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
- 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