Moto
responses
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Moto | responses | |
---|---|---|
32 | 12 | |
7,374 | 4,040 | |
1.2% | 0.5% | |
9.9 | 8.0 | |
6 days ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Moto
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OpenTF Announces Fork of Terraform
> OpenMoto
I dunno if you're trying to play on "hashimoto" but https://github.com/getmoto/moto#readme would be a prime name collision for any such "OpenMoto" name
But yes, please, to adopting Vault. I don't have a horse in the race about Consul but my suspicion is such an effort would only be worthwhile if trying to adopt Nomad, too, which I gravely doubt
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Class Credentials does not exist
Unfortunately I do not believe AWS provides any "test" gateways. I do know there are mock AWS servers you can run on your own. The one I use is called Moto. It does not cover everything (unfortunately it's the most comprehensive out there AFAIK), but it's decent enough to test most standard calls via the sdk. I'm not sure if it covers authorization though...we tend to use security roles on tasks for authorization.
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What is the development enviroment for AWS?
If using Python use Moto to mock AWS Services
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Unit testing Athena ETL?
You can use a library such as moto https://github.com/getmoto/moto
- Looking for resources for building unit testing for boto3 code and mocking AWS services in pytest
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Guide to AWS Serverless & Lambda Testing Best Practices — Part 1
The Pythonic motto library mocks AWS services, removing the need to deploy your application or pay for API calls against AWS services. Other programming languages have their motto implementation.
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Mock AWS Services on Docker
Has anyone managed to configure moto (https://docs.getmoto.org/en/latest/) in a docker container in the similar way LocalStack does?
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Unit Testing an Airflow Dag
As for mocking, you can take a look at the moto library for mocking the AWS SDK, or for more simple cases even just use a `unittest.Mock/MagicMock` object. If you're having trouble trying to use the mocks in your code, it's a good sign your code is too highly coupled and it'd pay to re-factor, for example using dependency injection, design patterns like adapter/facade etc. (but don't over-do it)
- Final FLiP Stack Weekly of 2022
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Do unit tests make sense here?
To add on to the integration tests point, for mocking out your AWS resources you should check out moto if you don't want run your test against real AWS resources as they may cost you and is usually slower.
responses
- Please recommend a good API Mocking tool
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Useful libraries for integration/api testing
I use responses for this (for HTTP/HTTPS requests), to great affect. It's API is very nice. We have an API layer at work that's basically just a proxy to micro services, and responses is what we use to test it.
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How I start every new Python backend API project
responses
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Mocking api request?
Please format your code appropriately. But if you are using python requests you can use responses for mocking requests: https://github.com/getsentry/responses
- We Just Gave $260,028 to Open Source Maintainers
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best way to test requests and responses in pytest?
You can use this https://github.com/getsentry/responses
- What's the use case for Responses library?
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Am new to Testing, Should I test Functions that Return a Queryset?
The repsonses library is designed for mocking requests during tests https://github.com/getsentry/responses
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Testing for API data (python)
I like using responses for mocking API calls in unit tests. It's easy to use and has less boilerplate than doing the mocks yourself. The bulk of your unit tests should be around any data transformation you do, and unit testing them should be fairly straightforward. I'd recommend writing integration tests as well, especially as IME the most common reason why data pipelines with API sources break is due to breaking API changes out of your control. I'd make them as high level as possible and make real API calls, preferably using credentials for a designated testing account. Assert the response from the API call conforms to the contract you expect. Additionally to integration test your code, you can test the main entrypoint to your script and make sure it spits out a file with the shape and contents you expect.
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Two Methods for Testing HTTPS API Calls with Python and pytest and also Communicating with the In-laws
HTTP client library flexibility. Yes, requests pairs well with responses or requests-mock, and HTTPX has RESPX or pytest_httpx. Those testing helpers are an excellent match for the corresponding library, and should certainly be recommended. However, I don't always want to face the risk of rewriting all my tests if I replace the client library some day. And sometimes I am using an altogether different tool (even though both requests and HTTPX are quite awesome) such as urlopen, urllib3, httplib2, tornado, or aiohttp.
What are some alternatives?
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module
aws-sdk-go - AWS SDK for the Go programming language.
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack
httmock - A mocking library for requests
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
freezegun - Let your Python tests travel through time
pytest-recording - A pytest plugin that allows recording network interactions via VCR.py
Mocket - a socket mock framework - for all kinds of socket animals, web-clients included
mock - The Python mock library