git in the repository and make an initial commit in order to use git.
-
Note - For this lesson, you must be able to push to GitHub. If you are using the pre-made repository, you will need to create an empty repository on GitHub, then change the remote URL to your own repository.
@@ -543,7 +542,7 @@From Wikipedia, continuous integration (CI) is the practice of merging all developers’ working copies of code to a shared mainline, several times a day. In other words, CI refers to the coupling of version control and unit testing in an automated way. @@ -555,7 +554,8 @@
Using any of these services is essentially getting access to empty remote computers that we can configure as we wish. To test our projects using GitHub Actions, we will have to set up the correct environment and tell our CI service what to do.
-All of GitHub Actions’ settings are stored in the file .github/workflows/CI.yaml.
Note the leading period on the .github folder, which makes this a hidden folder in Linux and Mac OS.
The .github file stores information that is relevant to GitHub in general.
@@ -782,7 +782,9 @@
Unfortunately, our CI runs failed, which can be seen from the red cross that appears after the last commit message on your main GitHub repository page. To know more about why this was the case, we have to read the GitHub Actions log files. Click on the red cross then click the Details link from one of the failing entries that marked with a red cross. @@ -882,14 +884,17 @@
In the previous episode, we introduced the concept of code coverage as a measure of how much of our code is run by our unit tests. Projects should aim for a high coverage percentage, but not obsess over the number. Remember that even if your project has 100% coverage, it does not mean it is actually bug-free.
When we run pytest, we can get a summary of our coverage with the --cov=molecool option.
While this summary is helpful, it would be much more useful to know which lines are covered by our tests.
In the following section, we will explore two methods that allow us to do just that.
Besides coverage summaries, the pytest-cov module can also produce details reports.
Run the following command at the root of your project to generate a report in HTML format:
calculate_angle function, the return value in radians is never checked by our tests.
Let’s go ahead and fix that by writing a new test.
-Exercise
Write a new test in tests/test_measure.py to check that calculate_angle returns the
@@ -934,7 +941,9 @@
If you refresh the coverage page on your browser (or re-open it if you closed it before), you will see that measure.py now has 100% coverage.
Besides running tests for you, GitHub can interface with other services to help you get reports on code coverage. In this last section, we will introduce Codecov, one of many services that was created to help developers assess which areas of their projects lack sufficient test coverage. Codecov is free for open-source projects and integrates very nicely with GitHub.
@@ -952,7 +961,10 @@Red areas represent code that is poorly covered by our tests. On the right, you see the latest commits and can click on each one of them to see how they changed the overall coverage of the project. The bottom of the page shows a simple file-browser-like interface, much like the HTML page we obtained before.
-A great feature of GitHub Actions is that they are modular. Anyone can make an action and it can be plugged into someone else’s workflow if it is available on the GitHub Marketplace. This means that if you ever need to do something which is something that may be commonly done, you should check the GitHub Marketplace to see if anyone has made this action before.
@@ -963,7 +975,9 @@Exercise - Adding an Action to our Workflow
Implement this ASCII Art Action as another job in your workflow.
Make it print your package name. Note that this Action will only run on Linux systems.
+This means you will want to change the runs-on keyword to an appropriate operating system.
This is not in the documentation, but you will see a failure of your job if you try to run on another operating system.
See if you can use some of GitHub’s built-in variables to print the package name or the username of the person who opened the pull request.
- +
- Created using Sphinx 7.2.6.
+ Created using Sphinx 7.3.6.
- Created using Sphinx 7.2.6.
+ Created using Sphinx 7.3.6.
git - Standalone Lesson", "Using GitHub", "Set-Up", "Testing, Continuous Integration, and Distribution", "Python Package Set-Up", "Introduction to Version Control using Git", "GitHub", "Python Coding Style", "Deciding Package Structure", "Type Hinting in Python", "Code Collaboration", "Python Testing", "Continuous Integration using GitHub Actions", "Distributing Packages", "Package Documentation", "Overview", "Computer Set Up"], "terms": {"ar": [0, 1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], "topic": [0, 3, 8, 18], "often": [0, 1, 7, 8, 10, 11, 14, 15, 17], "overlook": [0, 17], "softwar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19], "project": [0, 2, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 19], "howev": [0, 1, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19], "import": [0, 3, 4, 6, 7, 8, 9, 10, 12, 14, 15, 17, 18, 19], "aspect": 0, "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], "make": [0, 1, 3, 4, 9, 10, 11, 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