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2020-045
Commit 745d5d36 authored by Janadi's avatar Janadi
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7/2/2020

parent 68701cfd
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      WalkingPatternRecognition/.idea/workspace.xml
      View file @ 745d5d36
      ......@@ -13,6 +13,7 @@
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      ......@@ -29,6 +30,7 @@
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      <property name="last_opened_file_path" value="$PROJECT_DIR$" />
      ......@@ -40,6 +42,11 @@
      <property name="node.js.selected.package.tslint" value="(autodetect)" />
      <property name="settings.editor.selected.configurable" value="preferences.lookFeel" />
      </component>
      <component name="RecentsManager">
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      </key>
      </component>
      <component name="RunManager">
      <configuration name="WalkingPatternRecognition" type="Python.DjangoServer" factoryName="Django server">
      <module name="WalkingPatternRecognition" />
      ......@@ -47,6 +54,7 @@
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      <envs>
      <env name="PYTHONUNBUFFERED" value="1" />
      <env name="DJANGO_SETTINGS_MODULE" value="WalkingPatternRecognition.settings" />
      </envs>
      <option name="SDK_HOME" value="" />
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      \ No newline at end of file
      WalkingPatternRecognition/TrainingAndTestingData/Data.py
      View file @ 745d5d36
      from csv import writer
      import pandas as pd
      class Data:
      data = '';
      Read = [];
      data = ''
      Read = []
      def __init__(self,data):
      self.data= data;
      self.data = data
      def ReadData(self):
      self.Read= pd.read_csv(self.data);
      return self.Read;
      self.Read = pd.read_csv(self.data)
      return self.Read
      def append_list_as_row(self,file_name, list_of_elem):
      def append_list_as_row(self, file_name, list_of_elem):
      # Open file in append mode
      with open(file_name, 'a+', newline='') as write_obj:
      # Create a writer object from csv module
      csv_writer = writer(write_obj)
      # Add contents of list as last row in the csv file
      csv_writer.writerow(list_of_elem)
      \ No newline at end of file
      csv_writer.writerow(list_of_elem)
      WalkingPatternRecognition/TrainingAndTestingData/DogData.csv
      View file @ 745d5d36
      StartTime,EndTime,Date,Activity
      2016-02-22 14:59:44.561776,2016-02-22 14:59:44.561805,2016-02-22 14:59:44.561805,run
      WalkingPatternRecognition/TrainingAndTestingData/Example.csv
      View file @ 745d5d36
      timestamp,accelerometer_X,accelerometer_Y,accelerometer_Z
      2016-02-22 14:59:44.561776,0.612916,-10.400413,0.095768
      2016-02-22 14:59:44.561777,6.421249,29.022512,8.8777
      2016-02-22 14:59:44.561778,5.214572,20.910957,8.30788
      2016-02-22 14:59:44.561779,0.565032,-9.792285,-0.325611
      2016-02-22 14:59:44.561780,-2.738967,4.458004,8.255207
      2016-02-22 14:59:44.561781,-2.585738,7.244855,0.521936
      2016-02-22 14:59:44.561782,-2.140416,-19.938911,-2.284068
      2016-02-22 14:59:44.561783,30.119057,23.142353,-16.376339
      2016-02-22 14:59:44.561784,-4.165911,7.268797,2.226608
      2016-02-22 14:59:44.561785,-1.522712,-15.916653,1.92015
      2016-02-22 14:59:44.561786,12.909535,28.543673,0.354342
      2016-02-22 14:59:44.561787,-0.11971,16.591818,-0.071826
      2016-02-22 14:59:44.561788,4.644751,-16.098612,-2.715025
      2016-02-22 14:59:44.561789,5.736508,13.55597,7.354988
      2016-02-22 14:59:44.561790,-8.00621,5.315128,2.284068
      2016-02-22 14:59:44.561791,7.886501,-12.397177,1.120486
      2016-02-22 14:59:44.561792,30.674513,24.890121,-4.079719
      2016-02-22 14:59:44.561793,1.187524,13.072341,-1.953669
      2016-02-22 14:59:44.561794,1.44131,-14.585477,3.610456
      2016-02-22 14:59:44.561795,6.0286,17.889475,-0.732626
      2016-02-22 14:59:44.561796,15.35641,25.665842,-2.499546
      2016-02-22 14:59:44.561797,0.550666,-3.926491,0.895431
      2016-02-22 14:59:44.561798,-3.246537,8.75799,-3.605668
      2016-02-22 14:59:44.561799,-1.345541,5.391742,-1.359906
      2016-02-22 14:59:44.561800,17.860744,-3.758896,-3.394978
      2016-02-22 14:59:44.561801,18.689138,22.256498,-1.335964
      2016-02-22 14:59:44.561802,-0.143652,8.240842,-0.703895
      2016-02-22 14:59:44.561803,0.80924,-20.618866,-1.489193
      2016-02-22 14:59:44.561804,15.629349,29.8126,2.30801
      2016-02-22 14:59:44.561805,15.528792,30.004135,10.548853
      1/1/2020 0:00,0.296881,5.621586,8.001422
      1/2/2020 0:00,0.464475,5.262456,7.627927
      1/3/2020 0:00,0.105345,5.324705,7.915231
      1/4/2020 0:00,-0.019154,5.726931,8.279149
      1/5/2020 0:00,-0.253785,5.616797,8.063671
      1/6/2020 0:00,-0.248997,5.48751,7.886501
      1/7/2020 0:00,-0.368707,5.396531,8.063671
      1/8/2020 0:00,-0.167594,5.425261,8.288726
      1/9/2020 0:00,-0.430956,5.621586,8.226477
      1/10/2020 0:00,-0.272939,5.118803,8.408437
      1/11/2020 0:00,0.263362,4.668694,8.317456
      1/12/2020 0:00,-0.311246,4.989517,7.513005
      1/13/2020 0:00,0.105345,4.730943,9.002198
      1/14/2020 0:00,0.095768,4.797981,8.848969
      1/15/2020 0:00,-0.153229,4.453215,9.097966
      1/16/2020 0:00,0.09098,4.644751,8.585608
      1/17/2020 0:00,0.038307,4.644751,8.719683
      1/18/2020 0:00,0.205901,4.999093,8.643068
      1/19/2020 0:00,-0.301669,4.367024,8.207323
      1/20/2020 0:00,-0.129287,4.673482,8.06846
      1/21/2020 0:00,-0.181959,4.458004,8.705317
      1/22/2020 0:00,-0.019154,4.381389,8.853758
      1/23/2020 0:00,0.100556,4.443639,8.705317
      1/24/2020 0:00,-0.004788,4.390966,8.777143
      1/25/2020 0:00,-0.172383,4.472369,8.858546
      1/26/2020 0:00,-1.043872,3.979163,7.445967
      1/27/2020 0:00,-0.679953,4.194642,8.446744
      1/28/2020 0:00,-0.215478,3.888184,9.045294
      1/29/2020 0:00,-0.134075,4.242526,8.743625
      1/1/2020 0:01,-1.426944,5.109226,7.94875
      WalkingPatternRecognition/TrainingAndTestingData/FeatureExtraction.py
      View file @ 745d5d36
      import numpy as np
      from sympy import fft
      import GetData as gd
      from TrainingAndTestingData import GetData as gd
      class FeatureExtraction:
      list=[]
      ......@@ -8,7 +9,6 @@ class FeatureExtraction:
      def __init__(self,list):
      self.list= list;
      def MinimumPeak(self,list):
      min_value = None
      for value in list:
      ......@@ -65,104 +65,90 @@ class FeatureExtraction:
      num = i
      return num
      def getFeatureSingle(self,list):
      def getSmallFeatureSingle(self,list):
      d= gd.GetData(list)
      X= d.getX(list)
      Y= d.getY(list)
      Z=d.getZ(list)
      Magnitudes=d.getMagnitude(list)
      Activities= d.getActivities(list)
      fe = FeatureExtraction(list);
      fe = FeatureExtraction(list)
      feature=[];
      feature=[]
      feature.append(fe.MinimumPeak(X))
      feature.append(fe.MinimumPeak(Y));
      feature.append(fe.MinimumPeak(Z));
      feature.append(fe.MaximumPeak(X));
      feature.append(fe.MaximumPeak(Y));
      feature.append(fe.MaximumPeak(Z));
      feature.append(fe.Mean(X));
      feature.append(fe.Mean(Y));
      feature.append(fe.Mean(Z));
      feature.append(fe.median(X));
      feature.append(fe.median(Y));
      feature.append(fe.median(Z));
      feature.append(fe.Variance(X));
      feature.append(fe.Variance(Y));
      feature.append(fe.Variance(Z));
      feature.append(fe.StandardDeviation(X));
      feature.append(fe.StandardDeviation(Y));
      feature.append(fe.StandardDeviation(Z));
      feature.append(fe.RMS(X));
      feature.append(fe.RMS(Y));
      feature.append(fe.RMS(Z));
      feature.append(fe.Energy(X));
      feature.append(fe.Energy(Y));
      feature.append(fe.Energy(Z));
      feature.append(fe.Mean(Magnitudes));
      feature.append(np.bincount(Activities).argmax());
      feature.append(fe.MinimumPeak(Y))
      feature.append(fe.MinimumPeak(Z))
      feature.append(fe.MaximumPeak(X))
      feature.append(fe.MaximumPeak(Y))
      feature.append(fe.MaximumPeak(Z))
      feature.append(fe.Mean(X))
      feature.append(fe.Mean(Y))
      feature.append(fe.Mean(Z))
      feature.append(np.bincount(Activities).argmax())
      print("Feature Vector \n" ,feature , "\n\n");
      return feature;
      def getTestFeatureSingle(self,list):
      d= gd.GetData(list)
      X= d.getX(list)
      Y= d.getY(list)
      Z=d.getZ(list)
      Magnitudes=d.getMagnitude(list)
      Times= d.getStartAndEndTime(list)
      fe = FeatureExtraction(list);
      print("Feature Vector \n" ,feature , "\n\n")
      return feature
      feature=[];
      def getSmallTestFeatureSingle(self,list):
      d = gd.GetData(list)
      X = d.getX(list)
      Y = d.getY(list)
      Z = d.getZ(list)
      times = d.getStartAndEndTime(list)
      fe = FeatureExtraction(list)
      feature = []
      feature.append(fe.MinimumPeak(X))
      feature.append(fe.MinimumPeak(Y));
      feature.append(fe.MinimumPeak(Z));
      feature.append(fe.MaximumPeak(X));
      feature.append(fe.MaximumPeak(Y));
      feature.append(fe.MaximumPeak(Z));
      feature.append(fe.Mean(X));
      feature.append(fe.Mean(Y));
      feature.append(fe.Mean(Z));
      feature.append(fe.median(X));
      feature.append(fe.median(Y));
      feature.append(fe.median(Z));
      feature.append(fe.Variance(X));
      feature.append(fe.Variance(Y));
      feature.append(fe.Variance(Z));
      feature.append(fe.StandardDeviation(X));
      feature.append(fe.StandardDeviation(Y));
      feature.append(fe.StandardDeviation(Z));
      feature.append(fe.RMS(X));
      feature.append(fe.RMS(Y));
      feature.append(fe.RMS(Z));
      feature.append(fe.Energy(X));
      feature.append(fe.Energy(Y));
      feature.append(fe.Energy(Z));
      feature.append(fe.Mean(Magnitudes));
      feature.append(Times[0])
      feature.append(Times[-1])
      feature.append(fe.MinimumPeak(Y))
      feature.append(fe.MinimumPeak(Z))
      feature.append(fe.MaximumPeak(X))
      feature.append(fe.MaximumPeak(Y))
      feature.append(fe.MaximumPeak(Z))
      feature.append(fe.Mean(X))
      feature.append(fe.Mean(Y))
      feature.append(fe.Mean(Z))
      feature.append(times[0])
      feature.append(times[1])
      print("Feature Vector \n" ,feature , "\n\n");
      return feature;
      print("Feature Vector \n",feature, "\n\n");
      return feature
      def getFeatureSingle(self,list):
      d= gd.GetData(list)
      X= d.getX(list)
      Y= d.getY(list)
      Z=d.getZ(list)
      Magnitudes = d.getMagnitude(list)
      Activities = d.getActivities(list)
      fe = FeatureExtraction(list)
      feature=[]
      feature.append(fe.Mean(X))
      feature.append(fe.Mean(Y))
      feature.append(fe.Mean(Z))
      feature.append(fe.median(X))
      feature.append(fe.median(Y))
      feature.append(fe.median(Z))
      feature.append(fe.Variance(X))
      feature.append(fe.Variance(Y))
      feature.append(fe.Variance(Z))
      feature.append(fe.StandardDeviation(X))
      feature.append(fe.StandardDeviation(Y))
      feature.append(fe.StandardDeviation(Z))
      feature.append(fe.RMS(X))
      feature.append(fe.RMS(Y))
      feature.append(fe.RMS(Z))
      feature.append(fe.Energy(X))
      feature.append(fe.Energy(Y))
      feature.append(fe.Energy(Z))
      feature.append(fe.Mean(Magnitudes))
      feature.append(np.bincount(Activities).argmax())
      print("Feature Vector \n",feature, "\n\n")
      return feature
      WalkingPatternRecognition/TrainingAndTestingData/GetData.py
      View file @ 745d5d36
      class GetData:
      data =[];
      data =[]
      def __init__(self,data):
      self.data=data;
      def __init__(self, data):
      self.data=data
      def getX(self,data):
      X=[]
      ......
      WalkingPatternRecognition/TrainingAndTestingData/Main.py
      View file @ 745d5d36
      # In this file , the data is obtained from a csv to create the feature vector, send that to a trained model,
      # predict the activity and then transfer the dog details to a csv to be sent to the database
      import Data as Data
      import GetData as getdata
      import FeatureExtraction as fe
      import Test as Test
      import ReadData as ReadData
      #import warnings
      #warnings.filterwarnings("ignore")
      d= Data.Data('Example.csv')
      data= d.ReadData()
      i,j=0,0;
      length = len(data);
      while(i<= length):
      Index =[];
      count = i+30;
      while(j<= count):
      Index.append(j);
      j= j+1;
      print(Index);
      fIndex , lIndex= Index[0] , Index[-1]
      dataset = data.iloc[fIndex: lIndex+1]
      gd1=getdata.GetData(dataset)
      f= fe.FeatureExtraction(gd1)
      if('activity' in data.columns):
      print("For Training ")
      FeatureVector = f.getFeatureSingle(dataset)
      d.append_list_as_row('FeatureVector.csv', FeatureVector);
      else:
      FeatureVector = f.getTestFeatureSingle(dataset)
      d.append_list_as_row('Test.csv', FeatureVector);
      r = Data.Data('Test.csv')
      predictingActivity = r.ReadData()
      predictedActivity = Test.Test(predictingActivity)
      d1= Data.Data('DogData.csv')
      data1= d1.ReadData()
      activityCountData= ReadData.ReadData(data1)
      i=i+30;
      from TrainingAndTestingData import Data as Data
      from TrainingAndTestingData import GetData as getdata
      from TrainingAndTestingData import FeatureExtraction as fe
      from TrainingAndTestingData import Test as Test
      from TrainingAndTestingData import ReadData as ReadData
      class Main:
      def __init__(self):
      d = Data.Data('TrainingAndTestingData/Example.csv')
      data = d.ReadData()
      i, j = 0, 0
      length = len(data)
      while i <= length:
      Index = []
      count = i + 30
      if j < length:
      while j <= count:
      Index.append(j)
      j = j + 1
      print(Index)
      fIndex, lIndex = Index[0], Index[-1]
      dataset = data.iloc[fIndex: lIndex + 1]
      gd1 = getdata.GetData(dataset)
      f = fe.FeatureExtraction(gd1)
      if 'activity' in data.columns:
      print("For Training ")
      FeatureVector = f.getSmallFeatureSingle(dataset)
      d.append_list_as_row('FeatureVector.csv', FeatureVector)
      else:
      FeatureVector = f.getSmallTestFeatureSingle(dataset)
      d.append_list_as_row('Test.csv', FeatureVector)
      r = Data.Data('Test.csv')
      predictingActivity = r.ReadData()
      predictedActivity = Test.Test(predictingActivity)
      else:
      break
      i = i + 30
      d1 = Data.Data('DogData.csv')
      data1 = d1.ReadData()
      activityCountData = ReadData.ReadData(data1)
      # Once the feature vector is created data from the Example.csv should be cleared.
      # Once the activity is recognized adn inserted to DogData,csv , the Feature vector should be deleted from the Test.csv.
      # Once the activity count is taken and the DB is updated the DogData.csv should be cleared.
      WalkingPatternRecognition/TrainingAndTestingData/ReadData.py
      View file @ 745d5d36
      #This class reads the data for rest , run and walk respectively and calculates the number of minutes of each.
      class ReadData:
      data = '';
      data= ''
      def __init__(self,data):
      self.data= data
      restData = data.apply(lambda x: True if x['Activity'] == 'rest' else False , axis=1)
      numOfRestRows = len(restData[restData == True].index)
      walkData = data.apply(lambda x: True if x['Activity'] == 'walk' else False , axis=1)
      numOfWalkRows = len(walkData[walkData == True].index)
      runData = data.apply(lambda x: True if x['Activity'] == 'run' else False , axis=1)
      numOfRunRows = len(runData[runData == True].index)
      self.data = data
      print(data)
      i, Rest, Walk, Run = 0,0,0,0
      print("Resting Minutes: ",numOfRestRows)
      print("Walking Minutes: ",numOfWalkRows)
      print("Running Minutes: ",numOfRunRows)
      while i<len(data):
      print(i)
      if(data.xs(i)['Activity'] == 'rest'):
      Rest += 1
      if(data.xs(i)['Activity'] == 'walk'):
      Walk += 1
      if(data.xs(i)['Activity'] == 'run'):
      Run += 1
      i += 1
      \ No newline at end of file
      print("Resting Minutes: ", Rest)
      print("Walking Minutes: ", Walk)
      print("Running Minutes: ", Run)
      WalkingPatternRecognition/TrainingAndTestingData/Test.csv
      View file @ 745d5d36
      Xmin,Ymin,Zmin,Xmax,Ymax,Zmax,Xmean,Ymean,Zmean,Xmedian,Ymedian,Zmedian,Xvariance,Yvariance,Zvariance,Xstd,Ystd,Zstd,Xrms,Yrms,Zrms,Xenergy,Yenergy,Zenergy,MaxMagnitude,StartTime,EndTime
      -8.006210000000001,-20.618866,-16.376339,30.674513,30.004134999999998,10.548853,5.7283671,7.1533957333333325,0.5251283333333334,1.3144170000000002,7.7548195,0.011970999999999996,92.04525690845622,262.324475973493,24.892536674532625,9.594021936000367,16.196434051157464,4.9892420941995415,61.20280546040809,96.97869041565232,27.47815301707999,171.851013000000,241.763736102284,46.7146199111146,18.88841309892816,2016-02-22 14:59:44.561776,2016-02-22 14:59:44.561805
      Xmin,Ymin,Zmin,Xmax,Ymax,Zmax,Xmean,Ymean,Zmean,StartTime,EndTime
      WalkingPatternRecognition/TrainingAndTestingData/Test.py
      View file @ 745d5d36
      #This file reads the feature vector predicts the Activity and writes it to a file DogData.csv
      import joblib
      import Data as Data
      from TrainingAndTestingData import Data as Data
      class Test:
      data = '';
      def __init__(self,data):
      self.data= data
      data = ''
      def __init__(self, data):
      self.data = data
      Times= data.loc[:,['StartTime','EndTime']]
      data = data.drop(['StartTime','EndTime'],axis=1)
      Times= data.loc[:,['StartTime', 'EndTime']]
      data = data.drop(['StartTime', 'EndTime'], axis=1)
      X_test = data[:]
      StartTime=Times.xs(0)['StartTime']
      EndTime=Times.xs(0)['EndTime']
      Date=Times.xs(0)['EndTime']
      ActivityArray=[];
      ActivityArray=[]
      # load the Gaussian Bayes Model from disk
      filename= 'Gaussian_model.sav'
      Gaussian_model = joblib.load(filename)
      filename= 'SimplifiedFinalSVMModel.sav'
      model = joblib.load(filename)
      prediction = Gaussian_model.predict(X_test)
      prediction = model.predict(X_test)
      activityPrediction = prediction.tolist().pop()
      if(prediction[0]== 0):
      if(activityPrediction == 0):
      activity ='rest'
      if(prediction[0]== 1):
      if(activityPrediction== 1):
      activity ='walk'
      if(prediction[0]== 2):
      if(activityPrediction== 2):
      activity ='run'
      print("PREDICTION ---->",activity)
      print("PREDICTION ---->",activity, "-",activityPrediction ,"\n\n")
      ActivityArray.append(StartTime)
      ActivityArray.append(EndTime)
      ......
      WalkingPatternRecognition/WalkingPatternRecognition/settings.py
      View file @ 745d5d36
      ......@@ -12,6 +12,7 @@ https://docs.djangoproject.com/en/3.0/ref/settings/
      import os
      # Build paths inside the project like this: os.path.join(BASE_DIR, ...)
      BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
      ......@@ -27,10 +28,11 @@ DEBUG = True
      ALLOWED_HOSTS = []
      # Application definition
      INSTALLED_APPS = [
      'mobileapp',
      'background_task',
      'django.contrib.admin',
      'django.contrib.auth',
      'django.contrib.contenttypes',
      ......@@ -38,13 +40,12 @@ INSTALLED_APPS = [
      'django.contrib.messages',
      'django.contrib.staticfiles',
      'rest_framework',
      'mobileapp',
      'rest_framework.authtoken',
      'rest_auth',
      'django.contrib.sites',
      'allauth',
      'allauth.account',
      'rest_auth.registration',
      'rest_auth.registration'
      ]
      EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
      SITE_ID = 1
      ......@@ -64,9 +65,7 @@ ROOT_URLCONF = 'WalkingPatternRecognition.urls'
      TEMPLATES = [
      {
      'BACKEND': 'django.template.backends.django.DjangoTemplates',
      'DIRS': [
      os.path.join(BASE_DIR, 'reactapp/build')
      ],
      'DIRS': [os.path.join(BASE_DIR, 'templates')],
      'APP_DIRS': True,
      'OPTIONS': {
      'context_processors': [
      ......@@ -109,7 +108,6 @@ REST_FRAMEWORK = {
      }
      # Password validation
      # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators
      ......@@ -147,9 +145,12 @@ USE_TZ = True
      # https://docs.djangoproject.com/en/3.0/howto/static-files/
      STATIC_URL = '/static/'
      LOGIN_REDIRECT_URL = '/'
      STATICFILES_DIRS = [
      os.path.join(BASE_DIR, 'reactapp/build/static')
      ]
      # 'ENGINE': 'django.db.backends.sqlite3',
      # 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
      \ No newline at end of file
      # 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
      WalkingPatternRecognition/WalkingPatternRecognition/urls.py
      View file @ 745d5d36
      ......@@ -19,7 +19,9 @@ from rest_framework.authtoken import views
      urlpatterns = [
      path('admin/', admin.site.urls),
      path('accounts/', include('django.contrib.auth.urls')),
      path('', include('mobileapp.urls', namespace='api')),
      path('api-token-auth/', views.obtain_auth_token, name='api-token-auth'),
      path('api/', include('mobileapp.urls', namespace='api')),
      ]
      WalkingPatternRecognition/mobileapp/__init__.py
      View file @ 745d5d36
      default_app_config = 'mobileapp.apps.MobileappConfig'
      WalkingPatternRecognition/mobileapp/admin.py
      View file @ 745d5d36
      from django.contrib import admin
      from .models import Dog
      from .models import MotionActivity
      from .models import MotionActivityPerDay
      # Register your models here.
      admin.site.register(Dog)
      admin.site.register(MotionActivity)
      admin.site.register(MotionActivityPerDay)
      WalkingPatternRecognition/mobileapp/apps.py
      View file @ 745d5d36
      from django.apps import AppConfig
      def Hello():
      print("Hellooo")
      class MobileappConfig(AppConfig):
      name = 'mobileapp'
      def ready(self):
      print("Starting Up Code...")
      WalkingPatternRecognition/mobileapp/migrations/0002_auto_20200701_1727.py 0 → 100644
      View file @ 745d5d36
      # Generated by Django 2.2.12 on 2020-07-01 11:57
      from django.conf import settings
      from django.db import migrations, models
      import django.db.models.deletion
      import django.utils.timezone
      class Migration(migrations.Migration):
      dependencies = [
      migrations.swappable_dependency(settings.AUTH_USER_MODEL),
      ('mobileapp', '0001_initial'),
      ]
      operations = [
      migrations.CreateModel(
      name='Activity',
      fields=[
      ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
      ('name', models.CharField(max_length=10)),
      ],
      ),
      migrations.CreateModel(
      name='Dog',
      fields=[
      ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
      ('name', models.CharField(max_length=50)),
      ('birthday', models.DateField()),
      ('breed', models.CharField(max_length=10)),
      ('gender', models.CharField(choices=[('M', 'Male'), ('F', 'Female'), ('U', 'Unknown')], max_length=1)),
      ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
      ],
      ),
      migrations.CreateModel(
      name='MotionActivityPerDay',
      fields=[
      ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
      ('date', models.DateField(default=django.utils.timezone.now)),
      ('timePeriod', models.IntegerField()),
      ('activity', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='mobileapp.Activity')),
      ('dog', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='mobileapp.Dog')),
      ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
      ],
      ),
      migrations.DeleteModel(
      name='user',
      ),
      ]
      WalkingPatternRecognition/mobileapp/models.py
      View file @ 745d5d36
      import django
      from django.db import models
      from django.utils import timezone
      from django.conf import settings
      from django.contrib.auth.models import User
      class Dog(models.Model):
      GENDER_TYPES = (
      ('M', 'Male'),
      ('F', 'Female'),
      ('U', 'Unknown'),
      )
      name = models.CharField(max_length=50)
      age = models.IntegerField()
      birthday = models.DateField()
      breed = models.CharField(max_length=10)
      created_date = models.DateTimeField(default=timezone.now)
      gender = models.CharField(max_length=1, choices=GENDER_TYPES)
      user = models.ForeignKey(User, on_delete=models.CASCADE)
      def __str__(self):
      return self.name
      class MotionActivity(models.Model):
      dog = models.ForeignKey(Dog, on_delete=models.CASCADE)
      date = models.DateField(default=django.utils.timezone.now)
      time = models.TimeField(default=django.utils.timezone.now)
      activity = models.CharField(max_length=50)
      class Activity(models.Model):
      name = models.CharField(max_length=10)
      activity_id = models.IntegerField()
      def __str__(self):
      return str(self.dog)
      "{}".format(self.name)
      class MotionActivityPerDay(models.Model):
      dog = models.IntegerField()
      user = models.ForeignKey(User, on_delete=models.CASCADE)
      dog = models.ForeignKey(Dog, on_delete=models.CASCADE)
      date = models.DateField(default=django.utils.timezone.now)
      activity = models.CharField(max_length=10)
      activity = models.ForeignKey(Activity, on_delete=models.CASCADE)
      timePeriod = models.IntegerField()
      def __str__(self):
      return str(self.dog)
      "{} - {} - {} - {}".format(self.dog, self.date, self.activity, self.timePeriod)
      ......
      WalkingPatternRecognition/mobileapp/serializers.py
      View file @ 745d5d36
      from rest_framework import serializers
      from rest_framework.validators import UniqueTogetherValidator
      from django.contrib.auth.models import User
      from .models import Dog, MotionActivity, MotionActivityPerDay
      from .models import Dog, MotionActivityPerDay,Activity
      class UserSerializer(serializers.ModelSerializer):
      ......@@ -31,20 +31,21 @@ class DogSerializer(serializers.ModelSerializer):
      class Meta:
      model = Dog
      fields = ('id', 'name', 'breed', 'age')
      fields = ('name', 'birthday', 'breed', 'gender', 'user')
      class MotionActivitySerializer(serializers.ModelSerializer):
      class ActivitySerializer(serializers.ModelSerializer):
      class Meta:
      model = MotionActivity
      fields = ('dog', 'date', 'time', 'activity')
      model = Activity
      fields = ('name', 'activity_id')
      class MotionActivityPerDaySerializer(serializers.ModelSerializer):
      class Meta:
      model = MotionActivityPerDay
      fields = ('dog', 'date', 'activity', 'timePeriod')
      fields = ('user', 'dog', 'date', 'activity', 'timePeriod')
      WalkingPatternRecognition/mobileapp/templates/registration/login.html 0 → 100644
      View file @ 745d5d36
      {% block content %}
      {% if form.errors %}
      <p>Your username and password didn't match. Please try again.</p>
      {% endif %}
      {% if next %}
      {% if user.is_authenticated %}
      <p>Your account doesn't have access to this page. To proceed,
      please login with an account that has access.</p>
      {% else %}
      <p>Please login to see this page.</p>
      {% endif %}
      {% endif %}
      <form method="post" action="{% url 'login' %}">
      {% csrf_token %}
      <table>
      <tr>
      <td>{{ form.username.label_tag }}</td>
      <td>{{ form.username }}</td>
      </tr>
      <tr>
      <td>{{ form.password.label_tag }}</td>
      <td>{{ form.password }}</td>
      </tr>
      </table>
      <input type="submit" value="login" />
      <input type="hidden" name="next" value="{{ next }}" />
      </form>
      {# Assumes you setup the password_reset view in your URLconf #}
      <p><a href="{% url 'password_reset' %}">Lost password?</a></p>
      {% endblock %}
      \ No newline at end of file
      WalkingPatternRecognition/mobileapp/templates/registration/register.html 0 → 100644
      View file @ 745d5d36
      <!DOCTYPE html>
      <html lang="en">
      <head>
      <meta charset="UTF-8">
      <title>Register</title>
      </head>
      <body>
      <h1>Registration Page!</h1>
      <form method="post" action="{% url 'api:register' %}">
      {% csrf_token %}
      {% if form.errors %}
      <p>There are errors in the form!</p>
      {% endif %}
      {{ form }}
      <input type="submit" value="Register">
      </form>
      </body>
      </html>
      \ No newline at end of file
      WalkingPatternRecognition/mobileapp/templates/user_example/index.html 0 → 100644
      View file @ 745d5d36
      <!DOCTYPE html>
      <html lang="en">
      <head>
      <meta charset="UTF-8">
      <title>Index</title>
      </head>
      <body>
      <h1>This is the index Page</h1>
      {% if user.is_authenticated %}
      <h2>You name is: {{ user.username }}</h2>
      {% else %}
      <h2>You are not logged in.</h2>
      {% endif %}
      </body>
      </html>
      \ No newline at end of file
      WalkingPatternRecognition/mobileapp/urls.py
      View file @ 745d5d36
      from django.urls import include, path
      from . import views
      from .views import UserRecordView,add_motion
      from .views import UserRecordView
      app_name = 'api'
      urlpatterns = [
      path('welcome/', views.welcome),
      path('', views.index, name='index'),
      path('register', views.register, name='register'),
      path('user/', UserRecordView.as_view(), name='users'),
      path('addMotionActivity', views.add_motion),
      path('addMotionActivityPerDay', views.add_motionActivityPerDay),
      path('dogs/', views.DogList.as_view()),
      path('motionActivity/', views.MotionActivityList.as_view()),
      path('motionActivityPerDay/', views.MotionActivityPerDayList.as_view()),
      path('addDogProfile', views.add_DogProfile),
      path('updateDogProfile/<int:dog_id>', views.update_DogProfile),
      path('deleteDogProfile/<int:dog_id>', views.delete_DogProfile),
      path('addMotionActivityPerDay', views.add_motionActivityPerDay),
      path('updateMotionActivityPerDay/<int:id>', views.update_MotionActivityPerDay),
      path('motionActivityPerDay', views.MotionActivityPerDayList.as_view()),
      path('deleteMotionActivityPerDay/<int:motion_id>', views.delete_motionActivityPerDay),
      path('addActivity', views.add_Activity),
      # Get The details as necessary
      path('getActivityData/<int:activity_id>', views.DataBasedOnActivity)
      # Walking Data
      # Running Data
      ]
      \ No newline at end of file
      ]
      WalkingPatternRecognition/mobileapp/views.py
      View file @ 745d5d36
      from django.contrib.auth import authenticate, login
      from django.core.exceptions import ObjectDoesNotExist
      from django.shortcuts import render
      from django.http import HttpResponse, JsonResponse
      from django.shortcuts import get_object_or_404
      from django.http import JsonResponse, HttpResponse
      from django.views.decorators.csrf import csrf_exempt
      from rest_framework.decorators import api_view
      from rest_framework.views import APIView
      from rest_framework.response import Response
      from rest_framework import status
      import json
      from background_task import background
      from .models import Dog, MotionActivityPerDay,Activity
      from .serializers import DogSerializer, MotionActivityPerDaySerializer, ActivitySerializer
      from django.contrib.auth.decorators import login_required
      from rest_framework.decorators import api_view, permission_classes
      from rest_framework.permissions import IsAuthenticated, IsAdminUser
      from .serializers import UserSerializer
      from django.shortcuts import render, redirect
      from django.contrib.auth.forms import UserCreationForm
      from django.contrib.auth.models import User
      from TrainingAndTestingData import Main
      from .models import Dog, MotionActivity, MotionActivityPerDay
      @background(schedule=60)
      def Method():
      print("Hello World!")
      Main.Main()
      from .serializers import DogSerializer, MotionActivitySerializer, MotionActivityPerDaySerializer
      from rest_framework.decorators import api_view, permission_classes
      from rest_framework.permissions import IsAuthenticated, IsAdminUser
      from django.contrib.auth.models import User
      from .serializers import UserSerializer
      def index(request):
      Method()
      return render(request, 'user_example/index.html')
      def register(request):
      if request.method == 'POST':
      form = UserCreationForm(request.POST)
      if form.is_valid():
      form.save()
      username = form.cleaned_data['username']
      password = form.cleaned_data['password1']
      user = authenticate(username=username, password=password)
      login(request, user)
      return redirect('user_example/index.html')
      else:
      form = UserCreationForm()
      context = {'form': form}
      return render(request, 'registration/register.html', context)
      class UserRecordView(APIView):
      ......@@ -44,13 +71,7 @@ class UserRecordView(APIView):
      status=status.HTTP_400_BAD_REQUEST
      )
      @api_view(["GET"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def welcome(request):
      content = {"message": "Welcome to the Doggy App!"}
      return JsonResponse(content)
      # DOGS
      class DogList(APIView):
      ......@@ -63,63 +84,153 @@ class DogList(APIView):
      pass
      class MotionActivityList(APIView):
      def get(self, request):
      activities = MotionActivity.objects.all()
      serializer = MotionActivitySerializer(activities, many=True)
      return Response(serializer.data)
      @api_view(["POST"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def add_DogProfile(request):
      payload = json.loads(request.body)
      user = request.user
      try:
      dog = Dog.objects.create(
      name=payload["name"],
      birthday=payload["birthday"],
      breed=payload["breed"],
      gender=payload["gender"],
      user=user
      )
      serializer = DogSerializer(dog)
      return JsonResponse({'dog': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"])
      def post(self):
      pass
      @api_view(["PUT"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def update_DogProfile(request, dog_id):
      payload = json.loads(request.body)
      try:
      item = Dog.objects.filter(id=dog_id)
      # returns 1 or 0
      item.update(**payload)
      dog = Dog.objects.get(id=dog_id)
      serializer = DogSerializer(dog)
      return JsonResponse({'dog': serializer.data}, safe=False, status=status.HTTP_200_OK)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': Exception}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
      @api_view(["DELETE"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def delete_DogProfile(request, dog_id):
      try:
      dog = Dog.objects.get(id=dog_id)
      dog.delete()
      return Response(status=status.HTTP_204_NO_CONTENT)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
      # ACTIVITY
      @api_view(["POST"])
      @csrf_exempt
      # @permission_classes([IsAuthenticated])
      def add_motion(request):
      @permission_classes([IsAuthenticated])
      def add_Activity(request):
      payload = json.loads(request.body)
      try:
      motion = MotionActivity.objects.create(
      date=payload["date"],
      time=payload["time"],
      activity=payload["activity"],
      dog=payload["dog"]
      activity = Activity.objects.create(
      name=payload["name"],
      activity_id=payload["activity_id"],
      )
      serializer = MotionActivitySerializer(motion)
      return JsonResponse({'motions': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      serializer = ActivitySerializer(activity)
      return JsonResponse({'activity': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"])
      class MotionActivityPerDayList(APIView):
      def get(self, request):
      activities = MotionActivityPerDay.objects.all()
      serializer = MotionActivityPerDaySerializer(activities, many=True)
      return Response(serializer.data)
      # MOTION ACTIVITY PER DAY
      def post(self):
      pass
      @api_view(["GET"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def DataBasedOnActivity(request, activity_id):
      activities = MotionActivityPerDay.objects.filter(activity_id=activity_id)
      serializer = MotionActivityPerDaySerializer(activities, many=True)
      return JsonResponse({'activities': serializer.data}, safe=False, status=status.HTTP_200_OK)
      @api_view(["POST"])
      @csrf_exempt
      # @permission_classes([IsAuthenticated])
      @permission_classes([IsAuthenticated])
      def add_motionActivityPerDay(request):
      payload = json.loads(request.body)
      user = request.user
      dog = Dog.objects.get(id=payload["dog"])
      activity = Activity.objects.get(activity_id=payload["activity"])
      try:
      motion = MotionActivity.objects.create(
      motion = MotionActivityPerDay.objects.create(
      user=user,
      dog=dog,
      date=payload["date"],
      timePeriod=payload["timePeriod"],
      activity=payload["activity"],
      dog=payload["dog"]
      activity=activity,
      timePeriod=payload["timePeriod"]
      )
      serializer = MotionActivitySerializer(motion)
      serializer = MotionActivityPerDaySerializer(motion)
      return JsonResponse({'motions': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"])
      return JsonResponse({Exception}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"])
      @api_view(["PUT"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def update_MotionActivityPerDay(request, id):
      payload = json.loads(request.body)
      try:
      item = MotionActivityPerDay.objects.filter(id=id)
      # returns 1 or 0
      item.update(**payload)
      motion = MotionActivityPerDay.objects.get(id=id)
      serializer = MotionActivityPerDaySerializer(motion)
      return JsonResponse({'motion': serializer.data}, safe=False, status=status.HTTP_200_OK)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
      class MotionActivityPerDayList(APIView):
      def get(self, request):
      activities = MotionActivityPerDay.objects.all()
      serializer = MotionActivityPerDaySerializer(activities, many=True)
      return Response(serializer.data)
      @api_view(["DELETE"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def delete_motionActivityPerDay(request, motion_id):
      try:
      motion = MotionActivityPerDay.objects.get(id=motion_id)
      motion.delete()
      return Response(status=status.HTTP_204_NO_CONTENT)
      except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception:
      return JsonResponse({'error': 'Something went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
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