#python #pytest #ddt #Json #DATA-DRIVEN

The article in continuation to the previous one, deals with parameterizing data to a given test from a json file

My json file looks like this: filename is myjson.json

Now I write a python module to fetch data from the json file: filename is readDataJ.py

import  pandas as pd

def getJSONData(fileName):    # create an empty list to store rows    rows = []
    # open the CSV file    # myJson = pd.read_json(fileName)    myJson=pd.read_json(fileName,orient="values")._get_values
    for row in myJson:        rows.append(row)
    return rows

 My script looks like this:

import pytest,unittest
from ddt import ddt, unpack, data
from readDataJ import getJSONData


@ddtclass Test_Class_1(unittest.TestCase):
    @data(*getJSONData("E:\Python-SeleniumFramework\pytest\dataDriven\json\\myjson.json"))
    # @unpack    def test_py_1(self,a):        for x in a:            print(x)

For details on pytest, ddt, pandas click the respective texts or search the blog.
Run the test
cmd > py.test -v -s test_dd.py

Output:

For more details refer to pandas