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Read the run-tracking baseline ledger

Source: R/lnk_baseline_read.R
lnk_baseline_read.Rd

Loads the per-run baseline CSV (each row stamps which upstream build a particular comparison or sync ran against) into a tibble and validates the column shape matches cols_baseline.

Usage

lnk_baseline_read(path = "data-raw/logs/bcfp_baselines.csv")

Arguments

path

Path to the ledger CSV. Defaults to data-raw/logs/bcfp_baselines.csv relative to the working directory.

Value

A tibble with one row per recorded run. Columns: run_started_pdt, host, run_label, link_schema, bcfp_model_run_id, bcfp_model_version, bcfp_date_completed, notes. All character. bcfp_model_run_id may be empty for workflow-generated rows that lacked DB-tunnel access (Path 2).

Details

Companion: lnk_baseline_append() writes rows; this reads them.

Fails loud if the file's column header doesn't match cols_baseline. Schema migrations to the ledger should update cols_baseline in R/lnk_baseline_read.R and migrate the CSV in lockstep.

See also

lnk_baseline_append()

Other baseline: lnk_baseline_append(), lnk_baseline_current()

Examples

if (FALSE) { # \dontrun{
baseline <- lnk_baseline_read()
tail(baseline)

# Filter to csv-sync-generated rows.
subset(baseline, grepl("^csv-sync-", run_label))
} # }