3/4/2023 0 Comments Rmarkdown cache( sequenceConcurrently) are re-exported via Knit.Report. Combinators for launching a concurrent action ( async),Īwaiting ( await) it's result and running some traversable structure of concurrent actions Has logging facilities and support for inserting hvega,Īll of that is handled via writer-like effects, so additions to the documents can be interspersed with regular haskell code.Īs of version 0.8.0.0, the effect stack includes a couple of new features.įirstly, an "Async" effect ( Polysemy.Async)įor running computations concurrently. The idea is to be able to build HTML (or, perhaps, some other things Pandoc can write) Knit-haskell is an attempt to emulate parts of the RMarkdown/knitR experience in haskell. In particular, Pandoc has now switched to using Text instead of String for Well as the older versions, but there are some major changes which may affect you should you use any of the pandocįunctions directly. M圜onfig = (defaultKnitConfig $ Just "m圜ache") Īlso note that newer versions of Pandoc (2.9+) have their own breaking changes. It's a trivial change to make and should make the configuration more future-proof as long as you build your KnitConfig like, e.g., m圜onfig :: KnitConfig Handled: they are now all placed inside a KnitConfig. To move from v0.7.x.x to v0.8.x.x requires a change in how configuration parameters given to knit-html and knit-htmls are However, the recommend method is to use service accounts and ga_auth(json_file="auth_key.json") when using a server since this is easier and more secure in the long run. Then when you upload to Shiny Server or shinyapps.io, you should see the file in your upload choices: ![]() This will then create a project folder containing cache. Via gargle options, this needs to be changed for a project folder via: The cache folder is usually at the global location ~/.R/gargle/gargle-oauth. Since the token is not saved at a project level since v0.7.0 you will need to move or specify the cache folder for the tokens. This can be specified in the meta data via resource_files in the Rmd yaml. However, if you want to continue using your email cached credentials, you need to ensure that the authentication cache file is present when uploaded. The recommend method for authentication is to use service accounts and ga_auth(json_file="your_key.json") since this is easier and more secure in the long run. To see the reports online, you can upload RMarkdown documents to Shiny servers or shinyapps.io, to perhaps run on a schedule. Uploading RMarkdown files to Shinyapps.io/Shiny Server Create your Rmd report using ga_auth(json_file="auth_file.json"). ![]() Note the email you created for your service key file - it will look like Run ga_auth_setup() option 5 to add the service email from step 2 ( as a user for your Google Analytics account. Put this is a safe location out of your project folder.
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