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R studio agent
R studio agent












What tripped me up was that, in part, the client platform did seem to be encoded in the URL as in "" ( bionic). It's probably (way) too late now, but just having stumbled over this, I'd vote for encoding it in the URL. Which "encoding" method would be easiest for R admins to set? The easiest for you all to debug and troubleshoot? Note that in either scenario RSPM parses the user agent header to determine the R version. In this scenario, the repo URL would stay the same across all operating systems: https://repo_name/latest/src/contrib, but the UA header would include something like: R 3.6.1. The operating_system_id would based on the different RSPM open source build systems, and admins would pick the repo URL best suited for their infrastructure.Įncoding this information in the user agent header. In this scenario, the repo URL would look something like: https://repo_name/_linux_/operating_system_id/latest/src/contrib. We are considering two alternatives:Įncoding this information in the RSPM_REPO url. But we still need a way for the client to tell RSPM what platform and version of R are in-use, so that RSPM can serve the appropriate binary. Short of changing install.packages, our plan is to use RSPM's advanced routing capabilities to serve binaries (or source as fallback) when install.packages makes a request to RSPM_REPO/src/contrib. For context, when R installs a package on Windows, install.packages knows to look for package binaries at CRAN_REPO/bin/windows/ instead of CRAN_REPO/src/contrib. Unfortunately, we can not make changes to the R core function install.packages such that it could request binaries for the client's platform. (The same way they would access Windows or Mac binaries from CRAN).

r studio agent

One of our critical goals is to ensure R users can access these binaries with minimal work, through install.packages. If you aren't familiar with package binaries this thread probably won't interest you, but imagine a world where installing the tidyverse on a Linux server takes seconds instead of 30-40 minutes! We are working on adding support for pre-compiled Linux binaries of R packages in RStudio Package Manager.














R studio agent