Cybrosys Technologies
11 months ago
39 changed files with 7160 additions and 171 deletions
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.qr_video { |
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display: block; /* Initially visible */ |
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} |
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|
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.qr_video.hidden { |
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display: none; /* Will hide the QR scanner when the close button is clicked */ |
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} |
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|
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#close_qr_scanner { |
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cursor: pointer; |
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color: red; |
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font-weight: bold; |
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} |
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.qr_video_kiosk { |
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display: block; /* Initially visible */ |
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} |
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|
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.qr_video_kiosk.hidden { |
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display: none; /* Will hide the QR scanner when the close button is clicked */ |
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} |
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|
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#close_qr_scanner_kiosk { |
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cursor: pointer; |
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color: red; |
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font-weight: bold; |
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} |
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/** @odoo-module **/ |
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import { patch } from "@web/core/utils/patch"; |
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const KioskConfirm = require("hr_attendance.kiosk_confirm") |
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const session = require('web.session'); |
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var rpc = require('web.rpc'); |
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const MODEL_URL = '/face_recognized_attendance_login/static/src/js/weights'; |
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faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL); |
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faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL); |
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faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL); |
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faceapi.nets.tinyFaceDetector.load(MODEL_URL); |
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faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL); |
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faceapi.nets.faceExpressionNet.load(MODEL_URL); |
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faceapi.nets.ageGenderNet.load(MODEL_URL); |
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|
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patch(KioskConfirm.prototype,'face_recognized_attendance_login.kiosk',{ |
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events: { |
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"click .o_hr_attendance_back_button": function () { this.do_action(this.next_action, {clear_breadcrumbs: true}); }, |
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"click .o_hr_attendance_sign_in_out_icon": _.debounce(async function () { |
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await this.startWebcam(); |
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}, 200, true), |
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}, |
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// -------To start the camera-------
|
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async startWebcam() { |
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const video = this.el.querySelector('#video'); |
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try { |
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const video = this.el.querySelector('#video'); |
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if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { |
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throw new Error('getUserMedia is not supported in this browser.'); |
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} |
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const stream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false }); |
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video.srcObject = stream; |
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|
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video.onloadedmetadata = () => { |
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video.play(); |
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}; |
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this.faceRecognition(video); |
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} catch (error) { |
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console.error('An error occurred while accessing the camera:', error); |
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this.__parentedParent.notifications.add( |
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'Unable to access webcam. Please check your device permissions or use a supported browser.', { |
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title: 'Webcam Error', |
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type: 'danger', |
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sticky: true, |
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className: "p-4" |
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} |
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); |
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} |
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}, |
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// -----To start the face recognition-----------
|
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async faceRecognition(video) { |
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const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(video); |
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if (!labeledFaceDescriptors) { |
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console.error('No labeled face descriptors available.'); |
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this.stopWebcamAndDetection(); |
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return; |
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} |
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if (!this.faceMatcher) { |
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const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(); |
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this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors]); |
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if (labeledFaceDescriptors && labeledFaceDescriptors.descriptor) { |
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this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
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} else { |
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console.error("Could not get face descriptor from reference image"); |
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this.__parentedParent.notification.add("Failed to initialize face recognition, Please upload a new, properly formatted image.", { |
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type: "danger", |
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title: "Image detection failed!", |
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}); |
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this.stopRecognition(video); |
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return; |
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} |
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} |
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let attendanceMarked = false; |
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let notificationSent = false; |
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this.faceRecognitionInterval = setInterval(async () => { |
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try { |
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const detections = await faceapi |
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.detectAllFaces(video) |
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.withFaceLandmarks() |
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.withFaceDescriptors(); |
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if (detections.length === 0) { |
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if (!notificationSent) { |
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this.__parentedParent.notifications.add( |
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'No face detected.', { |
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title: 'Detection Failed!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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notificationSent = true; |
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} |
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this.stopWebcamAndDetection(); |
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return; |
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} |
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detections.forEach((detection) => { |
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const match = this.faceMatcher.findBestMatch(detection.descriptor); |
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if (match._distance < 0.4 && !attendanceMarked) { |
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const modal = this.el.querySelector('#video'); |
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if (modal) { |
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modal.style.display = 'none'; |
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} |
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attendanceMarked = true; |
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notificationSent = false; |
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this.markAttendance(); |
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clearInterval(this.faceRecognitionInterval); |
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this.stopWebcamAndDetection(); |
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} |
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}); |
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if (!attendanceMarked && !notificationSent) { |
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this.__parentedParent.notifications.add( |
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'Face is not recognized.', { |
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title: 'No Match!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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notificationSent = true; |
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this.stopWebcamAndDetection(); |
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} |
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} catch (error) { |
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console.error('Error during face recognition:', error); |
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this.stopWebcamAndDetection(); |
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} |
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}, 100); |
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}, |
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// ---------Fetch labeled face descriptions (employee's face data)------
|
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async getLabeledFaceDescriptions(video) { |
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const employee_image_base64 = await rpc.query({ |
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model: 'hr.employee', |
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method: 'get_kiosk_image', |
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args: [this.employee_id] |
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}); |
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if (employee_image_base64) { |
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const employee_image = new Image(); |
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employee_image.src = "data:image/jpeg;base64," + employee_image_base64; |
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try { |
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const detections = await faceapi |
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.detectSingleFace(employee_image) |
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.withFaceLandmarks() |
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.withFaceExpressions() |
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.withFaceDescriptor(); |
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if (!detections) { |
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console.error('No face detected in the image.'); |
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this.__parentedParent.notifications.add( |
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'No face detected in the image.Please upload a new, properly formatted image in the profile.', { |
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title: 'Image detection failed!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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return; |
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} |
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return detections; |
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} catch (error) { |
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console.error('Error during face detection:', error); |
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} |
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} else { |
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console.error('No image data found for the employee.'); |
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} |
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}, |
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// ----------Function to stop webcam and face detection-----
|
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stopWebcamAndDetection() { |
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const video = this.el.querySelector('#video'); |
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if (video.srcObject) { |
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const stream = video.srcObject; |
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const tracks = stream.getTracks(); |
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tracks.forEach(track => track.stop()); |
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video.srcObject = null; //
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} |
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if (this.faceRecognitionInterval) { |
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clearInterval(this.faceRecognitionInterval); |
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this.faceRecognitionInterval = null; |
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} |
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this.faceMatcher = null; |
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}, |
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// ------------Redirecting to welcome/checkout page ----------------------------------
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markAttendance() { |
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const self = this; |
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this._rpc({ |
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model: 'hr.employee', |
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method: 'attendance_manual', |
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args: [[this.employee_id], 'hr_attendance.hr_attendance_action_my_attendances'] |
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}).then((result) => { |
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if (result.action) { |
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self.do_action(result.action); |
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} else if (result.warning) { |
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self.do_warn(result.warning); |
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} |
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}).catch((error) => { |
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console.error('Error marking attendance:', error); |
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}); |
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}, |
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}) |
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|
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@ -1,42 +1,205 @@ |
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odoo.define('face_recognized_attendance_login.my_attendance', function(require){ |
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"use strict"; |
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/** |
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* This file inherit the class MyAttendances, and added the functionality, that |
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the login/logout is possible only after the face detection |
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*/ |
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var core = require('web.core'); |
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var Widget = require('web.Widget'); |
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var rpc = require('web.rpc'); |
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var MyAttendances = require('hr_attendance.my_attendances'); |
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var login = 0 |
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// Login made possible, if and only if the captured image and face of the
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// employee matched
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MyAttendances.include({ |
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update_attendance: async function () { |
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await rpc.query({ |
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model:'hr.employee', |
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method:'get_login_screen' |
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}).then(function (data) { |
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login = data |
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}); |
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if (login==1){ |
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var self = this; |
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this._rpc({ |
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odoo.define('face_recognized_attendance_login.my_attendance', function(require) { |
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"use strict"; |
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// Required Odoo dependencies
|
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var core = require('web.core'); |
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var Widget = require('web.Widget'); |
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var rpc = require('web.rpc'); |
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var MyAttendances = require('hr_attendance.my_attendances'); |
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var _t = core._t; |
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var login = 0; |
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const MODEL_URL = '/face_recognized_attendance_login/static/src/js/weights'; |
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// Load face-api.js models
|
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faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL); |
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faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL); |
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faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL); |
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faceapi.nets.tinyFaceDetector.load(MODEL_URL); |
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faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL); |
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faceapi.nets.faceExpressionNet.load(MODEL_URL); |
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faceapi.nets.ageGenderNet.load(MODEL_URL); |
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// Extend MyAttendances widget
|
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MyAttendances.include({ |
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events: _.extend({}, MyAttendances.prototype.events, { |
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'click #close_qr_scanner': 'stopWebcamAndDetection', |
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}), |
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update_attendance: async function() { |
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this.faceMatcher = null; |
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this.el.querySelector('.close_button').classList.remove('d-none'); // Show the close button
|
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await this.startWebcam(); |
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}, |
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//--------------------------------------------------------------------
|
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async startWebcam() { |
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const video = this.el.querySelector('#video'); |
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console.log("navigator",navigator) |
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try { |
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if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) { |
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throw new Error('Webcam access is not supported or allowed in this browser.'); |
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} |
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const stream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false }); |
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video.srcObject = stream; |
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video.onloadedmetadata = () => { |
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video.play(); |
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}; |
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this.faceRecognition(video); |
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} catch (error) { |
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this.el.querySelector('.close_button').classList.add('d-none'); |
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this.__parentedParent.notifications.add( |
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'Unable to access webcam. Please check your device permissions or use a supported browser.', { |
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title: 'Webcam Error', |
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type: 'danger', |
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sticky: true, |
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className: "p-4" |
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} |
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); |
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} |
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}, |
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// --------------------Function to stop webcam and face detection------------
|
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stopWebcamAndDetection() { |
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const video = this.el.querySelector('#video'); |
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this.el.querySelector('.close_button').classList.add('d-none'); |
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if (video.srcObject) { |
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const stream = video.srcObject; |
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const tracks = stream.getTracks(); |
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tracks.forEach(track => track.stop()); |
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video.srcObject = null; //
|
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} |
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if (this.faceRecognitionInterval) { |
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clearInterval(this.faceRecognitionInterval); |
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this.faceRecognitionInterval = null; |
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} |
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this.faceMatcher = null; |
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console.log('Camera and detection stopped.'); |
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}, |
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|
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//------------------ Fetch labeled face descriptions (employee's face data)------
|
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async getLabeledFaceDescriptions(video) { |
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const employee_image_base64 = await rpc.query({ |
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model: 'hr.employee', |
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method: 'get_login_screen', |
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}); |
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if (employee_image_base64) { |
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const employee_image = new Image(); |
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employee_image.src = "data:image/jpeg;base64," + employee_image_base64; |
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try { |
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const detections = await faceapi |
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.detectSingleFace(employee_image) |
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.withFaceLandmarks() |
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.withFaceExpressions() |
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.withFaceDescriptor(); |
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console.log(detections) |
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if (!detections) { |
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console.error('No face detected in the image.'); |
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this.__parentedParent.notifications.add( |
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'No face detected in the image.Please upload a new, properly formatted image in the profile.', { |
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title: 'Image detection failed!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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return; |
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} |
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return detections; |
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} catch (error) { |
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console.error('Error during face detection:', error); |
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} |
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} else { |
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console.error('No image data found for the employee.'); |
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} |
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}, |
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//----------------------------- Face recognition logic---------------
|
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async faceRecognition(video) { |
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const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(video); |
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if (!labeledFaceDescriptors) { |
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console.error('No labeled face descriptors available.'); |
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this.stopWebcamAndDetection(); |
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return; |
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} |
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if (!this.faceMatcher) { |
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const labeledFaceDescriptors = await this.getLabeledFaceDescriptions(); |
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this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors]); |
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if (labeledFaceDescriptors && labeledFaceDescriptors.descriptor) { |
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this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]); |
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} else { |
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console.error("Could not get face descriptor from reference image"); |
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this.__parentedParent.notification.add("Failed to initialize face recognition, Please upload a new, properly formatted image.", { |
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type: "danger", |
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title: "Image detection failed!", |
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}); |
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this.stopRecognition(video); |
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return; |
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} |
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} |
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let attendanceMarked = false; |
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let notificationSent = false; |
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this.faceRecognitionInterval = setInterval(async () => { |
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try { |
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const detections = await faceapi |
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.detectAllFaces(video) |
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.withFaceLandmarks() |
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.withFaceDescriptors(); |
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if (detections.length === 0) { |
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if (!notificationSent) { |
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this.__parentedParent.notifications.add( |
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'No face detected.', { |
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title: 'Detection Failed!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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notificationSent = true; // Prevent duplicate notifications
|
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} |
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this.stopWebcamAndDetection(); |
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return; |
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} |
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detections.forEach((detection) => { |
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const match = this.faceMatcher.findBestMatch(detection.descriptor); |
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if (match._distance < 0.4 && !attendanceMarked) { |
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const modal = this.el.querySelector('#video'); |
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if (modal) { |
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modal.style.display = 'none'; |
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} |
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attendanceMarked = true; // Set flag to prevent re-matching
|
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notificationSent = false; // Reset notification flag
|
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this.markAttendance(); |
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clearInterval(this.faceRecognitionInterval); |
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this.stopWebcamAndDetection(); // Stop webcam and detection
|
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} |
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}); |
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if (!attendanceMarked && !notificationSent) { |
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this.__parentedParent.notifications.add( |
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'Face is not recognized.', { |
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title: 'No Match!', |
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type: 'danger', |
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sticky: false, |
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className: "p-4" |
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} |
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); |
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notificationSent = true; |
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this.stopWebcamAndDetection(); |
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} |
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} catch (error) { |
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console.error('Error during face recognition:', error); |
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this.stopWebcamAndDetection(); |
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} |
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}, 100); |
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}, |
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// ------------Redirecting to welcome/checkout page ----------------------------------
|
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markAttendance() { |
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const self = this; |
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this._rpc({ |
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model: 'hr.employee', |
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method: 'attendance_manual', |
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args: [[self.employee.id], 'hr_attendance.hr_attendance_action_my_attendances'], |
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}) |
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.then(function(result) { |
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args: [[self.employee.id], 'hr_attendance.hr_attendance_action_my_attendances'] |
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}).then((result) => { |
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if (result.action) { |
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self.do_action(result.action); |
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} else if (result.warning) { |
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self.do_warn(result.warning); |
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} |
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}).catch((error) => { |
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console.error('Error marking attendance:', error); |
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}); |
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} |
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else{ |
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window.alert("Failed to recognize the face. Please try again....") |
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} |
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} |
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}); |
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}, |
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}); |
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}); |
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|
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Binary file not shown.
@ -0,0 +1,618 @@ |
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[ |
|||
{ |
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"weights": [ |
|||
{ |
|||
"name": "entry_flow/conv_in/filters", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
3, |
|||
32 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.005431825039433498, |
|||
"min": -0.7441600304023892 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/conv_in/bias", |
|||
"shape": [ |
|||
32 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
32, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.005691980614381678, |
|||
"min": -0.6090419257388395 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
32, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.009089225881239947, |
|||
"min": -1.1179747833925135 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv0/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32" |
|||
}, |
|||
{ |
|||
"name": "entry_flow/reduction_block_0/separable_conv1/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
64, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
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|||
"scale": 0.0015159862590771096, |
|||
"min": -0.30926119685173037 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
32, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.002666276225856706, |
|||
"min": -0.317286870876948 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
32, |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.015265831292844286, |
|||
"min": -1.6792414422128714 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv2/bias", |
|||
"shape": [ |
|||
64 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0020280554598453, |
|||
"min": -0.37113414915168985 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
64, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.006100742489683862, |
|||
"min": -0.8907084034938438 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
64, |
|||
128 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.016276211832083907, |
|||
"min": -2.0508026908425725 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv3/bias", |
|||
"shape": [ |
|||
128 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.003394414279975143, |
|||
"min": -0.7637432129944072 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
128, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.006716050119961009, |
|||
"min": -0.8059260143953211 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
128, |
|||
256 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.021875603993733724, |
|||
"min": -2.8875797271728514 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv4/bias", |
|||
"shape": [ |
|||
256 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.0041141652009066415, |
|||
"min": -0.8187188749804216 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/depthwise_filter", |
|||
"shape": [ |
|||
3, |
|||
3, |
|||
256, |
|||
1 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.008423839597141042, |
|||
"min": -0.9013508368940915 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/pointwise_filter", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
256, |
|||
512 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.030007277283014035, |
|||
"min": -3.8709387695088107 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv5/bias", |
|||
"shape": [ |
|||
512 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.008402082966823203, |
|||
"min": -1.4871686851277068 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv8/filters", |
|||
"shape": [ |
|||
1, |
|||
1, |
|||
512, |
|||
25 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.028336129469030042, |
|||
"min": -4.675461362389957 |
|||
} |
|||
}, |
|||
{ |
|||
"name": "conv8/bias", |
|||
"shape": [ |
|||
25 |
|||
], |
|||
"dtype": "float32", |
|||
"quantization": { |
|||
"dtype": "uint8", |
|||
"scale": 0.002268134028303857, |
|||
"min": -0.41053225912299807 |
|||
} |
|||
} |
|||
], |
|||
"paths": [ |
|||
"tiny_face_detector_model-shard1" |
|||
] |
|||
} |
|||
] |
|||
@ -0,0 +1,50 @@ |
|||
<?xml version="1.0" encoding="UTF-8"?> |
|||
<templates xml:space="preserve"> |
|||
<t t-inherit="hr_attendance.HrAttendanceMyMainMenu" |
|||
t-inherit-mode="extension"> |
|||
<xpath expr="//t[@t-set='bodyContent']" position="replace"> |
|||
<t t-set="bodyContent"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login" style="position:absolute;"> |
|||
<div class="qr_video_kiosk"> |
|||
<div class="close_button d-none position-absolute" |
|||
t-ref="close_button"> |
|||
<button id="close_qr_scanner_kiosk" t-on-click="stopWebcamAndDetection" |
|||
style="position: absolute; right: 5px; z-index: 111;top:-15px;"> |
|||
X |
|||
</button> |
|||
<div class="video-container"> |
|||
<video id="video" width="" height="" autoplay="true" |
|||
style="margin-left:-150px;margin-top:-24px;"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
<t t-if="widget.employee"> |
|||
<t t-set="checked_in" |
|||
t-value="widget.employee.attendance_state == 'checked_in'"/> |
|||
<!-- Custom Badge Section --> |
|||
<t t-call="HrAttendanceUserBadge"> |
|||
<t t-set="userId" t-value="widget.employee.id"/> |
|||
<t t-set="userName" t-value="widget.employee.name"/></t> |
|||
<div class="flex-grow-1"> |
|||
<h1 class="mt-5" t-esc="widget.employee.name"/> |
|||
<h3> |
|||
<t t-if="!checked_in">Welcome!</t> |
|||
<t t-else="">Want to check out?</t> |
|||
</h3> |
|||
<h4 class="mt0 mb0 text-muted" t-if="checked_in">Today's work hours: |
|||
<span |
|||
t-esc="widget.hours_today"/> |
|||
</h4> |
|||
</div> |
|||
<t t-call="HrAttendanceCheckInOutButtons"/></t> |
|||
<div class="alert alert-warning" t-else=""> |
|||
<b>Warning</b>: Your user should be linked to an employee to |
|||
use attendance. |
|||
<br/> |
|||
Please contact your administrator. |
|||
</div> |
|||
</t> |
|||
</xpath> |
|||
</t> |
|||
</templates> |
|||
@ -0,0 +1,75 @@ |
|||
<?xml version="1.0" encoding="UTF-8"?> |
|||
<templates xml:space="preserve"> |
|||
<t t-inherit="hr_attendance.HrAttendanceKioskConfirm" |
|||
t-inherit-mode="extension"> |
|||
<xpath expr="//t[@t-set='bodyContent']" position="replace"> |
|||
<t t-set="bodyContent"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login" style="position:absolute; display:block !important;pointer-events: none"> |
|||
<div class="qr_video"> |
|||
<!-- <div class="close_button d-none position-absolute"--> |
|||
<!-- t-ref="close_button" style="display:block !important;">--> |
|||
<!-- <button id="close_qr_scanner" t-on-click="stopWebcamAndDetection"--> |
|||
<!-- style="position: absolute; right: 5px; z-index: 111;top:-15px;">--> |
|||
<!-- X--> |
|||
<!-- </button>--> |
|||
|
|||
<!-- </div>--> |
|||
<div class="video-container"> |
|||
<video id="video" width="" height="" autoplay="true" |
|||
style="margin-left:-150px;margin-top:-24px;"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
<t t-set="checked_in" t-value="widget.employee_state=='checked_in'"/> |
|||
|
|||
<button class="o_hr_attendance_back_button btn btn-block btn-secondary btn-lg d-block d-md-none py-5"> |
|||
<i class="fa fa-chevron-left me-2"/> Go back |
|||
</button> |
|||
|
|||
<t t-if="widget.employee_id" t-call="HrAttendanceUserBadge"> |
|||
<t t-set="userId" t-value="widget.employee_id"/> |
|||
<t t-set="userName" t-value="widget.employee_name"/> |
|||
</t> |
|||
|
|||
<button class="o_hr_attendance_back_button o_hr_attendance_back_button_md btn btn-secondary d-none d-md-inline-flex align-items-center position-absolute top-0 start-0 rounded-circle"> |
|||
<i class="fa fa-2x fa-fw fa-chevron-left me-1" role="img" aria-label="Go back" title="Go back"/> |
|||
</button> |
|||
|
|||
<div t-if="widget.employee_id" class="flex-grow-1"> |
|||
<h1 class="mt-5 mb8"><t t-esc="widget.employee_name"/></h1> |
|||
<h3 class="mt8 mb24"><t t-if="!checked_in">Welcome!</t><t t-else="">Want to check out?</t></h3> |
|||
<h4 class="mt0 mb0 text-muted" t-if="checked_in">Today's work hours: <span t-esc="widget.employee_hours_today"/></h4> |
|||
|
|||
<t t-if="!widget.use_pin" t-call="HrAttendanceCheckInOutButtons"/> |
|||
|
|||
<t t-else=""> |
|||
<h3 class="mt-4 mb0 text-muted">Please enter your PIN to <b t-if="checked_in">check out</b><b t-else="">check in</b></h3> |
|||
<div class="row"> |
|||
<div class="col-md-8 offset-md-2 o_hr_attendance_pin_pad"> |
|||
<div class="row g-0" > |
|||
<div class="col-12 mb8 mt8"> |
|||
<input class="o_hr_attendance_PINbox border-0 bg-white fs-1 text-center" type="password" disabled="true"/> |
|||
</div> |
|||
</div> |
|||
<div class="row g-0"> |
|||
<t t-foreach="['1', '2', '3', '4', '5', '6', '7', '8', '9', ['C', 'btn-warning'], '0', ['ok', 'btn-primary']]" t-as="btn_name"> |
|||
<div class="col-4 p-1"> |
|||
<a href="#" t-attf-class="o_hr_attendance_PINbox_button btn {{btn_name[1]? btn_name[1] : 'btn-secondary border'}} btn-block btn-lg {{ 'o_hr_attendance_pin_pad_button_' + btn_name[0] }} d-flex align-items-center justify-content-center"> |
|||
<t t-esc="btn_name[0]"/> |
|||
</a> |
|||
</div> |
|||
</t> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</t> |
|||
</div> |
|||
<div t-else="" class="alert alert-danger mx-3" role="alert"> |
|||
<h4 class="alert-heading">Error: could not find corresponding employee.</h4> |
|||
<p>Please return to the main menu.</p> |
|||
</div> |
|||
<a role="button" class="oe_attendance_sign_in_out" aria-label="Sign out" title="Sign out"/> |
|||
</t> |
|||
</xpath> |
|||
</t> |
|||
</templates> |
|||
@ -0,0 +1,24 @@ |
|||
<?xml version="1.0" encoding="UTF-8" ?> |
|||
<odoo> |
|||
<!--Calling the controller of scanner from login page--> |
|||
<template id="qr_login" inherit_id="web.login" name="QR scanner"> |
|||
<xpath expr="//div[hasclass('o_login_auth')]" position="before"> |
|||
<div class="justify-content-between mt-2 d-flex small oe_qr_login"> |
|||
<a href="#" id="login_click" t-on-click='_onLoginClick'>Login With QR</a> |
|||
<div class="qr_video"> |
|||
<div class="close_button d-none position-absolute" t-ref="close_button"> |
|||
<button id="close_qr_scanner" style="position: absolute; right: 0px; z-index: 111"> |
|||
X |
|||
</button> |
|||
<div class="video-container"> |
|||
|
|||
<video id="video" width="" height="" autoplay="true"/> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</div> |
|||
</xpath> |
|||
</template> |
|||
</odoo> |
|||
|
|||
|
|||
Loading…
Reference in new issue