Mock automation testing framework index.
GoMock is a mocking framework for the Go programming language.
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Mock is lincensed under the Apache License 2.0
How to send a POST request with data in Node.js?
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What is the proper way to make a node.js post request
with data in Node.js?
I need to send an outbound HTTP POST request with some data in Node.js. How can I achieve this using the appropriate libraries or methods?
I’ve worked with HTTP requests in Node.js quite a bit, and one common scenario is testing APIs. Here’s an example of how to mock an HTTP POST request using pytest-mocker
in Python, simulating a real API call in a testing environment. This approach is useful when you don’t want to send actual requests while running tests.
import pytest
import requests
def post_code(codestring):
url = 'https://closure-compiler.appspot.com/compile'
data = {
'compilation_level': 'ADVANCED_OPTIMIZATIONS',
'output_format': 'json',
'output_info': 'compiled_code',
'warning_level': 'QUIET',
'js_code': codestring
}
response = requests.post(url, data=data)
return response.json()
def test_post_code(mocker):
mock_response = mocker.Mock()
mock_response.json.return_value = {'compiledCode': 'someCompiledCode'}
# Mock the requests.post method to avoid hitting the actual API
mocker.patch('requests.post', return_value=mock_response)
result = post_code('var x = 10;')
assert result['compiledCode'] == 'someCompiledCode'
That’s a great approach for testing, But if you’re actually working with real-world APIs and don’t need mocking, you can directly use requests
to send a node js post request
. This is helpful when debugging or interacting with an external API in production.
import requests
def post_code(codestring):
url = 'https://closure-compiler.appspot.com/compile'
data = {
'compilation_level': 'ADVANCED_OPTIMIZATIONS',
'output_format': 'json',
'output_info': 'compiled_code',
'warning_level': 'QUIET',
'js_code': codestring
}
response = requests.post(url, data=data)
return response.json()
# Calling the function
result = post_code('var x = 10;')
print(result)
This approach ensures that you are actually hitting the API and getting real responses instead of mocked ones.
Both of your points make sense! Tom’s mocking method is great for testing, and Toby’s direct approach is good for production. But if you’re working with unittest.mock
instead of pytest-mocker
, here’s how you can mock a node js post request
without using an external library.
import requests
from unittest import mock
def post_code(codestring):
url = 'https://closure-compiler.appspot.com/compile'
data = {
'compilation_level': 'ADVANCED_OPTIMIZATIONS',
'output_format': 'json',
'output_info': 'compiled_code',
'warning_level': 'QUIET',
'js_code': codestring
}
response = requests.post(url, data=data)
return response.json()
def test_post_code():
mock_response = mock.Mock()
mock_response.json.return_value = {'compiledCode': 'someCompiledCode'}
with mock.patch('requests.post', return_value=mock_response):
result = post_code('var x = 10;')
assert result['compiledCode'] == 'someCompiledCode'
This works just like the pytest-mocker
example but without needing additional dependencies, which can be useful if you’re sticking to standard libraries.
Description:
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Description:
Verify that the API response contains the correct resource representation based on the specified locale (e.g. en-US, fr-FR).
Description:
Verify that the API correctly handles CORS preflight requests and returns the correct HTTP status code and error message.
Description:
Check all pages for broken links.
Mock can be downloaded from it’s GitHub repository - https://github.com/golang/mock
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A reverse proxy server that records and replays HTTP responses
k6 provides a clean, approachable scripting API, local and cloud execution, and flexible configuration.
Selenoid is a powerful implementation of Selenium hub using Docker containers to launch browsers
Simulate system and network conditions using a TCP proxy to perform testing
Keploy is a no-code API testing platform that generates tests-cases and data-mocks from API calls. Dependency-mocks are automatically generated with the recorded request/responses.
Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework
Fuel is the easiest HTTP networking library for Kotlin/Android. Offers maven and jitpack installations.
SitePrism gives you a simple, clean and semantic DSL for describing your site using the Page Object Model pattern, for use with Capybara in automated acceptance testing.
Gherkin is a parser and compiler for the Gherkin language. Gherkin Ruby can be used either through its command line interface (CLI) or as a library.
factory_bot is a fixtures replacement with a straightforward definition syntax , support for multiple build strategies and support for multiple factories.
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