go-txdb
keploy
Our great sponsors
go-txdb | keploy | |
---|---|---|
2 | 69 | |
619 | 3,316 | |
2.1% | 4.0% | |
6.7 | 9.6 | |
about 1 month ago | 3 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | 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.
go-txdb
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Integration Tests with Postgres
3 years ago I created a internal library where I worked to setup the testing with the db's. One param was the schema directory and the other one was the path of the data insertion file. It worked really well but was a little slow. It was a little bit weird to configure the container to run the tests. As I would have to give access to go container that ran the unit tests access to docker. But back then I was running boot2docker and made things very cumbersome. I think with a local docker things would be way simpler. I ended up using and normal DB from the CI/CD and https://github.com/DATA-DOG/go-txdb If I had to do it again I might do an hybrid in-between the two solutions
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Unit Testing a Grom Application With a Real DB Server
The first one is TestMain, which could improve the lifecycle management of the container. The second one is DATA-DOG/go-txdb, this allows you to open a new db connection running in a transaction, so each test could have its own isolated DB connection.
keploy
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Getting Started with Keploy
October is the month of Open Source and Keploy is taking part in this celebration. You can contribute to several Keploy projects by participating in this year’s Hacktoberfest. You can both contribute to the code part and the no-code part as well. Here are some contributions that you can make!
curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy
- Show HN: Keploy – eBPF-Driven API Mock and Test Generation from Prod Traffic
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6 AI Tools every developer must try
Keploy is an open-source, end-to-end (E2E) testing toolkit for developers. It creates test cases and data mocks/stubs by recording API calls, database queries, etc., making releases faster and more reliable. Keploy works by being added as a middleware to your application. It captures and replays all network interaction served to the application from any source. This allows Keploy to generate test cases for all of your API endpoints, including those that are not explicitly tested by your unit tests. This can help you to identify and fix bugs that would otherwise go undetected. Keploy can create data mocks/stubs for your APIs, which can help you to isolate your tests and make them more reliable. It can automatically compare test cases generated from previously collected traffic against updated behaviour of your application, and bring any differences to your attention. This can help you to identify regressions in your production code early on.
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Toxic Backlink Issue: Semrush Flags OSS Project's GitHub Link. Disavow or Whitelist? Need SEO Advice!
I'm new to SEO, I run an OSS project and Semrush shows my project's main repo link as TOXIC backlink!! I'm not sure if I should add this to the whitelist of my domain.
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Gokiburi: Automatic Test Runs for Go Projects
I have once contributed to one similar project https://github.com/keploy/keploy , This can help you generate e2e tests and mocks as well , with real api and infra calls .
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FOSS Projects needed
Please feel free to checkout keploy too - https://github.com/keploy/keploy
- Becoming a Go dev
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I’ve created a tool that generates automated integration tests by recording and analyzing API requests and server activity. Within 1 hour of recording, it gets to 90% code coverage.
This looks very similar to keploy but specific to node apps. Keploy is designed to be multi language.
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Test generating tools - future of test automation?
I recently discovered Keploy (https://github.com/keploy/keploy) and was really impressed by its promise that it can generate API tests with code coverage by itself just by recording API calls and mocking everything that goes outside of the application - including calls to external API endpoints and the database. It seems like a super useful tool and potentially a game changer, especially now that GPT is starting another wave of automation.
What are some alternatives?
go-sqlmock - Sql mock driver for golang to test database interactions
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
gock - HTTP traffic mocking and testing made easy in Go ༼ʘ̚ل͜ʘ̚༽
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults
mockhttp - Mock object for Go http.ResponseWriter
core - Backend server API handling user mgmt, database, storage and real-time component
Fake - Fake data generator for Go (Golang)
CodeTriage - Discover the best way to get started contributing to Open Source projects
gomock - GoMock is a mocking framework for the Go programming language.
changie - Automated changelog tool for preparing releases with lots of customization options
monkey - Monkey patching in Go
evergreen - A Distributed Continuous Integration System from MongoDB