NEWS
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)