ginkgo
logrus
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ginkgo | logrus | |
---|---|---|
13 | 32 | |
7,911 | 24,055 | |
- | - | |
8.8 | 3.0 | |
8 days ago | about 1 month ago | |
Go | Go | |
MIT License | MIT License |
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.
ginkgo
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Writing tests for a Kubernetes Operator
Ginkgo: a testing framework based on the concept of "Behavior Driven Development" (BDD)
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We moved our Cloud operations to a Kubernetes Operator
We were also able to leverage Ginkgo's parallel testing runtime to run our integration tests on multiple concurrent processes. This provided multiple benefits: we could run our entire integration test suite in under 10 minutes and also reuse the same suite to load test the operator in a production-like environment. Using these tests, we were able to identify hot spots in the code that needed further optimization and experimented with ways to save API calls to ease the load on our own Kubernetes API server while also staying under various AWS rate limits. It was only after running these tests over and over again that I felt confident enough to deploy the operator to our dev and prod clusters.
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Recommendations for Learning Test-Driven Development (TDD) in Go?
A bit off-topic, but i really like the ginkgo BDD framework
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Start test names with “should” (2020)
You obviously are not familiar with the third circle of golang continuous integration hell that is ginkgo+gomega:
https://onsi.github.io/ginkgo/#adding-specs-to-a-suite
It’s actually worse than that example suggests. Stuff like Expect(“type safety”).ShouldBe(GreaterThan(13)) throws runtime errors.
The semantics of parallel test runs weren’t defined anywhere the last time I checked.
Anyway, you’ll be thinking back fondly to the days of TestShouldReplaceChildrenWhenUpdatingInstance because now you need to write nested function calls like:
Context(“instances”, func …)
Describe(“that are being updated”, …)
Expect(“should replace children”, …)
And to invoke that from the command line, you need to write a regex against whatever undocumented and unprinted string it internally concatenates together to uniquely describe the test.
Also, they dump color codes to stdout without checking that they are writing to a terminal, so there will be line noise all over whatever automated test logs you produce, or if you pipe stdout to a file.
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ginkgo integration with jira/elasticsearch/webex/slack
If you are using Ginkgo for your e2e, this library might of help.
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Testing frameworks, which to use?
https://onsi.github.io/ginkgo/ offers a simple way to create tables with different scenarios useful to generate different test cases based on a file like a yml without to need to develop useless code. Maybe at start seems to be a little verbose but depends how you design the test case.
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Testza - A modern test framework with pretty output
What are people’s thoughts on testing frameworks? I’ve heard that most devs only use the testing package in the standard library and the testify package for assertions— I assume this is because Go is meant to be lightweight and scalable, and adding external dependencies basically goes against that. But I’ve also seen devs use packages like ginkgo to make tests more structured and readable. What do you guys think?
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What are your favorite packages to use?
Ginkgo Behavioural test framework
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Air – Live reload when developing with Go
If you write your tests with Ginkgo [0] its CLI can do this for you. It also has nice facilities to quickly disable a test or portion of a test by pretending an X to the test function name, or to focus a test (only run that test) by prepending an F. It’s pretty nice.
[0]: https://onsi.github.io/ginkgo/
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Half a million lines of Go at The Khan Academy
The BDD testing framework Ginko [1] has some "weird" / unidiomatic patterns, yet it is very popular
https://github.com/onsi/ginkgo
logrus
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Authentication system using Golang and Sveltekit - Initialization and setup
It's some sort of logging system well explained by Alex Edwards in Let’s Go Further. As stated, we could have used logrus or any other popular logging system in Go.
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Renaming public Go modules
Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.
- What is the common log library which is industry standard that is used in server applications?
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Observing AWS Lambda with Golang and Datadog
For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON
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Best Logging Library for Golang
For choosing the candidates for the poll, I didn't do any thorough research. I was looking for a library to use in my project at work, and I ended up at sirupsen/logrus which was already being used by one of the dependencies in that project.
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Follow up to previous post: I contributed to an open source project outside working hours despite being asked not to. I was fired. No legal action.
I contribute to OSS as part of my job on the regular. The company is good about contributing upstream, signing CLAs, and all that. We still work against private forks for two main reasons: 1. Some changes that we need are not accepted by maintainers based on philosophical or architectural reasons that we can’t otherwise work around. You’re beholden to then unless you publicly fork the repo which has other legal/PR overhead for the company and OSS political implications. 2. Maintainers in the past have taken down repos, renamed repos, or changed the licensing on repos that have left us in a lurch. We always build against our own private forks because we need predictability and can’t be beholden to some other party for business continuity. We sync them down from the public upstream at our leisure.
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Sourcehut will blacklist the Go module mirror
If they change the case on their username on the other hand, the Go ecosystem explodes: https://github.com/sirupsen/logrus/issues/570#issuecomment-3...
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Lies we tell ourselves to keep using Golang
Like, for example, some projects importing logrus with a capital L and some with a lowercase L, and go modules having no way to reconcile the two: https://github.com/sirupsen/logrus/issues/553
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go-coffeeshop - A practical coffee shop application event-driven microservices built with Golang
Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.
- Criando uma API Rest com Fiber - Uma história pessoal de aprendizado
What are some alternatives?
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
zap - Blazing fast, structured, leveled logging in Go.
GoConvey - Go testing in the browser. Integrates with `go test`. Write behavioral tests in Go.
zerolog - Zero Allocation JSON Logger
godog - Cucumber for golang
glog - Leveled execution logs for Go
goblin - Minimal and Beautiful Go testing framework
lumberjack - lumberjack is a log rolling package for Go
httpexpect - End-to-end HTTP and REST API testing for Go.
slog
gocheck - Rich testing for the Go language
log15 - Structured, composable logging for Go