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.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.participants.csv, and LightLogR standardization safely
reconciles schema-declared source Id,
Datetime, and file.name columns.glc_collect() or the Explorer.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.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.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.glc_collect() output now exposes
file_group_id and rejects contradictory group relationships
or multiple device links within a dataset.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.glc_read() now reports file-level progress by default
in interactive sessions; set progress = FALSE to suppress
it.glc_read() calls now use datetime source
columns internally without retaining them unless the filters explicitly
select them.glc_collect() output now maps
dataset ids to Id, participant ids to
participant_Id, and removes internal .glc_*
columns.glc_search_metadata() can now search metadata values,
field paths, or both with the new search_in argument.glc_read(dataset_id = "all") skips files that are
intentionally absent from a local subset and reports the
discrepancy.
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