venom
tricorder
venom | tricorder | |
---|---|---|
6 | 5 | |
979 | 50 | |
2.1% | - | |
7.3 | 5.6 | |
12 days ago | 8 months ago | |
Go | Rust | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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venom
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Ask HN: What's your favorite software testing framework and why?
You can also load fixtures in database directly, work with Kafka queues both as a producer (e.g. write an event to a Kafka queue, wait a few seconds and see that it was consumed by the service you test, and that some side effects can be observed) or as a consumer (e.g. make sure after an HTTP call, an event was correctly pushed to a queue), or even read a mailbox in IMAP to check that your service correctly send an email.
It's a bit rough on the edges sometimes, but I'd never go back on writing integration tests directly in my programming language. Declarative is the way to go.
[1]: https://github.com/ovh/venom
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Easy Integration Testing with Venom!
To write and run our integration tests, we'll use Venom. Venom is a tool created and made open-source by OVHcloud: https://github.com/ovh/venom
- Venom: Manage and run your integration tests with efficiency
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Show HN: Step CI – API Testing and Monitoring Made Simple
From my experience, generated tests are worthless for anything more serious than smoke tests. I prefer working with no tests than automated tests, I feel they give you a false sense of confidence.
The Step CI engine itself looks good though. It looks like a cleaner, but less powerful version of a tool (open source, build in-house) we used when I worked at OVHcloud, Venom: https://github.com/ovh/venom
Here's an example test file for the HTTP executor of Venom: https://github.com/ovh/venom/blob/master/tests/http.yml it's very close to Step CI format.
I'd still use Venom because it's way more powerful (you have DB executors for example, so after executing a POST request you can actually check in DB that you have what you expect) and I prefer focusing on actually writing integration tests instead of generating them.
Maybe this post sounds harsh (I feel it as I write it because I have strong feelings against test generation) but I think your approach is a good one for actually writing automated tests. Testing APIs declaratively like this has a great benefit: your tests work on an interface. You can migrate your API to a whole new stack and your tests remain the same. I did it multiple time at OVHcloud: one time migrating a huge API from a Go router to another (Gin->Echo), and another time migrating public APIs from a legacy, in-house Perl engine to a Go server.
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Debugging with GDB
I still struggle with GDB but my excuse is that I seldom use it.
When I was studying reverse engineering though, I came across a really cool kit (which I've yet to find an alternative for lldb, which would be nice given: rust)
I'd recommend checking it out, if for no other reason than it makes a lot of things really obvious (like watching what value lives in which register).
https://github.com/hugsy/gef
LLDB's closest alternative to this is called Venom, but it's not the same at all. https://github.com/ovh/venom
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Do you write integration tests in go?
We incorporated [Venom](https://github.com/ovh/venom) into our workflow. It's great for initiating and managing a suite of yaml based tests. It didn't work out of the box for us due to the heavily asynchronous nature of our system, but after a few additions, it has helped my team greatly. We were often afraid to make large changes to critical pieces of the system since a full regression test could take a week or so to check everything. Now it takes an hour.
tricorder
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Show HN: A new open-source automation tool as an alternative to Ansible/Salt
There is https://pyinfra.com/
As a sidenote, I also made a small experiment a while ago : https://github.com/linkdd/tricorder/
But it's a bit of a chicken-and-egg problem. Without users, I don't know how it should be used, without features I won't get any users. So for now, it's in a state of "I'll address bug reports and feature requests, but I won't actively develop it".
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Ask HN: What's your favorite software testing framework and why?
Thank you. Your library seems nice.
Unfortunately, I have to say it... I hate YAML with a passion, k8s, github actions/gitlab ci, ansible, etc... When I'm doing ops jobs, I feel like I'm coding in YAML.
Btw, this hate for YAML birthed https://linkdd.github.io/tricorder/ :P
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Created a simple tool for task automation in Rust
Another one in the same vein is tricorder, which has one of the coolest websites ever. AFAIK it doesn't do dependencies, though. But it's got a RUST API!
- Show HN: Automation the KISS way. No YAML involved
What are some alternatives?
godog - Cucumber for golang
z-run - z-run -- scripting library lightweight Go-based tool
dockertest - Write better integration tests! Dockertest helps you boot up ephermal docker images for your Go tests with minimal work.
testy - test helpers for more meaningful, readable, and fluent tests
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.
LazySmallCheck2012 - Lazy SmallCheck with functional values and existentials!
stepci - Automated API Testing and Quality Assurance
ospec - Noiseless testing framework
gotestfmt - go test output for humans
php-easycheck - Mirror of http://chriswarbo.net/git/php-easycheck
gotestfmt - go test output for humans
automate - Native bash script for automate tasks in a multiple servers