Merge pull request #1 from aachintya/my-feature-branch

Added next 5 points prediction and added CSS

.gitignore

@@ -1 +1,32 @@
-.env
+# Python
+*.pyc
+__pycache__/
+*.pyo
+*.pyd
+
+# Virtual environment
+venv/
+
+# Database
+db.sqlite3
+
+# Local settings
+local_settings.py
+
+# Media and static files
+/media/
+/static/
+
+# Log files
+*.log
+
+# Environment variables
+.env
+
+# IDE files
+.vscode/
+.idea/
+
+# OS files
+.DS_Store
+Thumbs.db

analyzer/extract_graph_data.py

@@ -1,5 +1,6 @@
 import cv2
 import numpy as np
+from scipy import stats
 
 def extract_graph_data(image_path):
     # Read the image
@@ -26,4 +27,22 @@ def analyze_data(data_points):
     maxima = np.argmax(data_points, axis=0)
     minima = np.argmin(data_points, axis=0)
 
-    return minima, maxima
+    return minima, maxima
+
+def predict_next_points(data_points, num_predictions=5):
+    # Convert data points to a time series (assuming equal time intervals)
+    x = np.arange(len(data_points))
+    y = data_points[:, 1]  # Assuming y-coordinates represent the data values
+
+    # Perform linear regression
+    slope, intercept, _, _, _ = stats.linregress(x, y)
+
+    # Predict next points
+    last_x = len(data_points)
+    predicted_points = []
+    for i in range(num_predictions):
+        next_x = last_x + i + 1
+        next_y = slope * next_x + intercept
+        predicted_points.append((next_x, next_y))
+
+    return predicted_points

analyzer/views.py

@@ -1,6 +1,6 @@
 from django.shortcuts import render
 from .forms import GraphUploadForm
-from .extract_graph_data import extract_graph_data, analyze_data
+from .extract_graph_data import extract_graph_data, analyze_data, predict_next_points
 import os
 from graph_analyzer.settings import BASE_DIR
 
@@ -19,13 +19,14 @@ def upload_image(request):
             # Process image and get graph data
             data_points = extract_graph_data(image_path)
             minima, maxima = analyze_data(data_points)
+            predicted_points = predict_next_points(data_points)
 
             context = {
                 'minima': minima,
-                'maxima': maxima
+                'maxima': maxima,
+                'predicted_points': predicted_points
             }
             return render(request, 'analyzer/index.html', context)
     else:
         form = GraphUploadForm()
-    return render(request, 'analyzer/index.html', {'form': form})
-
+    return render(request, 'analyzer/index.html', {'form': form})

graph_analyzer/settings.py

@@ -158,7 +158,7 @@
 ACCOUNT_AUTHENTICATION_METHOD='username_email'
 ACCOUNT_EMAIL_CONFIRMATION_EXPIRE_DAYS=10
 ACCOUNT_EMAIL_REQUIRED=True
-ACCOUNT_EMAIL_VERIFICATION='None'
+ACCOUNT_EMAIL_VERIFICATION='optional'
 
 ACCOUNT_FORMS = {
 'signup': 'stellarledger.forms.CustomSignupForm',

graph_analyzer/urls.py

@@ -16,8 +16,14 @@
 """
 from django.contrib import admin
 from django.urls import path, include
+from django.conf import settings
+from django.conf.urls.static import static
 
 urlpatterns = [
     path("admin/", admin.site.urls),
     path("", include("analyzer.urls")),
 ]
+
+if settings.DEBUG:
+    urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
+    urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

requirements.txt

@@ -1,17 +1,17 @@
-Django==5.0.3
-django-admin-sortable2==1.0.4
-django-allauth==0.61.1
-django-cors-headers==4.3.1
-django-countries==7.5.1
-django-timezone-field==6.1.0
-google-api-core==2.11.0
-google-api-python-client==2.37.0
-google-auth==2.16.2
-google-auth-httplib2==0.1.0
-numpy==1.26.4
-oauth2client==4.1.3
-oauthlib==3.2.2
-opencv-python==4.9.0.80
-pandas==2.2.1
-pip-tools==6.12.1
-virtualenv==20.20.0
+asgiref==3.8.1
+certifi==2024.8.30
+cffi==1.17.1
+charset-normalizer==3.4.0
+cryptography==43.0.3
+Django==5.1.2
+django-allauth==65.0.2
+idna==3.10
+numpy==2.1.2
+opencv-python==4.10.0.84
+pillow==11.0.0
+pycparser==2.22
+PyJWT==2.9.0
+python-dotenv==1.0.1
+requests==2.32.3
+sqlparse==0.5.1
+urllib3==2.2.3

templates/analyzer/index.html

@@ -1,19 +1,71 @@
+{% load static %}
 <!DOCTYPE html>
 <html lang="en">
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Document</title>
+    <title>Graph Analyzer</title>
+    <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700&display=swap" rel="stylesheet">
+    <link rel="stylesheet" href="{% static 'css/graph_analyzer_styles.css' %}">
 </head>
 <body>
-    <form method="post" enctype="multipart/form-data">
-        {% csrf_token %}
-        {{ form.as_p }}
-        <input type="submit" value="Submit">
-    </form>
-    <h2>Graph Analysis Results</h2>
-    <p>Minima: {{ minima }}</p>
-    <p>Maxima: {{ maxima }}</p>
+    <header>
+        <div class="container">
+            <h1>Graph Analyzer</h1>
+        </div>
+    </header>
 
+    <main class="container">
+        <section class="form-section">
+            <form method="post" enctype="multipart/form-data">
+                {% csrf_token %}
+                <div class="file-input-wrapper">
+                    <label for="{{ form.image.id_for_label }}">Choose an image file:</label>
+                    <span class="btn">Select File</span>
+                    {{ form.image }}
+                    <span class="file-name">No file chosen</span>
+                </div>
+                <button type="submit" class="submit-btn">Upload and Analyze</button>
+            </form>
+        </section>
+
+        {% if minima is not None and maxima is not None %}
+            <section class="results">
+                <h2>Graph Analysis Results</h2>
+                <div class="result-detail">
+                    <p><span class="result-label">Minima:</span> {{ minima }}</p>
+                    <p><span class="result-label">Maxima:</span> {{ maxima }}</p>
+                </div>
+            </section>
+        {% endif %}
+
+        {% if predicted_points %}
+            <section class="results">
+                <h2>Predicted Next 5 Points</h2>
+                <ul class="predicted-points">
+                    {% for point in predicted_points %}
+                        <li>
+                            <span class="result-label">Point {{ forloop.counter }}:</span>
+                            <span>X: {{ point.0 }},</span>
+                            <span>Y: {{ point.1|floatformat:2 }}</span>
+                        </li>
+                    {% endfor %}
+                </ul>
+            </section>
+        {% endif %}
+    </main>
+
+    <footer>
+        <div class="container">
+            <p>&copy; 2024 Graph Analyzer. All rights reserved.</p>
+        </div>
+    </footer>
+
+    <script>
+        document.querySelector('input[type="file"]').addEventListener('change', function(e) {
+            var fileName = e.target.files[0].name;
+            document.querySelector('.file-name').textContent = fileName;
+        });
+    </script>
 </body>
 </html>