chore: Add Advantech WISE-2410 connector and its dependencies

decoders/connector/advantech/wise-2410/connector.jsonc

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+{
+  "$schema": "../../../../schema/connector.json",
+  "name": "Advantech WISE-2410",
+  "images": {
+    "logo": "./assets/logo.png"
+  },
+  "versions": {
+    "v1.0.0": {
+      "src": "./v1.0.0/payload.js",
+      "manifest": "./v1.0.0/payload-config.jsonc"
+    }
+  }
+}

decoders/connector/advantech/wise-2410/description.md

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+Industrial smart sensor with accelerometer and temperature sensors over LoRaWAN™

decoders/connector/advantech/wise-2410/v1.0.0/payload-config.jsonc

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+{
+  "$schema": "../../../../../schema/connector_details.json",
+  "description": "../description.md",
+  "install_text": "WISE-2410 is a LoRaWAN wireless condition monitoring sensor integrated with an ARM Cortex-M4 processor, LoRa transceiver, 3-axis accelerometer and temperature sensor. It balances the wireless bandwidth between WISE-2410 and the gateway, so it also mitigates the data transmission fail rates between edge-devices and gateways.\n\nFeatures: \n* LoRaWAN wireless connectivity\n* Built-in 3-axis accelerometer and temperature sensor\n* On-board computing. Directly sends VRMS, ARMS, Peak, Displacement, Kurtosis, Crest factor, Skewness and Standard Deviation values to applications\n* Support battery power supply, no wiring installation needed\n* Easy settings with user friendly interfaces on WISE Studio utility\n* ISO 10816-1 compliant\n* Support wide temperature -20 ~ 80 °C (Battery-powered)\n* IP66 enclosure design\n\n \nProduct Website:\n* https://www.advantech.com/pt-br/products/b7e2306f-d561-4ca9-b0e3-33f7057e185f/wise-2410/mod_25018dc7-355c-40b4-bf9b-c93f6c73f1a0",
+  "install_end_text": "# Advantech WISE-2410 Dashboard Template\n\n\n\n![Template Image](https://api.tago.io/file/5bbcb03b667d7a002e56664b/advantech/smallwise2410dashimg.png)\n\n\n\nInstall the dashboard template by clicking [here](https://admin.tago.io/template/660beb6c2bbc8d00091dd697).",
+  "device_annotation": "Install the dashboard template by clicking [here](https://admin.tago.io/template/660beb6c2bbc8d00091dd697).",
+  "device_parameters": [],
+  "networks": [
+    "../../../../network/lorawan-actility/v1.0.0/payload.js",
+    "../../../../network/lorawan-brdot-/v1.0.0/payload.js",
+    "../../../../network/lorawan-chirpstack/v1.0.0/payload.js",
+    "../../../../network/lorawan-citykinect/v1.0.0/payload.js",
+    "../../../../network/lorawan-everynet/v1.0.0/payload.js",
+    "../../../../network/lorawan-helium/v1.0.0/payload.js",
+    "../../../../network/lorawan-kerlink/v1.0.0/payload.js",
+    "../../../../network/lorawan-loriot-/v1.0.0/payload.js",
+    "../../../../network/lorawan-machineq/v1.0.0/payload.js",
+    "../../../../network/lorawan-orbiwise/v1.0.0/payload.js",
+    "../../../../network/lorawan-senet/v1.0.0/payload.js",
+    "../../../../network/lorawan-senra/v1.0.0/payload.js",
+    "../../../../network/lorawan-swisscom/v1.0.0/payload.js",
+    "../../../../network/lorawan-tektelic/v1.0.0/payload.js",
+    "../../../../network/lorawan-ttittn-v3/v1.0.0/payload.js"
+  ]
+}

decoders/connector/advantech/wise-2410/v1.0.0/payload.test.ts

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+import { describe, test, expect } from "vitest";
+import { decoderRun } from "../../../../../src/functions/decoder-run";
+
+const file_path = "decoders/connector/advantech/wise-2410/v1.0.0/payload.ts" as const;
+
+function preparePayload(payloadHex) {
+  let payload = [{ variable: "payload", value: payloadHex }];
+  payload = decoderRun(file_path, { payload });
+  //y axis
+  const accelerometer_y_axis_senevent = payload.find((item) => item.variable === "accelerometer_y_axis_senevent");
+  const accelerometer_y_axis_crestfactor = payload.find((item) => item.variable === "accelerometer_y_axis_crestfactor");
+  const accelerometer_y_axis_kurtosis = payload.find((item) => item.variable === "accelerometer_y_axis_kurtosis");
+  const accelerometer_y_axis_rms = payload.find((item) => item.variable === "accelerometer_y_axis_rms");
+  const accelerometer_y_axis_peak = payload.find((item) => item.variable === "accelerometer_y_axis_peak");
+  const accelerometer_y_axis_oavelocity = payload.find((item) => item.variable === "accelerometer_y_axis_oavelocity");
+  const accelerometer_y_axis_skewness = payload.find((item) => item.variable === "accelerometer_y_axis_skewness");
+  const accelerometer_y_axis_deviation = payload.find((item) => item.variable === "accelerometer_y_axis_deviation");
+  const accelerometer_y_axis_peak_to_peak_displacement = payload.find((item) => item.variable === "accelerometer_y_axis_peak_to_peak_displacement");
+  //x axis
+  const accelerometer_x_axis_senevent = payload.find((item) => item.variable === "accelerometer_x_axis_senevent");
+  const accelerometer_x_axis_crestfactor = payload.find((item) => item.variable === "accelerometer_x_axis_crestfactor");
+  const accelerometer_x_axis_kurtosis = payload.find((item) => item.variable === "accelerometer_x_axis_kurtosis");
+  const accelerometer_x_axis_rms = payload.find((item) => item.variable === "accelerometer_x_axis_rms");
+  const accelerometer_x_axis_peak = payload.find((item) => item.variable === "accelerometer_x_axis_peak");
+  const accelerometer_x_axis_oavelocity = payload.find((item) => item.variable === "accelerometer_x_axis_oavelocity");
+  const accelerometer_x_axis_skewness = payload.find((item) => item.variable === "accelerometer_x_axis_skewness");
+  const accelerometer_x_axis_deviation = payload.find((item) => item.variable === "accelerometer_x_axis_deviation");
+  const accelerometer_x_axis_peak_to_peak_displacement = payload.find((item) => item.variable === "accelerometer_x_axis_peak_to_peak_displacement");
+  //z axis
+  const accelerometer_z_axis_senevent = payload.find((item) => item.variable === "accelerometer_z_axis_senevent");
+  const accelerometer_z_axis_crestfactor = payload.find((item) => item.variable === "accelerometer_z_axis_crestfactor");
+  const accelerometer_z_axis_kurtosis = payload.find((item) => item.variable === "accelerometer_z_axis_kurtosis");
+  const accelerometer_z_axis_rms = payload.find((item) => item.variable === "accelerometer_z_axis_rms");
+  const accelerometer_z_axis_peak = payload.find((item) => item.variable === "accelerometer_z_axis_peak");
+  const accelerometer_z_axis_oavelocity = payload.find((item) => item.variable === "accelerometer_z_axis_oavelocity");
+  const accelerometer_z_axis_skewness = payload.find((item) => item.variable === "accelerometer_z_axis_skewness");
+  const accelerometer_z_axis_deviation = payload.find((item) => item.variable === "accelerometer_z_axis_deviation");
+  const accelerometer_z_axis_peak_to_peak_displacement = payload.find((item) => item.variable === "accelerometer_z_axis_peak_to_peak_displacement");
+
+  const temphumi_senval = payload.find((item) => item.variable === "temphumi_senval");
+  const temphumi_event = payload.find((item) => item.variable === "temphumi_event");
+  const temphumi_status = payload.find((item) => item.variable === "temphumi_status");
+  const temphumi_range = payload.find((item) => item.variable === "temphumi_range");
+
+  const accelerometer_time = payload.find((item) => item.variable === "accelerometer_time");
+  const accelerometer_logindex = payload.find((item) => item.variable === "accelerometer_logindex");
+  const device_batteryvolt = payload.find((item) => item.variable === "device_batteryvolt");
+  const device_powersrc = payload.find((item) => item.variable === "device_powersrc");
+  const device_events = payload.find((item) => item.variable === "device_events");
+
+  const parse_error = payload.find((item) => item.variable === "parse_error");
+  return {
+    payload,
+    accelerometer_y_axis_senevent,
+    accelerometer_y_axis_crestfactor,
+    accelerometer_y_axis_kurtosis,
+    accelerometer_y_axis_rms,
+    accelerometer_y_axis_peak,
+    accelerometer_y_axis_oavelocity,
+    accelerometer_y_axis_skewness,
+    accelerometer_y_axis_deviation,
+    accelerometer_y_axis_peak_to_peak_displacement,
+    accelerometer_x_axis_senevent,
+    accelerometer_x_axis_crestfactor,
+    accelerometer_x_axis_kurtosis,
+    accelerometer_x_axis_rms,
+    accelerometer_x_axis_peak,
+    accelerometer_x_axis_oavelocity,
+    accelerometer_x_axis_peak_to_peak_displacement,
+    accelerometer_x_axis_skewness,
+    accelerometer_x_axis_deviation,
+    accelerometer_z_axis_senevent,
+    accelerometer_z_axis_crestfactor,
+    accelerometer_z_axis_kurtosis,
+    accelerometer_z_axis_rms,
+    accelerometer_z_axis_peak,
+    accelerometer_z_axis_oavelocity,
+    accelerometer_z_axis_peak_to_peak_displacement,
+    accelerometer_z_axis_skewness,
+    accelerometer_z_axis_deviation,
+    temphumi_senval,
+    temphumi_event,
+    temphumi_status,
+    temphumi_range,
+    accelerometer_time,
+    accelerometer_logindex,
+    device_batteryvolt,
+    device_powersrc,
+    device_events,
+    parse_error,
+  };
+}
+
+describe("Axis", () => {
+  test("should decode the payload correctly", () => {
+    const payloadHex = "817a585008070000001e7800005441e2ff0000100015000f000c0007021b000200040000001f001a001300feff9d011d000200090000001a001a001300f4ff8b01fbff0200070003000000000f6c016660091b00010000106c016696";
+    const result = preparePayload(payloadHex);
+
+    expect(result.accelerometer_y_axis_senevent?.value).toBe(0);
+    expect(result.accelerometer_y_axis_crestfactor?.value).toBe(4.13);
+    expect(result.accelerometer_y_axis_kurtosis?.value).toBe(-0.02);
+    expect(result.accelerometer_y_axis_rms?.value).toBe(0.019);
+    expect(result.accelerometer_y_axis_peak?.value).toBe(0.026);
+    expect(result.accelerometer_y_axis_oavelocity?.value).toBe(0.31);
+    expect(result.accelerometer_y_axis_skewness?.value).toBe(0.29);
+    expect(result.accelerometer_y_axis_deviation?.value).toBe(0.02);
+    expect(result.accelerometer_y_axis_peak_to_peak_displacement?.value).toBe(9);
+
+    expect(result.accelerometer_x_axis_senevent?.value).toBe(0);
+    expect(result.accelerometer_x_axis_crestfactor?.value).toBe(5.19);
+    expect(result.accelerometer_x_axis_kurtosis?.value).toBe(0.12);
+    expect(result.accelerometer_x_axis_rms?.value).toBe(0.015);
+    expect(result.accelerometer_x_axis_peak?.value).toBe(0.021);
+    expect(result.accelerometer_x_axis_oavelocity?.value).toBe(0.16);
+    expect(result.accelerometer_x_axis_skewness?.value).toBe(0.27);
+    expect(result.accelerometer_x_axis_deviation?.value).toBe(0.02);
+    expect(result.accelerometer_x_axis_peak_to_peak_displacement?.value).toBe(4);
+
+    expect(result.accelerometer_z_axis_senevent?.value).toBe(0);
+    expect(result.accelerometer_z_axis_crestfactor?.value).toBe(3.95);
+    expect(result.accelerometer_z_axis_kurtosis?.value).toBe(-0.12);
+    expect(result.accelerometer_z_axis_rms?.value).toBe(0.019);
+    expect(result.accelerometer_z_axis_peak?.value).toBe(0.026);
+    expect(result.accelerometer_z_axis_oavelocity?.value).toBe(0.26);
+    expect(result.accelerometer_z_axis_skewness?.value).toBe(-0.05);
+    expect(result.accelerometer_z_axis_deviation?.value).toBe(0.02);
+    expect(result.accelerometer_z_axis_peak_to_peak_displacement?.value).toBe(7);
+
+    expect(result.temphumi_senval?.value).toBe(30.75);
+    expect(result.temphumi_event?.value).toBe(0);
+    expect(result.temphumi_status?.value).toBe(0);
+    expect(result.temphumi_range?.value).toBe(0);
+
+    expect(result.accelerometer_time?.value).toBe(1711369231);
+    expect(result.accelerometer_logindex?.value).toBe(0);
+    expect(result.device_batteryvolt?.value).toBe(0);
+    expect(result.device_powersrc?.value).toBe(1);
+    expect(result.device_events?.value).toBe(0);
+  });
+});
+
+describe("Shall not be parsed", () => {
+  let payload = [{ variable: "shallnotpass", value: "04096113950292" }];
+  payload = decoderRun(file_path, { payload });
+
+  test("Output Result", () => {
+    expect(Array.isArray(payload)).toBe(true);
+  });
+
+  test("Not parsed Result", () => {
+    expect(payload).toEqual([{ variable: "shallnotpass", value: "04096113950292" }]);
+  });
+});