trytouca / trytouca

Continuous Regression Testing for Engineering Teams

Continuous Regression Testing for Engineering Teams

Touca helps engineering teams find the unintended side-effects of their day to day code changes. It remotely compares the behavior and performance of your software against a previous trusted version and visualizes differences in near real-time.

Get Started

You can self-host Touca Server using Docker Compose and through our CLI.

brew install touca
touca server install

Or you can use Touca Cloud that we manage and maintain.

Sneak Peek

Touca has SDKs in Python, C++, Java, and JavaScript.

Let us imagine that we want to test a software workflow that takes the username of a student and provides basic information about them.

def test_find_student():
    alice = find_student("alice")
    assert alice.fullname == "Alice Anderson"
    assert alice.dob == date(2006, 3, 1)
    assert alice.gpa == 3.9

We can use unit testing in which we hard-code expected values for each input. But real-world software is complex:

• We need a large number of test inputs to gain confidence that our software works as expected.
• Describing the expected behavior of our software for each test input is difficult.
• When we make intentional changes to the behavior of our software, updating our expected values is cumbersome.

Touca is effective in testing software workflows that need to handle a large variety of inputs or whose expected behavior is difficult to hard-code.

import touca
from students import find_student

@touca.workflow(testcases=["alice", "bob", "charlie"])
def students_test(username: str):
    student = find_student(username)
    touca.check("fullname", student.fullname)
    touca.check("dob", student.dob)
    touca.check("gpa", student.gpa)

This is slightly different from a typical unit test:

• Touca tests do not use expected values.
• Touca tests do not hard-code input values.

With Touca, we describe how we run our code under test for any given test case. We can capture values of interesting variables and runtime of important functions to describe the behavior and performance of our workflow for that test case.

Now if we make changes to our workflow under test, we can rerun this test and let Touca automatically compare our captured data points against those of a previous baseline version and report any difference in behavior or performance.

Documentation

If you are new to Touca, the best place to start is our documentation website.

Community

We hang on Discord. Come say hi! We love making new friends. If you need help, have any questions, or like to contribute or provide feedback, that's the best place to be.

Contributors

Sponsors

License

This repository is released under the Apache-2.0 License. See LICENSE.