So for your scenario, does it satisfy your requirements if you set $ARTIFACT_NAME in the first step of the job? I wonder if the reason might be that the runner context isn't created until the first step - I'm not sure I have a way of testing this. The workaround I've got for now is to add a step specifically to set environment variables: steps:Įcho "ARTIFACT_NAME=spam-$ in shell commands. I'm looking for a way to set the environment variable for all steps in the job, so an env inside a step item won't do. ![]() Similar code completion on GitHub action workflows, context and expressions. Is there any way to reference the runner context to set an environment variable within the env clause of a job, as shown above? Github actions is a collection of YAML formatted automation definitions. However, I can't find any official documentation addressing this. This SO Q&A mentions that the env context can only be used in specific places, so I suspect something similar is happening here. I'm attempting to use the os attribute of the runner context. Located at position 1 within expression: runner.os Contexts are often used in expressions to determine whether or not a step of the workflow should be executed or to set some variables as you can see in the sample below. ![]() When this runs, the workflow fails at startup with this: The workflow is not valid. If you are not familiar with contexts in GitHub Actions, they are objects that contain information about the current workflow, job, runner, or things like that. For two annual tree mortality censuses and a dendrometer band survey at two forest research sites, we used GitHub Actions continuous integration (CI) to automate data QA/QC and run routine data wrangling scripts to produce cleaned datasets ready for analysis. If you stumbled on this answer looking for a quick way to print/log all Actions contexts for debugging purposes, there is an action that allows you to do it in one line: - uses: crazy-max/ghaction-dump-contextv1. Here's a GitHub Actions workflow file for a Python project named spam: name: PyInstaller Here, we implement and test a system to satisfy these needs.
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