keploy
gomock
keploy | gomock | |
---|---|---|
70 | 40 | |
3,404 | 9,010 | |
2.6% | - | |
9.6 | 2.5 | |
7 days ago | 12 months ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
keploy
- First eBPF based mock generator(open source)
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Getting Started with Keploy
October is the month of Open Source and Keploy is taking part in this celebration. You can contribute to several Keploy projects by participating in this year’s Hacktoberfest. You can both contribute to the code part and the no-code part as well. Here are some contributions that you can make!
curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy
- Show HN: Keploy – eBPF-Driven API Mock and Test Generation from Prod Traffic
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6 AI Tools every developer must try
Keploy is an open-source, end-to-end (E2E) testing toolkit for developers. It creates test cases and data mocks/stubs by recording API calls, database queries, etc., making releases faster and more reliable. Keploy works by being added as a middleware to your application. It captures and replays all network interaction served to the application from any source. This allows Keploy to generate test cases for all of your API endpoints, including those that are not explicitly tested by your unit tests. This can help you to identify and fix bugs that would otherwise go undetected. Keploy can create data mocks/stubs for your APIs, which can help you to isolate your tests and make them more reliable. It can automatically compare test cases generated from previously collected traffic against updated behaviour of your application, and bring any differences to your attention. This can help you to identify regressions in your production code early on.
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Toxic Backlink Issue: Semrush Flags OSS Project's GitHub Link. Disavow or Whitelist? Need SEO Advice!
I'm new to SEO, I run an OSS project and Semrush shows my project's main repo link as TOXIC backlink!! I'm not sure if I should add this to the whitelist of my domain.
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Gokiburi: Automatic Test Runs for Go Projects
I have once contributed to one similar project https://github.com/keploy/keploy , This can help you generate e2e tests and mocks as well , with real api and infra calls .
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FOSS Projects needed
Please feel free to checkout keploy too - https://github.com/keploy/keploy
- Becoming a Go dev
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I’ve created a tool that generates automated integration tests by recording and analyzing API requests and server activity. Within 1 hour of recording, it gets to 90% code coverage.
This looks very similar to keploy but specific to node apps. Keploy is designed to be multi language.
gomock
- Maintainership of Go’s official gomock repo has been transferred to Uber.
- Uber Now Maintains Gomock
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Google Stopped Maintaining GoMock
The commit mentions this rather sad thread: https://github.com/golang/mock/pull/627#issuecomment-1605169...
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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When to mock and what to mock in a Web API?
Normally I like to generate everything with Mockgen and test it using table driven test.
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Is gomock still maintained and recommended?
Looking at gomock's commit history, it seems like there hasn't been much activity on the project in a couple of years. I'm wondering if this is the case of software being mostly done and just in maintenance mode, or if gomock is falling behind. The reason I fear for the latter is there are still issues being opened up that don't seem to be engaged very much.
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Want to know if this is a valid approach
Yeah, that would work just fine. Nevertheless, as your business logic gets more complicated, you will want to test more scenarios and mocks will get complicated fast. In these cases tools like gomock really shine and make your life easier. I understand that this is a just-for-fun project, but it's never too early to experiment with a popular solution, especially if you plan on using Go professionally in the future.
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Go API Project Set-Up
Unit tests are leveraged to test individual units of code. As such it is not recommended for a developer to scaffold entire dependencies for the sake of testing a single object. Due to the way Go's specific implementations work, I've learned over time to declare interfaces for a lot of the structs that I use in Go. Interfaces not only define a contract for which struct-based implementations should adhere, but they also provide a mechanism for which struct methods can be mocked. While I've experimented with the mock package in testify, I've come to prefer the mock functionality which is provided by mockgen.
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Comprehensive Guide to Testing in Go
gomock can also be great for testing when used sparingly. Mocking out one or two calls is great, anymore than that and it becomes exponentially harder to reason about
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Google's internal Go style guide
Where we do use mocks, we primarily use GoMock.
What are some alternatives?
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
mockery - A mock code autogenerator for Go
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults
core - Backend server API handling user mgmt, database, storage and real-time component
pgx - PostgreSQL driver and toolkit for Go
CodeTriage - Discover the best way to get started contributing to Open Source projects
sqlx - general purpose extensions to golang's database/sql
changie - Automated changelog tool for preparing releases with lots of customization options
counterfeiter - A tool for generating self-contained, type-safe test doubles in go
evergreen - A Distributed Continuous Integration System from MongoDB
go-sqlmock - Sql mock driver for golang to test database interactions