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

parent 68701cfd
Pipeline #1216 failed with stages
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      WalkingPatternRecognition/.idea/workspace.xml
      View file @ 745d5d36
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      <configuration name="WalkingPatternRecognition" type="Python.DjangoServer" factoryName="Django server"> <configuration name="WalkingPatternRecognition" type="Python.DjangoServer" factoryName="Django server">
      <module name="WalkingPatternRecognition" /> <module name="WalkingPatternRecognition" />
      ...@@ -47,6 +54,7 @@ ...@@ -47,6 +54,7 @@
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      WalkingPatternRecognition/TrainingAndTestingData/Data.py
      View file @ 745d5d36
      from csv import writer from csv import writer
      import pandas as pd import pandas as pd
      class Data: class Data:
      data = ''; data = ''
      Read = []; Read = []
      def __init__(self,data): def __init__(self,data):
      self.data= data; self.data = data
      def ReadData(self): def ReadData(self):
      self.Read= pd.read_csv(self.data); self.Read = pd.read_csv(self.data)
      return self.Read; 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 # Open file in append mode
      with open(file_name, 'a+', newline='') as write_obj: with open(file_name, 'a+', newline='') as write_obj:
      # Create a writer object from csv module # Create a writer object from csv module
      csv_writer = writer(write_obj) csv_writer = writer(write_obj)
      # Add contents of list as last row in the csv file # Add contents of list as last row in the csv file
      csv_writer.writerow(list_of_elem) csv_writer.writerow(list_of_elem)
      \ No newline at end of file
      WalkingPatternRecognition/TrainingAndTestingData/DogData.csv
      View file @ 745d5d36
      StartTime,EndTime,Date,Activity 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 timestamp,accelerometer_X,accelerometer_Y,accelerometer_Z
      2016-02-22 14:59:44.561776,0.612916,-10.400413,0.095768 1/1/2020 0:00,0.296881,5.621586,8.001422
      2016-02-22 14:59:44.561777,6.421249,29.022512,8.8777 1/2/2020 0:00,0.464475,5.262456,7.627927
      2016-02-22 14:59:44.561778,5.214572,20.910957,8.30788 1/3/2020 0:00,0.105345,5.324705,7.915231
      2016-02-22 14:59:44.561779,0.565032,-9.792285,-0.325611 1/4/2020 0:00,-0.019154,5.726931,8.279149
      2016-02-22 14:59:44.561780,-2.738967,4.458004,8.255207 1/5/2020 0:00,-0.253785,5.616797,8.063671
      2016-02-22 14:59:44.561781,-2.585738,7.244855,0.521936 1/6/2020 0:00,-0.248997,5.48751,7.886501
      2016-02-22 14:59:44.561782,-2.140416,-19.938911,-2.284068 1/7/2020 0:00,-0.368707,5.396531,8.063671
      2016-02-22 14:59:44.561783,30.119057,23.142353,-16.376339 1/8/2020 0:00,-0.167594,5.425261,8.288726
      2016-02-22 14:59:44.561784,-4.165911,7.268797,2.226608 1/9/2020 0:00,-0.430956,5.621586,8.226477
      2016-02-22 14:59:44.561785,-1.522712,-15.916653,1.92015 1/10/2020 0:00,-0.272939,5.118803,8.408437
      2016-02-22 14:59:44.561786,12.909535,28.543673,0.354342 1/11/2020 0:00,0.263362,4.668694,8.317456
      2016-02-22 14:59:44.561787,-0.11971,16.591818,-0.071826 1/12/2020 0:00,-0.311246,4.989517,7.513005
      2016-02-22 14:59:44.561788,4.644751,-16.098612,-2.715025 1/13/2020 0:00,0.105345,4.730943,9.002198
      2016-02-22 14:59:44.561789,5.736508,13.55597,7.354988 1/14/2020 0:00,0.095768,4.797981,8.848969
      2016-02-22 14:59:44.561790,-8.00621,5.315128,2.284068 1/15/2020 0:00,-0.153229,4.453215,9.097966
      2016-02-22 14:59:44.561791,7.886501,-12.397177,1.120486 1/16/2020 0:00,0.09098,4.644751,8.585608
      2016-02-22 14:59:44.561792,30.674513,24.890121,-4.079719 1/17/2020 0:00,0.038307,4.644751,8.719683
      2016-02-22 14:59:44.561793,1.187524,13.072341,-1.953669 1/18/2020 0:00,0.205901,4.999093,8.643068
      2016-02-22 14:59:44.561794,1.44131,-14.585477,3.610456 1/19/2020 0:00,-0.301669,4.367024,8.207323
      2016-02-22 14:59:44.561795,6.0286,17.889475,-0.732626 1/20/2020 0:00,-0.129287,4.673482,8.06846
      2016-02-22 14:59:44.561796,15.35641,25.665842,-2.499546 1/21/2020 0:00,-0.181959,4.458004,8.705317
      2016-02-22 14:59:44.561797,0.550666,-3.926491,0.895431 1/22/2020 0:00,-0.019154,4.381389,8.853758
      2016-02-22 14:59:44.561798,-3.246537,8.75799,-3.605668 1/23/2020 0:00,0.100556,4.443639,8.705317
      2016-02-22 14:59:44.561799,-1.345541,5.391742,-1.359906 1/24/2020 0:00,-0.004788,4.390966,8.777143
      2016-02-22 14:59:44.561800,17.860744,-3.758896,-3.394978 1/25/2020 0:00,-0.172383,4.472369,8.858546
      2016-02-22 14:59:44.561801,18.689138,22.256498,-1.335964 1/26/2020 0:00,-1.043872,3.979163,7.445967
      2016-02-22 14:59:44.561802,-0.143652,8.240842,-0.703895 1/27/2020 0:00,-0.679953,4.194642,8.446744
      2016-02-22 14:59:44.561803,0.80924,-20.618866,-1.489193 1/28/2020 0:00,-0.215478,3.888184,9.045294
      2016-02-22 14:59:44.561804,15.629349,29.8126,2.30801 1/29/2020 0:00,-0.134075,4.242526,8.743625
      2016-02-22 14:59:44.561805,15.528792,30.004135,10.548853 1/1/2020 0:01,-1.426944,5.109226,7.94875
      WalkingPatternRecognition/TrainingAndTestingData/FeatureExtraction.py
      View file @ 745d5d36
      import numpy as np import numpy as np
      from sympy import fft from sympy import fft
      import GetData as gd from TrainingAndTestingData import GetData as gd
      class FeatureExtraction: class FeatureExtraction:
      list=[] list=[]
      ...@@ -8,7 +9,6 @@ class FeatureExtraction: ...@@ -8,7 +9,6 @@ class FeatureExtraction:
      def __init__(self,list): def __init__(self,list):
      self.list= list; self.list= list;
      def MinimumPeak(self,list): def MinimumPeak(self,list):
      min_value = None min_value = None
      for value in list: for value in list:
      ...@@ -65,104 +65,90 @@ class FeatureExtraction: ...@@ -65,104 +65,90 @@ class FeatureExtraction:
      num = i num = i
      return num return num
      def getSmallFeatureSingle(self,list):
      def getFeatureSingle(self,list):
      d= gd.GetData(list) d= gd.GetData(list)
      X= d.getX(list) X= d.getX(list)
      Y= d.getY(list) Y= d.getY(list)
      Z=d.getZ(list) Z=d.getZ(list)
      Magnitudes=d.getMagnitude(list)
      Activities= d.getActivities(list) Activities= d.getActivities(list)
      fe = FeatureExtraction(list); fe = FeatureExtraction(list)
      feature=[]; feature=[]
      feature.append(fe.MinimumPeak(X)) feature.append(fe.MinimumPeak(X))
      feature.append(fe.MinimumPeak(Y)); feature.append(fe.MinimumPeak(Y))
      feature.append(fe.MinimumPeak(Z)); feature.append(fe.MinimumPeak(Z))
      feature.append(fe.MaximumPeak(X)); feature.append(fe.MaximumPeak(X))
      feature.append(fe.MaximumPeak(Y)); feature.append(fe.MaximumPeak(Y))
      feature.append(fe.MaximumPeak(Z)); feature.append(fe.MaximumPeak(Z))
      feature.append(fe.Mean(X)); feature.append(fe.Mean(X))
      feature.append(fe.Mean(Y)); feature.append(fe.Mean(Y))
      feature.append(fe.Mean(Z)); feature.append(fe.Mean(Z))
      feature.append(fe.median(X)); feature.append(np.bincount(Activities).argmax())
      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"); print("Feature Vector \n" ,feature , "\n\n")
      return feature; 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);
      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(X))
      feature.append(fe.MinimumPeak(Y)); feature.append(fe.MinimumPeak(Y))
      feature.append(fe.MinimumPeak(Z)); feature.append(fe.MinimumPeak(Z))
      feature.append(fe.MaximumPeak(X)); feature.append(fe.MaximumPeak(X))
      feature.append(fe.MaximumPeak(Y)); feature.append(fe.MaximumPeak(Y))
      feature.append(fe.MaximumPeak(Z)); feature.append(fe.MaximumPeak(Z))
      feature.append(fe.Mean(X)); feature.append(fe.Mean(X))
      feature.append(fe.Mean(Y)); feature.append(fe.Mean(Y))
      feature.append(fe.Mean(Z)); feature.append(fe.Mean(Z))
      feature.append(fe.median(X)); feature.append(times[0])
      feature.append(fe.median(Y)); feature.append(times[1])
      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])
      print("Feature Vector \n" ,feature , "\n\n"); print("Feature Vector \n",feature, "\n\n");
      return feature; 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: class GetData:
      data =[]; data =[]
      def __init__(self,data): def __init__(self, data):
      self.data=data; self.data=data
      def getX(self,data): def getX(self,data):
      X=[] 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, # 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 # predict the activity and then transfer the dog details to a csv to be sent to the database
      import Data as Data from TrainingAndTestingData import Data as Data
      import GetData as getdata from TrainingAndTestingData import GetData as getdata
      import FeatureExtraction as fe from TrainingAndTestingData import FeatureExtraction as fe
      import Test as Test from TrainingAndTestingData import Test as Test
      import ReadData as ReadData from TrainingAndTestingData import ReadData as ReadData
      #import warnings
      #warnings.filterwarnings("ignore") class Main:
      def __init__(self):
      d= Data.Data('Example.csv') d = Data.Data('TrainingAndTestingData/Example.csv')
      data= d.ReadData() data = d.ReadData()
      i,j=0,0; i, j = 0, 0
      length = len(data); length = len(data)
      while(i<= length): while i <= length:
      Index =[]; Index = []
      count = i+30; count = i + 30
      while(j<= count): if j < length:
      Index.append(j); while j <= count:
      j= j+1; Index.append(j)
      print(Index); j = j + 1
      fIndex , lIndex= Index[0] , Index[-1] print(Index)
      dataset = data.iloc[fIndex: lIndex+1] fIndex, lIndex = Index[0], Index[-1]
      gd1=getdata.GetData(dataset) dataset = data.iloc[fIndex: lIndex + 1]
      f= fe.FeatureExtraction(gd1) gd1 = getdata.GetData(dataset)
      f = fe.FeatureExtraction(gd1)
      if('activity' in data.columns):
      print("For Training ") if 'activity' in data.columns:
      FeatureVector = f.getFeatureSingle(dataset) print("For Training ")
      d.append_list_as_row('FeatureVector.csv', FeatureVector); FeatureVector = f.getSmallFeatureSingle(dataset)
      else: d.append_list_as_row('FeatureVector.csv', FeatureVector)
      FeatureVector = f.getTestFeatureSingle(dataset) else:
      d.append_list_as_row('Test.csv', FeatureVector); FeatureVector = f.getSmallTestFeatureSingle(dataset)
      r = Data.Data('Test.csv') d.append_list_as_row('Test.csv', FeatureVector)
      predictingActivity = r.ReadData() r = Data.Data('Test.csv')
      predictedActivity = Test.Test(predictingActivity) predictingActivity = r.ReadData()
      d1= Data.Data('DogData.csv') predictedActivity = Test.Test(predictingActivity)
      data1= d1.ReadData()
      activityCountData= ReadData.ReadData(data1) else:
      break
      i=i+30; 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. #This class reads the data for rest , run and walk respectively and calculates the number of minutes of each.
      class ReadData: class ReadData:
      data = ''; data= ''
      def __init__(self,data): def __init__(self,data):
      self.data= data self.data = data
      print(data)
      restData = data.apply(lambda x: True if x['Activity'] == 'rest' else False , axis=1) i, Rest, Walk, Run = 0,0,0,0
      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)
      print("Resting Minutes: ",numOfRestRows) while i<len(data):
      print("Walking Minutes: ",numOfWalkRows) print(i)
      print("Running Minutes: ",numOfRunRows) 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
      print("Resting Minutes: ", Rest)
      \ No newline at end of file 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 Xmin,Ymin,Zmin,Xmax,Ymax,Zmax,Xmean,Ymean,Zmean,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
      WalkingPatternRecognition/TrainingAndTestingData/Test.py
      View file @ 745d5d36
      #This file reads the feature vector predicts the Activity and writes it to a file DogData.csv #This file reads the feature vector predicts the Activity and writes it to a file DogData.csv
      import joblib import joblib
      import Data as Data from TrainingAndTestingData import Data as Data
      class Test: class Test:
      data = ''; data = ''
      def __init__(self,data): def __init__(self, data):
      self.data= data self.data = data
      Times= data.loc[:,['StartTime','EndTime']] Times= data.loc[:,['StartTime', 'EndTime']]
      data = data.drop(['StartTime','EndTime'],axis=1) data = data.drop(['StartTime', 'EndTime'], axis=1)
      X_test = data[:] X_test = data[:]
      StartTime=Times.xs(0)['StartTime'] StartTime=Times.xs(0)['StartTime']
      EndTime=Times.xs(0)['EndTime'] EndTime=Times.xs(0)['EndTime']
      Date=Times.xs(0)['EndTime'] Date=Times.xs(0)['EndTime']
      ActivityArray=[]; ActivityArray=[]
      # load the Gaussian Bayes Model from disk # load the Gaussian Bayes Model from disk
      filename= 'Gaussian_model.sav' filename= 'SimplifiedFinalSVMModel.sav'
      Gaussian_model = joblib.load(filename) 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' activity ='rest'
      if(prediction[0]== 1): if(activityPrediction== 1):
      activity ='walk' activity ='walk'
      if(prediction[0]== 2): if(activityPrediction== 2):
      activity ='run' activity ='run'
      print("PREDICTION ---->",activity) print("PREDICTION ---->",activity, "-",activityPrediction ,"\n\n")
      ActivityArray.append(StartTime) ActivityArray.append(StartTime)
      ActivityArray.append(EndTime) ActivityArray.append(EndTime)
      ......
      WalkingPatternRecognition/WalkingPatternRecognition/settings.py
      View file @ 745d5d36
      ...@@ -12,6 +12,7 @@ https://docs.djangoproject.com/en/3.0/ref/settings/ ...@@ -12,6 +12,7 @@ https://docs.djangoproject.com/en/3.0/ref/settings/
      import os import os
      # Build paths inside the project like this: os.path.join(BASE_DIR, ...) # Build paths inside the project like this: os.path.join(BASE_DIR, ...)
      BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
      ...@@ -27,10 +28,11 @@ DEBUG = True ...@@ -27,10 +28,11 @@ DEBUG = True
      ALLOWED_HOSTS = [] ALLOWED_HOSTS = []
      # Application definition # Application definition
      INSTALLED_APPS = [ INSTALLED_APPS = [
      'mobileapp',
      'background_task',
      'django.contrib.admin', 'django.contrib.admin',
      'django.contrib.auth', 'django.contrib.auth',
      'django.contrib.contenttypes', 'django.contrib.contenttypes',
      ...@@ -38,13 +40,12 @@ INSTALLED_APPS = [ ...@@ -38,13 +40,12 @@ INSTALLED_APPS = [
      'django.contrib.messages', 'django.contrib.messages',
      'django.contrib.staticfiles', 'django.contrib.staticfiles',
      'rest_framework', 'rest_framework',
      'mobileapp',
      'rest_framework.authtoken', 'rest_framework.authtoken',
      'rest_auth', 'rest_auth',
      'django.contrib.sites', 'django.contrib.sites',
      'allauth', 'allauth',
      'allauth.account', 'allauth.account',
      'rest_auth.registration', 'rest_auth.registration'
      ] ]
      EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend' EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
      SITE_ID = 1 SITE_ID = 1
      ...@@ -64,9 +65,7 @@ ROOT_URLCONF = 'WalkingPatternRecognition.urls' ...@@ -64,9 +65,7 @@ ROOT_URLCONF = 'WalkingPatternRecognition.urls'
      TEMPLATES = [ TEMPLATES = [
      { {
      'BACKEND': 'django.template.backends.django.DjangoTemplates', 'BACKEND': 'django.template.backends.django.DjangoTemplates',
      'DIRS': [ 'DIRS': [os.path.join(BASE_DIR, 'templates')],
      os.path.join(BASE_DIR, 'reactapp/build')
      ],
      'APP_DIRS': True, 'APP_DIRS': True,
      'OPTIONS': { 'OPTIONS': {
      'context_processors': [ 'context_processors': [
      ...@@ -109,7 +108,6 @@ REST_FRAMEWORK = { ...@@ -109,7 +108,6 @@ REST_FRAMEWORK = {
      } }
      # Password validation # Password validation
      # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators
      ...@@ -147,9 +145,12 @@ USE_TZ = True ...@@ -147,9 +145,12 @@ USE_TZ = True
      # https://docs.djangoproject.com/en/3.0/howto/static-files/ # https://docs.djangoproject.com/en/3.0/howto/static-files/
      STATIC_URL = '/static/' STATIC_URL = '/static/'
      LOGIN_REDIRECT_URL = '/'
      STATICFILES_DIRS = [ STATICFILES_DIRS = [
      os.path.join(BASE_DIR, 'reactapp/build/static')
      ] ]
      # 'ENGINE': 'django.db.backends.sqlite3', # 'ENGINE': 'django.db.backends.sqlite3',
      # 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), # 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
      \ No newline at end of file
      WalkingPatternRecognition/WalkingPatternRecognition/urls.py
      View file @ 745d5d36
      ...@@ -19,7 +19,9 @@ from rest_framework.authtoken import views ...@@ -19,7 +19,9 @@ from rest_framework.authtoken import views
      urlpatterns = [ urlpatterns = [
      path('admin/', admin.site.urls), 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-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 django.contrib import admin
      from .models import Dog from .models import Dog
      from .models import MotionActivity
      from .models import MotionActivityPerDay from .models import MotionActivityPerDay
      # Register your models here. # Register your models here.
      admin.site.register(Dog) admin.site.register(Dog)
      admin.site.register(MotionActivity)
      admin.site.register(MotionActivityPerDay) admin.site.register(MotionActivityPerDay)
      WalkingPatternRecognition/mobileapp/apps.py
      View file @ 745d5d36
      from django.apps import AppConfig from django.apps import AppConfig
      def Hello():
      print("Hellooo")
      class MobileappConfig(AppConfig): class MobileappConfig(AppConfig):
      name = 'mobileapp' 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 import django
      from django.db import models from django.db import models
      from django.utils import timezone from django.utils import timezone
      from django.conf import settings from django.contrib.auth.models import User
      class Dog(models.Model): class Dog(models.Model):
      GENDER_TYPES = (
      ('M', 'Male'),
      ('F', 'Female'),
      ('U', 'Unknown'),
      )
      name = models.CharField(max_length=50) name = models.CharField(max_length=50)
      age = models.IntegerField() birthday = models.DateField()
      breed = models.CharField(max_length=10) 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): def __str__(self):
      return self.name return self.name
      class MotionActivity(models.Model): class Activity(models.Model):
      dog = models.ForeignKey(Dog, on_delete=models.CASCADE) name = models.CharField(max_length=10)
      date = models.DateField(default=django.utils.timezone.now) activity_id = models.IntegerField()
      time = models.TimeField(default=django.utils.timezone.now)
      activity = models.CharField(max_length=50)
      def __str__(self): def __str__(self):
      return str(self.dog) "{}".format(self.name)
      class MotionActivityPerDay(models.Model): 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) 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() timePeriod = models.IntegerField()
      def __str__(self): 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 import serializers
      from rest_framework.validators import UniqueTogetherValidator from rest_framework.validators import UniqueTogetherValidator
      from django.contrib.auth.models import User from django.contrib.auth.models import User
      from .models import Dog, MotionActivity, MotionActivityPerDay from .models import Dog, MotionActivityPerDay,Activity
      class UserSerializer(serializers.ModelSerializer): class UserSerializer(serializers.ModelSerializer):
      ...@@ -31,20 +31,21 @@ class DogSerializer(serializers.ModelSerializer): ...@@ -31,20 +31,21 @@ class DogSerializer(serializers.ModelSerializer):
      class Meta: class Meta:
      model = Dog model = Dog
      fields = ('id', 'name', 'breed', 'age') fields = ('name', 'birthday', 'breed', 'gender', 'user')
      class MotionActivitySerializer(serializers.ModelSerializer): class ActivitySerializer(serializers.ModelSerializer):
      class Meta: class Meta:
      model = MotionActivity model = Activity
      fields = ('dog', 'date', 'time', 'activity') fields = ('name', 'activity_id')
      class MotionActivityPerDaySerializer(serializers.ModelSerializer): class MotionActivityPerDaySerializer(serializers.ModelSerializer):
      class Meta: class Meta:
      model = MotionActivityPerDay 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 django.urls import include, path
      from . import views from . import views
      from .views import UserRecordView,add_motion from .views import UserRecordView
      app_name = 'api' app_name = 'api'
      urlpatterns = [ urlpatterns = [
      path('welcome/', views.welcome),
      path('', views.index, name='index'),
      path('register', views.register, name='register'),
      path('user/', UserRecordView.as_view(), name='users'), path('user/', UserRecordView.as_view(), name='users'),
      path('addMotionActivity', views.add_motion),
      path('addMotionActivityPerDay', views.add_motionActivityPerDay),
      path('dogs/', views.DogList.as_view()), path('dogs/', views.DogList.as_view()),
      path('motionActivity/', views.MotionActivityList.as_view()), path('addDogProfile', views.add_DogProfile),
      path('motionActivityPerDay/', views.MotionActivityPerDayList.as_view()), 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.core.exceptions import ObjectDoesNotExist
      from django.shortcuts import render from django.http import JsonResponse, HttpResponse
      from django.http import HttpResponse, JsonResponse
      from django.shortcuts import get_object_or_404
      from django.views.decorators.csrf import csrf_exempt from django.views.decorators.csrf import csrf_exempt
      from rest_framework.decorators import api_view
      from rest_framework.views import APIView from rest_framework.views import APIView
      from rest_framework.response import Response from rest_framework.response import Response
      from rest_framework import status from rest_framework import status
      import json 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 def index(request):
      from rest_framework.permissions import IsAuthenticated, IsAdminUser Method()
      from django.contrib.auth.models import User return render(request, 'user_example/index.html')
      from .serializers import UserSerializer
      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): class UserRecordView(APIView):
      ...@@ -44,13 +71,7 @@ class UserRecordView(APIView): ...@@ -44,13 +71,7 @@ class UserRecordView(APIView):
      status=status.HTTP_400_BAD_REQUEST status=status.HTTP_400_BAD_REQUEST
      ) )
      # DOGS
      @api_view(["GET"])
      @csrf_exempt
      @permission_classes([IsAuthenticated])
      def welcome(request):
      content = {"message": "Welcome to the Doggy App!"}
      return JsonResponse(content)
      class DogList(APIView): class DogList(APIView):
      ...@@ -63,63 +84,153 @@ class DogList(APIView): ...@@ -63,63 +84,153 @@ class DogList(APIView):
      pass pass
      class MotionActivityList(APIView): @api_view(["POST"])
      def get(self, request): @csrf_exempt
      activities = MotionActivity.objects.all() @permission_classes([IsAuthenticated])
      serializer = MotionActivitySerializer(activities, many=True) def add_DogProfile(request):
      return Response(serializer.data) 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"]) @api_view(["POST"])
      @csrf_exempt @csrf_exempt
      # @permission_classes([IsAuthenticated]) @permission_classes([IsAuthenticated])
      def add_motion(request): def add_Activity(request):
      payload = json.loads(request.body) payload = json.loads(request.body)
      try: try:
      motion = MotionActivity.objects.create( activity = Activity.objects.create(
      date=payload["date"], name=payload["name"],
      time=payload["time"], activity_id=payload["activity_id"],
      activity=payload["activity"],
      dog=payload["dog"]
      ) )
      serializer = MotionActivitySerializer(motion) serializer = ActivitySerializer(activity)
      return JsonResponse({'motions': serializer.data}, safe=False, status=status.HTTP_201_CREATED) return JsonResponse({'activity': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      except ObjectDoesNotExist as e: except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND) return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception: except Exception:
      return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"]) return JsonResponse({'error': 'Something terrible went wrong'}, safe=False, status=status.HTTP_500_INTERNAL_SERVER_ERROR)@api_view(["POST"])
      class MotionActivityPerDayList(APIView): # MOTION ACTIVITY PER DAY
      def get(self, request):
      activities = MotionActivityPerDay.objects.all()
      serializer = MotionActivityPerDaySerializer(activities, many=True)
      return Response(serializer.data)
      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"]) @api_view(["POST"])
      @csrf_exempt @csrf_exempt
      # @permission_classes([IsAuthenticated]) @permission_classes([IsAuthenticated])
      def add_motionActivityPerDay(request): def add_motionActivityPerDay(request):
      payload = json.loads(request.body) payload = json.loads(request.body)
      user = request.user
      dog = Dog.objects.get(id=payload["dog"])
      activity = Activity.objects.get(activity_id=payload["activity"])
      try: try:
      motion = MotionActivity.objects.create( motion = MotionActivityPerDay.objects.create(
      user=user,
      dog=dog,
      date=payload["date"], date=payload["date"],
      timePeriod=payload["timePeriod"], activity=activity,
      activity=payload["activity"], timePeriod=payload["timePeriod"]
      dog=payload["dog"]
      ) )
      serializer = MotionActivitySerializer(motion) serializer = MotionActivityPerDaySerializer(motion)
      return JsonResponse({'motions': serializer.data}, safe=False, status=status.HTTP_201_CREATED) return JsonResponse({'motions': serializer.data}, safe=False, status=status.HTTP_201_CREATED)
      except ObjectDoesNotExist as e: except ObjectDoesNotExist as e:
      return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND) return JsonResponse({'error': str(e)}, safe=False, status=status.HTTP_404_NOT_FOUND)
      except Exception: 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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