glcdp 1.0.0
- Promoted schema 3.0.2 to the current default and primary stable
import contract, while retaining 3.0.0 and 3.0.1 as compatible stable
predecessors. Schema 3.0.2 is a corrective patch that requires
datasheet_channel to contain at least one entry when
present; its metadata-driven data import contract is unchanged. Schema
1.0.0 and 2.0.0 remain available as barebones legacy compatibility
paths.
- Declared variable types and factor levels in schema-declared order
now drive import, including boolean
true/false
and 1/0 representations. Variable and
factor-level descriptions are exposed in glc_variables(),
and per-file encodings declared by a file group are applied to the
corresponding files. glc_collect() rejects groups whose
factor labels or level order differ.
- Added a scheduled and manually dispatchable live schema 3.0.2
integration check against the validated IZTECH package. It covers exact
Explorer inventories, metadata resources, factor and integer imports,
selection, download, and local reopen behavior.
- Metadata summaries now load tabular core resources such as
participants.csv, and LightLogR standardization safely
reconciles schema-declared source Id,
Datetime, and file.name columns.
- Collection-datetime groups can now be combined across participants
when their formats agree; the participant-specific timestamp values are
no longer mistaken for different datetime schemas in either
glc_collect() or the Explorer.
- Remote file metadata, full inventories, and package summaries are
now cached for immutable revisions. Small Git blobs are inspected
concurrently for LFS pointers, and
glc_summary() counts
variables directly from the normalized model instead of constructing the
complete variable inventory.
glc_explore() now accepts IDE-provided Shiny viewer
functions through shiny.launch.browser. A central,
accessible status banner describes registry, package, summary, contents,
selection, and preview loading work. Package contents can be loaded
directly from the completed summary without leaving that view;
completion offers a direct handoff to the loaded contents, and failures
can be retried in place.
- Explorer file groups can now be discovered by device, wearing
position and type, modality, role, data state, contained source
variables, and semantic terms in both Package contents and Select &
hand off. These field filters narrow participant-specific repeated
groups before exact group selection. The complete filtered result,
rather than only its current page, can be transferred from Package
contents into a preseeded handoff.
- Numeric participant characteristics use inclusive range sliders. The
metadata hierarchy loads complete records incrementally, keeps table
paging independent, labels participant-characteristic records with
participant and characteristic names, and presents singular flat child
objects inline without hiding genuinely repeatable record collections.
Repeated leaf fields, such as study-group inclusion, exclusion, and
dataset lists, are folded with record counts; compact label/value grids
remove the former wide spacing. Dense records show an in-place loading
message and progress indicator while their values render. Metadata
results are no longer truncated after 500 values.
- Large Explorer inventories now remain responsive by paging File
groups, Variables, and included handoff groups at 100 rows, abbreviating
long selection-summary lists, deferring metadata hierarchy indexing
until its view is opened, and serving large selectize choice sets from
the Shiny session. A page-level busy pulse and output spinners provide
immediate feedback during remaining reactive work.
- Package contents now opens in the order Metadata, Datasets,
Variables, and File groups. Metadata field labels stay on one aligned
line, record nodes use a domain-neutral icon, and discovery sidebars
omit the redundant Filters heading. File-group compatibility is
summarized by a compact green or orange action above the filters;
incompatible selections open focused refinement guidance instead of
occupying the result card. The completed package-summary action opens
Package contents directly on Metadata.
- Explorer handoffs can now filter on schema semantic terms as well as
source variable names. Variable filters automatically retain a
collectable subset of file groups and report included and excluded
counts instead of emitting one incompatibility error for every excluded
group. The former Recommended action is now Primary,
reflecting schema-declared primary variables and falling back to all
variables when none are declared.
- Select & hand off now starts with an explicit
package-and-metadata or measurement-data choice. Metadata-only scripts
pin the validated revision, download selected core resources, and load
no measurement files. Data handoffs now use one full-width, seven-step
wizard whose visible tabs cover package/metadata, file groups/datasets,
participants/devices, variables/terms/rows, review, preview, and R
export. Each step separates controls from a stable information column,
fills the available window height, and uses equal-width Back/Continue
navigation. Large dataset and exact-group selections scroll inside
bounded inputs instead of stretching the card. Downstream filters
temporarily narrow rather than erase the dataset and exact-file-group
baseline selected in Step 2. Preview reads two files by default, with
independent file and row limits, while an optional maximum rows per file
is retained in the exported
glc_read() call. Review now
presents its selection and included-group tables as an accordion, with
the selection open initially. Preview results sit directly below their
build action, export scripts sit directly below their download action,
and step content scrolls independently so Back/Continue controls remain
visible. Generated data scripts clean up their temporary handoff
settings, leaving only local_package and
glc_data.
glcdp 0.9.3
- Added
extract_metadata() and
add_metadata() to select requested metadata by
imported-data identifiers and optionally join it onto every observation.
Their default file_group_id link traverses from each file
group to its dataset, participant, study, and device; dataset-level
extraction remains available with by = "Id". Extracted
summaries retain the input dataset’s grouping and grouping columns.
- LightLogR-standardized
glc_collect() output now exposes
file_group_id and rejects contradictory group relationships
or multiple device links within a dataset.
- Added
glc_explore(), a Shiny application for browsing
the registry, inspecting package contents and hierarchical metadata,
filtering datasets, file groups, participants, devices, and variables,
previewing selections, and exporting annotated reproducible R
scripts.
- Added a documented Posit Connect deployment entry point and
dependency manifest workflow.
glcdp 0.9.1
- Corrected the package logo, removed its exterior background for
transparent display, and refreshed the pkgdown logo and favicon
assets.
glcdp 0.9.0
- Initial package implementation for registry discovery, metadata
inspection, selective downloads, Git LFS retrieval, and metadata-driven
data import.
- Added a pkgdown website and workflow vignettes covering discovery,
metadata inspection, selective import, collection, and reproducible
downloads.
glc_read() now reports file-level progress by default
in interactive sessions; set progress = FALSE to suppress
it.
- Filtered
glc_read() calls now use datetime source
columns internally without retaining them unless the filters explicitly
select them.
- LightLogR-standardized
glc_collect() output now maps
dataset ids to Id, participant ids to
participant_Id, and removes internal .glc_*
columns.
- Fixed remote loading of small Git blobs and metadata searches
through nested data-frame fields, resolving the metadata examples in the
vignettes.
glc_search_metadata() can now search metadata values,
field paths, or both with the new search_in argument.
- Unauthenticated ordinary Git file transfers now use immutable
raw-content URLs, preventing per-file GitHub API rate limits during
reads and downloads.
- Summaries of local subsets now distinguish available from declared
datasets, file groups, and files;
glc_read(dataset_id = "all") skips files that are
intentionally absent from a local subset and reports the
discrepancy.