testcontainers-python
testcontainers-dotnet
Our great sponsors
testcontainers-python | testcontainers-dotnet | |
---|---|---|
8 | 16 | |
1,304 | 3,534 | |
13.9% | 3.2% | |
9.0 | 9.0 | |
2 days ago | 3 days ago | |
Python | C# | |
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.
testcontainers-python
-
Mock unit test an API that uses postgres or integration test API with a "test" database?
For later stuff, I tend to go all the way, have a separate database that gets seeded, all tests are performed against it, then it gets shut down. Testcontainers work well with this.
- Is this really what I have to do to test?
-
Ask HN: I have 10 yrs of Exp. Failed 4 takehome projects. What am I doing wrong?
> ...
I think this is where we're talking past each other, so let me explain more of how I see the problem -- the solution I have in mind is serializing the URL and using ONE call to INCR (https://redis.io/commands/incr/) on the ingest side.
There is a lot you can do with the data storage pattern to make other operations more efficient, but on the stats side, the most basic way you can do it is to scan
I will concede that given that we know the data should fit in memory (otherwise you just crash) your approach gives you O(N) retrieval time and it's definitely superior to not have to do that on the python side (and python just streaming the response through). I am comfortable optimizing in-API computation, so I don't think it's a problem.
Here's what I mean -- you can actually solve the ordering problem in O(N) + O(M) time by keeping track of the max you've seen and building a sparse array and running through every single index from max to zero. It's overkill, but it's generally referred to as a counting sort:
https://ebrary.net/81651/geography/sorting_algorithms
This is overkill, clearly, and I will concede that ZSET is lighter and easier to get right than this.
> You linked? Where? I'd like to know about any library that will do this. Tell me of any library that does integration tests that spins up infrastructure for you. The only one closest I can think of that you can run locally is anything that would use docker-compose or some other IAC language that controls containers. I honestly don't think any popular ones exist.
https://testcontainers-python.readthedocs.io/en/latest/
I am very sure that I linked that, but in the case I didn't, here it is again -- hope you find it useful.
> No way I'm going to assume the user has redis installed on his local machine. Many devs don't. It's all remote development for them or everything lives in containers.
-
What we learned after I deleted the main production database by mistake
Have a script for spinning up an identical database model in a docker container with your DB of choice. Even nicer than the manual route is depending on your language there's normally some sort of "testcontainers" type library (e.g in Java world https://www.testcontainers.org/ or in PYthon world https://github.com/testcontainers/testcontainers-python) that allows you to run a test that automatically spins up a container then you can use the network connection and run tests against it. E.g If I was testing a postgres integration my test would look like
-
Python/testcontainers
I have been using TestContainers for my Java projects for a while now with great success and my plan is to use it for some Python projects. I notice that the https://github.com/testcontainers/testcontainers-python project doesn't seem to be under active development. Are there any alternatives out there the community is using/developing?
-
orchestrating contaiers for testing?
- https://github.com/praekeltfoundation/seaworthy but you have to recreate a manifest with code. Not ideal for mildly complex stuff. 3+years was last commit :(( - https://github.com/testcontainers/testcontainers-python which is weirdly specific to certain container images. Again, not working off a manifest (I think), 1 months since last commit. :( - https://github.com/vapor-ware/kubetest which uses kubernetes(k8s) manifests and integrates with pyTest. Last commit 10 month ago.
-
The absolute worst but common anti-pattern that no one talks about
Buddy, let me juice it up even more: https://github.com/testcontainers/testcontainers-python
-
Hazelcast, from Embedded to Client-Server
Those are great options if you're developing in Java, but all is not lost if you aren't. Containerization can help us a lot! For example, the TestContainers project is available in all stack that Hazelcast support: Python developers can easily leverage the Python project to set up a local Hazelcast cluster quickly, Go developers the Go project, C# developers the .Net project, etc.
testcontainers-dotnet
-
Integration tests with AWS S3 buckets using Localstack and Testcontainers
Testcontainers
-
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
-
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?
-
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?
-
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/
What are some alternatives?
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
NUnit - NUnit Framework
kubetest - Kubernetes integration testing in Python via pytest
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
seaworthy - Test harness for Docker container images 🌊 🚢
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.
Docker.DotNet - :whale: .NET (C#) Client Library for Docker API
charts - Hazelcast Official Helm Chart Repository
ephemeral-mongo - EphemeralMongo is a set of three NuGet packages wrapping the binaries of MongoDB 4, 5 and 6 built for .NET Standard 2.0.
helium - Selenium-python but lighter: Helium is the best Python library for web automation. [Moved to: https://github.com/mherrmann/selenium-python-helium]
Mongo2Go - Mongo2Go - MongoDB for .NET integration tests