gotests
dockertest
gotests | dockertest | |
---|---|---|
10 | 48 | |
4,861 | 3,970 | |
- | 1.1% | |
0.0 | 3.0 | |
8 months ago | 4 days 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.
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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.
gotests
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Russ Cox: Go Testing by Example
A huge time-saver for me when generating table-driven test boilerplate in Go has been using gotests[0] to generate the template.
If you use VSCode with the Go extension it's already available there as a command "Go: Generate Unit Tests for Function/Package".
[0] https://github.com/cweill/gotests
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Table-driven tests are overrated.
I believe vscode does it using gotests (https://github.com/cweill/gotests), so people can probably use it outside of vscode too.
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[gopher.nvim] Plugin for golang development
What can do this plugin? - Modify struct tags. - Run go get, go mod & go generate commands inside of nvim. - Implement interface by impl. - Generate tests by gotests. - Install required tools for plugin working(by go install).
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What is the hardest part of the load/performance testing?
I was just thinking about some smart solutions. For example generating test plan and fake data by inspecting current changes on the code and db schema. Just like this https://github.com/cweill/gotests but for performance test plans.
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Take on a better unit test style
Did you encounter gotests when you were doing your research? It's a table test generation tool that generates test code using t.Run(). I do wish it could generate tests using testify, because I frequently end up rewriting the code in the inner loop, but I still use it because it's better than I am about ensuring there's a test for all functions I write.
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Patterns for unit testing in Go?
I use https://github.com/cweill/gotests to generate the test scaffolding.
- Share your must-know Go development tips
- gotests
- ¿Como estructurar tu aplicación en Go?
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Learn Go in ~5mins
You can save yourself a minute and generate the test case boilerplate for your with https://github.com/cweill/gotests :)
dockertest
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Testcontainers
I am using https://github.com/ory/dockertest for tests, specifically for databases. Is there any advantage to use Testcontainers?
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Level UP your RDBMS Productivity in GO
Now, let's run the tests. For this purpose, we are going to use dockertest, but test containers is also a good solution.
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Golang testing using docker services via dockertest
During my path learning go so far I have come across some amazing libraries and utilites, one of my favourite for integration testing is dockertest.
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How to start a Go project in 2023
Things I can't live without in a new Go project in no particular order:
- https://github.com/golangci/golangci-lint - meta-linter
- https://goreleaser.com - automate release workflows
- https://magefile.org - build tool that can version your tools
- https://github.com/ory/dockertest/v3 - run containers for e2e testing
- https://github.com/ecordell/optgen - generate functional options
- https://golang.org/x/tools/cmd/stringer - generate String()
- https://mvdan.cc/gofumpt - stricter gofmt
- https://github.com/stretchr/testify - test assertion library
- https://github.com/rs/zerolog - logging
- https://github.com/spf13/cobra - CLI framework
FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb
We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers
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Beginner-friendly API made with Go following hexagonal architecture.
I've used dockertest a bunch and it is really amazing.
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How to unit test your database interactions with Docker
Reminds me of https://github.com/ory/dockertest
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When to mock and what to mock in a Web API?
If your project is relatively simple and you can get away with recreating your scenarios against a real mock database and run other related services locally. It would be good to setup docker containers for your test scripts and write e2e tests. I believe e2e tests are harder but more useful in understanding/reasoning how users are impacted.
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Don't Mock the Database
Just a heads up, the repository in your comment is invalid, the correct link is https://github.com/ory/dockertest
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Mocking database calls without a library?
Don't mock. Use https://github.com/ory/dockertest to actually run tests against a dockerized DB.
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Different SQL drivers for test and production
Use a library like ory/dockertest to spin up a test database for integration tests. It's easy to use, and tests are still fast. It'll take a minute to download the mysql docker image the first time. But, once it's been downloaded, starting the db, running migrations, and running the tests is still pretty quick.
What are some alternatives?
ginkgo - A Modern Testing Framework for Go
testcontainers-go - Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.
gomock - GoMock is a mocking framework for the Go programming language.
fake-gcs-server - Google Cloud Storage emulator & testing library.
selenoid - Selenium Hub successor running browsers within containers. Scalable, immutable, self hosted Selenium-Grid on any platform with single binary.
mockaroo - Mock-A-🦘 (mock-aa-roo) a comprehensive HTTP/HTTPS interface mocking tool for all your development and testing needs!
go-sqlmock - Sql mock driver for golang to test database interactions
venom - 🐍 Manage and run your integration tests with efficiency - Venom run executors (script, HTTP Request, web, imap, etc... ) and assertions
go-fuzz - Randomized testing for Go
steampipe - Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
Mmock - Mmock is an HTTP mocking application for testing and fast prototyping