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{ defineComponent as _defineComponent } from 'vue'\nimport { unref as _unref, mergeProps as _mergeProps, openBlock as _openBlock, createBlock as _createBlock } from \"vue\"\n\nimport { PropType, computed, ComputedRef } from \"vue\";\nimport { Chart, registerables } from 'chart.js';\nimport { ScatterChart, useScatterChart } from 'vue-chart-3';\nimport { ChartPointType } from \"@/types/chart_point\";\nimport { ProfileType } from \"@/types/profile\";\nimport { PointsType } from \"@/types/profile\";\n\n\nexport default /*#__PURE__*/_defineComponent({\n  props: {\n  profile: { type: Object as PropType<ProfileType | null>, required: true },\n},\n  setup(__props) {\n\nconst props = __props\n\n\n\nconst mapCurve = (values: PointsType | undefined): ChartPointType[] => {\n  if (values == null) return []\n  return values.y.map((value: number, index: number) => {\n    return {\"x\": values.x[index], \"y\": value}\n  })\n}\n\nconst siloDimensions: ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[0].points))\nconst sensorPosition: ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[1].points))\nconst filteredCurve:  ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[2].points))\nconst projectedCurve: ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[3].points))\nconst correctedCurve: ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[4].points))\nconst adjustedCurve: ComputedRef<ChartPointType[]> = computed(() => mapCurve(props.profile?.curves[5]?.points));\n\nconst chartData = computed(() => {\n  let datasets = [\n    {\n      label: \"Sensor\",\n      data: sensorPosition.value,\n      backgroundColor: '#e91916',\n      borderColor: '#e91916',\n      showLine: true,\n      pointRadius: 5,\n    },\n    {\n      label: \"Filtered Curve\",\n      data: filteredCurve.value,\n      backgroundColor: '#ffb25e',\n      borderColor: '#ffb25e',\n      showLine: true,\n    },\n    {\n      label: \"Corrected Curve\",\n      data: correctedCurve.value,\n      backgroundColor: '#78b843',\n      borderColor: '#78b843',\n      showLine: true,\n    },\n    {\n      label: \"Projected Curve\",\n      data: projectedCurve.value,\n      backgroundColor: '#6e6e6e',\n      borderColor: '#6e6e6e',\n      showLine: true,\n      pointRadius: 1,\n    },\n    {\n      label: \"Silo\",\n      data: siloDimensions.value,\n      backgroundColor: '#404040',\n      borderColor: '#404040',\n      showLine: true,\n      pointRadius: 1,\n    },\n  ];\n  if (adjustedCurve.value && adjustedCurve.value.length > 0) {\n    datasets.push({\n      label: \"Adjusted Curve\",\n      data: adjustedCurve.value,\n      backgroundColor: '#FF69B4',\n      borderColor: '#FF69B4',\n      showLine: true,\n      pointRadius: 3,\n    });\n  }\n  return { datasets };\n});\n\nChart.register(...registerables);\nconst { scatterChartProps } = useScatterChart({\n  chartData,\n  options: {\n    responsive: true,\n    maintainAspectRatio: false,\n    scales: {\n      x: {\n        min: (() => sensorPosition.value ? (sensorPosition.value[0].y + 2)/-2  : null),\n        max: (() => sensorPosition.value ? (sensorPosition.value[0].y + 2)/2   : null),\n      },\n      y: {\n        min: -1,\n        max: (() => sensorPosition.value ? sensorPosition.value[0].y + 1 : null),\n      },\n    },\n    plugins: {\n      legend: {\n        display: true,\n        labels: {\n          boxWidth: 15,\n        }\n      }\n    }\n  },\n});\n\nreturn (_ctx: any,_cache: any) => {\n  return (_openBlock(), _createBlock(_unref(ScatterChart), _mergeProps({\n    id: \"chart\",\n    min: \"-5\"\n  }, _unref(scatterChartProps)), null, 16))\n}\n}\n\n})","import script from \"./FeedProfileChart.vue?vue&type=script&lang=ts&setup=true\"\nexport * from \"./FeedProfileChart.vue?vue&type=script&lang=ts&setup=true\"\n\nconst __exports__ = script;\n\nexport default __exports__","export * from \"-!../../node_modules/mini-css-extract-plugin/dist/loader.js??ref--7-oneOf-1-0!../../node_modules/css-loader/dist/cjs.js??ref--7-oneOf-1-1!../../node_modules/vue-loader-v16/dist/stylePostLoader.js!../../node_modules/postcss-loader/src/index.js??ref--7-oneOf-1-2!../../node_modules/cache-loader/dist/cjs.js??ref--1-0!../../node_modules/vue-loader-v16/dist/index.js??ref--1-1!./RegisterSmartFeed.vue?vue&type=style&index=0&id=2605c96c&scoped=true&lang=css\"","import defineProperty from \"./defineProperty.js\";\n\nfunction ownKeys(object, enumerableOnly) {\n  var keys = Object.keys(object);\n\n  if (Object.getOwnPropertySymbols) {\n    var symbols = Object.getOwnPropertySymbols(object);\n    enumerableOnly && (symbols = symbols.filter(function (sym) {\n      return Object.getOwnPropertyDescriptor(object, sym).enumerable;\n    })), keys.push.apply(keys, symbols);\n  }\n\n  return keys;\n}\n\nexport default function _objectSpread2(target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = null != arguments[i] ? arguments[i] : {};\n    i % 2 ? ownKeys(Object(source), !0).forEach(function (key) {\n      defineProperty(target, key, source[key]);\n    }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)) : ownKeys(Object(source)).forEach(function (key) {\n      Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));\n    });\n  }\n\n  return target;\n}","import { defineStore } from \"pinia\";\nimport { useMainStore } from '@/store/main';\nimport { API_URL } from \"@/utils/urls\";\nimport { FoodType } from \"@/types/food\";\n\nconst MAIN_STORE = useMainStore()\n\n\nexport const useRegistrationStore = defineStore(\"registrationStore\", {\n  state: () => ({\n    foods: null as FoodType[] | null,\n  }),\n  actions: {\n    async getSiloProfile(pk: any): Promise<void> {\n      const siloProfile = await MAIN_STORE.getFromAPI(`${API_URL}/silo_profiles/${pk}`)\n      return siloProfile\n    },\n    async getSiloAcquisition(pk: any): Promise<void> {\n      const siloProfile = await MAIN_STORE.getFromAPI(`${API_URL}/smartfeed_v0_acquisitions/${pk}`)\n      return siloProfile\n    },\n    async fetchFoods(): Promise<void> {\n      let data = await MAIN_STORE.getFromAPI(`${API_URL}/foods/`);\n      this.foods = data.results\n      while (data?.next != null) {\n        data = await MAIN_STORE.getFromAPI(data.next);\n        if (this.foods == null) return;\n        this.foods.concat(data.results)\n      }\n    },\n    async registerUser(data: any): Promise<void> {\n      const user_posted = await MAIN_STORE.postOnAPI(`${API_URL}/users/create_user/`, data)\n    \n      const employee = {\n        user: user_posted.pk,\n        phone_number: \"\",\n        company: parseInt(data.company),\n        role: data.role,\n        associated_farm: data.associated_farm === \"null\" ? null : parseInt(data.associated_farm)\n      }\n      await MAIN_STORE.postOnAPI(`${API_URL}/employees/`, employee)\n    },\n    async registerCompany(data: any): Promise<void> {\n      const company = {name: data.name, farms: [], foods: []}\n      const company_posted = await MAIN_STORE.postOnAPI(`${API_URL}/companies/`, company)\n\n      const reference_weight_curve = {\n        name: `Curva referência ${company_posted.name} (fake)`,\n        company: company_posted.pk,\n        curve: {},\n      }\n      await MAIN_STORE.postOnAPI(`${API_URL}/reference_weight_curves/`, reference_weight_curve)\n    },\n    async registerSilo(silo_data: any): Promise<void> {\n      await MAIN_STORE.postOnAPI(`${API_URL}/silos/`, silo_data)\n    },\n  },\n  getters: {\n    getFoods: state => state.foods,\n  },\n});\n","// utils/dataProcessing.ts\nimport { AcquisitionDataPoint, ProcessedDataPoint } from '@/types/feed_processing_datatypes';\n\n// Interface for additional conversion parameters\ninterface CartesianConversionParams {\n  sensorXOffset: number;\n  angleOffset: number;\n  pivotingRadius: number;\n  sensorHeight: number;\n}\n\ninterface RawData {\n  distance: number[];\n  signal_strength: number[];\n  temperature: number[];\n  imu_angle_x: number[];\n  imu_angle_y: number[];\n  imu_angle_z: number[];\n  servo_angle: number[];\n}\n\n\nexport const restructureAcquisitionData = (rawData: RawData): AcquisitionDataPoint[] => {\n  if (rawData && Array.isArray(rawData.distance)) {\n    return rawData.distance.map((_: number, index: number) => ({\n      distance: rawData.distance[index],\n      signal_strength: rawData.signal_strength[index],\n      temperature: rawData.temperature[index],\n      imu_angle_x: rawData.imu_angle_x[index],\n      imu_angle_y: rawData.imu_angle_y[index],\n      imu_angle_z: rawData.imu_angle_z[index],\n      servo_angle: rawData.servo_angle[index],\n    }));\n  } else {\n    console.error(\"Raw data is not in the expected format:\", rawData);\n    return [];\n  }\n};\n\n// Process acquisition data and apply IMU corrections\nexport const processAcquisitionData = (\n  acquisitionData: AcquisitionDataPoint[],\n  imuAngularCorrection: number,\n  imuAngleOffset: number\n): AcquisitionDataPoint[] => {\n  return acquisitionData.map(dataPoint => ({\n    ...dataPoint,\n    imu_angle_x: (dataPoint.imu_angle_x * imuAngularCorrection) + imuAngleOffset,\n    // Apply similar corrections to other IMU angles if needed\n  }));\n};\n\n// Convert polar coordinates to Cartesian coordinates\nexport const convertToCartesian = (\n  processedData: AcquisitionDataPoint[],\n  { sensorXOffset, angleOffset, pivotingRadius, sensorHeight }: CartesianConversionParams\n): ProcessedDataPoint[] => {\n  return processedData.map(dataPoint => {\n    const angleInRadians = (Math.PI / 180) * (dataPoint.imu_angle_x - angleOffset);\n    return {\n      ...dataPoint,\n      x: sensorXOffset + Math.sin(angleInRadians) * (dataPoint.distance + pivotingRadius),\n      y: sensorHeight - Math.cos(angleInRadians) * (dataPoint.distance + pivotingRadius),\n    };\n  });\n};\n\nexport const processAndConvertAcquisitionData = (\n  rawData: RawData,\n  imuAngularCorrection: number,\n  imuAngleOffset: number,\n  conversionParams: CartesianConversionParams\n): ProcessedDataPoint[] => {\n  const restructuredData = restructureAcquisitionData(rawData);\n  const processedData = processAcquisitionData(restructuredData, imuAngularCorrection, imuAngleOffset);\n  return convertToCartesian(processedData, conversionParams);\n};","import { defineComponent as _defineComponent } from 'vue'\nimport { createElementVNode as _createElementVNode, vModelText as _vModelText, withDirectives as _withDirectives, createVNode as _createVNode, openBlock as _openBlock, createElementBlock as _createElementBlock, createCommentVNode as _createCommentVNode, Fragment as _Fragment, pushScopeId as _pushScopeId, popScopeId as _popScopeId } from \"vue\"\n\nconst _withScopeId = n => (_pushScopeId(\"data-v-2605c96c\"),n=n(),_popScopeId(),n)\nconst _hoisted_1 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"h3\", null, \"SmartFeed Calibration\", -1))\nconst _hoisted_2 = { class: \"register-smartfeed-container\" }\nconst _hoisted_3 = { class: \"input-section\" }\nconst _hoisted_4 = { class: \"input-wrapper\" }\nconst _hoisted_5 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"label\", { for: \"siloProfilePk\" }, \"Silo Profile PK:\", -1))\nconst _hoisted_6 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"span\", { class: \"tooltip\" }, \"Unique identifier for the silo profile.\", -1))\nconst _hoisted_7 = { class: \"input-wrapper\" }\nconst _hoisted_8 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"label\", { for: \"imuAngularCorrection\" }, \"IMU Angular Correction:\", -1))\nconst _hoisted_9 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"span\", { class: \"tooltip\" }, \"Adjusts the IMU angular correction factor.\", -1))\nconst _hoisted_10 = { class: \"input-wrapper\" }\nconst _hoisted_11 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"label\", { for: \"imuAngleOffset\" }, \"IMU Angle Offset:\", -1))\nconst _hoisted_12 = /*#__PURE__*/ _withScopeId(() => /*#__PURE__*/_createElementVNode(\"span\", { class: \"tooltip\" }, \"Offsets the IMU angle for calibration.\", -1))\nconst _hoisted_13 = {\n  key: 0,\n  class: \"visualization-section\"\n}\nconst _hoisted_14 = {\n  key: 0,\n  class: \"chart-container\"\n}\nconst _hoisted_15 = {\n  key: 1,\n  class: \"loading-indicator\"\n}\n\nimport { ref, watch } from \"vue\";\nimport { useRegistrationStore } from \"@/store/registration\";\nimport FeedProfileChart from \"@/components/FeedProfileChart.vue\";\nimport {\n  processAndConvertAcquisitionData\n} from \"@/utils/feed_acquisition_utils\";\n\n\nexport default /*#__PURE__*/_defineComponent({\n  setup(__props) {\n\nconst isLoading = ref(false);\nconst registrationStore = useRegistrationStore();\nconst siloProfilePk = ref(\"\");\nconst profileData = ref(null);\nconst siloData = ref(null);\nconst acquisitionData = ref(null);\nconst imuAngularCorrection = ref(1); \nconst imuAngleOffset = ref(0); \nconst sensorXOffset = ref(0); \nconst sensorHeight = ref(0); \n\n// Constants\nconst angleOffset = 0; \nconst pivotingRadius = 0.02240; \n\n\nconst fetchSiloProfile = async () => {\n  isLoading.value = true;\n  try {\n    const profile = await registrationStore.getSiloProfile(siloProfilePk.value);\n    profileData.value = profile;\n\n    // Extract sensor position from the silo profile\n    const sensorPositionCurve = profile.curves.find(curve => curve.name === \"Sensor Position\");\n    if (sensorPositionCurve && sensorPositionCurve.points.x.length > 0 && sensorPositionCurve.points.y.length > 0) {\n      sensorXOffset.value = sensorPositionCurve.points.x[0];\n      sensorHeight.value = sensorPositionCurve.points.y[0];\n    }\n\n    acquisitionData.value = await registrationStore.getSiloAcquisition(profile.acquisition);\n\n    // Use the combined function to get the processed Cartesian data\n    siloData.value = processAndConvertAcquisitionData(\n      acquisitionData.value.sensor_acquisitions,\n      imuAngularCorrection.value,\n      imuAngleOffset.value,\n      {\n        sensorXOffset: sensorXOffset.value,\n        angleOffset: angleOffset,\n        pivotingRadius: pivotingRadius,\n        sensorHeight: sensorHeight.value\n      }\n    );\n    // Convert siloData to the same format as other curves\n    const adjustedCurvePoints = { x: [], y: [] };\n      siloData.value.forEach(point => {\n        adjustedCurvePoints.x.push(point.x);\n        adjustedCurvePoints.y.push(point.y);\n      });\n\n    // Update profileData to include the processed siloData as a new curve\n    if (profileData.value && profileData.value.curves) {\n      profileData.value = {\n        ...profileData.value,\n        curves: [...profileData.value.curves, { name: \"Adjusted Curve\", points: adjustedCurvePoints }]\n      };\n    }\n  } catch (error) {\n    console.error(\"Error fetching silo profile data:\", error);\n  }\n  isLoading.value = false;\n};\n\n\nconst updateVisualization = () => {\n  isLoading.value = true;\n  if (siloData.value && profileData.value) {\n    siloData.value = processAndConvertAcquisitionData(\n      acquisitionData.value.sensor_acquisitions,\n      imuAngularCorrection.value,\n      imuAngleOffset.value,\n      {\n        sensorXOffset: sensorXOffset.value,\n        angleOffset: angleOffset,\n        pivotingRadius: pivotingRadius,\n        sensorHeight: sensorHeight.value\n      }\n    );\n\n    // Convert siloData to the same format as other curves\n    const adjustedCurvePoints = { x: [], y: [] };\n    siloData.value.forEach(point => {\n      adjustedCurvePoints.x.push(point.x);\n      adjustedCurvePoints.y.push(point.y);\n    });\n\n    // Create a new profileData object with updated curves\n    const newProfileData = {\n      ...profileData.value,\n      curves: profileData.value.curves.map((curve, index) => \n        index === profileData.value.curves.length - 1 ? \n          { name: \"Adjusted Curve\", points: adjustedCurvePoints } : \n          curve\n      )\n    };\n\n    // Update profileData to trigger reactivity\n    profileData.value = newProfileData;\n  }\n  isLoading.value = false;\n};\n\nwatch(() => siloProfilePk.value, fetchSiloProfile);\nwatch(() => imuAngularCorrection.value, updateVisualization);\nwatch(() => imuAngleOffset.value, updateVisualization);\n\nreturn (_ctx: any,_cache: any) => {\n  return (_openBlock(), _createElementBlock(_Fragment, null, [\n    _hoisted_1,\n    _createElementVNode(\"div\", _hoisted_2, [\n      _createElementVNode(\"div\", _hoisted_3, [\n        _createElementVNode(\"div\", _hoisted_4, [\n          _hoisted_5,\n          _withDirectives(_createElementVNode(\"input\", {\n            \"onUpdate:modelValue\": _cache[0] || (_cache[0] = ($event: any) => ((siloProfilePk).value = $event)),\n            type: \"text\",\n            id: \"siloProfilePk\",\n            onChange: fetchSiloProfile,\n            required: \"\",\n            \"aria-label\": \"Enter Silo Profile PK\"\n          }, null, 544), [\n            [_vModelText, siloProfilePk.value]\n          ]),\n          _hoisted_6\n        ]),\n        _createElementVNode(\"div\", _hoisted_7, [\n          _hoisted_8,\n          _withDirectives(_createElementVNode(\"input\", {\n            \"onUpdate:modelValue\": _cache[1] || (_cache[1] = ($event: any) => ((imuAngularCorrection).value = $event)),\n            type: \"number\",\n            id: \"imuAngularCorrection\",\n            onChange: updateVisualization,\n            step: \"0.1\",\n            \"aria-label\": \"Adjust IMU Angular Correction\"\n          }, null, 544), [\n            [\n              _vModelText,\n              imuAngularCorrection.value,\n              void 0,\n              { number: true }\n            ]\n          ]),\n          _hoisted_9\n        ]),\n        _createElementVNode(\"div\", _hoisted_10, [\n          _hoisted_11,\n          _withDirectives(_createElementVNode(\"input\", {\n            \"onUpdate:modelValue\": _cache[2] || (_cache[2] = ($event: any) => ((imuAngleOffset).value = $event)),\n            type: \"number\",\n            id: \"imuAngleOffset\",\n            onChange: updateVisualization,\n            \"aria-label\": \"Adjust IMU Angle Offset\"\n          }, null, 544), [\n            [\n              _vModelText,\n              imuAngleOffset.value,\n              void 0,\n              { number: true }\n            ]\n          ]),\n          _hoisted_12\n        ])\n      ]),\n      (siloData.value)\n        ? (_openBlock(), _createElementBlock(\"div\", _hoisted_13, [\n            (siloData.value)\n              ? (_openBlock(), _createElementBlock(\"div\", _hoisted_14, [\n                  _createVNode(FeedProfileChart, { profile: profileData.value }, null, 8, [\"profile\"])\n                ]))\n              : _createCommentVNode(\"\", true),\n            (isLoading.value)\n              ? (_openBlock(), _createElementBlock(\"p\", _hoisted_15, \"Updating chart...\"))\n              : _createCommentVNode(\"\", true)\n          ]))\n        : _createCommentVNode(\"\", true)\n    ])\n  ], 64))\n}\n}\n\n})","import script from \"./RegisterSmartFeed.vue?vue&type=script&lang=ts&setup=true\"\nexport * from \"./RegisterSmartFeed.vue?vue&type=script&lang=ts&setup=true\"\n\nimport \"./RegisterSmartFeed.vue?vue&type=style&index=0&id=2605c96c&scoped=true&lang=css\"\n\nimport exportComponent from \"/home/runner/work/support-platform/support-platform/node_modules/vue-loader-v16/dist/exportHelper.js\"\nconst __exports__ = /*#__PURE__*/exportComponent(script, [['__scopeId',\"data-v-2605c96c\"]])\n\nexport default __exports__","export default function _defineProperty(obj, key, value) {\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n\n  return obj;\n}","var $ = require('../internals/export');\nvar toObject = require('../internals/to-object');\nvar nativeKeys = require('../internals/object-keys');\nvar fails = require('../internals/fails');\n\nvar FAILS_ON_PRIMITIVES = fails(function () { nativeKeys(1); });\n\n// `Object.keys` method\n// https://tc39.es/ecma262/#sec-object.keys\n$({ target: 'Object', stat: true, forced: FAILS_ON_PRIMITIVES }, {\n  keys: function keys(it) {\n    return nativeKeys(toObject(it));\n  }\n});\n","var $ = require('../internals/export');\nvar DESCRIPTORS = require('../internals/descriptors');\nvar ownKeys = require('../internals/own-keys');\nvar toIndexedObject = require('../internals/to-indexed-object');\nvar getOwnPropertyDescriptorModule = require('../internals/object-get-own-property-descriptor');\nvar createProperty = require('../internals/create-property');\n\n// `Object.getOwnPropertyDescriptors` method\n// https://tc39.es/ecma262/#sec-object.getownpropertydescriptors\n$({ target: 'Object', stat: true, sham: !DESCRIPTORS }, {\n  getOwnPropertyDescriptors: function getOwnPropertyDescriptors(object) {\n    var O = toIndexedObject(object);\n    var getOwnPropertyDescriptor = getOwnPropertyDescriptorModule.f;\n    var keys = ownKeys(O);\n    var result = {};\n    var index = 0;\n    var key, descriptor;\n    while (keys.length > index) {\n      descriptor = getOwnPropertyDescriptor(O, key = keys[index++]);\n      if (descriptor !== undefined) createProperty(result, key, descriptor);\n    }\n    return result;\n  }\n});\n","var $ = require('../internals/export');\nvar fails = require('../internals/fails');\nvar toIndexedObject = require('../internals/to-indexed-object');\nvar nativeGetOwnPropertyDescriptor = require('../internals/object-get-own-property-descriptor').f;\nvar DESCRIPTORS = require('../internals/descriptors');\n\nvar FAILS_ON_PRIMITIVES = fails(function () { nativeGetOwnPropertyDescriptor(1); });\nvar FORCED = !DESCRIPTORS || FAILS_ON_PRIMITIVES;\n\n// `Object.getOwnPropertyDescriptor` method\n// https://tc39.es/ecma262/#sec-object.getownpropertydescriptor\n$({ target: 'Object', stat: true, forced: FORCED, sham: !DESCRIPTORS }, {\n  getOwnPropertyDescriptor: function getOwnPropertyDescriptor(it, key) {\n    return nativeGetOwnPropertyDescriptor(toIndexedObject(it), key);\n  }\n});\n"],"sourceRoot":""}