NEWS

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ravepipeline 0.1.0

• Added pipeline_plot_data to help dispatch plot methods defined from within a pipeline, keeping plot logic encapsulated inside the pipeline script
• Added pipeline_translate_settings, pipeline_export_wizard, and pipeline_import_wizard for translating and migrating settings between pipeline versions or modules
• Added import_settings method to the PipelineTools class for importing external settings directly into a pipeline instance; fixed an edge case where the internal settings map was a fastmap2 instead of a plain list
• Pipeline subset operator (pipeline[[...]]) now reads from settings.yaml when the pipeline has not yet been evaluated, providing access to default inputs before a run
• pipeline_get_preferences gains a modes argument for type-mode validation; stored values whose mode() does not match are treated as missing and ifnotfound is returned instead
• Added html_embed_write and html_embed_read to embed and recover arbitrary R objects as hidden data inside HTML documents
• JSON serialization sanitizes inputs before passing them to jsonlite, preventing conversion errors for types that jsonlite cannot encode
• pandoc discovery is now more robust and integrated into RAVE options; fixed RSTUDIO_PANDOC not being set in some environments; fixed pandoc not found on certain systems
• Pipeline reports no longer force toc and code_folding; these can now be customized by the caller; distill is used as an optional report style when the package is available, with rmarkdown as the fallback
• Added a callback argument to pipeline report generation for post-processing hooks; start_job gains log-streaming support so outputs always stream to the console; fixed a log-set bug when the job result is NULL and changed the default behavior to not attach the log file
• lapply_jobs now evaluates the worker function in the runtime_env environment so global helper functions defined in the same script can reference each other correctly
• PipelineTools$run_as_task enables running a pipeline as a shiny ExtendedTask, allowing non-blocking pipeline execution inside a Shiny app without blocking the session; pipelines also support early cancellation
• Added MCP helper utilities (docs_package_help_topics, docs_help_page, docs_package_implementation, search_package_info) for use with rave-pipelines repository tooling
• Pipeline templates are updated to match the latest shidashi framework changes; a timestamp is written on template updates; Python sub-module presence is verified before import
• ravepipeline_finalize_installation is now exported for post-install setup
• Miscellaneous fixes: corrected detect_generic_land() lookup, tightened embedding metadata accuracy, and removed obsolete vignettes

ravepipeline 0.0.3 (2025-09-10)

• Removed raveio from templates
• Internally, rs_job considers Positron-IDE
• Fixed incorrect path issue when the report working directory and output folder are identical
• Using distill for default report style, if available
• Added SVG plots to allow image overlays
• Added base64URI; using base64enc for more general base64 converter
• Fixed a bug where lapply_jobs callback fail to run due to zero-length messages
• Job processes are killed by default when the job is removed
• start_job uses callr for maximized consistency by default
• During @unmarshal, the package is loaded by default
• Pipeline serialization has been implemented
• Stores process handlers in the job ID to avoid the process to be shut down accidentally by garbage collector
• Fixed pipeline paths, added behavior for subjects
• Pipeline report has more allowed tweaks (theme, style, parameter)
• Implemented serialization for brain object

ravepipeline 0.0.2

• with_rave_parallel with one worker no longer runs in background, though users can force enabling this
• Added comparisons to RAVESerializable objects, allowing comparisons of two R6 objects inheriting this class
• Added RAVEFileArray to wrap against FileArray, allowing file-arrays to be serialized faster when running with mirai
• Added lapply_jobs, allowing down-stream packages to use it for looping with similar behaviors to lapply, while giving users options to parallel computing the results with with_rave_parallel
• Added RAVESerializable class for mirai, allowing for fast serialization when running lapply_jobs
• cat2 is no longer used as logging system and used logger instead
• Added rave_progress to replace dipsaus; removed dependencies on dipsaus
• Migrated logger from ravedash so this function can be used by ravecore and other depending packages
• Added print method to background jobs
• Added mirai as the optional background engine to run jobs
• Pipeline evaluation will have RAVE_PIPELINE_ACTIVE environment set to "true" to allow fast compile and debugging
• pipeline$read once disabled by targets during evaluation can now runs again with hacks
• Pipeline attach method also mounts shared environment for debugging
• Implemented pipeline reporting functions
• Added start_job to start background jobs, which can be converted into promises
• Make sure installing new snippets overwrites existing scripts
• Unset reporters for older versions of targets
• Fixed lazy evaluation issues
• Fixed a bug introduced by targets version 1.11.1 where use-after-free of cli progress crashes the pipeline run, the newer versions of that package has fixed it too
• Added optional functions to handle old raveio calls
• Removed questions once asked
• save yaml format now sort native lists with sorted=TRUE
• Removed call_pkg_fun for rstudioapi and use the package functions directly to avoid messing up with sys.call()
• Fixed entrace
• Added pipeline collections

ravepipeline 0.0.1 (2025-03-13)

• Initial CRAN submission.