Difference between revisions of "DPS909/OSD600 Fall 2017 Lab 8"
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|https://travis-ci.org/azusaaz/WhatsTheFile | |https://travis-ci.org/azusaaz/WhatsTheFile | ||
Revision as of 23:22, 26 December 2017
Contents
- 1 Introduction: Using Continuous Integration (CI) in Open Source Projects
- 2 Step 1: Connect GitHub and TravisCI
- 3 Step 2: Create a .travis.yml file in your repo
- 4 Step 3: Automate Your Build
- 5 Step 4: Make Your Code Testable
- 6 Step 5: Write Tests
- 7 Step 6: Running Your Tests, Locally and on TravisCI
- 8 Step 7: Triggering Builds on TravisCI
- 9 Submission
Introduction: Using Continuous Integration (CI) in Open Source Projects
In this lab, we will build on the work you began in Lab 6/7. Our goal will be to setup a complete CI solution for our project using GitHub and TravisCI. We will also spend some time working with build systems, linters, and testing frameworks.
Step 1: Connect GitHub and TravisCI
We'll follow the steps in https://docs.travis-ci.com/user/getting-started/#To-get-started-with-Travis-CI
First, we will use your GitHub repo from Lab 6/7. Using your GitHub Login, sign-in to TravisCI.
Next, go to your TravisCI Profile page, sync your repositories (if not already visible), and find your GitHub Repo from Lab 6/7. Enable integration between TravisCI and GitHub by flipping the toggle switch to "on".
Step 2: Create a .travis.yml file in your repo
You need to tell TravisCI how to configure, build, and test your project. You do this via a special file that lives in the root of your project repo, named .travis.yml (the name is important, note the initial period). The format of the file is documented here. Here are some language specific docs:
- JavaScript with node.js
- Python
- Go
- C++
- Rust
- C#
- etc. See docs for other languages.
After you create your .travis.yml file, add, commit, and push it to your GitHub repository. You should be able to see the .travis.yml file on GitHub.
Step 3: Automate Your Build
Now you need to create automated "scripts" for your project, which TravisCI can run on every checkin. The method for accomplishing this will differ depending on your chosen programming language and environment. For example:
- JavaScript and node.js, you will use npm scripts in your package.json file.
- Python, you will use a custom script, for example pyscript.
- Go, you will use a Makefile or Go build file.
- C++, you will use a Makefile.
- Rust, you will use a Cargo.toml file.
- C#, you will use xbuild and a solution file.
You can start small and add more automation as you go. Initially, you should focus on compiling your code and/or running a Linter like eslint, Go's lint, Rust's clippy, etc. Linters allow us to find style issues, detect errors, and generally to standardize our code when many people are working on it in parallel.
You should be able to run your build locally (i.e., without TravisCI). If you can't run it, TravisCI won't be able to run it. Here are some things to consider:
- Do you specify all your dependencies? Have you used external modules or packages that need to be specified in some configuration file? TravisCI will need to know what they are so it can install them
- Do you have the proper script(s) added to the right file(s) to get your code to build, your linters to run? If not, figure out what your language/environment expects and do that. Remember to look at other people's projects on GitHub to see how they do things: everything TravisCI needs will be included in the repo (i.e., it will be "code" you can also read).
- Can you get your build/linting to pass/fail locally? What if you make an error on purpose? And after you fix it, do you see your build scripts change their result?
One you have everything configured locally, add, commit, and push your changes to GitHub. Visit your TravisCI page to confirm that your build is working.
Step 4: Make Your Code Testable
Go back to the code you wrote in the last lab, see if it needs to be made more testable. Testable code means:
- Code you can include in other code. You should write modules, packages, libraries vs. an executable or web server. You want a set of functions you can call from your test code.
- Code that takes input and returns output. You don't want your code to print things, display messages, or otherwise interact with the user. The "user" of your library will be another developer using code, not an application.
For example, this is wrong:
function add(a, b) {
var result = a + b;
console.log("The sum is " + result);
}
Instead you would do:
function add(a, b) {
return a + b;
}
This second version of the code is easy to test, since you can pass values for a and b and expect to get back known results.
Fix your code so that you can easily test it.
Step 5: Write Tests
Now that your code is testable, it's time to write some tests. First, pick a testing framework/tool:
- JavaScript/node.js: https://mochajs.org/ or https://facebook.github.io/jest/
- Python: Unittest or pytest or the like
- Go: built-in testing framework
- Rust: built-in testing framework
- etc.
Here are some sample tests you might write, see if you can come up with more:
- filename without path. Given a "/home/kim/mydata.txt" expect to get back "mydata.txt"
- file size in bytes. Given a path like "/home/kim/mydata.txt" of size 129 bytes, expect to get back 129. You'll need to create a file in your project (e.g., in a tests/ dir) that you can use.
- sha1 digest for a file. Given a file which contains the text "The quick brown fox jumps over the lazy dog" expect to get back 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12
- MD5 digest for a file. Given a file which contains the text "The quick brown fox jumps over the lazy dog" expect to get back 9e107d9d372bb6826bd81d3542a419d6
You should keep each test small, focused on only one scenario (e.g., a given input). Write many small tests to test your functions vs. one giant program that tries to do everything. Other things to consider:
- What should happen if the input data is wrong, missing, or refers to incorrect file info? You should write tests that prove your code fails in known ways (e.g., throws an exception, returns an error code, etc)
- Any data you need in your tests (e.g., special files you want to test against) should be placed in your repo just like any other code.
- You don't need to write tests for things that your code doesn't do. For example, if you use an external library, or built-in function, to calculate hashes, you don't need to write a hundred tests for all cases of hashing. Your code is just calling that code, so test to make sure that it behaves and fails in the proper ways.
Step 6: Running Your Tests, Locally and on TravisCI
Now that you have your tests written, you need to modify your build scripts to automatically run them, and tell TravisCI how to do this via a single command. As outlined above in Step 2, this will differ depending on your programming language and environment. For example, in a node.js JavaScript project, you specify the script to run when npm test is called via your package.json file. You should be able to run your entire test suite (all your tests) from the command line with a single command. If you can do that, TravisCI should be able to as well.
Step 7: Triggering Builds on TravisCI
TravisCI will run your build/test cycle every time you commit new code on master or open a Pull Request. You can try triggering a build by committing/pushing a new change to your master branch. This should (eventually) cause TravisCI to re-build your code. You can check on your project's builds at https://travis-ci.org/{github-user-name}/{github-repo-name}/builds. Make sure you can get TravisCI to re-build when you update your repo, and also make sure you can get your build to complete and be Green (passed) vs. Red (failed).
Submission
Please add your info to the table below. Include a blog post about the process above, what you learned, what you found interesting/new, what you got stuck on or found hard, and any other ideas you might have had while doing this. Did you know about TravisCI before doing this? What did you think of it?
