Run a gmsp batch pipeline

gmsp helpers such as AT2TS(), TSL2PS(), TS2IMF() and getIntensity() work directly on R objects. The run*() functions are optional batch runners for the same kind of work when the inputs and outputs are files controlled by a project JSON file.

Usage

runSelect(file = file.path("gmsp", "select.json"), root = getwd())

runGMSP(file = file.path("gmsp", "gmsp.json"), root = getwd())

runTrim(file = file.path("gmsp", "trim.json"), root = getwd())

runIMF(file = file.path("gmsp", "imf.json"), root = getwd())

runPSA(file = file.path("gmsp", "psa.json"), root = getwd())

runProcess(file = file.path("gmsp", "process.json"), root = getwd())

runStage0(file = file.path("gmsp", "match.json"), root = getwd())

runMatch(file = file.path("gmsp", "match.json"), root = getwd())

runPlot(file = file.path("gmsp", "plot.json"), root = getwd())

runExport(file = file.path("gmsp", "export.json"), root = getwd())

Arguments

file

character. Path to the pipeline JSON file.

root

character. Project root used to resolve relative JSON paths.

Value

Invisibly returns the runner exit status.

Details

Use the direct helpers for one record, one table, or interactive analysis. Use a runner when the same operation must be repeated over a declared selection of records and the output must be reproducible from a saved JSON contract.

Runner map

runSelect()

Builds a record selection table. The helper-level contract is selectRecords() plus project-owned metadata.

runStage0()

Builds a spectrally compatible record selection from the processed candidate pool: scores PSA against the target compatibility band declared in the match JSON, applies optional seismological screens (candidate.pool, candidate.filter, candidate.exclude, candidate.oneRecordPerEvent), and writes the top-stage0.N selection to path.selection together with the score table and a reusable spectra cache.

runGMSP()

Processes raw acceleration, velocity, or displacement records into canonical time histories. The helper-level contracts are AT2TS(), VT2TS() and DT2TS().

runTrim()

Applies an approved time-windowing contract to existing time histories.

runIMF()

Builds intrinsic-mode-function products from processed time histories. The helper-level contract is TS2IMF().

runPSA()

Builds elastic response spectra from processed time histories. The helper-level contract is TSL2PS().

runProcess()

Runs an approved composed processing contract for a project record set.

runMatch()

Runs an approved spectral-match contract for a selected record set. This is an advanced batch workflow, not a replacement for the response-spectrum helpers.

runPlot()

Builds optional raw QA/debug HTML widgets from existing products. It is not an SRK publication renderer.

runExport()

Packages existing products, metadata, and approved audit files into a delivery folder.

JSON and paths

Each runner reads one JSON file. Paths inside that JSON are resolved relative to root, normally the project root. The JSON file is a project input, not a global package option.

Installed template JSON files live under system.file("scripts", package = "gmsp"). A project may keep simpler names such as gmsp/select.json or pass an explicit template-style path such as gmsp/runSelect.json.

Plotting and SRK reports

runPlot() writes raw self-contained QA/debug widgets. SRK client plots are rendered outside gmsp by the report layer from materialized gmsp CSV products. Do not use runPlot() output as final SRK report output.

Examples

if (FALSE) { # \dontrun{
# Direct helper use for one in-memory table:
TSL <- AT2TS(DT, units.source = "mm", Fmax = 25, output = "TSL")

# Batch equivalent for a project-controlled record set:
runGMSP(file = "gmsp/gmsp.json", root = ".")

# Compute spectra for an existing batch product:
runPSA(file = "gmsp/psa.json", root = ".")
} # }