人脸识别基本完成

hb_client/.env.production

@@ -2,5 +2,6 @@
 ENV = 'production'
 
 # base api
-VUE_APP_BASE_API = 'http://47.95.0.242:2222/api'
+#VUE_APP_BASE_API = 'http://47.95.0.242:2222/api'
+VUE_APP_BASE_API = 'http://127.0.0.1:8000/api'
 

hb_server/apps/hrm/migrations/0003_employee_face_data.py

@@ -0,0 +1,18 @@
+# Generated by Django 3.2.6 on 2021-10-18 05:26
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('hrm', '0002_auto_20210924_1127'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='employee',
+            name='face_data',
+            field=models.JSONField(blank=True, null=True, verbose_name='人脸识别数据'),
+        ),
+    ]

hb_server/apps/hrm/models.py

@@ -28,9 +28,12 @@ class Employee(CommonAModel):
     academic = models.CharField('学历', max_length=50, null=True, blank=True)
     jobstate  = models.IntegerField('在职状态', choices=jobstate_choices, default=1)
     job = models.ForeignKey(Position, null=True, blank=True, on_delete=models.SET_NULL, verbose_name='岗位')
+    face_data = models.JSONField('人脸识别数据', null=True, blank=True)
     class Meta:
         verbose_name = '员工补充信息'
         verbose_name_plural = verbose_name
 
     def __str__(self):
-        return self.name
+        return self.name
+
+

hb_server/apps/hrm/serializers.py

@@ -1,6 +1,6 @@
 from apps.system.models import User
 from rest_framework.serializers import ModelSerializer
-
+from rest_framework import serializers
 from .models import Employee
 from apps.system.serializers import UserListSerializer, UserSimpleSerializer
 from django.db.models.query import Prefetch
@@ -20,3 +20,6 @@ class EmployeeSerializer(ModelSerializer):
     #             queryset=User.objects.filter(employee_user__isnull=True))
     #         )
     #     return queryset
+
+class FaceLoginSerializer(serializers.Serializer):
+    base64 = serializers.CharField()

hb_server/apps/hrm/urls.py

@@ -1,12 +1,13 @@
 from django.db.models import base
 from rest_framework import urlpatterns
-from apps.hrm.views import EmployeeViewSet
+from apps.hrm.views import EmployeeViewSet, FaceLogin
 from django.urls import path, include
 from rest_framework.routers import DefaultRouter
 
 router = DefaultRouter()
 router.register('employee', EmployeeViewSet, basename='employee')
 urlpatterns = [
+    path('facelogin/', FaceLogin.as_view()),
     path('', include(router.urls)),
 ]
 

hb_server/apps/hrm/views.py

@@ -1,9 +1,34 @@
 from django.shortcuts import render
+from rest_framework.response import Response
 from rest_framework.viewsets import ModelViewSet, GenericViewSet
 from rest_framework.mixins import UpdateModelMixin, RetrieveModelMixin
 from apps.system.mixins import CreateUpdateModelAMixin, OptimizationMixin
 from apps.hrm.models import Employee
-from apps.hrm.serializers import EmployeeSerializer
+from apps.hrm.serializers import EmployeeSerializer, FaceLoginSerializer
+import face_recognition
+from django.conf import settings
+from django.core.cache import cache
+import logging
+from rest_framework.generics import CreateAPIView
+from rest_framework import status
+from rest_framework_simplejwt.tokens import RefreshToken
+
+from apps.system.models import User
+logger = logging.getLogger('log')
+
+
+def load_face_data(username:int, path:str):
+    """
+    将某用户face_encoding加载进缓存
+    """
+    face_datas = cache.get_or_set('face_datas', {}, timeout=None)
+    photo_path = settings.BASE_DIR + path
+    picture_of_me = face_recognition.load_image_file(photo_path)
+    my_face_encoding = face_recognition.face_encodings(picture_of_me)[0]
+    face_datas[username] = my_face_encoding
+    cache.set('face_datas', face_datas, timeout=None)
+    return my_face_encoding
+
 # Create your views here.
 class EmployeeViewSet(CreateUpdateModelAMixin, OptimizationMixin, UpdateModelMixin, RetrieveModelMixin, GenericViewSet):
     """
@@ -12,4 +37,71 @@ class EmployeeViewSet(CreateUpdateModelAMixin, OptimizationMixin, UpdateModelMix
     perms_map = {'get': '*', 'put': 'employee_update'}
     queryset = Employee.objects.all()
     serializer_class = EmployeeSerializer
-    ordering = ['-pk']
+    ordering = ['-pk']
+    
+    def perform_update(self, serializer):
+        instance = serializer.save(update_by = self.request.user)
+        try:
+            photo_path = settings.BASE_DIR + instance.photo
+            picture_of_me = face_recognition.load_image_file(photo_path)
+            my_face_encoding = face_recognition.face_encodings(picture_of_me)[0]
+            instance.face_data = my_face_encoding.tolist()
+            instance.save()
+        except:
+            logger.error('人脸识别出错')
+
+import uuid
+import base64
+import os
+
+def tran64(s):
+    missing_padding = len(s) % 4
+    if missing_padding != 0:
+        s = s+'='* (4 - missing_padding)
+    return s
+
+class FaceLogin(CreateAPIView):
+    authentication_classes = []
+    permission_classes = []
+    serializer_class = FaceLoginSerializer
+
+
+    def create(self, request, *args, **kwargs):
+        """
+        人脸识别登录
+        """
+        # serializer = FaceLoginSerializer(data=request.data)
+        # serializer.is_valid(raise_exception=True)
+        filename = str(uuid.uuid4())
+        filepath = settings.BASE_DIR +'/temp/' + filename +'.png'
+        with open(filepath, 'wb') as f:
+            data = tran64(request.data.get('base64').replace(' ', '+'))
+            f.write(base64.urlsafe_b64decode(data))
+       # picture_of_me = face_recognition.load_image_file(settings.BASE_DIR +'/temp/me.png')
+       # my_face_encoding = face_recognition.face_encodings(picture_of_me)[0]
+        #results = face_recognition.compare_faces([my_face_encoding], unknown_face_encoding, tolerance=0.2)
+        try:
+            unknown_picture = face_recognition.load_image_file(filepath)
+            unknown_face_encoding = face_recognition.face_encodings(unknown_picture)[0]
+            os.remove(filepath)
+        except:
+            logger.error('解码失败')
+
+        # 匹配人脸库
+        user_faces = Employee.objects.filter(face_data__isnull=False, user__is_active=True).values('user', 'face_data')
+        user_l = []
+        face_l = []
+        for i in user_faces:
+            user_l.append(i['user'])
+            face_l.append(i['face_data'])
+
+        results = face_recognition.compare_faces(face_l, unknown_face_encoding, tolerance=0.2)
+        for index, value in enumerate(results):
+            if value:
+                # 识别成功
+                refresh = RefreshToken.for_user(User.objects.get(id=user_l[index]))
+                return Response({
+                    'refresh': str(refresh),
+                    'access': str(refresh.access_token),
+                })      
+        return Response('未找到对应用户', status=status.HTTP_400_BAD_REQUEST)

hb_server/apps/system/serializers.py

@@ -199,5 +199,3 @@ class UserCreateSerializer(serializers.ModelSerializer):
         return phone
 
 
-class FaceLoginSerializer(serializers.Serializer):
-    base64 = serializers.CharField()

hb_server/apps/system/urls.py

@@ -1,5 +1,5 @@
 from django.urls import path, include
-from .views import FaceLogin, TaskList, UserViewSet, OrganizationViewSet, PermissionViewSet, RoleViewSet, PositionViewSet, TestView, DictTypeViewSet, DictViewSet, PTaskViewSet
+from .views import TaskList, UserViewSet, OrganizationViewSet, PermissionViewSet, RoleViewSet, PositionViewSet, TestView, DictTypeViewSet, DictViewSet, PTaskViewSet
 from rest_framework import routers
 
 
@@ -15,6 +15,5 @@ router.register('ptask', PTaskViewSet, basename="ptask")
 urlpatterns = [
     path('', include(router.urls)),
     path('task/', TaskList.as_view()),
-    path('test/', TestView.as_view()),
+    path('test/', TestView.as_view())
-    path('facelogin/', FaceLogin.as_view())
 ]

hb_server/apps/system/views.py

@@ -21,6 +21,7 @@ from rest_framework.views import APIView
 from rest_framework.viewsets import GenericViewSet, ModelViewSet
 from rest_framework_simplejwt.tokens import RefreshToken
 from rest_framework.exceptions import ValidationError, ParseError
+from apps.hrm.models import Employee
 from utils.queryset import get_child_queryset2
 
 from .filters import UserFilter
@@ -29,7 +30,7 @@ from .models import (Dict, DictType, File, Organization, Permission, Position,
                      Role, User)
 from .permission import RbacPermission, get_permission_list
 from .permission_data import RbacFilterSet
-from .serializers import (DictSerializer, DictTypeSerializer, FaceLoginSerializer, FileSerializer,
+from .serializers import (DictSerializer, DictTypeSerializer, FileSerializer,
                           OrganizationSerializer, PermissionSerializer,
                           PositionSerializer, RoleSerializer, PTaskSerializer,PTaskCreateUpdateSerializer,
                           UserCreateSerializer, UserListSerializer,
@@ -352,43 +353,3 @@ class FileViewSet(CreateModelMixin, DestroyModelMixin, RetrieveModelMixin, ListM
         instance.save()
 
 
-
-#import face_recognition
-import uuid
-import base64
-import os
-
-def tran64(s):
-    missing_padding = len(s) % 4
-    if missing_padding != 0:
-        s = s+'='* (4 - missing_padding)
-    return s 
-
-class FaceLogin(CreateAPIView):
-    authentication_classes = []
-    permission_classes = []
-    serializer_class = FaceLoginSerializer
-
-
-    def create(self, request, *args, **kwargs):
-        """
-        人脸识别登录
-        """
-        # serializer = FaceLoginSerializer(data=request.data)
-        # serializer.is_valid(raise_exception=True)
-        filename = str(uuid.uuid4())
-        filepath = settings.BASE_DIR +'/temp/' + filename +'.png'
-        with open(filepath, 'wb') as f:
-            data = tran64(request.data.get('base64').replace(' ', '+'))
-            f.write(base64.urlsafe_b64decode(data))
-       # picture_of_me = face_recognition.load_image_file(settings.BASE_DIR +'/temp/me.png')
-       # my_face_encoding = face_recognition.face_encodings(picture_of_me)[0]
-       # unknown_picture = face_recognition.load_image_file(filepath)
-       # unknown_face_encoding = face_recognition.face_encodings(unknown_picture)[0]
-        #results = face_recognition.compare_faces([my_face_encoding], unknown_face_encoding, tolerance=0.2)
-        os.remove(filepath)
-       # if results[0] == True:
-          #  return Response('这是曹前明')
-      #  else:
-       #     return Response('这不是曹前明')
-