Download Gitlab Artifacts Wget
Vida Hubbert
be careful you have to use the exact job name, first i had one stage build but two jobs for it tag and master so my job names were build:master and build:tag which resulted in a 404 if you use -group/yaml-convert/-/jobs/artifacts/master/download?job=build
i have not tried to use build:master as job name for the download url, i renamed my jobs in the .gitlab-ci.yml to build-master and changed the url to -group/yaml-convert/-/jobs/artifacts/master/download?job=build-master which worked without 404.
By default, GitHub stores build logs and artifacts for 90 days, and you can customize this retention period, depending on the type of repository. For more information, see "Managing GitHub Actions settings for a repository."
To download all artifacts generated by a workflow run, use the run download subcommand. Replace run-id with the ID of the run that you want to download artifacts from. If you don't specify a run-id, GitHub CLI returns an interactive menu for you to choose a recent run.
To download a specific artifact from a run, use the run download subcommand. Replace run-id with the ID of the run that you want to download artifacts from. Replace artifact-name with the name of the artifact that you want to download.
GitLab CI/CD is a wonderful continuous integration built-in solution, and in this post we'll walk through how to set up a basic config file (.gitlab-ci.yml) to ensure your Android app compiles and passes unit and functional tests. We assume that you know the process of creating an Android app, can write and run tests locally, and are familiar with the basics of the GitLab UI.
If you already have working unit tests, you shouldn't have to make any adjustments to have them work with GitLab CI. Materialistic uses Robolectric for tests, Jacoco for coverage, and also has a linting pass. We'll get all of these easily running in our .gitlab-ci.yml example except for Jacoco, since that requires a secret token we do not have - though I will show you how to configure that in your own projects.
We want to be able to configure our project so that our app is built, and it has the complete suite of tests run upon check-in. To do so, we have to create our GitLab CI configuration file, called .gitlab-ci.yml, and place it in the root of our project.
These commands ensure that our package repository listings are up to date, and it installs packages we'll be using later on, namely: wget, tar, unzip, and some packages that are necessary to allow 64-bit machines to run Android's 32-bit tools.
This defines our first job, called build. It has two parts - a linter to ensure that the submitted code is up to snuff, and the actual compilation of the code (and configuration of the artifacts that GitLab should expect to find). These are run in parallel for maximum efficiency.
After you've added your new .gitlab-ci.yml file to the root of your directory, just push your changes to the appropriate branch and off you go! You can see your running builds in the Pipelines tab of your project. You can even watch your build execute live and see the runner's output, allowing you to debug problems easily.
In a previous post we showed how to build and store Docker images in GitLab. Building on that, we will demonstrate a workflow to Dockerise a custom tool which first needs to be compiled while minimising time to deployment by storing artifacts in the Package Registry.
Uploading works the same way as retrieval: wget --header="JOB-TOKEN:$CI_JOB_TOKEN" --method=PUT --body-file="$ARTIFACT_PATH$ARTIFACT_FILE" "$ARTIFACT_URL". With very little around these we can push and pull on the registry.
Now add the changes, commit them and push them to the remote repository on gitlab. A pipeline will be triggered with respect to your commit. And if everything goes well our mission will be accomplished.
On my home server I have the runner software installed (which, on Linux, adds a user "gitlab-runner"), which is easy to maintain via apt. Furthermore I installed TeXlive without the package manager (aka "the recommended way") and made sure that the user "gitlab-runner" can use it.
From the .gitlab-ci.yml file a makefile is called, which in turn calls a bash script for the compilation of the several files. Empowered by the caching feature, latexmk is only run for modified files and only the updated files are reuploaded via WebDAV to the aforementioned OwnCloud installation.
This answer provides examples for CI files that I use to compile LaTeX documents on Gitlab CI. They use the latest TeX Live image from the Island of TeX to provide a basic TeX Live installation including Pygmentize (they provide snapshots for older TeX Live distributions as well). If you want to use one of these, simply put them into your .gitlab-ci.yml file.
This document describes how to work with artifacts on CircleCI. Use artifacts to persist data after a job or pipeline has completed. For example building documents or other assets, or saving test results for further inspection.
The store_artifacts step uploads two build artifacts: a file (/tmp/artifact-1) and a directory (/tmp/artifacts). After the artifacts successfully upload, view them in the Artifacts tab of the Job page in your browser. If you are uploading hundreds of artifacts, then consider compressing and uploading as a single compressed file to accelerate this step. There is no limit on the number of store_artifacts steps a job can run.
When using self-hosted runners, there is a network and storage usage limit included in your plan. There are certain actions related to artifacts that will accrue network and storage usage. Once your usage exceeds your limit, charges will apply.
Retaining an artifact for a long period of time will have storage cost implications, therefore, it is best to determine why you are retaining artifacts. One benefit of retaining an artifact might be so you can use it to troubleshoot why a build is failing. Once the build passes, the artifact is likely not needed. Setting a low storage retention for artifacts is recommended if this suits your needs.
You can customize storage usage retention periods for artifacts on the CircleCI web app by navigating to Plan Usage Controls. For information on managing network and storage usage, see the Persisting Data page.
Often we see that the store_artifacts step is being used on a large directory when only a few files are really needed, so a simple action you can take is to check which artifacts are being uploaded and why.
If your pipelines build a binary or uberJAR, consider if these are necessary for every commit. You may wish to only upload artifacts on failure or success, or perhaps only on a single branch using a filter.
The when attribute lets you filter what happens within a step in your configuration. The when attribute can be set to on_success, on_fail or always. To only upload artifacts for tests that have failed, add the when: on_fail line to your job as follows:
To start the build job, we need to define the job name and the stage. in the **script **tag we need to mention the Gradle script to build the android app. Also, In the **artifacts **tag, we need to define the output apk file location. So, that we can download the output of the build.
GitLab provides the Editor for the **.gitlab-ci.yml **file. You can directly edit and commit the yml file in the web app itself. Also, GitLab providing the default template for the different environments.
The .gitlab-ci.yml includes configurations that BrowserStack uses to authenticate and run the test cases. You can use the information in this section to edit the .yml file and add configurations, such as, BrowserStack credentials, Local settings, and so on. For your existing repositories hosted in GitLab, integrating BrowserStack requires minimal changes to your environment.
If you are testing websites hosted locally as part of your testing or development environment, configure your .gitlab-ci.yml file to use the BrowserStack Local binary and route your tests through the local server. Apart from setting up a Local connection, you must also add the local capability in your test scripts.
If you chose to use BrowserStack Local binary as a way to establish a local connection, in the .gitlab-ci.yml file you must configure the before_script keyword to automatically download and start the binary.
Repositories are not just a place to store artifacts. I mean, yes, that's their primary purpose but they have evolved into much more than just a storage locker. Today, repositories like GitLab and GitHub can be a key component of the automated pipeline. Using triggers and events, repositories act not only as a place to store artifacts but as tools in a larger toolchain. Commit kicks off a job that, when finished, invokes a webhook that triggers the next step in the pipeline.
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