如何从 ddt Python 中的 JSON 文件中读取数据

Question

I am using ddt with python. I have code to read csv which looks like this -

import csv

def getcsvdata(filename):
    rows = []
    datafile = open(filename, "r")
    reader = csv.reader(datafile)
    next(reader)
    for row in reader:
        rows.append(row)
    return rows

How can I skip rows from a 'specified number of row' to 'specified number of row'? In above code next (reader) is skipping header row.

Along-with I need to know how to read data from a JSON file? example JSON file-

{
    {
        "email": "amit@some.com",
        "passowrd": "123@123"
    },
    {
        "email": "tanvi@some.com",
        "passowrd": "123@456"
    },
    {
        "email": "tc.u@some.io",
        "passowrd": "123@789"
    }
}

Answer 1

The only thing you need is the library json .

Python usually gets shipped with this lib included.

import json

def getJsonData(filepath):
    return json.load(open(filepath))

data = getJsonData("the/file/path.json")
for item in data:
    print(f"email -> {item['email']}")
    print(f"password -> {item['password']}")

# output:
# email -> amit@some.com
# password -> 123@123
# email -> tanvi@some.com
# password -> 123@456
# email -> tc.u@some.io
# password -> 123@789

Answer 2

This is what I have done using json with ddt.

[
    {
        "email": "amit@some.com",
        "passowrd": "123@123"
    },
    {
        "email": "tanvi@some.com",
        "passowrd": "123@456"
    },
    {
        "email": "tc.u@some.io",
        "passowrd": "123@789"
    }
]

Then write your tests more like this.

import unittest
from ddt import ddt, data, unpack, file_data

@ddt
class TestCase(unittest.TestCase):
"""Some test case """

    @file_data('test.json')
    def test_email_and_username(self, email, password):
        """This tests some stuff"""
        do some assertions here

Answer 3

Need to use json.

import json
json.loads(file object)