dockertest
zap
dockertest | zap | |
---|---|---|
48 | 51 | |
3,970 | 20,981 | |
1.1% | 1.0% | |
3.0 | 8.1 | |
5 days ago | 5 days ago | |
Go | Go | |
Apache License 2.0 | 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.
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.
zap
- Desvendando o package fmt do Go
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Building RESTful API with Hexagonal Architecture in Go
The project currently uses slog package from standard library for logging. But switching to a more advanced logger like zap could offer more flexibility and features.
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Structured Logging with Slog
It's nice to have this in the standard library, but it doesn't solve any existing pain points around structured log metadata and contexts. We use zap [0] and store a zap logger on the request context which allows different parts of the request pipeline to log with things like tenantid, traceId, and correlationId automatically appended. But getting a logger off the context is annoying, leads to inconsistent logging practices, and creates a logger dependency throughout most of our Go code.
[0] https://github.com/uber-go/zap
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Kubebuilder Tips and Tricks
Kubebuilder, like much of the k8s ecosystem, utilizes zap for logging. Out of the box, the Kubebuilder zap configuration outputs a timestamp for each log, which gets formatted using scientific notation. This makes it difficult for me to read the time of an event just by glancing at it. Personally, I prefer ISO 8601, so let's change it!
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Go 1.21 Released
What else would you expect from a structured logging package?
To me it absolutely makes sense as the default and standard for 99% of applications, and the API isn't much unlike something like Zap[0] (a popular Go structured logger).
The attributes aren't an "arbitrary" concept, they're a completely normal concept for structured loggers. Groups are maybe less standard, but reasonable nevertheless.
I'm not sure if you're aware that this is specifically a structured logging package. There already is a "simple" logging package[1] in the sodlib, and has been for ages, and isn't particularly fast either to my knowledge. If you want really fast you take a library (which would also make sure to optimize allocations heavily).
[0]: https://pkg.go.dev/go.uber.org/zap
[1]: https://pkg.go.dev/log
- Efficient logging in Go?
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Why elixir over Golang
And finally for structured logging: https://github.com/uber-go/zap
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Beginner-friendly API made with Go following hexagonal architecture.
For logging: I recommend using Uber Zap https://github.com/uber-go/zap It will log stack backtraces and makes it super easy to debug errors when deployed. I typically log in the business logic and not below. And log at the entry for failures to start the system. Maybe not necessary for this example, but itβs an essential piece of any API backend.
- slogx - slog package extensions and middlewares
- Why it is so weirdo??
What are some alternatives?
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.
logrus - Structured, pluggable logging for Go.
fake-gcs-server - Google Cloud Storage emulator & testing library.
zerolog - Zero Allocation JSON Logger
mockaroo - Mock-A-π¦ (mock-aa-roo) a comprehensive HTTP/HTTPS interface mocking tool for all your development and testing needs!
slog
venom - π Manage and run your integration tests with efficiency - Venom run executors (script, HTTP Request, web, imap, etc... ) and assertions
glog - Leveled execution logs for Go
steampipe - Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
go-log - a golang log lib supports level and multi handlers
go-sqlmock - Sql mock driver for golang to test database interactions
log - Structured logging package for Go.