// Machine Sensor Readings (machine-sensor-readings) v1 — Prisma seed
// Synthetic sample data, CC0-1.0. Generated deterministically; re-running the
// generator with the same spec and seed reproduces this file exactly.
//
// Delegates are named after the tables (prisma.machines), which assumes models
// mapped to those table names. Rename the delegates if your models differ.
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient();

async function main() {
    await prisma.machines.createMany({
        data: [
            { id: 1, name: "Pump Plasma-Cutter Sander", operational_status: "operational", last_maintenance_date: "2022-09-25" },
            { id: 2, name: "Laser-Cutter", operational_status: "operational", last_maintenance_date: "2022-10-19" },
            { id: 3, name: "Batch-Processor Hydraulic-Press Saw", operational_status: "operational", last_maintenance_date: "2023-11-14" },
            { id: 4, name: "Grinder Chiller Cutter", operational_status: "operational", last_maintenance_date: "2020-05-13" },
            { id: 5, name: "Shaper", operational_status: "operational", last_maintenance_date: "2023-05-25" },
            { id: 6, name: "Surface-Tester", operational_status: "maintenance", last_maintenance_date: "2021-12-03" },
            { id: 7, name: "Surface-Tester Saw Data-Logger", operational_status: "maintenance", last_maintenance_date: "2022-06-14" },
            { id: 8, name: "CNC", operational_status: "maintenance", last_maintenance_date: "2023-08-05" },
            { id: 9, name: "Conveyor Separator Vacuum-Former", operational_status: "operational", last_maintenance_date: "2020-09-16" },
            { id: 10, name: "Bender Turbine", operational_status: "operational", last_maintenance_date: "2020-02-28" },
            { id: 11, name: "Calibration-Station", operational_status: "operational", last_maintenance_date: "2021-10-13" },
            { id: 12, name: "Lathe-Machine Quality-Checker", operational_status: "operational", last_maintenance_date: "2021-06-26" },
            { id: 13, name: "Generator Data-Logger", operational_status: "operational", last_maintenance_date: "2020-12-10" },
            { id: 14, name: "Surface-Tester", operational_status: "operational", last_maintenance_date: "2020-01-27" },
            { id: 15, name: "CNC", operational_status: "operational", last_maintenance_date: "2023-01-06" },
            { id: 16, name: "Surface-Tester Sander Torque-Wrench", operational_status: "operational", last_maintenance_date: "2021-09-10" },
            { id: 17, name: "Scanner Turbine", operational_status: "maintenance", last_maintenance_date: "2023-09-17" },
            { id: 18, name: "Filtration-System Sander", operational_status: "operational", last_maintenance_date: "2022-03-09" },
            { id: 19, name: "Bender", operational_status: "operational", last_maintenance_date: "2023-11-13" },
            { id: 20, name: "Sander Surface-Tester Vacuum-Former", operational_status: "operational", last_maintenance_date: "2023-09-13" },
            { id: 21, name: "Chiller Separator", operational_status: "operational", last_maintenance_date: "2020-08-29" },
            { id: 22, name: "Separator Sander", operational_status: "out of service", last_maintenance_date: "2020-02-12" },
            { id: 23, name: "3D-Printer", operational_status: "operational", last_maintenance_date: "2021-09-06" },
            { id: 24, name: "Mixing-Tank Lathe-Machine Electrolyzer", operational_status: "maintenance", last_maintenance_date: "2023-09-24" },
            { id: 25, name: "Miller Hydraulic-Press Belt-Feeder", operational_status: "operational", last_maintenance_date: "2022-10-10" },
            { id: 26, name: "Compressor Mixing-Tank Surface-Tester", operational_status: "operational", last_maintenance_date: "2023-08-09" },
            { id: 27, name: "Torque-Wrench Mixing-Tank Batch-Processor", operational_status: "out of service", last_maintenance_date: "2023-04-26" },
        ],
    });
    await prisma.sensor_readings.createMany({
        data: [
            { id: 1, machine_id: 17, timestamp: new Date("2023-10-19T11:24:18Z"), temperature: "82.53", vibration: "0.46", throughput: 0 },
            { id: 2, machine_id: 3, timestamp: new Date("2023-05-19T11:52:56Z"), temperature: "57.07", vibration: "1.45", throughput: 220 },
            { id: 3, machine_id: 14, timestamp: new Date("2023-04-21T22:24:48Z"), temperature: "68.84", vibration: "1.55", throughput: 184 },
            { id: 4, machine_id: 5, timestamp: new Date("2023-05-17T22:29:31Z"), temperature: "64.84", vibration: "8.11", throughput: 909 },
            { id: 5, machine_id: 26, timestamp: new Date("2023-02-15T18:46:33Z"), temperature: "3.74", vibration: "6.42", throughput: 397 },
            { id: 6, machine_id: 26, timestamp: new Date("2023-11-26T22:12:19Z"), temperature: "74.63", vibration: "8.48", throughput: 5 },
            { id: 7, machine_id: 3, timestamp: new Date("2023-11-02T02:48:45Z"), temperature: "39.26", vibration: "3.11", throughput: 20 },
            { id: 8, machine_id: 14, timestamp: new Date("2023-07-22T12:26:46Z"), temperature: "39.06", vibration: "0.63", throughput: 75 },
            { id: 9, machine_id: 9, timestamp: new Date("2023-03-09T00:41:12Z"), temperature: "82.44", vibration: "5.33", throughput: 2 },
            { id: 10, machine_id: 18, timestamp: new Date("2023-09-19T18:15:51Z"), temperature: "89.21", vibration: "4.85", throughput: 181 },
            { id: 11, machine_id: 4, timestamp: new Date("2023-08-29T04:11:04Z"), temperature: "73.31", vibration: "8.01", throughput: 825 },
            { id: 12, machine_id: 14, timestamp: new Date("2023-06-30T21:36:47Z"), temperature: "61.55", vibration: "5.68", throughput: 301 },
            { id: 13, machine_id: 8, timestamp: new Date("2023-10-31T17:21:55Z"), temperature: "65.52", vibration: "5.11", throughput: 479 },
            { id: 14, machine_id: 14, timestamp: new Date("2023-05-12T11:28:55Z"), temperature: "62.68", vibration: "7.56", throughput: 722 },
            { id: 15, machine_id: 14, timestamp: new Date("2023-10-28T10:03:26Z"), temperature: "84.87", vibration: "9.15", throughput: 1 },
            { id: 16, machine_id: 5, timestamp: new Date("2023-08-04T00:01:11Z"), temperature: "2.93", vibration: "4.18", throughput: 41 },
            { id: 17, machine_id: 11, timestamp: new Date("2023-07-05T23:32:21Z"), temperature: "60.43", vibration: "7.35", throughput: 150 },
            { id: 18, machine_id: 22, timestamp: new Date("2023-10-26T17:32:28Z"), temperature: "48.40", vibration: "2.23", throughput: 112 },
            { id: 19, machine_id: 1, timestamp: new Date("2023-12-16T14:45:17Z"), temperature: "78.50", vibration: "7.23", throughput: 22 },
            { id: 20, machine_id: 23, timestamp: new Date("2023-07-29T17:36:00Z"), temperature: "46.98", vibration: "2.94", throughput: 884 },
            { id: 21, machine_id: 10, timestamp: new Date("2023-03-28T08:41:30Z"), temperature: "92.07", vibration: "5.64", throughput: 46 },
            { id: 22, machine_id: 13, timestamp: new Date("2023-06-21T19:34:42Z"), temperature: "92.77", vibration: "5.36", throughput: 3 },
            { id: 23, machine_id: 6, timestamp: new Date("2023-12-18T09:05:31Z"), temperature: "88.07", vibration: "1.55", throughput: 511 },
            { id: 24, machine_id: 8, timestamp: new Date("2023-10-16T17:27:39Z"), temperature: "53.39", vibration: "8.36", throughput: 230 },
            { id: 25, machine_id: 9, timestamp: new Date("2023-09-13T22:20:55Z"), temperature: "37.34", vibration: "1.95", throughput: 267 },
            { id: 26, machine_id: 27, timestamp: new Date("2023-04-26T20:32:48Z"), temperature: "17.62", vibration: "7.84", throughput: 858 },
            { id: 27, machine_id: 17, timestamp: new Date("2023-03-12T10:46:41Z"), temperature: "85.05", vibration: "3.90", throughput: 103 },
            { id: 28, machine_id: 20, timestamp: new Date("2023-07-10T20:37:04Z"), temperature: "79.43", vibration: "7.31", throughput: 115 },
            { id: 29, machine_id: 1, timestamp: new Date("2023-04-18T17:18:54Z"), temperature: "23.27", vibration: "4.97", throughput: 6 },
            { id: 30, machine_id: 1, timestamp: new Date("2023-03-04T08:33:47Z"), temperature: "4.45", vibration: "8.15", throughput: 413 },
            { id: 31, machine_id: 10, timestamp: new Date("2023-12-10T04:17:42Z"), temperature: "4.76", vibration: "4.14", throughput: 204 },
            { id: 32, machine_id: 1, timestamp: new Date("2023-07-20T12:09:32Z"), temperature: "28.86", vibration: "3.04", throughput: 954 },
            { id: 33, machine_id: 5, timestamp: new Date("2023-10-05T05:19:23Z"), temperature: "4.60", vibration: "2.31", throughput: 419 },
            { id: 34, machine_id: 23, timestamp: new Date("2023-08-24T13:45:01Z"), temperature: "18.71", vibration: "0.68", throughput: 697 },
            { id: 35, machine_id: 12, timestamp: new Date("2023-08-05T17:58:48Z"), temperature: "29.02", vibration: "5.23", throughput: 6 },
            { id: 36, machine_id: 2, timestamp: new Date("2023-06-09T11:28:22Z"), temperature: "6.65", vibration: "6.41", throughput: 229 },
            { id: 37, machine_id: 2, timestamp: new Date("2023-01-18T14:49:09Z"), temperature: "38.82", vibration: "2.96", throughput: 872 },
            { id: 38, machine_id: 15, timestamp: new Date("2023-05-21T18:46:14Z"), temperature: "47.67", vibration: "6.37", throughput: 855 },
            { id: 39, machine_id: 20, timestamp: new Date("2023-01-22T02:30:42Z"), temperature: "31.86", vibration: "0.61", throughput: 8 },
            { id: 40, machine_id: 25, timestamp: new Date("2023-10-06T01:12:33Z"), temperature: "55.90", vibration: "7.61", throughput: 2 },
            { id: 41, machine_id: 13, timestamp: new Date("2023-08-15T03:47:52Z"), temperature: "5.47", vibration: "6.78", throughput: 27 },
            { id: 42, machine_id: 4, timestamp: new Date("2023-11-20T12:10:41Z"), temperature: "14.38", vibration: "1.93", throughput: 850 },
            { id: 43, machine_id: 17, timestamp: new Date("2023-03-05T03:32:18Z"), temperature: "97.77", vibration: "2.33", throughput: 394 },
            { id: 44, machine_id: 4, timestamp: new Date("2023-08-27T10:08:21Z"), temperature: "18.15", vibration: "2.21", throughput: 529 },
            { id: 45, machine_id: 1, timestamp: new Date("2023-09-14T06:39:02Z"), temperature: "70.99", vibration: "4.98", throughput: 8 },
            { id: 46, machine_id: 27, timestamp: new Date("2023-07-31T12:36:27Z"), temperature: "38.47", vibration: "6.41", throughput: 361 },
            { id: 47, machine_id: 18, timestamp: new Date("2023-09-02T19:54:08Z"), temperature: "39.62", vibration: "6.83", throughput: 772 },
            { id: 48, machine_id: 4, timestamp: new Date("2023-01-26T17:53:57Z"), temperature: "32.60", vibration: "8.89", throughput: 0 },
            { id: 49, machine_id: 26, timestamp: new Date("2023-03-23T13:21:34Z"), temperature: "81.41", vibration: "2.19", throughput: 224 },
            { id: 50, machine_id: 5, timestamp: new Date("2023-03-02T01:04:59Z"), temperature: "90.01", vibration: "1.73", throughput: 438 },
            { id: 51, machine_id: 5, timestamp: new Date("2023-06-06T07:59:17Z"), temperature: "28.43", vibration: "5.78", throughput: 281 },
            { id: 52, machine_id: 24, timestamp: new Date("2023-05-09T13:07:12Z"), temperature: "81.70", vibration: "4.78", throughput: 19 },
            { id: 53, machine_id: 27, timestamp: new Date("2023-05-29T09:29:18Z"), temperature: "55.91", vibration: "7.49", throughput: 363 },
            { id: 54, machine_id: 23, timestamp: new Date("2023-11-26T05:44:33Z"), temperature: "11.87", vibration: "0.38", throughput: 515 },
            { id: 55, machine_id: 25, timestamp: new Date("2023-11-15T05:33:44Z"), temperature: "5.31", vibration: "0.53", throughput: 267 },
            { id: 56, machine_id: 17, timestamp: new Date("2023-07-09T10:09:44Z"), temperature: "46.43", vibration: "4.79", throughput: 695 },
            { id: 57, machine_id: 15, timestamp: new Date("2023-05-23T04:42:33Z"), temperature: "68.23", vibration: "3.50", throughput: 951 },
            { id: 58, machine_id: 16, timestamp: new Date("2023-02-21T17:16:37Z"), temperature: "8.28", vibration: "2.31", throughput: 22 },
            { id: 59, machine_id: 6, timestamp: new Date("2023-03-18T16:59:39Z"), temperature: "9.45", vibration: "3.16", throughput: 108 },
            { id: 60, machine_id: 23, timestamp: new Date("2023-11-14T16:37:52Z"), temperature: "77.71", vibration: "0.99", throughput: 138 },
            { id: 61, machine_id: 25, timestamp: new Date("2023-12-26T23:56:12Z"), temperature: "7.98", vibration: "0.27", throughput: 294 },
            { id: 62, machine_id: 22, timestamp: new Date("2023-08-30T21:36:04Z"), temperature: "56.31", vibration: "7.25", throughput: 577 },
            { id: 63, machine_id: 14, timestamp: new Date("2023-12-27T21:41:36Z"), temperature: "24.30", vibration: "3.09", throughput: 3 },
            { id: 64, machine_id: 10, timestamp: new Date("2023-05-20T11:48:27Z"), temperature: "67.94", vibration: "7.09", throughput: 612 },
            { id: 65, machine_id: 8, timestamp: new Date("2023-06-27T19:20:37Z"), temperature: "89.34", vibration: "2.53", throughput: 985 },
            { id: 66, machine_id: 11, timestamp: new Date("2023-02-19T03:46:48Z"), temperature: "66.08", vibration: "1.67", throughput: 532 },
            { id: 67, machine_id: 18, timestamp: new Date("2023-10-04T02:48:23Z"), temperature: "44.34", vibration: "8.22", throughput: 19 },
            { id: 68, machine_id: 23, timestamp: new Date("2023-11-15T09:56:47Z"), temperature: "77.95", vibration: "9.90", throughput: 0 },
            { id: 69, machine_id: 3, timestamp: new Date("2023-10-01T14:27:56Z"), temperature: "35.52", vibration: "1.89", throughput: 236 },
            { id: 70, machine_id: 24, timestamp: new Date("2023-03-08T16:27:13Z"), temperature: "18.17", vibration: "5.60", throughput: 4 },
            { id: 71, machine_id: 2, timestamp: new Date("2023-08-20T11:56:51Z"), temperature: "16.52", vibration: "6.45", throughput: 74 },
            { id: 72, machine_id: 11, timestamp: new Date("2023-04-06T19:00:49Z"), temperature: "11.42", vibration: "9.40", throughput: 239 },
            { id: 73, machine_id: 14, timestamp: new Date("2023-10-30T02:24:47Z"), temperature: "32.73", vibration: "2.17", throughput: 37 },
            { id: 74, machine_id: 12, timestamp: new Date("2023-08-27T17:35:08Z"), temperature: "21.02", vibration: "3.25", throughput: 659 },
            { id: 75, machine_id: 6, timestamp: new Date("2023-04-19T18:17:42Z"), temperature: "42.39", vibration: "5.94", throughput: 72 },
            { id: 76, machine_id: 10, timestamp: new Date("2023-07-14T23:22:19Z"), temperature: "55.14", vibration: "0.19", throughput: 11 },
            { id: 77, machine_id: 19, timestamp: new Date("2023-07-26T18:45:08Z"), temperature: "54.66", vibration: "8.44", throughput: 379 },
            { id: 78, machine_id: 9, timestamp: new Date("2023-04-10T02:23:04Z"), temperature: "77.85", vibration: "8.64", throughput: 692 },
            { id: 79, machine_id: 9, timestamp: new Date("2023-11-16T18:11:30Z"), temperature: "14.35", vibration: "0.36", throughput: 770 },
            { id: 80, machine_id: 10, timestamp: new Date("2023-03-19T05:23:46Z"), temperature: "60.11", vibration: "0.47", throughput: 37 },
            { id: 81, machine_id: 4, timestamp: new Date("2023-12-17T20:51:55Z"), temperature: "52.86", vibration: "1.91", throughput: 125 },
            { id: 82, machine_id: 3, timestamp: new Date("2023-02-25T18:54:21Z"), temperature: "52.47", vibration: "5.56", throughput: 475 },
            { id: 83, machine_id: 12, timestamp: new Date("2023-09-26T22:29:54Z"), temperature: "9.62", vibration: "8.53", throughput: 130 },
            { id: 84, machine_id: 20, timestamp: new Date("2023-09-04T12:14:41Z"), temperature: "12.81", vibration: "6.90", throughput: 178 },
            { id: 85, machine_id: 10, timestamp: new Date("2023-12-16T02:20:14Z"), temperature: "47.28", vibration: "2.96", throughput: 598 },
            { id: 86, machine_id: 22, timestamp: new Date("2023-09-03T16:01:07Z"), temperature: "77.19", vibration: "3.13", throughput: 295 },
            { id: 87, machine_id: 3, timestamp: new Date("2023-08-01T20:05:48Z"), temperature: "64.14", vibration: "6.93", throughput: 310 },
            { id: 88, machine_id: 23, timestamp: new Date("2023-03-08T07:23:24Z"), temperature: "76.03", vibration: "6.93", throughput: 315 },
            { id: 89, machine_id: 2, timestamp: new Date("2023-09-13T22:37:26Z"), temperature: "4.65", vibration: "9.86", throughput: 61 },
            { id: 90, machine_id: 26, timestamp: new Date("2023-02-08T19:46:42Z"), temperature: "55.55", vibration: "4.97", throughput: 389 },
            { id: 91, machine_id: 13, timestamp: new Date("2023-02-23T23:06:35Z"), temperature: "68.96", vibration: "5.22", throughput: 59 },
            { id: 92, machine_id: 1, timestamp: new Date("2023-09-06T13:27:32Z"), temperature: "4.82", vibration: "3.30", throughput: 147 },
            { id: 93, machine_id: 11, timestamp: new Date("2023-12-30T03:47:07Z"), temperature: "46.40", vibration: "8.50", throughput: 583 },
            { id: 94, machine_id: 11, timestamp: new Date("2023-09-14T17:51:36Z"), temperature: "43.38", vibration: "1.96", throughput: 189 },
            { id: 95, machine_id: 23, timestamp: new Date("2023-03-01T20:06:26Z"), temperature: "30.61", vibration: "1.46", throughput: 189 },
            { id: 96, machine_id: 22, timestamp: new Date("2023-06-03T06:28:29Z"), temperature: "81.93", vibration: "2.06", throughput: 502 },
            { id: 97, machine_id: 19, timestamp: new Date("2023-12-08T18:21:53Z"), temperature: "4.77", vibration: "8.98", throughput: 558 },
            { id: 98, machine_id: 20, timestamp: new Date("2023-01-25T05:10:21Z"), temperature: "63.86", vibration: "5.48", throughput: 328 },
            { id: 99, machine_id: 19, timestamp: new Date("2023-03-10T05:51:58Z"), temperature: "69.72", vibration: "2.20", throughput: 17 },
            { id: 100, machine_id: 14, timestamp: new Date("2023-04-19T04:55:04Z"), temperature: "54.57", vibration: "1.97", throughput: 38 },
            { id: 101, machine_id: 17, timestamp: new Date("2023-12-31T19:36:28Z"), temperature: "59.19", vibration: "4.52", throughput: 228 },
            { id: 102, machine_id: 15, timestamp: new Date("2023-05-04T11:49:29Z"), temperature: "75.86", vibration: "1.41", throughput: 92 },
            { id: 103, machine_id: 22, timestamp: new Date("2023-03-12T08:11:42Z"), temperature: "29.90", vibration: "7.55", throughput: 50 },
            { id: 104, machine_id: 16, timestamp: new Date("2023-08-10T07:52:30Z"), temperature: "68.28", vibration: "9.52", throughput: 764 },
            { id: 105, machine_id: 9, timestamp: new Date("2023-12-17T03:12:40Z"), temperature: "30.43", vibration: "4.21", throughput: 222 },
            { id: 106, machine_id: 19, timestamp: new Date("2023-12-10T21:04:11Z"), temperature: "58.76", vibration: "3.46", throughput: 231 },
            { id: 107, machine_id: 11, timestamp: new Date("2023-06-13T22:36:18Z"), temperature: "47.65", vibration: "1.84", throughput: 955 },
            { id: 108, machine_id: 2, timestamp: new Date("2023-08-24T00:56:26Z"), temperature: "88.24", vibration: "5.06", throughput: 47 },
            { id: 109, machine_id: 14, timestamp: new Date("2023-12-20T13:01:03Z"), temperature: "96.58", vibration: "9.57", throughput: 1 },
            { id: 110, machine_id: 14, timestamp: new Date("2023-11-11T23:08:49Z"), temperature: "10.99", vibration: "6.32", throughput: 338 },
            { id: 111, machine_id: 24, timestamp: new Date("2023-10-06T02:09:41Z"), temperature: "87.90", vibration: "5.31", throughput: 399 },
            { id: 112, machine_id: 12, timestamp: new Date("2023-06-06T20:04:07Z"), temperature: "0.63", vibration: "1.36", throughput: 246 },
            { id: 113, machine_id: 14, timestamp: new Date("2023-10-15T02:47:54Z"), temperature: "21.87", vibration: "4.33", throughput: 631 },
            { id: 114, machine_id: 10, timestamp: new Date("2023-07-14T06:41:55Z"), temperature: "66.95", vibration: "9.94", throughput: 384 },
            { id: 115, machine_id: 15, timestamp: new Date("2023-04-23T13:43:28Z"), temperature: "89.49", vibration: "1.06", throughput: 2 },
            { id: 116, machine_id: 24, timestamp: new Date("2023-02-20T07:05:27Z"), temperature: "92.04", vibration: "1.78", throughput: 307 },
            { id: 117, machine_id: 25, timestamp: new Date("2023-06-21T17:07:57Z"), temperature: "0.34", vibration: "9.73", throughput: 892 },
            { id: 118, machine_id: 3, timestamp: new Date("2023-08-04T14:22:57Z"), temperature: "88.43", vibration: "1.01", throughput: 132 },
            { id: 119, machine_id: 25, timestamp: new Date("2023-01-12T17:40:08Z"), temperature: "6.44", vibration: "6.04", throughput: 199 },
            { id: 120, machine_id: 12, timestamp: new Date("2023-12-15T21:53:30Z"), temperature: "21.46", vibration: "2.46", throughput: 808 },
            { id: 121, machine_id: 23, timestamp: new Date("2023-07-27T20:08:40Z"), temperature: "67.44", vibration: "1.20", throughput: 174 },
            { id: 122, machine_id: 24, timestamp: new Date("2023-09-20T19:31:51Z"), temperature: "81.08", vibration: "2.57", throughput: 50 },
            { id: 123, machine_id: 11, timestamp: new Date("2023-07-04T08:36:21Z"), temperature: "48.43", vibration: "3.39", throughput: 115 },
            { id: 124, machine_id: 23, timestamp: new Date("2023-09-10T00:34:46Z"), temperature: "51.60", vibration: "2.35", throughput: 719 },
            { id: 125, machine_id: 2, timestamp: new Date("2023-10-20T14:29:44Z"), temperature: "66.17", vibration: "1.75", throughput: 461 },
            { id: 126, machine_id: 2, timestamp: new Date("2023-02-03T22:30:05Z"), temperature: "37.00", vibration: "1.99", throughput: 22 },
            { id: 127, machine_id: 7, timestamp: new Date("2023-05-04T20:01:32Z"), temperature: "44.61", vibration: "1.74", throughput: 571 },
            { id: 128, machine_id: 14, timestamp: new Date("2023-11-25T04:35:45Z"), temperature: "73.79", vibration: "9.67", throughput: 122 },
            { id: 129, machine_id: 25, timestamp: new Date("2023-07-16T07:16:02Z"), temperature: "9.67", vibration: "3.95", throughput: 109 },
            { id: 130, machine_id: 3, timestamp: new Date("2023-12-09T01:38:59Z"), temperature: "48.80", vibration: "8.92", throughput: 650 },
            { id: 131, machine_id: 15, timestamp: new Date("2023-06-18T01:47:09Z"), temperature: "77.54", vibration: "6.72", throughput: 788 },
            { id: 132, machine_id: 7, timestamp: new Date("2023-12-18T07:07:47Z"), temperature: "85.03", vibration: "4.96", throughput: 655 },
            { id: 133, machine_id: 27, timestamp: new Date("2023-04-23T21:27:26Z"), temperature: "93.95", vibration: "9.68", throughput: 144 },
            { id: 134, machine_id: 20, timestamp: new Date("2023-02-10T23:47:51Z"), temperature: "33.80", vibration: "9.06", throughput: 11 },
            { id: 135, machine_id: 9, timestamp: new Date("2023-11-26T14:59:33Z"), temperature: "76.88", vibration: "5.90", throughput: 445 },
            { id: 136, machine_id: 11, timestamp: new Date("2023-05-26T07:34:02Z"), temperature: "27.22", vibration: "5.05", throughput: 285 },
            { id: 137, machine_id: 18, timestamp: new Date("2023-12-28T14:27:12Z"), temperature: "53.59", vibration: "5.15", throughput: 781 },
            { id: 138, machine_id: 15, timestamp: new Date("2023-01-22T14:20:04Z"), temperature: "53.66", vibration: "2.49", throughput: 559 },
            { id: 139, machine_id: 22, timestamp: new Date("2023-02-25T19:04:47Z"), temperature: "98.31", vibration: "0.04", throughput: 324 },
            { id: 140, machine_id: 7, timestamp: new Date("2023-11-07T23:12:54Z"), temperature: "28.95", vibration: "2.22", throughput: 483 },
            { id: 141, machine_id: 22, timestamp: new Date("2023-09-13T22:09:12Z"), temperature: "56.01", vibration: "4.21", throughput: 195 },
            { id: 142, machine_id: 6, timestamp: new Date("2023-06-09T19:03:11Z"), temperature: "15.10", vibration: "6.52", throughput: 86 },
            { id: 143, machine_id: 10, timestamp: new Date("2023-06-05T14:47:10Z"), temperature: "14.73", vibration: "0.73", throughput: 310 },
            { id: 144, machine_id: 19, timestamp: new Date("2023-11-10T11:34:03Z"), temperature: "26.04", vibration: "4.93", throughput: 889 },
            { id: 145, machine_id: 1, timestamp: new Date("2023-04-02T15:25:59Z"), temperature: "24.36", vibration: "8.97", throughput: 200 },
            { id: 146, machine_id: 14, timestamp: new Date("2023-10-22T09:07:13Z"), temperature: "99.92", vibration: "5.50", throughput: 171 },
            { id: 147, machine_id: 5, timestamp: new Date("2023-10-16T12:17:38Z"), temperature: "71.66", vibration: "9.93", throughput: 126 },
            { id: 148, machine_id: 2, timestamp: new Date("2023-02-07T11:28:07Z"), temperature: "29.55", vibration: "5.56", throughput: 192 },
            { id: 149, machine_id: 4, timestamp: new Date("2023-07-29T22:19:09Z"), temperature: "91.23", vibration: "3.53", throughput: 472 },
            { id: 150, machine_id: 3, timestamp: new Date("2023-07-25T17:05:47Z"), temperature: "13.11", vibration: "8.92", throughput: 33 },
            { id: 151, machine_id: 22, timestamp: new Date("2023-02-13T21:10:05Z"), temperature: "84.14", vibration: "4.36", throughput: 772 },
            { id: 152, machine_id: 2, timestamp: new Date("2023-03-25T18:48:09Z"), temperature: "51.32", vibration: "1.41", throughput: 221 },
            { id: 153, machine_id: 23, timestamp: new Date("2023-11-13T01:15:31Z"), temperature: "81.84", vibration: "1.51", throughput: 464 },
            { id: 154, machine_id: 9, timestamp: new Date("2023-08-29T12:00:54Z"), temperature: "12.64", vibration: "4.50", throughput: 94 },
            { id: 155, machine_id: 7, timestamp: new Date("2023-11-11T12:06:21Z"), temperature: "37.83", vibration: "1.93", throughput: 14 },
            { id: 156, machine_id: 6, timestamp: new Date("2023-02-03T14:37:50Z"), temperature: "70.55", vibration: "1.61", throughput: 20 },
            { id: 157, machine_id: 19, timestamp: new Date("2023-09-24T02:16:42Z"), temperature: "74.87", vibration: "4.58", throughput: 920 },
            { id: 158, machine_id: 8, timestamp: new Date("2023-02-24T06:13:53Z"), temperature: "84.44", vibration: "7.37", throughput: 882 },
            { id: 159, machine_id: 6, timestamp: new Date("2023-06-20T22:42:17Z"), temperature: "77.32", vibration: "2.35", throughput: 362 },
            { id: 160, machine_id: 2, timestamp: new Date("2023-08-13T02:26:38Z"), temperature: "54.44", vibration: "7.04", throughput: 331 },
            { id: 161, machine_id: 17, timestamp: new Date("2023-02-10T00:18:13Z"), temperature: "40.90", vibration: "6.27", throughput: 262 },
            { id: 162, machine_id: 22, timestamp: new Date("2023-02-19T22:41:00Z"), temperature: "66.14", vibration: "2.12", throughput: 162 },
            { id: 163, machine_id: 21, timestamp: new Date("2023-10-05T22:23:48Z"), temperature: "91.34", vibration: "8.42", throughput: 230 },
            { id: 164, machine_id: 22, timestamp: new Date("2023-07-10T07:02:04Z"), temperature: "86.46", vibration: "2.81", throughput: 467 },
            { id: 165, machine_id: 11, timestamp: new Date("2023-04-23T01:55:12Z"), temperature: "2.97", vibration: "1.33", throughput: 152 },
            { id: 166, machine_id: 21, timestamp: new Date("2023-03-19T15:19:27Z"), temperature: "28.67", vibration: "5.69", throughput: 626 },
            { id: 167, machine_id: 8, timestamp: new Date("2023-09-26T08:17:27Z"), temperature: "48.34", vibration: "0.52", throughput: 450 },
            { id: 168, machine_id: 5, timestamp: new Date("2023-06-14T04:43:13Z"), temperature: "80.15", vibration: "2.69", throughput: 790 },
            { id: 169, machine_id: 14, timestamp: new Date("2023-06-14T11:07:16Z"), temperature: "87.96", vibration: "4.98", throughput: 844 },
            { id: 170, machine_id: 5, timestamp: new Date("2023-07-14T06:46:03Z"), temperature: "77.10", vibration: "2.91", throughput: 100 },
            { id: 171, machine_id: 19, timestamp: new Date("2023-05-23T01:44:28Z"), temperature: "63.13", vibration: "8.17", throughput: 12 },
            { id: 172, machine_id: 12, timestamp: new Date("2023-09-12T15:19:00Z"), temperature: "74.81", vibration: "9.09", throughput: 76 },
            { id: 173, machine_id: 2, timestamp: new Date("2023-12-19T04:47:14Z"), temperature: "84.40", vibration: "2.07", throughput: 698 },
            { id: 174, machine_id: 13, timestamp: new Date("2023-11-15T21:21:34Z"), temperature: "18.77", vibration: "9.86", throughput: 351 },
            { id: 175, machine_id: 19, timestamp: new Date("2023-09-06T02:16:19Z"), temperature: "56.74", vibration: "4.44", throughput: 30 },
            { id: 176, machine_id: 23, timestamp: new Date("2023-07-06T03:10:01Z"), temperature: "28.69", vibration: "2.89", throughput: 552 },
            { id: 177, machine_id: 9, timestamp: new Date("2023-06-16T00:47:31Z"), temperature: "50.03", vibration: "2.18", throughput: 178 },
            { id: 178, machine_id: 14, timestamp: new Date("2023-07-16T09:26:44Z"), temperature: "16.89", vibration: "2.38", throughput: 148 },
            { id: 179, machine_id: 27, timestamp: new Date("2023-06-23T10:56:13Z"), temperature: "71.09", vibration: "5.44", throughput: 56 },
            { id: 180, machine_id: 10, timestamp: new Date("2023-04-03T14:48:00Z"), temperature: "99.37", vibration: "0.84", throughput: 52 },
            { id: 181, machine_id: 19, timestamp: new Date("2023-09-24T06:43:55Z"), temperature: "23.51", vibration: "1.52", throughput: 35 },
            { id: 182, machine_id: 7, timestamp: new Date("2023-11-11T01:14:22Z"), temperature: "84.76", vibration: "7.57", throughput: 390 },
            { id: 183, machine_id: 15, timestamp: new Date("2023-07-13T15:11:51Z"), temperature: "28.70", vibration: "9.15", throughput: 0 },
            { id: 184, machine_id: 25, timestamp: new Date("2023-08-14T06:48:10Z"), temperature: "2.00", vibration: "3.61", throughput: 814 },
            { id: 185, machine_id: 25, timestamp: new Date("2023-07-06T10:22:07Z"), temperature: "3.69", vibration: "9.47", throughput: 199 },
            { id: 186, machine_id: 16, timestamp: new Date("2023-02-08T18:05:20Z"), temperature: "43.53", vibration: "7.62", throughput: 372 },
            { id: 187, machine_id: 22, timestamp: new Date("2023-07-29T01:16:46Z"), temperature: "40.17", vibration: "4.23", throughput: 35 },
            { id: 188, machine_id: 5, timestamp: new Date("2023-09-09T01:09:36Z"), temperature: "24.74", vibration: "4.46", throughput: 660 },
            { id: 189, machine_id: 14, timestamp: new Date("2023-02-04T18:38:44Z"), temperature: "11.73", vibration: "5.53", throughput: 895 },
            { id: 190, machine_id: 18, timestamp: new Date("2023-09-13T22:42:34Z"), temperature: "36.93", vibration: "1.11", throughput: 114 },
            { id: 191, machine_id: 22, timestamp: new Date("2023-04-02T10:36:25Z"), temperature: "79.34", vibration: "4.96", throughput: 461 },
            { id: 192, machine_id: 12, timestamp: new Date("2023-04-23T11:54:16Z"), temperature: "50.16", vibration: "8.73", throughput: 996 },
            { id: 193, machine_id: 20, timestamp: new Date("2023-06-30T11:38:12Z"), temperature: "17.13", vibration: "8.04", throughput: 55 },
            { id: 194, machine_id: 18, timestamp: new Date("2023-02-03T23:58:23Z"), temperature: "22.13", vibration: "4.78", throughput: 1 },
            { id: 195, machine_id: 10, timestamp: new Date("2023-10-26T14:58:35Z"), temperature: "15.36", vibration: "7.52", throughput: 24 },
            { id: 196, machine_id: 10, timestamp: new Date("2023-02-23T18:28:14Z"), temperature: "24.17", vibration: "4.32", throughput: 4 },
            { id: 197, machine_id: 21, timestamp: new Date("2023-05-21T19:00:12Z"), temperature: "60.10", vibration: "2.85", throughput: 726 },
            { id: 198, machine_id: 10, timestamp: new Date("2023-09-12T04:51:19Z"), temperature: "90.46", vibration: "5.83", throughput: 43 },
            { id: 199, machine_id: 27, timestamp: new Date("2023-05-31T22:36:31Z"), temperature: "53.60", vibration: "9.06", throughput: 313 },
            { id: 200, machine_id: 7, timestamp: new Date("2023-06-24T12:06:17Z"), temperature: "35.05", vibration: "4.79", throughput: 38 },
            { id: 201, machine_id: 25, timestamp: new Date("2023-06-05T09:36:55Z"), temperature: "80.28", vibration: "9.00", throughput: 198 },
            { id: 202, machine_id: 6, timestamp: new Date("2023-10-08T18:09:16Z"), temperature: "33.31", vibration: "4.67", throughput: 85 },
            { id: 203, machine_id: 10, timestamp: new Date("2023-02-02T22:45:35Z"), temperature: "12.51", vibration: "8.15", throughput: 189 },
            { id: 204, machine_id: 9, timestamp: new Date("2023-07-20T23:40:56Z"), temperature: "18.67", vibration: "3.26", throughput: 107 },
            { id: 205, machine_id: 10, timestamp: new Date("2023-10-07T22:51:47Z"), temperature: "83.34", vibration: "3.93", throughput: 580 },
            { id: 206, machine_id: 27, timestamp: new Date("2023-02-11T10:22:05Z"), temperature: "56.87", vibration: "1.53", throughput: 360 },
            { id: 207, machine_id: 17, timestamp: new Date("2023-05-09T00:29:01Z"), temperature: "21.56", vibration: "8.47", throughput: 402 },
            { id: 208, machine_id: 3, timestamp: new Date("2023-05-01T14:02:59Z"), temperature: "70.92", vibration: "1.21", throughput: 116 },
            { id: 209, machine_id: 10, timestamp: new Date("2023-07-19T09:02:34Z"), temperature: "9.34", vibration: "2.48", throughput: 287 },
            { id: 210, machine_id: 7, timestamp: new Date("2023-02-09T12:23:02Z"), temperature: "1.05", vibration: "6.05", throughput: 753 },
            { id: 211, machine_id: 11, timestamp: new Date("2023-03-07T18:03:54Z"), temperature: "75.43", vibration: "6.81", throughput: 115 },
            { id: 212, machine_id: 18, timestamp: new Date("2023-08-23T13:03:37Z"), temperature: "58.63", vibration: "7.35", throughput: 46 },
            { id: 213, machine_id: 5, timestamp: new Date("2023-05-03T04:33:35Z"), temperature: "53.84", vibration: "6.79", throughput: 5 },
            { id: 214, machine_id: 3, timestamp: new Date("2023-04-11T01:10:51Z"), temperature: "72.25", vibration: "9.66", throughput: 378 },
            { id: 215, machine_id: 25, timestamp: new Date("2023-12-22T14:13:56Z"), temperature: "36.07", vibration: "2.83", throughput: 270 },
            { id: 216, machine_id: 20, timestamp: new Date("2023-11-10T10:43:31Z"), temperature: "4.61", vibration: "0.21", throughput: 187 },
            { id: 217, machine_id: 16, timestamp: new Date("2023-10-30T03:31:54Z"), temperature: "65.42", vibration: "3.34", throughput: 2 },
            { id: 218, machine_id: 17, timestamp: new Date("2023-03-10T10:49:37Z"), temperature: "13.65", vibration: "3.12", throughput: 664 },
            { id: 219, machine_id: 17, timestamp: new Date("2023-06-30T18:10:36Z"), temperature: "21.48", vibration: "8.34", throughput: 492 },
            { id: 220, machine_id: 21, timestamp: new Date("2023-07-23T15:33:04Z"), temperature: "14.94", vibration: "3.88", throughput: 29 },
            { id: 221, machine_id: 26, timestamp: new Date("2023-06-07T07:32:36Z"), temperature: "54.44", vibration: "8.89", throughput: 416 },
            { id: 222, machine_id: 24, timestamp: new Date("2023-11-12T00:37:34Z"), temperature: "44.84", vibration: "9.32", throughput: 8 },
            { id: 223, machine_id: 17, timestamp: new Date("2023-05-01T04:59:59Z"), temperature: "59.11", vibration: "8.17", throughput: 2 },
            { id: 224, machine_id: 21, timestamp: new Date("2023-06-18T21:57:05Z"), temperature: "27.16", vibration: "1.59", throughput: 948 },
            { id: 225, machine_id: 23, timestamp: new Date("2023-07-11T15:42:18Z"), temperature: "99.86", vibration: "9.00", throughput: 761 },
            { id: 226, machine_id: 24, timestamp: new Date("2023-02-14T16:31:24Z"), temperature: "33.28", vibration: "1.90", throughput: 3 },
            { id: 227, machine_id: 14, timestamp: new Date("2023-05-09T18:40:31Z"), temperature: "12.57", vibration: "1.97", throughput: 953 },
            { id: 228, machine_id: 6, timestamp: new Date("2023-09-02T07:25:46Z"), temperature: "47.89", vibration: "4.92", throughput: 7 },
            { id: 229, machine_id: 27, timestamp: new Date("2023-08-29T20:04:13Z"), temperature: "35.83", vibration: "6.04", throughput: 54 },
            { id: 230, machine_id: 9, timestamp: new Date("2023-03-16T12:53:22Z"), temperature: "78.84", vibration: "2.94", throughput: 7 },
            { id: 231, machine_id: 13, timestamp: new Date("2023-07-03T10:55:02Z"), temperature: "76.87", vibration: "3.22", throughput: 356 },
            { id: 232, machine_id: 13, timestamp: new Date("2023-05-13T08:20:42Z"), temperature: "96.39", vibration: "3.02", throughput: 336 },
            { id: 233, machine_id: 6, timestamp: new Date("2023-08-27T08:05:28Z"), temperature: "27.55", vibration: "3.36", throughput: 93 },
            { id: 234, machine_id: 3, timestamp: new Date("2023-08-01T11:50:05Z"), temperature: "50.48", vibration: "3.53", throughput: 13 },
            { id: 235, machine_id: 24, timestamp: new Date("2023-06-04T04:22:47Z"), temperature: "62.35", vibration: "5.77", throughput: 733 },
            { id: 236, machine_id: 24, timestamp: new Date("2023-07-06T21:06:12Z"), temperature: "11.32", vibration: "3.03", throughput: 710 },
            { id: 237, machine_id: 13, timestamp: new Date("2023-03-20T21:50:59Z"), temperature: "78.82", vibration: "8.15", throughput: 199 },
            { id: 238, machine_id: 22, timestamp: new Date("2023-06-28T11:13:51Z"), temperature: "67.87", vibration: "9.48", throughput: 0 },
            { id: 239, machine_id: 19, timestamp: new Date("2023-08-31T14:49:12Z"), temperature: "38.06", vibration: "0.06", throughput: 444 },
            { id: 240, machine_id: 14, timestamp: new Date("2023-07-19T13:28:54Z"), temperature: "3.52", vibration: "6.58", throughput: 313 },
            { id: 241, machine_id: 15, timestamp: new Date("2023-09-23T02:04:59Z"), temperature: "33.71", vibration: "6.81", throughput: 216 },
            { id: 242, machine_id: 26, timestamp: new Date("2023-04-17T20:09:18Z"), temperature: "4.09", vibration: "5.75", throughput: 149 },
            { id: 243, machine_id: 16, timestamp: new Date("2023-09-24T23:55:28Z"), temperature: "95.53", vibration: "1.85", throughput: 538 },
            { id: 244, machine_id: 4, timestamp: new Date("2023-06-12T01:01:39Z"), temperature: "35.50", vibration: "0.52", throughput: 719 },
            { id: 245, machine_id: 10, timestamp: new Date("2023-12-25T16:56:56Z"), temperature: "56.84", vibration: "4.26", throughput: 14 },
            { id: 246, machine_id: 8, timestamp: new Date("2023-08-29T17:53:55Z"), temperature: "95.68", vibration: "8.87", throughput: 20 },
            { id: 247, machine_id: 6, timestamp: new Date("2023-03-17T22:33:06Z"), temperature: "53.50", vibration: "6.32", throughput: 397 },
            { id: 248, machine_id: 17, timestamp: new Date("2023-05-01T16:18:00Z"), temperature: "82.46", vibration: "6.59", throughput: 24 },
            { id: 249, machine_id: 21, timestamp: new Date("2023-10-24T20:31:20Z"), temperature: "56.48", vibration: "3.10", throughput: 23 },
            { id: 250, machine_id: 14, timestamp: new Date("2023-06-01T09:46:37Z"), temperature: "44.23", vibration: "3.93", throughput: 757 },
            { id: 251, machine_id: 20, timestamp: new Date("2023-09-21T18:33:36Z"), temperature: "38.07", vibration: "8.70", throughput: 751 },
            { id: 252, machine_id: 14, timestamp: new Date("2023-12-07T22:56:27Z"), temperature: "39.88", vibration: "3.22", throughput: 841 },
            { id: 253, machine_id: 8, timestamp: new Date("2023-01-14T04:42:40Z"), temperature: "83.80", vibration: "9.19", throughput: 26 },
            { id: 254, machine_id: 5, timestamp: new Date("2023-05-10T21:42:49Z"), temperature: "6.69", vibration: "0.45", throughput: 314 },
            { id: 255, machine_id: 5, timestamp: new Date("2023-10-30T02:53:40Z"), temperature: "69.40", vibration: "9.58", throughput: 209 },
            { id: 256, machine_id: 5, timestamp: new Date("2023-09-27T19:53:35Z"), temperature: "34.74", vibration: "9.62", throughput: 157 },
            { id: 257, machine_id: 25, timestamp: new Date("2023-12-12T23:34:51Z"), temperature: "37.31", vibration: "0.87", throughput: 284 },
            { id: 258, machine_id: 27, timestamp: new Date("2023-06-24T13:11:59Z"), temperature: "60.92", vibration: "8.78", throughput: 86 },
            { id: 259, machine_id: 22, timestamp: new Date("2023-06-09T03:28:30Z"), temperature: "0.15", vibration: "6.91", throughput: 408 },
            { id: 260, machine_id: 22, timestamp: new Date("2023-12-15T05:38:59Z"), temperature: "96.06", vibration: "2.40", throughput: 808 },
            { id: 261, machine_id: 3, timestamp: new Date("2023-08-20T11:17:57Z"), temperature: "69.76", vibration: "8.64", throughput: 194 },
            { id: 262, machine_id: 16, timestamp: new Date("2023-10-22T19:25:03Z"), temperature: "98.06", vibration: "5.35", throughput: 538 },
            { id: 263, machine_id: 5, timestamp: new Date("2023-08-17T21:59:29Z"), temperature: "6.86", vibration: "5.44", throughput: 213 },
            { id: 264, machine_id: 22, timestamp: new Date("2023-04-08T08:08:43Z"), temperature: "4.35", vibration: "4.43", throughput: 80 },
            { id: 265, machine_id: 22, timestamp: new Date("2023-03-10T00:54:43Z"), temperature: "87.72", vibration: "2.04", throughput: 880 },
            { id: 266, machine_id: 20, timestamp: new Date("2023-06-24T22:37:26Z"), temperature: "41.73", vibration: "8.71", throughput: 552 },
            { id: 267, machine_id: 25, timestamp: new Date("2023-12-30T02:48:31Z"), temperature: "8.29", vibration: "7.37", throughput: 1 },
            { id: 268, machine_id: 15, timestamp: new Date("2023-06-03T16:29:05Z"), temperature: "1.37", vibration: "5.46", throughput: 10 },
            { id: 269, machine_id: 6, timestamp: new Date("2023-05-09T18:58:52Z"), temperature: "81.83", vibration: "9.88", throughput: 530 },
            { id: 270, machine_id: 25, timestamp: new Date("2023-08-21T17:34:15Z"), temperature: "92.60", vibration: "7.52", throughput: 493 },
            { id: 271, machine_id: 9, timestamp: new Date("2023-10-14T03:55:02Z"), temperature: "47.46", vibration: "3.83", throughput: 254 },
            { id: 272, machine_id: 10, timestamp: new Date("2023-10-05T23:15:52Z"), temperature: "57.56", vibration: "4.54", throughput: 817 },
            { id: 273, machine_id: 27, timestamp: new Date("2023-07-28T03:32:18Z"), temperature: "43.20", vibration: "9.37", throughput: 187 },
            { id: 274, machine_id: 8, timestamp: new Date("2023-10-01T03:04:38Z"), temperature: "6.92", vibration: "3.26", throughput: 340 },
            { id: 275, machine_id: 10, timestamp: new Date("2023-02-11T02:58:01Z"), temperature: "13.38", vibration: "2.62", throughput: 862 },
            { id: 276, machine_id: 19, timestamp: new Date("2023-12-02T07:17:24Z"), temperature: "54.85", vibration: "9.85", throughput: 321 },
            { id: 277, machine_id: 11, timestamp: new Date("2023-05-05T16:23:01Z"), temperature: "51.55", vibration: "8.05", throughput: 853 },
            { id: 278, machine_id: 24, timestamp: new Date("2023-09-13T22:54:25Z"), temperature: "97.49", vibration: "1.68", throughput: 52 },
            { id: 279, machine_id: 6, timestamp: new Date("2023-11-19T07:07:40Z"), temperature: "14.77", vibration: "9.44", throughput: 591 },
            { id: 280, machine_id: 14, timestamp: new Date("2023-09-01T11:05:56Z"), temperature: "1.80", vibration: "4.17", throughput: 187 },
            { id: 281, machine_id: 14, timestamp: new Date("2023-03-12T13:38:26Z"), temperature: "43.40", vibration: "9.12", throughput: 89 },
            { id: 282, machine_id: 3, timestamp: new Date("2023-07-07T09:38:16Z"), temperature: "36.10", vibration: "8.00", throughput: 66 },
            { id: 283, machine_id: 7, timestamp: new Date("2023-05-14T14:52:05Z"), temperature: "55.54", vibration: "6.49", throughput: 480 },
            { id: 284, machine_id: 11, timestamp: new Date("2023-01-13T13:45:19Z"), temperature: "62.77", vibration: "3.55", throughput: 716 },
            { id: 285, machine_id: 18, timestamp: new Date("2023-10-20T14:28:33Z"), temperature: "50.48", vibration: "1.76", throughput: 663 },
            { id: 286, machine_id: 7, timestamp: new Date("2023-09-09T14:31:53Z"), temperature: "26.52", vibration: "0.31", throughput: 36 },
            { id: 287, machine_id: 7, timestamp: new Date("2023-07-31T09:22:43Z"), temperature: "29.28", vibration: "1.35", throughput: 667 },
            { id: 288, machine_id: 14, timestamp: new Date("2023-04-07T14:25:46Z"), temperature: "21.51", vibration: "8.73", throughput: 13 },
            { id: 289, machine_id: 26, timestamp: new Date("2023-11-18T15:31:54Z"), temperature: "78.66", vibration: "1.44", throughput: 409 },
            { id: 290, machine_id: 2, timestamp: new Date("2023-03-22T04:45:53Z"), temperature: "81.03", vibration: "4.66", throughput: 85 },
            { id: 291, machine_id: 27, timestamp: new Date("2023-08-15T22:25:29Z"), temperature: "3.73", vibration: "3.34", throughput: 1 },
            { id: 292, machine_id: 9, timestamp: new Date("2023-11-14T23:38:21Z"), temperature: "71.90", vibration: "7.13", throughput: 658 },
            { id: 293, machine_id: 23, timestamp: new Date("2023-07-18T23:51:24Z"), temperature: "91.45", vibration: "6.04", throughput: 104 },
            { id: 294, machine_id: 9, timestamp: new Date("2023-05-13T06:16:13Z"), temperature: "86.68", vibration: "4.78", throughput: 682 },
            { id: 295, machine_id: 15, timestamp: new Date("2023-07-11T21:26:27Z"), temperature: "25.03", vibration: "9.09", throughput: 2 },
            { id: 296, machine_id: 11, timestamp: new Date("2023-10-31T11:58:41Z"), temperature: "13.99", vibration: "4.84", throughput: 1 },
            { id: 297, machine_id: 7, timestamp: new Date("2023-04-24T22:01:25Z"), temperature: "82.67", vibration: "2.89", throughput: 70 },
            { id: 298, machine_id: 22, timestamp: new Date("2023-09-23T06:59:00Z"), temperature: "19.31", vibration: "8.70", throughput: 1 },
            { id: 299, machine_id: 24, timestamp: new Date("2023-06-30T02:51:04Z"), temperature: "81.50", vibration: "3.48", throughput: 533 },
            { id: 300, machine_id: 3, timestamp: new Date("2023-08-13T23:45:17Z"), temperature: "63.74", vibration: "2.09", throughput: 79 },
            { id: 301, machine_id: 4, timestamp: new Date("2023-03-02T05:03:53Z"), temperature: "50.96", vibration: "5.29", throughput: 26 },
            { id: 302, machine_id: 25, timestamp: new Date("2023-07-08T14:15:52Z"), temperature: "71.45", vibration: "3.28", throughput: 209 },
            { id: 303, machine_id: 10, timestamp: new Date("2023-10-08T14:23:36Z"), temperature: "76.12", vibration: "8.40", throughput: 105 },
            { id: 304, machine_id: 14, timestamp: new Date("2023-08-13T15:35:14Z"), temperature: "19.91", vibration: "9.92", throughput: 2 },
            { id: 305, machine_id: 21, timestamp: new Date("2023-12-05T22:57:19Z"), temperature: "96.79", vibration: "3.93", throughput: 271 },
            { id: 306, machine_id: 12, timestamp: new Date("2023-06-30T21:43:17Z"), temperature: "93.42", vibration: "4.37", throughput: 350 },
            { id: 307, machine_id: 24, timestamp: new Date("2023-05-25T02:36:14Z"), temperature: "24.86", vibration: "5.13", throughput: 6 },
            { id: 308, machine_id: 16, timestamp: new Date("2023-01-02T10:02:28Z"), temperature: "86.50", vibration: "1.19", throughput: 30 },
            { id: 309, machine_id: 4, timestamp: new Date("2023-12-25T09:00:13Z"), temperature: "10.75", vibration: "0.11", throughput: 967 },
            { id: 310, machine_id: 23, timestamp: new Date("2023-10-24T19:49:30Z"), temperature: "43.24", vibration: "8.77", throughput: 1 },
            { id: 311, machine_id: 7, timestamp: new Date("2023-11-25T09:05:02Z"), temperature: "47.17", vibration: "9.94", throughput: 871 },
            { id: 312, machine_id: 22, timestamp: new Date("2023-09-18T02:39:24Z"), temperature: "57.91", vibration: "5.86", throughput: 12 },
            { id: 313, machine_id: 10, timestamp: new Date("2023-12-19T08:32:07Z"), temperature: "99.73", vibration: "0.50", throughput: 68 },
            { id: 314, machine_id: 5, timestamp: new Date("2023-09-21T22:06:08Z"), temperature: "8.22", vibration: "6.69", throughput: 782 },
            { id: 315, machine_id: 15, timestamp: new Date("2023-11-15T03:16:06Z"), temperature: "22.13", vibration: "1.84", throughput: 708 },
            { id: 316, machine_id: 1, timestamp: new Date("2023-09-28T09:37:57Z"), temperature: "72.36", vibration: "6.71", throughput: 620 },
            { id: 317, machine_id: 8, timestamp: new Date("2023-12-18T10:33:38Z"), temperature: "56.64", vibration: "8.35", throughput: 67 },
            { id: 318, machine_id: 25, timestamp: new Date("2023-10-27T10:52:35Z"), temperature: "64.97", vibration: "2.70", throughput: 24 },
            { id: 319, machine_id: 10, timestamp: new Date("2023-11-12T20:11:30Z"), temperature: "69.87", vibration: "6.35", throughput: 443 },
            { id: 320, machine_id: 23, timestamp: new Date("2023-09-17T14:20:34Z"), temperature: "71.40", vibration: "8.41", throughput: 994 },
            { id: 321, machine_id: 24, timestamp: new Date("2023-12-01T19:12:50Z"), temperature: "29.50", vibration: "6.96", throughput: 397 },
            { id: 322, machine_id: 5, timestamp: new Date("2023-04-07T12:51:10Z"), temperature: "80.14", vibration: "1.66", throughput: 399 },
            { id: 323, machine_id: 9, timestamp: new Date("2023-06-05T16:26:33Z"), temperature: "33.05", vibration: "9.20", throughput: 784 },
            { id: 324, machine_id: 18, timestamp: new Date("2023-10-16T16:01:09Z"), temperature: "4.50", vibration: "4.18", throughput: 177 },
            { id: 325, machine_id: 15, timestamp: new Date("2023-05-13T10:32:23Z"), temperature: "82.55", vibration: "7.60", throughput: 598 },
            { id: 326, machine_id: 5, timestamp: new Date("2023-12-01T09:04:13Z"), temperature: "45.84", vibration: "9.55", throughput: 548 },
            { id: 327, machine_id: 4, timestamp: new Date("2023-09-25T07:42:08Z"), temperature: "86.02", vibration: "0.18", throughput: 36 },
            { id: 328, machine_id: 19, timestamp: new Date("2023-10-28T18:44:18Z"), temperature: "2.88", vibration: "7.11", throughput: 731 },
            { id: 329, machine_id: 2, timestamp: new Date("2023-05-29T10:23:42Z"), temperature: "19.88", vibration: "2.42", throughput: 855 },
            { id: 330, machine_id: 22, timestamp: new Date("2023-10-06T18:59:07Z"), temperature: "36.35", vibration: "8.31", throughput: 38 },
            { id: 331, machine_id: 8, timestamp: new Date("2023-06-09T06:47:50Z"), temperature: "0.58", vibration: "4.09", throughput: 239 },
            { id: 332, machine_id: 13, timestamp: new Date("2023-04-01T00:14:17Z"), temperature: "61.74", vibration: "3.70", throughput: 14 },
            { id: 333, machine_id: 24, timestamp: new Date("2023-10-26T23:48:47Z"), temperature: "37.20", vibration: "6.34", throughput: 0 },
            { id: 334, machine_id: 16, timestamp: new Date("2023-04-04T12:43:45Z"), temperature: "97.55", vibration: "6.84", throughput: 0 },
            { id: 335, machine_id: 25, timestamp: new Date("2023-07-16T13:23:31Z"), temperature: "87.52", vibration: "6.30", throughput: 212 },
            { id: 336, machine_id: 4, timestamp: new Date("2023-07-28T10:25:58Z"), temperature: "80.64", vibration: "0.07", throughput: 1 },
            { id: 337, machine_id: 22, timestamp: new Date("2023-04-21T19:28:00Z"), temperature: "78.80", vibration: "7.47", throughput: 617 },
            { id: 338, machine_id: 19, timestamp: new Date("2023-07-27T07:29:59Z"), temperature: "34.64", vibration: "7.84", throughput: 12 },
            { id: 339, machine_id: 11, timestamp: new Date("2023-11-07T01:32:26Z"), temperature: "55.06", vibration: "0.74", throughput: 897 },
            { id: 340, machine_id: 3, timestamp: new Date("2023-11-03T16:10:04Z"), temperature: "8.76", vibration: "6.21", throughput: 373 },
            { id: 341, machine_id: 11, timestamp: new Date("2023-12-31T12:57:30Z"), temperature: "9.26", vibration: "6.05", throughput: 208 },
            { id: 342, machine_id: 9, timestamp: new Date("2023-01-23T08:46:37Z"), temperature: "8.16", vibration: "3.41", throughput: 17 },
            { id: 343, machine_id: 24, timestamp: new Date("2023-03-31T00:25:28Z"), temperature: "53.90", vibration: "4.69", throughput: 112 },
            { id: 344, machine_id: 16, timestamp: new Date("2023-08-30T13:26:17Z"), temperature: "64.20", vibration: "4.34", throughput: 958 },
            { id: 345, machine_id: 18, timestamp: new Date("2023-11-13T00:28:45Z"), temperature: "89.53", vibration: "1.29", throughput: 26 },
            { id: 346, machine_id: 2, timestamp: new Date("2023-04-18T16:05:26Z"), temperature: "21.57", vibration: "6.65", throughput: 446 },
            { id: 347, machine_id: 1, timestamp: new Date("2023-05-16T05:52:56Z"), temperature: "12.07", vibration: "6.35", throughput: 131 },
            { id: 348, machine_id: 13, timestamp: new Date("2023-04-03T09:47:55Z"), temperature: "81.41", vibration: "7.13", throughput: 207 },
            { id: 349, machine_id: 14, timestamp: new Date("2023-06-25T03:17:46Z"), temperature: "59.88", vibration: "2.62", throughput: 456 },
            { id: 350, machine_id: 3, timestamp: new Date("2023-01-26T22:59:48Z"), temperature: "19.47", vibration: "4.49", throughput: 743 },
            { id: 351, machine_id: 5, timestamp: new Date("2023-07-21T17:08:26Z"), temperature: "65.59", vibration: "4.67", throughput: 187 },
            { id: 352, machine_id: 7, timestamp: new Date("2023-08-16T17:16:23Z"), temperature: "48.36", vibration: "2.29", throughput: 656 },
            { id: 353, machine_id: 7, timestamp: new Date("2023-08-09T00:54:12Z"), temperature: "21.83", vibration: "1.66", throughput: 47 },
            { id: 354, machine_id: 22, timestamp: new Date("2023-07-22T21:32:40Z"), temperature: "90.37", vibration: "4.73", throughput: 392 },
            { id: 355, machine_id: 12, timestamp: new Date("2023-05-05T02:33:51Z"), temperature: "99.48", vibration: "2.55", throughput: 86 },
            { id: 356, machine_id: 14, timestamp: new Date("2023-07-08T19:47:25Z"), temperature: "47.75", vibration: "0.78", throughput: 298 },
            { id: 357, machine_id: 4, timestamp: new Date("2023-06-05T00:35:57Z"), temperature: "8.86", vibration: "3.22", throughput: 481 },
            { id: 358, machine_id: 6, timestamp: new Date("2023-05-08T17:57:32Z"), temperature: "81.96", vibration: "5.22", throughput: 196 },
            { id: 359, machine_id: 10, timestamp: new Date("2023-06-20T13:33:59Z"), temperature: "7.96", vibration: "6.30", throughput: 404 },
            { id: 360, machine_id: 21, timestamp: new Date("2023-11-13T20:24:56Z"), temperature: "28.06", vibration: "8.53", throughput: 568 },
            { id: 361, machine_id: 22, timestamp: new Date("2023-04-20T09:40:52Z"), temperature: "37.20", vibration: "2.52", throughput: 728 },
            { id: 362, machine_id: 10, timestamp: new Date("2023-08-13T06:17:35Z"), temperature: "35.01", vibration: "0.15", throughput: 527 },
            { id: 363, machine_id: 3, timestamp: new Date("2023-03-25T11:44:01Z"), temperature: "94.51", vibration: "7.89", throughput: 55 },
            { id: 364, machine_id: 7, timestamp: new Date("2023-04-23T02:54:39Z"), temperature: "47.15", vibration: "1.57", throughput: 493 },
            { id: 365, machine_id: 21, timestamp: new Date("2023-04-04T15:46:17Z"), temperature: "10.66", vibration: "8.07", throughput: 403 },
            { id: 366, machine_id: 9, timestamp: new Date("2023-09-10T22:00:45Z"), temperature: "66.21", vibration: "4.69", throughput: 382 },
            { id: 367, machine_id: 3, timestamp: new Date("2023-01-31T10:41:30Z"), temperature: "48.57", vibration: "1.36", throughput: 710 },
            { id: 368, machine_id: 19, timestamp: new Date("2023-02-21T09:09:55Z"), temperature: "26.90", vibration: "8.44", throughput: 3 },
            { id: 369, machine_id: 11, timestamp: new Date("2023-03-05T00:20:14Z"), temperature: "63.38", vibration: "7.87", throughput: 35 },
            { id: 370, machine_id: 14, timestamp: new Date("2023-02-01T06:12:35Z"), temperature: "30.93", vibration: "4.08", throughput: 467 },
            { id: 371, machine_id: 15, timestamp: new Date("2023-12-24T13:15:23Z"), temperature: "93.61", vibration: "5.91", throughput: 52 },
            { id: 372, machine_id: 21, timestamp: new Date("2023-11-11T10:51:00Z"), temperature: "70.71", vibration: "7.42", throughput: 86 },
            { id: 373, machine_id: 26, timestamp: new Date("2023-11-15T17:41:10Z"), temperature: "98.11", vibration: "8.33", throughput: 570 },
            { id: 374, machine_id: 20, timestamp: new Date("2023-05-21T13:39:22Z"), temperature: "30.07", vibration: "1.52", throughput: 669 },
            { id: 375, machine_id: 18, timestamp: new Date("2023-04-04T14:39:37Z"), temperature: "6.44", vibration: "1.32", throughput: 191 },
            { id: 376, machine_id: 21, timestamp: new Date("2023-01-06T10:49:01Z"), temperature: "33.63", vibration: "9.15", throughput: 399 },
            { id: 377, machine_id: 26, timestamp: new Date("2023-01-18T15:11:23Z"), temperature: "12.59", vibration: "2.56", throughput: 710 },
            { id: 378, machine_id: 9, timestamp: new Date("2023-05-29T14:47:14Z"), temperature: "50.64", vibration: "1.44", throughput: 17 },
            { id: 379, machine_id: 10, timestamp: new Date("2023-07-08T23:25:26Z"), temperature: "3.02", vibration: "0.23", throughput: 375 },
            { id: 380, machine_id: 14, timestamp: new Date("2023-03-17T04:45:43Z"), temperature: "83.45", vibration: "7.14", throughput: 213 },
            { id: 381, machine_id: 7, timestamp: new Date("2023-05-19T21:19:05Z"), temperature: "46.69", vibration: "6.74", throughput: 63 },
            { id: 382, machine_id: 20, timestamp: new Date("2023-10-18T05:23:46Z"), temperature: "12.48", vibration: "9.83", throughput: 515 },
            { id: 383, machine_id: 24, timestamp: new Date("2023-02-07T20:09:52Z"), temperature: "67.88", vibration: "1.60", throughput: 193 },
            { id: 384, machine_id: 6, timestamp: new Date("2023-08-13T01:18:27Z"), temperature: "0.60", vibration: "1.31", throughput: 333 },
            { id: 385, machine_id: 25, timestamp: new Date("2023-12-30T05:14:48Z"), temperature: "50.83", vibration: "2.25", throughput: 131 },
            { id: 386, machine_id: 11, timestamp: new Date("2023-02-22T08:29:58Z"), temperature: "91.80", vibration: "1.79", throughput: 0 },
            { id: 387, machine_id: 11, timestamp: new Date("2023-09-13T09:48:24Z"), temperature: "14.14", vibration: "4.43", throughput: 225 },
            { id: 388, machine_id: 11, timestamp: new Date("2023-05-30T11:03:40Z"), temperature: "38.06", vibration: "6.72", throughput: 80 },
            { id: 389, machine_id: 13, timestamp: new Date("2023-01-26T04:19:55Z"), temperature: "63.78", vibration: "1.22", throughput: 579 },
            { id: 390, machine_id: 9, timestamp: new Date("2023-12-02T08:43:01Z"), temperature: "70.29", vibration: "4.54", throughput: 553 },
            { id: 391, machine_id: 12, timestamp: new Date("2023-10-05T14:37:45Z"), temperature: "6.52", vibration: "1.10", throughput: 765 },
            { id: 392, machine_id: 6, timestamp: new Date("2023-05-16T03:50:55Z"), temperature: "43.59", vibration: "3.21", throughput: 0 },
            { id: 393, machine_id: 9, timestamp: new Date("2023-09-19T22:47:57Z"), temperature: "64.42", vibration: "2.29", throughput: 6 },
            { id: 394, machine_id: 13, timestamp: new Date("2023-05-06T06:21:08Z"), temperature: "19.06", vibration: "2.46", throughput: 920 },
            { id: 395, machine_id: 20, timestamp: new Date("2023-01-08T11:11:08Z"), temperature: "13.57", vibration: "6.85", throughput: 691 },
            { id: 396, machine_id: 14, timestamp: new Date("2023-05-02T14:21:08Z"), temperature: "17.05", vibration: "5.84", throughput: 762 },
            { id: 397, machine_id: 26, timestamp: new Date("2023-02-07T18:57:05Z"), temperature: "91.13", vibration: "1.78", throughput: 713 },
            { id: 398, machine_id: 1, timestamp: new Date("2023-05-19T16:43:34Z"), temperature: "99.03", vibration: "0.62", throughput: 413 },
            { id: 399, machine_id: 19, timestamp: new Date("2023-02-24T01:44:48Z"), temperature: "13.23", vibration: "7.34", throughput: 230 },
            { id: 400, machine_id: 3, timestamp: new Date("2023-10-03T08:16:06Z"), temperature: "99.66", vibration: "1.99", throughput: 119 },
            { id: 401, machine_id: 6, timestamp: new Date("2023-02-04T17:34:50Z"), temperature: "1.12", vibration: "6.09", throughput: 167 },
            { id: 402, machine_id: 21, timestamp: new Date("2023-01-08T06:55:58Z"), temperature: "21.89", vibration: "9.92", throughput: 0 },
            { id: 403, machine_id: 18, timestamp: new Date("2023-03-02T06:34:39Z"), temperature: "91.46", vibration: "9.72", throughput: 85 },
            { id: 404, machine_id: 14, timestamp: new Date("2023-07-21T22:58:11Z"), temperature: "63.44", vibration: "1.76", throughput: 755 },
            { id: 405, machine_id: 6, timestamp: new Date("2023-06-11T14:30:13Z"), temperature: "86.45", vibration: "8.41", throughput: 144 },
            { id: 406, machine_id: 9, timestamp: new Date("2023-05-22T13:58:25Z"), temperature: "88.42", vibration: "6.57", throughput: 246 },
            { id: 407, machine_id: 6, timestamp: new Date("2023-02-10T07:16:11Z"), temperature: "21.02", vibration: "6.67", throughput: 959 },
            { id: 408, machine_id: 24, timestamp: new Date("2023-01-16T12:08:51Z"), temperature: "21.48", vibration: "0.73", throughput: 79 },
            { id: 409, machine_id: 19, timestamp: new Date("2023-01-30T18:55:01Z"), temperature: "5.87", vibration: "9.06", throughput: 869 },
            { id: 410, machine_id: 2, timestamp: new Date("2023-12-25T22:59:12Z"), temperature: "48.90", vibration: "7.06", throughput: 27 },
            { id: 411, machine_id: 5, timestamp: new Date("2023-01-15T05:53:51Z"), temperature: "57.16", vibration: "7.89", throughput: 167 },
            { id: 412, machine_id: 22, timestamp: new Date("2023-02-26T17:22:35Z"), temperature: "14.00", vibration: "7.39", throughput: 174 },
            { id: 413, machine_id: 6, timestamp: new Date("2023-06-18T05:22:11Z"), temperature: "55.23", vibration: "6.88", throughput: 951 },
            { id: 414, machine_id: 2, timestamp: new Date("2023-09-18T14:21:19Z"), temperature: "75.40", vibration: "1.28", throughput: 151 },
            { id: 415, machine_id: 11, timestamp: new Date("2023-09-17T01:29:34Z"), temperature: "31.26", vibration: "6.34", throughput: 133 },
            { id: 416, machine_id: 3, timestamp: new Date("2023-10-13T15:15:26Z"), temperature: "84.34", vibration: "5.39", throughput: 222 },
            { id: 417, machine_id: 24, timestamp: new Date("2023-10-27T19:42:39Z"), temperature: "21.67", vibration: "4.41", throughput: 237 },
            { id: 418, machine_id: 12, timestamp: new Date("2023-10-26T02:48:38Z"), temperature: "87.17", vibration: "9.92", throughput: 106 },
            { id: 419, machine_id: 15, timestamp: new Date("2023-04-08T22:39:23Z"), temperature: "36.61", vibration: "2.00", throughput: 354 },
            { id: 420, machine_id: 5, timestamp: new Date("2023-06-17T04:55:00Z"), temperature: "30.03", vibration: "8.08", throughput: 543 },
            { id: 421, machine_id: 25, timestamp: new Date("2023-04-27T22:20:22Z"), temperature: "62.12", vibration: "4.87", throughput: 616 },
            { id: 422, machine_id: 3, timestamp: new Date("2023-09-07T04:35:30Z"), temperature: "55.72", vibration: "4.66", throughput: 490 },
            { id: 423, machine_id: 1, timestamp: new Date("2023-11-11T02:09:05Z"), temperature: "87.13", vibration: "9.26", throughput: 620 },
            { id: 424, machine_id: 7, timestamp: new Date("2023-12-19T20:25:41Z"), temperature: "38.04", vibration: "5.21", throughput: 241 },
            { id: 425, machine_id: 6, timestamp: new Date("2023-03-27T16:59:18Z"), temperature: "93.80", vibration: "4.95", throughput: 152 },
            { id: 426, machine_id: 1, timestamp: new Date("2023-12-10T08:38:39Z"), temperature: "35.41", vibration: "4.00", throughput: 862 },
            { id: 427, machine_id: 23, timestamp: new Date("2023-01-20T11:48:25Z"), temperature: "9.01", vibration: "0.74", throughput: 287 },
            { id: 428, machine_id: 20, timestamp: new Date("2023-11-10T05:25:16Z"), temperature: "25.84", vibration: "8.66", throughput: 197 },
            { id: 429, machine_id: 22, timestamp: new Date("2023-09-15T04:52:14Z"), temperature: "21.93", vibration: "5.27", throughput: 8 },
            { id: 430, machine_id: 12, timestamp: new Date("2023-12-31T10:59:06Z"), temperature: "9.44", vibration: "3.31", throughput: 287 },
            { id: 431, machine_id: 11, timestamp: new Date("2023-09-05T10:43:13Z"), temperature: "49.45", vibration: "2.69", throughput: 187 },
            { id: 432, machine_id: 3, timestamp: new Date("2023-04-15T06:22:38Z"), temperature: "37.90", vibration: "4.88", throughput: 287 },
            { id: 433, machine_id: 14, timestamp: new Date("2023-05-17T04:19:32Z"), temperature: "30.38", vibration: "2.65", throughput: 200 },
            { id: 434, machine_id: 14, timestamp: new Date("2023-01-16T01:58:28Z"), temperature: "16.21", vibration: "3.76", throughput: 29 },
            { id: 435, machine_id: 5, timestamp: new Date("2023-07-24T00:16:15Z"), temperature: "23.63", vibration: "2.85", throughput: 932 },
            { id: 436, machine_id: 21, timestamp: new Date("2023-11-30T13:35:55Z"), temperature: "70.57", vibration: "3.00", throughput: 56 },
            { id: 437, machine_id: 26, timestamp: new Date("2023-12-03T13:45:52Z"), temperature: "55.25", vibration: "2.83", throughput: 744 },
            { id: 438, machine_id: 9, timestamp: new Date("2023-03-29T11:14:15Z"), temperature: "42.12", vibration: "5.51", throughput: 860 },
            { id: 439, machine_id: 17, timestamp: new Date("2023-02-26T04:43:50Z"), temperature: "0.52", vibration: "5.70", throughput: 72 },
            { id: 440, machine_id: 20, timestamp: new Date("2023-08-18T08:46:30Z"), temperature: "65.93", vibration: "6.43", throughput: 193 },
            { id: 441, machine_id: 11, timestamp: new Date("2023-04-09T13:39:08Z"), temperature: "81.35", vibration: "7.52", throughput: 148 },
            { id: 442, machine_id: 2, timestamp: new Date("2023-01-17T22:12:24Z"), temperature: "16.40", vibration: "2.52", throughput: 543 },
            { id: 443, machine_id: 4, timestamp: new Date("2023-01-04T15:13:32Z"), temperature: "62.92", vibration: "2.32", throughput: 113 },
            { id: 444, machine_id: 22, timestamp: new Date("2023-05-27T02:17:37Z"), temperature: "61.59", vibration: "0.77", throughput: 407 },
            { id: 445, machine_id: 11, timestamp: new Date("2023-12-06T21:45:53Z"), temperature: "18.63", vibration: "2.40", throughput: 867 },
            { id: 446, machine_id: 3, timestamp: new Date("2023-04-22T07:15:37Z"), temperature: "13.22", vibration: "3.58", throughput: 17 },
            { id: 447, machine_id: 26, timestamp: new Date("2023-07-01T12:21:39Z"), temperature: "97.19", vibration: "2.16", throughput: 876 },
            { id: 448, machine_id: 21, timestamp: new Date("2023-05-09T06:44:23Z"), temperature: "87.82", vibration: "9.59", throughput: 575 },
            { id: 449, machine_id: 4, timestamp: new Date("2023-05-26T04:56:42Z"), temperature: "68.45", vibration: "8.32", throughput: 124 },
            { id: 450, machine_id: 21, timestamp: new Date("2023-01-06T04:40:24Z"), temperature: "41.16", vibration: "0.87", throughput: 830 },
            { id: 451, machine_id: 1, timestamp: new Date("2023-02-03T20:35:32Z"), temperature: "80.24", vibration: "2.83", throughput: 896 },
            { id: 452, machine_id: 17, timestamp: new Date("2023-05-02T16:51:26Z"), temperature: "97.52", vibration: "7.28", throughput: 676 },
            { id: 453, machine_id: 19, timestamp: new Date("2023-08-15T07:56:57Z"), temperature: "18.68", vibration: "5.24", throughput: 236 },
            { id: 454, machine_id: 19, timestamp: new Date("2023-11-27T01:15:56Z"), temperature: "71.94", vibration: "3.79", throughput: 646 },
            { id: 455, machine_id: 13, timestamp: new Date("2023-09-09T18:57:02Z"), temperature: "26.49", vibration: "2.34", throughput: 4 },
            { id: 456, machine_id: 20, timestamp: new Date("2023-11-14T18:44:32Z"), temperature: "36.14", vibration: "7.79", throughput: 663 },
            { id: 457, machine_id: 2, timestamp: new Date("2023-09-03T09:48:30Z"), temperature: "85.84", vibration: "4.70", throughput: 643 },
            { id: 458, machine_id: 23, timestamp: new Date("2023-04-13T08:42:18Z"), temperature: "68.95", vibration: "7.23", throughput: 1 },
            { id: 459, machine_id: 21, timestamp: new Date("2023-10-16T10:29:58Z"), temperature: "68.18", vibration: "4.62", throughput: 381 },
            { id: 460, machine_id: 1, timestamp: new Date("2023-05-28T07:20:44Z"), temperature: "88.84", vibration: "2.02", throughput: 541 },
            { id: 461, machine_id: 1, timestamp: new Date("2023-10-19T09:29:12Z"), temperature: "32.88", vibration: "1.12", throughput: 127 },
            { id: 462, machine_id: 6, timestamp: new Date("2023-06-17T00:26:34Z"), temperature: "14.27", vibration: "5.56", throughput: 84 },
            { id: 463, machine_id: 12, timestamp: new Date("2023-09-11T18:02:52Z"), temperature: "68.48", vibration: "0.88", throughput: 26 },
            { id: 464, machine_id: 2, timestamp: new Date("2023-03-22T02:49:08Z"), temperature: "5.43", vibration: "9.43", throughput: 762 },
            { id: 465, machine_id: 11, timestamp: new Date("2023-05-25T09:42:03Z"), temperature: "98.78", vibration: "9.37", throughput: 602 },
            { id: 466, machine_id: 14, timestamp: new Date("2023-04-29T10:21:38Z"), temperature: "33.51", vibration: "7.16", throughput: 727 },
            { id: 467, machine_id: 22, timestamp: new Date("2023-02-16T19:48:33Z"), temperature: "73.53", vibration: "6.02", throughput: 70 },
            { id: 468, machine_id: 24, timestamp: new Date("2023-05-21T08:53:20Z"), temperature: "53.93", vibration: "7.67", throughput: 762 },
            { id: 469, machine_id: 18, timestamp: new Date("2023-01-10T18:40:39Z"), temperature: "37.35", vibration: "9.48", throughput: 113 },
            { id: 470, machine_id: 5, timestamp: new Date("2023-04-21T13:03:30Z"), temperature: "42.75", vibration: "2.53", throughput: 419 },
            { id: 471, machine_id: 26, timestamp: new Date("2023-12-04T21:35:26Z"), temperature: "99.68", vibration: "5.11", throughput: 459 },
            { id: 472, machine_id: 8, timestamp: new Date("2023-11-20T07:07:18Z"), temperature: "0.74", vibration: "4.71", throughput: 84 },
            { id: 473, machine_id: 6, timestamp: new Date("2023-12-25T07:16:27Z"), temperature: "66.48", vibration: "4.34", throughput: 359 },
            { id: 474, machine_id: 16, timestamp: new Date("2023-12-14T09:15:47Z"), temperature: "5.95", vibration: "9.30", throughput: 952 },
            { id: 475, machine_id: 13, timestamp: new Date("2023-06-23T18:26:12Z"), temperature: "51.00", vibration: "1.47", throughput: 134 },
            { id: 476, machine_id: 8, timestamp: new Date("2023-02-18T23:57:29Z"), temperature: "30.46", vibration: "2.02", throughput: 421 },
            { id: 477, machine_id: 26, timestamp: new Date("2023-06-23T06:58:06Z"), temperature: "25.15", vibration: "9.06", throughput: 670 },
            { id: 478, machine_id: 15, timestamp: new Date("2023-06-21T05:38:47Z"), temperature: "0.08", vibration: "2.65", throughput: 256 },
            { id: 479, machine_id: 10, timestamp: new Date("2023-01-31T15:10:33Z"), temperature: "30.91", vibration: "7.87", throughput: 298 },
            { id: 480, machine_id: 14, timestamp: new Date("2023-07-08T11:40:02Z"), temperature: "33.61", vibration: "5.97", throughput: 266 },
            { id: 481, machine_id: 27, timestamp: new Date("2023-02-11T05:13:05Z"), temperature: "58.74", vibration: "5.67", throughput: 902 },
            { id: 482, machine_id: 3, timestamp: new Date("2023-10-28T00:17:42Z"), temperature: "46.89", vibration: "3.25", throughput: 295 },
            { id: 483, machine_id: 1, timestamp: new Date("2023-12-09T06:05:45Z"), temperature: "18.63", vibration: "2.64", throughput: 21 },
            { id: 484, machine_id: 15, timestamp: new Date("2023-02-04T08:51:07Z"), temperature: "49.04", vibration: "4.53", throughput: 35 },
            { id: 485, machine_id: 23, timestamp: new Date("2023-08-18T00:07:44Z"), temperature: "50.99", vibration: "5.70", throughput: 123 },
            { id: 486, machine_id: 15, timestamp: new Date("2023-07-29T06:35:39Z"), temperature: "84.20", vibration: "4.60", throughput: 863 },
            { id: 487, machine_id: 20, timestamp: new Date("2023-04-05T20:27:59Z"), temperature: "51.33", vibration: "8.49", throughput: 13 },
            { id: 488, machine_id: 11, timestamp: new Date("2023-02-16T00:18:17Z"), temperature: "50.65", vibration: "4.87", throughput: 60 },
            { id: 489, machine_id: 22, timestamp: new Date("2023-02-19T09:17:17Z"), temperature: "94.05", vibration: "5.78", throughput: 4 },
            { id: 490, machine_id: 15, timestamp: new Date("2023-05-21T20:16:50Z"), temperature: "1.92", vibration: "4.12", throughput: 48 },
            { id: 491, machine_id: 2, timestamp: new Date("2023-03-25T02:01:06Z"), temperature: "85.60", vibration: "8.78", throughput: 14 },
            { id: 492, machine_id: 14, timestamp: new Date("2023-02-09T16:26:46Z"), temperature: "59.59", vibration: "3.60", throughput: 6 },
            { id: 493, machine_id: 11, timestamp: new Date("2023-04-21T06:06:08Z"), temperature: "42.87", vibration: "9.27", throughput: 261 },
            { id: 494, machine_id: 22, timestamp: new Date("2023-07-31T04:50:37Z"), temperature: "70.05", vibration: "8.05", throughput: 56 },
            { id: 495, machine_id: 20, timestamp: new Date("2023-06-15T21:30:53Z"), temperature: "54.50", vibration: "9.25", throughput: 381 },
            { id: 496, machine_id: 21, timestamp: new Date("2023-09-15T16:30:14Z"), temperature: "24.13", vibration: "1.95", throughput: 137 },
            { id: 497, machine_id: 6, timestamp: new Date("2023-04-19T07:34:42Z"), temperature: "75.13", vibration: "5.93", throughput: 403 },
            { id: 498, machine_id: 1, timestamp: new Date("2023-03-04T22:11:52Z"), temperature: "35.87", vibration: "3.49", throughput: 407 },
            { id: 499, machine_id: 6, timestamp: new Date("2023-08-06T08:31:01Z"), temperature: "7.15", vibration: "9.75", throughput: 897 },
            { id: 500, machine_id: 27, timestamp: new Date("2023-02-23T04:10:34Z"), temperature: "46.90", vibration: "7.34", throughput: 616 },
        ],
    });
    await prisma.sensor_readings.createMany({
        data: [
            { id: 501, machine_id: 7, timestamp: new Date("2023-07-07T21:04:53Z"), temperature: "20.68", vibration: "3.30", throughput: 714 },
            { id: 502, machine_id: 14, timestamp: new Date("2023-06-03T14:26:15Z"), temperature: "6.49", vibration: "2.41", throughput: 2 },
            { id: 503, machine_id: 17, timestamp: new Date("2023-05-31T16:54:27Z"), temperature: "36.42", vibration: "5.68", throughput: 520 },
            { id: 504, machine_id: 26, timestamp: new Date("2023-01-23T02:22:01Z"), temperature: "97.40", vibration: "6.60", throughput: 320 },
            { id: 505, machine_id: 10, timestamp: new Date("2023-11-14T23:19:35Z"), temperature: "28.63", vibration: "1.46", throughput: 622 },
            { id: 506, machine_id: 2, timestamp: new Date("2023-11-19T09:10:52Z"), temperature: "82.69", vibration: "0.47", throughput: 128 },
            { id: 507, machine_id: 18, timestamp: new Date("2023-10-25T18:05:06Z"), temperature: "49.63", vibration: "3.68", throughput: 419 },
            { id: 508, machine_id: 21, timestamp: new Date("2023-11-30T02:58:19Z"), temperature: "95.90", vibration: "1.05", throughput: 42 },
            { id: 509, machine_id: 16, timestamp: new Date("2023-11-08T03:41:39Z"), temperature: "53.68", vibration: "1.40", throughput: 601 },
            { id: 510, machine_id: 16, timestamp: new Date("2023-08-06T20:41:17Z"), temperature: "5.05", vibration: "8.02", throughput: 100 },
            { id: 511, machine_id: 12, timestamp: new Date("2023-02-19T17:47:56Z"), temperature: "98.47", vibration: "4.32", throughput: 419 },
            { id: 512, machine_id: 24, timestamp: new Date("2023-01-03T19:55:24Z"), temperature: "15.69", vibration: "0.15", throughput: 9 },
            { id: 513, machine_id: 16, timestamp: new Date("2023-07-22T15:54:30Z"), temperature: "14.03", vibration: "0.23", throughput: 1 },
            { id: 514, machine_id: 24, timestamp: new Date("2023-04-23T03:44:10Z"), temperature: "75.88", vibration: "4.46", throughput: 732 },
            { id: 515, machine_id: 26, timestamp: new Date("2023-04-04T20:47:28Z"), temperature: "38.11", vibration: "6.47", throughput: 502 },
            { id: 516, machine_id: 20, timestamp: new Date("2023-04-09T19:14:10Z"), temperature: "46.62", vibration: "3.29", throughput: 244 },
            { id: 517, machine_id: 6, timestamp: new Date("2023-10-08T13:45:49Z"), temperature: "78.85", vibration: "2.08", throughput: 949 },
            { id: 518, machine_id: 17, timestamp: new Date("2023-05-07T00:26:05Z"), temperature: "65.28", vibration: "8.55", throughput: 83 },
            { id: 519, machine_id: 18, timestamp: new Date("2023-03-20T07:31:12Z"), temperature: "36.13", vibration: "4.61", throughput: 883 },
            { id: 520, machine_id: 26, timestamp: new Date("2023-01-15T17:11:35Z"), temperature: "85.01", vibration: "4.45", throughput: 289 },
            { id: 521, machine_id: 17, timestamp: new Date("2023-03-03T01:53:22Z"), temperature: "97.12", vibration: "4.53", throughput: 258 },
            { id: 522, machine_id: 16, timestamp: new Date("2023-11-15T01:10:02Z"), temperature: "97.90", vibration: "1.23", throughput: 278 },
            { id: 523, machine_id: 8, timestamp: new Date("2023-11-03T23:13:41Z"), temperature: "10.45", vibration: "8.31", throughput: 91 },
            { id: 524, machine_id: 9, timestamp: new Date("2023-10-01T02:30:48Z"), temperature: "63.56", vibration: "9.98", throughput: 120 },
            { id: 525, machine_id: 13, timestamp: new Date("2023-08-22T06:59:47Z"), temperature: "73.26", vibration: "9.23", throughput: 307 },
            { id: 526, machine_id: 8, timestamp: new Date("2023-05-17T22:36:34Z"), temperature: "93.75", vibration: "0.35", throughput: 10 },
            { id: 527, machine_id: 18, timestamp: new Date("2023-01-27T21:12:27Z"), temperature: "17.90", vibration: "0.94", throughput: 70 },
            { id: 528, machine_id: 8, timestamp: new Date("2023-04-19T17:40:08Z"), temperature: "98.91", vibration: "6.55", throughput: 602 },
            { id: 529, machine_id: 14, timestamp: new Date("2023-12-06T00:49:58Z"), temperature: "3.50", vibration: "2.00", throughput: 164 },
            { id: 530, machine_id: 20, timestamp: new Date("2023-05-21T08:07:30Z"), temperature: "34.73", vibration: "6.46", throughput: 33 },
            { id: 531, machine_id: 6, timestamp: new Date("2023-02-09T03:19:41Z"), temperature: "57.76", vibration: "5.14", throughput: 86 },
            { id: 532, machine_id: 21, timestamp: new Date("2023-10-21T02:14:33Z"), temperature: "61.29", vibration: "1.97", throughput: 86 },
            { id: 533, machine_id: 4, timestamp: new Date("2023-08-01T03:27:47Z"), temperature: "43.94", vibration: "4.72", throughput: 21 },
            { id: 534, machine_id: 17, timestamp: new Date("2023-01-15T01:39:37Z"), temperature: "3.50", vibration: "5.72", throughput: 425 },
            { id: 535, machine_id: 19, timestamp: new Date("2023-12-22T15:49:24Z"), temperature: "49.65", vibration: "6.60", throughput: 188 },
            { id: 536, machine_id: 12, timestamp: new Date("2023-03-02T04:52:54Z"), temperature: "27.26", vibration: "1.68", throughput: 117 },
            { id: 537, machine_id: 16, timestamp: new Date("2023-11-13T19:16:56Z"), temperature: "97.18", vibration: "9.81", throughput: 496 },
            { id: 538, machine_id: 1, timestamp: new Date("2023-10-14T17:26:28Z"), temperature: "41.72", vibration: "5.16", throughput: 648 },
            { id: 539, machine_id: 17, timestamp: new Date("2023-03-04T05:53:28Z"), temperature: "49.85", vibration: "4.86", throughput: 682 },
            { id: 540, machine_id: 12, timestamp: new Date("2023-06-16T16:26:41Z"), temperature: "71.91", vibration: "3.02", throughput: 353 },
            { id: 541, machine_id: 11, timestamp: new Date("2023-04-25T09:48:38Z"), temperature: "42.50", vibration: "6.21", throughput: 331 },
            { id: 542, machine_id: 2, timestamp: new Date("2023-01-03T18:29:08Z"), temperature: "56.58", vibration: "5.88", throughput: 756 },
            { id: 543, machine_id: 15, timestamp: new Date("2023-03-06T18:08:30Z"), temperature: "71.42", vibration: "5.10", throughput: 691 },
            { id: 544, machine_id: 8, timestamp: new Date("2023-05-25T20:57:27Z"), temperature: "94.47", vibration: "4.77", throughput: 269 },
            { id: 545, machine_id: 2, timestamp: new Date("2023-05-15T00:54:30Z"), temperature: "89.79", vibration: "7.40", throughput: 917 },
            { id: 546, machine_id: 6, timestamp: new Date("2023-06-07T19:54:24Z"), temperature: "8.28", vibration: "2.14", throughput: 806 },
            { id: 547, machine_id: 26, timestamp: new Date("2023-07-22T06:09:59Z"), temperature: "69.75", vibration: "2.18", throughput: 83 },
            { id: 548, machine_id: 12, timestamp: new Date("2023-08-07T13:54:02Z"), temperature: "15.36", vibration: "4.72", throughput: 655 },
            { id: 549, machine_id: 26, timestamp: new Date("2023-11-10T02:29:32Z"), temperature: "37.86", vibration: "9.47", throughput: 119 },
            { id: 550, machine_id: 1, timestamp: new Date("2023-08-30T19:06:03Z"), temperature: "83.93", vibration: "2.66", throughput: 49 },
            { id: 551, machine_id: 25, timestamp: new Date("2023-05-03T12:47:07Z"), temperature: "82.07", vibration: "3.67", throughput: 308 },
            { id: 552, machine_id: 10, timestamp: new Date("2023-01-23T07:19:31Z"), temperature: "4.45", vibration: "4.71", throughput: 1 },
            { id: 553, machine_id: 25, timestamp: new Date("2023-09-26T08:36:00Z"), temperature: "2.96", vibration: "8.47", throughput: 584 },
            { id: 554, machine_id: 5, timestamp: new Date("2023-10-08T05:41:02Z"), temperature: "21.13", vibration: "2.53", throughput: 259 },
            { id: 555, machine_id: 6, timestamp: new Date("2023-06-09T08:47:09Z"), temperature: "68.37", vibration: "0.18", throughput: 3 },
        ],
    });
    await prisma.anomalies.createMany({
        data: [
            { id: 1, sensor_reading_id: 7, anomaly_type: "low throughput", description: "A standard order was updated the same day.", timestamp: new Date("2023-05-23T21:18:51Z") },
            { id: 2, sensor_reading_id: 101, anomaly_type: "temperature spike", description: "The claim was reopened following a standard review.", timestamp: new Date("2023-01-20T15:14:37Z") },
            { id: 3, sensor_reading_id: 428, anomaly_type: "temperature spike", description: "The shipment was confirmed following an automatic review.", timestamp: new Date("2023-06-25T07:17:29Z") },
            { id: 4, sensor_reading_id: 97, anomaly_type: "temperature spike", description: "The reviewer reported a late issue; the refund was cancelled.", timestamp: new Date("2023-11-17T19:48:49Z") },
            { id: 5, sensor_reading_id: 534, anomaly_type: "high vibration", description: "An operator reported a minor issue; the record was resolved.", timestamp: new Date("2023-02-25T14:36:04Z") },
            { id: 6, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "A partial report was confirmed the same day.", timestamp: new Date("2023-01-17T06:18:03Z") },
            { id: 7, sensor_reading_id: 35, anomaly_type: "temperature spike", description: "The customer reported a minor issue; the appointment was replaced.", timestamp: new Date("2023-01-09T02:30:43Z") },
            { id: 8, sensor_reading_id: 201, anomaly_type: "temperature spike", description: "The shipment was reviewed after a late check.", timestamp: new Date("2023-08-30T19:32:30Z") },
            { id: 9, sensor_reading_id: 164, anomaly_type: "temperature spike", description: "No response from the supplier, so the session was updated.", timestamp: new Date("2023-03-18T12:04:57Z") },
            { id: 10, sensor_reading_id: 250, anomaly_type: "high vibration", description: "The account owner confirmed the details and the request was processed.", timestamp: new Date("2023-08-23T14:04:28Z") },
            { id: 11, sensor_reading_id: 77, anomaly_type: "temperature spike", description: "A duplicate report was completed the same day.", timestamp: new Date("2023-07-27T22:00:31Z") },
            { id: 12, sensor_reading_id: 297, anomaly_type: "low throughput", description: "Support asked for a change and the item was delayed.", timestamp: new Date("2023-06-21T11:07:59Z") },
            { id: 13, sensor_reading_id: 325, anomaly_type: "temperature spike", description: "An operator confirmed the details and the record was reopened.", timestamp: new Date("2023-07-20T21:07:09Z") },
            { id: 14, sensor_reading_id: 271, anomaly_type: "temperature spike", description: "An automatic follow-up: the item was reopened.", timestamp: new Date("2023-01-14T10:14:19Z") },
            { id: 15, sensor_reading_id: 273, anomaly_type: "high vibration", description: "The booking was refunded — urgent case, no further action.", timestamp: new Date("2023-05-28T08:40:47Z") },
            { id: 16, sensor_reading_id: 143, anomaly_type: "temperature spike", description: "Flagged as automatic. The courier confirmed the request.", timestamp: new Date("2023-06-16T11:46:06Z") },
            { id: 17, sensor_reading_id: 473, anomaly_type: "temperature spike", description: "The session was refunded following an urgent review.", timestamp: new Date("2023-03-05T13:27:46Z") },
            { id: 18, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the shipment was cancelled.", timestamp: new Date("2023-09-16T06:57:46Z") },
            { id: 19, sensor_reading_id: 551, anomaly_type: "temperature spike", description: "Flagged as partial. The reviewer processed the document.", timestamp: new Date("2023-01-24T00:42:30Z") },
            { id: 20, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The record was closed — standard case, no further action.", timestamp: new Date("2023-08-05T05:31:00Z") },
            { id: 21, sensor_reading_id: 282, anomaly_type: "high vibration", description: "A partial follow-up: the report was reviewed.", timestamp: new Date("2023-04-24T04:48:12Z") },
            { id: 22, sensor_reading_id: 231, anomaly_type: "temperature spike", description: "The courier confirmed the details and the request was replaced.", timestamp: new Date("2023-04-22T05:18:44Z") },
            { id: 23, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "No response from support, so the report was refunded.", timestamp: new Date("2023-02-24T22:05:55Z") },
            { id: 24, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "The payment was refunded after a duplicate check.", timestamp: new Date("2023-04-07T20:01:11Z") },
            { id: 25, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "No response from support, so the delivery was rejected.", timestamp: new Date("2023-12-08T18:28:13Z") },
            { id: 26, sensor_reading_id: 547, anomaly_type: "temperature spike", description: "Flagged as manual. An operator rescheduled the account.", timestamp: new Date("2023-12-27T04:57:37Z") },
            { id: 27, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "No response from the account owner, so the session was updated.", timestamp: new Date("2023-12-25T23:37:30Z") },
            { id: 28, sensor_reading_id: 234, anomaly_type: "temperature spike", description: "The customer confirmed the details and the report was updated.", timestamp: new Date("2023-09-17T12:03:24Z") },
            { id: 29, sensor_reading_id: 250, anomaly_type: "low throughput", description: "The reviewer asked for a change and the appointment was approved.", timestamp: new Date("2023-08-12T07:47:52Z") },
            { id: 30, sensor_reading_id: 426, anomaly_type: "temperature spike", description: "A manual payment was cancelled the same day.", timestamp: new Date("2023-07-29T05:45:39Z") },
            { id: 31, sensor_reading_id: 363, anomaly_type: "low throughput", description: "No response from the customer, so the appointment was rescheduled.", timestamp: new Date("2023-06-07T22:08:57Z") },
            { id: 32, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "The claim was reviewed — unusual case, no further action.", timestamp: new Date("2023-02-02T14:49:06Z") },
            { id: 33, sensor_reading_id: 450, anomaly_type: "temperature spike", description: "An operator confirmed the details and the record was reopened.", timestamp: new Date("2023-03-17T09:41:23Z") },
            { id: 34, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "The claim was processed following an unusual review.", timestamp: new Date("2023-08-10T00:53:45Z") },
            { id: 35, sensor_reading_id: 128, anomaly_type: "temperature spike", description: "The record was replaced after a routine check.", timestamp: new Date("2023-03-07T03:50:53Z") },
            { id: 36, sensor_reading_id: 99, anomaly_type: "high vibration", description: "The reviewer asked for a change and the item was delayed.", timestamp: new Date("2023-12-25T02:52:52Z") },
            { id: 37, sensor_reading_id: 96, anomaly_type: "temperature spike", description: "The supplier asked for a change and the account was updated.", timestamp: new Date("2023-04-11T23:03:07Z") },
            { id: 38, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The account owner asked for a change and the refund was delayed.", timestamp: new Date("2023-05-09T16:12:49Z") },
            { id: 39, sensor_reading_id: 360, anomaly_type: "temperature spike", description: "An automatic transfer was rejected the same day.", timestamp: new Date("2023-10-12T02:36:00Z") },
            { id: 40, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "A duplicate claim was resolved the same day.", timestamp: new Date("2023-04-12T04:43:42Z") },
            { id: 41, sensor_reading_id: 257, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the invoice was updated.", timestamp: new Date("2023-11-30T21:17:41Z") },
            { id: 42, sensor_reading_id: 51, anomaly_type: "high vibration", description: "The courier reported a routine issue; the account was updated.", timestamp: new Date("2023-11-06T18:42:09Z") },
            { id: 43, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "The refund was rejected — incomplete case, no further action.", timestamp: new Date("2023-03-30T22:27:33Z") },
            { id: 44, sensor_reading_id: 113, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the payment was closed.", timestamp: new Date("2023-03-30T06:36:05Z") },
            { id: 45, sensor_reading_id: 469, anomaly_type: "temperature spike", description: "An urgent refund was replaced the same day.", timestamp: new Date("2023-06-14T04:57:32Z") },
            { id: 46, sensor_reading_id: 69, anomaly_type: "temperature spike", description: "A manual document was updated the same day.", timestamp: new Date("2023-12-30T14:39:31Z") },
            { id: 47, sensor_reading_id: 59, anomaly_type: "low throughput", description: "A manual follow-up: the transfer was reviewed.", timestamp: new Date("2023-02-25T15:16:05Z") },
            { id: 48, sensor_reading_id: 182, anomaly_type: "high vibration", description: "The invoice was reopened after a minor check.", timestamp: new Date("2023-08-01T06:56:25Z") },
            { id: 49, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "An automatic delivery was rejected the same day.", timestamp: new Date("2023-03-17T14:02:39Z") },
            { id: 50, sensor_reading_id: 157, anomaly_type: "temperature spike", description: "The courier asked for a change and the appointment was rejected.", timestamp: new Date("2023-10-19T22:17:43Z") },
            { id: 51, sensor_reading_id: 20, anomaly_type: "temperature spike", description: "A duplicate request was rejected the same day.", timestamp: new Date("2023-12-13T11:35:37Z") },
            { id: 52, sensor_reading_id: 194, anomaly_type: "low throughput", description: "An urgent item was closed the same day.", timestamp: new Date("2023-04-30T17:05:56Z") },
            { id: 53, sensor_reading_id: 205, anomaly_type: "temperature spike", description: "The item was reviewed after a standard check.", timestamp: new Date("2023-09-07T09:53:46Z") },
            { id: 54, sensor_reading_id: 164, anomaly_type: "high vibration", description: "The customer confirmed the details and the appointment was updated.", timestamp: new Date("2023-02-14T00:52:06Z") },
            { id: 55, sensor_reading_id: 213, anomaly_type: "high vibration", description: "Flagged as routine. The reviewer reviewed the payment.", timestamp: new Date("2023-10-01T06:12:43Z") },
            { id: 56, sensor_reading_id: 425, anomaly_type: "high vibration", description: "The account owner confirmed the details and the refund was processed.", timestamp: new Date("2023-01-19T14:37:44Z") },
            { id: 57, sensor_reading_id: 382, anomaly_type: "high vibration", description: "A late refund was refunded the same day.", timestamp: new Date("2023-02-10T22:17:47Z") },
            { id: 58, sensor_reading_id: 261, anomaly_type: "temperature spike", description: "The report was approved — duplicate case, no further action.", timestamp: new Date("2023-11-06T16:45:24Z") },
            { id: 59, sensor_reading_id: 518, anomaly_type: "temperature spike", description: "Flagged as duplicate. The customer cancelled the transfer.", timestamp: new Date("2023-03-12T15:42:36Z") },
            { id: 60, sensor_reading_id: 54, anomaly_type: "low throughput", description: "The payment was escalated following a repeat review.", timestamp: new Date("2023-02-01T20:18:33Z") },
            { id: 61, sensor_reading_id: 164, anomaly_type: "temperature spike", description: "The courier asked for a change and the account was refunded.", timestamp: new Date("2023-09-13T17:40:08Z") },
            { id: 62, sensor_reading_id: 266, anomaly_type: "low throughput", description: "A minor transfer was completed the same day.", timestamp: new Date("2023-09-19T07:41:26Z") },
            { id: 63, sensor_reading_id: 362, anomaly_type: "high vibration", description: "The request was resolved after a minor check.", timestamp: new Date("2023-05-28T03:49:57Z") },
            { id: 64, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "The transfer was approved after a repeat check.", timestamp: new Date("2023-10-09T14:26:10Z") },
            { id: 65, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "A standard follow-up: the order was delayed.", timestamp: new Date("2023-10-09T04:13:57Z") },
            { id: 66, sensor_reading_id: 263, anomaly_type: "temperature spike", description: "The report was updated — late case, no further action.", timestamp: new Date("2023-10-03T21:27:32Z") },
            { id: 67, sensor_reading_id: 266, anomaly_type: "low throughput", description: "The account owner asked for a change and the report was processed.", timestamp: new Date("2023-04-03T10:28:49Z") },
            { id: 68, sensor_reading_id: 91, anomaly_type: "high vibration", description: "The delivery was replaced following an unusual review.", timestamp: new Date("2023-01-25T09:25:02Z") },
            { id: 69, sensor_reading_id: 57, anomaly_type: "temperature spike", description: "The team confirmed the details and the record was reopened.", timestamp: new Date("2023-03-29T03:50:20Z") },
            { id: 70, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "The team asked for a change and the account was replaced.", timestamp: new Date("2023-05-29T22:47:49Z") },
            { id: 71, sensor_reading_id: 58, anomaly_type: "temperature spike", description: "The account was completed — urgent case, no further action.", timestamp: new Date("2023-10-16T17:30:13Z") },
            { id: 72, sensor_reading_id: 132, anomaly_type: "high vibration", description: "A repeat ticket was reviewed the same day.", timestamp: new Date("2023-06-29T20:46:32Z") },
            { id: 73, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "The courier asked for a change and the account was completed.", timestamp: new Date("2023-01-26T19:02:41Z") },
            { id: 74, sensor_reading_id: 227, anomaly_type: "high vibration", description: "The supplier reported a late issue; the shipment was closed.", timestamp: new Date("2023-07-15T14:55:27Z") },
            { id: 75, sensor_reading_id: 14, anomaly_type: "temperature spike", description: "The report was resolved — incomplete case, no further action.", timestamp: new Date("2023-02-01T08:35:22Z") },
            { id: 76, sensor_reading_id: 85, anomaly_type: "low throughput", description: "Flagged as unusual. The customer cancelled the payment.", timestamp: new Date("2023-10-08T04:57:39Z") },
            { id: 77, sensor_reading_id: 7, anomaly_type: "high vibration", description: "The account was delayed after a standard check.", timestamp: new Date("2023-06-28T21:01:15Z") },
            { id: 78, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "An operator confirmed the details and the invoice was confirmed.", timestamp: new Date("2023-07-12T16:44:54Z") },
            { id: 79, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "Flagged as incomplete. The supplier resolved the shipment.", timestamp: new Date("2023-06-22T21:40:36Z") },
            { id: 80, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "The customer asked for a change and the ticket was rejected.", timestamp: new Date("2023-12-01T07:24:58Z") },
            { id: 81, sensor_reading_id: 145, anomaly_type: "high vibration", description: "The report was escalated following an unusual review.", timestamp: new Date("2023-05-07T13:34:50Z") },
            { id: 82, sensor_reading_id: 504, anomaly_type: "high vibration", description: "The account owner reported a routine issue; the account was reopened.", timestamp: new Date("2023-01-17T20:36:15Z") },
            { id: 83, sensor_reading_id: 388, anomaly_type: "high vibration", description: "Support confirmed the details and the session was reviewed.", timestamp: new Date("2023-08-09T07:42:33Z") },
            { id: 84, sensor_reading_id: 83, anomaly_type: "high vibration", description: "The session was escalated following an urgent review.", timestamp: new Date("2023-11-22T16:22:34Z") },
            { id: 85, sensor_reading_id: 172, anomaly_type: "high vibration", description: "Flagged as duplicate. The account owner confirmed the session.", timestamp: new Date("2023-04-26T10:16:26Z") },
            { id: 86, sensor_reading_id: 6, anomaly_type: "temperature spike", description: "Flagged as late. The account owner cancelled the transfer.", timestamp: new Date("2023-04-01T01:46:54Z") },
            { id: 87, sensor_reading_id: 487, anomaly_type: "high vibration", description: "No response from the supplier, so the refund was cancelled.", timestamp: new Date("2023-08-15T12:21:29Z") },
            { id: 88, sensor_reading_id: 167, anomaly_type: "temperature spike", description: "The claim was closed after an incomplete check.", timestamp: new Date("2023-08-30T20:11:20Z") },
            { id: 89, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "The team asked for a change and the payment was rejected.", timestamp: new Date("2023-08-08T06:26:02Z") },
            { id: 90, sensor_reading_id: 42, anomaly_type: "temperature spike", description: "A standard follow-up: the order was processed.", timestamp: new Date("2023-05-29T23:41:07Z") },
            { id: 91, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "No response from the team, so the booking was cancelled.", timestamp: new Date("2023-07-26T09:26:24Z") },
            { id: 92, sensor_reading_id: 360, anomaly_type: "low throughput", description: "An automatic follow-up: the appointment was closed.", timestamp: new Date("2023-01-08T20:34:06Z") },
            { id: 93, sensor_reading_id: 202, anomaly_type: "temperature spike", description: "The payment was refunded — standard case, no further action.", timestamp: new Date("2023-01-03T03:34:58Z") },
            { id: 94, sensor_reading_id: 145, anomaly_type: "temperature spike", description: "The team reported an urgent issue; the ticket was delayed.", timestamp: new Date("2023-12-13T03:43:28Z") },
            { id: 95, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "A late claim was reopened the same day.", timestamp: new Date("2023-03-23T15:16:20Z") },
            { id: 96, sensor_reading_id: 296, anomaly_type: "temperature spike", description: "The shipment was delayed — standard case, no further action.", timestamp: new Date("2023-02-04T00:01:46Z") },
            { id: 97, sensor_reading_id: 99, anomaly_type: "temperature spike", description: "The record was escalated after a routine check.", timestamp: new Date("2023-09-27T20:17:08Z") },
            { id: 98, sensor_reading_id: 212, anomaly_type: "high vibration", description: "The customer asked for a change and the session was reopened.", timestamp: new Date("2023-01-01T12:55:17Z") },
            { id: 99, sensor_reading_id: 144, anomaly_type: "temperature spike", description: "The customer confirmed the details and the document was refunded.", timestamp: new Date("2023-09-29T05:24:44Z") },
            { id: 100, sensor_reading_id: 489, anomaly_type: "temperature spike", description: "The session was resolved after a minor check.", timestamp: new Date("2023-05-22T06:22:32Z") },
            { id: 101, sensor_reading_id: 175, anomaly_type: "temperature spike", description: "The account owner asked for a change and the refund was reopened.", timestamp: new Date("2023-03-16T01:09:11Z") },
            { id: 102, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "The refund was rejected following a routine review.", timestamp: new Date("2023-08-09T14:21:09Z") },
            { id: 103, sensor_reading_id: 91, anomaly_type: "high vibration", description: "The document was closed after a routine check.", timestamp: new Date("2023-12-26T16:55:59Z") },
            { id: 104, sensor_reading_id: 372, anomaly_type: "high vibration", description: "Flagged as manual. The account owner reopened the shipment.", timestamp: new Date("2023-06-11T22:31:25Z") },
            { id: 105, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "The delivery was replaced following a partial review.", timestamp: new Date("2023-07-07T04:00:42Z") },
            { id: 106, sensor_reading_id: 402, anomaly_type: "temperature spike", description: "Flagged as urgent. The customer rejected the report.", timestamp: new Date("2023-11-03T09:14:00Z") },
            { id: 107, sensor_reading_id: 30, anomaly_type: "temperature spike", description: "The session was processed — urgent case, no further action.", timestamp: new Date("2023-01-27T11:17:05Z") },
            { id: 108, sensor_reading_id: 532, anomaly_type: "high vibration", description: "The delivery was rejected — routine case, no further action.", timestamp: new Date("2023-08-08T08:18:08Z") },
            { id: 109, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "A repeat follow-up: the request was replaced.", timestamp: new Date("2023-10-22T07:35:45Z") },
            { id: 110, sensor_reading_id: 101, anomaly_type: "temperature spike", description: "The request was processed — routine case, no further action.", timestamp: new Date("2023-06-22T19:31:50Z") },
            { id: 111, sensor_reading_id: 455, anomaly_type: "high vibration", description: "The team reported a partial issue; the record was completed.", timestamp: new Date("2023-02-23T13:35:15Z") },
            { id: 112, sensor_reading_id: 426, anomaly_type: "temperature spike", description: "The claim was cancelled after a late check.", timestamp: new Date("2023-11-13T12:21:25Z") },
            { id: 113, sensor_reading_id: 339, anomaly_type: "high vibration", description: "The account owner reported a routine issue; the booking was cancelled.", timestamp: new Date("2023-01-20T00:32:12Z") },
            { id: 114, sensor_reading_id: 31, anomaly_type: "low throughput", description: "The session was closed following an unusual review.", timestamp: new Date("2023-12-02T15:42:36Z") },
            { id: 115, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "The courier confirmed the details and the order was reopened.", timestamp: new Date("2023-10-07T21:02:12Z") },
            { id: 116, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "The transfer was escalated after a late check.", timestamp: new Date("2023-04-17T05:07:07Z") },
            { id: 117, sensor_reading_id: 457, anomaly_type: "low throughput", description: "A repeat follow-up: the booking was replaced.", timestamp: new Date("2023-05-19T06:53:12Z") },
            { id: 118, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The item was cancelled following a standard review.", timestamp: new Date("2023-03-27T18:55:18Z") },
            { id: 119, sensor_reading_id: 61, anomaly_type: "temperature spike", description: "An unusual invoice was closed the same day.", timestamp: new Date("2023-08-23T21:36:06Z") },
            { id: 120, sensor_reading_id: 514, anomaly_type: "high vibration", description: "The courier asked for a change and the session was cancelled.", timestamp: new Date("2023-04-11T13:05:09Z") },
            { id: 121, sensor_reading_id: 8, anomaly_type: "high vibration", description: "Flagged as incomplete. Support updated the payment.", timestamp: new Date("2023-02-19T04:02:58Z") },
            { id: 122, sensor_reading_id: 375, anomaly_type: "low throughput", description: "An automatic shipment was processed the same day.", timestamp: new Date("2023-05-03T09:36:18Z") },
            { id: 123, sensor_reading_id: 296, anomaly_type: "high vibration", description: "A partial appointment was completed the same day.", timestamp: new Date("2023-09-05T06:57:30Z") },
            { id: 124, sensor_reading_id: 11, anomaly_type: "temperature spike", description: "The refund was replaced after a late check.", timestamp: new Date("2023-12-08T04:37:09Z") },
            { id: 125, sensor_reading_id: 151, anomaly_type: "high vibration", description: "A repeat item was escalated the same day.", timestamp: new Date("2023-09-20T23:23:39Z") },
            { id: 126, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "The document was reopened after a duplicate check.", timestamp: new Date("2023-05-20T03:44:57Z") },
            { id: 127, sensor_reading_id: 402, anomaly_type: "temperature spike", description: "No response from the supplier, so the record was rejected.", timestamp: new Date("2023-08-20T22:35:54Z") },
            { id: 128, sensor_reading_id: 182, anomaly_type: "high vibration", description: "An automatic invoice was reviewed the same day.", timestamp: new Date("2023-08-29T18:59:46Z") },
            { id: 129, sensor_reading_id: 154, anomaly_type: "high vibration", description: "The customer reported an automatic issue; the item was cancelled.", timestamp: new Date("2023-01-15T01:24:44Z") },
            { id: 130, sensor_reading_id: 97, anomaly_type: "temperature spike", description: "The courier asked for a change and the ticket was updated.", timestamp: new Date("2023-03-25T17:03:36Z") },
            { id: 131, sensor_reading_id: 416, anomaly_type: "temperature spike", description: "The team confirmed the details and the claim was rejected.", timestamp: new Date("2023-09-29T03:57:16Z") },
            { id: 132, sensor_reading_id: 97, anomaly_type: "temperature spike", description: "Support confirmed the details and the transfer was rejected.", timestamp: new Date("2023-04-17T11:12:18Z") },
            { id: 133, sensor_reading_id: 425, anomaly_type: "low throughput", description: "The record was rescheduled — minor case, no further action.", timestamp: new Date("2023-07-24T02:34:35Z") },
            { id: 134, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "The document was rejected following a partial review.", timestamp: new Date("2023-05-28T10:25:27Z") },
            { id: 135, sensor_reading_id: 417, anomaly_type: "high vibration", description: "The record was closed after a minor check.", timestamp: new Date("2023-02-27T11:30:55Z") },
            { id: 136, sensor_reading_id: 382, anomaly_type: "temperature spike", description: "Support asked for a change and the account was rescheduled.", timestamp: new Date("2023-04-01T13:43:29Z") },
            { id: 137, sensor_reading_id: 533, anomaly_type: "temperature spike", description: "The document was reviewed after an automatic check.", timestamp: new Date("2023-04-26T15:38:12Z") },
            { id: 138, sensor_reading_id: 189, anomaly_type: "temperature spike", description: "An incomplete follow-up: the document was refunded.", timestamp: new Date("2023-09-16T03:07:06Z") },
            { id: 139, sensor_reading_id: 361, anomaly_type: "temperature spike", description: "No response from the customer, so the transfer was rescheduled.", timestamp: new Date("2023-03-26T18:24:18Z") },
            { id: 140, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "A routine follow-up: the appointment was closed.", timestamp: new Date("2023-10-07T02:36:16Z") },
            { id: 141, sensor_reading_id: 77, anomaly_type: "high vibration", description: "Flagged as urgent. An operator rescheduled the session.", timestamp: new Date("2023-03-08T08:30:03Z") },
            { id: 142, sensor_reading_id: 227, anomaly_type: "high vibration", description: "A routine booking was reviewed the same day.", timestamp: new Date("2023-09-26T07:38:57Z") },
            { id: 143, sensor_reading_id: 254, anomaly_type: "temperature spike", description: "A late follow-up: the request was delayed.", timestamp: new Date("2023-02-03T12:16:02Z") },
            { id: 144, sensor_reading_id: 59, anomaly_type: "high vibration", description: "The team asked for a change and the document was rescheduled.", timestamp: new Date("2023-04-16T07:28:06Z") },
            { id: 145, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "A routine report was cancelled the same day.", timestamp: new Date("2023-06-25T13:18:25Z") },
            { id: 146, sensor_reading_id: 449, anomaly_type: "low throughput", description: "The order was delayed — unusual case, no further action.", timestamp: new Date("2023-02-12T17:06:02Z") },
            { id: 147, sensor_reading_id: 365, anomaly_type: "low throughput", description: "No response from the account owner, so the document was delayed.", timestamp: new Date("2023-01-08T17:47:16Z") },
            { id: 148, sensor_reading_id: 28, anomaly_type: "temperature spike", description: "The payment was cancelled after an automatic check.", timestamp: new Date("2023-07-21T00:57:07Z") },
            { id: 149, sensor_reading_id: 348, anomaly_type: "temperature spike", description: "The invoice was reopened — routine case, no further action.", timestamp: new Date("2023-02-02T04:31:06Z") },
            { id: 150, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "The courier asked for a change and the item was updated.", timestamp: new Date("2023-03-02T12:56:24Z") },
            { id: 151, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "A duplicate follow-up: the item was replaced.", timestamp: new Date("2023-04-20T17:32:36Z") },
            { id: 152, sensor_reading_id: 455, anomaly_type: "high vibration", description: "The supplier reported a manual issue; the claim was processed.", timestamp: new Date("2023-04-14T13:13:47Z") },
            { id: 153, sensor_reading_id: 196, anomaly_type: "high vibration", description: "The customer confirmed the details and the session was processed.", timestamp: new Date("2023-09-19T03:34:20Z") },
            { id: 154, sensor_reading_id: 365, anomaly_type: "high vibration", description: "No response from the courier, so the refund was confirmed.", timestamp: new Date("2023-03-13T14:58:51Z") },
            { id: 155, sensor_reading_id: 385, anomaly_type: "high vibration", description: "A minor record was escalated the same day.", timestamp: new Date("2023-02-02T09:37:37Z") },
            { id: 156, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "The courier asked for a change and the item was rescheduled.", timestamp: new Date("2023-10-14T16:53:09Z") },
            { id: 157, sensor_reading_id: 175, anomaly_type: "high vibration", description: "The transfer was approved after an urgent check.", timestamp: new Date("2023-09-08T12:48:56Z") },
            { id: 158, sensor_reading_id: 187, anomaly_type: "low throughput", description: "The document was completed after an urgent check.", timestamp: new Date("2023-03-31T16:18:49Z") },
            { id: 159, sensor_reading_id: 551, anomaly_type: "temperature spike", description: "The payment was refunded — late case, no further action.", timestamp: new Date("2023-03-01T13:59:40Z") },
            { id: 160, sensor_reading_id: 433, anomaly_type: "temperature spike", description: "The courier asked for a change and the payment was closed.", timestamp: new Date("2023-07-25T00:30:45Z") },
            { id: 161, sensor_reading_id: 312, anomaly_type: "temperature spike", description: "The payment was completed following a repeat review.", timestamp: new Date("2023-08-12T05:02:04Z") },
            { id: 162, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "The refund was confirmed — unusual case, no further action.", timestamp: new Date("2023-03-02T23:53:39Z") },
            { id: 163, sensor_reading_id: 205, anomaly_type: "temperature spike", description: "An urgent shipment was replaced the same day.", timestamp: new Date("2023-06-02T22:39:30Z") },
            { id: 164, sensor_reading_id: 9, anomaly_type: "high vibration", description: "The courier reported an automatic issue; the delivery was confirmed.", timestamp: new Date("2023-08-05T06:31:10Z") },
            { id: 165, sensor_reading_id: 164, anomaly_type: "temperature spike", description: "An urgent follow-up: the refund was refunded.", timestamp: new Date("2023-10-20T14:20:11Z") },
            { id: 166, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "The delivery was cancelled — unusual case, no further action.", timestamp: new Date("2023-03-23T20:33:50Z") },
            { id: 167, sensor_reading_id: 155, anomaly_type: "temperature spike", description: "Flagged as manual. The supplier cancelled the report.", timestamp: new Date("2023-07-08T16:23:06Z") },
            { id: 168, sensor_reading_id: 340, anomaly_type: "high vibration", description: "Support reported a repeat issue; the order was resolved.", timestamp: new Date("2023-10-01T23:40:50Z") },
            { id: 169, sensor_reading_id: 393, anomaly_type: "temperature spike", description: "Flagged as urgent. An operator completed the claim.", timestamp: new Date("2023-01-19T08:22:04Z") },
            { id: 170, sensor_reading_id: 36, anomaly_type: "high vibration", description: "No response from the reviewer, so the shipment was reviewed.", timestamp: new Date("2023-06-22T07:50:47Z") },
            { id: 171, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "No response from the customer, so the payment was reviewed.", timestamp: new Date("2023-09-24T19:47:56Z") },
            { id: 172, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "The customer asked for a change and the shipment was rescheduled.", timestamp: new Date("2023-03-07T23:49:01Z") },
            { id: 173, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "A duplicate follow-up: the appointment was closed.", timestamp: new Date("2023-07-24T00:09:01Z") },
            { id: 174, sensor_reading_id: 52, anomaly_type: "temperature spike", description: "The refund was reopened — late case, no further action.", timestamp: new Date("2023-12-27T18:55:56Z") },
            { id: 175, sensor_reading_id: 174, anomaly_type: "high vibration", description: "A partial payment was cancelled the same day.", timestamp: new Date("2023-03-17T22:03:12Z") },
            { id: 176, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "Support reported an automatic issue; the payment was reopened.", timestamp: new Date("2023-08-03T14:25:10Z") },
            { id: 177, sensor_reading_id: 120, anomaly_type: "temperature spike", description: "Support reported a standard issue; the account was rejected.", timestamp: new Date("2023-02-06T16:10:14Z") },
            { id: 178, sensor_reading_id: 450, anomaly_type: "temperature spike", description: "The document was approved — unusual case, no further action.", timestamp: new Date("2023-07-23T18:03:12Z") },
            { id: 179, sensor_reading_id: 192, anomaly_type: "temperature spike", description: "An incomplete follow-up: the booking was refunded.", timestamp: new Date("2023-06-18T18:32:59Z") },
            { id: 180, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "An operator reported an automatic issue; the order was closed.", timestamp: new Date("2023-08-03T18:58:47Z") },
            { id: 181, sensor_reading_id: 266, anomaly_type: "low throughput", description: "The customer reported an automatic issue; the order was closed.", timestamp: new Date("2023-06-28T13:37:34Z") },
            { id: 182, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "The courier asked for a change and the account was reopened.", timestamp: new Date("2023-11-15T09:07:24Z") },
            { id: 183, sensor_reading_id: 99, anomaly_type: "temperature spike", description: "The claim was replaced after a repeat check.", timestamp: new Date("2023-12-23T20:05:16Z") },
            { id: 184, sensor_reading_id: 449, anomaly_type: "high vibration", description: "Flagged as unusual. The team replaced the document.", timestamp: new Date("2023-01-22T15:11:15Z") },
            { id: 185, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "An urgent appointment was cancelled the same day.", timestamp: new Date("2023-08-16T00:16:30Z") },
            { id: 186, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "An operator confirmed the details and the delivery was rejected.", timestamp: new Date("2023-11-26T02:24:12Z") },
            { id: 187, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "No response from the team, so the document was reviewed.", timestamp: new Date("2023-10-08T20:27:39Z") },
            { id: 188, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "The order was rescheduled after a late check.", timestamp: new Date("2023-09-20T06:46:03Z") },
            { id: 189, sensor_reading_id: 489, anomaly_type: "temperature spike", description: "Flagged as standard. The customer processed the account.", timestamp: new Date("2023-04-05T04:30:32Z") },
            { id: 190, sensor_reading_id: 438, anomaly_type: "low throughput", description: "The item was completed following a duplicate review.", timestamp: new Date("2023-12-13T00:00:29Z") },
            { id: 191, sensor_reading_id: 318, anomaly_type: "low throughput", description: "The request was replaced following an urgent review.", timestamp: new Date("2023-07-07T23:10:49Z") },
            { id: 192, sensor_reading_id: 388, anomaly_type: "low throughput", description: "No response from the courier, so the booking was escalated.", timestamp: new Date("2023-12-22T00:43:13Z") },
            { id: 193, sensor_reading_id: 313, anomaly_type: "temperature spike", description: "The appointment was escalated after a standard check.", timestamp: new Date("2023-08-29T11:07:14Z") },
            { id: 194, sensor_reading_id: 239, anomaly_type: "temperature spike", description: "The courier confirmed the details and the delivery was escalated.", timestamp: new Date("2023-01-10T00:56:13Z") },
            { id: 195, sensor_reading_id: 121, anomaly_type: "temperature spike", description: "The session was reopened after a repeat check.", timestamp: new Date("2023-03-17T05:14:50Z") },
            { id: 196, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "No response from the team, so the shipment was closed.", timestamp: new Date("2023-03-07T04:01:20Z") },
            { id: 197, sensor_reading_id: 444, anomaly_type: "high vibration", description: "A duplicate request was escalated the same day.", timestamp: new Date("2023-11-12T07:30:58Z") },
            { id: 198, sensor_reading_id: 333, anomaly_type: "high vibration", description: "The customer reported an incomplete issue; the refund was delayed.", timestamp: new Date("2023-07-16T21:48:21Z") },
            { id: 199, sensor_reading_id: 131, anomaly_type: "high vibration", description: "No response from support, so the transfer was confirmed.", timestamp: new Date("2023-03-17T21:17:26Z") },
            { id: 200, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "The appointment was rescheduled following a standard review.", timestamp: new Date("2023-05-25T09:09:53Z") },
            { id: 201, sensor_reading_id: 83, anomaly_type: "low throughput", description: "Flagged as late. The supplier escalated the record.", timestamp: new Date("2023-02-07T11:20:48Z") },
            { id: 202, sensor_reading_id: 109, anomaly_type: "temperature spike", description: "An operator asked for a change and the order was reviewed.", timestamp: new Date("2023-09-24T08:17:23Z") },
            { id: 203, sensor_reading_id: 155, anomaly_type: "temperature spike", description: "Support reported an urgent issue; the document was replaced.", timestamp: new Date("2023-02-15T00:27:45Z") },
            { id: 204, sensor_reading_id: 430, anomaly_type: "temperature spike", description: "No response from the reviewer, so the appointment was reopened.", timestamp: new Date("2023-09-06T04:51:33Z") },
            { id: 205, sensor_reading_id: 544, anomaly_type: "temperature spike", description: "An urgent follow-up: the report was cancelled.", timestamp: new Date("2023-09-23T17:47:19Z") },
            { id: 206, sensor_reading_id: 372, anomaly_type: "high vibration", description: "The team asked for a change and the ticket was reviewed.", timestamp: new Date("2023-03-13T06:28:19Z") },
            { id: 207, sensor_reading_id: 171, anomaly_type: "high vibration", description: "The transfer was confirmed following a repeat review.", timestamp: new Date("2023-02-15T06:35:15Z") },
            { id: 208, sensor_reading_id: 444, anomaly_type: "temperature spike", description: "Flagged as routine. The reviewer delayed the record.", timestamp: new Date("2023-08-18T13:06:51Z") },
            { id: 209, sensor_reading_id: 20, anomaly_type: "high vibration", description: "A partial booking was processed the same day.", timestamp: new Date("2023-10-28T14:40:52Z") },
            { id: 210, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "The payment was approved following a late review.", timestamp: new Date("2023-03-25T13:15:44Z") },
            { id: 211, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "A standard follow-up: the account was resolved.", timestamp: new Date("2023-04-14T04:56:20Z") },
            { id: 212, sensor_reading_id: 550, anomaly_type: "high vibration", description: "The account was confirmed following a manual review.", timestamp: new Date("2023-09-14T07:03:56Z") },
            { id: 213, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "A late follow-up: the transfer was reviewed.", timestamp: new Date("2023-12-02T12:47:35Z") },
            { id: 214, sensor_reading_id: 205, anomaly_type: "high vibration", description: "The payment was refunded — partial case, no further action.", timestamp: new Date("2023-04-30T17:19:22Z") },
            { id: 215, sensor_reading_id: 64, anomaly_type: "low throughput", description: "The refund was reopened after an urgent check.", timestamp: new Date("2023-02-26T04:30:49Z") },
            { id: 216, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the document was refunded.", timestamp: new Date("2023-12-11T13:05:58Z") },
            { id: 217, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "No response from the reviewer, so the shipment was resolved.", timestamp: new Date("2023-04-10T01:07:25Z") },
            { id: 218, sensor_reading_id: 383, anomaly_type: "temperature spike", description: "The delivery was escalated — repeat case, no further action.", timestamp: new Date("2023-05-25T09:40:23Z") },
            { id: 219, sensor_reading_id: 435, anomaly_type: "temperature spike", description: "The ticket was closed after a manual check.", timestamp: new Date("2023-12-08T21:24:33Z") },
            { id: 220, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "The transfer was escalated — standard case, no further action.", timestamp: new Date("2023-06-23T11:33:35Z") },
            { id: 221, sensor_reading_id: 263, anomaly_type: "temperature spike", description: "The transfer was closed — duplicate case, no further action.", timestamp: new Date("2023-07-07T20:29:45Z") },
            { id: 222, sensor_reading_id: 273, anomaly_type: "temperature spike", description: "The supplier reported a duplicate issue; the ticket was reviewed.", timestamp: new Date("2023-04-18T23:54:19Z") },
            { id: 223, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "The record was cancelled — routine case, no further action.", timestamp: new Date("2023-02-23T19:10:58Z") },
            { id: 224, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "The invoice was completed after a late check.", timestamp: new Date("2023-04-24T06:42:07Z") },
            { id: 225, sensor_reading_id: 337, anomaly_type: "high vibration", description: "The request was updated — urgent case, no further action.", timestamp: new Date("2023-12-27T10:20:09Z") },
            { id: 226, sensor_reading_id: 260, anomaly_type: "temperature spike", description: "No response from the customer, so the refund was reviewed.", timestamp: new Date("2023-06-13T02:00:38Z") },
            { id: 227, sensor_reading_id: 547, anomaly_type: "low throughput", description: "The ticket was closed following an incomplete review.", timestamp: new Date("2023-08-16T17:10:30Z") },
            { id: 228, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "The supplier asked for a change and the transfer was completed.", timestamp: new Date("2023-06-23T13:33:26Z") },
            { id: 229, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "A minor record was replaced the same day.", timestamp: new Date("2023-05-20T03:44:34Z") },
            { id: 230, sensor_reading_id: 343, anomaly_type: "temperature spike", description: "A late follow-up: the report was cancelled.", timestamp: new Date("2023-04-01T09:18:31Z") },
            { id: 231, sensor_reading_id: 333, anomaly_type: "high vibration", description: "An automatic account was delayed the same day.", timestamp: new Date("2023-01-23T13:33:00Z") },
            { id: 232, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "A repeat follow-up: the request was processed.", timestamp: new Date("2023-04-01T23:17:35Z") },
            { id: 233, sensor_reading_id: 83, anomaly_type: "temperature spike", description: "The report was confirmed after a standard check.", timestamp: new Date("2023-06-15T16:12:40Z") },
            { id: 234, sensor_reading_id: 119, anomaly_type: "high vibration", description: "An unusual follow-up: the transfer was closed.", timestamp: new Date("2023-01-12T16:50:25Z") },
            { id: 235, sensor_reading_id: 45, anomaly_type: "temperature spike", description: "The session was approved following an unusual review.", timestamp: new Date("2023-03-20T05:53:40Z") },
            { id: 236, sensor_reading_id: 315, anomaly_type: "high vibration", description: "The invoice was rescheduled — partial case, no further action.", timestamp: new Date("2023-11-30T13:00:47Z") },
            { id: 237, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "An urgent follow-up: the booking was completed.", timestamp: new Date("2023-09-09T09:45:47Z") },
            { id: 238, sensor_reading_id: 305, anomaly_type: "low throughput", description: "The transfer was rescheduled following an incomplete review.", timestamp: new Date("2023-10-20T08:34:24Z") },
            { id: 239, sensor_reading_id: 224, anomaly_type: "temperature spike", description: "No response from support, so the appointment was processed.", timestamp: new Date("2023-06-05T18:39:16Z") },
            { id: 240, sensor_reading_id: 266, anomaly_type: "high vibration", description: "No response from the customer, so the item was reopened.", timestamp: new Date("2023-02-14T20:01:05Z") },
            { id: 241, sensor_reading_id: 246, anomaly_type: "low throughput", description: "An incomplete request was rejected the same day.", timestamp: new Date("2023-12-01T04:07:13Z") },
            { id: 242, sensor_reading_id: 23, anomaly_type: "temperature spike", description: "The delivery was updated after a routine check.", timestamp: new Date("2023-02-28T00:20:46Z") },
            { id: 243, sensor_reading_id: 63, anomaly_type: "temperature spike", description: "No response from support, so the item was completed.", timestamp: new Date("2023-12-26T21:46:33Z") },
            { id: 244, sensor_reading_id: 362, anomaly_type: "low throughput", description: "The supplier reported a manual issue; the invoice was rescheduled.", timestamp: new Date("2023-09-07T04:35:00Z") },
            { id: 245, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "The order was approved — minor case, no further action.", timestamp: new Date("2023-12-26T11:58:42Z") },
            { id: 246, sensor_reading_id: 175, anomaly_type: "temperature spike", description: "The order was cancelled — urgent case, no further action.", timestamp: new Date("2023-05-26T19:25:18Z") },
            { id: 247, sensor_reading_id: 268, anomaly_type: "high vibration", description: "The team confirmed the details and the payment was closed.", timestamp: new Date("2023-02-06T04:47:03Z") },
            { id: 248, sensor_reading_id: 249, anomaly_type: "temperature spike", description: "The customer confirmed the details and the order was cancelled.", timestamp: new Date("2023-01-18T21:43:15Z") },
            { id: 249, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "An operator confirmed the details and the transfer was refunded.", timestamp: new Date("2023-09-18T02:09:22Z") },
            { id: 250, sensor_reading_id: 291, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the invoice was updated.", timestamp: new Date("2023-05-11T20:13:53Z") },
            { id: 251, sensor_reading_id: 88, anomaly_type: "temperature spike", description: "Support confirmed the details and the order was resolved.", timestamp: new Date("2023-11-18T18:57:48Z") },
            { id: 252, sensor_reading_id: 312, anomaly_type: "temperature spike", description: "An unusual follow-up: the report was replaced.", timestamp: new Date("2023-12-13T02:46:41Z") },
            { id: 253, sensor_reading_id: 73, anomaly_type: "temperature spike", description: "The team reported a minor issue; the account was cancelled.", timestamp: new Date("2023-02-15T14:48:07Z") },
            { id: 254, sensor_reading_id: 359, anomaly_type: "temperature spike", description: "The team confirmed the details and the document was processed.", timestamp: new Date("2023-10-10T05:12:53Z") },
            { id: 255, sensor_reading_id: 545, anomaly_type: "temperature spike", description: "The supplier reported an incomplete issue; the shipment was delayed.", timestamp: new Date("2023-02-12T10:20:50Z") },
            { id: 256, sensor_reading_id: 464, anomaly_type: "temperature spike", description: "No response from the customer, so the request was resolved.", timestamp: new Date("2023-03-31T12:30:57Z") },
            { id: 257, sensor_reading_id: 227, anomaly_type: "low throughput", description: "Flagged as minor. Support cancelled the document.", timestamp: new Date("2023-05-13T18:10:28Z") },
            { id: 258, sensor_reading_id: 23, anomaly_type: "temperature spike", description: "The team asked for a change and the payment was escalated.", timestamp: new Date("2023-06-14T13:57:53Z") },
            { id: 259, sensor_reading_id: 272, anomaly_type: "high vibration", description: "The request was closed — standard case, no further action.", timestamp: new Date("2023-12-26T03:06:22Z") },
            { id: 260, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "No response from the reviewer, so the item was processed.", timestamp: new Date("2023-06-17T03:26:11Z") },
            { id: 261, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "No response from support, so the refund was delayed.", timestamp: new Date("2023-01-21T23:19:22Z") },
            { id: 262, sensor_reading_id: 545, anomaly_type: "temperature spike", description: "The team reported an automatic issue; the document was delayed.", timestamp: new Date("2023-07-05T12:43:07Z") },
            { id: 263, sensor_reading_id: 91, anomaly_type: "temperature spike", description: "A duplicate follow-up: the session was approved.", timestamp: new Date("2023-11-16T08:19:14Z") },
            { id: 264, sensor_reading_id: 83, anomaly_type: "low throughput", description: "The customer confirmed the details and the transfer was replaced.", timestamp: new Date("2023-09-03T20:09:57Z") },
            { id: 265, sensor_reading_id: 56, anomaly_type: "temperature spike", description: "Flagged as automatic. The customer completed the order.", timestamp: new Date("2023-01-10T21:44:52Z") },
            { id: 266, sensor_reading_id: 68, anomaly_type: "low throughput", description: "The payment was escalated — partial case, no further action.", timestamp: new Date("2023-12-17T09:00:30Z") },
            { id: 267, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "An incomplete follow-up: the report was reviewed.", timestamp: new Date("2023-04-17T14:54:46Z") },
            { id: 268, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The invoice was confirmed after an automatic check.", timestamp: new Date("2023-09-27T20:47:10Z") },
            { id: 269, sensor_reading_id: 520, anomaly_type: "temperature spike", description: "Flagged as partial. Support cancelled the item.", timestamp: new Date("2023-02-22T20:04:28Z") },
            { id: 270, sensor_reading_id: 31, anomaly_type: "temperature spike", description: "The transfer was confirmed after a duplicate check.", timestamp: new Date("2023-10-09T18:40:09Z") },
            { id: 271, sensor_reading_id: 362, anomaly_type: "temperature spike", description: "A routine delivery was processed the same day.", timestamp: new Date("2023-06-05T14:32:18Z") },
            { id: 272, sensor_reading_id: 514, anomaly_type: "temperature spike", description: "The team confirmed the details and the document was closed.", timestamp: new Date("2023-08-02T01:26:25Z") },
            { id: 273, sensor_reading_id: 198, anomaly_type: "high vibration", description: "The request was cancelled — manual case, no further action.", timestamp: new Date("2023-04-05T17:31:27Z") },
            { id: 274, sensor_reading_id: 419, anomaly_type: "temperature spike", description: "The courier reported a manual issue; the payment was closed.", timestamp: new Date("2023-12-06T18:04:04Z") },
            { id: 275, sensor_reading_id: 232, anomaly_type: "temperature spike", description: "A routine follow-up: the refund was reopened.", timestamp: new Date("2023-01-13T07:08:37Z") },
            { id: 276, sensor_reading_id: 69, anomaly_type: "temperature spike", description: "An automatic follow-up: the payment was approved.", timestamp: new Date("2023-08-12T05:44:51Z") },
            { id: 277, sensor_reading_id: 435, anomaly_type: "low throughput", description: "The reviewer asked for a change and the account was resolved.", timestamp: new Date("2023-04-06T11:33:18Z") },
            { id: 278, sensor_reading_id: 193, anomaly_type: "temperature spike", description: "The courier reported an unusual issue; the request was rescheduled.", timestamp: new Date("2023-12-20T06:33:40Z") },
            { id: 279, sensor_reading_id: 162, anomaly_type: "high vibration", description: "The order was delayed after a manual check.", timestamp: new Date("2023-09-27T21:18:19Z") },
            { id: 280, sensor_reading_id: 113, anomaly_type: "high vibration", description: "A standard delivery was cancelled the same day.", timestamp: new Date("2023-01-10T14:30:03Z") },
            { id: 281, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "The courier asked for a change and the item was approved.", timestamp: new Date("2023-08-11T17:39:01Z") },
            { id: 282, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "A duplicate shipment was updated the same day.", timestamp: new Date("2023-08-22T19:19:59Z") },
            { id: 283, sensor_reading_id: 52, anomaly_type: "temperature spike", description: "A repeat follow-up: the record was confirmed.", timestamp: new Date("2023-06-17T11:59:43Z") },
            { id: 284, sensor_reading_id: 231, anomaly_type: "low throughput", description: "The supplier reported a late issue; the appointment was resolved.", timestamp: new Date("2023-05-14T06:31:04Z") },
            { id: 285, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "An automatic item was confirmed the same day.", timestamp: new Date("2023-12-03T21:56:28Z") },
            { id: 286, sensor_reading_id: 180, anomaly_type: "temperature spike", description: "The booking was refunded following a standard review.", timestamp: new Date("2023-06-14T22:14:02Z") },
            { id: 287, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "The supplier asked for a change and the item was completed.", timestamp: new Date("2023-02-24T15:36:01Z") },
            { id: 288, sensor_reading_id: 216, anomaly_type: "temperature spike", description: "The customer asked for a change and the claim was approved.", timestamp: new Date("2023-12-23T20:17:16Z") },
            { id: 289, sensor_reading_id: 25, anomaly_type: "temperature spike", description: "The team asked for a change and the refund was rescheduled.", timestamp: new Date("2023-06-30T07:23:06Z") },
            { id: 290, sensor_reading_id: 476, anomaly_type: "high vibration", description: "An operator asked for a change and the item was confirmed.", timestamp: new Date("2023-05-23T21:39:25Z") },
            { id: 291, sensor_reading_id: 34, anomaly_type: "low throughput", description: "An incomplete booking was escalated the same day.", timestamp: new Date("2023-07-29T13:31:06Z") },
            { id: 292, sensor_reading_id: 73, anomaly_type: "high vibration", description: "The shipment was reviewed following a standard review.", timestamp: new Date("2023-05-06T08:56:12Z") },
            { id: 293, sensor_reading_id: 118, anomaly_type: "temperature spike", description: "An automatic follow-up: the ticket was completed.", timestamp: new Date("2023-07-14T10:02:37Z") },
            { id: 294, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "Flagged as late. The supplier escalated the claim.", timestamp: new Date("2023-03-21T14:03:52Z") },
            { id: 295, sensor_reading_id: 185, anomaly_type: "temperature spike", description: "No response from an operator, so the order was resolved.", timestamp: new Date("2023-07-12T17:53:25Z") },
            { id: 296, sensor_reading_id: 369, anomaly_type: "temperature spike", description: "The booking was completed — minor case, no further action.", timestamp: new Date("2023-03-10T23:23:34Z") },
            { id: 297, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "The delivery was resolved — standard case, no further action.", timestamp: new Date("2023-06-23T08:47:26Z") },
            { id: 298, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "An incomplete report was replaced the same day.", timestamp: new Date("2023-04-20T02:08:03Z") },
            { id: 299, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "The transfer was completed after a routine check.", timestamp: new Date("2023-11-29T06:11:21Z") },
            { id: 300, sensor_reading_id: 205, anomaly_type: "temperature spike", description: "The booking was approved — automatic case, no further action.", timestamp: new Date("2023-03-25T08:10:42Z") },
            { id: 301, sensor_reading_id: 290, anomaly_type: "temperature spike", description: "The delivery was confirmed after a manual check.", timestamp: new Date("2023-10-24T12:50:46Z") },
            { id: 302, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "The team reported a minor issue; the account was confirmed.", timestamp: new Date("2023-12-13T21:38:28Z") },
            { id: 303, sensor_reading_id: 370, anomaly_type: "high vibration", description: "The refund was confirmed — urgent case, no further action.", timestamp: new Date("2023-04-24T23:40:03Z") },
            { id: 304, sensor_reading_id: 105, anomaly_type: "high vibration", description: "An automatic claim was refunded the same day.", timestamp: new Date("2023-08-04T20:04:51Z") },
            { id: 305, sensor_reading_id: 169, anomaly_type: "temperature spike", description: "The booking was approved following a routine review.", timestamp: new Date("2023-09-10T07:37:07Z") },
            { id: 306, sensor_reading_id: 51, anomaly_type: "high vibration", description: "The document was approved after a minor check.", timestamp: new Date("2023-09-28T06:06:16Z") },
            { id: 307, sensor_reading_id: 543, anomaly_type: "temperature spike", description: "A routine follow-up: the delivery was rejected.", timestamp: new Date("2023-01-09T17:48:14Z") },
            { id: 308, sensor_reading_id: 390, anomaly_type: "low throughput", description: "Flagged as partial. Support cancelled the account.", timestamp: new Date("2023-06-23T12:27:09Z") },
            { id: 309, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "The order was escalated — automatic case, no further action.", timestamp: new Date("2023-08-19T19:19:10Z") },
            { id: 310, sensor_reading_id: 169, anomaly_type: "low throughput", description: "The appointment was processed — duplicate case, no further action.", timestamp: new Date("2023-06-22T20:11:01Z") },
            { id: 311, sensor_reading_id: 104, anomaly_type: "low throughput", description: "No response from an operator, so the claim was completed.", timestamp: new Date("2023-03-23T02:39:00Z") },
            { id: 312, sensor_reading_id: 211, anomaly_type: "temperature spike", description: "An operator asked for a change and the request was closed.", timestamp: new Date("2023-08-03T05:12:32Z") },
            { id: 313, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "A late follow-up: the refund was rescheduled.", timestamp: new Date("2023-12-19T14:51:45Z") },
            { id: 314, sensor_reading_id: 499, anomaly_type: "high vibration", description: "The document was resolved following a standard review.", timestamp: new Date("2023-04-22T08:27:27Z") },
            { id: 315, sensor_reading_id: 202, anomaly_type: "temperature spike", description: "The session was rejected after a minor check.", timestamp: new Date("2023-03-14T12:45:14Z") },
            { id: 316, sensor_reading_id: 326, anomaly_type: "temperature spike", description: "The item was refunded following a routine review.", timestamp: new Date("2023-12-30T02:48:30Z") },
            { id: 317, sensor_reading_id: 211, anomaly_type: "temperature spike", description: "The courier reported a repeat issue; the shipment was replaced.", timestamp: new Date("2023-09-29T11:35:43Z") },
            { id: 318, sensor_reading_id: 175, anomaly_type: "high vibration", description: "A duplicate follow-up: the delivery was processed.", timestamp: new Date("2023-11-28T12:46:24Z") },
            { id: 319, sensor_reading_id: 543, anomaly_type: "high vibration", description: "An operator confirmed the details and the transfer was replaced.", timestamp: new Date("2023-11-30T12:14:14Z") },
            { id: 320, sensor_reading_id: 128, anomaly_type: "low throughput", description: "The supplier reported a minor issue; the session was updated.", timestamp: new Date("2023-10-30T07:55:32Z") },
            { id: 321, sensor_reading_id: 34, anomaly_type: "temperature spike", description: "Flagged as repeat. An operator closed the session.", timestamp: new Date("2023-03-02T12:06:20Z") },
            { id: 322, sensor_reading_id: 272, anomaly_type: "temperature spike", description: "A routine ticket was approved the same day.", timestamp: new Date("2023-11-08T19:58:28Z") },
            { id: 323, sensor_reading_id: 310, anomaly_type: "temperature spike", description: "The team asked for a change and the session was replaced.", timestamp: new Date("2023-02-10T15:48:39Z") },
            { id: 324, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "The delivery was approved — unusual case, no further action.", timestamp: new Date("2023-05-18T18:54:44Z") },
            { id: 325, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "An incomplete follow-up: the report was refunded.", timestamp: new Date("2023-07-11T18:57:24Z") },
            { id: 326, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "An operator asked for a change and the booking was rescheduled.", timestamp: new Date("2023-12-29T11:50:10Z") },
            { id: 327, sensor_reading_id: 227, anomaly_type: "temperature spike", description: "The booking was resolved following a late review.", timestamp: new Date("2023-02-12T08:41:54Z") },
            { id: 328, sensor_reading_id: 232, anomaly_type: "temperature spike", description: "The claim was cancelled after a repeat check.", timestamp: new Date("2023-01-13T12:39:11Z") },
            { id: 329, sensor_reading_id: 520, anomaly_type: "high vibration", description: "The reviewer confirmed the details and the shipment was cancelled.", timestamp: new Date("2023-08-29T04:57:24Z") },
            { id: 330, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "The shipment was resolved after an urgent check.", timestamp: new Date("2023-11-14T05:20:00Z") },
            { id: 331, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "Flagged as urgent. The team refunded the account.", timestamp: new Date("2023-07-22T22:04:37Z") },
            { id: 332, sensor_reading_id: 402, anomaly_type: "low throughput", description: "No response from an operator, so the refund was processed.", timestamp: new Date("2023-07-03T15:21:33Z") },
            { id: 333, sensor_reading_id: 68, anomaly_type: "temperature spike", description: "A routine invoice was resolved the same day.", timestamp: new Date("2023-10-20T12:00:09Z") },
            { id: 334, sensor_reading_id: 520, anomaly_type: "temperature spike", description: "A routine record was approved the same day.", timestamp: new Date("2023-07-15T23:02:21Z") },
            { id: 335, sensor_reading_id: 343, anomaly_type: "temperature spike", description: "The booking was approved following an urgent review.", timestamp: new Date("2023-09-07T18:30:24Z") },
            { id: 336, sensor_reading_id: 22, anomaly_type: "temperature spike", description: "The delivery was closed following an incomplete review.", timestamp: new Date("2023-07-28T16:02:11Z") },
            { id: 337, sensor_reading_id: 375, anomaly_type: "high vibration", description: "Flagged as automatic. The supplier processed the claim.", timestamp: new Date("2023-05-01T14:43:44Z") },
            { id: 338, sensor_reading_id: 101, anomaly_type: "temperature spike", description: "The record was reopened following a late review.", timestamp: new Date("2023-02-21T03:27:55Z") },
            { id: 339, sensor_reading_id: 22, anomaly_type: "temperature spike", description: "The team confirmed the details and the session was cancelled.", timestamp: new Date("2023-03-27T07:48:35Z") },
            { id: 340, sensor_reading_id: 36, anomaly_type: "high vibration", description: "An operator confirmed the details and the booking was updated.", timestamp: new Date("2023-04-28T19:02:15Z") },
            { id: 341, sensor_reading_id: 101, anomaly_type: "high vibration", description: "The order was cancelled following a duplicate review.", timestamp: new Date("2023-08-14T20:40:24Z") },
            { id: 342, sensor_reading_id: 317, anomaly_type: "temperature spike", description: "The team confirmed the details and the appointment was escalated.", timestamp: new Date("2023-05-27T01:38:54Z") },
            { id: 343, sensor_reading_id: 277, anomaly_type: "temperature spike", description: "A partial follow-up: the delivery was replaced.", timestamp: new Date("2023-06-25T23:57:52Z") },
            { id: 344, sensor_reading_id: 61, anomaly_type: "temperature spike", description: "The invoice was cancelled following an unusual review.", timestamp: new Date("2023-09-11T04:47:08Z") },
            { id: 345, sensor_reading_id: 142, anomaly_type: "high vibration", description: "A partial follow-up: the request was reviewed.", timestamp: new Date("2023-04-18T11:12:31Z") },
            { id: 346, sensor_reading_id: 249, anomaly_type: "high vibration", description: "A routine claim was replaced the same day.", timestamp: new Date("2023-03-03T10:42:10Z") },
            { id: 347, sensor_reading_id: 110, anomaly_type: "temperature spike", description: "Support reported a minor issue; the invoice was approved.", timestamp: new Date("2023-09-16T01:50:46Z") },
            { id: 348, sensor_reading_id: 88, anomaly_type: "temperature spike", description: "An operator reported a routine issue; the report was approved.", timestamp: new Date("2023-07-06T09:17:27Z") },
            { id: 349, sensor_reading_id: 346, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the shipment was approved.", timestamp: new Date("2023-01-13T13:46:42Z") },
            { id: 350, sensor_reading_id: 189, anomaly_type: "temperature spike", description: "The account owner asked for a change and the account was rejected.", timestamp: new Date("2023-04-18T13:44:06Z") },
            { id: 351, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "Flagged as repeat. The account owner delayed the refund.", timestamp: new Date("2023-11-15T10:04:14Z") },
            { id: 352, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "Flagged as manual. The customer processed the ticket.", timestamp: new Date("2023-07-22T02:10:50Z") },
            { id: 353, sensor_reading_id: 117, anomaly_type: "temperature spike", description: "The ticket was processed after an unusual check.", timestamp: new Date("2023-02-28T03:14:16Z") },
            { id: 354, sensor_reading_id: 350, anomaly_type: "high vibration", description: "The appointment was refunded — late case, no further action.", timestamp: new Date("2023-04-24T17:51:00Z") },
            { id: 355, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "The booking was delayed after a minor check.", timestamp: new Date("2023-02-05T21:00:05Z") },
            { id: 356, sensor_reading_id: 188, anomaly_type: "temperature spike", description: "The supplier asked for a change and the ticket was rescheduled.", timestamp: new Date("2023-09-20T09:58:58Z") },
            { id: 357, sensor_reading_id: 296, anomaly_type: "temperature spike", description: "No response from the team, so the refund was replaced.", timestamp: new Date("2023-12-07T17:21:16Z") },
            { id: 358, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "The booking was approved — urgent case, no further action.", timestamp: new Date("2023-02-06T16:44:26Z") },
            { id: 359, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "The customer asked for a change and the record was updated.", timestamp: new Date("2023-05-27T16:03:20Z") },
            { id: 360, sensor_reading_id: 132, anomaly_type: "temperature spike", description: "A routine order was cancelled the same day.", timestamp: new Date("2023-06-28T10:27:24Z") },
            { id: 361, sensor_reading_id: 131, anomaly_type: "temperature spike", description: "An operator confirmed the details and the order was updated.", timestamp: new Date("2023-11-25T07:44:56Z") },
            { id: 362, sensor_reading_id: 422, anomaly_type: "temperature spike", description: "An unusual request was closed the same day.", timestamp: new Date("2023-09-03T21:57:03Z") },
            { id: 363, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "The reviewer reported a late issue; the item was rejected.", timestamp: new Date("2023-06-22T18:54:32Z") },
            { id: 364, sensor_reading_id: 378, anomaly_type: "low throughput", description: "A routine follow-up: the record was processed.", timestamp: new Date("2023-06-07T16:35:38Z") },
            { id: 365, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "The customer reported a repeat issue; the item was delayed.", timestamp: new Date("2023-10-27T00:19:29Z") },
            { id: 366, sensor_reading_id: 533, anomaly_type: "temperature spike", description: "An automatic follow-up: the report was updated.", timestamp: new Date("2023-03-06T07:00:03Z") },
            { id: 367, sensor_reading_id: 171, anomaly_type: "temperature spike", description: "The supplier reported a minor issue; the record was closed.", timestamp: new Date("2023-03-13T05:11:40Z") },
            { id: 368, sensor_reading_id: 108, anomaly_type: "temperature spike", description: "No response from an operator, so the claim was escalated.", timestamp: new Date("2023-05-21T06:50:13Z") },
            { id: 369, sensor_reading_id: 416, anomaly_type: "high vibration", description: "The report was resolved after a routine check.", timestamp: new Date("2023-01-15T15:55:06Z") },
            { id: 370, sensor_reading_id: 416, anomaly_type: "high vibration", description: "No response from the reviewer, so the payment was closed.", timestamp: new Date("2023-09-30T00:27:49Z") },
            { id: 371, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "No response from the team, so the document was approved.", timestamp: new Date("2023-02-09T14:21:07Z") },
            { id: 372, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "Flagged as manual. The customer updated the refund.", timestamp: new Date("2023-09-07T11:34:08Z") },
            { id: 373, sensor_reading_id: 84, anomaly_type: "temperature spike", description: "The record was completed following a standard review.", timestamp: new Date("2023-10-14T04:10:52Z") },
            { id: 374, sensor_reading_id: 190, anomaly_type: "temperature spike", description: "The invoice was reopened after an automatic check.", timestamp: new Date("2023-04-03T16:41:49Z") },
            { id: 375, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "No response from support, so the ticket was updated.", timestamp: new Date("2023-04-12T14:53:37Z") },
            { id: 376, sensor_reading_id: 378, anomaly_type: "high vibration", description: "A partial follow-up: the payment was reviewed.", timestamp: new Date("2023-01-11T19:39:27Z") },
            { id: 377, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "The appointment was rescheduled — automatic case, no further action.", timestamp: new Date("2023-12-28T14:20:55Z") },
            { id: 378, sensor_reading_id: 435, anomaly_type: "temperature spike", description: "Flagged as automatic. The team reviewed the request.", timestamp: new Date("2023-09-11T10:49:12Z") },
            { id: 379, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "The team reported a standard issue; the payment was refunded.", timestamp: new Date("2023-07-01T03:09:32Z") },
            { id: 380, sensor_reading_id: 234, anomaly_type: "temperature spike", description: "A minor invoice was resolved the same day.", timestamp: new Date("2023-05-27T16:41:19Z") },
            { id: 381, sensor_reading_id: 111, anomaly_type: "high vibration", description: "The team confirmed the details and the claim was reviewed.", timestamp: new Date("2023-07-03T21:20:09Z") },
            { id: 382, sensor_reading_id: 507, anomaly_type: "high vibration", description: "No response from support, so the shipment was delayed.", timestamp: new Date("2023-05-31T11:49:42Z") },
            { id: 383, sensor_reading_id: 83, anomaly_type: "temperature spike", description: "The session was processed following a standard review.", timestamp: new Date("2023-05-02T13:35:15Z") },
            { id: 384, sensor_reading_id: 399, anomaly_type: "high vibration", description: "No response from the customer, so the report was completed.", timestamp: new Date("2023-12-14T09:49:03Z") },
            { id: 385, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "Support confirmed the details and the shipment was reopened.", timestamp: new Date("2023-03-16T19:03:27Z") },
            { id: 386, sensor_reading_id: 445, anomaly_type: "high vibration", description: "No response from the account owner, so the document was confirmed.", timestamp: new Date("2023-03-27T10:53:26Z") },
            { id: 387, sensor_reading_id: 534, anomaly_type: "high vibration", description: "The invoice was replaced — manual case, no further action.", timestamp: new Date("2023-01-27T12:27:59Z") },
            { id: 388, sensor_reading_id: 263, anomaly_type: "temperature spike", description: "The item was closed after an automatic check.", timestamp: new Date("2023-06-05T03:36:10Z") },
            { id: 389, sensor_reading_id: 148, anomaly_type: "temperature spike", description: "The report was cancelled following an incomplete review.", timestamp: new Date("2023-08-19T12:19:12Z") },
            { id: 390, sensor_reading_id: 225, anomaly_type: "temperature spike", description: "A repeat record was confirmed the same day.", timestamp: new Date("2023-12-02T14:10:57Z") },
            { id: 391, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "A repeat report was replaced the same day.", timestamp: new Date("2023-12-17T00:52:22Z") },
            { id: 392, sensor_reading_id: 416, anomaly_type: "high vibration", description: "No response from support, so the shipment was closed.", timestamp: new Date("2023-07-17T20:16:27Z") },
            { id: 393, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "An operator reported an automatic issue; the item was updated.", timestamp: new Date("2023-04-11T12:55:06Z") },
            { id: 394, sensor_reading_id: 340, anomaly_type: "temperature spike", description: "The report was confirmed following a standard review.", timestamp: new Date("2023-09-26T12:07:47Z") },
            { id: 395, sensor_reading_id: 235, anomaly_type: "temperature spike", description: "The customer confirmed the details and the shipment was closed.", timestamp: new Date("2023-08-07T21:42:46Z") },
            { id: 396, sensor_reading_id: 272, anomaly_type: "temperature spike", description: "The supplier reported a manual issue; the item was reopened.", timestamp: new Date("2023-09-27T21:28:22Z") },
            { id: 397, sensor_reading_id: 118, anomaly_type: "temperature spike", description: "An automatic follow-up: the order was processed.", timestamp: new Date("2023-08-04T10:57:58Z") },
            { id: 398, sensor_reading_id: 307, anomaly_type: "low throughput", description: "A duplicate follow-up: the delivery was resolved.", timestamp: new Date("2023-02-23T21:57:37Z") },
            { id: 399, sensor_reading_id: 245, anomaly_type: "high vibration", description: "Flagged as unusual. An operator completed the order.", timestamp: new Date("2023-08-02T17:17:04Z") },
            { id: 400, sensor_reading_id: 440, anomaly_type: "temperature spike", description: "An operator asked for a change and the transfer was processed.", timestamp: new Date("2023-07-12T11:04:56Z") },
            { id: 401, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "The item was processed following a repeat review.", timestamp: new Date("2023-12-27T03:58:36Z") },
            { id: 402, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The supplier reported an automatic issue; the account was updated.", timestamp: new Date("2023-06-24T04:21:43Z") },
            { id: 403, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the booking was approved.", timestamp: new Date("2023-02-17T08:08:40Z") },
            { id: 404, sensor_reading_id: 286, anomaly_type: "high vibration", description: "A minor follow-up: the ticket was rejected.", timestamp: new Date("2023-04-20T10:13:54Z") },
            { id: 405, sensor_reading_id: 466, anomaly_type: "temperature spike", description: "Flagged as routine. Support rejected the shipment.", timestamp: new Date("2023-02-08T16:39:22Z") },
            { id: 406, sensor_reading_id: 143, anomaly_type: "temperature spike", description: "The team asked for a change and the appointment was delayed.", timestamp: new Date("2023-01-21T21:30:23Z") },
            { id: 407, sensor_reading_id: 273, anomaly_type: "temperature spike", description: "Flagged as routine. The team processed the delivery.", timestamp: new Date("2023-05-07T07:19:55Z") },
            { id: 408, sensor_reading_id: 136, anomaly_type: "temperature spike", description: "The ticket was reviewed following an unusual review.", timestamp: new Date("2023-11-29T20:52:01Z") },
            { id: 409, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "The payment was rescheduled after an unusual check.", timestamp: new Date("2023-10-23T17:21:20Z") },
            { id: 410, sensor_reading_id: 455, anomaly_type: "high vibration", description: "Flagged as automatic. The customer reopened the transfer.", timestamp: new Date("2023-11-30T00:37:04Z") },
            { id: 411, sensor_reading_id: 140, anomaly_type: "temperature spike", description: "The record was cancelled after an incomplete check.", timestamp: new Date("2023-02-15T19:56:56Z") },
            { id: 412, sensor_reading_id: 416, anomaly_type: "temperature spike", description: "A routine delivery was completed the same day.", timestamp: new Date("2023-03-25T12:39:06Z") },
            { id: 413, sensor_reading_id: 162, anomaly_type: "temperature spike", description: "The account owner reported a repeat issue; the invoice was rescheduled.", timestamp: new Date("2023-09-25T23:04:44Z") },
            { id: 414, sensor_reading_id: 187, anomaly_type: "low throughput", description: "A minor follow-up: the delivery was reviewed.", timestamp: new Date("2023-02-17T05:41:46Z") },
            { id: 415, sensor_reading_id: 470, anomaly_type: "low throughput", description: "Flagged as incomplete. The customer rescheduled the request.", timestamp: new Date("2023-02-07T22:32:57Z") },
            { id: 416, sensor_reading_id: 232, anomaly_type: "low throughput", description: "The session was reopened after a late check.", timestamp: new Date("2023-04-19T15:07:16Z") },
            { id: 417, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "An unusual follow-up: the account was cancelled.", timestamp: new Date("2023-12-10T00:33:57Z") },
            { id: 418, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "A manual follow-up: the record was refunded.", timestamp: new Date("2023-01-02T14:09:23Z") },
            { id: 419, sensor_reading_id: 277, anomaly_type: "temperature spike", description: "No response from an operator, so the booking was completed.", timestamp: new Date("2023-10-14T22:41:22Z") },
            { id: 420, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "A duplicate follow-up: the refund was replaced.", timestamp: new Date("2023-06-18T17:54:33Z") },
            { id: 421, sensor_reading_id: 346, anomaly_type: "temperature spike", description: "No response from the account owner, so the session was refunded.", timestamp: new Date("2023-01-03T00:00:00Z") },
            { id: 422, sensor_reading_id: 260, anomaly_type: "high vibration", description: "Flagged as partial. The reviewer processed the document.", timestamp: new Date("2023-09-07T08:44:44Z") },
            { id: 423, sensor_reading_id: 307, anomaly_type: "temperature spike", description: "An unusual follow-up: the delivery was rejected.", timestamp: new Date("2023-03-17T21:18:18Z") },
            { id: 424, sensor_reading_id: 277, anomaly_type: "temperature spike", description: "The refund was rescheduled — manual case, no further action.", timestamp: new Date("2023-07-04T04:49:36Z") },
            { id: 425, sensor_reading_id: 401, anomaly_type: "high vibration", description: "The reviewer asked for a change and the ticket was delayed.", timestamp: new Date("2023-01-10T03:08:50Z") },
            { id: 426, sensor_reading_id: 460, anomaly_type: "low throughput", description: "The booking was approved following a late review.", timestamp: new Date("2023-09-30T16:37:43Z") },
            { id: 427, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "The reviewer reported a standard issue; the booking was replaced.", timestamp: new Date("2023-04-03T01:07:59Z") },
            { id: 428, sensor_reading_id: 133, anomaly_type: "temperature spike", description: "The ticket was completed — manual case, no further action.", timestamp: new Date("2023-05-29T11:00:25Z") },
            { id: 429, sensor_reading_id: 146, anomaly_type: "high vibration", description: "The account was processed following a minor review.", timestamp: new Date("2023-07-19T19:13:42Z") },
            { id: 430, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "The session was completed — repeat case, no further action.", timestamp: new Date("2023-02-19T02:57:51Z") },
            { id: 431, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "No response from the team, so the invoice was delayed.", timestamp: new Date("2023-12-17T17:16:54Z") },
            { id: 432, sensor_reading_id: 305, anomaly_type: "low throughput", description: "Flagged as unusual. The supplier reopened the refund.", timestamp: new Date("2023-02-16T06:11:45Z") },
            { id: 433, sensor_reading_id: 113, anomaly_type: "temperature spike", description: "The customer confirmed the details and the booking was approved.", timestamp: new Date("2023-06-12T21:01:08Z") },
            { id: 434, sensor_reading_id: 399, anomaly_type: "high vibration", description: "The courier reported an automatic issue; the document was confirmed.", timestamp: new Date("2023-04-01T18:49:14Z") },
            { id: 435, sensor_reading_id: 430, anomaly_type: "low throughput", description: "No response from the reviewer, so the claim was resolved.", timestamp: new Date("2023-12-02T07:37:38Z") },
            { id: 436, sensor_reading_id: 339, anomaly_type: "temperature spike", description: "The supplier asked for a change and the session was rescheduled.", timestamp: new Date("2023-10-31T04:55:40Z") },
            { id: 437, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "The booking was delayed — manual case, no further action.", timestamp: new Date("2023-03-26T09:53:56Z") },
            { id: 438, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "The appointment was escalated after a duplicate check.", timestamp: new Date("2023-01-12T10:35:22Z") },
            { id: 439, sensor_reading_id: 417, anomaly_type: "temperature spike", description: "The account owner reported an urgent issue; the account was replaced.", timestamp: new Date("2023-05-24T21:01:14Z") },
            { id: 440, sensor_reading_id: 271, anomaly_type: "low throughput", description: "A minor report was reopened the same day.", timestamp: new Date("2023-08-05T23:11:20Z") },
            { id: 441, sensor_reading_id: 140, anomaly_type: "low throughput", description: "An operator asked for a change and the booking was cancelled.", timestamp: new Date("2023-08-17T02:08:29Z") },
            { id: 442, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "The appointment was approved — automatic case, no further action.", timestamp: new Date("2023-07-06T14:58:09Z") },
            { id: 443, sensor_reading_id: 351, anomaly_type: "high vibration", description: "An operator reported an unusual issue; the report was delayed.", timestamp: new Date("2023-07-23T01:57:20Z") },
            { id: 444, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "The request was reopened — urgent case, no further action.", timestamp: new Date("2023-11-05T22:38:46Z") },
            { id: 445, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the appointment was reviewed.", timestamp: new Date("2023-06-11T10:18:11Z") },
            { id: 446, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "The claim was rescheduled — unusual case, no further action.", timestamp: new Date("2023-08-02T05:05:28Z") },
            { id: 447, sensor_reading_id: 231, anomaly_type: "temperature spike", description: "The supplier reported an unusual issue; the payment was closed.", timestamp: new Date("2023-02-02T10:50:38Z") },
            { id: 448, sensor_reading_id: 235, anomaly_type: "high vibration", description: "The account owner asked for a change and the transfer was processed.", timestamp: new Date("2023-06-10T07:28:36Z") },
            { id: 449, sensor_reading_id: 278, anomaly_type: "low throughput", description: "The item was completed following a manual review.", timestamp: new Date("2023-12-17T20:26:46Z") },
            { id: 450, sensor_reading_id: 227, anomaly_type: "temperature spike", description: "A duplicate follow-up: the delivery was replaced.", timestamp: new Date("2023-04-03T20:21:20Z") },
            { id: 451, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "Flagged as repeat. Support completed the shipment.", timestamp: new Date("2023-05-06T00:58:19Z") },
            { id: 452, sensor_reading_id: 363, anomaly_type: "temperature spike", description: "An unusual refund was rejected the same day.", timestamp: new Date("2023-07-30T13:05:12Z") },
            { id: 453, sensor_reading_id: 121, anomaly_type: "low throughput", description: "The courier asked for a change and the request was resolved.", timestamp: new Date("2023-03-31T23:33:18Z") },
            { id: 454, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "The supplier reported an incomplete issue; the invoice was refunded.", timestamp: new Date("2023-09-09T20:03:11Z") },
            { id: 455, sensor_reading_id: 552, anomaly_type: "temperature spike", description: "An urgent appointment was approved the same day.", timestamp: new Date("2023-08-08T08:26:24Z") },
            { id: 456, sensor_reading_id: 153, anomaly_type: "high vibration", description: "The team reported a standard issue; the order was approved.", timestamp: new Date("2023-07-15T04:33:54Z") },
            { id: 457, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "An operator asked for a change and the delivery was processed.", timestamp: new Date("2023-01-08T05:28:31Z") },
            { id: 458, sensor_reading_id: 194, anomaly_type: "temperature spike", description: "The order was confirmed — routine case, no further action.", timestamp: new Date("2023-08-18T00:52:36Z") },
            { id: 459, sensor_reading_id: 31, anomaly_type: "temperature spike", description: "The appointment was completed following an incomplete review.", timestamp: new Date("2023-10-23T04:26:26Z") },
            { id: 460, sensor_reading_id: 83, anomaly_type: "low throughput", description: "An operator asked for a change and the claim was closed.", timestamp: new Date("2023-02-04T17:59:07Z") },
            { id: 461, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "Support reported a routine issue; the item was processed.", timestamp: new Date("2023-12-12T20:17:47Z") },
            { id: 462, sensor_reading_id: 74, anomaly_type: "temperature spike", description: "An incomplete order was rejected the same day.", timestamp: new Date("2023-11-22T06:40:31Z") },
            { id: 463, sensor_reading_id: 242, anomaly_type: "temperature spike", description: "The claim was resolved following an urgent review.", timestamp: new Date("2023-08-13T17:37:23Z") },
            { id: 464, sensor_reading_id: 91, anomaly_type: "high vibration", description: "The courier asked for a change and the transfer was resolved.", timestamp: new Date("2023-11-23T18:52:22Z") },
            { id: 465, sensor_reading_id: 524, anomaly_type: "high vibration", description: "Support reported an incomplete issue; the record was refunded.", timestamp: new Date("2023-06-25T02:37:21Z") },
            { id: 466, sensor_reading_id: 144, anomaly_type: "temperature spike", description: "Support confirmed the details and the account was closed.", timestamp: new Date("2023-01-12T03:06:52Z") },
            { id: 467, sensor_reading_id: 40, anomaly_type: "temperature spike", description: "The record was updated following a standard review.", timestamp: new Date("2023-11-27T06:01:00Z") },
            { id: 468, sensor_reading_id: 383, anomaly_type: "temperature spike", description: "The ticket was replaced after a duplicate check.", timestamp: new Date("2023-01-06T16:02:31Z") },
            { id: 469, sensor_reading_id: 469, anomaly_type: "high vibration", description: "The ticket was closed following a late review.", timestamp: new Date("2023-02-15T19:05:57Z") },
            { id: 470, sensor_reading_id: 40, anomaly_type: "temperature spike", description: "Flagged as standard. The reviewer replaced the session.", timestamp: new Date("2023-02-06T10:51:03Z") },
            { id: 471, sensor_reading_id: 64, anomaly_type: "temperature spike", description: "A partial follow-up: the payment was reviewed.", timestamp: new Date("2023-02-26T06:58:16Z") },
            { id: 472, sensor_reading_id: 470, anomaly_type: "temperature spike", description: "The account owner asked for a change and the shipment was delayed.", timestamp: new Date("2023-12-30T11:34:58Z") },
            { id: 473, sensor_reading_id: 418, anomaly_type: "temperature spike", description: "A late follow-up: the session was approved.", timestamp: new Date("2023-01-14T16:06:47Z") },
            { id: 474, sensor_reading_id: 385, anomaly_type: "low throughput", description: "A duplicate invoice was reviewed the same day.", timestamp: new Date("2023-10-14T18:18:35Z") },
            { id: 475, sensor_reading_id: 240, anomaly_type: "temperature spike", description: "Flagged as standard. The reviewer updated the refund.", timestamp: new Date("2023-06-19T11:43:35Z") },
            { id: 476, sensor_reading_id: 260, anomaly_type: "temperature spike", description: "The refund was replaced following an urgent review.", timestamp: new Date("2023-06-24T03:44:00Z") },
            { id: 477, sensor_reading_id: 373, anomaly_type: "temperature spike", description: "A manual follow-up: the booking was reopened.", timestamp: new Date("2023-10-07T05:13:14Z") },
            { id: 478, sensor_reading_id: 499, anomaly_type: "temperature spike", description: "The team confirmed the details and the account was closed.", timestamp: new Date("2023-09-06T18:46:52Z") },
            { id: 479, sensor_reading_id: 121, anomaly_type: "high vibration", description: "The order was processed — automatic case, no further action.", timestamp: new Date("2023-10-15T10:32:16Z") },
            { id: 480, sensor_reading_id: 105, anomaly_type: "high vibration", description: "The transfer was resolved — automatic case, no further action.", timestamp: new Date("2023-07-27T20:42:20Z") },
            { id: 481, sensor_reading_id: 160, anomaly_type: "temperature spike", description: "A partial request was reviewed the same day.", timestamp: new Date("2023-04-25T08:17:08Z") },
            { id: 482, sensor_reading_id: 218, anomaly_type: "high vibration", description: "The courier confirmed the details and the invoice was cancelled.", timestamp: new Date("2023-01-04T21:44:08Z") },
            { id: 483, sensor_reading_id: 121, anomaly_type: "high vibration", description: "The record was reviewed following a routine review.", timestamp: new Date("2023-07-16T03:25:43Z") },
            { id: 484, sensor_reading_id: 422, anomaly_type: "temperature spike", description: "An operator asked for a change and the booking was confirmed.", timestamp: new Date("2023-06-06T11:30:01Z") },
            { id: 485, sensor_reading_id: 54, anomaly_type: "high vibration", description: "Flagged as incomplete. An operator rejected the report.", timestamp: new Date("2023-01-10T17:20:09Z") },
            { id: 486, sensor_reading_id: 359, anomaly_type: "temperature spike", description: "A manual follow-up: the request was completed.", timestamp: new Date("2023-07-25T00:41:19Z") },
            { id: 487, sensor_reading_id: 188, anomaly_type: "temperature spike", description: "The account owner reported a routine issue; the shipment was reviewed.", timestamp: new Date("2023-05-15T06:18:10Z") },
            { id: 488, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "A manual item was reviewed the same day.", timestamp: new Date("2023-07-28T14:15:37Z") },
            { id: 489, sensor_reading_id: 151, anomaly_type: "temperature spike", description: "A partial shipment was reviewed the same day.", timestamp: new Date("2023-03-01T00:34:42Z") },
            { id: 490, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "An urgent transfer was resolved the same day.", timestamp: new Date("2023-07-31T21:13:41Z") },
            { id: 491, sensor_reading_id: 487, anomaly_type: "temperature spike", description: "No response from the reviewer, so the record was approved.", timestamp: new Date("2023-12-09T09:49:56Z") },
            { id: 492, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "The supplier reported a repeat issue; the claim was reopened.", timestamp: new Date("2023-08-15T20:38:50Z") },
            { id: 493, sensor_reading_id: 335, anomaly_type: "temperature spike", description: "The document was updated following a manual review.", timestamp: new Date("2023-06-25T06:45:20Z") },
            { id: 494, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "The document was completed after a manual check.", timestamp: new Date("2023-08-11T18:52:29Z") },
            { id: 495, sensor_reading_id: 442, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the ticket was rescheduled.", timestamp: new Date("2023-05-21T17:12:54Z") },
            { id: 496, sensor_reading_id: 361, anomaly_type: "temperature spike", description: "Flagged as partial. The team confirmed the report.", timestamp: new Date("2023-12-29T06:55:33Z") },
            { id: 497, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "A routine appointment was approved the same day.", timestamp: new Date("2023-08-05T09:32:16Z") },
            { id: 498, sensor_reading_id: 386, anomaly_type: "high vibration", description: "Support asked for a change and the refund was closed.", timestamp: new Date("2023-09-03T03:01:40Z") },
            { id: 499, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "The supplier reported a partial issue; the shipment was processed.", timestamp: new Date("2023-02-17T11:18:19Z") },
            { id: 500, sensor_reading_id: 346, anomaly_type: "temperature spike", description: "The shipment was reviewed — automatic case, no further action.", timestamp: new Date("2023-09-01T23:47:17Z") },
        ],
    });
    await prisma.anomalies.createMany({
        data: [
            { id: 501, sensor_reading_id: 350, anomaly_type: "temperature spike", description: "The report was replaced after a routine check.", timestamp: new Date("2023-02-13T05:30:32Z") },
            { id: 502, sensor_reading_id: 307, anomaly_type: "high vibration", description: "The team confirmed the details and the request was rejected.", timestamp: new Date("2023-05-06T22:50:18Z") },
            { id: 503, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "The transfer was escalated after an automatic check.", timestamp: new Date("2023-05-26T09:41:23Z") },
            { id: 504, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "The refund was cancelled — repeat case, no further action.", timestamp: new Date("2023-06-02T08:43:18Z") },
            { id: 505, sensor_reading_id: 172, anomaly_type: "high vibration", description: "A minor follow-up: the payment was cancelled.", timestamp: new Date("2023-01-24T02:19:08Z") },
            { id: 506, sensor_reading_id: 498, anomaly_type: "temperature spike", description: "The invoice was replaced — duplicate case, no further action.", timestamp: new Date("2023-09-01T17:25:35Z") },
            { id: 507, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "The account was closed following a routine review.", timestamp: new Date("2023-10-03T21:52:32Z") },
            { id: 508, sensor_reading_id: 326, anomaly_type: "low throughput", description: "The team asked for a change and the record was escalated.", timestamp: new Date("2023-12-08T15:20:03Z") },
            { id: 509, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "An incomplete payment was delayed the same day.", timestamp: new Date("2023-08-24T05:26:01Z") },
            { id: 510, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "A partial booking was reviewed the same day.", timestamp: new Date("2023-08-13T06:13:20Z") },
            { id: 511, sensor_reading_id: 423, anomaly_type: "high vibration", description: "Flagged as incomplete. Support reopened the invoice.", timestamp: new Date("2023-12-02T00:48:12Z") },
            { id: 512, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The item was refunded following a late review.", timestamp: new Date("2023-11-08T21:08:01Z") },
            { id: 513, sensor_reading_id: 461, anomaly_type: "temperature spike", description: "The team reported a repeat issue; the appointment was delayed.", timestamp: new Date("2023-05-23T03:14:22Z") },
            { id: 514, sensor_reading_id: 101, anomaly_type: "high vibration", description: "An operator reported a minor issue; the ticket was cancelled.", timestamp: new Date("2023-10-05T14:19:36Z") },
            { id: 515, sensor_reading_id: 346, anomaly_type: "high vibration", description: "The order was refunded following a partial review.", timestamp: new Date("2023-11-19T21:13:19Z") },
            { id: 516, sensor_reading_id: 250, anomaly_type: "temperature spike", description: "The appointment was escalated after an automatic check.", timestamp: new Date("2023-12-08T20:59:42Z") },
            { id: 517, sensor_reading_id: 5, anomaly_type: "high vibration", description: "A routine document was completed the same day.", timestamp: new Date("2023-02-22T10:23:40Z") },
            { id: 518, sensor_reading_id: 35, anomaly_type: "high vibration", description: "Flagged as unusual. The team rejected the shipment.", timestamp: new Date("2023-07-05T11:02:18Z") },
            { id: 519, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "The appointment was reopened after a partial check.", timestamp: new Date("2023-06-24T20:21:54Z") },
            { id: 520, sensor_reading_id: 307, anomaly_type: "high vibration", description: "The courier confirmed the details and the transfer was resolved.", timestamp: new Date("2023-02-24T05:30:35Z") },
            { id: 521, sensor_reading_id: 465, anomaly_type: "temperature spike", description: "No response from the reviewer, so the record was resolved.", timestamp: new Date("2023-06-27T10:33:34Z") },
            { id: 522, sensor_reading_id: 317, anomaly_type: "low throughput", description: "The session was updated after a manual check.", timestamp: new Date("2023-04-18T21:16:52Z") },
            { id: 523, sensor_reading_id: 218, anomaly_type: "temperature spike", description: "The shipment was delayed — late case, no further action.", timestamp: new Date("2023-06-18T22:54:06Z") },
            { id: 524, sensor_reading_id: 449, anomaly_type: "high vibration", description: "No response from an operator, so the session was cancelled.", timestamp: new Date("2023-06-15T23:33:44Z") },
            { id: 525, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "Flagged as duplicate. The team completed the invoice.", timestamp: new Date("2023-03-03T03:56:40Z") },
            { id: 526, sensor_reading_id: 248, anomaly_type: "temperature spike", description: "A duplicate order was confirmed the same day.", timestamp: new Date("2023-12-28T06:17:22Z") },
            { id: 527, sensor_reading_id: 471, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the delivery was reviewed.", timestamp: new Date("2023-12-28T05:04:35Z") },
            { id: 528, sensor_reading_id: 487, anomaly_type: "temperature spike", description: "The customer confirmed the details and the booking was processed.", timestamp: new Date("2023-08-31T20:08:23Z") },
            { id: 529, sensor_reading_id: 349, anomaly_type: "low throughput", description: "Support reported a partial issue; the invoice was updated.", timestamp: new Date("2023-03-24T21:29:07Z") },
            { id: 530, sensor_reading_id: 166, anomaly_type: "temperature spike", description: "The customer asked for a change and the item was processed.", timestamp: new Date("2023-10-04T13:18:02Z") },
            { id: 531, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "The supplier asked for a change and the delivery was approved.", timestamp: new Date("2023-02-19T09:15:10Z") },
            { id: 532, sensor_reading_id: 151, anomaly_type: "temperature spike", description: "A repeat record was processed the same day.", timestamp: new Date("2023-12-04T12:15:06Z") },
            { id: 533, sensor_reading_id: 520, anomaly_type: "low throughput", description: "Flagged as repeat. Support reviewed the shipment.", timestamp: new Date("2023-01-28T22:55:51Z") },
            { id: 534, sensor_reading_id: 534, anomaly_type: "temperature spike", description: "An automatic request was processed the same day.", timestamp: new Date("2023-06-12T06:41:47Z") },
            { id: 535, sensor_reading_id: 2, anomaly_type: "temperature spike", description: "The record was escalated following an automatic review.", timestamp: new Date("2023-10-08T15:39:04Z") },
            { id: 536, sensor_reading_id: 450, anomaly_type: "high vibration", description: "The request was refunded — standard case, no further action.", timestamp: new Date("2023-02-10T23:37:47Z") },
            { id: 537, sensor_reading_id: 450, anomaly_type: "high vibration", description: "Flagged as incomplete. The account owner delayed the claim.", timestamp: new Date("2023-08-13T20:35:03Z") },
            { id: 538, sensor_reading_id: 534, anomaly_type: "temperature spike", description: "An incomplete follow-up: the claim was rescheduled.", timestamp: new Date("2023-08-28T21:57:45Z") },
            { id: 539, sensor_reading_id: 126, anomaly_type: "high vibration", description: "A manual order was closed the same day.", timestamp: new Date("2023-03-13T15:35:58Z") },
            { id: 540, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "A routine follow-up: the delivery was approved.", timestamp: new Date("2023-10-22T20:24:48Z") },
            { id: 541, sensor_reading_id: 136, anomaly_type: "temperature spike", description: "No response from the supplier, so the invoice was replaced.", timestamp: new Date("2023-05-18T08:48:28Z") },
            { id: 542, sensor_reading_id: 362, anomaly_type: "low throughput", description: "The report was rejected — routine case, no further action.", timestamp: new Date("2023-10-29T05:13:56Z") },
            { id: 543, sensor_reading_id: 97, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the account was refunded.", timestamp: new Date("2023-11-27T17:08:22Z") },
            { id: 544, sensor_reading_id: 63, anomaly_type: "temperature spike", description: "The invoice was updated — duplicate case, no further action.", timestamp: new Date("2023-03-24T11:17:49Z") },
            { id: 545, sensor_reading_id: 527, anomaly_type: "high vibration", description: "No response from the team, so the shipment was confirmed.", timestamp: new Date("2023-03-09T09:21:20Z") },
            { id: 546, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "The delivery was confirmed — late case, no further action.", timestamp: new Date("2023-11-29T21:26:02Z") },
            { id: 547, sensor_reading_id: 201, anomaly_type: "temperature spike", description: "Support asked for a change and the shipment was processed.", timestamp: new Date("2023-09-19T11:29:24Z") },
            { id: 548, sensor_reading_id: 349, anomaly_type: "temperature spike", description: "Support asked for a change and the refund was rescheduled.", timestamp: new Date("2023-11-18T18:21:44Z") },
            { id: 549, sensor_reading_id: 250, anomaly_type: "high vibration", description: "The invoice was approved — manual case, no further action.", timestamp: new Date("2023-07-30T20:15:08Z") },
            { id: 550, sensor_reading_id: 431, anomaly_type: "high vibration", description: "The booking was rescheduled following a late review.", timestamp: new Date("2023-04-18T22:33:40Z") },
            { id: 551, sensor_reading_id: 162, anomaly_type: "high vibration", description: "A manual follow-up: the ticket was closed.", timestamp: new Date("2023-02-05T03:03:38Z") },
            { id: 552, sensor_reading_id: 99, anomaly_type: "temperature spike", description: "The order was confirmed following a manual review.", timestamp: new Date("2023-06-26T23:22:07Z") },
            { id: 553, sensor_reading_id: 265, anomaly_type: "temperature spike", description: "The report was rescheduled — incomplete case, no further action.", timestamp: new Date("2023-12-18T11:24:48Z") },
            { id: 554, sensor_reading_id: 440, anomaly_type: "temperature spike", description: "An operator reported a routine issue; the order was refunded.", timestamp: new Date("2023-11-30T08:09:04Z") },
            { id: 555, sensor_reading_id: 550, anomaly_type: "temperature spike", description: "The refund was reviewed following a duplicate review.", timestamp: new Date("2023-06-17T16:43:08Z") },
            { id: 556, sensor_reading_id: 253, anomaly_type: "temperature spike", description: "A manual item was confirmed the same day.", timestamp: new Date("2023-06-27T02:51:54Z") },
            { id: 557, sensor_reading_id: 433, anomaly_type: "temperature spike", description: "No response from support, so the invoice was cancelled.", timestamp: new Date("2023-08-08T14:29:01Z") },
            { id: 558, sensor_reading_id: 463, anomaly_type: "high vibration", description: "The reviewer asked for a change and the record was refunded.", timestamp: new Date("2023-07-16T23:28:50Z") },
            { id: 559, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "Support asked for a change and the transfer was resolved.", timestamp: new Date("2023-10-10T01:41:53Z") },
            { id: 560, sensor_reading_id: 308, anomaly_type: "temperature spike", description: "The supplier asked for a change and the claim was updated.", timestamp: new Date("2023-07-06T07:41:43Z") },
            { id: 561, sensor_reading_id: 380, anomaly_type: "low throughput", description: "A routine follow-up: the delivery was completed.", timestamp: new Date("2023-07-26T10:58:42Z") },
            { id: 562, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "The supplier reported a minor issue; the transfer was closed.", timestamp: new Date("2023-02-26T03:47:23Z") },
            { id: 563, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "A duplicate follow-up: the shipment was approved.", timestamp: new Date("2023-05-09T15:02:56Z") },
            { id: 564, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "The reviewer reported an unusual issue; the request was processed.", timestamp: new Date("2023-09-12T20:08:06Z") },
            { id: 565, sensor_reading_id: 34, anomaly_type: "temperature spike", description: "The booking was cancelled — unusual case, no further action.", timestamp: new Date("2023-08-21T04:33:42Z") },
            { id: 566, sensor_reading_id: 285, anomaly_type: "temperature spike", description: "The customer asked for a change and the report was escalated.", timestamp: new Date("2023-03-09T07:08:08Z") },
            { id: 567, sensor_reading_id: 492, anomaly_type: "high vibration", description: "No response from the reviewer, so the delivery was rescheduled.", timestamp: new Date("2023-05-23T19:01:33Z") },
            { id: 568, sensor_reading_id: 64, anomaly_type: "temperature spike", description: "An urgent item was reviewed the same day.", timestamp: new Date("2023-12-09T02:35:17Z") },
            { id: 569, sensor_reading_id: 59, anomaly_type: "temperature spike", description: "The refund was rejected following an automatic review.", timestamp: new Date("2023-05-31T09:42:52Z") },
            { id: 570, sensor_reading_id: 473, anomaly_type: "high vibration", description: "Flagged as routine. The team processed the appointment.", timestamp: new Date("2023-06-09T05:06:08Z") },
            { id: 571, sensor_reading_id: 103, anomaly_type: "temperature spike", description: "No response from the courier, so the payment was replaced.", timestamp: new Date("2023-09-29T16:00:11Z") },
            { id: 572, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "The transfer was rejected following an incomplete review.", timestamp: new Date("2023-08-31T15:37:47Z") },
            { id: 573, sensor_reading_id: 202, anomaly_type: "high vibration", description: "A routine request was resolved the same day.", timestamp: new Date("2023-11-14T23:02:39Z") },
            { id: 574, sensor_reading_id: 273, anomaly_type: "temperature spike", description: "The shipment was rescheduled following a duplicate review.", timestamp: new Date("2023-03-29T21:20:28Z") },
            { id: 575, sensor_reading_id: 399, anomaly_type: "low throughput", description: "The customer asked for a change and the booking was approved.", timestamp: new Date("2023-07-05T01:40:38Z") },
            { id: 576, sensor_reading_id: 450, anomaly_type: "high vibration", description: "The session was resolved following an automatic review.", timestamp: new Date("2023-04-28T20:01:56Z") },
            { id: 577, sensor_reading_id: 262, anomaly_type: "temperature spike", description: "The item was confirmed after a partial check.", timestamp: new Date("2023-12-31T14:03:48Z") },
            { id: 578, sensor_reading_id: 476, anomaly_type: "high vibration", description: "An incomplete account was delayed the same day.", timestamp: new Date("2023-08-04T12:11:22Z") },
            { id: 579, sensor_reading_id: 225, anomaly_type: "high vibration", description: "The supplier confirmed the details and the claim was approved.", timestamp: new Date("2023-01-12T16:07:34Z") },
            { id: 580, sensor_reading_id: 253, anomaly_type: "high vibration", description: "An operator reported a duplicate issue; the invoice was completed.", timestamp: new Date("2023-04-22T11:46:32Z") },
            { id: 581, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "The report was confirmed following a manual review.", timestamp: new Date("2023-02-21T00:56:13Z") },
            { id: 582, sensor_reading_id: 111, anomaly_type: "low throughput", description: "An unusual report was reopened the same day.", timestamp: new Date("2023-09-21T23:56:54Z") },
            { id: 583, sensor_reading_id: 479, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the document was reviewed.", timestamp: new Date("2023-06-24T01:36:09Z") },
            { id: 584, sensor_reading_id: 370, anomaly_type: "high vibration", description: "The supplier asked for a change and the invoice was processed.", timestamp: new Date("2023-03-24T04:28:30Z") },
            { id: 585, sensor_reading_id: 30, anomaly_type: "temperature spike", description: "Flagged as routine. The team confirmed the request.", timestamp: new Date("2023-08-09T08:26:43Z") },
            { id: 586, sensor_reading_id: 324, anomaly_type: "low throughput", description: "Support confirmed the details and the booking was processed.", timestamp: new Date("2023-04-04T04:00:28Z") },
            { id: 587, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "A repeat booking was refunded the same day.", timestamp: new Date("2023-06-03T17:00:20Z") },
            { id: 588, sensor_reading_id: 253, anomaly_type: "temperature spike", description: "No response from the team, so the request was resolved.", timestamp: new Date("2023-12-06T22:15:37Z") },
            { id: 589, sensor_reading_id: 349, anomaly_type: "temperature spike", description: "The courier reported an unusual issue; the refund was confirmed.", timestamp: new Date("2023-05-09T08:57:32Z") },
            { id: 590, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "The courier confirmed the details and the payment was confirmed.", timestamp: new Date("2023-10-28T12:19:02Z") },
            { id: 591, sensor_reading_id: 440, anomaly_type: "temperature spike", description: "Support asked for a change and the transfer was rejected.", timestamp: new Date("2023-03-28T21:38:15Z") },
            { id: 592, sensor_reading_id: 93, anomaly_type: "temperature spike", description: "The reviewer reported a routine issue; the report was rescheduled.", timestamp: new Date("2023-06-18T11:52:36Z") },
            { id: 593, sensor_reading_id: 272, anomaly_type: "temperature spike", description: "The request was approved — unusual case, no further action.", timestamp: new Date("2023-01-18T02:01:43Z") },
            { id: 594, sensor_reading_id: 455, anomaly_type: "high vibration", description: "The account owner confirmed the details and the invoice was rejected.", timestamp: new Date("2023-08-25T20:55:32Z") },
            { id: 595, sensor_reading_id: 28, anomaly_type: "temperature spike", description: "The refund was confirmed — minor case, no further action.", timestamp: new Date("2023-09-26T18:39:54Z") },
            { id: 596, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "The customer reported a minor issue; the session was processed.", timestamp: new Date("2023-07-12T11:25:42Z") },
            { id: 597, sensor_reading_id: 387, anomaly_type: "low throughput", description: "Flagged as duplicate. The customer updated the delivery.", timestamp: new Date("2023-09-10T02:13:40Z") },
            { id: 598, sensor_reading_id: 361, anomaly_type: "temperature spike", description: "The document was rejected following a manual review.", timestamp: new Date("2023-05-13T07:40:16Z") },
            { id: 599, sensor_reading_id: 148, anomaly_type: "high vibration", description: "A routine follow-up: the booking was cancelled.", timestamp: new Date("2023-11-17T01:37:42Z") },
            { id: 600, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the record was refunded.", timestamp: new Date("2023-01-12T12:25:47Z") },
            { id: 601, sensor_reading_id: 442, anomaly_type: "temperature spike", description: "An operator asked for a change and the appointment was closed.", timestamp: new Date("2023-09-11T02:29:24Z") },
            { id: 602, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "An urgent item was completed the same day.", timestamp: new Date("2023-10-09T14:42:24Z") },
            { id: 603, sensor_reading_id: 19, anomaly_type: "low throughput", description: "The customer confirmed the details and the refund was replaced.", timestamp: new Date("2023-06-06T12:32:23Z") },
            { id: 604, sensor_reading_id: 144, anomaly_type: "low throughput", description: "A manual follow-up: the transfer was processed.", timestamp: new Date("2023-12-24T07:47:08Z") },
            { id: 605, sensor_reading_id: 285, anomaly_type: "temperature spike", description: "The transfer was processed — unusual case, no further action.", timestamp: new Date("2023-03-10T07:16:24Z") },
            { id: 606, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "Flagged as routine. Support closed the ticket.", timestamp: new Date("2023-12-06T06:15:08Z") },
            { id: 607, sensor_reading_id: 225, anomaly_type: "low throughput", description: "Support confirmed the details and the record was processed.", timestamp: new Date("2023-09-12T21:21:36Z") },
            { id: 608, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "A late follow-up: the document was delayed.", timestamp: new Date("2023-10-28T01:37:09Z") },
            { id: 609, sensor_reading_id: 551, anomaly_type: "high vibration", description: "The team reported a minor issue; the appointment was resolved.", timestamp: new Date("2023-10-04T11:48:11Z") },
            { id: 610, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "The transfer was cancelled — standard case, no further action.", timestamp: new Date("2023-02-03T03:22:00Z") },
            { id: 611, sensor_reading_id: 104, anomaly_type: "high vibration", description: "The item was cancelled — manual case, no further action.", timestamp: new Date("2023-02-09T02:02:57Z") },
            { id: 612, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "No response from support, so the item was rescheduled.", timestamp: new Date("2023-05-14T23:32:18Z") },
            { id: 613, sensor_reading_id: 324, anomaly_type: "temperature spike", description: "The invoice was rejected following an unusual review.", timestamp: new Date("2023-05-27T07:56:16Z") },
            { id: 614, sensor_reading_id: 263, anomaly_type: "temperature spike", description: "The invoice was closed after a repeat check.", timestamp: new Date("2023-05-28T17:22:42Z") },
            { id: 615, sensor_reading_id: 167, anomaly_type: "temperature spike", description: "No response from the team, so the booking was processed.", timestamp: new Date("2023-10-03T15:44:40Z") },
            { id: 616, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "No response from the team, so the document was approved.", timestamp: new Date("2023-05-27T04:46:03Z") },
            { id: 617, sensor_reading_id: 482, anomaly_type: "low throughput", description: "The reviewer confirmed the details and the shipment was updated.", timestamp: new Date("2023-06-06T04:59:17Z") },
            { id: 618, sensor_reading_id: 476, anomaly_type: "temperature spike", description: "An automatic follow-up: the shipment was completed.", timestamp: new Date("2023-07-24T22:28:46Z") },
            { id: 619, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "The document was replaced after an incomplete check.", timestamp: new Date("2023-10-23T16:47:59Z") },
            { id: 620, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "Flagged as routine. The reviewer completed the shipment.", timestamp: new Date("2023-10-11T17:06:30Z") },
            { id: 621, sensor_reading_id: 518, anomaly_type: "temperature spike", description: "The appointment was completed after a manual check.", timestamp: new Date("2023-12-14T19:56:38Z") },
            { id: 622, sensor_reading_id: 402, anomaly_type: "temperature spike", description: "The session was rescheduled — routine case, no further action.", timestamp: new Date("2023-10-31T07:42:31Z") },
            { id: 623, sensor_reading_id: 343, anomaly_type: "temperature spike", description: "The booking was processed after an unusual check.", timestamp: new Date("2023-09-14T06:41:02Z") },
            { id: 624, sensor_reading_id: 449, anomaly_type: "temperature spike", description: "The booking was resolved — repeat case, no further action.", timestamp: new Date("2023-06-16T15:24:52Z") },
            { id: 625, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "The supplier reported an urgent issue; the shipment was closed.", timestamp: new Date("2023-08-19T03:59:47Z") },
            { id: 626, sensor_reading_id: 202, anomaly_type: "temperature spike", description: "A standard follow-up: the document was rescheduled.", timestamp: new Date("2023-07-21T07:13:02Z") },
            { id: 627, sensor_reading_id: 192, anomaly_type: "high vibration", description: "A partial order was escalated the same day.", timestamp: new Date("2023-03-03T04:17:38Z") },
            { id: 628, sensor_reading_id: 58, anomaly_type: "high vibration", description: "No response from the customer, so the report was confirmed.", timestamp: new Date("2023-08-01T11:12:05Z") },
            { id: 629, sensor_reading_id: 189, anomaly_type: "temperature spike", description: "Flagged as automatic. The supplier replaced the ticket.", timestamp: new Date("2023-06-08T03:48:18Z") },
            { id: 630, sensor_reading_id: 103, anomaly_type: "temperature spike", description: "The payment was confirmed — duplicate case, no further action.", timestamp: new Date("2023-02-09T07:55:11Z") },
            { id: 631, sensor_reading_id: 77, anomaly_type: "temperature spike", description: "The refund was rescheduled after an automatic check.", timestamp: new Date("2023-12-16T03:41:44Z") },
            { id: 632, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the booking was delayed.", timestamp: new Date("2023-05-04T11:20:36Z") },
            { id: 633, sensor_reading_id: 116, anomaly_type: "high vibration", description: "A minor appointment was delayed the same day.", timestamp: new Date("2023-08-12T00:09:33Z") },
            { id: 634, sensor_reading_id: 285, anomaly_type: "temperature spike", description: "A standard follow-up: the delivery was resolved.", timestamp: new Date("2023-02-16T20:58:51Z") },
            { id: 635, sensor_reading_id: 298, anomaly_type: "low throughput", description: "Flagged as manual. The courier refunded the session.", timestamp: new Date("2023-03-22T21:56:13Z") },
            { id: 636, sensor_reading_id: 469, anomaly_type: "low throughput", description: "The delivery was refunded — minor case, no further action.", timestamp: new Date("2023-02-06T20:00:23Z") },
            { id: 637, sensor_reading_id: 388, anomaly_type: "temperature spike", description: "No response from the supplier, so the transfer was closed.", timestamp: new Date("2023-01-12T13:53:47Z") },
            { id: 638, sensor_reading_id: 401, anomaly_type: "temperature spike", description: "The record was reviewed following a late review.", timestamp: new Date("2023-07-23T19:03:07Z") },
            { id: 639, sensor_reading_id: 336, anomaly_type: "high vibration", description: "An operator reported an urgent issue; the payment was approved.", timestamp: new Date("2023-04-27T14:31:44Z") },
            { id: 640, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "A standard follow-up: the report was reopened.", timestamp: new Date("2023-02-22T19:01:57Z") },
            { id: 641, sensor_reading_id: 241, anomaly_type: "temperature spike", description: "A manual shipment was reopened the same day.", timestamp: new Date("2023-10-27T17:38:26Z") },
            { id: 642, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "Flagged as late. The supplier approved the record.", timestamp: new Date("2023-12-28T04:23:04Z") },
            { id: 643, sensor_reading_id: 80, anomaly_type: "temperature spike", description: "The courier asked for a change and the record was delayed.", timestamp: new Date("2023-12-07T19:37:52Z") },
            { id: 644, sensor_reading_id: 181, anomaly_type: "high vibration", description: "No response from the supplier, so the refund was reviewed.", timestamp: new Date("2023-12-07T02:10:29Z") },
            { id: 645, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The account owner reported a routine issue; the report was closed.", timestamp: new Date("2023-09-23T14:58:54Z") },
            { id: 646, sensor_reading_id: 205, anomaly_type: "temperature spike", description: "Flagged as partial. The account owner escalated the request.", timestamp: new Date("2023-03-09T07:00:14Z") },
            { id: 647, sensor_reading_id: 404, anomaly_type: "high vibration", description: "No response from the reviewer, so the record was completed.", timestamp: new Date("2023-12-29T12:38:50Z") },
            { id: 648, sensor_reading_id: 397, anomaly_type: "temperature spike", description: "The payment was completed following a repeat review.", timestamp: new Date("2023-12-23T17:38:27Z") },
            { id: 649, sensor_reading_id: 316, anomaly_type: "high vibration", description: "An operator reported an unusual issue; the booking was resolved.", timestamp: new Date("2023-07-12T10:40:52Z") },
            { id: 650, sensor_reading_id: 93, anomaly_type: "temperature spike", description: "The delivery was closed — incomplete case, no further action.", timestamp: new Date("2023-11-22T04:29:46Z") },
            { id: 651, sensor_reading_id: 227, anomaly_type: "temperature spike", description: "The document was resolved — routine case, no further action.", timestamp: new Date("2023-07-29T06:43:19Z") },
            { id: 652, sensor_reading_id: 517, anomaly_type: "temperature spike", description: "A duplicate follow-up: the appointment was rejected.", timestamp: new Date("2023-12-01T19:40:14Z") },
            { id: 653, sensor_reading_id: 273, anomaly_type: "temperature spike", description: "The booking was cancelled — minor case, no further action.", timestamp: new Date("2023-03-22T06:48:21Z") },
            { id: 654, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "The item was escalated after a minor check.", timestamp: new Date("2023-01-30T09:53:16Z") },
            { id: 655, sensor_reading_id: 97, anomaly_type: "temperature spike", description: "No response from support, so the request was reopened.", timestamp: new Date("2023-01-19T22:47:07Z") },
            { id: 656, sensor_reading_id: 73, anomaly_type: "temperature spike", description: "No response from the supplier, so the document was reviewed.", timestamp: new Date("2023-02-09T07:13:06Z") },
            { id: 657, sensor_reading_id: 388, anomaly_type: "temperature spike", description: "Flagged as minor. The reviewer processed the account.", timestamp: new Date("2023-02-24T07:49:19Z") },
            { id: 658, sensor_reading_id: 430, anomaly_type: "temperature spike", description: "The customer asked for a change and the account was closed.", timestamp: new Date("2023-10-25T00:49:38Z") },
            { id: 659, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "Flagged as automatic. The customer escalated the account.", timestamp: new Date("2023-12-03T15:04:33Z") },
            { id: 660, sensor_reading_id: 188, anomaly_type: "temperature spike", description: "A minor ticket was closed the same day.", timestamp: new Date("2023-09-08T21:46:28Z") },
            { id: 661, sensor_reading_id: 250, anomaly_type: "high vibration", description: "The document was approved following a minor review.", timestamp: new Date("2023-01-21T05:36:04Z") },
            { id: 662, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "The order was closed after a late check.", timestamp: new Date("2023-09-07T06:36:11Z") },
            { id: 663, sensor_reading_id: 312, anomaly_type: "low throughput", description: "No response from the customer, so the session was refunded.", timestamp: new Date("2023-09-16T17:09:34Z") },
            { id: 664, sensor_reading_id: 457, anomaly_type: "temperature spike", description: "No response from the courier, so the shipment was reviewed.", timestamp: new Date("2023-05-27T17:43:41Z") },
            { id: 665, sensor_reading_id: 143, anomaly_type: "low throughput", description: "The delivery was completed — routine case, no further action.", timestamp: new Date("2023-01-08T19:57:32Z") },
            { id: 666, sensor_reading_id: 354, anomaly_type: "temperature spike", description: "No response from support, so the item was refunded.", timestamp: new Date("2023-12-11T21:42:19Z") },
            { id: 667, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "A partial payment was delayed the same day.", timestamp: new Date("2023-08-10T23:59:46Z") },
            { id: 668, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the refund was rescheduled.", timestamp: new Date("2023-09-05T11:02:46Z") },
            { id: 669, sensor_reading_id: 69, anomaly_type: "high vibration", description: "The refund was completed after a late check.", timestamp: new Date("2023-05-23T06:40:50Z") },
            { id: 670, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "The session was closed following a late review.", timestamp: new Date("2023-07-17T13:42:35Z") },
            { id: 671, sensor_reading_id: 83, anomaly_type: "temperature spike", description: "A standard follow-up: the delivery was escalated.", timestamp: new Date("2023-11-18T22:02:44Z") },
            { id: 672, sensor_reading_id: 427, anomaly_type: "high vibration", description: "The request was updated following an urgent review.", timestamp: new Date("2023-10-16T15:22:56Z") },
            { id: 673, sensor_reading_id: 65, anomaly_type: "temperature spike", description: "The refund was updated after an incomplete check.", timestamp: new Date("2023-12-22T02:23:35Z") },
            { id: 674, sensor_reading_id: 103, anomaly_type: "temperature spike", description: "A minor order was escalated the same day.", timestamp: new Date("2023-07-23T02:38:04Z") },
            { id: 675, sensor_reading_id: 369, anomaly_type: "temperature spike", description: "An urgent follow-up: the record was completed.", timestamp: new Date("2023-03-21T19:33:59Z") },
            { id: 676, sensor_reading_id: 112, anomaly_type: "high vibration", description: "The report was rescheduled — late case, no further action.", timestamp: new Date("2023-05-21T15:41:19Z") },
            { id: 677, sensor_reading_id: 191, anomaly_type: "temperature spike", description: "A standard follow-up: the transfer was refunded.", timestamp: new Date("2023-02-09T06:37:39Z") },
            { id: 678, sensor_reading_id: 407, anomaly_type: "temperature spike", description: "A partial follow-up: the item was reviewed.", timestamp: new Date("2023-08-11T20:14:13Z") },
            { id: 679, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "Support reported an unusual issue; the payment was confirmed.", timestamp: new Date("2023-05-11T13:52:13Z") },
            { id: 680, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "The request was escalated after a manual check.", timestamp: new Date("2023-02-23T06:11:02Z") },
            { id: 681, sensor_reading_id: 407, anomaly_type: "temperature spike", description: "The delivery was reopened after a standard check.", timestamp: new Date("2023-02-24T23:55:08Z") },
            { id: 682, sensor_reading_id: 266, anomaly_type: "temperature spike", description: "The session was reviewed — minor case, no further action.", timestamp: new Date("2023-05-10T14:03:05Z") },
            { id: 683, sensor_reading_id: 85, anomaly_type: "low throughput", description: "No response from an operator, so the delivery was processed.", timestamp: new Date("2023-03-04T17:23:21Z") },
            { id: 684, sensor_reading_id: 458, anomaly_type: "low throughput", description: "The account owner reported an automatic issue; the transfer was rescheduled.", timestamp: new Date("2023-10-26T00:20:26Z") },
            { id: 685, sensor_reading_id: 148, anomaly_type: "low throughput", description: "A late follow-up: the appointment was processed.", timestamp: new Date("2023-12-15T00:58:49Z") },
            { id: 686, sensor_reading_id: 444, anomaly_type: "low throughput", description: "The booking was cancelled after an automatic check.", timestamp: new Date("2023-10-01T01:10:30Z") },
            { id: 687, sensor_reading_id: 476, anomaly_type: "temperature spike", description: "A duplicate claim was resolved the same day.", timestamp: new Date("2023-12-20T18:04:56Z") },
            { id: 688, sensor_reading_id: 91, anomaly_type: "temperature spike", description: "The ticket was confirmed after a manual check.", timestamp: new Date("2023-10-17T04:36:49Z") },
            { id: 689, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "The record was refunded following a partial review.", timestamp: new Date("2023-09-27T22:06:07Z") },
            { id: 690, sensor_reading_id: 234, anomaly_type: "temperature spike", description: "The record was reopened after a manual check.", timestamp: new Date("2023-11-15T00:28:06Z") },
            { id: 691, sensor_reading_id: 120, anomaly_type: "temperature spike", description: "Flagged as routine. The reviewer delayed the ticket.", timestamp: new Date("2023-02-26T00:44:42Z") },
            { id: 692, sensor_reading_id: 40, anomaly_type: "temperature spike", description: "The record was delayed following a repeat review.", timestamp: new Date("2023-08-11T10:26:19Z") },
            { id: 693, sensor_reading_id: 88, anomaly_type: "high vibration", description: "A standard follow-up: the session was reviewed.", timestamp: new Date("2023-09-19T04:57:36Z") },
            { id: 694, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "An operator asked for a change and the refund was closed.", timestamp: new Date("2023-12-28T05:50:15Z") },
            { id: 695, sensor_reading_id: 335, anomaly_type: "temperature spike", description: "No response from the reviewer, so the delivery was reviewed.", timestamp: new Date("2023-01-06T02:14:31Z") },
            { id: 696, sensor_reading_id: 349, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the item was reviewed.", timestamp: new Date("2023-12-09T08:49:45Z") },
            { id: 697, sensor_reading_id: 259, anomaly_type: "high vibration", description: "The document was refunded after a partial check.", timestamp: new Date("2023-04-04T13:23:20Z") },
            { id: 698, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "The refund was reopened after a partial check.", timestamp: new Date("2023-07-27T12:39:49Z") },
            { id: 699, sensor_reading_id: 317, anomaly_type: "low throughput", description: "The account was cancelled — repeat case, no further action.", timestamp: new Date("2023-06-13T15:32:36Z") },
            { id: 700, sensor_reading_id: 38, anomaly_type: "temperature spike", description: "The supplier asked for a change and the request was completed.", timestamp: new Date("2023-01-29T11:10:43Z") },
            { id: 701, sensor_reading_id: 158, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the refund was escalated.", timestamp: new Date("2023-10-21T03:30:12Z") },
            { id: 702, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "An operator reported an automatic issue; the report was replaced.", timestamp: new Date("2023-09-01T10:03:04Z") },
            { id: 703, sensor_reading_id: 45, anomaly_type: "temperature spike", description: "No response from support, so the ticket was reopened.", timestamp: new Date("2023-05-17T20:02:50Z") },
            { id: 704, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The transfer was reopened following a standard review.", timestamp: new Date("2023-06-13T12:02:17Z") },
            { id: 705, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "No response from the team, so the report was reopened.", timestamp: new Date("2023-12-15T21:10:23Z") },
            { id: 706, sensor_reading_id: 132, anomaly_type: "temperature spike", description: "The team reported a minor issue; the document was cancelled.", timestamp: new Date("2023-10-19T15:24:00Z") },
            { id: 707, sensor_reading_id: 375, anomaly_type: "high vibration", description: "The report was escalated — routine case, no further action.", timestamp: new Date("2023-07-24T13:10:04Z") },
            { id: 708, sensor_reading_id: 238, anomaly_type: "high vibration", description: "The invoice was delayed — routine case, no further action.", timestamp: new Date("2023-01-25T05:45:55Z") },
            { id: 709, sensor_reading_id: 153, anomaly_type: "temperature spike", description: "Flagged as minor. Support resolved the invoice.", timestamp: new Date("2023-01-14T05:17:54Z") },
            { id: 710, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "The account was updated following an unusual review.", timestamp: new Date("2023-12-31T17:41:47Z") },
            { id: 711, sensor_reading_id: 377, anomaly_type: "temperature spike", description: "The invoice was completed — urgent case, no further action.", timestamp: new Date("2023-12-23T10:49:08Z") },
            { id: 712, sensor_reading_id: 350, anomaly_type: "temperature spike", description: "A repeat appointment was confirmed the same day.", timestamp: new Date("2023-10-14T07:15:38Z") },
            { id: 713, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "Support confirmed the details and the order was delayed.", timestamp: new Date("2023-05-06T03:13:39Z") },
            { id: 714, sensor_reading_id: 312, anomaly_type: "temperature spike", description: "The ticket was reopened — routine case, no further action.", timestamp: new Date("2023-12-17T01:24:41Z") },
            { id: 715, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "Support confirmed the details and the order was escalated.", timestamp: new Date("2023-05-07T11:56:00Z") },
            { id: 716, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "The appointment was rescheduled — partial case, no further action.", timestamp: new Date("2023-08-26T08:16:46Z") },
            { id: 717, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "An incomplete follow-up: the account was delayed.", timestamp: new Date("2023-09-04T04:02:47Z") },
            { id: 718, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the invoice was rescheduled.", timestamp: new Date("2023-01-06T20:29:54Z") },
            { id: 719, sensor_reading_id: 32, anomaly_type: "high vibration", description: "The account owner confirmed the details and the delivery was resolved.", timestamp: new Date("2023-01-26T00:06:15Z") },
            { id: 720, sensor_reading_id: 301, anomaly_type: "temperature spike", description: "The request was reviewed — automatic case, no further action.", timestamp: new Date("2023-03-06T02:01:34Z") },
            { id: 721, sensor_reading_id: 225, anomaly_type: "temperature spike", description: "The ticket was updated after a manual check.", timestamp: new Date("2023-05-16T18:58:30Z") },
            { id: 722, sensor_reading_id: 190, anomaly_type: "temperature spike", description: "A repeat document was processed the same day.", timestamp: new Date("2023-06-10T08:28:32Z") },
            { id: 723, sensor_reading_id: 201, anomaly_type: "high vibration", description: "No response from the team, so the record was reviewed.", timestamp: new Date("2023-05-14T19:10:07Z") },
            { id: 724, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "Flagged as unusual. The account owner rejected the claim.", timestamp: new Date("2023-11-25T04:34:10Z") },
            { id: 725, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "The ticket was processed after an unusual check.", timestamp: new Date("2023-07-25T05:31:32Z") },
            { id: 726, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "A late refund was reopened the same day.", timestamp: new Date("2023-07-24T10:06:34Z") },
            { id: 727, sensor_reading_id: 28, anomaly_type: "temperature spike", description: "Support reported a minor issue; the invoice was approved.", timestamp: new Date("2023-05-19T22:58:24Z") },
            { id: 728, sensor_reading_id: 354, anomaly_type: "temperature spike", description: "The account was resolved after a minor check.", timestamp: new Date("2023-01-05T09:35:06Z") },
            { id: 729, sensor_reading_id: 201, anomaly_type: "temperature spike", description: "Support reported a partial issue; the item was replaced.", timestamp: new Date("2023-07-30T11:53:36Z") },
            { id: 730, sensor_reading_id: 426, anomaly_type: "low throughput", description: "The session was updated following an automatic review.", timestamp: new Date("2023-12-19T19:36:12Z") },
            { id: 731, sensor_reading_id: 142, anomaly_type: "high vibration", description: "The document was closed following a standard review.", timestamp: new Date("2023-11-03T17:47:51Z") },
            { id: 732, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "The account was completed — urgent case, no further action.", timestamp: new Date("2023-05-14T09:41:01Z") },
            { id: 733, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "A partial follow-up: the request was completed.", timestamp: new Date("2023-04-07T01:37:30Z") },
            { id: 734, sensor_reading_id: 360, anomaly_type: "low throughput", description: "The reviewer confirmed the details and the booking was processed.", timestamp: new Date("2023-07-02T06:10:12Z") },
            { id: 735, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "The report was rescheduled — routine case, no further action.", timestamp: new Date("2023-12-28T03:31:45Z") },
            { id: 736, sensor_reading_id: 77, anomaly_type: "temperature spike", description: "The report was replaced — automatic case, no further action.", timestamp: new Date("2023-06-01T12:20:23Z") },
            { id: 737, sensor_reading_id: 115, anomaly_type: "low throughput", description: "The request was processed following a repeat review.", timestamp: new Date("2023-07-17T22:39:05Z") },
            { id: 738, sensor_reading_id: 268, anomaly_type: "temperature spike", description: "Flagged as urgent. An operator processed the transfer.", timestamp: new Date("2023-04-18T05:13:34Z") },
            { id: 739, sensor_reading_id: 545, anomaly_type: "high vibration", description: "No response from the account owner, so the order was processed.", timestamp: new Date("2023-03-01T00:33:52Z") },
            { id: 740, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "The booking was cancelled following a routine review.", timestamp: new Date("2023-11-12T11:21:10Z") },
            { id: 741, sensor_reading_id: 139, anomaly_type: "low throughput", description: "Flagged as automatic. Support replaced the account.", timestamp: new Date("2023-08-03T08:59:29Z") },
            { id: 742, sensor_reading_id: 227, anomaly_type: "temperature spike", description: "An unusual follow-up: the transfer was completed.", timestamp: new Date("2023-12-10T04:15:01Z") },
            { id: 743, sensor_reading_id: 448, anomaly_type: "high vibration", description: "An automatic item was escalated the same day.", timestamp: new Date("2023-06-13T00:56:52Z") },
            { id: 744, sensor_reading_id: 212, anomaly_type: "high vibration", description: "Flagged as partial. The reviewer completed the delivery.", timestamp: new Date("2023-10-10T09:29:48Z") },
            { id: 745, sensor_reading_id: 252, anomaly_type: "temperature spike", description: "No response from an operator, so the booking was confirmed.", timestamp: new Date("2023-10-20T20:54:18Z") },
            { id: 746, sensor_reading_id: 104, anomaly_type: "temperature spike", description: "The record was delayed following an urgent review.", timestamp: new Date("2023-06-25T02:32:34Z") },
            { id: 747, sensor_reading_id: 194, anomaly_type: "temperature spike", description: "The refund was rejected after an incomplete check.", timestamp: new Date("2023-05-28T23:09:02Z") },
            { id: 748, sensor_reading_id: 491, anomaly_type: "temperature spike", description: "The invoice was refunded — urgent case, no further action.", timestamp: new Date("2023-02-27T14:44:34Z") },
            { id: 749, sensor_reading_id: 110, anomaly_type: "temperature spike", description: "An incomplete follow-up: the item was reviewed.", timestamp: new Date("2023-12-13T16:29:40Z") },
            { id: 750, sensor_reading_id: 193, anomaly_type: "temperature spike", description: "The team reported an automatic issue; the record was rejected.", timestamp: new Date("2023-04-25T06:49:15Z") },
            { id: 751, sensor_reading_id: 346, anomaly_type: "temperature spike", description: "A repeat shipment was refunded the same day.", timestamp: new Date("2023-04-01T23:29:35Z") },
            { id: 752, sensor_reading_id: 487, anomaly_type: "temperature spike", description: "The customer reported a late issue; the refund was rescheduled.", timestamp: new Date("2023-01-04T05:12:24Z") },
            { id: 753, sensor_reading_id: 499, anomaly_type: "temperature spike", description: "A standard follow-up: the appointment was cancelled.", timestamp: new Date("2023-08-18T02:22:42Z") },
            { id: 754, sensor_reading_id: 242, anomaly_type: "temperature spike", description: "A partial account was resolved the same day.", timestamp: new Date("2023-09-15T02:29:17Z") },
            { id: 755, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "Flagged as late. An operator delayed the order.", timestamp: new Date("2023-03-03T18:48:34Z") },
            { id: 756, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "Support reported an automatic issue; the document was reviewed.", timestamp: new Date("2023-12-14T06:02:50Z") },
            { id: 757, sensor_reading_id: 465, anomaly_type: "temperature spike", description: "The team asked for a change and the item was reviewed.", timestamp: new Date("2023-03-29T01:27:06Z") },
            { id: 758, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "The request was updated following a duplicate review.", timestamp: new Date("2023-03-18T20:35:03Z") },
            { id: 759, sensor_reading_id: 121, anomaly_type: "temperature spike", description: "A manual follow-up: the session was refunded.", timestamp: new Date("2023-07-25T18:03:41Z") },
            { id: 760, sensor_reading_id: 162, anomaly_type: "temperature spike", description: "A manual transfer was reopened the same day.", timestamp: new Date("2023-03-29T21:02:20Z") },
            { id: 761, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "A partial follow-up: the claim was resolved.", timestamp: new Date("2023-11-22T13:28:49Z") },
            { id: 762, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "Flagged as urgent. The team delayed the record.", timestamp: new Date("2023-01-10T10:34:57Z") },
            { id: 763, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "The booking was reviewed — incomplete case, no further action.", timestamp: new Date("2023-06-17T11:48:12Z") },
            { id: 764, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "Support confirmed the details and the order was refunded.", timestamp: new Date("2023-04-25T16:55:45Z") },
            { id: 765, sensor_reading_id: 152, anomaly_type: "temperature spike", description: "The booking was approved following a manual review.", timestamp: new Date("2023-12-28T02:43:17Z") },
            { id: 766, sensor_reading_id: 375, anomaly_type: "high vibration", description: "The claim was reviewed — automatic case, no further action.", timestamp: new Date("2023-12-25T12:26:47Z") },
            { id: 767, sensor_reading_id: 34, anomaly_type: "temperature spike", description: "The reviewer reported a partial issue; the order was completed.", timestamp: new Date("2023-12-11T15:29:23Z") },
            { id: 768, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "The record was delayed after a duplicate check.", timestamp: new Date("2023-01-14T22:12:07Z") },
            { id: 769, sensor_reading_id: 354, anomaly_type: "high vibration", description: "The request was refunded — routine case, no further action.", timestamp: new Date("2023-04-08T09:51:51Z") },
            { id: 770, sensor_reading_id: 155, anomaly_type: "high vibration", description: "The reviewer confirmed the details and the refund was closed.", timestamp: new Date("2023-07-11T10:50:10Z") },
            { id: 771, sensor_reading_id: 246, anomaly_type: "temperature spike", description: "Support reported a duplicate issue; the appointment was reviewed.", timestamp: new Date("2023-09-12T03:03:08Z") },
            { id: 772, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "The customer confirmed the details and the refund was reopened.", timestamp: new Date("2023-01-04T21:51:14Z") },
            { id: 773, sensor_reading_id: 428, anomaly_type: "temperature spike", description: "Flagged as unusual. The customer approved the ticket.", timestamp: new Date("2023-02-01T05:09:39Z") },
            { id: 774, sensor_reading_id: 551, anomaly_type: "temperature spike", description: "Support asked for a change and the payment was reopened.", timestamp: new Date("2023-03-14T10:36:06Z") },
            { id: 775, sensor_reading_id: 31, anomaly_type: "high vibration", description: "Flagged as routine. Support completed the shipment.", timestamp: new Date("2023-09-09T06:44:15Z") },
            { id: 776, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "The team confirmed the details and the account was refunded.", timestamp: new Date("2023-03-23T02:37:01Z") },
            { id: 777, sensor_reading_id: 534, anomaly_type: "high vibration", description: "No response from the courier, so the payment was replaced.", timestamp: new Date("2023-01-08T01:27:58Z") },
            { id: 778, sensor_reading_id: 359, anomaly_type: "temperature spike", description: "Support confirmed the details and the booking was confirmed.", timestamp: new Date("2023-09-20T15:42:49Z") },
            { id: 779, sensor_reading_id: 255, anomaly_type: "high vibration", description: "No response from the team, so the session was reopened.", timestamp: new Date("2023-10-21T04:53:30Z") },
            { id: 780, sensor_reading_id: 191, anomaly_type: "temperature spike", description: "A partial follow-up: the session was reviewed.", timestamp: new Date("2023-03-21T00:51:25Z") },
            { id: 781, sensor_reading_id: 175, anomaly_type: "temperature spike", description: "The reviewer reported an urgent issue; the account was delayed.", timestamp: new Date("2023-10-18T03:50:31Z") },
            { id: 782, sensor_reading_id: 189, anomaly_type: "low throughput", description: "A manual payment was updated the same day.", timestamp: new Date("2023-06-25T08:06:42Z") },
            { id: 783, sensor_reading_id: 44, anomaly_type: "temperature spike", description: "An unusual follow-up: the shipment was updated.", timestamp: new Date("2023-06-21T04:46:46Z") },
            { id: 784, sensor_reading_id: 225, anomaly_type: "high vibration", description: "Support confirmed the details and the shipment was rescheduled.", timestamp: new Date("2023-01-27T09:11:38Z") },
            { id: 785, sensor_reading_id: 415, anomaly_type: "high vibration", description: "The item was resolved — unusual case, no further action.", timestamp: new Date("2023-05-02T10:50:01Z") },
            { id: 786, sensor_reading_id: 541, anomaly_type: "high vibration", description: "A partial item was delayed the same day.", timestamp: new Date("2023-09-19T08:34:53Z") },
            { id: 787, sensor_reading_id: 245, anomaly_type: "temperature spike", description: "The courier reported a repeat issue; the booking was processed.", timestamp: new Date("2023-06-02T01:33:45Z") },
            { id: 788, sensor_reading_id: 179, anomaly_type: "high vibration", description: "Support asked for a change and the booking was refunded.", timestamp: new Date("2023-07-10T01:03:46Z") },
            { id: 789, sensor_reading_id: 2, anomaly_type: "temperature spike", description: "A repeat follow-up: the report was refunded.", timestamp: new Date("2023-05-22T06:05:00Z") },
            { id: 790, sensor_reading_id: 426, anomaly_type: "low throughput", description: "The ticket was completed — urgent case, no further action.", timestamp: new Date("2023-11-28T03:00:03Z") },
            { id: 791, sensor_reading_id: 58, anomaly_type: "low throughput", description: "The account owner confirmed the details and the delivery was replaced.", timestamp: new Date("2023-07-09T17:47:53Z") },
            { id: 792, sensor_reading_id: 153, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the ticket was replaced.", timestamp: new Date("2023-09-02T16:59:51Z") },
            { id: 793, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "Flagged as manual. The courier approved the document.", timestamp: new Date("2023-12-02T03:31:03Z") },
            { id: 794, sensor_reading_id: 166, anomaly_type: "high vibration", description: "The account owner confirmed the details and the refund was reopened.", timestamp: new Date("2023-06-21T23:16:25Z") },
            { id: 795, sensor_reading_id: 324, anomaly_type: "high vibration", description: "The delivery was updated after a manual check.", timestamp: new Date("2023-02-24T14:33:32Z") },
            { id: 796, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "The team confirmed the details and the refund was closed.", timestamp: new Date("2023-07-10T09:35:20Z") },
            { id: 797, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "A repeat session was rejected the same day.", timestamp: new Date("2023-03-13T10:47:35Z") },
            { id: 798, sensor_reading_id: 395, anomaly_type: "temperature spike", description: "The claim was resolved after an automatic check.", timestamp: new Date("2023-07-04T21:33:46Z") },
            { id: 799, sensor_reading_id: 58, anomaly_type: "high vibration", description: "The team confirmed the details and the report was escalated.", timestamp: new Date("2023-06-27T00:20:16Z") },
            { id: 800, sensor_reading_id: 339, anomaly_type: "low throughput", description: "The claim was completed following a duplicate review.", timestamp: new Date("2023-10-12T04:55:40Z") },
            { id: 801, sensor_reading_id: 186, anomaly_type: "high vibration", description: "The claim was processed — manual case, no further action.", timestamp: new Date("2023-08-25T05:12:12Z") },
            { id: 802, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "The appointment was delayed following a repeat review.", timestamp: new Date("2023-07-23T15:07:36Z") },
            { id: 803, sensor_reading_id: 457, anomaly_type: "temperature spike", description: "No response from the reviewer, so the report was cancelled.", timestamp: new Date("2023-08-22T13:24:39Z") },
            { id: 804, sensor_reading_id: 69, anomaly_type: "temperature spike", description: "The record was rescheduled — manual case, no further action.", timestamp: new Date("2023-08-05T06:26:56Z") },
            { id: 805, sensor_reading_id: 279, anomaly_type: "temperature spike", description: "The team reported a routine issue; the refund was completed.", timestamp: new Date("2023-12-15T21:27:48Z") },
            { id: 806, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "The account owner asked for a change and the order was confirmed.", timestamp: new Date("2023-10-12T09:36:13Z") },
            { id: 807, sensor_reading_id: 92, anomaly_type: "temperature spike", description: "The supplier asked for a change and the record was processed.", timestamp: new Date("2023-09-08T09:06:02Z") },
            { id: 808, sensor_reading_id: 428, anomaly_type: "temperature spike", description: "The courier reported a duplicate issue; the session was reopened.", timestamp: new Date("2023-05-08T07:26:28Z") },
            { id: 809, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "The order was delayed after an incomplete check.", timestamp: new Date("2023-06-12T08:52:43Z") },
            { id: 810, sensor_reading_id: 261, anomaly_type: "temperature spike", description: "A standard follow-up: the order was delayed.", timestamp: new Date("2023-03-06T11:43:24Z") },
            { id: 811, sensor_reading_id: 318, anomaly_type: "temperature spike", description: "The team asked for a change and the booking was completed.", timestamp: new Date("2023-03-04T03:49:01Z") },
            { id: 812, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "The document was completed following a routine review.", timestamp: new Date("2023-02-14T19:10:08Z") },
            { id: 813, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "The account owner asked for a change and the transfer was rejected.", timestamp: new Date("2023-05-20T19:22:07Z") },
            { id: 814, sensor_reading_id: 250, anomaly_type: "temperature spike", description: "A repeat item was reviewed the same day.", timestamp: new Date("2023-05-17T09:24:16Z") },
            { id: 815, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "Flagged as unusual. The customer rejected the order.", timestamp: new Date("2023-12-05T21:45:53Z") },
            { id: 816, sensor_reading_id: 416, anomaly_type: "temperature spike", description: "The document was delayed following an automatic review.", timestamp: new Date("2023-12-15T02:50:10Z") },
            { id: 817, sensor_reading_id: 218, anomaly_type: "temperature spike", description: "An urgent order was completed the same day.", timestamp: new Date("2023-01-25T18:12:54Z") },
            { id: 818, sensor_reading_id: 205, anomaly_type: "high vibration", description: "The document was escalated following a duplicate review.", timestamp: new Date("2023-07-02T14:27:40Z") },
            { id: 819, sensor_reading_id: 113, anomaly_type: "temperature spike", description: "The shipment was processed following a repeat review.", timestamp: new Date("2023-03-03T05:38:15Z") },
            { id: 820, sensor_reading_id: 9, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the account was delayed.", timestamp: new Date("2023-06-19T13:20:35Z") },
            { id: 821, sensor_reading_id: 167, anomaly_type: "temperature spike", description: "The supplier asked for a change and the refund was rescheduled.", timestamp: new Date("2023-05-04T01:19:37Z") },
            { id: 822, sensor_reading_id: 217, anomaly_type: "low throughput", description: "Flagged as manual. The courier updated the claim.", timestamp: new Date("2023-12-04T13:32:16Z") },
            { id: 823, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "Flagged as manual. The customer cancelled the invoice.", timestamp: new Date("2023-03-12T20:56:13Z") },
            { id: 824, sensor_reading_id: 424, anomaly_type: "high vibration", description: "The courier asked for a change and the appointment was completed.", timestamp: new Date("2023-06-21T15:24:13Z") },
            { id: 825, sensor_reading_id: 305, anomaly_type: "temperature spike", description: "No response from an operator, so the payment was delayed.", timestamp: new Date("2023-08-21T16:45:22Z") },
            { id: 826, sensor_reading_id: 14, anomaly_type: "low throughput", description: "Flagged as repeat. The supplier approved the payment.", timestamp: new Date("2023-06-04T20:49:22Z") },
            { id: 827, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "The invoice was updated — partial case, no further action.", timestamp: new Date("2023-05-05T19:51:39Z") },
            { id: 828, sensor_reading_id: 460, anomaly_type: "high vibration", description: "No response from an operator, so the transfer was refunded.", timestamp: new Date("2023-01-28T01:52:31Z") },
            { id: 829, sensor_reading_id: 40, anomaly_type: "temperature spike", description: "Flagged as standard. Support approved the order.", timestamp: new Date("2023-02-15T14:31:33Z") },
            { id: 830, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "No response from the customer, so the account was closed.", timestamp: new Date("2023-01-20T12:00:35Z") },
            { id: 831, sensor_reading_id: 115, anomaly_type: "temperature spike", description: "The courier asked for a change and the shipment was processed.", timestamp: new Date("2023-05-17T04:54:23Z") },
            { id: 832, sensor_reading_id: 18, anomaly_type: "high vibration", description: "An urgent follow-up: the ticket was updated.", timestamp: new Date("2023-01-21T13:18:47Z") },
            { id: 833, sensor_reading_id: 444, anomaly_type: "high vibration", description: "The courier confirmed the details and the delivery was cancelled.", timestamp: new Date("2023-09-30T14:48:12Z") },
            { id: 834, sensor_reading_id: 63, anomaly_type: "temperature spike", description: "A duplicate item was resolved the same day.", timestamp: new Date("2023-11-08T07:45:17Z") },
            { id: 835, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "No response from the supplier, so the delivery was reviewed.", timestamp: new Date("2023-01-05T17:58:08Z") },
            { id: 836, sensor_reading_id: 471, anomaly_type: "high vibration", description: "No response from the supplier, so the record was reviewed.", timestamp: new Date("2023-12-23T04:05:54Z") },
            { id: 837, sensor_reading_id: 408, anomaly_type: "temperature spike", description: "The record was reopened after an incomplete check.", timestamp: new Date("2023-12-06T01:39:05Z") },
            { id: 838, sensor_reading_id: 232, anomaly_type: "temperature spike", description: "An operator reported a repeat issue; the document was completed.", timestamp: new Date("2023-08-31T07:21:54Z") },
            { id: 839, sensor_reading_id: 254, anomaly_type: "high vibration", description: "The transfer was confirmed — unusual case, no further action.", timestamp: new Date("2023-11-25T07:08:39Z") },
            { id: 840, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "No response from an operator, so the record was updated.", timestamp: new Date("2023-09-19T20:03:36Z") },
            { id: 841, sensor_reading_id: 469, anomaly_type: "temperature spike", description: "The supplier reported an incomplete issue; the session was replaced.", timestamp: new Date("2023-09-29T01:31:07Z") },
            { id: 842, sensor_reading_id: 454, anomaly_type: "low throughput", description: "No response from an operator, so the request was rejected.", timestamp: new Date("2023-01-23T17:18:41Z") },
            { id: 843, sensor_reading_id: 262, anomaly_type: "temperature spike", description: "Support asked for a change and the booking was closed.", timestamp: new Date("2023-12-14T00:10:47Z") },
            { id: 844, sensor_reading_id: 290, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the shipment was escalated.", timestamp: new Date("2023-11-26T00:40:31Z") },
            { id: 845, sensor_reading_id: 339, anomaly_type: "temperature spike", description: "Flagged as incomplete. The customer updated the transfer.", timestamp: new Date("2023-08-17T08:32:16Z") },
            { id: 846, sensor_reading_id: 360, anomaly_type: "low throughput", description: "Flagged as unusual. The courier completed the transfer.", timestamp: new Date("2023-01-31T18:16:30Z") },
            { id: 847, sensor_reading_id: 8, anomaly_type: "temperature spike", description: "The booking was closed — manual case, no further action.", timestamp: new Date("2023-05-17T22:16:15Z") },
            { id: 848, sensor_reading_id: 162, anomaly_type: "low throughput", description: "An urgent session was approved the same day.", timestamp: new Date("2023-02-18T20:30:33Z") },
            { id: 849, sensor_reading_id: 513, anomaly_type: "high vibration", description: "A partial follow-up: the shipment was closed.", timestamp: new Date("2023-01-30T11:16:46Z") },
            { id: 850, sensor_reading_id: 153, anomaly_type: "temperature spike", description: "The courier asked for a change and the ticket was resolved.", timestamp: new Date("2023-11-29T21:28:24Z") },
            { id: 851, sensor_reading_id: 44, anomaly_type: "high vibration", description: "An urgent follow-up: the transfer was confirmed.", timestamp: new Date("2023-11-10T06:32:08Z") },
            { id: 852, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "A minor record was rejected the same day.", timestamp: new Date("2023-01-02T16:41:06Z") },
            { id: 853, sensor_reading_id: 487, anomaly_type: "high vibration", description: "The record was refunded after an automatic check.", timestamp: new Date("2023-05-12T18:32:07Z") },
            { id: 854, sensor_reading_id: 378, anomaly_type: "high vibration", description: "The customer confirmed the details and the refund was refunded.", timestamp: new Date("2023-03-16T23:29:14Z") },
            { id: 855, sensor_reading_id: 210, anomaly_type: "temperature spike", description: "No response from the supplier, so the report was refunded.", timestamp: new Date("2023-08-03T00:49:06Z") },
            { id: 856, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "Support reported a standard issue; the order was rejected.", timestamp: new Date("2023-03-10T17:04:39Z") },
            { id: 857, sensor_reading_id: 530, anomaly_type: "low throughput", description: "The appointment was resolved following an unusual review.", timestamp: new Date("2023-06-07T17:33:41Z") },
            { id: 858, sensor_reading_id: 118, anomaly_type: "low throughput", description: "The customer asked for a change and the order was rejected.", timestamp: new Date("2023-12-28T14:34:38Z") },
            { id: 859, sensor_reading_id: 99, anomaly_type: "low throughput", description: "The session was replaced following an incomplete review.", timestamp: new Date("2023-09-27T07:55:06Z") },
            { id: 860, sensor_reading_id: 177, anomaly_type: "temperature spike", description: "No response from the account owner, so the payment was delayed.", timestamp: new Date("2023-09-21T20:45:02Z") },
            { id: 861, sensor_reading_id: 143, anomaly_type: "temperature spike", description: "An operator confirmed the details and the booking was updated.", timestamp: new Date("2023-07-18T13:50:21Z") },
            { id: 862, sensor_reading_id: 363, anomaly_type: "temperature spike", description: "The appointment was refunded after an unusual check.", timestamp: new Date("2023-10-03T06:26:40Z") },
            { id: 863, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "The delivery was reviewed — minor case, no further action.", timestamp: new Date("2023-08-13T05:12:42Z") },
            { id: 864, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The refund was cancelled — minor case, no further action.", timestamp: new Date("2023-09-10T16:06:48Z") },
            { id: 865, sensor_reading_id: 489, anomaly_type: "temperature spike", description: "A manual follow-up: the request was rejected.", timestamp: new Date("2023-08-31T19:07:47Z") },
            { id: 866, sensor_reading_id: 392, anomaly_type: "temperature spike", description: "The session was approved — incomplete case, no further action.", timestamp: new Date("2023-01-02T00:26:22Z") },
            { id: 867, sensor_reading_id: 339, anomaly_type: "temperature spike", description: "Flagged as manual. The customer closed the ticket.", timestamp: new Date("2023-03-31T10:45:04Z") },
            { id: 868, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "The booking was refunded — incomplete case, no further action.", timestamp: new Date("2023-05-06T23:42:55Z") },
            { id: 869, sensor_reading_id: 350, anomaly_type: "temperature spike", description: "A manual appointment was refunded the same day.", timestamp: new Date("2023-02-13T09:10:21Z") },
            { id: 870, sensor_reading_id: 57, anomaly_type: "temperature spike", description: "The account owner reported a minor issue; the order was replaced.", timestamp: new Date("2023-07-07T04:03:11Z") },
            { id: 871, sensor_reading_id: 172, anomaly_type: "temperature spike", description: "No response from support, so the shipment was reviewed.", timestamp: new Date("2023-10-06T15:43:55Z") },
            { id: 872, sensor_reading_id: 326, anomaly_type: "temperature spike", description: "The courier reported a minor issue; the payment was rescheduled.", timestamp: new Date("2023-12-25T04:07:11Z") },
            { id: 873, sensor_reading_id: 457, anomaly_type: "temperature spike", description: "The booking was updated after an unusual check.", timestamp: new Date("2023-03-18T04:52:32Z") },
            { id: 874, sensor_reading_id: 260, anomaly_type: "high vibration", description: "Flagged as minor. The customer escalated the delivery.", timestamp: new Date("2023-04-30T17:23:09Z") },
            { id: 875, sensor_reading_id: 182, anomaly_type: "temperature spike", description: "The booking was rescheduled after a duplicate check.", timestamp: new Date("2023-10-08T03:04:20Z") },
            { id: 876, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "The account owner asked for a change and the session was approved.", timestamp: new Date("2023-05-22T20:21:10Z") },
            { id: 877, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "A duplicate delivery was escalated the same day.", timestamp: new Date("2023-02-23T14:33:38Z") },
            { id: 878, sensor_reading_id: 514, anomaly_type: "temperature spike", description: "The appointment was completed following an incomplete review.", timestamp: new Date("2023-07-10T02:49:32Z") },
            { id: 879, sensor_reading_id: 85, anomaly_type: "high vibration", description: "An automatic item was rejected the same day.", timestamp: new Date("2023-06-08T16:25:02Z") },
            { id: 880, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "The refund was refunded following an urgent review.", timestamp: new Date("2023-10-11T11:47:27Z") },
            { id: 881, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "The session was resolved after a manual check.", timestamp: new Date("2023-09-25T09:11:44Z") },
            { id: 882, sensor_reading_id: 277, anomaly_type: "high vibration", description: "The refund was delayed after a minor check.", timestamp: new Date("2023-09-15T03:49:22Z") },
            { id: 883, sensor_reading_id: 188, anomaly_type: "temperature spike", description: "The team reported a partial issue; the delivery was reopened.", timestamp: new Date("2023-02-11T11:58:56Z") },
            { id: 884, sensor_reading_id: 514, anomaly_type: "temperature spike", description: "An incomplete follow-up: the record was confirmed.", timestamp: new Date("2023-07-23T13:21:52Z") },
            { id: 885, sensor_reading_id: 349, anomaly_type: "low throughput", description: "An operator confirmed the details and the refund was reviewed.", timestamp: new Date("2023-01-29T09:39:29Z") },
            { id: 886, sensor_reading_id: 20, anomaly_type: "low throughput", description: "Flagged as late. The customer resolved the account.", timestamp: new Date("2023-02-06T16:11:53Z") },
            { id: 887, sensor_reading_id: 194, anomaly_type: "temperature spike", description: "The shipment was closed after a routine check.", timestamp: new Date("2023-08-15T16:13:49Z") },
            { id: 888, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "The customer reported a duplicate issue; the session was confirmed.", timestamp: new Date("2023-09-29T15:09:02Z") },
            { id: 889, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "No response from the reviewer, so the claim was confirmed.", timestamp: new Date("2023-06-28T04:16:45Z") },
            { id: 890, sensor_reading_id: 291, anomaly_type: "temperature spike", description: "The account owner reported a standard issue; the record was resolved.", timestamp: new Date("2023-01-28T15:26:07Z") },
            { id: 891, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "The report was refunded following a standard review.", timestamp: new Date("2023-03-13T03:23:40Z") },
            { id: 892, sensor_reading_id: 142, anomaly_type: "high vibration", description: "Support reported a standard issue; the request was escalated.", timestamp: new Date("2023-05-06T04:56:12Z") },
            { id: 893, sensor_reading_id: 286, anomaly_type: "high vibration", description: "No response from the reviewer, so the claim was confirmed.", timestamp: new Date("2023-11-11T21:36:00Z") },
            { id: 894, sensor_reading_id: 487, anomaly_type: "high vibration", description: "Support asked for a change and the order was reviewed.", timestamp: new Date("2023-07-25T07:54:51Z") },
            { id: 895, sensor_reading_id: 395, anomaly_type: "high vibration", description: "No response from support, so the claim was reopened.", timestamp: new Date("2023-06-29T11:37:32Z") },
            { id: 896, sensor_reading_id: 218, anomaly_type: "temperature spike", description: "The refund was replaced following a standard review.", timestamp: new Date("2023-04-30T09:00:21Z") },
            { id: 897, sensor_reading_id: 514, anomaly_type: "temperature spike", description: "The ticket was replaced after a late check.", timestamp: new Date("2023-07-19T09:41:59Z") },
            { id: 898, sensor_reading_id: 331, anomaly_type: "high vibration", description: "The team reported an urgent issue; the record was refunded.", timestamp: new Date("2023-07-26T06:59:25Z") },
            { id: 899, sensor_reading_id: 45, anomaly_type: "low throughput", description: "A repeat follow-up: the session was cancelled.", timestamp: new Date("2023-06-15T20:51:46Z") },
            { id: 900, sensor_reading_id: 363, anomaly_type: "low throughput", description: "An automatic document was resolved the same day.", timestamp: new Date("2023-04-30T05:04:41Z") },
            { id: 901, sensor_reading_id: 362, anomaly_type: "temperature spike", description: "The account was closed — standard case, no further action.", timestamp: new Date("2023-10-10T01:50:55Z") },
            { id: 902, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "An operator confirmed the details and the request was rejected.", timestamp: new Date("2023-07-05T07:12:53Z") },
            { id: 903, sensor_reading_id: 120, anomaly_type: "low throughput", description: "A manual shipment was updated the same day.", timestamp: new Date("2023-03-07T09:30:21Z") },
            { id: 904, sensor_reading_id: 428, anomaly_type: "temperature spike", description: "Flagged as partial. The supplier reopened the invoice.", timestamp: new Date("2023-04-04T14:17:52Z") },
            { id: 905, sensor_reading_id: 88, anomaly_type: "high vibration", description: "Flagged as manual. The team delayed the request.", timestamp: new Date("2023-02-27T00:09:14Z") },
            { id: 906, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "The document was reviewed after an urgent check.", timestamp: new Date("2023-06-01T14:56:58Z") },
            { id: 907, sensor_reading_id: 274, anomaly_type: "temperature spike", description: "A partial follow-up: the payment was completed.", timestamp: new Date("2023-11-18T16:15:19Z") },
            { id: 908, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "The ticket was refunded following a repeat review.", timestamp: new Date("2023-04-08T00:38:54Z") },
            { id: 909, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "The booking was updated following an unusual review.", timestamp: new Date("2023-05-13T13:47:20Z") },
            { id: 910, sensor_reading_id: 310, anomaly_type: "high vibration", description: "The payment was rescheduled following an unusual review.", timestamp: new Date("2023-09-13T18:46:14Z") },
            { id: 911, sensor_reading_id: 88, anomaly_type: "temperature spike", description: "No response from the account owner, so the report was rejected.", timestamp: new Date("2023-02-16T07:45:08Z") },
            { id: 912, sensor_reading_id: 213, anomaly_type: "high vibration", description: "No response from the account owner, so the shipment was replaced.", timestamp: new Date("2023-05-02T00:54:07Z") },
            { id: 913, sensor_reading_id: 218, anomaly_type: "temperature spike", description: "The supplier reported a minor issue; the delivery was approved.", timestamp: new Date("2023-06-26T00:28:04Z") },
            { id: 914, sensor_reading_id: 475, anomaly_type: "temperature spike", description: "No response from the courier, so the claim was cancelled.", timestamp: new Date("2023-03-15T20:07:44Z") },
            { id: 915, sensor_reading_id: 398, anomaly_type: "temperature spike", description: "Flagged as routine. The courier reviewed the request.", timestamp: new Date("2023-07-18T19:56:32Z") },
            { id: 916, sensor_reading_id: 353, anomaly_type: "temperature spike", description: "The request was confirmed after a duplicate check.", timestamp: new Date("2023-10-23T02:00:56Z") },
            { id: 917, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "The customer asked for a change and the ticket was delayed.", timestamp: new Date("2023-04-03T13:02:51Z") },
            { id: 918, sensor_reading_id: 359, anomaly_type: "temperature spike", description: "Flagged as minor. Support approved the delivery.", timestamp: new Date("2023-01-12T00:46:21Z") },
            { id: 919, sensor_reading_id: 38, anomaly_type: "low throughput", description: "Flagged as routine. The reviewer escalated the request.", timestamp: new Date("2023-01-13T20:15:01Z") },
            { id: 920, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "The courier reported an unusual issue; the booking was resolved.", timestamp: new Date("2023-08-29T19:45:16Z") },
            { id: 921, sensor_reading_id: 339, anomaly_type: "temperature spike", description: "A late follow-up: the document was replaced.", timestamp: new Date("2023-05-25T17:19:31Z") },
            { id: 922, sensor_reading_id: 505, anomaly_type: "temperature spike", description: "A late follow-up: the shipment was updated.", timestamp: new Date("2023-07-14T19:32:42Z") },
            { id: 923, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "The claim was completed following a duplicate review.", timestamp: new Date("2023-07-14T19:44:09Z") },
            { id: 924, sensor_reading_id: 207, anomaly_type: "temperature spike", description: "No response from the courier, so the document was completed.", timestamp: new Date("2023-05-17T20:29:25Z") },
            { id: 925, sensor_reading_id: 5, anomaly_type: "high vibration", description: "The shipment was updated following a routine review.", timestamp: new Date("2023-07-15T18:51:10Z") },
            { id: 926, sensor_reading_id: 360, anomaly_type: "high vibration", description: "The document was completed after an automatic check.", timestamp: new Date("2023-04-01T17:16:15Z") },
            { id: 927, sensor_reading_id: 171, anomaly_type: "low throughput", description: "The order was approved — unusual case, no further action.", timestamp: new Date("2023-10-31T05:36:53Z") },
            { id: 928, sensor_reading_id: 66, anomaly_type: "high vibration", description: "The report was processed following a minor review.", timestamp: new Date("2023-11-25T02:58:12Z") },
            { id: 929, sensor_reading_id: 227, anomaly_type: "temperature spike", description: "The customer reported a standard issue; the claim was reviewed.", timestamp: new Date("2023-05-07T20:03:59Z") },
            { id: 930, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "The appointment was confirmed after a minor check.", timestamp: new Date("2023-11-10T06:13:51Z") },
            { id: 931, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "Flagged as minor. The account owner replaced the booking.", timestamp: new Date("2023-08-15T06:46:42Z") },
            { id: 932, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "Flagged as incomplete. The supplier updated the report.", timestamp: new Date("2023-06-25T21:17:10Z") },
            { id: 933, sensor_reading_id: 533, anomaly_type: "low throughput", description: "An operator reported a manual issue; the delivery was reopened.", timestamp: new Date("2023-03-27T12:08:43Z") },
            { id: 934, sensor_reading_id: 40, anomaly_type: "low throughput", description: "The invoice was refunded following a duplicate review.", timestamp: new Date("2023-07-07T01:17:45Z") },
            { id: 935, sensor_reading_id: 30, anomaly_type: "low throughput", description: "No response from the supplier, so the payment was escalated.", timestamp: new Date("2023-12-04T08:21:48Z") },
            { id: 936, sensor_reading_id: 355, anomaly_type: "temperature spike", description: "A standard booking was confirmed the same day.", timestamp: new Date("2023-04-22T02:20:27Z") },
            { id: 937, sensor_reading_id: 425, anomaly_type: "temperature spike", description: "An unusual report was closed the same day.", timestamp: new Date("2023-10-11T02:18:03Z") },
            { id: 938, sensor_reading_id: 153, anomaly_type: "high vibration", description: "The reviewer confirmed the details and the refund was refunded.", timestamp: new Date("2023-04-13T20:11:11Z") },
            { id: 939, sensor_reading_id: 273, anomaly_type: "temperature spike", description: "No response from the reviewer, so the request was resolved.", timestamp: new Date("2023-08-04T03:20:47Z") },
            { id: 940, sensor_reading_id: 260, anomaly_type: "low throughput", description: "Flagged as urgent. Support rejected the transfer.", timestamp: new Date("2023-03-10T18:12:30Z") },
            { id: 941, sensor_reading_id: 216, anomaly_type: "temperature spike", description: "The team confirmed the details and the request was closed.", timestamp: new Date("2023-10-11T11:38:21Z") },
            { id: 942, sensor_reading_id: 182, anomaly_type: "high vibration", description: "The supplier reported a manual issue; the record was closed.", timestamp: new Date("2023-06-15T20:27:48Z") },
            { id: 943, sensor_reading_id: 216, anomaly_type: "temperature spike", description: "The payment was delayed — unusual case, no further action.", timestamp: new Date("2023-08-22T02:28:37Z") },
            { id: 944, sensor_reading_id: 404, anomaly_type: "temperature spike", description: "No response from an operator, so the payment was refunded.", timestamp: new Date("2023-08-09T14:02:21Z") },
            { id: 945, sensor_reading_id: 23, anomaly_type: "low throughput", description: "An incomplete follow-up: the claim was updated.", timestamp: new Date("2023-01-20T06:59:26Z") },
            { id: 946, sensor_reading_id: 221, anomaly_type: "temperature spike", description: "A manual payment was rejected the same day.", timestamp: new Date("2023-11-24T14:53:22Z") },
            { id: 947, sensor_reading_id: 177, anomaly_type: "temperature spike", description: "The session was replaced after an urgent check.", timestamp: new Date("2023-09-22T18:21:04Z") },
            { id: 948, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "The delivery was reopened after a minor check.", timestamp: new Date("2023-06-08T09:46:14Z") },
            { id: 949, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "An operator reported an unusual issue; the document was reviewed.", timestamp: new Date("2023-07-17T23:58:35Z") },
            { id: 950, sensor_reading_id: 307, anomaly_type: "temperature spike", description: "Flagged as routine. Support escalated the shipment.", timestamp: new Date("2023-01-21T21:01:37Z") },
            { id: 951, sensor_reading_id: 397, anomaly_type: "temperature spike", description: "Flagged as minor. The supplier delayed the delivery.", timestamp: new Date("2023-10-16T06:06:19Z") },
            { id: 952, sensor_reading_id: 460, anomaly_type: "temperature spike", description: "The supplier reported a duplicate issue; the item was delayed.", timestamp: new Date("2023-03-12T22:37:32Z") },
            { id: 953, sensor_reading_id: 416, anomaly_type: "temperature spike", description: "The customer asked for a change and the request was replaced.", timestamp: new Date("2023-09-03T16:00:14Z") },
            { id: 954, sensor_reading_id: 472, anomaly_type: "low throughput", description: "The request was closed after an unusual check.", timestamp: new Date("2023-05-05T01:10:35Z") },
            { id: 955, sensor_reading_id: 224, anomaly_type: "low throughput", description: "The supplier asked for a change and the refund was confirmed.", timestamp: new Date("2023-11-23T13:31:45Z") },
            { id: 956, sensor_reading_id: 230, anomaly_type: "temperature spike", description: "No response from the customer, so the request was closed.", timestamp: new Date("2023-12-18T00:15:28Z") },
            { id: 957, sensor_reading_id: 35, anomaly_type: "temperature spike", description: "The booking was rescheduled following a duplicate review.", timestamp: new Date("2023-02-02T00:19:33Z") },
            { id: 958, sensor_reading_id: 77, anomaly_type: "temperature spike", description: "Flagged as automatic. The supplier approved the booking.", timestamp: new Date("2023-08-26T10:59:04Z") },
            { id: 959, sensor_reading_id: 211, anomaly_type: "high vibration", description: "The customer asked for a change and the order was reopened.", timestamp: new Date("2023-02-04T07:52:17Z") },
            { id: 960, sensor_reading_id: 151, anomaly_type: "temperature spike", description: "A minor transfer was rejected the same day.", timestamp: new Date("2023-04-29T22:46:25Z") },
            { id: 961, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "An incomplete follow-up: the invoice was reviewed.", timestamp: new Date("2023-03-14T00:16:00Z") },
            { id: 962, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "No response from the supplier, so the request was confirmed.", timestamp: new Date("2023-05-02T21:08:31Z") },
            { id: 963, sensor_reading_id: 255, anomaly_type: "high vibration", description: "An urgent follow-up: the item was rejected.", timestamp: new Date("2023-08-08T23:28:35Z") },
            { id: 964, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "A partial refund was reopened the same day.", timestamp: new Date("2023-05-04T05:25:53Z") },
            { id: 965, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "A standard transfer was processed the same day.", timestamp: new Date("2023-12-08T04:12:29Z") },
            { id: 966, sensor_reading_id: 172, anomaly_type: "low throughput", description: "No response from the supplier, so the request was escalated.", timestamp: new Date("2023-08-09T20:54:43Z") },
            { id: 967, sensor_reading_id: 312, anomaly_type: "high vibration", description: "The record was delayed — automatic case, no further action.", timestamp: new Date("2023-04-13T07:05:12Z") },
            { id: 968, sensor_reading_id: 225, anomaly_type: "low throughput", description: "The shipment was reopened following a repeat review.", timestamp: new Date("2023-05-29T11:58:59Z") },
            { id: 969, sensor_reading_id: 14, anomaly_type: "high vibration", description: "The delivery was replaced after a standard check.", timestamp: new Date("2023-04-20T08:59:09Z") },
            { id: 970, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "The report was completed after an unusual check.", timestamp: new Date("2023-03-31T00:13:03Z") },
            { id: 971, sensor_reading_id: 282, anomaly_type: "high vibration", description: "The courier confirmed the details and the claim was confirmed.", timestamp: new Date("2023-12-20T06:39:44Z") },
            { id: 972, sensor_reading_id: 533, anomaly_type: "low throughput", description: "A manual follow-up: the item was updated.", timestamp: new Date("2023-05-16T01:46:55Z") },
            { id: 973, sensor_reading_id: 362, anomaly_type: "high vibration", description: "The booking was cancelled after an automatic check.", timestamp: new Date("2023-03-08T03:29:07Z") },
            { id: 974, sensor_reading_id: 101, anomaly_type: "temperature spike", description: "No response from the supplier, so the order was reviewed.", timestamp: new Date("2023-10-13T21:42:21Z") },
            { id: 975, sensor_reading_id: 56, anomaly_type: "temperature spike", description: "The team reported an automatic issue; the ticket was completed.", timestamp: new Date("2023-03-26T07:01:13Z") },
            { id: 976, sensor_reading_id: 396, anomaly_type: "temperature spike", description: "No response from the team, so the booking was processed.", timestamp: new Date("2023-03-23T04:24:49Z") },
            { id: 977, sensor_reading_id: 231, anomaly_type: "temperature spike", description: "The order was processed — urgent case, no further action.", timestamp: new Date("2023-02-09T01:40:23Z") },
            { id: 978, sensor_reading_id: 80, anomaly_type: "high vibration", description: "No response from support, so the order was refunded.", timestamp: new Date("2023-11-01T11:46:33Z") },
            { id: 979, sensor_reading_id: 271, anomaly_type: "temperature spike", description: "The booking was confirmed — manual case, no further action.", timestamp: new Date("2023-12-25T01:37:48Z") },
            { id: 980, sensor_reading_id: 532, anomaly_type: "low throughput", description: "No response from the account owner, so the payment was resolved.", timestamp: new Date("2023-04-06T23:36:14Z") },
            { id: 981, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "An automatic follow-up: the claim was completed.", timestamp: new Date("2023-02-12T07:54:07Z") },
            { id: 982, sensor_reading_id: 164, anomaly_type: "high vibration", description: "A standard follow-up: the appointment was rescheduled.", timestamp: new Date("2023-11-14T19:30:50Z") },
            { id: 983, sensor_reading_id: 74, anomaly_type: "high vibration", description: "No response from the team, so the report was cancelled.", timestamp: new Date("2023-04-01T16:08:40Z") },
            { id: 984, sensor_reading_id: 101, anomaly_type: "temperature spike", description: "The customer confirmed the details and the payment was replaced.", timestamp: new Date("2023-04-02T08:18:55Z") },
            { id: 985, sensor_reading_id: 254, anomaly_type: "temperature spike", description: "No response from the account owner, so the shipment was delayed.", timestamp: new Date("2023-03-05T09:45:03Z") },
            { id: 986, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "An urgent account was cancelled the same day.", timestamp: new Date("2023-01-14T00:10:22Z") },
            { id: 987, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "A repeat order was rescheduled the same day.", timestamp: new Date("2023-03-27T22:47:04Z") },
            { id: 988, sensor_reading_id: 512, anomaly_type: "low throughput", description: "A duplicate follow-up: the order was updated.", timestamp: new Date("2023-08-12T03:29:28Z") },
            { id: 989, sensor_reading_id: 466, anomaly_type: "high vibration", description: "Flagged as duplicate. The customer cancelled the report.", timestamp: new Date("2023-04-09T08:50:26Z") },
            { id: 990, sensor_reading_id: 11, anomaly_type: "temperature spike", description: "The request was replaced after a duplicate check.", timestamp: new Date("2023-03-27T10:24:52Z") },
            { id: 991, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "No response from the reviewer, so the delivery was processed.", timestamp: new Date("2023-05-12T12:59:47Z") },
            { id: 992, sensor_reading_id: 448, anomaly_type: "temperature spike", description: "The order was rescheduled after a manual check.", timestamp: new Date("2023-04-19T18:38:48Z") },
            { id: 993, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "The ticket was cancelled following a routine review.", timestamp: new Date("2023-08-03T13:13:34Z") },
            { id: 994, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "The payment was escalated following an urgent review.", timestamp: new Date("2023-11-10T00:25:15Z") },
            { id: 995, sensor_reading_id: 194, anomaly_type: "temperature spike", description: "A duplicate follow-up: the refund was rescheduled.", timestamp: new Date("2023-06-10T16:09:25Z") },
            { id: 996, sensor_reading_id: 430, anomaly_type: "temperature spike", description: "A partial follow-up: the delivery was confirmed.", timestamp: new Date("2023-04-20T18:36:41Z") },
            { id: 997, sensor_reading_id: 148, anomaly_type: "high vibration", description: "Flagged as minor. The team rescheduled the session.", timestamp: new Date("2023-06-19T12:56:01Z") },
            { id: 998, sensor_reading_id: 265, anomaly_type: "temperature spike", description: "An operator confirmed the details and the booking was resolved.", timestamp: new Date("2023-03-15T01:39:33Z") },
            { id: 999, sensor_reading_id: 396, anomaly_type: "temperature spike", description: "The reviewer reported a manual issue; the delivery was rejected.", timestamp: new Date("2023-04-19T01:06:59Z") },
            { id: 1000, sensor_reading_id: 175, anomaly_type: "temperature spike", description: "An incomplete ticket was escalated the same day.", timestamp: new Date("2023-01-12T14:04:00Z") },
        ],
    });
    await prisma.anomalies.createMany({
        data: [
            { id: 1001, sensor_reading_id: 103, anomaly_type: "temperature spike", description: "Flagged as manual. The courier escalated the account.", timestamp: new Date("2023-09-08T09:22:05Z") },
            { id: 1002, sensor_reading_id: 182, anomaly_type: "temperature spike", description: "The order was processed after an unusual check.", timestamp: new Date("2023-11-24T01:12:12Z") },
            { id: 1003, sensor_reading_id: 449, anomaly_type: "low throughput", description: "A late transfer was refunded the same day.", timestamp: new Date("2023-11-02T08:22:02Z") },
            { id: 1004, sensor_reading_id: 68, anomaly_type: "temperature spike", description: "A partial document was processed the same day.", timestamp: new Date("2023-03-04T23:11:50Z") },
            { id: 1005, sensor_reading_id: 517, anomaly_type: "temperature spike", description: "The team confirmed the details and the session was reopened.", timestamp: new Date("2023-11-14T19:38:53Z") },
            { id: 1006, sensor_reading_id: 88, anomaly_type: "high vibration", description: "A routine request was completed the same day.", timestamp: new Date("2023-02-16T04:47:03Z") },
            { id: 1007, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "A repeat appointment was delayed the same day.", timestamp: new Date("2023-12-08T05:30:23Z") },
            { id: 1008, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "The invoice was delayed — late case, no further action.", timestamp: new Date("2023-02-08T20:03:44Z") },
            { id: 1009, sensor_reading_id: 148, anomaly_type: "high vibration", description: "The request was updated following a repeat review.", timestamp: new Date("2023-01-13T17:12:40Z") },
            { id: 1010, sensor_reading_id: 514, anomaly_type: "temperature spike", description: "Flagged as partial. The supplier replaced the invoice.", timestamp: new Date("2023-02-11T04:03:26Z") },
            { id: 1011, sensor_reading_id: 242, anomaly_type: "temperature spike", description: "A partial follow-up: the appointment was closed.", timestamp: new Date("2023-01-10T17:21:43Z") },
            { id: 1012, sensor_reading_id: 169, anomaly_type: "temperature spike", description: "The order was reviewed — incomplete case, no further action.", timestamp: new Date("2023-12-17T11:25:02Z") },
            { id: 1013, sensor_reading_id: 349, anomaly_type: "low throughput", description: "The supplier reported a manual issue; the shipment was rejected.", timestamp: new Date("2023-08-20T23:11:39Z") },
            { id: 1014, sensor_reading_id: 488, anomaly_type: "temperature spike", description: "Support reported a standard issue; the order was approved.", timestamp: new Date("2023-09-11T06:30:27Z") },
            { id: 1015, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "A late invoice was resolved the same day.", timestamp: new Date("2023-07-22T04:35:54Z") },
            { id: 1016, sensor_reading_id: 185, anomaly_type: "temperature spike", description: "Support reported an urgent issue; the record was completed.", timestamp: new Date("2023-10-18T13:08:19Z") },
            { id: 1017, sensor_reading_id: 88, anomaly_type: "high vibration", description: "No response from support, so the document was delayed.", timestamp: new Date("2023-10-18T10:30:47Z") },
            { id: 1018, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "Support asked for a change and the request was updated.", timestamp: new Date("2023-12-05T19:49:52Z") },
            { id: 1019, sensor_reading_id: 246, anomaly_type: "temperature spike", description: "The session was reopened after a duplicate check.", timestamp: new Date("2023-03-20T22:40:05Z") },
            { id: 1020, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "No response from the account owner, so the ticket was rescheduled.", timestamp: new Date("2023-09-09T05:26:19Z") },
            { id: 1021, sensor_reading_id: 260, anomaly_type: "temperature spike", description: "The courier confirmed the details and the payment was rescheduled.", timestamp: new Date("2023-09-03T03:06:58Z") },
            { id: 1022, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "No response from the account owner, so the request was reopened.", timestamp: new Date("2023-02-18T04:06:51Z") },
            { id: 1023, sensor_reading_id: 486, anomaly_type: "temperature spike", description: "The courier confirmed the details and the document was resolved.", timestamp: new Date("2023-02-04T09:50:52Z") },
            { id: 1024, sensor_reading_id: 523, anomaly_type: "temperature spike", description: "Support asked for a change and the booking was confirmed.", timestamp: new Date("2023-03-25T11:32:04Z") },
            { id: 1025, sensor_reading_id: 184, anomaly_type: "low throughput", description: "The payment was confirmed following an incomplete review.", timestamp: new Date("2023-06-18T19:28:13Z") },
            { id: 1026, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "No response from an operator, so the shipment was delayed.", timestamp: new Date("2023-08-04T05:37:24Z") },
            { id: 1027, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "No response from the supplier, so the appointment was processed.", timestamp: new Date("2023-11-19T22:44:32Z") },
            { id: 1028, sensor_reading_id: 353, anomaly_type: "low throughput", description: "The session was replaced following a duplicate review.", timestamp: new Date("2023-07-26T22:45:19Z") },
            { id: 1029, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "The team asked for a change and the report was processed.", timestamp: new Date("2023-10-06T05:01:28Z") },
            { id: 1030, sensor_reading_id: 303, anomaly_type: "high vibration", description: "The document was reopened — late case, no further action.", timestamp: new Date("2023-02-15T01:59:21Z") },
            { id: 1031, sensor_reading_id: 103, anomaly_type: "high vibration", description: "The account owner reported an incomplete issue; the invoice was replaced.", timestamp: new Date("2023-11-04T12:19:45Z") },
            { id: 1032, sensor_reading_id: 232, anomaly_type: "temperature spike", description: "A manual follow-up: the payment was reviewed.", timestamp: new Date("2023-02-06T11:48:50Z") },
            { id: 1033, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "Support confirmed the details and the appointment was resolved.", timestamp: new Date("2023-09-02T08:25:22Z") },
            { id: 1034, sensor_reading_id: 91, anomaly_type: "temperature spike", description: "Flagged as late. The reviewer reviewed the record.", timestamp: new Date("2023-06-20T18:19:08Z") },
            { id: 1035, sensor_reading_id: 419, anomaly_type: "temperature spike", description: "The record was confirmed following an automatic review.", timestamp: new Date("2023-01-06T00:02:12Z") },
            { id: 1036, sensor_reading_id: 91, anomaly_type: "high vibration", description: "The payment was completed after an incomplete check.", timestamp: new Date("2023-11-03T01:55:07Z") },
            { id: 1037, sensor_reading_id: 265, anomaly_type: "temperature spike", description: "The record was rescheduled — routine case, no further action.", timestamp: new Date("2023-05-09T01:20:54Z") },
            { id: 1038, sensor_reading_id: 224, anomaly_type: "temperature spike", description: "Flagged as minor. An operator rescheduled the invoice.", timestamp: new Date("2023-07-18T14:56:44Z") },
            { id: 1039, sensor_reading_id: 533, anomaly_type: "temperature spike", description: "The customer confirmed the details and the ticket was closed.", timestamp: new Date("2023-03-23T22:25:21Z") },
            { id: 1040, sensor_reading_id: 61, anomaly_type: "high vibration", description: "The invoice was completed — standard case, no further action.", timestamp: new Date("2023-08-28T01:29:22Z") },
            { id: 1041, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "The courier confirmed the details and the account was replaced.", timestamp: new Date("2023-12-11T18:12:28Z") },
            { id: 1042, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "An operator asked for a change and the ticket was reopened.", timestamp: new Date("2023-11-09T08:02:11Z") },
            { id: 1043, sensor_reading_id: 476, anomaly_type: "temperature spike", description: "The account owner reported an incomplete issue; the order was delayed.", timestamp: new Date("2023-05-14T01:26:49Z") },
            { id: 1044, sensor_reading_id: 419, anomaly_type: "temperature spike", description: "The payment was completed after an urgent check.", timestamp: new Date("2023-03-20T04:24:15Z") },
            { id: 1045, sensor_reading_id: 108, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the report was rejected.", timestamp: new Date("2023-06-28T05:23:01Z") },
            { id: 1046, sensor_reading_id: 105, anomaly_type: "temperature spike", description: "An urgent record was reviewed the same day.", timestamp: new Date("2023-04-22T06:20:46Z") },
            { id: 1047, sensor_reading_id: 188, anomaly_type: "high vibration", description: "The claim was rejected after a manual check.", timestamp: new Date("2023-02-11T19:21:02Z") },
            { id: 1048, sensor_reading_id: 457, anomaly_type: "temperature spike", description: "The request was confirmed after an urgent check.", timestamp: new Date("2023-10-01T09:29:00Z") },
            { id: 1049, sensor_reading_id: 488, anomaly_type: "high vibration", description: "A late follow-up: the booking was processed.", timestamp: new Date("2023-03-06T20:26:04Z") },
            { id: 1050, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "A duplicate follow-up: the payment was delayed.", timestamp: new Date("2023-07-23T06:04:47Z") },
            { id: 1051, sensor_reading_id: 66, anomaly_type: "temperature spike", description: "Flagged as duplicate. The reviewer resolved the account.", timestamp: new Date("2023-03-06T10:41:11Z") },
            { id: 1052, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "An incomplete follow-up: the session was resolved.", timestamp: new Date("2023-01-20T13:58:07Z") },
            { id: 1053, sensor_reading_id: 550, anomaly_type: "temperature spike", description: "The request was rejected following an unusual review.", timestamp: new Date("2023-05-17T02:03:38Z") },
            { id: 1054, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "The shipment was delayed following an urgent review.", timestamp: new Date("2023-04-24T04:26:09Z") },
            { id: 1055, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "The account owner asked for a change and the request was updated.", timestamp: new Date("2023-08-05T05:43:12Z") },
            { id: 1056, sensor_reading_id: 105, anomaly_type: "high vibration", description: "The transfer was processed following a partial review.", timestamp: new Date("2023-05-09T13:55:14Z") },
            { id: 1057, sensor_reading_id: 454, anomaly_type: "high vibration", description: "Flagged as routine. The courier cancelled the appointment.", timestamp: new Date("2023-01-16T01:15:17Z") },
            { id: 1058, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "The payment was reviewed — routine case, no further action.", timestamp: new Date("2023-09-18T11:48:13Z") },
            { id: 1059, sensor_reading_id: 121, anomaly_type: "low throughput", description: "The account owner reported a partial issue; the shipment was delayed.", timestamp: new Date("2023-03-15T14:48:39Z") },
            { id: 1060, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the report was delayed.", timestamp: new Date("2023-12-07T17:58:26Z") },
            { id: 1061, sensor_reading_id: 388, anomaly_type: "low throughput", description: "A late invoice was updated the same day.", timestamp: new Date("2023-11-28T00:17:25Z") },
            { id: 1062, sensor_reading_id: 190, anomaly_type: "low throughput", description: "A repeat ticket was processed the same day.", timestamp: new Date("2023-02-07T13:30:28Z") },
            { id: 1063, sensor_reading_id: 312, anomaly_type: "low throughput", description: "The claim was confirmed following a repeat review.", timestamp: new Date("2023-07-22T06:33:17Z") },
            { id: 1064, sensor_reading_id: 441, anomaly_type: "low throughput", description: "An operator confirmed the details and the delivery was resolved.", timestamp: new Date("2023-01-06T12:32:06Z") },
            { id: 1065, sensor_reading_id: 155, anomaly_type: "temperature spike", description: "The payment was reopened after a standard check.", timestamp: new Date("2023-05-28T21:42:13Z") },
            { id: 1066, sensor_reading_id: 466, anomaly_type: "high vibration", description: "A minor follow-up: the invoice was delayed.", timestamp: new Date("2023-04-23T18:00:16Z") },
            { id: 1067, sensor_reading_id: 56, anomaly_type: "low throughput", description: "The courier reported a routine issue; the transfer was updated.", timestamp: new Date("2023-03-02T09:32:31Z") },
            { id: 1068, sensor_reading_id: 193, anomaly_type: "low throughput", description: "The order was completed following a late review.", timestamp: new Date("2023-04-22T01:12:08Z") },
            { id: 1069, sensor_reading_id: 322, anomaly_type: "high vibration", description: "An operator reported an urgent issue; the delivery was closed.", timestamp: new Date("2023-06-24T08:16:33Z") },
            { id: 1070, sensor_reading_id: 317, anomaly_type: "temperature spike", description: "The appointment was refunded following an automatic review.", timestamp: new Date("2023-06-07T17:19:49Z") },
            { id: 1071, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "Flagged as unusual. An operator cancelled the delivery.", timestamp: new Date("2023-10-08T02:56:06Z") },
            { id: 1072, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "The ticket was reopened after a partial check.", timestamp: new Date("2023-05-15T05:02:53Z") },
            { id: 1073, sensor_reading_id: 22, anomaly_type: "low throughput", description: "The transfer was delayed after an automatic check.", timestamp: new Date("2023-09-11T11:52:22Z") },
            { id: 1074, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "The document was reviewed following a late review.", timestamp: new Date("2023-07-10T04:58:59Z") },
            { id: 1075, sensor_reading_id: 230, anomaly_type: "low throughput", description: "No response from the supplier, so the payment was resolved.", timestamp: new Date("2023-07-26T23:51:32Z") },
            { id: 1076, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "No response from the courier, so the report was closed.", timestamp: new Date("2023-06-04T18:01:07Z") },
            { id: 1077, sensor_reading_id: 173, anomaly_type: "low throughput", description: "The claim was rejected following a manual review.", timestamp: new Date("2023-04-17T06:37:47Z") },
            { id: 1078, sensor_reading_id: 471, anomaly_type: "temperature spike", description: "The booking was delayed after a routine check.", timestamp: new Date("2023-02-08T12:35:46Z") },
            { id: 1079, sensor_reading_id: 9, anomaly_type: "temperature spike", description: "The supplier reported a duplicate issue; the request was reviewed.", timestamp: new Date("2023-10-30T21:29:53Z") },
            { id: 1080, sensor_reading_id: 2, anomaly_type: "low throughput", description: "The courier reported a partial issue; the order was refunded.", timestamp: new Date("2023-01-02T09:50:24Z") },
            { id: 1081, sensor_reading_id: 206, anomaly_type: "temperature spike", description: "The request was processed following an automatic review.", timestamp: new Date("2023-09-21T17:45:56Z") },
            { id: 1082, sensor_reading_id: 543, anomaly_type: "temperature spike", description: "Support reported a standard issue; the transfer was delayed.", timestamp: new Date("2023-09-07T00:33:43Z") },
            { id: 1083, sensor_reading_id: 290, anomaly_type: "high vibration", description: "The team confirmed the details and the request was processed.", timestamp: new Date("2023-02-22T06:32:59Z") },
            { id: 1084, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "No response from the account owner, so the claim was rejected.", timestamp: new Date("2023-01-25T13:20:37Z") },
            { id: 1085, sensor_reading_id: 317, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the order was rejected.", timestamp: new Date("2023-10-21T05:51:30Z") },
            { id: 1086, sensor_reading_id: 164, anomaly_type: "high vibration", description: "The team confirmed the details and the refund was cancelled.", timestamp: new Date("2023-01-16T19:34:14Z") },
            { id: 1087, sensor_reading_id: 45, anomaly_type: "temperature spike", description: "Flagged as automatic. The reviewer closed the claim.", timestamp: new Date("2023-06-17T01:58:13Z") },
            { id: 1088, sensor_reading_id: 543, anomaly_type: "high vibration", description: "No response from the supplier, so the shipment was replaced.", timestamp: new Date("2023-09-06T00:23:40Z") },
            { id: 1089, sensor_reading_id: 515, anomaly_type: "temperature spike", description: "The supplier asked for a change and the transfer was completed.", timestamp: new Date("2023-06-12T21:11:34Z") },
            { id: 1090, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "Flagged as manual. Support replaced the claim.", timestamp: new Date("2023-10-05T08:20:38Z") },
            { id: 1091, sensor_reading_id: 463, anomaly_type: "high vibration", description: "Flagged as duplicate. Support refunded the invoice.", timestamp: new Date("2023-07-10T22:37:52Z") },
            { id: 1092, sensor_reading_id: 261, anomaly_type: "low throughput", description: "An urgent follow-up: the delivery was closed.", timestamp: new Date("2023-09-29T06:49:49Z") },
            { id: 1093, sensor_reading_id: 445, anomaly_type: "temperature spike", description: "An operator reported a late issue; the order was processed.", timestamp: new Date("2023-12-22T14:38:32Z") },
            { id: 1094, sensor_reading_id: 389, anomaly_type: "high vibration", description: "A standard follow-up: the session was processed.", timestamp: new Date("2023-12-03T13:42:10Z") },
            { id: 1095, sensor_reading_id: 40, anomaly_type: "high vibration", description: "Flagged as urgent. The courier completed the ticket.", timestamp: new Date("2023-06-25T17:15:45Z") },
            { id: 1096, sensor_reading_id: 369, anomaly_type: "high vibration", description: "The account owner reported an urgent issue; the report was closed.", timestamp: new Date("2023-11-13T16:48:29Z") },
            { id: 1097, sensor_reading_id: 224, anomaly_type: "low throughput", description: "A repeat follow-up: the payment was rejected.", timestamp: new Date("2023-07-04T02:45:31Z") },
            { id: 1098, sensor_reading_id: 422, anomaly_type: "temperature spike", description: "A standard follow-up: the request was reopened.", timestamp: new Date("2023-11-08T21:07:46Z") },
            { id: 1099, sensor_reading_id: 382, anomaly_type: "temperature spike", description: "The shipment was rescheduled following a manual review.", timestamp: new Date("2023-11-07T18:43:49Z") },
            { id: 1100, sensor_reading_id: 290, anomaly_type: "high vibration", description: "A late transfer was confirmed the same day.", timestamp: new Date("2023-12-30T18:07:29Z") },
            { id: 1101, sensor_reading_id: 20, anomaly_type: "temperature spike", description: "The transfer was completed — routine case, no further action.", timestamp: new Date("2023-09-17T07:57:21Z") },
            { id: 1102, sensor_reading_id: 235, anomaly_type: "temperature spike", description: "An operator reported a duplicate issue; the order was updated.", timestamp: new Date("2023-02-17T16:57:20Z") },
            { id: 1103, sensor_reading_id: 429, anomaly_type: "temperature spike", description: "Flagged as automatic. Support delayed the invoice.", timestamp: new Date("2023-10-16T12:32:05Z") },
            { id: 1104, sensor_reading_id: 191, anomaly_type: "high vibration", description: "Flagged as urgent. The team approved the ticket.", timestamp: new Date("2023-04-27T09:58:50Z") },
            { id: 1105, sensor_reading_id: 398, anomaly_type: "high vibration", description: "The courier asked for a change and the session was escalated.", timestamp: new Date("2023-09-11T05:36:21Z") },
            { id: 1106, sensor_reading_id: 476, anomaly_type: "high vibration", description: "No response from the supplier, so the account was updated.", timestamp: new Date("2023-11-30T19:31:13Z") },
            { id: 1107, sensor_reading_id: 470, anomaly_type: "high vibration", description: "Flagged as urgent. The courier completed the report.", timestamp: new Date("2023-12-02T11:18:43Z") },
            { id: 1108, sensor_reading_id: 6, anomaly_type: "temperature spike", description: "An operator confirmed the details and the invoice was approved.", timestamp: new Date("2023-10-22T13:01:49Z") },
            { id: 1109, sensor_reading_id: 460, anomaly_type: "high vibration", description: "The request was cancelled — partial case, no further action.", timestamp: new Date("2023-07-30T17:59:41Z") },
            { id: 1110, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "A duplicate follow-up: the payment was rescheduled.", timestamp: new Date("2023-05-25T03:40:00Z") },
            { id: 1111, sensor_reading_id: 296, anomaly_type: "high vibration", description: "The item was cancelled — routine case, no further action.", timestamp: new Date("2023-09-12T01:26:59Z") },
            { id: 1112, sensor_reading_id: 126, anomaly_type: "temperature spike", description: "The document was replaced after an unusual check.", timestamp: new Date("2023-03-06T23:25:10Z") },
            { id: 1113, sensor_reading_id: 360, anomaly_type: "low throughput", description: "An incomplete payment was processed the same day.", timestamp: new Date("2023-10-29T02:24:58Z") },
            { id: 1114, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "No response from the customer, so the transfer was rescheduled.", timestamp: new Date("2023-01-29T10:30:37Z") },
            { id: 1115, sensor_reading_id: 132, anomaly_type: "high vibration", description: "The team reported a manual issue; the record was confirmed.", timestamp: new Date("2023-11-13T18:56:13Z") },
            { id: 1116, sensor_reading_id: 404, anomaly_type: "temperature spike", description: "The account owner asked for a change and the claim was escalated.", timestamp: new Date("2023-06-11T08:14:44Z") },
            { id: 1117, sensor_reading_id: 370, anomaly_type: "high vibration", description: "The record was resolved after a partial check.", timestamp: new Date("2023-01-27T21:15:35Z") },
            { id: 1118, sensor_reading_id: 58, anomaly_type: "temperature spike", description: "An operator confirmed the details and the record was completed.", timestamp: new Date("2023-08-23T05:42:02Z") },
            { id: 1119, sensor_reading_id: 354, anomaly_type: "low throughput", description: "An operator reported a partial issue; the request was rescheduled.", timestamp: new Date("2023-01-14T16:20:16Z") },
            { id: 1120, sensor_reading_id: 426, anomaly_type: "temperature spike", description: "A repeat follow-up: the booking was completed.", timestamp: new Date("2023-02-18T18:22:36Z") },
            { id: 1121, sensor_reading_id: 153, anomaly_type: "temperature spike", description: "The booking was replaced — manual case, no further action.", timestamp: new Date("2023-08-21T12:58:32Z") },
            { id: 1122, sensor_reading_id: 188, anomaly_type: "low throughput", description: "An operator confirmed the details and the account was rescheduled.", timestamp: new Date("2023-02-15T14:06:44Z") },
            { id: 1123, sensor_reading_id: 252, anomaly_type: "high vibration", description: "Support confirmed the details and the delivery was reopened.", timestamp: new Date("2023-06-23T00:58:56Z") },
            { id: 1124, sensor_reading_id: 77, anomaly_type: "temperature spike", description: "The transfer was reviewed after an automatic check.", timestamp: new Date("2023-12-08T12:39:07Z") },
            { id: 1125, sensor_reading_id: 396, anomaly_type: "temperature spike", description: "The claim was escalated following an automatic review.", timestamp: new Date("2023-07-13T18:07:10Z") },
            { id: 1126, sensor_reading_id: 523, anomaly_type: "temperature spike", description: "The payment was closed after a late check.", timestamp: new Date("2023-05-04T08:07:45Z") },
            { id: 1127, sensor_reading_id: 188, anomaly_type: "high vibration", description: "The team reported an automatic issue; the booking was rescheduled.", timestamp: new Date("2023-01-08T05:34:59Z") },
            { id: 1128, sensor_reading_id: 301, anomaly_type: "temperature spike", description: "A partial follow-up: the account was completed.", timestamp: new Date("2023-02-24T00:37:15Z") },
            { id: 1129, sensor_reading_id: 91, anomaly_type: "temperature spike", description: "An operator confirmed the details and the order was reopened.", timestamp: new Date("2023-04-28T19:06:26Z") },
            { id: 1130, sensor_reading_id: 64, anomaly_type: "temperature spike", description: "The ticket was refunded following a routine review.", timestamp: new Date("2023-02-22T07:50:58Z") },
            { id: 1131, sensor_reading_id: 533, anomaly_type: "temperature spike", description: "The shipment was approved following an unusual review.", timestamp: new Date("2023-09-25T15:33:14Z") },
            { id: 1132, sensor_reading_id: 362, anomaly_type: "temperature spike", description: "A manual follow-up: the booking was completed.", timestamp: new Date("2023-04-24T00:19:14Z") },
            { id: 1133, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "The appointment was closed after an automatic check.", timestamp: new Date("2023-10-31T07:29:34Z") },
            { id: 1134, sensor_reading_id: 547, anomaly_type: "high vibration", description: "An urgent follow-up: the invoice was rejected.", timestamp: new Date("2023-01-08T00:55:09Z") },
            { id: 1135, sensor_reading_id: 313, anomaly_type: "temperature spike", description: "A routine follow-up: the account was confirmed.", timestamp: new Date("2023-07-17T13:11:07Z") },
            { id: 1136, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "The team confirmed the details and the shipment was rescheduled.", timestamp: new Date("2023-11-02T21:42:55Z") },
            { id: 1137, sensor_reading_id: 466, anomaly_type: "temperature spike", description: "The record was updated following a minor review.", timestamp: new Date("2023-08-09T04:35:40Z") },
            { id: 1138, sensor_reading_id: 435, anomaly_type: "low throughput", description: "The item was rejected — automatic case, no further action.", timestamp: new Date("2023-10-25T17:17:19Z") },
            { id: 1139, sensor_reading_id: 355, anomaly_type: "high vibration", description: "A partial follow-up: the appointment was updated.", timestamp: new Date("2023-02-18T05:34:56Z") },
            { id: 1140, sensor_reading_id: 246, anomaly_type: "temperature spike", description: "A manual follow-up: the report was reopened.", timestamp: new Date("2023-06-15T20:28:15Z") },
            { id: 1141, sensor_reading_id: 316, anomaly_type: "high vibration", description: "A late transfer was refunded the same day.", timestamp: new Date("2023-09-07T00:16:31Z") },
            { id: 1142, sensor_reading_id: 527, anomaly_type: "low throughput", description: "No response from support, so the claim was updated.", timestamp: new Date("2023-02-08T20:36:08Z") },
            { id: 1143, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "A repeat follow-up: the payment was updated.", timestamp: new Date("2023-03-07T10:31:53Z") },
            { id: 1144, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "Flagged as urgent. The supplier updated the document.", timestamp: new Date("2023-08-18T04:31:10Z") },
            { id: 1145, sensor_reading_id: 153, anomaly_type: "high vibration", description: "The courier confirmed the details and the request was approved.", timestamp: new Date("2023-01-19T15:26:20Z") },
            { id: 1146, sensor_reading_id: 469, anomaly_type: "temperature spike", description: "Flagged as minor. An operator escalated the account.", timestamp: new Date("2023-04-05T16:32:35Z") },
            { id: 1147, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "Flagged as late. Support refunded the document.", timestamp: new Date("2023-05-05T10:42:36Z") },
            { id: 1148, sensor_reading_id: 373, anomaly_type: "low throughput", description: "The courier reported a standard issue; the payment was approved.", timestamp: new Date("2023-08-12T06:07:40Z") },
            { id: 1149, sensor_reading_id: 333, anomaly_type: "temperature spike", description: "The report was delayed — standard case, no further action.", timestamp: new Date("2023-06-24T04:01:27Z") },
            { id: 1150, sensor_reading_id: 234, anomaly_type: "high vibration", description: "The claim was rejected following an urgent review.", timestamp: new Date("2023-11-17T21:08:47Z") },
            { id: 1151, sensor_reading_id: 300, anomaly_type: "high vibration", description: "No response from an operator, so the session was rejected.", timestamp: new Date("2023-02-01T14:38:00Z") },
            { id: 1152, sensor_reading_id: 177, anomaly_type: "temperature spike", description: "A standard appointment was refunded the same day.", timestamp: new Date("2023-06-06T18:28:56Z") },
            { id: 1153, sensor_reading_id: 339, anomaly_type: "temperature spike", description: "The invoice was escalated — minor case, no further action.", timestamp: new Date("2023-07-11T03:41:59Z") },
            { id: 1154, sensor_reading_id: 6, anomaly_type: "temperature spike", description: "A late appointment was processed the same day.", timestamp: new Date("2023-01-03T23:10:34Z") },
            { id: 1155, sensor_reading_id: 427, anomaly_type: "high vibration", description: "The customer reported an urgent issue; the report was reviewed.", timestamp: new Date("2023-07-19T01:30:38Z") },
            { id: 1156, sensor_reading_id: 490, anomaly_type: "temperature spike", description: "An unusual session was rejected the same day.", timestamp: new Date("2023-09-25T22:28:58Z") },
            { id: 1157, sensor_reading_id: 291, anomaly_type: "temperature spike", description: "The supplier asked for a change and the transfer was reviewed.", timestamp: new Date("2023-07-27T07:05:48Z") },
            { id: 1158, sensor_reading_id: 373, anomaly_type: "temperature spike", description: "A duplicate record was reviewed the same day.", timestamp: new Date("2023-12-23T00:00:56Z") },
            { id: 1159, sensor_reading_id: 457, anomaly_type: "temperature spike", description: "No response from an operator, so the account was replaced.", timestamp: new Date("2023-09-17T03:03:01Z") },
            { id: 1160, sensor_reading_id: 226, anomaly_type: "temperature spike", description: "The refund was resolved — unusual case, no further action.", timestamp: new Date("2023-11-16T17:46:44Z") },
            { id: 1161, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "The reviewer reported a manual issue; the ticket was delayed.", timestamp: new Date("2023-01-11T15:44:12Z") },
            { id: 1162, sensor_reading_id: 54, anomaly_type: "low throughput", description: "Flagged as repeat. The team delayed the claim.", timestamp: new Date("2023-10-09T16:20:09Z") },
            { id: 1163, sensor_reading_id: 277, anomaly_type: "temperature spike", description: "An incomplete refund was closed the same day.", timestamp: new Date("2023-05-12T22:53:37Z") },
            { id: 1164, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "An operator confirmed the details and the delivery was updated.", timestamp: new Date("2023-06-15T03:24:36Z") },
            { id: 1165, sensor_reading_id: 73, anomaly_type: "low throughput", description: "The shipment was confirmed following a duplicate review.", timestamp: new Date("2023-03-30T05:20:26Z") },
            { id: 1166, sensor_reading_id: 132, anomaly_type: "low throughput", description: "The booking was processed following a standard review.", timestamp: new Date("2023-01-11T15:00:40Z") },
            { id: 1167, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "Flagged as standard. The account owner processed the request.", timestamp: new Date("2023-08-19T03:20:26Z") },
            { id: 1168, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "The courier confirmed the details and the item was reopened.", timestamp: new Date("2023-01-21T21:21:08Z") },
            { id: 1169, sensor_reading_id: 172, anomaly_type: "temperature spike", description: "The supplier reported a duplicate issue; the transfer was delayed.", timestamp: new Date("2023-04-04T19:37:24Z") },
            { id: 1170, sensor_reading_id: 498, anomaly_type: "low throughput", description: "Flagged as manual. The courier reopened the booking.", timestamp: new Date("2023-12-30T00:55:53Z") },
            { id: 1171, sensor_reading_id: 354, anomaly_type: "temperature spike", description: "The record was processed after an automatic check.", timestamp: new Date("2023-12-15T15:40:42Z") },
            { id: 1172, sensor_reading_id: 294, anomaly_type: "low throughput", description: "A duplicate follow-up: the payment was updated.", timestamp: new Date("2023-11-15T12:01:27Z") },
            { id: 1173, sensor_reading_id: 228, anomaly_type: "temperature spike", description: "An automatic item was resolved the same day.", timestamp: new Date("2023-06-28T13:52:36Z") },
            { id: 1174, sensor_reading_id: 480, anomaly_type: "temperature spike", description: "An incomplete invoice was processed the same day.", timestamp: new Date("2023-10-17T21:02:36Z") },
            { id: 1175, sensor_reading_id: 408, anomaly_type: "low throughput", description: "The request was updated after an urgent check.", timestamp: new Date("2023-09-26T17:53:01Z") },
            { id: 1176, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "Support asked for a change and the item was closed.", timestamp: new Date("2023-04-22T20:52:39Z") },
            { id: 1177, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "The account was rescheduled following a late review.", timestamp: new Date("2023-09-22T21:26:06Z") },
            { id: 1178, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "The request was confirmed after a routine check.", timestamp: new Date("2023-04-12T15:54:13Z") },
            { id: 1179, sensor_reading_id: 534, anomaly_type: "temperature spike", description: "The record was rejected after a standard check.", timestamp: new Date("2023-02-18T19:08:24Z") },
            { id: 1180, sensor_reading_id: 87, anomaly_type: "temperature spike", description: "No response from the team, so the account was approved.", timestamp: new Date("2023-12-16T19:28:41Z") },
            { id: 1181, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "The document was cancelled after an unusual check.", timestamp: new Date("2023-08-17T15:05:32Z") },
            { id: 1182, sensor_reading_id: 277, anomaly_type: "temperature spike", description: "Flagged as urgent. The reviewer refunded the payment.", timestamp: new Date("2023-02-23T15:17:37Z") },
            { id: 1183, sensor_reading_id: 108, anomaly_type: "temperature spike", description: "Flagged as standard. Support reopened the session.", timestamp: new Date("2023-10-09T08:19:15Z") },
            { id: 1184, sensor_reading_id: 272, anomaly_type: "temperature spike", description: "Support confirmed the details and the order was confirmed.", timestamp: new Date("2023-08-09T09:15:35Z") },
            { id: 1185, sensor_reading_id: 401, anomaly_type: "low throughput", description: "The courier confirmed the details and the claim was completed.", timestamp: new Date("2023-05-07T04:40:01Z") },
            { id: 1186, sensor_reading_id: 179, anomaly_type: "high vibration", description: "The report was reopened after a minor check.", timestamp: new Date("2023-01-29T21:50:43Z") },
            { id: 1187, sensor_reading_id: 51, anomaly_type: "low throughput", description: "The account owner confirmed the details and the shipment was rejected.", timestamp: new Date("2023-06-18T05:03:49Z") },
            { id: 1188, sensor_reading_id: 354, anomaly_type: "high vibration", description: "No response from the courier, so the transfer was escalated.", timestamp: new Date("2023-12-27T19:20:08Z") },
            { id: 1189, sensor_reading_id: 272, anomaly_type: "temperature spike", description: "The courier asked for a change and the ticket was completed.", timestamp: new Date("2023-11-18T20:29:55Z") },
            { id: 1190, sensor_reading_id: 14, anomaly_type: "high vibration", description: "A minor follow-up: the delivery was updated.", timestamp: new Date("2023-04-28T11:28:16Z") },
            { id: 1191, sensor_reading_id: 232, anomaly_type: "high vibration", description: "The invoice was cancelled after a minor check.", timestamp: new Date("2023-08-13T11:53:14Z") },
            { id: 1192, sensor_reading_id: 444, anomaly_type: "temperature spike", description: "A duplicate invoice was delayed the same day.", timestamp: new Date("2023-11-16T19:38:41Z") },
            { id: 1193, sensor_reading_id: 310, anomaly_type: "temperature spike", description: "The appointment was resolved following an urgent review.", timestamp: new Date("2023-11-17T09:02:18Z") },
            { id: 1194, sensor_reading_id: 125, anomaly_type: "low throughput", description: "Flagged as late. The supplier rejected the payment.", timestamp: new Date("2023-10-29T12:10:06Z") },
            { id: 1195, sensor_reading_id: 512, anomaly_type: "high vibration", description: "Flagged as minor. An operator reopened the order.", timestamp: new Date("2023-05-02T02:39:26Z") },
            { id: 1196, sensor_reading_id: 181, anomaly_type: "high vibration", description: "The delivery was escalated — standard case, no further action.", timestamp: new Date("2023-03-26T13:10:47Z") },
            { id: 1197, sensor_reading_id: 192, anomaly_type: "temperature spike", description: "The session was rescheduled after a late check.", timestamp: new Date("2023-02-08T09:15:46Z") },
            { id: 1198, sensor_reading_id: 9, anomaly_type: "temperature spike", description: "The invoice was rescheduled after a duplicate check.", timestamp: new Date("2023-08-18T21:01:19Z") },
            { id: 1199, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "The reviewer reported a repeat issue; the shipment was refunded.", timestamp: new Date("2023-09-27T05:53:45Z") },
            { id: 1200, sensor_reading_id: 464, anomaly_type: "high vibration", description: "The supplier confirmed the details and the ticket was replaced.", timestamp: new Date("2023-12-15T16:43:15Z") },
            { id: 1201, sensor_reading_id: 440, anomaly_type: "temperature spike", description: "The reviewer reported an urgent issue; the delivery was confirmed.", timestamp: new Date("2023-06-06T10:59:30Z") },
            { id: 1202, sensor_reading_id: 463, anomaly_type: "high vibration", description: "A duplicate claim was closed the same day.", timestamp: new Date("2023-06-26T05:28:38Z") },
            { id: 1203, sensor_reading_id: 532, anomaly_type: "high vibration", description: "The team reported an automatic issue; the transfer was reopened.", timestamp: new Date("2023-08-06T09:33:22Z") },
            { id: 1204, sensor_reading_id: 140, anomaly_type: "high vibration", description: "An operator asked for a change and the document was updated.", timestamp: new Date("2023-05-18T06:53:48Z") },
            { id: 1205, sensor_reading_id: 402, anomaly_type: "temperature spike", description: "The session was escalated following an unusual review.", timestamp: new Date("2023-02-01T04:59:32Z") },
            { id: 1206, sensor_reading_id: 194, anomaly_type: "temperature spike", description: "The courier asked for a change and the payment was rejected.", timestamp: new Date("2023-11-24T20:28:16Z") },
            { id: 1207, sensor_reading_id: 518, anomaly_type: "temperature spike", description: "The account owner reported a repeat issue; the shipment was reopened.", timestamp: new Date("2023-12-25T17:06:54Z") },
            { id: 1208, sensor_reading_id: 224, anomaly_type: "high vibration", description: "The appointment was reopened — incomplete case, no further action.", timestamp: new Date("2023-10-18T23:12:55Z") },
            { id: 1209, sensor_reading_id: 487, anomaly_type: "low throughput", description: "The account was resolved — manual case, no further action.", timestamp: new Date("2023-08-05T22:35:15Z") },
            { id: 1210, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the appointment was escalated.", timestamp: new Date("2023-03-25T12:20:16Z") },
            { id: 1211, sensor_reading_id: 171, anomaly_type: "temperature spike", description: "A duplicate follow-up: the record was processed.", timestamp: new Date("2023-02-20T19:46:41Z") },
            { id: 1212, sensor_reading_id: 26, anomaly_type: "temperature spike", description: "The request was rescheduled following a repeat review.", timestamp: new Date("2023-11-07T12:49:47Z") },
            { id: 1213, sensor_reading_id: 83, anomaly_type: "high vibration", description: "The invoice was completed following an automatic review.", timestamp: new Date("2023-06-29T13:20:49Z") },
            { id: 1214, sensor_reading_id: 250, anomaly_type: "temperature spike", description: "The refund was delayed — incomplete case, no further action.", timestamp: new Date("2023-01-20T02:01:14Z") },
            { id: 1215, sensor_reading_id: 487, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the account was resolved.", timestamp: new Date("2023-04-01T13:31:42Z") },
            { id: 1216, sensor_reading_id: 143, anomaly_type: "temperature spike", description: "Flagged as routine. The account owner refunded the shipment.", timestamp: new Date("2023-07-01T08:43:18Z") },
            { id: 1217, sensor_reading_id: 317, anomaly_type: "high vibration", description: "The supplier confirmed the details and the item was confirmed.", timestamp: new Date("2023-01-16T19:44:00Z") },
            { id: 1218, sensor_reading_id: 205, anomaly_type: "temperature spike", description: "The customer confirmed the details and the record was refunded.", timestamp: new Date("2023-04-07T15:06:24Z") },
            { id: 1219, sensor_reading_id: 144, anomaly_type: "temperature spike", description: "The invoice was reopened following an urgent review.", timestamp: new Date("2023-07-14T22:23:11Z") },
            { id: 1220, sensor_reading_id: 415, anomaly_type: "temperature spike", description: "The account owner reported a manual issue; the invoice was completed.", timestamp: new Date("2023-10-16T05:30:39Z") },
            { id: 1221, sensor_reading_id: 534, anomaly_type: "high vibration", description: "The team reported a manual issue; the invoice was cancelled.", timestamp: new Date("2023-01-25T10:58:48Z") },
            { id: 1222, sensor_reading_id: 88, anomaly_type: "high vibration", description: "The reviewer asked for a change and the payment was reviewed.", timestamp: new Date("2023-04-27T03:14:50Z") },
            { id: 1223, sensor_reading_id: 382, anomaly_type: "high vibration", description: "The transfer was closed after a late check.", timestamp: new Date("2023-01-20T19:44:04Z") },
            { id: 1224, sensor_reading_id: 434, anomaly_type: "low throughput", description: "The shipment was delayed — routine case, no further action.", timestamp: new Date("2023-09-24T13:34:50Z") },
            { id: 1225, sensor_reading_id: 63, anomaly_type: "high vibration", description: "An operator reported a duplicate issue; the invoice was reopened.", timestamp: new Date("2023-07-05T11:08:57Z") },
            { id: 1226, sensor_reading_id: 407, anomaly_type: "high vibration", description: "A duplicate follow-up: the shipment was confirmed.", timestamp: new Date("2023-06-20T15:22:11Z") },
            { id: 1227, sensor_reading_id: 117, anomaly_type: "temperature spike", description: "The customer confirmed the details and the request was reviewed.", timestamp: new Date("2023-06-17T07:11:38Z") },
            { id: 1228, sensor_reading_id: 231, anomaly_type: "temperature spike", description: "The delivery was approved following a late review.", timestamp: new Date("2023-09-08T03:34:53Z") },
            { id: 1229, sensor_reading_id: 234, anomaly_type: "high vibration", description: "The team confirmed the details and the request was confirmed.", timestamp: new Date("2023-04-26T19:04:41Z") },
            { id: 1230, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "An unusual refund was replaced the same day.", timestamp: new Date("2023-10-22T01:38:26Z") },
            { id: 1231, sensor_reading_id: 234, anomaly_type: "temperature spike", description: "The courier confirmed the details and the invoice was replaced.", timestamp: new Date("2023-12-02T18:19:08Z") },
            { id: 1232, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "The team reported an automatic issue; the booking was cancelled.", timestamp: new Date("2023-12-25T18:01:01Z") },
            { id: 1233, sensor_reading_id: 63, anomaly_type: "temperature spike", description: "A standard session was closed the same day.", timestamp: new Date("2023-09-30T00:22:05Z") },
            { id: 1234, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "The claim was updated after a standard check.", timestamp: new Date("2023-02-23T18:46:06Z") },
            { id: 1235, sensor_reading_id: 313, anomaly_type: "high vibration", description: "No response from the courier, so the item was delayed.", timestamp: new Date("2023-01-14T00:15:42Z") },
            { id: 1236, sensor_reading_id: 346, anomaly_type: "high vibration", description: "The supplier reported an automatic issue; the session was rescheduled.", timestamp: new Date("2023-07-29T19:34:57Z") },
            { id: 1237, sensor_reading_id: 166, anomaly_type: "temperature spike", description: "The booking was completed after an automatic check.", timestamp: new Date("2023-05-19T03:36:49Z") },
            { id: 1238, sensor_reading_id: 365, anomaly_type: "high vibration", description: "The reviewer confirmed the details and the request was resolved.", timestamp: new Date("2023-09-13T09:37:54Z") },
            { id: 1239, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "The account was updated after a late check.", timestamp: new Date("2023-12-09T19:38:24Z") },
            { id: 1240, sensor_reading_id: 277, anomaly_type: "high vibration", description: "The customer reported an unusual issue; the claim was escalated.", timestamp: new Date("2023-02-22T14:30:41Z") },
            { id: 1241, sensor_reading_id: 277, anomaly_type: "high vibration", description: "Support reported a duplicate issue; the appointment was resolved.", timestamp: new Date("2023-07-23T16:39:58Z") },
            { id: 1242, sensor_reading_id: 350, anomaly_type: "low throughput", description: "The courier asked for a change and the item was refunded.", timestamp: new Date("2023-10-18T10:26:01Z") },
            { id: 1243, sensor_reading_id: 166, anomaly_type: "low throughput", description: "An unusual follow-up: the delivery was resolved.", timestamp: new Date("2023-06-20T18:55:51Z") },
            { id: 1244, sensor_reading_id: 419, anomaly_type: "low throughput", description: "The request was cancelled — partial case, no further action.", timestamp: new Date("2023-06-30T21:01:48Z") },
            { id: 1245, sensor_reading_id: 92, anomaly_type: "high vibration", description: "The transfer was confirmed following a duplicate review.", timestamp: new Date("2023-06-30T11:49:33Z") },
            { id: 1246, sensor_reading_id: 419, anomaly_type: "high vibration", description: "The reviewer confirmed the details and the request was approved.", timestamp: new Date("2023-03-24T18:24:47Z") },
            { id: 1247, sensor_reading_id: 252, anomaly_type: "low throughput", description: "Flagged as routine. The supplier reopened the order.", timestamp: new Date("2023-08-21T18:24:13Z") },
            { id: 1248, sensor_reading_id: 158, anomaly_type: "temperature spike", description: "Flagged as routine. The courier reopened the document.", timestamp: new Date("2023-09-18T00:49:43Z") },
            { id: 1249, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "The account owner reported a routine issue; the appointment was processed.", timestamp: new Date("2023-07-29T17:48:38Z") },
            { id: 1250, sensor_reading_id: 408, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the session was updated.", timestamp: new Date("2023-05-15T13:17:54Z") },
            { id: 1251, sensor_reading_id: 372, anomaly_type: "temperature spike", description: "Support confirmed the details and the invoice was updated.", timestamp: new Date("2023-11-08T15:01:15Z") },
            { id: 1252, sensor_reading_id: 324, anomaly_type: "low throughput", description: "An automatic follow-up: the item was closed.", timestamp: new Date("2023-03-22T09:06:05Z") },
            { id: 1253, sensor_reading_id: 331, anomaly_type: "temperature spike", description: "A routine ticket was closed the same day.", timestamp: new Date("2023-12-30T23:33:36Z") },
            { id: 1254, sensor_reading_id: 125, anomaly_type: "temperature spike", description: "The transfer was replaced after a partial check.", timestamp: new Date("2023-02-19T08:26:38Z") },
            { id: 1255, sensor_reading_id: 164, anomaly_type: "temperature spike", description: "Support confirmed the details and the request was escalated.", timestamp: new Date("2023-04-24T23:23:25Z") },
            { id: 1256, sensor_reading_id: 235, anomaly_type: "high vibration", description: "Support asked for a change and the account was reopened.", timestamp: new Date("2023-08-29T14:12:24Z") },
            { id: 1257, sensor_reading_id: 59, anomaly_type: "temperature spike", description: "Flagged as minor. Support cancelled the booking.", timestamp: new Date("2023-02-19T03:09:27Z") },
            { id: 1258, sensor_reading_id: 115, anomaly_type: "temperature spike", description: "The team asked for a change and the ticket was rejected.", timestamp: new Date("2023-11-08T23:05:44Z") },
            { id: 1259, sensor_reading_id: 140, anomaly_type: "high vibration", description: "A partial booking was reviewed the same day.", timestamp: new Date("2023-10-10T17:48:24Z") },
            { id: 1260, sensor_reading_id: 271, anomaly_type: "temperature spike", description: "Flagged as late. The account owner updated the session.", timestamp: new Date("2023-12-21T11:43:33Z") },
            { id: 1261, sensor_reading_id: 446, anomaly_type: "temperature spike", description: "A repeat follow-up: the ticket was resolved.", timestamp: new Date("2023-10-31T22:51:33Z") },
            { id: 1262, sensor_reading_id: 73, anomaly_type: "temperature spike", description: "An incomplete item was approved the same day.", timestamp: new Date("2023-11-04T12:02:46Z") },
            { id: 1263, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "The document was resolved — minor case, no further action.", timestamp: new Date("2023-07-27T09:59:02Z") },
            { id: 1264, sensor_reading_id: 349, anomaly_type: "high vibration", description: "The invoice was replaced — duplicate case, no further action.", timestamp: new Date("2023-01-04T11:45:57Z") },
            { id: 1265, sensor_reading_id: 252, anomaly_type: "temperature spike", description: "The courier confirmed the details and the ticket was reviewed.", timestamp: new Date("2023-12-06T20:11:31Z") },
            { id: 1266, sensor_reading_id: 348, anomaly_type: "temperature spike", description: "No response from the team, so the shipment was replaced.", timestamp: new Date("2023-06-13T10:58:04Z") },
            { id: 1267, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "Flagged as routine. The reviewer updated the session.", timestamp: new Date("2023-03-12T03:32:02Z") },
            { id: 1268, sensor_reading_id: 390, anomaly_type: "high vibration", description: "The transfer was resolved — routine case, no further action.", timestamp: new Date("2023-07-24T19:54:51Z") },
            { id: 1269, sensor_reading_id: 297, anomaly_type: "temperature spike", description: "The customer reported a duplicate issue; the claim was escalated.", timestamp: new Date("2023-04-17T04:00:52Z") },
            { id: 1270, sensor_reading_id: 101, anomaly_type: "low throughput", description: "A manual claim was resolved the same day.", timestamp: new Date("2023-12-28T10:37:08Z") },
            { id: 1271, sensor_reading_id: 152, anomaly_type: "high vibration", description: "The supplier asked for a change and the refund was reviewed.", timestamp: new Date("2023-01-27T06:29:42Z") },
            { id: 1272, sensor_reading_id: 324, anomaly_type: "temperature spike", description: "No response from the reviewer, so the invoice was processed.", timestamp: new Date("2023-03-22T22:37:58Z") },
            { id: 1273, sensor_reading_id: 121, anomaly_type: "temperature spike", description: "A repeat order was closed the same day.", timestamp: new Date("2023-05-17T13:57:36Z") },
            { id: 1274, sensor_reading_id: 271, anomaly_type: "low throughput", description: "The ticket was confirmed following a manual review.", timestamp: new Date("2023-02-22T08:35:39Z") },
            { id: 1275, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "No response from the reviewer, so the transfer was refunded.", timestamp: new Date("2023-12-03T09:20:58Z") },
            { id: 1276, sensor_reading_id: 498, anomaly_type: "high vibration", description: "The document was confirmed — unusual case, no further action.", timestamp: new Date("2023-10-13T06:10:40Z") },
            { id: 1277, sensor_reading_id: 20, anomaly_type: "low throughput", description: "The transfer was completed following a duplicate review.", timestamp: new Date("2023-11-04T19:40:22Z") },
            { id: 1278, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "The appointment was updated — routine case, no further action.", timestamp: new Date("2023-02-17T09:10:28Z") },
            { id: 1279, sensor_reading_id: 441, anomaly_type: "low throughput", description: "The reviewer asked for a change and the delivery was reviewed.", timestamp: new Date("2023-12-17T21:37:50Z") },
            { id: 1280, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "The appointment was rescheduled after an incomplete check.", timestamp: new Date("2023-09-15T20:57:40Z") },
            { id: 1281, sensor_reading_id: 19, anomaly_type: "temperature spike", description: "No response from the account owner, so the refund was cancelled.", timestamp: new Date("2023-01-31T17:30:52Z") },
            { id: 1282, sensor_reading_id: 58, anomaly_type: "high vibration", description: "No response from an operator, so the appointment was cancelled.", timestamp: new Date("2023-04-16T07:17:45Z") },
            { id: 1283, sensor_reading_id: 73, anomaly_type: "temperature spike", description: "The request was confirmed after a standard check.", timestamp: new Date("2023-04-11T03:19:39Z") },
            { id: 1284, sensor_reading_id: 359, anomaly_type: "temperature spike", description: "The team asked for a change and the record was approved.", timestamp: new Date("2023-04-12T20:30:20Z") },
            { id: 1285, sensor_reading_id: 298, anomaly_type: "temperature spike", description: "The supplier reported a partial issue; the invoice was reviewed.", timestamp: new Date("2023-02-08T21:25:00Z") },
            { id: 1286, sensor_reading_id: 121, anomaly_type: "temperature spike", description: "The report was reviewed — incomplete case, no further action.", timestamp: new Date("2023-12-30T14:53:11Z") },
            { id: 1287, sensor_reading_id: 310, anomaly_type: "temperature spike", description: "A standard follow-up: the delivery was rejected.", timestamp: new Date("2023-01-29T11:12:19Z") },
            { id: 1288, sensor_reading_id: 103, anomaly_type: "high vibration", description: "Flagged as repeat. Support approved the request.", timestamp: new Date("2023-04-27T03:23:16Z") },
            { id: 1289, sensor_reading_id: 189, anomaly_type: "temperature spike", description: "No response from the reviewer, so the request was cancelled.", timestamp: new Date("2023-11-20T15:26:34Z") },
            { id: 1290, sensor_reading_id: 272, anomaly_type: "high vibration", description: "A late follow-up: the transfer was reviewed.", timestamp: new Date("2023-10-26T03:30:04Z") },
            { id: 1291, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "The request was completed following a late review.", timestamp: new Date("2023-11-19T15:12:45Z") },
            { id: 1292, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "A repeat follow-up: the delivery was approved.", timestamp: new Date("2023-10-24T05:17:31Z") },
            { id: 1293, sensor_reading_id: 417, anomaly_type: "high vibration", description: "The request was rescheduled following a repeat review.", timestamp: new Date("2023-08-22T08:41:58Z") },
            { id: 1294, sensor_reading_id: 545, anomaly_type: "low throughput", description: "The customer asked for a change and the invoice was updated.", timestamp: new Date("2023-10-24T16:21:24Z") },
            { id: 1295, sensor_reading_id: 109, anomaly_type: "temperature spike", description: "The ticket was updated following an urgent review.", timestamp: new Date("2023-03-01T19:16:07Z") },
            { id: 1296, sensor_reading_id: 38, anomaly_type: "high vibration", description: "The order was delayed — manual case, no further action.", timestamp: new Date("2023-04-14T10:33:09Z") },
            { id: 1297, sensor_reading_id: 239, anomaly_type: "high vibration", description: "A manual follow-up: the refund was reviewed.", timestamp: new Date("2023-09-25T10:45:49Z") },
            { id: 1298, sensor_reading_id: 160, anomaly_type: "temperature spike", description: "A duplicate follow-up: the claim was updated.", timestamp: new Date("2023-12-19T07:37:54Z") },
            { id: 1299, sensor_reading_id: 24, anomaly_type: "temperature spike", description: "Support confirmed the details and the transfer was reviewed.", timestamp: new Date("2023-07-31T20:02:58Z") },
            { id: 1300, sensor_reading_id: 2, anomaly_type: "low throughput", description: "Flagged as duplicate. Support resolved the shipment.", timestamp: new Date("2023-10-18T21:33:49Z") },
            { id: 1301, sensor_reading_id: 383, anomaly_type: "high vibration", description: "The account owner asked for a change and the record was cancelled.", timestamp: new Date("2023-02-22T01:26:35Z") },
            { id: 1302, sensor_reading_id: 268, anomaly_type: "temperature spike", description: "Support reported a minor issue; the delivery was replaced.", timestamp: new Date("2023-07-29T22:25:34Z") },
            { id: 1303, sensor_reading_id: 349, anomaly_type: "high vibration", description: "The reviewer asked for a change and the record was confirmed.", timestamp: new Date("2023-09-22T16:55:25Z") },
            { id: 1304, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "The record was processed following an urgent review.", timestamp: new Date("2023-03-14T07:09:11Z") },
            { id: 1305, sensor_reading_id: 285, anomaly_type: "temperature spike", description: "The team confirmed the details and the document was resolved.", timestamp: new Date("2023-08-31T15:48:02Z") },
            { id: 1306, sensor_reading_id: 60, anomaly_type: "temperature spike", description: "No response from the account owner, so the document was cancelled.", timestamp: new Date("2023-05-21T08:19:40Z") },
            { id: 1307, sensor_reading_id: 44, anomaly_type: "temperature spike", description: "The record was rescheduled after an incomplete check.", timestamp: new Date("2023-12-31T06:18:56Z") },
            { id: 1308, sensor_reading_id: 339, anomaly_type: "low throughput", description: "The customer reported a standard issue; the booking was rescheduled.", timestamp: new Date("2023-07-19T10:37:54Z") },
            { id: 1309, sensor_reading_id: 83, anomaly_type: "temperature spike", description: "The appointment was replaced — repeat case, no further action.", timestamp: new Date("2023-12-09T00:18:02Z") },
            { id: 1310, sensor_reading_id: 455, anomaly_type: "temperature spike", description: "The reviewer reported an incomplete issue; the account was approved.", timestamp: new Date("2023-08-14T18:31:26Z") },
            { id: 1311, sensor_reading_id: 271, anomaly_type: "high vibration", description: "Flagged as incomplete. The courier reopened the record.", timestamp: new Date("2023-05-19T23:14:52Z") },
            { id: 1312, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the session was replaced.", timestamp: new Date("2023-03-07T03:53:26Z") },
            { id: 1313, sensor_reading_id: 20, anomaly_type: "temperature spike", description: "A partial follow-up: the delivery was reopened.", timestamp: new Date("2023-12-21T07:05:15Z") },
            { id: 1314, sensor_reading_id: 245, anomaly_type: "temperature spike", description: "The item was updated after a standard check.", timestamp: new Date("2023-10-01T17:58:05Z") },
            { id: 1315, sensor_reading_id: 382, anomaly_type: "high vibration", description: "Flagged as partial. The customer completed the claim.", timestamp: new Date("2023-02-19T01:38:23Z") },
            { id: 1316, sensor_reading_id: 412, anomaly_type: "high vibration", description: "The delivery was processed after an urgent check.", timestamp: new Date("2023-12-24T14:56:27Z") },
            { id: 1317, sensor_reading_id: 144, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the booking was closed.", timestamp: new Date("2023-08-24T05:36:52Z") },
            { id: 1318, sensor_reading_id: 80, anomaly_type: "high vibration", description: "The courier confirmed the details and the item was delayed.", timestamp: new Date("2023-05-28T17:36:14Z") },
            { id: 1319, sensor_reading_id: 286, anomaly_type: "high vibration", description: "A minor follow-up: the record was processed.", timestamp: new Date("2023-04-27T16:24:38Z") },
            { id: 1320, sensor_reading_id: 531, anomaly_type: "temperature spike", description: "Flagged as repeat. An operator closed the ticket.", timestamp: new Date("2023-07-04T19:00:54Z") },
            { id: 1321, sensor_reading_id: 167, anomaly_type: "temperature spike", description: "The document was closed following a manual review.", timestamp: new Date("2023-05-26T04:32:24Z") },
            { id: 1322, sensor_reading_id: 469, anomaly_type: "low throughput", description: "The courier confirmed the details and the record was rescheduled.", timestamp: new Date("2023-10-05T23:43:54Z") },
            { id: 1323, sensor_reading_id: 328, anomaly_type: "temperature spike", description: "No response from the supplier, so the transfer was rejected.", timestamp: new Date("2023-04-09T07:41:58Z") },
            { id: 1324, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "No response from an operator, so the shipment was processed.", timestamp: new Date("2023-12-10T13:43:18Z") },
            { id: 1325, sensor_reading_id: 265, anomaly_type: "low throughput", description: "Flagged as routine. Support completed the order.", timestamp: new Date("2023-04-14T02:17:19Z") },
            { id: 1326, sensor_reading_id: 524, anomaly_type: "high vibration", description: "The report was escalated following a manual review.", timestamp: new Date("2023-10-19T20:10:40Z") },
            { id: 1327, sensor_reading_id: 146, anomaly_type: "temperature spike", description: "The supplier reported a routine issue; the claim was resolved.", timestamp: new Date("2023-12-23T05:52:45Z") },
            { id: 1328, sensor_reading_id: 265, anomaly_type: "temperature spike", description: "The request was escalated following an incomplete review.", timestamp: new Date("2023-11-23T18:18:40Z") },
            { id: 1329, sensor_reading_id: 139, anomaly_type: "low throughput", description: "A standard report was cancelled the same day.", timestamp: new Date("2023-01-03T02:39:56Z") },
            { id: 1330, sensor_reading_id: 271, anomaly_type: "temperature spike", description: "The delivery was rescheduled — urgent case, no further action.", timestamp: new Date("2023-06-21T00:21:11Z") },
            { id: 1331, sensor_reading_id: 89, anomaly_type: "temperature spike", description: "The courier reported a repeat issue; the claim was cancelled.", timestamp: new Date("2023-02-28T19:42:06Z") },
            { id: 1332, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "The request was refunded — unusual case, no further action.", timestamp: new Date("2023-10-23T06:49:49Z") },
            { id: 1333, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "The claim was rescheduled following an urgent review.", timestamp: new Date("2023-01-17T09:58:05Z") },
            { id: 1334, sensor_reading_id: 109, anomaly_type: "temperature spike", description: "The customer confirmed the details and the appointment was completed.", timestamp: new Date("2023-06-07T20:34:04Z") },
            { id: 1335, sensor_reading_id: 74, anomaly_type: "temperature spike", description: "A repeat transfer was cancelled the same day.", timestamp: new Date("2023-05-30T03:24:25Z") },
            { id: 1336, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "A duplicate follow-up: the request was replaced.", timestamp: new Date("2023-01-15T22:22:43Z") },
            { id: 1337, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "The courier confirmed the details and the record was cancelled.", timestamp: new Date("2023-01-01T19:56:14Z") },
            { id: 1338, sensor_reading_id: 110, anomaly_type: "temperature spike", description: "A partial follow-up: the record was replaced.", timestamp: new Date("2023-05-28T11:09:45Z") },
            { id: 1339, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "The reviewer reported a partial issue; the shipment was rescheduled.", timestamp: new Date("2023-12-19T11:32:37Z") },
            { id: 1340, sensor_reading_id: 417, anomaly_type: "high vibration", description: "The team reported an incomplete issue; the refund was refunded.", timestamp: new Date("2023-01-15T14:38:56Z") },
            { id: 1341, sensor_reading_id: 457, anomaly_type: "high vibration", description: "The ticket was resolved after a minor check.", timestamp: new Date("2023-09-10T13:22:08Z") },
            { id: 1342, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "A minor account was refunded the same day.", timestamp: new Date("2023-08-02T11:20:30Z") },
            { id: 1343, sensor_reading_id: 130, anomaly_type: "temperature spike", description: "No response from the courier, so the account was escalated.", timestamp: new Date("2023-09-09T07:28:11Z") },
            { id: 1344, sensor_reading_id: 92, anomaly_type: "low throughput", description: "The report was resolved following a duplicate review.", timestamp: new Date("2023-09-07T21:11:55Z") },
            { id: 1345, sensor_reading_id: 45, anomaly_type: "temperature spike", description: "A routine follow-up: the record was replaced.", timestamp: new Date("2023-05-24T17:45:38Z") },
            { id: 1346, sensor_reading_id: 11, anomaly_type: "temperature spike", description: "A routine appointment was replaced the same day.", timestamp: new Date("2023-10-18T00:01:39Z") },
            { id: 1347, sensor_reading_id: 54, anomaly_type: "temperature spike", description: "The order was updated — urgent case, no further action.", timestamp: new Date("2023-12-12T23:59:18Z") },
            { id: 1348, sensor_reading_id: 461, anomaly_type: "temperature spike", description: "A repeat follow-up: the request was updated.", timestamp: new Date("2023-05-13T04:09:33Z") },
            { id: 1349, sensor_reading_id: 184, anomaly_type: "temperature spike", description: "The delivery was cancelled after a repeat check.", timestamp: new Date("2023-03-05T10:14:21Z") },
            { id: 1350, sensor_reading_id: 152, anomaly_type: "temperature spike", description: "Flagged as minor. The reviewer rescheduled the booking.", timestamp: new Date("2023-08-27T09:10:13Z") },
            { id: 1351, sensor_reading_id: 339, anomaly_type: "high vibration", description: "The session was reopened — incomplete case, no further action.", timestamp: new Date("2023-04-14T00:39:59Z") },
            { id: 1352, sensor_reading_id: 470, anomaly_type: "temperature spike", description: "An operator reported an urgent issue; the record was refunded.", timestamp: new Date("2023-11-28T00:13:28Z") },
            { id: 1353, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "The request was completed — manual case, no further action.", timestamp: new Date("2023-02-25T05:49:35Z") },
            { id: 1354, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "An urgent invoice was closed the same day.", timestamp: new Date("2023-10-02T09:02:52Z") },
            { id: 1355, sensor_reading_id: 440, anomaly_type: "high vibration", description: "An operator reported a routine issue; the order was cancelled.", timestamp: new Date("2023-05-29T17:50:52Z") },
            { id: 1356, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "The session was delayed following a late review.", timestamp: new Date("2023-10-02T06:34:35Z") },
            { id: 1357, sensor_reading_id: 181, anomaly_type: "temperature spike", description: "Flagged as urgent. The supplier replaced the report.", timestamp: new Date("2023-01-27T20:51:07Z") },
            { id: 1358, sensor_reading_id: 261, anomaly_type: "temperature spike", description: "The account owner asked for a change and the invoice was delayed.", timestamp: new Date("2023-12-06T08:13:54Z") },
            { id: 1359, sensor_reading_id: 266, anomaly_type: "temperature spike", description: "Flagged as incomplete. The account owner confirmed the booking.", timestamp: new Date("2023-11-03T13:07:17Z") },
            { id: 1360, sensor_reading_id: 471, anomaly_type: "temperature spike", description: "No response from the reviewer, so the item was resolved.", timestamp: new Date("2023-01-22T02:12:39Z") },
            { id: 1361, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "No response from the account owner, so the refund was processed.", timestamp: new Date("2023-03-23T04:13:54Z") },
            { id: 1362, sensor_reading_id: 427, anomaly_type: "temperature spike", description: "The account was delayed following a duplicate review.", timestamp: new Date("2023-05-27T18:12:01Z") },
            { id: 1363, sensor_reading_id: 24, anomaly_type: "high vibration", description: "The booking was delayed after a late check.", timestamp: new Date("2023-02-11T00:00:09Z") },
            { id: 1364, sensor_reading_id: 118, anomaly_type: "temperature spike", description: "An operator confirmed the details and the transfer was confirmed.", timestamp: new Date("2023-12-05T12:25:47Z") },
            { id: 1365, sensor_reading_id: 536, anomaly_type: "temperature spike", description: "The transfer was refunded after a manual check.", timestamp: new Date("2023-07-13T10:46:20Z") },
            { id: 1366, sensor_reading_id: 14, anomaly_type: "temperature spike", description: "The courier asked for a change and the booking was replaced.", timestamp: new Date("2023-01-27T21:17:07Z") },
            { id: 1367, sensor_reading_id: 348, anomaly_type: "low throughput", description: "A manual follow-up: the delivery was completed.", timestamp: new Date("2023-09-15T04:33:02Z") },
            { id: 1368, sensor_reading_id: 121, anomaly_type: "high vibration", description: "Flagged as urgent. The reviewer processed the session.", timestamp: new Date("2023-03-08T22:40:58Z") },
            { id: 1369, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "The session was reviewed — minor case, no further action.", timestamp: new Date("2023-09-18T07:19:35Z") },
            { id: 1370, sensor_reading_id: 40, anomaly_type: "temperature spike", description: "Flagged as repeat. The courier resolved the account.", timestamp: new Date("2023-08-16T20:23:28Z") },
            { id: 1371, sensor_reading_id: 261, anomaly_type: "temperature spike", description: "A routine delivery was confirmed the same day.", timestamp: new Date("2023-04-18T02:20:07Z") },
            { id: 1372, sensor_reading_id: 110, anomaly_type: "temperature spike", description: "The customer asked for a change and the shipment was closed.", timestamp: new Date("2023-08-01T13:05:43Z") },
            { id: 1373, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "A manual request was delayed the same day.", timestamp: new Date("2023-12-27T21:00:19Z") },
            { id: 1374, sensor_reading_id: 426, anomaly_type: "temperature spike", description: "Flagged as standard. The team rejected the ticket.", timestamp: new Date("2023-06-24T04:20:48Z") },
            { id: 1375, sensor_reading_id: 219, anomaly_type: "temperature spike", description: "The request was cancelled after a manual check.", timestamp: new Date("2023-07-10T06:29:46Z") },
            { id: 1376, sensor_reading_id: 543, anomaly_type: "high vibration", description: "An automatic transfer was approved the same day.", timestamp: new Date("2023-09-12T01:42:43Z") },
            { id: 1377, sensor_reading_id: 59, anomaly_type: "temperature spike", description: "No response from the reviewer, so the ticket was reopened.", timestamp: new Date("2023-01-14T17:57:58Z") },
            { id: 1378, sensor_reading_id: 193, anomaly_type: "low throughput", description: "An incomplete item was approved the same day.", timestamp: new Date("2023-02-07T15:51:48Z") },
            { id: 1379, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "The delivery was reopened following an urgent review.", timestamp: new Date("2023-05-17T16:10:40Z") },
            { id: 1380, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "Support asked for a change and the document was escalated.", timestamp: new Date("2023-05-16T22:07:51Z") },
            { id: 1381, sensor_reading_id: 495, anomaly_type: "high vibration", description: "The reviewer asked for a change and the shipment was cancelled.", timestamp: new Date("2023-03-16T11:39:09Z") },
            { id: 1382, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "The booking was completed — duplicate case, no further action.", timestamp: new Date("2023-05-02T05:35:45Z") },
            { id: 1383, sensor_reading_id: 501, anomaly_type: "low throughput", description: "Support confirmed the details and the booking was delayed.", timestamp: new Date("2023-10-24T06:50:01Z") },
            { id: 1384, sensor_reading_id: 19, anomaly_type: "low throughput", description: "The account owner asked for a change and the session was confirmed.", timestamp: new Date("2023-04-11T09:21:56Z") },
            { id: 1385, sensor_reading_id: 217, anomaly_type: "high vibration", description: "The team asked for a change and the appointment was reviewed.", timestamp: new Date("2023-02-15T02:37:17Z") },
            { id: 1386, sensor_reading_id: 261, anomaly_type: "temperature spike", description: "Support confirmed the details and the item was completed.", timestamp: new Date("2023-10-11T18:02:36Z") },
            { id: 1387, sensor_reading_id: 290, anomaly_type: "low throughput", description: "The shipment was rescheduled — partial case, no further action.", timestamp: new Date("2023-12-30T12:29:04Z") },
            { id: 1388, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the ticket was rescheduled.", timestamp: new Date("2023-09-18T07:05:14Z") },
            { id: 1389, sensor_reading_id: 108, anomaly_type: "temperature spike", description: "An operator confirmed the details and the session was processed.", timestamp: new Date("2023-09-23T20:03:50Z") },
            { id: 1390, sensor_reading_id: 64, anomaly_type: "temperature spike", description: "The appointment was updated following an incomplete review.", timestamp: new Date("2023-11-29T07:07:35Z") },
            { id: 1391, sensor_reading_id: 193, anomaly_type: "temperature spike", description: "The report was confirmed after a manual check.", timestamp: new Date("2023-06-11T18:03:16Z") },
            { id: 1392, sensor_reading_id: 422, anomaly_type: "temperature spike", description: "The customer reported an urgent issue; the report was resolved.", timestamp: new Date("2023-05-27T12:26:15Z") },
            { id: 1393, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "An urgent session was escalated the same day.", timestamp: new Date("2023-04-03T17:29:03Z") },
            { id: 1394, sensor_reading_id: 419, anomaly_type: "temperature spike", description: "The courier reported an incomplete issue; the account was rejected.", timestamp: new Date("2023-03-18T23:39:41Z") },
            { id: 1395, sensor_reading_id: 116, anomaly_type: "temperature spike", description: "No response from an operator, so the claim was processed.", timestamp: new Date("2023-12-13T19:21:41Z") },
            { id: 1396, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "The appointment was reopened following a partial review.", timestamp: new Date("2023-09-03T21:37:50Z") },
            { id: 1397, sensor_reading_id: 114, anomaly_type: "temperature spike", description: "Flagged as late. The reviewer completed the ticket.", timestamp: new Date("2023-08-23T22:07:41Z") },
            { id: 1398, sensor_reading_id: 162, anomaly_type: "high vibration", description: "No response from support, so the transfer was refunded.", timestamp: new Date("2023-02-18T13:54:04Z") },
            { id: 1399, sensor_reading_id: 457, anomaly_type: "high vibration", description: "The courier reported a standard issue; the record was confirmed.", timestamp: new Date("2023-04-14T20:36:32Z") },
            { id: 1400, sensor_reading_id: 158, anomaly_type: "temperature spike", description: "No response from the courier, so the ticket was rescheduled.", timestamp: new Date("2023-10-23T09:22:20Z") },
            { id: 1401, sensor_reading_id: 419, anomaly_type: "temperature spike", description: "A standard follow-up: the account was approved.", timestamp: new Date("2023-08-25T14:48:42Z") },
            { id: 1402, sensor_reading_id: 231, anomaly_type: "low throughput", description: "An incomplete follow-up: the document was cancelled.", timestamp: new Date("2023-06-30T22:18:46Z") },
            { id: 1403, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "The team confirmed the details and the payment was reopened.", timestamp: new Date("2023-05-12T05:47:56Z") },
            { id: 1404, sensor_reading_id: 362, anomaly_type: "temperature spike", description: "The report was closed — repeat case, no further action.", timestamp: new Date("2023-07-09T00:37:48Z") },
            { id: 1405, sensor_reading_id: 437, anomaly_type: "high vibration", description: "Flagged as routine. An operator replaced the record.", timestamp: new Date("2023-10-30T16:18:16Z") },
            { id: 1406, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "The courier confirmed the details and the document was reviewed.", timestamp: new Date("2023-03-02T22:16:22Z") },
            { id: 1407, sensor_reading_id: 388, anomaly_type: "temperature spike", description: "The appointment was closed after an automatic check.", timestamp: new Date("2023-07-19T09:33:31Z") },
            { id: 1408, sensor_reading_id: 429, anomaly_type: "temperature spike", description: "Flagged as urgent. The team completed the shipment.", timestamp: new Date("2023-06-01T22:19:45Z") },
            { id: 1409, sensor_reading_id: 120, anomaly_type: "temperature spike", description: "The reviewer confirmed the details and the shipment was completed.", timestamp: new Date("2023-05-24T14:34:57Z") },
            { id: 1410, sensor_reading_id: 291, anomaly_type: "temperature spike", description: "Flagged as manual. The account owner escalated the invoice.", timestamp: new Date("2023-05-12T00:35:12Z") },
            { id: 1411, sensor_reading_id: 313, anomaly_type: "temperature spike", description: "Support confirmed the details and the appointment was refunded.", timestamp: new Date("2023-10-27T02:29:15Z") },
            { id: 1412, sensor_reading_id: 213, anomaly_type: "high vibration", description: "A standard claim was escalated the same day.", timestamp: new Date("2023-10-09T19:06:14Z") },
            { id: 1413, sensor_reading_id: 380, anomaly_type: "high vibration", description: "An operator asked for a change and the claim was processed.", timestamp: new Date("2023-11-30T18:59:37Z") },
            { id: 1414, sensor_reading_id: 23, anomaly_type: "high vibration", description: "No response from the reviewer, so the report was rescheduled.", timestamp: new Date("2023-05-25T19:49:26Z") },
            { id: 1415, sensor_reading_id: 35, anomaly_type: "temperature spike", description: "A routine transfer was refunded the same day.", timestamp: new Date("2023-10-11T12:54:08Z") },
            { id: 1416, sensor_reading_id: 373, anomaly_type: "temperature spike", description: "A duplicate follow-up: the invoice was refunded.", timestamp: new Date("2023-12-10T15:01:06Z") },
            { id: 1417, sensor_reading_id: 290, anomaly_type: "temperature spike", description: "No response from the account owner, so the report was reopened.", timestamp: new Date("2023-09-24T04:01:19Z") },
            { id: 1418, sensor_reading_id: 31, anomaly_type: "temperature spike", description: "The booking was confirmed following an automatic review.", timestamp: new Date("2023-09-07T19:50:15Z") },
            { id: 1419, sensor_reading_id: 224, anomaly_type: "high vibration", description: "The invoice was rejected following an incomplete review.", timestamp: new Date("2023-12-30T14:45:17Z") },
            { id: 1420, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "The session was replaced after a manual check.", timestamp: new Date("2023-02-21T17:11:56Z") },
            { id: 1421, sensor_reading_id: 88, anomaly_type: "temperature spike", description: "Flagged as standard. An operator completed the appointment.", timestamp: new Date("2023-10-18T15:43:12Z") },
            { id: 1422, sensor_reading_id: 441, anomaly_type: "temperature spike", description: "No response from support, so the report was cancelled.", timestamp: new Date("2023-12-07T13:31:28Z") },
            { id: 1423, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "No response from the courier, so the ticket was processed.", timestamp: new Date("2023-12-07T17:20:21Z") },
            { id: 1424, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "No response from the courier, so the account was confirmed.", timestamp: new Date("2023-08-16T04:50:02Z") },
            { id: 1425, sensor_reading_id: 501, anomaly_type: "temperature spike", description: "The account was cancelled — standard case, no further action.", timestamp: new Date("2023-11-02T20:40:07Z") },
            { id: 1426, sensor_reading_id: 363, anomaly_type: "temperature spike", description: "Flagged as incomplete. Support processed the appointment.", timestamp: new Date("2023-03-12T12:24:17Z") },
            { id: 1427, sensor_reading_id: 423, anomaly_type: "temperature spike", description: "The delivery was reviewed after a manual check.", timestamp: new Date("2023-12-17T16:59:53Z") },
            { id: 1428, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "The shipment was resolved after a minor check.", timestamp: new Date("2023-11-14T22:47:55Z") },
            { id: 1429, sensor_reading_id: 363, anomaly_type: "temperature spike", description: "The account was approved — routine case, no further action.", timestamp: new Date("2023-06-01T00:15:29Z") },
            { id: 1430, sensor_reading_id: 388, anomaly_type: "temperature spike", description: "Flagged as late. The courier rescheduled the refund.", timestamp: new Date("2023-03-21T07:24:27Z") },
            { id: 1431, sensor_reading_id: 497, anomaly_type: "temperature spike", description: "The invoice was rescheduled following an unusual review.", timestamp: new Date("2023-01-23T16:54:58Z") },
            { id: 1432, sensor_reading_id: 250, anomaly_type: "temperature spike", description: "The customer asked for a change and the claim was delayed.", timestamp: new Date("2023-07-21T15:50:12Z") },
            { id: 1433, sensor_reading_id: 348, anomaly_type: "temperature spike", description: "The appointment was rescheduled following a standard review.", timestamp: new Date("2023-04-18T22:02:20Z") },
            { id: 1434, sensor_reading_id: 434, anomaly_type: "temperature spike", description: "The courier asked for a change and the item was replaced.", timestamp: new Date("2023-02-19T03:16:06Z") },
            { id: 1435, sensor_reading_id: 58, anomaly_type: "low throughput", description: "The courier asked for a change and the shipment was rescheduled.", timestamp: new Date("2023-02-11T11:54:24Z") },
            { id: 1436, sensor_reading_id: 427, anomaly_type: "high vibration", description: "The refund was approved — late case, no further action.", timestamp: new Date("2023-11-01T09:50:25Z") },
            { id: 1437, sensor_reading_id: 132, anomaly_type: "high vibration", description: "The claim was confirmed — partial case, no further action.", timestamp: new Date("2023-02-09T04:21:49Z") },
            { id: 1438, sensor_reading_id: 450, anomaly_type: "low throughput", description: "The account was cancelled — late case, no further action.", timestamp: new Date("2023-08-20T17:38:35Z") },
            { id: 1439, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "A partial payment was confirmed the same day.", timestamp: new Date("2023-02-04T13:58:42Z") },
            { id: 1440, sensor_reading_id: 388, anomaly_type: "high vibration", description: "The customer confirmed the details and the document was completed.", timestamp: new Date("2023-01-06T12:30:39Z") },
            { id: 1441, sensor_reading_id: 318, anomaly_type: "temperature spike", description: "Flagged as repeat. The courier processed the record.", timestamp: new Date("2023-04-27T18:59:28Z") },
            { id: 1442, sensor_reading_id: 450, anomaly_type: "low throughput", description: "The transfer was reviewed — partial case, no further action.", timestamp: new Date("2023-03-19T22:31:00Z") },
            { id: 1443, sensor_reading_id: 239, anomaly_type: "temperature spike", description: "The report was updated after a repeat check.", timestamp: new Date("2023-12-10T01:26:08Z") },
            { id: 1444, sensor_reading_id: 317, anomaly_type: "low throughput", description: "The delivery was approved after a minor check.", timestamp: new Date("2023-08-22T06:37:14Z") },
            { id: 1445, sensor_reading_id: 35, anomaly_type: "low throughput", description: "The delivery was cancelled — late case, no further action.", timestamp: new Date("2023-04-26T19:56:26Z") },
            { id: 1446, sensor_reading_id: 300, anomaly_type: "temperature spike", description: "The order was approved — incomplete case, no further action.", timestamp: new Date("2023-05-31T03:57:44Z") },
            { id: 1447, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "An unusual refund was cancelled the same day.", timestamp: new Date("2023-12-18T14:37:10Z") },
            { id: 1448, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "The courier confirmed the details and the request was updated.", timestamp: new Date("2023-04-25T08:05:57Z") },
            { id: 1449, sensor_reading_id: 165, anomaly_type: "temperature spike", description: "The session was processed — duplicate case, no further action.", timestamp: new Date("2023-07-09T19:29:03Z") },
            { id: 1450, sensor_reading_id: 31, anomaly_type: "high vibration", description: "The reviewer asked for a change and the session was reviewed.", timestamp: new Date("2023-09-29T04:43:14Z") },
            { id: 1451, sensor_reading_id: 235, anomaly_type: "low throughput", description: "The payment was replaced following an automatic review.", timestamp: new Date("2023-10-06T04:53:53Z") },
            { id: 1452, sensor_reading_id: 406, anomaly_type: "temperature spike", description: "The courier asked for a change and the session was processed.", timestamp: new Date("2023-04-26T19:38:21Z") },
            { id: 1453, sensor_reading_id: 140, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the claim was replaced.", timestamp: new Date("2023-12-22T16:58:13Z") },
            { id: 1454, sensor_reading_id: 224, anomaly_type: "temperature spike", description: "An automatic follow-up: the order was reopened.", timestamp: new Date("2023-09-19T15:45:18Z") },
            { id: 1455, sensor_reading_id: 274, anomaly_type: "temperature spike", description: "No response from the customer, so the document was confirmed.", timestamp: new Date("2023-04-26T08:38:42Z") },
            { id: 1456, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "A repeat follow-up: the refund was closed.", timestamp: new Date("2023-11-04T10:59:22Z") },
            { id: 1457, sensor_reading_id: 20, anomaly_type: "high vibration", description: "The session was cancelled following an unusual review.", timestamp: new Date("2023-08-30T03:33:53Z") },
            { id: 1458, sensor_reading_id: 266, anomaly_type: "temperature spike", description: "The supplier reported a manual issue; the booking was delayed.", timestamp: new Date("2023-12-13T06:52:45Z") },
            { id: 1459, sensor_reading_id: 73, anomaly_type: "high vibration", description: "No response from support, so the request was confirmed.", timestamp: new Date("2023-03-27T08:32:33Z") },
            { id: 1460, sensor_reading_id: 349, anomaly_type: "high vibration", description: "The customer confirmed the details and the item was reviewed.", timestamp: new Date("2023-10-30T07:39:41Z") },
            { id: 1461, sensor_reading_id: 181, anomaly_type: "temperature spike", description: "Flagged as unusual. Support cancelled the refund.", timestamp: new Date("2023-09-17T10:05:19Z") },
            { id: 1462, sensor_reading_id: 408, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the booking was approved.", timestamp: new Date("2023-10-16T22:56:58Z") },
            { id: 1463, sensor_reading_id: 130, anomaly_type: "temperature spike", description: "The session was processed after a partial check.", timestamp: new Date("2023-08-13T11:33:34Z") },
            { id: 1464, sensor_reading_id: 524, anomaly_type: "temperature spike", description: "The claim was closed after a minor check.", timestamp: new Date("2023-11-26T08:38:35Z") },
            { id: 1465, sensor_reading_id: 237, anomaly_type: "temperature spike", description: "The team confirmed the details and the appointment was rejected.", timestamp: new Date("2023-05-21T07:41:52Z") },
            { id: 1466, sensor_reading_id: 476, anomaly_type: "high vibration", description: "The reviewer asked for a change and the report was refunded.", timestamp: new Date("2023-01-09T10:17:38Z") },
            { id: 1467, sensor_reading_id: 2, anomaly_type: "temperature spike", description: "A late request was cancelled the same day.", timestamp: new Date("2023-05-25T06:02:00Z") },
            { id: 1468, sensor_reading_id: 145, anomaly_type: "temperature spike", description: "The appointment was reopened — manual case, no further action.", timestamp: new Date("2023-12-10T10:38:28Z") },
            { id: 1469, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "The customer confirmed the details and the refund was cancelled.", timestamp: new Date("2023-11-19T01:57:10Z") },
            { id: 1470, sensor_reading_id: 315, anomaly_type: "temperature spike", description: "The customer confirmed the details and the delivery was replaced.", timestamp: new Date("2023-10-30T18:08:50Z") },
            { id: 1471, sensor_reading_id: 151, anomaly_type: "temperature spike", description: "The request was closed — incomplete case, no further action.", timestamp: new Date("2023-04-12T11:39:02Z") },
            { id: 1472, sensor_reading_id: 171, anomaly_type: "high vibration", description: "Support confirmed the details and the invoice was updated.", timestamp: new Date("2023-05-21T05:01:38Z") },
            { id: 1473, sensor_reading_id: 137, anomaly_type: "high vibration", description: "The request was rescheduled following a duplicate review.", timestamp: new Date("2023-06-16T22:13:17Z") },
            { id: 1474, sensor_reading_id: 250, anomaly_type: "high vibration", description: "The shipment was rejected — manual case, no further action.", timestamp: new Date("2023-07-09T13:31:09Z") },
            { id: 1475, sensor_reading_id: 442, anomaly_type: "high vibration", description: "The payment was updated after an incomplete check.", timestamp: new Date("2023-11-08T12:17:04Z") },
            { id: 1476, sensor_reading_id: 137, anomaly_type: "temperature spike", description: "Flagged as duplicate. An operator escalated the session.", timestamp: new Date("2023-08-16T14:46:12Z") },
            { id: 1477, sensor_reading_id: 175, anomaly_type: "temperature spike", description: "No response from an operator, so the item was delayed.", timestamp: new Date("2023-06-17T02:14:29Z") },
            { id: 1478, sensor_reading_id: 463, anomaly_type: "high vibration", description: "No response from the courier, so the ticket was rejected.", timestamp: new Date("2023-05-11T19:22:50Z") },
            { id: 1479, sensor_reading_id: 216, anomaly_type: "high vibration", description: "The team confirmed the details and the record was delayed.", timestamp: new Date("2023-10-26T22:23:38Z") },
            { id: 1480, sensor_reading_id: 171, anomaly_type: "temperature spike", description: "The team reported a manual issue; the invoice was delayed.", timestamp: new Date("2023-02-20T12:33:55Z") },
            { id: 1481, sensor_reading_id: 88, anomaly_type: "low throughput", description: "The record was delayed after an urgent check.", timestamp: new Date("2023-08-05T23:28:01Z") },
            { id: 1482, sensor_reading_id: 417, anomaly_type: "high vibration", description: "The session was rescheduled — manual case, no further action.", timestamp: new Date("2023-03-15T07:23:18Z") },
            { id: 1483, sensor_reading_id: 390, anomaly_type: "temperature spike", description: "The courier confirmed the details and the invoice was approved.", timestamp: new Date("2023-06-17T19:45:35Z") },
            { id: 1484, sensor_reading_id: 287, anomaly_type: "high vibration", description: "A minor payment was escalated the same day.", timestamp: new Date("2023-10-13T08:25:13Z") },
            { id: 1485, sensor_reading_id: 142, anomaly_type: "temperature spike", description: "The ticket was rejected — routine case, no further action.", timestamp: new Date("2023-03-22T05:45:42Z") },
            { id: 1486, sensor_reading_id: 501, anomaly_type: "low throughput", description: "No response from the courier, so the report was cancelled.", timestamp: new Date("2023-01-21T19:12:27Z") },
            { id: 1487, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "The account owner asked for a change and the session was closed.", timestamp: new Date("2023-05-30T06:08:38Z") },
            { id: 1488, sensor_reading_id: 307, anomaly_type: "temperature spike", description: "A standard report was refunded the same day.", timestamp: new Date("2023-11-19T04:22:18Z") },
            { id: 1489, sensor_reading_id: 550, anomaly_type: "temperature spike", description: "Support reported a minor issue; the record was completed.", timestamp: new Date("2023-11-26T23:40:17Z") },
            { id: 1490, sensor_reading_id: 325, anomaly_type: "temperature spike", description: "The payment was rescheduled following a manual review.", timestamp: new Date("2023-11-15T16:27:40Z") },
            { id: 1491, sensor_reading_id: 74, anomaly_type: "temperature spike", description: "A late report was approved the same day.", timestamp: new Date("2023-01-20T09:57:04Z") },
            { id: 1492, sensor_reading_id: 311, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the transfer was processed.", timestamp: new Date("2023-05-23T18:00:44Z") },
            { id: 1493, sensor_reading_id: 385, anomaly_type: "temperature spike", description: "A standard record was cancelled the same day.", timestamp: new Date("2023-05-10T03:14:21Z") },
            { id: 1494, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "The item was resolved after a late check.", timestamp: new Date("2023-05-03T07:43:06Z") },
            { id: 1495, sensor_reading_id: 293, anomaly_type: "high vibration", description: "An automatic claim was reopened the same day.", timestamp: new Date("2023-03-04T22:52:21Z") },
            { id: 1496, sensor_reading_id: 458, anomaly_type: "temperature spike", description: "The order was reopened — unusual case, no further action.", timestamp: new Date("2023-12-24T07:06:30Z") },
            { id: 1497, sensor_reading_id: 238, anomaly_type: "temperature spike", description: "The transfer was cancelled after an incomplete check.", timestamp: new Date("2023-10-16T03:04:52Z") },
            { id: 1498, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "The ticket was reviewed after a repeat check.", timestamp: new Date("2023-06-16T13:45:51Z") },
            { id: 1499, sensor_reading_id: 363, anomaly_type: "temperature spike", description: "The customer reported a late issue; the booking was reviewed.", timestamp: new Date("2023-09-18T03:35:25Z") },
            { id: 1500, sensor_reading_id: 384, anomaly_type: "temperature spike", description: "No response from an operator, so the refund was confirmed.", timestamp: new Date("2023-01-24T23:13:43Z") },
        ],
    });
    await prisma.anomalies.createMany({
        data: [
            { id: 1501, sensor_reading_id: 169, anomaly_type: "temperature spike", description: "Flagged as manual. The supplier updated the session.", timestamp: new Date("2023-01-22T08:37:32Z") },
            { id: 1502, sensor_reading_id: 39, anomaly_type: "high vibration", description: "The team confirmed the details and the shipment was rejected.", timestamp: new Date("2023-06-08T11:53:06Z") },
            { id: 1503, sensor_reading_id: 123, anomaly_type: "temperature spike", description: "The booking was reopened after a routine check.", timestamp: new Date("2023-07-16T09:18:07Z") },
            { id: 1504, sensor_reading_id: 191, anomaly_type: "temperature spike", description: "The payment was closed — routine case, no further action.", timestamp: new Date("2023-01-03T08:51:11Z") },
            { id: 1505, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "The invoice was reviewed after a late check.", timestamp: new Date("2023-09-12T17:27:02Z") },
            { id: 1506, sensor_reading_id: 328, anomaly_type: "temperature spike", description: "The refund was completed — partial case, no further action.", timestamp: new Date("2023-01-21T12:54:16Z") },
            { id: 1507, sensor_reading_id: 471, anomaly_type: "temperature spike", description: "The ticket was resolved after a repeat check.", timestamp: new Date("2023-01-16T22:42:41Z") },
            { id: 1508, sensor_reading_id: 317, anomaly_type: "temperature spike", description: "Flagged as duplicate. Support delayed the invoice.", timestamp: new Date("2023-02-16T03:04:23Z") },
            { id: 1509, sensor_reading_id: 312, anomaly_type: "low throughput", description: "A duplicate follow-up: the invoice was reviewed.", timestamp: new Date("2023-07-03T15:04:03Z") },
            { id: 1510, sensor_reading_id: 229, anomaly_type: "temperature spike", description: "An operator asked for a change and the shipment was delayed.", timestamp: new Date("2023-09-05T02:55:50Z") },
            { id: 1511, sensor_reading_id: 101, anomaly_type: "low throughput", description: "The reviewer asked for a change and the account was escalated.", timestamp: new Date("2023-03-09T19:53:24Z") },
            { id: 1512, sensor_reading_id: 233, anomaly_type: "high vibration", description: "The order was closed following an incomplete review.", timestamp: new Date("2023-05-27T23:16:16Z") },
            { id: 1513, sensor_reading_id: 2, anomaly_type: "temperature spike", description: "The booking was cancelled following an unusual review.", timestamp: new Date("2023-08-28T18:06:06Z") },
            { id: 1514, sensor_reading_id: 171, anomaly_type: "temperature spike", description: "The ticket was replaced after a partial check.", timestamp: new Date("2023-06-30T13:39:45Z") },
            { id: 1515, sensor_reading_id: 449, anomaly_type: "high vibration", description: "The supplier reported a partial issue; the appointment was rejected.", timestamp: new Date("2023-01-01T20:15:29Z") },
            { id: 1516, sensor_reading_id: 534, anomaly_type: "temperature spike", description: "A late follow-up: the report was confirmed.", timestamp: new Date("2023-03-01T10:40:13Z") },
            { id: 1517, sensor_reading_id: 340, anomaly_type: "temperature spike", description: "The delivery was replaced following an automatic review.", timestamp: new Date("2023-01-25T03:14:38Z") },
            { id: 1518, sensor_reading_id: 282, anomaly_type: "temperature spike", description: "A standard follow-up: the transfer was refunded.", timestamp: new Date("2023-01-13T11:38:28Z") },
            { id: 1519, sensor_reading_id: 189, anomaly_type: "high vibration", description: "The team confirmed the details and the item was approved.", timestamp: new Date("2023-09-05T21:58:21Z") },
            { id: 1520, sensor_reading_id: 212, anomaly_type: "temperature spike", description: "Flagged as urgent. An operator replaced the document.", timestamp: new Date("2023-01-11T00:18:30Z") },
            { id: 1521, sensor_reading_id: 285, anomaly_type: "temperature spike", description: "The document was resolved following a minor review.", timestamp: new Date("2023-05-04T04:42:09Z") },
            { id: 1522, sensor_reading_id: 268, anomaly_type: "temperature spike", description: "Flagged as duplicate. Support rescheduled the transfer.", timestamp: new Date("2023-07-07T17:08:03Z") },
            { id: 1523, sensor_reading_id: 227, anomaly_type: "low throughput", description: "No response from an operator, so the delivery was refunded.", timestamp: new Date("2023-09-05T03:09:54Z") },
            { id: 1524, sensor_reading_id: 340, anomaly_type: "temperature spike", description: "A duplicate appointment was updated the same day.", timestamp: new Date("2023-08-25T11:55:42Z") },
            { id: 1525, sensor_reading_id: 154, anomaly_type: "high vibration", description: "The booking was escalated — routine case, no further action.", timestamp: new Date("2023-02-26T15:11:48Z") },
            { id: 1526, sensor_reading_id: 541, anomaly_type: "temperature spike", description: "The customer reported a partial issue; the order was reviewed.", timestamp: new Date("2023-03-17T18:30:38Z") },
            { id: 1527, sensor_reading_id: 132, anomaly_type: "low throughput", description: "The order was processed after a repeat check.", timestamp: new Date("2023-09-08T19:53:18Z") },
            { id: 1528, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "A routine delivery was resolved the same day.", timestamp: new Date("2023-02-26T08:05:55Z") },
            { id: 1529, sensor_reading_id: 296, anomaly_type: "high vibration", description: "A late follow-up: the record was confirmed.", timestamp: new Date("2023-10-19T20:13:03Z") },
            { id: 1530, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "The team confirmed the details and the order was cancelled.", timestamp: new Date("2023-07-25T19:16:31Z") },
            { id: 1531, sensor_reading_id: 326, anomaly_type: "high vibration", description: "The booking was replaced following a late review.", timestamp: new Date("2023-10-10T11:22:47Z") },
            { id: 1532, sensor_reading_id: 229, anomaly_type: "temperature spike", description: "No response from an operator, so the record was updated.", timestamp: new Date("2023-04-21T06:08:24Z") },
            { id: 1533, sensor_reading_id: 34, anomaly_type: "temperature spike", description: "The claim was replaced — repeat case, no further action.", timestamp: new Date("2023-03-18T16:04:19Z") },
            { id: 1534, sensor_reading_id: 317, anomaly_type: "high vibration", description: "The team confirmed the details and the booking was updated.", timestamp: new Date("2023-03-06T20:05:20Z") },
            { id: 1535, sensor_reading_id: 56, anomaly_type: "temperature spike", description: "Flagged as late. The courier refunded the payment.", timestamp: new Date("2023-01-22T12:50:42Z") },
            { id: 1536, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "A late document was processed the same day.", timestamp: new Date("2023-12-15T21:56:52Z") },
            { id: 1537, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "A manual request was delayed the same day.", timestamp: new Date("2023-12-15T01:59:45Z") },
            { id: 1538, sensor_reading_id: 479, anomaly_type: "high vibration", description: "The supplier reported a partial issue; the request was approved.", timestamp: new Date("2023-03-01T22:25:20Z") },
            { id: 1539, sensor_reading_id: 310, anomaly_type: "temperature spike", description: "The courier reported a routine issue; the transfer was replaced.", timestamp: new Date("2023-07-12T20:21:43Z") },
            { id: 1540, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "A routine follow-up: the invoice was delayed.", timestamp: new Date("2023-04-06T12:41:43Z") },
            { id: 1541, sensor_reading_id: 471, anomaly_type: "temperature spike", description: "Flagged as repeat. The courier completed the shipment.", timestamp: new Date("2023-06-19T06:28:07Z") },
            { id: 1542, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "The team reported a routine issue; the report was closed.", timestamp: new Date("2023-02-06T22:11:30Z") },
            { id: 1543, sensor_reading_id: 310, anomaly_type: "temperature spike", description: "No response from the supplier, so the session was rescheduled.", timestamp: new Date("2023-10-08T00:06:00Z") },
            { id: 1544, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "The payment was cancelled after a repeat check.", timestamp: new Date("2023-03-17T01:15:08Z") },
            { id: 1545, sensor_reading_id: 366, anomaly_type: "temperature spike", description: "Flagged as unusual. The account owner processed the document.", timestamp: new Date("2023-10-07T14:51:55Z") },
            { id: 1546, sensor_reading_id: 491, anomaly_type: "low throughput", description: "The reviewer asked for a change and the appointment was updated.", timestamp: new Date("2023-11-06T17:12:16Z") },
            { id: 1547, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "The transfer was completed after a minor check.", timestamp: new Date("2023-02-26T11:46:43Z") },
            { id: 1548, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "The record was cancelled following an incomplete review.", timestamp: new Date("2023-05-31T05:49:40Z") },
            { id: 1549, sensor_reading_id: 83, anomaly_type: "low throughput", description: "The customer asked for a change and the document was refunded.", timestamp: new Date("2023-07-29T16:00:38Z") },
            { id: 1550, sensor_reading_id: 202, anomaly_type: "temperature spike", description: "An operator confirmed the details and the document was cancelled.", timestamp: new Date("2023-04-27T04:52:58Z") },
            { id: 1551, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "An unusual follow-up: the payment was rescheduled.", timestamp: new Date("2023-12-04T09:03:18Z") },
            { id: 1552, sensor_reading_id: 146, anomaly_type: "temperature spike", description: "The supplier asked for a change and the document was confirmed.", timestamp: new Date("2023-05-11T03:43:36Z") },
            { id: 1553, sensor_reading_id: 356, anomaly_type: "low throughput", description: "The transfer was replaced following a routine review.", timestamp: new Date("2023-11-18T15:31:42Z") },
            { id: 1554, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "The courier reported a late issue; the order was closed.", timestamp: new Date("2023-02-23T07:23:09Z") },
            { id: 1555, sensor_reading_id: 99, anomaly_type: "temperature spike", description: "The courier asked for a change and the shipment was delayed.", timestamp: new Date("2023-12-04T00:40:10Z") },
            { id: 1556, sensor_reading_id: 235, anomaly_type: "high vibration", description: "Flagged as manual. The supplier closed the document.", timestamp: new Date("2023-07-22T22:11:34Z") },
            { id: 1557, sensor_reading_id: 58, anomaly_type: "temperature spike", description: "The session was completed following a manual review.", timestamp: new Date("2023-06-04T13:21:07Z") },
            { id: 1558, sensor_reading_id: 189, anomaly_type: "temperature spike", description: "An automatic order was delayed the same day.", timestamp: new Date("2023-03-03T03:55:27Z") },
            { id: 1559, sensor_reading_id: 498, anomaly_type: "temperature spike", description: "Flagged as urgent. The reviewer approved the appointment.", timestamp: new Date("2023-08-04T18:39:46Z") },
            { id: 1560, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "The record was escalated following a manual review.", timestamp: new Date("2023-03-24T07:06:18Z") },
            { id: 1561, sensor_reading_id: 361, anomaly_type: "temperature spike", description: "Flagged as urgent. The supplier escalated the refund.", timestamp: new Date("2023-03-31T21:16:05Z") },
            { id: 1562, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "No response from the supplier, so the session was completed.", timestamp: new Date("2023-06-04T10:01:06Z") },
            { id: 1563, sensor_reading_id: 37, anomaly_type: "high vibration", description: "The customer reported a repeat issue; the request was cancelled.", timestamp: new Date("2023-04-25T17:15:40Z") },
            { id: 1564, sensor_reading_id: 328, anomaly_type: "high vibration", description: "Support asked for a change and the request was updated.", timestamp: new Date("2023-03-07T23:38:24Z") },
            { id: 1565, sensor_reading_id: 364, anomaly_type: "temperature spike", description: "Flagged as incomplete. The supplier approved the shipment.", timestamp: new Date("2023-05-23T11:47:23Z") },
            { id: 1566, sensor_reading_id: 486, anomaly_type: "temperature spike", description: "The invoice was delayed after a late check.", timestamp: new Date("2023-05-08T02:35:58Z") },
            { id: 1567, sensor_reading_id: 296, anomaly_type: "high vibration", description: "The courier confirmed the details and the shipment was completed.", timestamp: new Date("2023-03-12T18:46:53Z") },
            { id: 1568, sensor_reading_id: 369, anomaly_type: "high vibration", description: "The booking was refunded following a partial review.", timestamp: new Date("2023-07-02T16:54:02Z") },
            { id: 1569, sensor_reading_id: 380, anomaly_type: "temperature spike", description: "A partial refund was cancelled the same day.", timestamp: new Date("2023-03-05T15:28:40Z") },
            { id: 1570, sensor_reading_id: 182, anomaly_type: "temperature spike", description: "The document was reopened after an unusual check.", timestamp: new Date("2023-03-02T19:59:29Z") },
            { id: 1571, sensor_reading_id: 268, anomaly_type: "temperature spike", description: "The appointment was closed — unusual case, no further action.", timestamp: new Date("2023-11-01T15:09:06Z") },
            { id: 1572, sensor_reading_id: 171, anomaly_type: "high vibration", description: "Flagged as urgent. The reviewer rescheduled the order.", timestamp: new Date("2023-12-22T09:00:44Z") },
            { id: 1573, sensor_reading_id: 137, anomaly_type: "high vibration", description: "The delivery was escalated after an unusual check.", timestamp: new Date("2023-06-26T21:42:03Z") },
            { id: 1574, sensor_reading_id: 34, anomaly_type: "high vibration", description: "Support reported an urgent issue; the delivery was approved.", timestamp: new Date("2023-02-02T12:22:15Z") },
            { id: 1575, sensor_reading_id: 449, anomaly_type: "temperature spike", description: "The supplier asked for a change and the payment was resolved.", timestamp: new Date("2023-04-15T07:43:00Z") },
            { id: 1576, sensor_reading_id: 255, anomaly_type: "high vibration", description: "The account owner confirmed the details and the report was closed.", timestamp: new Date("2023-05-31T16:40:59Z") },
            { id: 1577, sensor_reading_id: 543, anomaly_type: "temperature spike", description: "The item was approved following a standard review.", timestamp: new Date("2023-07-08T07:04:43Z") },
            { id: 1578, sensor_reading_id: 354, anomaly_type: "temperature spike", description: "The customer reported a repeat issue; the item was cancelled.", timestamp: new Date("2023-01-19T12:03:12Z") },
            { id: 1579, sensor_reading_id: 184, anomaly_type: "high vibration", description: "The reviewer asked for a change and the item was processed.", timestamp: new Date("2023-12-22T00:21:09Z") },
            { id: 1580, sensor_reading_id: 58, anomaly_type: "high vibration", description: "Flagged as manual. The supplier resolved the transfer.", timestamp: new Date("2023-03-18T05:58:42Z") },
            { id: 1581, sensor_reading_id: 153, anomaly_type: "high vibration", description: "The order was completed after a minor check.", timestamp: new Date("2023-03-20T14:05:37Z") },
            { id: 1582, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "Flagged as standard. The reviewer completed the booking.", timestamp: new Date("2023-12-16T18:01:46Z") },
            { id: 1583, sensor_reading_id: 427, anomaly_type: "temperature spike", description: "The team reported a late issue; the delivery was replaced.", timestamp: new Date("2023-11-04T19:39:49Z") },
            { id: 1584, sensor_reading_id: 339, anomaly_type: "low throughput", description: "The invoice was refunded after a minor check.", timestamp: new Date("2023-05-23T01:57:59Z") },
            { id: 1585, sensor_reading_id: 30, anomaly_type: "temperature spike", description: "Support asked for a change and the refund was confirmed.", timestamp: new Date("2023-10-12T01:28:57Z") },
            { id: 1586, sensor_reading_id: 331, anomaly_type: "temperature spike", description: "An incomplete follow-up: the item was confirmed.", timestamp: new Date("2023-08-15T15:32:43Z") },
            { id: 1587, sensor_reading_id: 213, anomaly_type: "temperature spike", description: "An automatic follow-up: the transfer was reopened.", timestamp: new Date("2023-01-05T20:39:25Z") },
            { id: 1588, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "An unusual follow-up: the claim was confirmed.", timestamp: new Date("2023-12-17T01:40:17Z") },
            { id: 1589, sensor_reading_id: 313, anomaly_type: "temperature spike", description: "Flagged as standard. The reviewer resolved the shipment.", timestamp: new Date("2023-04-18T08:33:14Z") },
            { id: 1590, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "The supplier reported a repeat issue; the document was approved.", timestamp: new Date("2023-08-14T20:11:52Z") },
            { id: 1591, sensor_reading_id: 126, anomaly_type: "temperature spike", description: "An operator confirmed the details and the refund was delayed.", timestamp: new Date("2023-01-14T04:02:37Z") },
            { id: 1592, sensor_reading_id: 460, anomaly_type: "temperature spike", description: "Support reported a standard issue; the appointment was completed.", timestamp: new Date("2023-10-24T04:03:48Z") },
            { id: 1593, sensor_reading_id: 233, anomaly_type: "high vibration", description: "No response from the account owner, so the delivery was delayed.", timestamp: new Date("2023-03-16T16:04:08Z") },
            { id: 1594, sensor_reading_id: 534, anomaly_type: "high vibration", description: "An incomplete item was confirmed the same day.", timestamp: new Date("2023-04-09T11:38:35Z") },
            { id: 1595, sensor_reading_id: 91, anomaly_type: "temperature spike", description: "A minor follow-up: the shipment was reopened.", timestamp: new Date("2023-04-21T09:41:18Z") },
            { id: 1596, sensor_reading_id: 211, anomaly_type: "temperature spike", description: "No response from the customer, so the item was cancelled.", timestamp: new Date("2023-03-17T17:45:09Z") },
            { id: 1597, sensor_reading_id: 207, anomaly_type: "temperature spike", description: "Flagged as repeat. The supplier confirmed the ticket.", timestamp: new Date("2023-12-01T00:36:38Z") },
            { id: 1598, sensor_reading_id: 327, anomaly_type: "temperature spike", description: "Flagged as incomplete. An operator resolved the order.", timestamp: new Date("2023-09-13T03:01:19Z") },
            { id: 1599, sensor_reading_id: 373, anomaly_type: "temperature spike", description: "No response from the reviewer, so the document was rejected.", timestamp: new Date("2023-02-22T10:16:56Z") },
            { id: 1600, sensor_reading_id: 277, anomaly_type: "low throughput", description: "The payment was refunded following an urgent review.", timestamp: new Date("2023-08-28T00:57:35Z") },
            { id: 1601, sensor_reading_id: 375, anomaly_type: "temperature spike", description: "The courier asked for a change and the document was resolved.", timestamp: new Date("2023-12-20T20:50:42Z") },
            { id: 1602, sensor_reading_id: 512, anomaly_type: "temperature spike", description: "The record was reopened — duplicate case, no further action.", timestamp: new Date("2023-09-21T05:58:33Z") },
            { id: 1603, sensor_reading_id: 45, anomaly_type: "temperature spike", description: "No response from the courier, so the claim was closed.", timestamp: new Date("2023-08-06T16:05:39Z") },
            { id: 1604, sensor_reading_id: 110, anomaly_type: "temperature spike", description: "The courier asked for a change and the account was reopened.", timestamp: new Date("2023-02-08T18:29:42Z") },
            { id: 1605, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "The account was reviewed following a manual review.", timestamp: new Date("2023-08-03T16:48:18Z") },
            { id: 1606, sensor_reading_id: 192, anomaly_type: "temperature spike", description: "An incomplete follow-up: the document was rescheduled.", timestamp: new Date("2023-04-19T15:00:22Z") },
            { id: 1607, sensor_reading_id: 469, anomaly_type: "low throughput", description: "Support confirmed the details and the order was cancelled.", timestamp: new Date("2023-04-10T22:19:22Z") },
            { id: 1608, sensor_reading_id: 105, anomaly_type: "temperature spike", description: "The customer reported a standard issue; the account was reopened.", timestamp: new Date("2023-12-09T21:58:21Z") },
            { id: 1609, sensor_reading_id: 498, anomaly_type: "temperature spike", description: "An operator reported a manual issue; the booking was replaced.", timestamp: new Date("2023-12-09T18:06:17Z") },
            { id: 1610, sensor_reading_id: 461, anomaly_type: "temperature spike", description: "Flagged as partial. The team confirmed the invoice.", timestamp: new Date("2023-05-06T03:26:18Z") },
            { id: 1611, sensor_reading_id: 364, anomaly_type: "high vibration", description: "The invoice was resolved following a repeat review.", timestamp: new Date("2023-12-15T20:14:09Z") },
            { id: 1612, sensor_reading_id: 107, anomaly_type: "temperature spike", description: "An operator asked for a change and the document was resolved.", timestamp: new Date("2023-06-18T22:41:42Z") },
            { id: 1613, sensor_reading_id: 218, anomaly_type: "high vibration", description: "The courier asked for a change and the item was processed.", timestamp: new Date("2023-06-04T20:53:07Z") },
            { id: 1614, sensor_reading_id: 210, anomaly_type: "high vibration", description: "A partial follow-up: the appointment was processed.", timestamp: new Date("2023-11-02T06:12:29Z") },
            { id: 1615, sensor_reading_id: 84, anomaly_type: "temperature spike", description: "The transfer was completed following a late review.", timestamp: new Date("2023-07-03T02:14:37Z") },
            { id: 1616, sensor_reading_id: 255, anomaly_type: "temperature spike", description: "A partial follow-up: the session was escalated.", timestamp: new Date("2023-06-04T07:22:59Z") },
            { id: 1617, sensor_reading_id: 286, anomaly_type: "temperature spike", description: "The supplier asked for a change and the session was reviewed.", timestamp: new Date("2023-12-16T22:59:45Z") },
            { id: 1618, sensor_reading_id: 225, anomaly_type: "temperature spike", description: "The booking was refunded — incomplete case, no further action.", timestamp: new Date("2023-01-13T14:04:40Z") },
            { id: 1619, sensor_reading_id: 517, anomaly_type: "temperature spike", description: "An unusual order was resolved the same day.", timestamp: new Date("2023-08-24T21:44:54Z") },
            { id: 1620, sensor_reading_id: 501, anomaly_type: "high vibration", description: "A duplicate document was completed the same day.", timestamp: new Date("2023-07-03T14:01:12Z") },
            { id: 1621, sensor_reading_id: 226, anomaly_type: "temperature spike", description: "The booking was reopened after an incomplete check.", timestamp: new Date("2023-03-29T12:20:30Z") },
            { id: 1622, sensor_reading_id: 109, anomaly_type: "high vibration", description: "The delivery was updated following a standard review.", timestamp: new Date("2023-09-21T23:44:14Z") },
            { id: 1623, sensor_reading_id: 499, anomaly_type: "high vibration", description: "The invoice was confirmed after a manual check.", timestamp: new Date("2023-08-17T00:27:12Z") },
            { id: 1624, sensor_reading_id: 373, anomaly_type: "temperature spike", description: "The reviewer reported an urgent issue; the refund was resolved.", timestamp: new Date("2023-09-23T19:15:25Z") },
            { id: 1625, sensor_reading_id: 196, anomaly_type: "low throughput", description: "The payment was delayed after a partial check.", timestamp: new Date("2023-02-21T11:53:14Z") },
            { id: 1626, sensor_reading_id: 11, anomaly_type: "high vibration", description: "A manual item was closed the same day.", timestamp: new Date("2023-11-13T10:35:20Z") },
            { id: 1627, sensor_reading_id: 68, anomaly_type: "low throughput", description: "The document was rejected after a minor check.", timestamp: new Date("2023-05-06T02:55:45Z") },
            { id: 1628, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "An automatic payment was approved the same day.", timestamp: new Date("2023-08-27T11:20:33Z") },
            { id: 1629, sensor_reading_id: 324, anomaly_type: "high vibration", description: "The transfer was closed — routine case, no further action.", timestamp: new Date("2023-11-23T14:08:27Z") },
            { id: 1630, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "The supplier asked for a change and the transfer was reopened.", timestamp: new Date("2023-08-31T11:36:14Z") },
            { id: 1631, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "The customer asked for a change and the session was escalated.", timestamp: new Date("2023-11-06T04:24:02Z") },
            { id: 1632, sensor_reading_id: 162, anomaly_type: "temperature spike", description: "The courier reported a routine issue; the record was cancelled.", timestamp: new Date("2023-05-29T12:15:59Z") },
            { id: 1633, sensor_reading_id: 444, anomaly_type: "temperature spike", description: "No response from the supplier, so the report was processed.", timestamp: new Date("2023-06-15T02:44:20Z") },
            { id: 1634, sensor_reading_id: 336, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the document was reviewed.", timestamp: new Date("2023-11-30T00:36:52Z") },
            { id: 1635, sensor_reading_id: 412, anomaly_type: "temperature spike", description: "No response from the customer, so the appointment was updated.", timestamp: new Date("2023-03-08T08:00:59Z") },
            { id: 1636, sensor_reading_id: 132, anomaly_type: "high vibration", description: "The ticket was closed — incomplete case, no further action.", timestamp: new Date("2023-11-09T14:36:21Z") },
            { id: 1637, sensor_reading_id: 156, anomaly_type: "low throughput", description: "The ticket was approved after a duplicate check.", timestamp: new Date("2023-12-18T15:22:34Z") },
            { id: 1638, sensor_reading_id: 442, anomaly_type: "temperature spike", description: "No response from the courier, so the item was reopened.", timestamp: new Date("2023-11-16T07:58:19Z") },
            { id: 1639, sensor_reading_id: 438, anomaly_type: "high vibration", description: "A standard invoice was reopened the same day.", timestamp: new Date("2023-04-19T08:00:13Z") },
            { id: 1640, sensor_reading_id: 273, anomaly_type: "high vibration", description: "An automatic ticket was confirmed the same day.", timestamp: new Date("2023-12-21T23:57:20Z") },
            { id: 1641, sensor_reading_id: 336, anomaly_type: "low throughput", description: "An incomplete follow-up: the record was reviewed.", timestamp: new Date("2023-02-01T01:23:16Z") },
            { id: 1642, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "The delivery was delayed following a minor review.", timestamp: new Date("2023-11-07T21:53:45Z") },
            { id: 1643, sensor_reading_id: 550, anomaly_type: "temperature spike", description: "The refund was rescheduled — automatic case, no further action.", timestamp: new Date("2023-12-23T17:26:39Z") },
            { id: 1644, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "The team reported an automatic issue; the claim was escalated.", timestamp: new Date("2023-11-19T15:34:32Z") },
            { id: 1645, sensor_reading_id: 40, anomaly_type: "high vibration", description: "A partial appointment was refunded the same day.", timestamp: new Date("2023-06-02T01:09:07Z") },
            { id: 1646, sensor_reading_id: 40, anomaly_type: "high vibration", description: "An operator reported a minor issue; the document was reopened.", timestamp: new Date("2023-04-04T16:00:49Z") },
            { id: 1647, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "The team confirmed the details and the ticket was confirmed.", timestamp: new Date("2023-06-24T14:02:42Z") },
            { id: 1648, sensor_reading_id: 437, anomaly_type: "low throughput", description: "No response from the team, so the booking was approved.", timestamp: new Date("2023-06-09T05:05:46Z") },
            { id: 1649, sensor_reading_id: 365, anomaly_type: "temperature spike", description: "An incomplete follow-up: the booking was delayed.", timestamp: new Date("2023-10-17T11:38:03Z") },
            { id: 1650, sensor_reading_id: 479, anomaly_type: "temperature spike", description: "Flagged as minor. Support delayed the payment.", timestamp: new Date("2023-10-22T22:18:17Z") },
            { id: 1651, sensor_reading_id: 235, anomaly_type: "temperature spike", description: "A standard payment was escalated the same day.", timestamp: new Date("2023-12-01T19:29:51Z") },
            { id: 1652, sensor_reading_id: 407, anomaly_type: "temperature spike", description: "The shipment was escalated following a manual review.", timestamp: new Date("2023-05-11T00:20:22Z") },
            { id: 1653, sensor_reading_id: 363, anomaly_type: "low throughput", description: "The order was processed after a repeat check.", timestamp: new Date("2023-10-02T07:38:46Z") },
            { id: 1654, sensor_reading_id: 64, anomaly_type: "low throughput", description: "The courier confirmed the details and the record was rescheduled.", timestamp: new Date("2023-08-30T13:04:19Z") },
            { id: 1655, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "The courier confirmed the details and the ticket was refunded.", timestamp: new Date("2023-11-08T02:59:57Z") },
            { id: 1656, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "Support confirmed the details and the invoice was resolved.", timestamp: new Date("2023-06-25T14:22:33Z") },
            { id: 1657, sensor_reading_id: 107, anomaly_type: "low throughput", description: "No response from the team, so the booking was rescheduled.", timestamp: new Date("2023-08-25T05:05:26Z") },
            { id: 1658, sensor_reading_id: 118, anomaly_type: "high vibration", description: "A routine claim was cancelled the same day.", timestamp: new Date("2023-11-23T09:29:33Z") },
            { id: 1659, sensor_reading_id: 527, anomaly_type: "high vibration", description: "No response from the account owner, so the claim was cancelled.", timestamp: new Date("2023-09-23T00:46:25Z") },
            { id: 1660, sensor_reading_id: 450, anomaly_type: "low throughput", description: "The payment was closed — manual case, no further action.", timestamp: new Date("2023-12-12T20:53:20Z") },
            { id: 1661, sensor_reading_id: 370, anomaly_type: "temperature spike", description: "A standard follow-up: the request was resolved.", timestamp: new Date("2023-03-26T05:00:17Z") },
            { id: 1662, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "The courier reported a partial issue; the delivery was delayed.", timestamp: new Date("2023-11-16T07:20:50Z") },
            { id: 1663, sensor_reading_id: 214, anomaly_type: "temperature spike", description: "The report was reviewed after an automatic check.", timestamp: new Date("2023-09-06T08:40:04Z") },
            { id: 1664, sensor_reading_id: 398, anomaly_type: "temperature spike", description: "Support asked for a change and the payment was approved.", timestamp: new Date("2023-07-18T08:52:02Z") },
            { id: 1665, sensor_reading_id: 507, anomaly_type: "temperature spike", description: "The order was rescheduled after an urgent check.", timestamp: new Date("2023-08-06T17:05:00Z") },
            { id: 1666, sensor_reading_id: 385, anomaly_type: "low throughput", description: "The account was rejected after an unusual check.", timestamp: new Date("2023-01-29T07:24:34Z") },
            { id: 1667, sensor_reading_id: 497, anomaly_type: "high vibration", description: "The courier reported a minor issue; the ticket was completed.", timestamp: new Date("2023-05-08T19:51:19Z") },
            { id: 1668, sensor_reading_id: 177, anomaly_type: "temperature spike", description: "No response from the supplier, so the invoice was processed.", timestamp: new Date("2023-01-07T17:48:40Z") },
            { id: 1669, sensor_reading_id: 128, anomaly_type: "temperature spike", description: "No response from the customer, so the ticket was refunded.", timestamp: new Date("2023-08-28T07:58:49Z") },
            { id: 1670, sensor_reading_id: 427, anomaly_type: "temperature spike", description: "The record was reviewed — routine case, no further action.", timestamp: new Date("2023-04-26T20:41:05Z") },
            { id: 1671, sensor_reading_id: 124, anomaly_type: "temperature spike", description: "Flagged as manual. An operator resolved the record.", timestamp: new Date("2023-07-28T03:02:07Z") },
            { id: 1672, sensor_reading_id: 337, anomaly_type: "temperature spike", description: "No response from the team, so the shipment was updated.", timestamp: new Date("2023-05-19T21:33:09Z") },
            { id: 1673, sensor_reading_id: 481, anomaly_type: "temperature spike", description: "The team asked for a change and the booking was closed.", timestamp: new Date("2023-06-23T15:03:35Z") },
            { id: 1674, sensor_reading_id: 309, anomaly_type: "temperature spike", description: "Flagged as partial. The account owner reviewed the report.", timestamp: new Date("2023-03-17T22:53:07Z") },
            { id: 1675, sensor_reading_id: 51, anomaly_type: "temperature spike", description: "A late follow-up: the transfer was rejected.", timestamp: new Date("2023-09-25T19:52:22Z") },
            { id: 1676, sensor_reading_id: 154, anomaly_type: "temperature spike", description: "An operator asked for a change and the document was processed.", timestamp: new Date("2023-09-08T15:06:10Z") },
            { id: 1677, sensor_reading_id: 41, anomaly_type: "temperature spike", description: "No response from the account owner, so the claim was replaced.", timestamp: new Date("2023-04-30T22:47:06Z") },
            { id: 1678, sensor_reading_id: 172, anomaly_type: "temperature spike", description: "The courier confirmed the details and the refund was reviewed.", timestamp: new Date("2023-01-06T14:02:37Z") },
            { id: 1679, sensor_reading_id: 130, anomaly_type: "temperature spike", description: "An urgent request was confirmed the same day.", timestamp: new Date("2023-09-03T09:59:49Z") },
            { id: 1680, sensor_reading_id: 539, anomaly_type: "low throughput", description: "Support asked for a change and the transfer was closed.", timestamp: new Date("2023-03-30T21:42:23Z") },
            { id: 1681, sensor_reading_id: 416, anomaly_type: "temperature spike", description: "The request was reopened following a manual review.", timestamp: new Date("2023-08-08T23:50:57Z") },
            { id: 1682, sensor_reading_id: 532, anomaly_type: "temperature spike", description: "A standard follow-up: the session was resolved.", timestamp: new Date("2023-08-31T00:35:26Z") },
            { id: 1683, sensor_reading_id: 118, anomaly_type: "temperature spike", description: "Flagged as standard. The account owner processed the invoice.", timestamp: new Date("2023-06-02T22:38:02Z") },
            { id: 1684, sensor_reading_id: 514, anomaly_type: "low throughput", description: "A late follow-up: the order was escalated.", timestamp: new Date("2023-05-24T11:34:10Z") },
            { id: 1685, sensor_reading_id: 387, anomaly_type: "low throughput", description: "An operator confirmed the details and the booking was cancelled.", timestamp: new Date("2023-07-11T08:49:26Z") },
            { id: 1686, sensor_reading_id: 89, anomaly_type: "temperature spike", description: "The record was escalated — duplicate case, no further action.", timestamp: new Date("2023-09-11T00:33:01Z") },
            { id: 1687, sensor_reading_id: 130, anomaly_type: "high vibration", description: "A duplicate invoice was reopened the same day.", timestamp: new Date("2023-02-18T19:21:12Z") },
            { id: 1688, sensor_reading_id: 235, anomaly_type: "temperature spike", description: "A repeat follow-up: the booking was rescheduled.", timestamp: new Date("2023-05-18T05:58:24Z") },
            { id: 1689, sensor_reading_id: 187, anomaly_type: "temperature spike", description: "The account was refunded — incomplete case, no further action.", timestamp: new Date("2023-08-31T14:53:24Z") },
            { id: 1690, sensor_reading_id: 155, anomaly_type: "temperature spike", description: "Flagged as late. The account owner reviewed the payment.", timestamp: new Date("2023-01-08T02:42:29Z") },
            { id: 1691, sensor_reading_id: 85, anomaly_type: "temperature spike", description: "A manual follow-up: the booking was completed.", timestamp: new Date("2023-01-27T14:17:11Z") },
            { id: 1692, sensor_reading_id: 399, anomaly_type: "temperature spike", description: "An operator asked for a change and the transfer was processed.", timestamp: new Date("2023-12-19T06:22:09Z") },
            { id: 1693, sensor_reading_id: 481, anomaly_type: "high vibration", description: "The report was reviewed after a late check.", timestamp: new Date("2023-12-11T15:32:39Z") },
            { id: 1694, sensor_reading_id: 261, anomaly_type: "low throughput", description: "The supplier reported a minor issue; the ticket was refunded.", timestamp: new Date("2023-04-23T09:58:29Z") },
            { id: 1695, sensor_reading_id: 287, anomaly_type: "low throughput", description: "A minor follow-up: the request was rejected.", timestamp: new Date("2023-08-18T09:40:58Z") },
            { id: 1696, sensor_reading_id: 401, anomaly_type: "temperature spike", description: "An urgent follow-up: the order was reopened.", timestamp: new Date("2023-01-28T15:04:46Z") },
            { id: 1697, sensor_reading_id: 93, anomaly_type: "low throughput", description: "Flagged as routine. The courier escalated the refund.", timestamp: new Date("2023-08-26T21:31:52Z") },
            { id: 1698, sensor_reading_id: 379, anomaly_type: "temperature spike", description: "The appointment was rejected following a minor review.", timestamp: new Date("2023-05-15T11:11:49Z") },
            { id: 1699, sensor_reading_id: 418, anomaly_type: "temperature spike", description: "The document was updated following an urgent review.", timestamp: new Date("2023-01-18T09:35:24Z") },
            { id: 1700, sensor_reading_id: 57, anomaly_type: "high vibration", description: "The claim was confirmed following an incomplete review.", timestamp: new Date("2023-07-26T00:08:00Z") },
            { id: 1701, sensor_reading_id: 217, anomaly_type: "temperature spike", description: "Flagged as standard. An operator reviewed the request.", timestamp: new Date("2023-07-12T20:17:57Z") },
            { id: 1702, sensor_reading_id: 84, anomaly_type: "temperature spike", description: "No response from the supplier, so the delivery was confirmed.", timestamp: new Date("2023-08-17T04:11:36Z") },
            { id: 1703, sensor_reading_id: 146, anomaly_type: "high vibration", description: "No response from the account owner, so the booking was refunded.", timestamp: new Date("2023-10-03T21:40:55Z") },
            { id: 1704, sensor_reading_id: 73, anomaly_type: "temperature spike", description: "The courier reported an urgent issue; the appointment was replaced.", timestamp: new Date("2023-09-01T08:48:16Z") },
            { id: 1705, sensor_reading_id: 401, anomaly_type: "temperature spike", description: "The booking was replaced — partial case, no further action.", timestamp: new Date("2023-04-04T08:44:11Z") },
            { id: 1706, sensor_reading_id: 69, anomaly_type: "temperature spike", description: "An urgent refund was escalated the same day.", timestamp: new Date("2023-05-23T23:23:35Z") },
            { id: 1707, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "The item was escalated after a standard check.", timestamp: new Date("2023-12-29T08:17:28Z") },
            { id: 1708, sensor_reading_id: 260, anomaly_type: "temperature spike", description: "The supplier confirmed the details and the order was rescheduled.", timestamp: new Date("2023-12-17T07:06:43Z") },
            { id: 1709, sensor_reading_id: 464, anomaly_type: "temperature spike", description: "Flagged as standard. Support processed the shipment.", timestamp: new Date("2023-08-08T03:31:28Z") },
            { id: 1710, sensor_reading_id: 331, anomaly_type: "temperature spike", description: "The customer reported a repeat issue; the shipment was escalated.", timestamp: new Date("2023-01-16T05:58:14Z") },
            { id: 1711, sensor_reading_id: 151, anomaly_type: "low throughput", description: "An automatic transfer was rejected the same day.", timestamp: new Date("2023-01-12T21:32:03Z") },
            { id: 1712, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "The claim was reviewed — partial case, no further action.", timestamp: new Date("2023-02-20T15:48:11Z") },
            { id: 1713, sensor_reading_id: 495, anomaly_type: "temperature spike", description: "Flagged as unusual. The team closed the appointment.", timestamp: new Date("2023-09-07T19:12:49Z") },
            { id: 1714, sensor_reading_id: 262, anomaly_type: "temperature spike", description: "The reviewer asked for a change and the order was approved.", timestamp: new Date("2023-12-09T03:38:24Z") },
            { id: 1715, sensor_reading_id: 422, anomaly_type: "high vibration", description: "Flagged as duplicate. An operator closed the transfer.", timestamp: new Date("2023-04-16T10:36:08Z") },
            { id: 1716, sensor_reading_id: 274, anomaly_type: "temperature spike", description: "The account owner asked for a change and the order was refunded.", timestamp: new Date("2023-02-05T04:08:17Z") },
            { id: 1717, sensor_reading_id: 272, anomaly_type: "high vibration", description: "The courier asked for a change and the document was refunded.", timestamp: new Date("2023-04-15T13:24:27Z") },
            { id: 1718, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "Flagged as repeat. Support cancelled the account.", timestamp: new Date("2023-12-09T12:11:34Z") },
            { id: 1719, sensor_reading_id: 171, anomaly_type: "temperature spike", description: "The refund was closed following a partial review.", timestamp: new Date("2023-01-12T23:25:14Z") },
            { id: 1720, sensor_reading_id: 387, anomaly_type: "temperature spike", description: "An operator confirmed the details and the request was closed.", timestamp: new Date("2023-06-11T22:44:16Z") },
            { id: 1721, sensor_reading_id: 201, anomaly_type: "temperature spike", description: "The supplier reported a late issue; the account was reopened.", timestamp: new Date("2023-05-18T00:03:12Z") },
            { id: 1722, sensor_reading_id: 401, anomaly_type: "temperature spike", description: "Support asked for a change and the payment was confirmed.", timestamp: new Date("2023-07-09T02:34:23Z") },
            { id: 1723, sensor_reading_id: 235, anomaly_type: "temperature spike", description: "An automatic follow-up: the account was confirmed.", timestamp: new Date("2023-04-22T19:56:40Z") },
            { id: 1724, sensor_reading_id: 313, anomaly_type: "temperature spike", description: "No response from the customer, so the appointment was replaced.", timestamp: new Date("2023-03-20T07:59:58Z") },
            { id: 1725, sensor_reading_id: 239, anomaly_type: "temperature spike", description: "The account owner asked for a change and the report was resolved.", timestamp: new Date("2023-04-23T09:01:25Z") },
            { id: 1726, sensor_reading_id: 235, anomaly_type: "high vibration", description: "An operator confirmed the details and the account was reopened.", timestamp: new Date("2023-12-21T17:23:30Z") },
            { id: 1727, sensor_reading_id: 23, anomaly_type: "temperature spike", description: "The reviewer reported a manual issue; the session was approved.", timestamp: new Date("2023-11-27T23:13:42Z") },
            { id: 1728, sensor_reading_id: 231, anomaly_type: "temperature spike", description: "The transfer was approved — automatic case, no further action.", timestamp: new Date("2023-08-04T01:01:25Z") },
            { id: 1729, sensor_reading_id: 378, anomaly_type: "temperature spike", description: "A partial record was reviewed the same day.", timestamp: new Date("2023-02-13T00:43:06Z") },
            { id: 1730, sensor_reading_id: 169, anomaly_type: "high vibration", description: "A standard session was rescheduled the same day.", timestamp: new Date("2023-04-05T10:09:52Z") },
            { id: 1731, sensor_reading_id: 311, anomaly_type: "high vibration", description: "Support asked for a change and the booking was completed.", timestamp: new Date("2023-03-20T11:01:36Z") },
            { id: 1732, sensor_reading_id: 393, anomaly_type: "temperature spike", description: "The shipment was reviewed after an automatic check.", timestamp: new Date("2023-11-01T17:33:59Z") },
            { id: 1733, sensor_reading_id: 361, anomaly_type: "low throughput", description: "The invoice was updated following a minor review.", timestamp: new Date("2023-02-09T16:32:34Z") },
            { id: 1734, sensor_reading_id: 180, anomaly_type: "temperature spike", description: "Support asked for a change and the claim was cancelled.", timestamp: new Date("2023-08-30T03:12:13Z") },
            { id: 1735, sensor_reading_id: 316, anomaly_type: "temperature spike", description: "No response from the reviewer, so the order was closed.", timestamp: new Date("2023-02-05T13:26:11Z") },
            { id: 1736, sensor_reading_id: 367, anomaly_type: "temperature spike", description: "The session was escalated after a late check.", timestamp: new Date("2023-01-03T19:47:40Z") },
            { id: 1737, sensor_reading_id: 128, anomaly_type: "temperature spike", description: "Support confirmed the details and the transfer was resolved.", timestamp: new Date("2023-01-23T22:19:59Z") },
            { id: 1738, sensor_reading_id: 7, anomaly_type: "temperature spike", description: "The transfer was resolved after a manual check.", timestamp: new Date("2023-09-24T09:37:18Z") },
            { id: 1739, sensor_reading_id: 345, anomaly_type: "high vibration", description: "The customer reported an unusual issue; the shipment was completed.", timestamp: new Date("2023-05-26T19:59:14Z") },
            { id: 1740, sensor_reading_id: 414, anomaly_type: "low throughput", description: "The ticket was closed after a duplicate check.", timestamp: new Date("2023-09-06T10:41:58Z") },
            { id: 1741, sensor_reading_id: 355, anomaly_type: "temperature spike", description: "A routine order was completed the same day.", timestamp: new Date("2023-07-10T07:45:51Z") },
            { id: 1742, sensor_reading_id: 551, anomaly_type: "temperature spike", description: "A repeat delivery was confirmed the same day.", timestamp: new Date("2023-09-09T11:50:24Z") },
            { id: 1743, sensor_reading_id: 34, anomaly_type: "temperature spike", description: "The record was reviewed after an urgent check.", timestamp: new Date("2023-12-20T10:10:03Z") },
            { id: 1744, sensor_reading_id: 316, anomaly_type: "low throughput", description: "A manual follow-up: the ticket was rescheduled.", timestamp: new Date("2023-04-13T18:06:54Z") },
            { id: 1745, sensor_reading_id: 533, anomaly_type: "temperature spike", description: "No response from the customer, so the booking was updated.", timestamp: new Date("2023-08-27T21:59:14Z") },
            { id: 1746, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "The courier confirmed the details and the request was reviewed.", timestamp: new Date("2023-01-23T06:01:37Z") },
            { id: 1747, sensor_reading_id: 424, anomaly_type: "temperature spike", description: "A repeat report was closed the same day.", timestamp: new Date("2023-08-18T12:08:55Z") },
            { id: 1748, sensor_reading_id: 101, anomaly_type: "low throughput", description: "No response from the supplier, so the item was confirmed.", timestamp: new Date("2023-01-24T21:07:22Z") },
            { id: 1749, sensor_reading_id: 181, anomaly_type: "temperature spike", description: "A routine follow-up: the order was resolved.", timestamp: new Date("2023-04-04T23:16:22Z") },
            { id: 1750, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "Flagged as duplicate. Support closed the claim.", timestamp: new Date("2023-12-03T01:07:45Z") },
            { id: 1751, sensor_reading_id: 464, anomaly_type: "low throughput", description: "The report was updated following a manual review.", timestamp: new Date("2023-10-28T15:16:09Z") },
            { id: 1752, sensor_reading_id: 346, anomaly_type: "temperature spike", description: "The customer asked for a change and the payment was escalated.", timestamp: new Date("2023-11-27T00:44:47Z") },
            { id: 1753, sensor_reading_id: 527, anomaly_type: "temperature spike", description: "A manual follow-up: the report was approved.", timestamp: new Date("2023-06-29T09:11:46Z") },
            { id: 1754, sensor_reading_id: 69, anomaly_type: "temperature spike", description: "The team asked for a change and the record was processed.", timestamp: new Date("2023-06-09T21:24:07Z") },
            { id: 1755, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "The booking was delayed following a manual review.", timestamp: new Date("2023-07-21T20:52:41Z") },
            { id: 1756, sensor_reading_id: 113, anomaly_type: "temperature spike", description: "A late session was rejected the same day.", timestamp: new Date("2023-03-30T12:24:22Z") },
            { id: 1757, sensor_reading_id: 349, anomaly_type: "temperature spike", description: "The order was reviewed — repeat case, no further action.", timestamp: new Date("2023-01-31T02:34:10Z") },
            { id: 1758, sensor_reading_id: 139, anomaly_type: "temperature spike", description: "No response from the courier, so the delivery was reviewed.", timestamp: new Date("2023-07-06T01:55:51Z") },
            { id: 1759, sensor_reading_id: 36, anomaly_type: "high vibration", description: "A repeat payment was completed the same day.", timestamp: new Date("2023-05-31T12:01:46Z") },
            { id: 1760, sensor_reading_id: 182, anomaly_type: "temperature spike", description: "A routine follow-up: the document was completed.", timestamp: new Date("2023-11-02T11:16:30Z") },
            { id: 1761, sensor_reading_id: 299, anomaly_type: "temperature spike", description: "The team confirmed the details and the order was approved.", timestamp: new Date("2023-06-14T14:28:26Z") },
            { id: 1762, sensor_reading_id: 140, anomaly_type: "temperature spike", description: "No response from the courier, so the item was rescheduled.", timestamp: new Date("2023-05-03T16:24:33Z") },
            { id: 1763, sensor_reading_id: 396, anomaly_type: "temperature spike", description: "The document was replaced — automatic case, no further action.", timestamp: new Date("2023-06-23T23:08:42Z") },
            { id: 1764, sensor_reading_id: 438, anomaly_type: "temperature spike", description: "The session was rescheduled — unusual case, no further action.", timestamp: new Date("2023-07-04T06:23:04Z") },
            { id: 1765, sensor_reading_id: 161, anomaly_type: "temperature spike", description: "The supplier reported an urgent issue; the record was completed.", timestamp: new Date("2023-03-11T05:37:40Z") },
            { id: 1766, sensor_reading_id: 477, anomaly_type: "high vibration", description: "The session was cancelled after an urgent check.", timestamp: new Date("2023-07-28T03:29:14Z") },
            { id: 1767, sensor_reading_id: 20, anomaly_type: "temperature spike", description: "The session was delayed following a duplicate review.", timestamp: new Date("2023-03-28T13:09:03Z") },
            { id: 1768, sensor_reading_id: 543, anomaly_type: "temperature spike", description: "A late payment was delayed the same day.", timestamp: new Date("2023-11-15T06:21:00Z") },
            { id: 1769, sensor_reading_id: 151, anomaly_type: "temperature spike", description: "The claim was reviewed following a duplicate review.", timestamp: new Date("2023-02-16T15:52:10Z") },
            { id: 1770, sensor_reading_id: 354, anomaly_type: "temperature spike", description: "A partial booking was resolved the same day.", timestamp: new Date("2023-08-28T04:07:31Z") },
            { id: 1771, sensor_reading_id: 463, anomaly_type: "temperature spike", description: "Support asked for a change and the ticket was cancelled.", timestamp: new Date("2023-04-13T09:35:49Z") },
            { id: 1772, sensor_reading_id: 25, anomaly_type: "low throughput", description: "The reviewer asked for a change and the item was rescheduled.", timestamp: new Date("2023-06-05T11:07:38Z") },
            { id: 1773, sensor_reading_id: 156, anomaly_type: "temperature spike", description: "The booking was delayed following a late review.", timestamp: new Date("2023-03-08T05:34:50Z") },
            { id: 1774, sensor_reading_id: 272, anomaly_type: "high vibration", description: "A routine session was refunded the same day.", timestamp: new Date("2023-07-29T07:49:46Z") },
            { id: 1775, sensor_reading_id: 534, anomaly_type: "temperature spike", description: "The account owner confirmed the details and the ticket was replaced.", timestamp: new Date("2023-05-06T01:16:45Z") },
            { id: 1776, sensor_reading_id: 39, anomaly_type: "temperature spike", description: "The invoice was updated — manual case, no further action.", timestamp: new Date("2023-03-29T00:21:49Z") },
            { id: 1777, sensor_reading_id: 420, anomaly_type: "temperature spike", description: "An operator confirmed the details and the order was confirmed.", timestamp: new Date("2023-01-29T12:42:34Z") },
            { id: 1778, sensor_reading_id: 530, anomaly_type: "temperature spike", description: "No response from support, so the ticket was approved.", timestamp: new Date("2023-10-15T15:56:04Z") },
            { id: 1779, sensor_reading_id: 209, anomaly_type: "temperature spike", description: "The payment was confirmed after a routine check.", timestamp: new Date("2023-03-19T15:31:11Z") },
            { id: 1780, sensor_reading_id: 233, anomaly_type: "temperature spike", description: "The customer reported a late issue; the record was escalated.", timestamp: new Date("2023-02-08T20:05:19Z") },
            { id: 1781, sensor_reading_id: 543, anomaly_type: "high vibration", description: "Flagged as standard. Support escalated the account.", timestamp: new Date("2023-02-06T14:49:17Z") },
            { id: 1782, sensor_reading_id: 539, anomaly_type: "temperature spike", description: "The request was updated after an automatic check.", timestamp: new Date("2023-12-02T13:59:54Z") },
            { id: 1783, sensor_reading_id: 499, anomaly_type: "high vibration", description: "An operator reported an unusual issue; the document was refunded.", timestamp: new Date("2023-04-09T08:21:50Z") },
            { id: 1784, sensor_reading_id: 369, anomaly_type: "temperature spike", description: "The document was completed after an automatic check.", timestamp: new Date("2023-01-17T06:06:10Z") },
            { id: 1785, sensor_reading_id: 389, anomaly_type: "temperature spike", description: "The team asked for a change and the record was rescheduled.", timestamp: new Date("2023-05-16T17:12:48Z") },
            { id: 1786, sensor_reading_id: 179, anomaly_type: "temperature spike", description: "An automatic request was confirmed the same day.", timestamp: new Date("2023-02-20T11:49:03Z") },
            { id: 1787, sensor_reading_id: 449, anomaly_type: "temperature spike", description: "The session was completed following a repeat review.", timestamp: new Date("2023-07-08T18:24:55Z") },
            { id: 1788, sensor_reading_id: 298, anomaly_type: "high vibration", description: "The document was escalated following an unusual review.", timestamp: new Date("2023-10-03T06:59:09Z") },
            { id: 1789, sensor_reading_id: 128, anomaly_type: "high vibration", description: "No response from the courier, so the document was completed.", timestamp: new Date("2023-12-27T16:29:53Z") },
            { id: 1790, sensor_reading_id: 192, anomaly_type: "temperature spike", description: "Support reported a minor issue; the item was processed.", timestamp: new Date("2023-06-20T16:07:59Z") },
            { id: 1791, sensor_reading_id: 106, anomaly_type: "temperature spike", description: "Flagged as duplicate. The reviewer processed the request.", timestamp: new Date("2023-10-20T15:13:28Z") },
            { id: 1792, sensor_reading_id: 404, anomaly_type: "temperature spike", description: "The refund was delayed after a late check.", timestamp: new Date("2023-09-17T11:08:45Z") },
            { id: 1793, sensor_reading_id: 262, anomaly_type: "temperature spike", description: "Flagged as repeat. The courier replaced the order.", timestamp: new Date("2023-06-17T04:17:44Z") },
        ],
    });
}

main()
    .then(() => prisma.$disconnect())
    .catch(async error => {
        console.error(error);
        await prisma.$disconnect();
        process.exit(1);
    });