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Marcelo
2026-04-24 14:45:45 +00:00
parent 6aaafb9115
commit 5d3a2c533f
9 changed files with 325 additions and 303 deletions
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7
lib/i18n/en.json
View File

@@ -132,12 +132,12 @@
"recap.shift.1": "Shift 1",
"recap.shift.2": "Shift 2",
"recap.shift.3": "Shift 3",
"recap.kpi.oee": "OEE",
"recap.kpi.oee": "OEE Avg 24h",
"recap.kpi.noData": "No KPI data",
"recap.kpi.good": "Good parts",
"recap.kpi.stops": "Total stops (min)",
"recap.kpi.scrap": "Scrap",
"recap.card.oee": "OEE",
"recap.card.oee": "OEE Avg 24h",
"recap.card.good": "Good parts",
"recap.card.scrap": "Scrap",
"recap.card.stops": "Stops",
@@ -252,7 +252,8 @@
"machine.detail.tooltip.duration": "Duration",
"machine.detail.tooltip.ideal": "Ideal",
"machine.detail.tooltip.deviation": "Deviation",
"machine.detail.kpi.updated": "Updated {time}",
"machine.detail.kpi.oeeCurrent": "Current OEE",
"machine.detail.kpi.updated": "Updated {time}",
"machine.detail.currentWorkOrder": "Current Work Order",
"machine.detail.recentEvents": "Critical Events",
"machine.detail.noEvents": "No events yet.",

7
lib/i18n/es-MX.json
View File

@@ -132,12 +132,12 @@
"recap.shift.1": "Turno 1",
"recap.shift.2": "Turno 2",
"recap.shift.3": "Turno 3",
"recap.kpi.oee": "OEE",
"recap.kpi.oee": "OEE promedio 24h",
"recap.kpi.noData": "Sin datos de KPI",
"recap.kpi.good": "Buenas",
"recap.kpi.stops": "Paros totales (min)",
"recap.kpi.scrap": "Scrap",
"recap.card.oee": "OEE",
"recap.card.oee": "OEE promedio 24h",
"recap.card.good": "Piezas buenas",
"recap.card.scrap": "Scrap",
"recap.card.stops": "Paros",
@@ -252,7 +252,8 @@
"machine.detail.tooltip.duration": "Duración",
"machine.detail.tooltip.ideal": "Ideal",
"machine.detail.tooltip.deviation": "Desviación",
"machine.detail.kpi.updated": "Actualizado {time}",
"machine.detail.kpi.oeeCurrent": "OEE actual",
"machine.detail.kpi.updated": "Actualizado {time}",
"machine.detail.currentWorkOrder": "Orden de trabajo actual",
"machine.detail.recentEvents": "Eventos críticos",
"machine.detail.noEvents": "Sin eventos aún.",

362
lib/recap/getRecapData.ts
View File

@@ -1,5 +1,4 @@
import { unstable_cache } from "next/cache";
import { Prisma } from "@prisma/client";
import { prisma } from "@/lib/prisma";
import { normalizeShiftOverrides, type ShiftOverrideDay } from "@/lib/settings";
import type { RecapMachine, RecapQuery, RecapResponse } from "@/lib/recap/types";
@@ -28,7 +27,6 @@ const STOP_TYPES = new Set(["microstop", "macrostop"]);
const STOP_STATUS = new Set(["STOP", "DOWN", "OFFLINE"]);
const CACHE_TTL_SEC = 60;
const MOLD_LOOKBACK_MS = 14 * 24 * 60 * 60 * 1000;
let workOrderCountersAvailable: boolean | null = null;
function safeNum(value: unknown) {
if (typeof value === "number" && Number.isFinite(value)) return value;
@@ -229,10 +227,6 @@ function moldStartMs(data: unknown, fallbackTs: Date) {
return Math.trunc(safeNum(inner.start_ms) ?? safeNum(inner.startMs) ?? fallbackTs.getTime());
}
type WorkOrderCounterColumnRow = {
column_name: string;
};
type WorkOrderCounterRow = {
machineId: string;
workOrderId: string;
@@ -249,55 +243,27 @@ type WorkOrderCounterRow = {
async function loadWorkOrderCounterRows(params: {
orgId: string;
machineIds: string[];
start: Date;
end: Date;
}) {
if (!params.machineIds.length) return [] as WorkOrderCounterRow[];
try {
if (workOrderCountersAvailable == null) {
const columns = await prisma.$queryRaw<WorkOrderCounterColumnRow[]>`
SELECT column_name
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'machine_work_orders'
AND column_name IN ('good_parts', 'scrap_parts', 'cycle_count')
`;
const availableColumns = new Set(columns.map((row) => row.column_name));
workOrderCountersAvailable =
availableColumns.has("good_parts") &&
availableColumns.has("scrap_parts") &&
availableColumns.has("cycle_count");
}
if (!workOrderCountersAvailable) {
return null;
}
const machineIdList = Prisma.join(params.machineIds.map((id) => Prisma.sql`${id}`));
const rows = await prisma.$queryRaw<WorkOrderCounterRow[]>(Prisma.sql`
SELECT
"machineId",
"workOrderId",
sku,
"targetQty",
status,
"createdAt",
"updatedAt",
COALESCE(good_parts, 0)::int AS "goodParts",
COALESCE(scrap_parts, 0)::int AS "scrapParts",
COALESCE(cycle_count, 0)::int AS "cycleCount"
FROM "machine_work_orders"
WHERE "orgId" = ${params.orgId}
AND "machineId" IN (${machineIdList})
AND "updatedAt" >= ${params.start}
AND "updatedAt" <= ${params.end}
`);
return rows;
} catch {
return null;
}
return prisma.machineWorkOrder.findMany({
where: {
orgId: params.orgId,
machineId: { in: params.machineIds },
},
select: {
machineId: true,
workOrderId: true,
sku: true,
targetQty: true,
status: true,
createdAt: true,
updatedAt: true,
goodParts: true,
scrapParts: true,
cycleCount: true,
},
});
}
export function parseRecapQuery(input: {
@@ -435,8 +401,6 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
loadWorkOrderCounterRows({
orgId: params.orgId,
machineIds,
start: params.start,
end: params.end,
}),
prisma.machineHeartbeat.findMany({
where: {
@@ -605,41 +569,7 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
scrap: number;
target: number | null;
};
const skuMap = new Map<string, SkuAggregate>();
const rangeByWorkOrder = new Map<string, { goodParts: number; scrapParts: number; firstTs: Date | null; lastTs: Date | null }>();
const kpiLatestByWorkOrder = new Map<string, { good: number; scrap: number; ts: Date; sku: string | null }>();
let latestTelemetry: { ts: Date; workOrderId: string | null; sku: string | null } | null = null;
let goodParts = 0;
let scrapParts = 0;
const ensureSkuRow = (skuInput: string | null) => {
const skuToken = normalizeToken(skuInput) || "N/A";
const key = skuKey(skuToken);
const existing = skuMap.get(key);
if (existing) return existing;
const target = targetBySku.get(key)?.target ?? null;
const created: SkuAggregate = {
machineName: machine.name,
sku: skuToken,
good: 0,
scrap: 0,
target,
};
skuMap.set(key, created);
return created;
};
type KpiRangeAggregate = {
workOrderId: string | null;
sku: string | null;
minGood: number | null;
maxGood: number | null;
minScrap: number | null;
maxScrap: number | null;
firstTs: Date | null;
lastTs: Date | null;
};
const kpiRanges = new Map<string, KpiRangeAggregate>();
for (const kpi of dedupedKpis) {
if (!latestTelemetry || kpi.ts > latestTelemetry.ts) {
@@ -649,79 +579,9 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
sku: normalizeToken(kpi.sku) || null,
};
}
const workOrderId = normalizeToken(kpi.workOrderId) || null;
const sku = normalizeToken(kpi.sku) || null;
const goodCounterRaw = safeNum(kpi.goodParts) ?? safeNum(kpi.good);
const scrapCounterRaw = safeNum(kpi.scrapParts) ?? safeNum(kpi.scrap);
const goodCounter = goodCounterRaw != null ? Math.max(0, Math.trunc(goodCounterRaw)) : null;
const scrapCounter = scrapCounterRaw != null ? Math.max(0, Math.trunc(scrapCounterRaw)) : null;
const woKey = workOrderKey(workOrderId);
if (woKey) {
const existingLatest = kpiLatestByWorkOrder.get(woKey);
if (!existingLatest || kpi.ts > existingLatest.ts) {
kpiLatestByWorkOrder.set(woKey, {
good: goodCounter ?? 0,
scrap: scrapCounter ?? 0,
ts: kpi.ts,
sku,
});
}
}
if ((goodCounter == null && scrapCounter == null) || (!workOrderId && !sku)) continue;
const key = `${woKey || "__none"}::${skuKey(sku) || "__none"}`;
const current = kpiRanges.get(key) ?? {
workOrderId,
sku,
minGood: null,
maxGood: null,
minScrap: null,
maxScrap: null,
firstTs: null,
lastTs: null,
};
if (goodCounter != null) {
current.minGood = current.minGood == null ? goodCounter : Math.min(current.minGood, goodCounter);
current.maxGood = current.maxGood == null ? goodCounter : Math.max(current.maxGood, goodCounter);
}
if (scrapCounter != null) {
current.minScrap = current.minScrap == null ? scrapCounter : Math.min(current.minScrap, scrapCounter);
current.maxScrap = current.maxScrap == null ? scrapCounter : Math.max(current.maxScrap, scrapCounter);
}
if (!current.firstTs || kpi.ts < current.firstTs) current.firstTs = kpi.ts;
if (!current.lastTs || kpi.ts > current.lastTs) current.lastTs = kpi.ts;
kpiRanges.set(key, current);
}
if (kpiRanges.size > 0) {
for (const agg of kpiRanges.values()) {
const rangeGood = Math.max(0, (agg.maxGood ?? 0) - (agg.minGood ?? agg.maxGood ?? 0));
const rangeScrap = Math.max(0, (agg.maxScrap ?? 0) - (agg.minScrap ?? agg.maxScrap ?? 0));
const skuRow = ensureSkuRow(agg.sku);
skuRow.good += rangeGood;
skuRow.scrap += rangeScrap;
goodParts += rangeGood;
scrapParts += rangeScrap;
const woKey = workOrderKey(agg.workOrderId);
if (!woKey) continue;
const existing = rangeByWorkOrder.get(woKey) ?? {
goodParts: 0,
scrapParts: 0,
firstTs: null,
lastTs: null,
};
existing.goodParts += rangeGood;
existing.scrapParts += rangeScrap;
if (agg.firstTs && (!existing.firstTs || agg.firstTs < existing.firstTs)) existing.firstTs = agg.firstTs;
if (agg.lastTs && (!existing.lastTs || agg.lastTs > existing.lastTs)) existing.lastTs = agg.lastTs;
rangeByWorkOrder.set(woKey, existing);
}
} else {
if (!latestTelemetry) {
for (const cycle of dedupedCycles) {
if (!latestTelemetry || cycle.ts > latestTelemetry.ts) {
latestTelemetry = {
@@ -730,95 +590,91 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
sku: normalizeToken(cycle.sku) || null,
};
}
const skuRow = ensureSkuRow(normalizeToken(cycle.sku) || null);
const good = Math.max(0, Math.trunc(safeNum(cycle.goodDelta) ?? 0));
const scrap = Math.max(0, Math.trunc(safeNum(cycle.scrapDelta) ?? 0));
skuRow.good += good;
skuRow.scrap += scrap;
goodParts += good;
scrapParts += scrap;
const woKey = workOrderKey(cycle.workOrderId);
if (!woKey) continue;
const existing = rangeByWorkOrder.get(woKey) ?? {
goodParts: 0,
scrapParts: 0,
firstTs: null,
lastTs: null,
};
existing.goodParts += good;
existing.scrapParts += scrap;
if (!existing.firstTs || cycle.ts < existing.firstTs) existing.firstTs = cycle.ts;
if (!existing.lastTs || cycle.ts > existing.lastTs) existing.lastTs = cycle.ts;
rangeByWorkOrder.set(woKey, existing);
}
}
const openWorkOrders = machineWorkOrdersSorted.filter(
(wo) => String(wo.status).toUpperCase() !== "COMPLETED"
);
for (const wo of openWorkOrders) {
ensureSkuRow(normalizeToken(wo.sku) || null);
}
if (latestTelemetry?.sku) ensureSkuRow(latestTelemetry.sku);
const hasAuthoritativeWorkOrderCounters = machineWorkOrderCounters.length > 0;
const authoritativeWorkOrderProgress = new Map<
string,
{ goodParts: number; scrapParts: number; cycleCount: number; firstTs: Date | null; lastTs: Date | null }
>();
const authoritativeSkuMap = new Map<string, SkuAggregate>();
let authoritativeGoodParts = 0;
let authoritativeScrapParts = 0;
let goodParts = 0;
let scrapParts = 0;
let authoritativeCycleCount = 0;
if (hasAuthoritativeWorkOrderCounters) {
for (const row of machineWorkOrderCounters) {
const safeGood = Math.max(0, Math.trunc(safeNum(row.goodParts) ?? 0));
const safeScrap = Math.max(0, Math.trunc(safeNum(row.scrapParts) ?? 0));
const safeCycleCount = Math.max(0, Math.trunc(safeNum(row.cycleCount) ?? 0));
const skuToken = normalizeToken(row.sku) || "N/A";
const skuTokenKey = skuKey(skuToken);
const target = safeNum(row.targetQty);
const skuAgg = authoritativeSkuMap.get(skuTokenKey) ?? {
machineName: machine.name,
sku: skuToken,
good: 0,
scrap: 0,
target: target != null && target > 0 ? Math.max(0, Math.trunc(target)) : null,
};
skuAgg.good += safeGood;
skuAgg.scrap += safeScrap;
if (target != null && target > 0) {
skuAgg.target = (skuAgg.target ?? 0) + Math.max(0, Math.trunc(target));
const ensureAuthoritativeSku = (
skuInput: string | null,
targetInput?: number | null,
useFallbackTarget = true
) => {
const skuToken = normalizeToken(skuInput) || "N/A";
const skuTokenKey = skuKey(skuToken);
const targetFallback = useFallbackTarget ? targetBySku.get(skuTokenKey)?.target ?? null : null;
const explicitTarget =
targetInput != null && targetInput > 0 ? Math.max(0, Math.trunc(targetInput)) : null;
const normalizedTarget = explicitTarget ?? targetFallback;
const existing = authoritativeSkuMap.get(skuTokenKey);
if (existing) {
if (explicitTarget != null) {
existing.target = (existing.target ?? 0) + explicitTarget;
} else if (normalizedTarget != null && existing.target == null) {
existing.target = normalizedTarget;
}
authoritativeSkuMap.set(skuTokenKey, skuAgg);
authoritativeGoodParts += safeGood;
authoritativeScrapParts += safeScrap;
authoritativeCycleCount += safeCycleCount;
const woKey = workOrderKey(row.workOrderId);
if (!woKey) continue;
const progress = authoritativeWorkOrderProgress.get(woKey) ?? {
goodParts: 0,
scrapParts: 0,
cycleCount: 0,
firstTs: null,
lastTs: null,
};
progress.goodParts += safeGood;
progress.scrapParts += safeScrap;
progress.cycleCount += safeCycleCount;
if (!progress.firstTs || row.createdAt < progress.firstTs) progress.firstTs = row.createdAt;
if (!progress.lastTs || row.updatedAt > progress.lastTs) progress.lastTs = row.updatedAt;
authoritativeWorkOrderProgress.set(woKey, progress);
return existing;
}
const created: SkuAggregate = {
machineName: machine.name,
sku: skuToken,
good: 0,
scrap: 0,
target: normalizedTarget,
};
authoritativeSkuMap.set(skuTokenKey, created);
return created;
};
for (const row of machineWorkOrderCounters) {
const safeGood = Math.max(0, Math.trunc(safeNum(row.goodParts) ?? 0));
const safeScrap = Math.max(0, Math.trunc(safeNum(row.scrapParts) ?? 0));
const safeCycleCount = Math.max(0, Math.trunc(safeNum(row.cycleCount) ?? 0));
const target = safeNum(row.targetQty);
const skuAgg = ensureAuthoritativeSku(row.sku, target, false);
skuAgg.good += safeGood;
skuAgg.scrap += safeScrap;
goodParts += safeGood;
scrapParts += safeScrap;
authoritativeCycleCount += safeCycleCount;
const woKey = workOrderKey(row.workOrderId);
if (!woKey) continue;
const progress = authoritativeWorkOrderProgress.get(woKey) ?? {
goodParts: 0,
scrapParts: 0,
cycleCount: 0,
firstTs: null,
lastTs: null,
};
progress.goodParts += safeGood;
progress.scrapParts += safeScrap;
progress.cycleCount += safeCycleCount;
if (!progress.firstTs || row.createdAt < progress.firstTs) progress.firstTs = row.createdAt;
if (!progress.lastTs || row.updatedAt > progress.lastTs) progress.lastTs = row.updatedAt;
authoritativeWorkOrderProgress.set(woKey, progress);
}
const fallbackBySku = [...skuMap.values()]
for (const wo of openWorkOrders) {
ensureAuthoritativeSku(normalizeToken(wo.sku) || null);
}
if (latestTelemetry?.sku) {
ensureAuthoritativeSku(latestTelemetry.sku);
}
const bySku = [...authoritativeSkuMap.values()]
.map((row) => {
const target = row.target ?? targetBySku.get(skuKey(row.sku))?.target ?? null;
const produced = row.good + row.scrap;
@@ -834,28 +690,6 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
})
.sort((a, b) => b.good - a.good);
const authoritativeBySku = [...authoritativeSkuMap.values()]
.map((row) => {
const target = row.target ?? targetBySku.get(skuKey(row.sku))?.target ?? null;
const produced = row.good + row.scrap;
const progressPct = target && target > 0 ? round2((produced / target) * 100) : null;
return {
machineName: row.machineName,
sku: row.sku,
good: row.good,
scrap: row.scrap,
target,
progressPct,
};
})
.sort((a, b) => b.good - a.good);
const bySku = hasAuthoritativeWorkOrderCounters ? authoritativeBySku : fallbackBySku;
if (hasAuthoritativeWorkOrderCounters) {
goodParts = authoritativeGoodParts;
scrapParts = authoritativeScrapParts;
}
const sortedKpis = [...dedupedKpis].sort((a, b) => a.ts.getTime() - b.ts.getTime());
const weightedAvg = (field: "oee" | "availability" | "performance" | "quality") => {
if (!sortedKpis.length) return null;
@@ -925,14 +759,13 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
.filter((wo) => String(wo.status).toUpperCase() === "COMPLETED")
.filter((wo) => wo.updatedAt >= params.start && wo.updatedAt <= params.end)
.map((wo) => {
const fallbackProgress = rangeByWorkOrder.get(workOrderKey(wo.workOrderId)) ?? {
const progress = authoritativeWorkOrderProgress.get(workOrderKey(wo.workOrderId)) ?? {
goodParts: 0,
scrapParts: 0,
cycleCount: 0,
firstTs: null,
lastTs: null,
};
const authoritativeProgress = authoritativeWorkOrderProgress.get(workOrderKey(wo.workOrderId)) ?? null;
const progress = authoritativeProgress ?? fallbackProgress;
const durationHrs =
progress.firstTs && progress.lastTs
? round2((progress.lastTs.getTime() - progress.firstTs.getTime()) / 3600000)
@@ -956,36 +789,27 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
const activeWorkOrderSku =
normalizeToken(latestTelemetry?.sku) || normalizeToken(activeWo?.sku) || null;
const activeWorkOrderKey = workOrderKey(activeWorkOrderId);
const authoritativeActiveWo =
activeWorkOrderKey && hasAuthoritativeWorkOrderCounters
? machineWorkOrderCounters.find((wo) => workOrderKey(wo.workOrderId) === activeWorkOrderKey) ?? null
: null;
const activeTargetSource =
activeWorkOrderKey
? machineWorkOrdersSorted.find((wo) => workOrderKey(wo.workOrderId) === activeWorkOrderKey) ??
activeWo ??
authoritativeActiveWo
activeWo
: activeWo;
let activeProgressPct: number | null = null;
let activeStartedAt: string | null = null;
if (activeWorkOrderId) {
const rangeProgress = activeWorkOrderKey ? rangeByWorkOrder.get(activeWorkOrderKey) : null;
const authoritativeProgress = activeWorkOrderKey
? authoritativeWorkOrderProgress.get(activeWorkOrderKey) ?? null
: null;
const cumulativeProgress = activeWorkOrderKey ? kpiLatestByWorkOrder.get(activeWorkOrderKey) : null;
const producedForProgress = authoritativeProgress
? authoritativeProgress.goodParts + authoritativeProgress.scrapParts
: cumulativeProgress
? cumulativeProgress.good + cumulativeProgress.scrap
: (rangeProgress?.goodParts ?? 0) + (rangeProgress?.scrapParts ?? 0);
: 0;
const targetQty = safeNum(activeTargetSource?.targetQty);
if (targetQty && targetQty > 0) {
activeProgressPct = round2((producedForProgress / targetQty) * 100);
}
activeStartedAt = toIso(
authoritativeProgress?.firstTs ?? rangeProgress?.firstTs ?? activeWo?.createdAt ?? latestTelemetry?.ts ?? null
authoritativeProgress?.firstTs ?? activeWo?.createdAt ?? latestTelemetry?.ts ?? null
);
}
@@ -1024,7 +848,7 @@ async function computeRecap(params: Required<Pick<RecapQuery, "orgId">> & {
production: {
goodParts,
scrapParts,
totalCycles: hasAuthoritativeWorkOrderCounters ? authoritativeCycleCount : dedupedCycles.length,
totalCycles: authoritativeCycleCount,
bySku,
},
oee: {