nammayatri
dockertest
nammayatri | dockertest | |
---|---|---|
5 | 48 | |
1,037 | 3,967 | |
1.9% | 1.0% | |
10.0 | 3.0 | |
1 day ago | 29 days ago | |
PureScript | Go | |
GNU Affero General Public License v3.0 | 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.
nammayatri
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Testcontainers
If your project uses Nix, checkout services-flake for running services via Nix.
https://github.com/juspay/services-flake
We actually do this in Nammayatri, an OSS project providing "Uber" for autos in India.
https://github.com/nammayatri/nammayatri
There is a services-flake module allowing you to spin the entire nammayatri stack (including postgres, redis, etc.) using a flake app. Similarly, there's one for running load test, which is also run in Jenkins CI.
- Namma Yatri – open-source Uber/Lyft Alternative (In active use in India)
- Open-Source, Zero Commission, Uber-Lyft Alternative for India
- I raise you this Namma Yatri notification. What do you have in return?
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Anyone used Namma Yatri app? How’s your experience?
NY is in the early stages of growth, and there are definitely areas for improvement. Key priorities are improving affordability, customer experience & support and driver availability. But what has differentiated NY so far is its 100% openness in every decision. It's built on Beckn protocol (like open Email/SMTP or TCP/IP protocols, anyone can implement it). NY is part of ONDC network, so anyone can do what NY has done so far. Initial response is encouraging, with 5L+ customers, ~50k drivers, ~4.8 app rating (Open data here). Open Roadmap here. Complete source code here. Anyone can contribute to the open problems through city hackathon. DM your thoughts and happy to hope into a call.
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?
protocol-specifications - Core protocol specification for peer-to-peer consumer-provider interaction
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.
gradle-docker-compose-plugin - Simplifies usage of Docker Compose for integration testing in Gradle environment.
fake-gcs-server - Google Cloud Storage emulator & testing library.
latte - Latte is a modern data engineering toolkit.
mockaroo - Mock-A-🦘 (mock-aa-roo) a comprehensive HTTP/HTTPS interface mocking tool for all your development and testing needs!
venom - 🐍 Manage and run your integration tests with efficiency - Venom run executors (script, HTTP Request, web, imap, etc... ) and assertions
steampipe - Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
go-sqlmock - Sql mock driver for golang to test database interactions
sqlc - Generate type-safe code from SQL
go-mockgen-tool - Go/Golang mock generation for interfaces via code generation
gnomock - Test your code without writing mocks with ephemeral Docker containers 📦 Setup popular services with just a couple lines of code ⏱️ No bash, no yaml, only code 💻