevant parameters through the program , Pass it into the interface test script .

Problems encountered ：

Create a csv file , Write the interface parameters into the file ,csv The documents are as follows ：

1.   For common parameters url、expected_result、interfacename Just call it directly .
2. But because each interface has different parameters , The number of parameters is also different , You need to use the loop again to read .
   1. Here, the number of parameters is written directly in front of the parameters , Then define a j The variable is equal to the number of parameters .
   2. It's not hard to find out ,H Column starts as a loop index The value is 7, And the end value of the loop is 2*j+7.
   3. So the following different parameter data can be read in the loop , The code reference is as follows .

Script implementation ：

#  Use parameterization technology to optimize the test script of joint debugging of multiple interfaces 
import requests
import csv


class Workflow_Test_v4():
    def userinterface_test(self, url, userinfo, expected_result, interfacename):
        response = requests.post(url, data=userinfo).text
        print(response)
        r = response.find(expected_result)
        if r > 0:
            print(interfacename, " The test passed ")
        else:
            print(interfacename, " Test to fail ")


if __name__ == '__main__':
    workflowobj4 = Workflow_Test_v4()
    file = open("test1.csv", "r")
    table = csv.reader(file)
    for row in table:
        #  Read relevant contents line by line , And set it as the corresponding parameter 
        url = row[1]
        expected_result = row[3]
        interfacename = row[5]
        # print("url yes ：", url, "  ", "expected_result yes ：", expected_result, "  ","interfacename yes ：", interfacename)
        #  Read interface test data 
        userinfo = {}
        j = int(row[6])
        for i in range(7, 2*j+7, 2):
            userinfo[row[i]] = row[i+1]
        # print(userinfo)
        #  Instantiate the test class , Incoming test data 
        workflowobj4.userinterface_test(url, userinfo, expected_result, interfacename)

Summary ：

• The problem of script parameterization is mainly to find the rules of parameters
• Common parameters are ：
  1. url： Interface access address
  2. expected_result： The interface responds to the expected results
  3. interfacename： The name of the interface
• Parameters of personality ： Interface test data is different
  1. Manually count the number of test data , Write it into the test data template
  2. Circulation mode ： Find the law of circulation , Just analyze a few values
     1. Initial value ----index = 7
     2. Termination value ----index = 2*j+7（ because python Can't get the last place , So take it as the end value of the range ）
     3. Change a few at a time ---- Because parameters have two values: key value and attribute , So when taking down a parameter , want i+2.
  3. Save the found parameters in the dictionary ： Dictionary name [key] = value namely userinfo[row[i]] = row[i+1]

advantage ：

Future interface tests , You only need to maintain the document of interface test data , There is no need to modify any code .