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| For a working example check out the [[https://gitlab.control.lth.se/regler/FRTF10|FRTF10-repo]] where as soon as any changes in pdfs are pushed to the `to_canvas` folder on the master branch they are uploaded to the `from_gitlab` folder on the [[https://canvas.education.lu.se/courses/1342/files/folder/to_canvas|canvas page]]. | For a working example check out the [[https://gitlab.control.lth.se/regler/FRTF10|FRTF10-repo]] where as soon as anything is pushed to the `master` branch gitlab will automatically upload everything from the `to_canvas` folder to the `from_git` folder found in the [[https://canvas.education.lu.se/courses/1342/files/folder/from_git|course files]] on canvas. |
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| Gitlab CI is run through a file called `.gitlab-ci.yml` in the root folder of the repository. This file can setup the environment we need to run certain scripts, define how and what scripts should be run and define in what cases it should be run. For our example we use [[https://gitlab.control.lth.se/regler/FRTF10/blob/master/.gitlab-ci.yml|this]] file {{{#!highlight yaml image: "python:3.7" before_script: - python3 -m pip install canvasapi canvas_push: script: - python3 to_canvas.py stage: deploy only: refs: - master changes: - to_canvas/**/*.{pdf} }}} where `image` tells the runner to use a python3 docker image, `before_script` runs a command in the container created from the image that installs the package canvasapi and the python script runs if any pdf-files in the folder to_canvas has been modified. |
Gitlab CI is run through a file called `.gitlab-ci.yml` in the root folder of the repository. This file can setup the environment we need to run certain scripts, define how and what scripts should be run and define in what cases it should be run. An example file can be found [[https://gitlab.control.lth.se/regler/canvassync/-/blob/master/gitlab-ci.yml|here]]. It contains the CANVAS_COURSE_CODE variable which allows the script to figure out which canvas page it should upload to. |
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| See https://gitlab.control.lth.se/regler/<REPO>/-/settings/ci_cd, where <REPO> should be replaced with the repository name, for instructions about runners. Hopefully we will soon have some shared runners for the department, but for the moment they have to be set up for each project specifically. | Runners are computers that clone the repo and runs the scripts once something is pushed to `master`. Currently Anders Nilsson has set up his computer as a runner for GitLab, but it should work with other runners also. |
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| The [[https://gitlab.control.lth.se/regler/FRTF10/blob/master/to_canvas.py|current script]] uploads all pdf files from a folder (with subfolders) and creates the corresponding folder structure on canvas. The script assumes there exists environment variables for a canvas API token and canvas course code. A token can be added by navigating to https://gitlab.control.lth.se/regler/<REPO>/-/settings/ci_cd, where you replace <REPO> with the repository name, and looking under Variables. There you add a token with name `CANVAS_TOKEN` and one with name `CANVAS_COURSE_CODE`. |
The [[https://gitlab.control.lth.se/regler/canvassync/-/blob/master/canvas_sync.py|python script]] doing the work in the background just scans for a folder called `to_canvas` in the root directory and using the `canvasapi` package it uploads each individual file with corresponding file structure into the `from_git` folder in canvas. |
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| The API token can be generated in a canvas profile, and this one is generated from an account that should have access to all courses run by Automatic Control `13596~t2TYuTRlaJnfvyTznfvhDOqq7B85o2wD2jU8NBCsixzLirB8nceTFIvUzbldIa1K`. | The API token can be generated in a canvas profile, and this one is generated from an account that should have access to all courses run by Automatic Control `13596~t2TYuTRlaJnfvyTznfvhDOqq7B85o2wD2jU8NBCsixzLirB8nceTFIvUzbldIa1K`. It is available to all repositories in the regler group on gitlab as an environment variable under the name CANVAS_TOKEN. |
Gitlab to Canvas syncing
For a working example check out the FRTF10-repo where as soon as anything is pushed to the master branch gitlab will automatically upload everything from the to_canvas folder to the from_git folder found in the course files on canvas.
Gitlab CI
Gitlab CI is run through a file called .gitlab-ci.yml in the root folder of the repository. This file can setup the environment we need to run certain scripts, define how and what scripts should be run and define in what cases it should be run. An example file can be found here. It contains the CANVAS_COURSE_CODE variable which allows the script to figure out which canvas page it should upload to.
Runners
Runners are computers that clone the repo and runs the scripts once something is pushed to master. Currently Anders Nilsson has set up his computer as a runner for GitLab, but it should work with other runners also.
Python script
The python script doing the work in the background just scans for a folder called to_canvas in the root directory and using the canvasapi package it uploads each individual file with corresponding file structure into the from_git folder in canvas.
Currently the script will upload and replace files if they already exists, but it wont otherwise delete files if they are removed from the repo.
Canvas API Token
The API token can be generated in a canvas profile, and this one is generated from an account that should have access to all courses run by Automatic Control 13596~t2TYuTRlaJnfvyTznfvhDOqq7B85o2wD2jU8NBCsixzLirB8nceTFIvUzbldIa1K. It is available to all repositories in the regler group on gitlab as an environment variable under the name CANVAS_TOKEN.