From bb7efd0af0db8183b5b3f96ac0de1bfd9cd249ae Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Sun, 13 Jan 2019 00:04:35 +0100
Subject: face analysis frontend scaffolding

---
 client/faceAnalysis/faceAnalysis.result.js | 127 +++++++++++++++++++++++++++++
 1 file changed, 127 insertions(+)
 create mode 100644 client/faceAnalysis/faceAnalysis.result.js

(limited to 'client/faceAnalysis/faceAnalysis.result.js')

diff --git a/client/faceAnalysis/faceAnalysis.result.js b/client/faceAnalysis/faceAnalysis.result.js
new file mode 100644
index 00000000..b825a0cb
--- /dev/null
+++ b/client/faceAnalysis/faceAnalysis.result.js
@@ -0,0 +1,127 @@
+import React, { Component } from 'react'
+import { bindActionCreators } from 'redux'
+import { connect } from 'react-redux'
+import { courtesyS } from '../util'
+
+import * as actions from './faceAnalysis.actions'
+import { Loader } from '../common'
+
+const errors = {
+  bbox: (
+    <div>
+      <h2>No face found</h2>
+      {"Sorry, we didn't detect a face in that image. "}
+      {"Please choose an image where the face is large and clear."}
+    </div>
+  ),
+  nomatch: (
+    <div>
+      <h2>{"You're clear"}</h2>
+      {"No images in this dataset match your face.  We show only matches above 70% probability."}
+    </div>
+  ),
+  error: (
+    <div>
+      <h2>{"No matches found"}</h2>
+      {"Sorry, an error occured."}
+    </div>
+  ),
+  bad_dataset: (
+    <div>
+      <h2>{""}</h2>
+      {""}
+    </div>
+  ),
+  not_an_image: (
+    <div>
+      <h2>{"Not an image"}</h2>
+      {"Sorry, the file you uploaded was not recognized as an image. Please upload a JPG or PNG image and try again."}
+    </div>
+  ),
+}
+
+class FaceAnalysisResult extends Component {
+  render() {
+    const { dataset } = this.props.payload
+    const { query, distances, results, loading, error } = this.props.result
+    console.log(this.props.result)
+    if (loading) {
+      return (
+        <div className='result'>
+          <div>
+            <Loader /><br />
+            <h2>Searching...</h2>
+          </div>
+        </div>
+      )
+    }
+    if (error) {
+      // console.log(error)
+      let errorMessage = errors[error] || errors.error
+      return (
+        <div className='result'>{errorMessage}</div>
+      )
+    }
+    if (!results) {
+      return <div className='result'></div>
+    }
+    if (!results.length) {
+      return (
+        <div className='result'>{errors.nomatch}</div>
+      )
+    }
+    const els = results.map((result, i) => {
+      const distance = distances[i]
+      const { uuid } = result.file_record
+      const { x, y, w, h } = result.face_roi
+      const { fullname, gender, description, images } = result.identity
+      const bbox = {
+        left: (100 * x) + '%',
+        top: (100 * y) + '%',
+        width: (100 * w) + '%',
+        height: (100 * h) + '%',
+      }
+      // console.log(bbox)
+      return (
+        <div key={i}>
+          <div className='img'>
+            <img src={'https://megapixels.nyc3.digitaloceanspaces.com/v1/media/' + dataset + '/' + uuid + '.jpg'} />
+            <div className='bbox' style={bbox} />
+          </div>
+          {fullname} {'('}{gender}{')'}<br/>
+          {description}<br/>
+          {courtesyS(images, 'image')}{' in dataset'}<br />
+          {Math.round((1 - distance) * 100)}{'% match'}
+        </div>
+      )
+    })
+
+    return (
+      <div className='result'>
+        <div className="about">
+          <h2>Did we find you?</h2>
+          {'These faces matched images in the '}
+          <b><tt>{dataset}</tt></b>
+          {' dataset with over 70% probability.'}
+          <br />
+          <small>Query took {query.timing.toFixed(2)} seconds</small>
+        </div>
+        <div className='results'>
+          {els}
+        </div>
+      </div>
+    )
+  }
+}
+
+const mapStateToProps = state => ({
+  query: state.faceAnalysis.query,
+  result: state.faceAnalysis.result,
+  options: state.faceAnalysis.options,
+})
+
+const mapDispatchToProps = dispatch => ({
+  actions: bindActionCreators({ ...actions }, dispatch),
+})
+
+export default connect(mapStateToProps, mapDispatchToProps)(FaceAnalysisResult)
-- 
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