testcontainers-dotnet
ephemeral-mongo
| testcontainers-dotnet | ephemeral-mongo | |
|---|---|---|
| 16 | 2 | |
| 3,564 | 94 | |
| 2.3% | - | |
| 8.9 | 3.9 | |
| 2 days ago | 3 months ago | |
| C# | C# | |
| MIT License | Apache License 2.0 |
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testcontainers-dotnet
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Integration tests with AWS S3 buckets using Localstack and Testcontainers
Testcontainers
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Integration Tests with In Memory DB vs Real DB on Docker
Like others said, it's better to test with an actual database. I recommend using Testcontainers (https://dotnet.testcontainers.org), you can even create multiple instances so your tests can run in parallel independently.
- Unit Testing
- Running untrusted (user-provided) Python code on ASP.NET/C# backend
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Integration tests for AWS serverless solution
To launch a container in code we will use Testcontainers. Testcontainers is a library that is built on top of the .NET Docker remote API and provides a lightweight implementation to support your test environment in all circumstances. This library supports pre-defined packages for containers or you can use your .dockerfile. We will use a pre-defined package for LocalStak. LocalStack is a cloud service emulator that runs in a single container for AWS service. LocalStack supports a growing number of AWS services.
- If i want to do testing CRUD should I use in memory or just do integration test where I use a seperate database?
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Do you guys mock everything in your Unit Tests?
Bogus - For creating fake data Verify - Snapshot testing for .NET MELT - For testing ILogger usage Stryker - Mutation Testing for .NET TestContainers - run docker programmatically in integration tests
- Testes de integração com containers
- What C# tools would you like to use that don't exist today?
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Ask HN: How do you test SQL?
.NET Shop using SQL Server here, but I think something similar to what we do can apply to any stack. We use TestContainers [1] to spin up a container with SQL Server engine running on it. Then use FluentMigrator [2] to provision tables and test data to run XUnit integration tests against. This has worked remarkably well.
[1] https://dotnet.testcontainers.org/
ephemeral-mongo
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I created EphemeralMongo, it allows you to spin up disposable instances of MongoDB 4, 5 or 6 for testing and local development. It is the recommanded alternative to Mongo2Go which is no longer actively maintained.
👋 Do you need MongoDB 5 or even 6 for your testing or development needs? Check out EphemeralMongo, a project based on Mongo2Go. In addition to supporting multiple MongoDB major versions and the same features, it has a faster startup, and better CI support.
What are some alternatives?
NUnit - NUnit Framework
Mongo2Go - Mongo2Go - MongoDB for .NET integration tests
SpecFlow - #1 .NET BDD Framework. SpecFlow automates your testing & works with your existing code. Find Bugs before they happen. Behavior Driven Development helps developers, testers, and business representatives to get a better understanding of their collaboration
booking-microservices - Practical microservices, built with .Net 8, DDD, CQRS, Event Sourcing, Vertical Slice Architecture, Event-Driven Architecture, and the latest technologies.
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.
Liquid-Application-Framework - Liquid Application Framework documentation, useful links and sample project
testcontainers-python - Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.
Realm Xamarin - Realm is a mobile database: a replacement for SQLite & ORMs
Docker.DotNet - :whale: .NET (C#) Client Library for Docker API
DotNetCore - .NET 8 Nuget Packages.
charts - Hazelcast Official Helm Chart Repository
grandnode2 - Open-Source eCommerce Platform on .NET Core, MongoDB, AWS DocumentDB, Azure CosmosDB, LiteDB & Vue.js