Files
kapteins-daagbok/client/src/services/nmea/nmeaJournalGenerator.ts
T
elpatron 3cab735754 refactor: replace parseFloat with parseAppDecimal and formatAppDecimal for improved number handling
Updated various components to utilize parseAppDecimal and formatAppDecimal for consistent decimal parsing and formatting. This change enhances the handling of numeric inputs across the application, ensuring better accuracy and user experience in forms and displays.
2026-06-03 18:07:22 +02:00

148 lines
4.6 KiB
TypeScript

import type { TFunction } from 'i18next'
import type { LogEventPayload } from '../../utils/logEntryPayload.js'
import { normalizeLogEvent } from '../../utils/logEntryPayload.js'
import { formatCourseAngle } from '../../utils/courseAngle.js'
import { formatAppDecimal, formatCanonicalCoordinate } from '../../utils/numberFormat.js'
import { degreesToCardinal } from '../../utils/courseAngle.js'
import type {
NmeaChangeEvent,
NmeaImportMode,
NmeaJournalCandidate,
NmeaTimePoint
} from './nmeaTypes.js'
import { detectNmeaChanges } from './nmeaChangeDetection.js'
import { intervalTimestamps, sampleAt, timestampToHHMM } from './nmeaTimeSeries.js'
export interface GeneratedNmeaJournal {
candidates: Array<NmeaJournalCandidate & { event: LogEventPayload }>
}
function pointToLogEvent(
point: NmeaTimePoint,
remarks: string,
sailsOrMotor: string
): LogEventPayload {
const course = point.cog ?? point.hdt ?? point.hdm
const mgk = course != null ? formatCourseAngle(course) : ''
const windDir =
point.windDir != null ? degreesToCardinal(point.windDir) : ''
return normalizeLogEvent({
time: timestampToHHMM(point.timestamp),
mgk,
rwk: '',
windDirection: windDir,
windStrength: point.windSpeedKnots != null ? String(point.windSpeedKnots) : '',
windPressure: point.pressureHpa != null ? String(Math.round(point.pressureHpa)) : '',
gpsLat: point.lat != null ? formatCanonicalCoordinate(point.lat) : '',
gpsLng: point.lng != null ? formatCanonicalCoordinate(point.lng) : '',
logReading:
point.logDistanceNm != null
? formatAppDecimal(point.logDistanceNm, { minimumFractionDigits: 2, maximumFractionDigits: 2 })
: '',
sailsOrMotor,
remarks
})
}
function changeToSailsOrMotor(type: NmeaChangeEvent['type']): string {
if (type === 'engine_start') return 'Motor'
if (type === 'engine_stop') return 'Segel'
return ''
}
function buildRemarks(change: NmeaChangeEvent, t: TFunction): string {
const parts: string[] = []
parts.push(t(change.summaryKey, change.summaryParams ?? {}))
if (change.data?.depthM != null) {
parts.push(
t('logs.nmea_remark_depth', {
depth: formatAppDecimal(change.data.depthM, { minimumFractionDigits: 1, maximumFractionDigits: 1 })
})
)
}
if (change.confidence === 'low') {
parts.push(t('logs.nmea_remark_uncertain'))
}
return parts.join(' · ')
}
function dedupeCandidates(
items: Array<NmeaJournalCandidate & { event: LogEventPayload; timestamp: number }>,
windowMs: number
): Array<NmeaJournalCandidate & { event: LogEventPayload }> {
const sorted = [...items].sort((a, b) => a.timestamp - b.timestamp)
const kept: typeof sorted = []
for (const item of sorted) {
const near = kept.find((k) => Math.abs(k.timestamp - item.timestamp) <= windowMs)
if (!near) {
kept.push(item)
continue
}
if (item.source === 'change' && near.source === 'interval') {
const idx = kept.indexOf(near)
kept[idx] = {
...item,
event: {
...near.event,
remarks: [item.event.remarks, near.event.remarks].filter(Boolean).join(' · ')
}
}
}
}
return kept
}
export function generateNmeaJournalCandidates(options: {
points: NmeaTimePoint[]
mode: NmeaImportMode
intervalMinutes: number
t: TFunction
}): GeneratedNmeaJournal {
const { points, mode, intervalMinutes, t } = options
const items: Array<NmeaJournalCandidate & { event: LogEventPayload; timestamp: number }> = []
if (mode === 'interval' || mode === 'both') {
for (const ts of intervalTimestamps(points, intervalMinutes)) {
const sample = sampleAt(points, ts)
if (!sample) continue
items.push({
id: `interval-${ts}`,
timestamp: ts,
source: 'interval',
selected: true,
event: pointToLogEvent(sample, t('logs.nmea_remark_interval'), '')
})
}
}
if (mode === 'change' || mode === 'both') {
const changes = detectNmeaChanges(points)
for (const change of changes) {
const sample = change.data ?? sampleAt(points, change.timestamp)
if (!sample) continue
items.push({
id: `change-${change.type}-${change.timestamp}`,
timestamp: change.timestamp,
source: 'change',
changeType: change.type,
confidence: change.confidence,
selected: true,
event: pointToLogEvent(
{ ...sample, timestamp: change.timestamp },
buildRemarks(change, t),
changeToSailsOrMotor(change.type)
)
})
}
}
const deduped = mode === 'both'
? dedupeCandidates(items, 15 * 60 * 1000)
: items
return { candidates: deduped }
}