Changed TherapyNow to PeerSupport

.gitignore

@@ -139,4 +139,4 @@ dmypy.json
 *.code-workspace
 .vs/PythonSettings.json
 .vs/slnx.sqlite
-.vs/TherapyNow/v16/.suo
+.vs/PeerSupport/v16/.suo

README.md

@@ -1,10 +1,10 @@
-![text](https://github.com/IanSteenstra/TherapyNow/blob/master/frontend/src/images/logo-hori.jpg)
+![text](https://github.com/IanSteenstra/PeerSupport/blob/master/frontend/src/images/logo-hori.jpg)
 
-# TherapyNow
+# PeerSupport
 
 ## Summary
 
-TherapyNow is an anonymous peer-support web application that provides easy access for college students to get the help they need in a safe and reliable manner.
+PeerSupport is an anonymous peer-support web application that provides easy access for college students to get the help they need in a safe and reliable manner.
 
 ## Run Codebase
 
@@ -18,7 +18,7 @@ TherapyNow is an anonymous peer-support web application that provides easy acces
 ## Issue Running Codebase / Servers Not Working
 
 1. In another terminal while the servers are still running, enter `docker ps`
-1. Find the Container ID for the therapynow_django server (ex: db54a724e9a4)
+1. Find the Container ID for the peersupport_django server (ex: db54a724e9a4)
 1. Run `docker exec -it <container ID> bash`
 1. `python manage.py migrate`
 

archive/research/preprocessing/personality_quiz_preprocessing.py

@@ -8,4 +8,4 @@
 
 df[cat_columns] = df[cat_columns].apply(lambda x: x.cat.codes)
 
-df.to_csv(r'C:\Users\steeni\Documents\Github\TherapyNow\research\training\processed_personality_quiz_responses.csv')
+df.to_csv(r'C:\Users\steeni\Documents\Github\PeerSupport\research\training\processed_personality_quiz_responses.csv')

archive/research/suicidal_ideation_detection.ipynb

@@ -12,20 +12,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\steen\\Anaconda3\\lib\\site-packages\\sklearn\\externals\\joblib\\__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.\n",
-      "  warnings.warn(msg, category=DeprecationWarning)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
+    "import joblib\n",
     "import numpy as np\n",
     "from textblob import TextBlob as tb\n",
     "import nltk\n",
@@ -38,21 +30,13 @@
     "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report, r2_score\n",
     "from nltk.corpus import wordnet as wn\n",
     "from sklearn import preprocessing\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
+    "# import matplotlib.pyplot as plt\n",
+    "# import seaborn as sns\n",
     "from sklearn.model_selection import GridSearchCV\n",
     "import pickle\n",
-    "from sklearn.externals import joblib\n",
     "from gensim.models import FastText"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Data Preprocessing"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -63,7 +47,7 @@
    "source": [
     "data = pd.DataFrame(columns=('text', 'suicidal_ideation'))\n",
     "for i in range(10):\n",
-    "    data = pd.concat([data, pd.read_csv('annotated_data'+str(i)+'.csv')], sort=False)"
+    "    data = pd.concat([data, pd.read_csv('suicidal-ideation-datasets/annotated_data'+str(i)+'.csv')], sort=False)"
    ]
   },
   {
@@ -743,9 +727,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7-final"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

backend/Dockerfile

@@ -2,18 +2,18 @@ FROM python:3.7.7
 
 RUN apt-get update \
     && apt-get install -y --no-install-recommends \
-        postgresql-client \
+    postgresql-client \
     && rm -rf /var/lib/apt/lists/*
 
 ENV PYTHONDONTWRITEBYTECODE 1
 ENV PYTHONUNBUFFERED 1
 
-WORKDIR /therapynow/backend
+WORKDIR /peersupport/backend
 RUN pip install --upgrade pip
-COPY requirements.txt /therapynow/backend
+COPY requirements.txt /peersupport/backend
 RUN pip install -r requirements.txt
 
-COPY . /therapynow/backend/
+COPY . /peersupport/backend/
 
 EXPOSE 8000
 CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]

backend/NLP-models/suicidal-ideation.py

@@ -1,9 +1,45 @@
 import pandas as pd
 import numpy as np
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn import preprocessing
+import re
+import joblib
+import os
+
 
 class SuicidalIdeationModel:
-    def __init__(self, content):
-        self.content = content
-
+    def __init__(self, text):
+        dir_path = os.path.dirname(os.path.realpath(__file__))
+
+        self.text = text
+        self.model = joblib.load(dir_path + '\\suicidal_classifier.pkl')
+
     def predict(self):
-        return len(self.content)
+        dir_path = os.path.dirname(os.path.realpath(__file__))
+
+        data = pd.DataFrame(columns=('text', 'suicidal_ideation'))
+        for i in range(10):
+            data = pd.concat(
+                [data, pd.read_csv(dir_path + '\\datasets\\annotated_data'+str(i)+'.csv')], sort=False)
+
+        X = data['text']
+        X = X.apply(lambda text: re.sub(r"http\S+", "", text).lower())
+
+        text = pd.DataFrame({'text': [self.text]})
+
+        print(text)
+        # tfidf = TfidfVectorizer(analyzer='word', ngram_range=(1, 2))
+        # features = pd.DataFrame(tfidf.fit_transform([self.text]).toarray())
+        # print(features)
+        # features = features.values
+        # min_max_scaler = preprocessing.MinMaxScaler()
+        # features_scaled = min_max_scaler.fit_transform(features)
+        # features = pd.DataFrame(features_scaled)
+        # prediction = self.model.predict(features)
+        # return prediction
+
+
+if __name__ == '__main__':
+    content = 'I want to die'
+    s = SuicidalIdeationModel(content)
+    print(s.predict())

backend/TherapyNow/asgi.py → backend/PeerSupport/asgi.py

@@ -1,5 +1,5 @@
 """
-ASGI config for TherapyNow project.
+ASGI config for PeerSupport project.
 
 It exposes the ASGI callable as a module-level variable named ``application``.
 
@@ -12,6 +12,6 @@
 from django.core.asgi import get_asgi_application
 from channels.routing import get_default_application
 
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'TherapyNow.settings')
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'PeerSupport.settings')
 django.setup()
 application = get_default_application()

backend/TherapyNow/settings.py → backend/PeerSupport/settings.py

@@ -1,5 +1,5 @@
 """
-Django settings for TherapyNow project.
+Django settings for PeerSupport project.
 
 Generated by 'django-admin startproject' using Django 3.0.2.
 
@@ -44,7 +44,7 @@
     'chat',
     'message',
     'events',
-    'Profile',
+    'profile',
     'django.contrib.admin',
     'django.contrib.auth',
     'django.contrib.contenttypes',
@@ -79,7 +79,7 @@
     'django.middleware.clickjacking.XFrameOptionsMiddleware',
 ]
 
-ROOT_URLCONF = 'TherapyNow.urls'
+ROOT_URLCONF = 'PeerSupport.urls'
 TEMPLATES_ROOT = os.path.join(BASE_DIR, "templates")
 TEMPLATES = [
     {
@@ -97,7 +97,7 @@
     },
 ]
 
-ASGI_APPLICATION = 'TherapyNow.routing.application'
+ASGI_APPLICATION = 'PeerSupport.routing.application'
 
 CHANNEL_LAYERS = {
     'default': {

backend/TherapyNow/urls.py → backend/PeerSupport/urls.py

@@ -3,7 +3,7 @@
 from rest_framework import routers
 from allauth.account.views import ConfirmEmailView
 from rest_framework.authtoken.views import obtain_auth_token
-from Profile.views import null_view, getUserEmail, complete_view, ProfileViewSet, PreStudyQuizViewSet, PostStudyQuizViewSet, WeekPostStudyQuizViewSet, UserQuizViewSet, CounselorQuizViewSet, ResearchQuizViewSet, get_chats, get_friends, validate_user_group
+from profile.views import null_view, getUserEmail, complete_view, ProfileViewSet, PreStudyQuizViewSet, PostStudyQuizViewSet, WeekPostStudyQuizViewSet, UserQuizViewSet, CounselorQuizViewSet, ResearchQuizViewSet, get_chats, get_friends, validate_user_group
 from events.views import EventViewSet
 from chat.views import ChatViewSet
 from message.views import MessageFlagViewSet

backend/TherapyNow/wsgi.py → backend/PeerSupport/wsgi.py

@@ -1,5 +1,5 @@
 """
-WSGI config for TherapyNow project.
+WSGI config for PeerSupport project.
 
 It exposes the WSGI callable as a module-level variable named ``application``.
 
@@ -11,6 +11,6 @@
 
 from django.core.wsgi import get_wsgi_application
 
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'TherapyNow.settings')
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'PeerSupport.settings')
 
 application = get_wsgi_application()

backend/Profile/__init__.py

@@ -1 +1 @@
-default_app_config = 'Profile.apps.ProfileConfig'
+default_app_config = 'profile.apps.ProfileConfig'

backend/Profile/apps.py

@@ -2,7 +2,7 @@
 
 
 class ProfileConfig(AppConfig):
-  name = 'Profile'
+    name = 'profile'
 
-  def ready(self):
-    import Profile.signals
+    def ready(self):
+        import profile.signals