<template>
  <f7-page name="detect" :id="detectorName + '-detect-page'">
    <!-- Top Navbar -->
    <f7-navbar :sliding="false" :back-link="true" back-link-url="/" back-link-force>
      <f7-nav-title sliding>{{ regions[activeRegion] }}</f7-nav-title>
    </f7-navbar>
    <f7-block class="detect-grid">
      <div class="image-container">
        <canvas id="im-draw" ref="image_cvs" @click="structureClick" :style="`display: ${imageLoaded ? 'block' : 'none'}; flex: 1 1 0%; max-width: 100%; max-height: 100%; min-width: 0; min-height: 0; background-size: contain; background-position: center; background-repeat: no-repeat`" />
        <SvgIcon v-if="!imageView"  :icon="f7route.params.region" fill-color="var(--avn-theme-color)" @click="selectImage" />
      </div>
      <div v-if="(resultData && resultData.detections) || detecting" class="chip-results" style="grid-area: result-view; flex: 0 0 auto; align-self: center;">
        <f7-chip v-for="result in showResults.filter( r => { return r.aboveThreshold && r.isSearched && !r.isDeleted })"
          :class="(result.resultIndex == selectedChip) ? 'selected-chip' : ''"
          :text="result.label"
          media=" "
          :tooltip="result.confidence.toFixed(1)"
          deleteable
          @click="selectChip(result.resultIndex)"
          @delete="deleteChip(result.resultIndex)"
          :style="chipGradient(result.confidence)"
        />
        <span v-if="numResults == 0 && !detecting" style="height: var(--f7-chip-height); font-size: calc(var(--f7-chip-height) - 4px); font-weight: bolder; margin: 2px;">No results.</span>
        <f7-preloader v-if="detecting || modelLoading" size="32" style="color: var(--avn-theme-color);" />
      </div>
      <div v-if="showDetectSettings" class="detect-inputs" style="grid-area: detect-settings;">
        <f7-range class="level-slide-horz" :min="0" :max="100" :step="1" @range:change="onLevelChange" v-model:value="detectorLevel" type="range" style="flex: 1 1 100%"/>
        <f7-range class="level-slide-vert" vertical :min="0" :max="100" :step="1" @range:change="onLevelChange" v-model:value="detectorLevel" type="range" style="flex: 1 1 100%"/>
        <f7-button @click="() => detectPanel = !detectPanel" :panel-open="!detectPanel && `#${detectorName}-settings`" :panel-close="detectPanel && `#${detectorName}-settings`" style="flex: 0 1 20%">
          <SvgIcon icon="check_list"/>
        </f7-button>
        <f7-button @click="setData" style="flex: 0 1 20%">
          <SvgIcon icon="refresh_search"/>
        </f7-button>
      </div>
      <f7-segmented class="image-menu" raised>
        <f7-button popover-open="#region-popover">
          <RegionIcon :region="activeRegion" />
        </f7-button>
        <f7-button popover-open="#capture-popover">
          <SvgIcon icon="camera_add"/>
        </f7-button>
        <f7-button @click="() => showDetectSettings = !showDetectSettings" :class="(imageLoaded) ? '' : 'disabled'">
          <SvgIcon icon="visibility"/>
        </f7-button>
        <f7-button :class="(numResults && uploadDirty && viewedAll) ? '' : 'disabled'" @click="submitData">
          <SvgIcon :icon="(uploadUid) ? 'cloud_done' : 'cloud_upload'"/>
        </f7-button>
      </f7-segmented>
      <input type="file" ref="image_chooser" @change="getImage()" accept="image/*" capture="environment" style="display: none;"/>
    </f7-block>

    <f7-panel :id="detectorName + '-settings'" right cover :backdrop="false" :container-el="`#${detectorName}-detect-page`">
      <f7-page>
        <f7-navbar title="Detection Settings"></f7-navbar>
        <f7-list>
          <f7-list-button title="Close List" @click="() => detectPanel = false" :panel-close="`#${detectorName}-settings`"></f7-list-button>
          <f7-list-item checkbox checked checkbox-icon="end" title="All/none" @change="selectAll"></f7-list-item>
          <f7-list-item v-for="structure in detectorLabels" :key="structure.name" checkbox checkbox-icon="end" v-model:checked="structure.detect" :title="structure.name"></f7-list-item>
        </f7-list>
      </f7-page>
    </f7-panel>

    <f7-popover id="region-popover" class="popover-button-menu">
      <f7-segmented raised class="segment-button-menu">
        <f7-button :class="(getRegions.includes('thorax')) ? '' : ' disabled'" style="height: auto; width: auto;" href="/detect/thorax/" popover-close="#region-popover">
          <RegionIcon :region="0" />
        </f7-button>
        <f7-button :class="(getRegions.includes('abdomen')) ? '' : ' disabled'" style="height: auto; width: auto;" href="/detect/abdomen/" popover-close="#region-popover">
          <RegionIcon :region="1" />
        </f7-button>
        <f7-button :class="(getRegions.includes('limbs')) ? '' : ' disabled'" style="height: auto; width: auto;" href="/detect/limbs/" popover-close="#region-popover">
          <RegionIcon :region="2" />
        </f7-button>
        <f7-button :class="(getRegions.includes('head')) ? '' : ' disabled'" style="height: auto; width: auto;" href="/detect/head/" popover-close="#region-popover">
          <RegionIcon :region="3" />
        </f7-button>
      </f7-segmented>
    </f7-popover>

    <f7-popover id="capture-popover" class="popover-button-menu">
      <f7-segmented raised class="segment-button-menu">
        <f7-button style="height: auto; width: auto;" popover-close="#capture-popover" @click="selectImage('camera')">
          <SvgIcon icon="photo_camera" />
        </f7-button>
        <f7-button style="height: auto; width: auto;" popover-close="#capture-popover" @click="selectImage('file')">
          <SvgIcon icon="photo_library" />
        </f7-button>
        <f7-button style="height: auto; width: auto;" popover-close="#capture-popover" class="disabled" @click="videoStream">
          <SvgIcon icon="videocam"/>
        </f7-button>
      </f7-segmented>
    </f7-popover>

  </f7-page>
</template>

<style>
  .detect-grid {
    display: grid;
    grid-template-columns: 1fr;
    grid-template-rows: 1fr 56px auto min-content;
    grid-template-areas: 
      "image-view"
      "result-view"
      "detect-settings"
      "menu-view";
    justify-items: center;
    height: calc(100% - var(--f7-navbar-height) - var(--f7-safe-area-top) - var(--f7-safe-area-bottom));
    max-height: calc(100% - var(--f7-navbar-height) - var(--f7-safe-area-top) - var(--f7-safe-area-bottom));
  }

  .image-container {
    grid-area: image-view;
    width: 100%;
    height: 100%;
    min-width: 0;
    min-height: 0;
    position: relative;
    display: flex;
    align-self: stretch;
  }

  .popover-button-menu {
    max-width: 90vw;
    max-height: 90vh;
    width: auto;
  }
  
  .segment-button-menu {
    flex-wrap: nowrap;
    flex-direction: column;
    max-height: 100%;
    min-height: 0px;
  }

  .chip-media {
    background-color: var(--chip-media-background) !important;
  }

  .chip-results {
    display: flex;
    flex-wrap: wrap;
    gap: 5px;
    padding: 10px;
    --f7-chip-border-radius: 16px;
    --f7-chip-media-size: 32px;
    --f7-chip-font-weight: normal;
    overflow-y: scroll;
    max-height: 100%;
  }

  .chip-results .chip {
    padding-left: 8px;
  }

  .selected-chip {
    font-weight: 500;
    box-shadow: 4px 4px 1px var(--avn-theme-color);
    transform: translate(-2px, -2px);
  }

  .detect-inputs {
    display: flex;
    align-items: center;
    margin: 5px;
    width: 100%;
    max-width: 400px;
    min-width: 192px;
  }

  .level-slide-vert {
    display: none;
  }

  .image-menu {
    grid-area: menu-view;
    margin: 5px;
    /*width: 90%;*/
    max-width: 400px;
    min-width: 192px;
  }

  .image-menu .button {
    aspect-ratio: 1;
    height: auto;
    padding: 5px;
    flex: 1 1 0%;
  }

  .image-menu > .button > svg {
    aspect-ratio: 1;
    height: auto;
    width: 100%;
  }

  .segment-button-menu .button {
    padding: 8px;
    aspect-ratio: 1;
    width: auto;
    flex: 1 1 0%;
    max-height: 100px;
    max-width: 100px;
  }

  @media (max-height: 450px) and (orientation: landscape) {
    .detect-grid {
      grid-template-columns: minmax(0,1fr) minmax(56px,max-content) auto auto;
      grid-template-rows: calc(100vh - var(--f7-navbar-height) - var(--f7-safe-area-top) - var(--f7-safe-area-bottom) - 64px);
      grid-template-areas: 
        "image-view result-view detect-settings menu-view";
      justify-items: stretch;
      align-items: stretch;
      height: calc(100% - var(--f7-navbar-height) - var(--f7-safe-area-top) - var(--f7-safe-area-bottom));
      max-height: calc(100% - var(--f7-navbar-height) - var(--f7-safe-area-top) - var(--f7-safe-area-bottom));
      position: relative;
    }

    .chip-results {
      flex-direction: column;
      max-height: 100%;
      justify-self: start;
      flex-wrap: nowrap;
    }
    
    .detect-inputs {
      flex-direction: column;
      min-width: 0;
      max-width: 72px;
    }

    .level-slide-horz {
      display: none;
    }

    .level-slide-vert {
      display: block;
    }


    .image-container {
      flex-direction: column;
    }

    .image-menu {
      flex-direction: column;
      aspect-ratio: .25;
      width: auto;
      min-width: 0;
      height: 100%;
    }

    .image-menu .button {
      aspect-ratio: 1;
      width: auto;
      height: 100%;
      flex: 1 1 0%;
      border-bottom: 1px solid var(--f7-segmented-raised-divider-color);
      border-bottom-left-radius: 0px !important;
    }
  
    .segment-button-menu {
      flex-direction: row;
      max-height: 100%;
      min-height: 0px;
    }

    .segment-button-menu .button {
      height: auto;
      flex: 1 1 0%;
      max-height: 100px;
      max-width: 100px;
    }

    .button > svg {
      width: 100%;
      height: auto;
    }
  }
</style>

<script>
  import { f7 } from 'framework7-vue'

  import store from '../js/store'
  import RegionIcon from '../components/region-icon.vue'
  import SvgIcon from '../components/svg-icon.vue'

  import submitMixin from './submit-mixin'
  import detectMixin from './local-detect'

  import thoraxClasses from '../models/thorax_tfwm/classes.json'

  export default {
    mixins: [submitMixin, detectMixin],
    props: {
      f7route: Object,
    },
    components: {
      RegionIcon,
      SvgIcon
    },
    data () {
      return {
        regions: ['Thorax','Abdomen/Pelvis','Limbs','Head and Neck'],
        resultData: {},
        selectedChip: -1,
        activeRegion: 4,
        classesList: [],
        imageLoaded: false,
        imageView: null,
        imageLoadMode: "environment",
        detecting: false,
        detectPanel: false,
        showDetectSettings: false,
        detectorName: '',
        detectorLevel: 50,
        detectorLabels: [],
        serverSettings: {},
        isCordova: !!window.cordova,
        uploadUid: null,
        uploadDirty: false,
        modelLocation: '',
        modelLoading: false
      }
    },
    setup() {
      return store()
    },
    created () {
      switch (this.f7route.params.region) {
        case 'thorax':
          this.activeRegion = 0
          this.detectorName = 'thorax'
          this.classesList = thoraxClasses
          this.modelLocation = '../models/thorax_tfwm/model.json'
          this.modelLocationCordova = 'https://localhost/models/thorax_tfwm/model.json'
          break;
        case 'abdomen':
          this.activeRegion = 1
          this.detectorName = 'combined'
            break;
        case 'limbs':
          this.activeRegion = 2
          this.detectorName = 'defaultNew'
          break;
        case 'head':
          this.activeRegion = 3
          break;
      }
      var loadServerSettings = localStorage.getItem('serverSettings')
      if (loadServerSettings) this.serverSettings = JSON.parse(loadServerSettings)
      var self = this
      if (this.serverSettings && this.serverSettings.use) {
        var modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detectors`
        var xhr = new XMLHttpRequest()
        xhr.open("GET", modelURL)
        xhr.setRequestHeader('Content-Type', 'application/json')
        xhr.timeout = 10000
        xhr.ontimeout = this.remoteTimeout
        xhr.onload = function () {
          if (this.status !== 200) {
            console.log(xhr.response)
            const errorResponse = JSON.parse(xhr.response)
            f7.dialog.alert(`ALVINN has encountered an error: ${errorResponse.error}`)
            return;
          }
          var detectors = JSON.parse(xhr.response).detectors
          var findLabel = detectors
            .find( d => { return d.name == self.detectorName } )?.labels
            .filter( l => { return l != "" } ).sort()
            .map( l => { return {'name': l, 'detect': true} } )
          self.detectorLabels = findLabel || []
        }
        
        xhr.send()
      } else {
        self.modelLoading = true
        self.detectorLabels = self.classesList.map( l => { return {'name': l, 'detect': true} } )
        self.loadModel(self.isCordova ? self.modelLocationCordova : self.modelLocation).then(() => {
          self.modelLoading = false
        }).catch((e) => {
          console.log(e.message)
          f7.dialog.alert(`ALVINN AI model error: ${e.message}`)
        })
      }
      window.onresize = (e) => { this.selectChip('redraw') }
    },
    computed: {
      showResults () {
        var filteredResults = this.resultData.detections
        if (!filteredResults) return []

        var allSelect = this.detectorLabels.every( s => { return s.detect } )
        var selectedLabels = this.detectorLabels
            .filter( l => { return l.detect })
            .map( l => { return l.name })
        filteredResults.forEach( (d, i) => {
          filteredResults[i].resultIndex = i
          filteredResults[i].aboveThreshold = d.confidence >= this.detectorLevel
          filteredResults[i].isSearched = allSelect || selectedLabels.includes(d.label)
        })

        if (!filteredResults.some( s => s.resultIndex == this.selectedChip && s.aboveThreshold && s.isSearched && !s.isDeleted)) {
          this.selectChip(this.selectedChip)
        }
        return filteredResults
      },
      numResults () {
        return this.showResults.filter( r => { return r.aboveThreshold && r.isSearched && !r.isDeleted }).length
      },
      viewedAll () {
        if (this.resultData && this.resultData.detections) {
          return this.resultData.detections
            .filter( s => { return s.confidence >= this.detectorLevel})
            .every( s => { return s.beenViewed })
        } else {
          return false
        }
      }
    },
    methods: {
      chipGradient (confVal) {
        return `--chip-media-background: hsl(${confVal / 100 * 120}deg 100% 50%)`
      },
      setData () {
        var self = this
        if (this.serverSettings && this.serverSettings.use) {
          var modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detect`
          var xhr = new XMLHttpRequest()
          xhr.open("POST", modelURL)
          xhr.timeout = 10000
          xhr.ontimeout = this.remoteTimeout
          xhr.setRequestHeader('Content-Type', 'application/json')
          xhr.onload = function () {
            self.detecting = false
            if (this.status !== 200) {
              console.log(xhr.response)
              const errorResponse = JSON.parse(xhr.response)
              f7.dialog.alert(`ALVINN has encountered an error: ${errorResponse.error}`)
              return;
            }
            self.resultData = JSON.parse(xhr.response)
            self.uploadDirty = true
          }
          
          var doodsData = {
            "detector_name": this.detectorName,
            "detect": {
              "*": 1
            },
            "data": this.imageView.src.split(',')[1]
          }

          xhr.send(JSON.stringify(doodsData))
        } else {
          this.localDetect(this.imageView).then(dets => {
            self.detecting = false
            self.resultData = dets
            self.uploadDirty = true
          }).catch((e) => {
          console.log(e.message)
          f7.dialog.alert(`ALVINN structure finding error: ${e.message}`)
        })
        }
      },
      remoteTimeout () {
        this.detecting = false
        f7.dialog.alert('No connection to remote ALVINN instance.  Please check app settings.')
      },
      selectAll (ev) {
        if (ev.target.checked) {
          this.detectorLabels.forEach( s => s.detect = true )
        } else {
          this.detectorLabels.forEach( s => s.detect = false )
        }
      },
      selectImage (mode) {
        this.imageLoadMode = mode
        if (mode == "camera") {
          this.$refs.image_chooser.setAttribute("capture","environment")
        } else {
          this.$refs.image_chooser.removeAttribute("capture")
        }
        if (this.isCordova && mode == "camera") {
            navigator.camera.getPicture(this.getImage, this.onFail, { quality: 50, destinationType: Camera.DestinationType.DATA_URL, correctOrientation: true });
        } else {
          var loadResult = this.$refs.image_chooser.click()
        }
      },
      onFail (message) {
        alert(`Camera fail: ${message}`)
      },
      selectChip ( iChip ) {
        const [imCanvas, imageCtx] = this.resetView()

        if (this.selectedChip == iChip) {
          this.selectedChip = -1
          return
        }

        if (iChip == 'redraw') {
          if (this.selectedChip == -1) return
          iChip = this.selectedChip
        }

        const boxCoords = this.box2cvs(this.resultData.detections[iChip])[0]

        var boxLeft = boxCoords.cvsLeft
        var boxTop = boxCoords.cvsTop
        var boxWidth = boxCoords.cvsRight - boxCoords.cvsLeft
        var boxHeight = boxCoords.cvsBottom - boxCoords.cvsTop
        imageCtx.strokeRect(boxLeft,boxTop,boxWidth,boxHeight)
        this.selectedChip = iChip
        this.resultData.detections[iChip].beenViewed = true
      },
      deleteChip ( iChip ) {
        f7.dialog.confirm(`${this.resultData.detections[iChip].label} is identified with ${this.resultData.detections[iChip].confidence.toFixed(1)}% confidence. Are you sure you want to delete it?`, () => {
          this.resetView()
          this.resultData.detections.splice(iChip, 1)
          this.selectedChip = -1
          this.uploadDirty = true
        });
      },
      resetView () {
        const imCanvas = this.$refs.image_cvs
        const imageCtx = imCanvas.getContext("2d")
        imCanvas.width = imCanvas.clientWidth
        imCanvas.height = imCanvas.clientHeight
        imageCtx.clearRect(0,0,imCanvas.width,imCanvas.height)
        imageCtx.strokeStyle = 'yellow'
        imageCtx.lineWidth = 3
        return [imCanvas, imageCtx]
      },
      getImage (searchImage) {
        let loadImage =new Promise(resolve => {
          if (this.isCordova && this.imageLoadMode == "camera") {
            resolve('data:image/jpg;base64,' + searchImage)
          } else {
            const searchImage = this.$refs.image_chooser.files[0]
            var reader = new FileReader()
            reader.addEventListener("loadend", () => {
              this.detecting = true
              resolve(reader.result)
            })
            reader.readAsDataURL(searchImage)
          }
        })
        loadImage.then((imgData) => {
          this.imageLoaded = true
          this.resultData = {}
          this.imageView = new Image()
          this.imageView.src = imgData
          return(this.imageView.decode())
        }).then( () => {
          const [imCanvas, _]  = this.resetView()
          imCanvas.style['background-image'] = `url(${this.imageView.src})`
          /******
           * setTimeout is not a good solution,
           * but it's the only way I can find to
           * not cut off drawing of of the progress
           * spinner
           ******/
          setTimeout(() => {
            this.setData()
          }, 250)
        }).catch((e) => {
          console.log(e.message)
          f7.dialog.alert(`Error loading image: ${e.message}`)
        })
      },
      videoStream() {
        //TODO
        return null
      },
      async submitData () {
        var uploadData = this.showResults
          .filter( d => { return d.aboveThreshold && d.isSearched && !d.isDeleted })
          .map( r => { return {"top": r.top, "left": r.left, "bottom": r.bottom, "right": r.right, "label": r.label}})
        this.uploadUid = await this.uploadData(this.imageView.src.split(',')[1],uploadData,this.uploadUid)
        if (this.uploadUid) { this.uploadDirty = false }
      },
      onLevelChange(value) {
        this.detectorLevel = value
      },
      structureClick(e) {
        const boxCoords = this.box2cvs(this.showResults)
        var findBox = boxCoords.findIndex( (r, i) => { return r.cvsLeft <= e.offsetX &&
            r.cvsRight >= e.offsetX &&
            r.cvsTop <= e.offsetY &&
            r.cvsBottom >= e.offsetY &&
            this.resultData.detections[i].resultIndex > this.selectedChip &&
            this.resultData.detections[i].aboveThreshold &&
            this.resultData.detections[i].isSearched &&
            !this.resultData.detections[i].isDeleted
        })
        this.selectChip(findBox >= 0 ? this.resultData.detections[findBox].resultIndex : this.selectedChip)
      },
      box2cvs(boxInput) {
        if (!boxInput) return []
        const boxList = boxInput.length ? boxInput : [boxInput]
        const [imCanvas, imageCtx] = this.resetView()
        var imgWidth
        var imgHeight
        const imgAspect = this.imageView.width / this.imageView.height
        const rendAspect = imCanvas.width / imCanvas.height
        if (imgAspect >= rendAspect) {
          imgWidth = imCanvas.width
          imgHeight = imCanvas.width / imgAspect
        } else {
          imgWidth = imCanvas.height * imgAspect
          imgHeight = imCanvas.height
        }
        const cvsCoords = boxList.map( (d, i) => {
          return {
            "cvsLeft": (imCanvas.width - imgWidth) / 2 + d.left * imgWidth,
            "cvsRight": (imCanvas.width - imgWidth) / 2 + d.right * imgWidth,
            "cvsTop": (imCanvas.height - imgHeight) / 2 + d.top * imgHeight,
            "cvsBottom": (imCanvas.height - imgHeight) / 2 + d.bottom * imgHeight
          }
        })
        return cvsCoords
      }
    }
  }
</script>