// Operations / logistics datasets. const SAMPLE_SHIPMENTS = `Shipment,Origin,Destination,Carrier,Mode,Status,ETA,Progress,Updated SHP-48201,Chicago IL,Dallas TX,Ridgeline Freight,Truck,In transit,2026-05-22,68,12m ago SHP-48199,Long Beach CA,Phoenix AZ,Pacific Lanes,Truck,On time,2026-05-21,84,28m ago SHP-48197,Newark NJ,Atlanta GA,Eastline Logistics,Truck,Delayed,2026-05-23,42,1h ago SHP-48195,Seattle WA,Denver CO,Cascade Cargo,Rail,In transit,2026-05-25,55,2h ago SHP-48193,Memphis TN,Miami FL,Southwind Freight,Truck,On time,2026-05-20,92,38m ago SHP-48190,Kansas City MO,Houston TX,Heartland Haul,Truck,At dock,2026-05-19,12,4h ago SHP-48188,Boston MA,Charlotte NC,Eastline Logistics,Truck,In transit,2026-05-22,71,1h ago SHP-48186,Oakland CA,Las Vegas NV,Pacific Lanes,Truck,Exception,2026-05-24,30,3h ago SHP-48183,Detroit MI,Pittsburgh PA,Great Lakes Co,Truck,Delivered,2026-05-18,100,1d ago SHP-48180,Portland OR,Salt Lake City UT,Cascade Cargo,Truck,On time,2026-05-21,76,52m ago SHP-48177,Minneapolis MN,St. Louis MO,Heartland Haul,Rail,In transit,2026-05-23,48,2h ago SHP-48175,Tampa FL,Nashville TN,Southwind Freight,Truck,Delayed,2026-05-22,38,3h ago SHP-48172,Baltimore MD,Cleveland OH,Eastline Logistics,Truck,On time,2026-05-20,88,1h ago SHP-48170,San Antonio TX,Oklahoma City OK,Ridgeline Freight,Truck,At dock,2026-05-19,8,5h ago SHP-48167,Indianapolis IN,Louisville KY,Great Lakes Co,Truck,Delivered,2026-05-17,100,2d ago SHP-48164,Reno NV,Boise ID,Pacific Lanes,Truck,In transit,2026-05-24,62,4h ago SHP-48160,Richmond VA,Raleigh NC,Eastline Logistics,Truck,On time,2026-05-21,80,1h ago SHP-48157,Albuquerque NM,El Paso TX,Ridgeline Freight,Truck,Exception,2026-05-23,25,6h ago SHP-48154,Sacramento CA,Reno NV,Cascade Cargo,Truck,On time,2026-05-20,95,18m ago SHP-48150,Buffalo NY,Cincinnati OH,Great Lakes Co,Rail,In transit,2026-05-25,52,3h ago`; const SAMPLE_FLEET = `Vehicle,Driver,Region,Type,Status,Fuel,Next service,Updated TRK-104,Maria Alvarez,Southwest,Class 8,On route,72,2026-06-04,18m ago TRK-088,Daniel Cho,Northeast,Class 8,On route,58,2026-06-12,42m ago TRK-072,Priya Nair,Midwest,Reefer,At dock,84,2026-05-30,2h ago TRK-061,Theo Park,West,Class 7,Idle,90,2026-06-18,1d ago TRK-058,Jordan Reed,South,Class 8,Maintenance,40,2026-05-21,5h ago TRK-052,Lin Chen,Pacific,Reefer,On route,66,2026-06-22,1h ago TRK-049,Hana Mori,Mountain,Class 7,On route,52,2026-06-08,2h ago TRK-044,Sasha Vidal,Northeast,Class 8,Idle,88,2026-07-02,1d ago TRK-037,Ravi Shah,Southeast,Class 8,On route,61,2026-06-30,30m ago TRK-029,Devon Cole,Central,Reefer,Maintenance,28,2026-05-25,8h ago TRK-021,Amelie Roux,Mountain,Class 7,At dock,76,2026-07-15,4h ago TRK-014,Maya Okafor,Pacific,Class 8,On route,69,2026-06-14,55m ago`; const SAMPLE_EXCEPTIONS = `Ref,Shipment,Lane,Type,Severity,Owner,Status,Opened EXC-2204,SHP-48197,NJ → GA,Customs hold,High,Eastline Ops,In progress,2h ago EXC-2202,SHP-48186,CA → NV,Driver delay,Med,Pacific Ops,Review,3h ago EXC-2199,SHP-48190,MO → TX,Dock congestion,Med,Heartland,On hold,4h ago EXC-2196,SHP-48157,NM → TX,Damaged pallet,High,Ridgeline,In progress,6h ago EXC-2191,SHP-48175,FL → TN,Weather reroute,Low,Southwind,Done,1d ago EXC-2188,SHP-48177,MN → MO,Rail interchange,Med,Heartland,In progress,12h ago EXC-2185,SHP-48170,TX → OK,Equipment fail,High,Ridgeline,Blocked,1d ago EXC-2180,SHP-48160,VA → NC,Late pickup,Low,Eastline Ops,Done,2d ago EXC-2176,SHP-48150,NY → OH,Rail delay,Med,Great Lakes,In progress,5h ago EXC-2172,SHP-48193,TN → FL,Address change,Low,Southwind,Done,2d ago`; const DATASETS = { shipments: { name: "Shipments — last 7 days", file: "shipments-2026-05.csv", csv: SAMPLE_SHIPMENTS }, fleet: { name: "Fleet status", file: "fleet-live.csv", csv: SAMPLE_FLEET }, exceptions: { name: "Open exceptions", file: "exceptions-open.csv", csv: SAMPLE_EXCEPTIONS }, }; // Bubble chart data — stalled shipments by stage (echoes D4). const STALLED = [ { stage: "Pickup", items: [ {v:54, d:18}, {v:34, d:22} ] }, { stage: "In transit", items: [ {v:64, d:42}, {v:28, d:34}, {v:152, d:48} ] }, { stage: "Customs", items: [ {v:30, d:28}, {v:34, d:36} ] }, { stage: "At dock", items: [ {v:57, d:24}, {v:64, d:46} ] }, { stage: "Out for del.", items: [ {v:52, d:30}, {v:54, d:26} ] }, ]; // Donut — SLA achieved (echoes D4 goal-achieved donut). const SLA = { onTime: 71, delayed: 29 }; // Horizontal bars — top lanes (echoes D4 upcoming renewals bars). const TOP_LANES = [ { lane: "Chicago → Dallas", on: 64, total: 100 }, { lane: "Long Beach → Phx", on: 58, total: 95 }, { lane: "Newark → Atlanta", on: 71, total: 92 }, { lane: "Seattle → Denver", on: 41, total: 80 }, { lane: "Memphis → Miami", on: 66, total: 78 }, { lane: "Oakland → Vegas", on: 32, total: 70 }, { lane: "Boston → Charlotte", on: 49, total: 64 }, { lane: "Portland → SLC", on: 38, total: 60 }, ]; // 7-day trend for sparklines const TREND_VOLUME = [142, 168, 154, 188, 176, 204, 198]; const TREND_ON_TIME = [86, 88, 84, 89, 91, 87, 92]; const TREND_TRANSIT = [3.4, 3.2, 3.3, 3.1, 3.0, 3.0, 2.9]; const TREND_EXC = [22, 18, 25, 19, 21, 17, 14]; // Tiny CSV parser function parseCSV(text){ const lines = text.replace(/\r/g,'').split('\n').filter(l => l.trim().length); if (!lines.length) return { headers: [], rows: [] }; const parseLine = (l) => { const out = []; let cur = ''; let q = false; for (let i = 0; i < l.length; i++){ const c = l[i]; if (q){ if (c === '"' && l[i+1] === '"'){ cur += '"'; i++; } else if (c === '"') q = false; else cur += c; } else { if (c === ',') { out.push(cur); cur = ''; } else if (c === '"') q = true; else cur += c; } } out.push(cur); return out; }; const headers = parseLine(lines[0]).map(h => h.trim()); const rows = lines.slice(1).map(l => { const cells = parseLine(l); const r = {}; headers.forEach((h,i) => r[h] = (cells[i] ?? '').trim()); return r; }); return { headers, rows }; } Object.assign(window, { DATASETS, parseCSV, STALLED, SLA, TOP_LANES, TREND_VOLUME, TREND_ON_TIME, TREND_TRANSIT, TREND_EXC, });