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Dockerfile

@@ -1,13 +1,17 @@
-FROM nginx:alpine
+FROM python:3.9-slim
 
-# Copy all files to the NGINX html directory
-COPY . /usr/share/nginx/html/
+WORKDIR /app
 
-# Set proper permissions
-RUN chmod -R 755 /usr/share/nginx/html
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Expose port 7860
+COPY . .
+
+# Create directories if they don't exist
+RUN mkdir -p templates static
+
+# Expose the port that Flask will run on
 EXPOSE 7860
 
-# Start NGINX
-CMD ["nginx", "-g", "daemon off;"]
+# Command to run the Flask app
+CMD ["python", "app.py"]

app.py

@@ -0,0 +1,63 @@
+from flask import Flask, render_template, jsonify
+import requests
+import json
+
+app = Flask(__name__)
+
+API_URL = "https://badimo.nyc3.digitaloceanspaces.com/trade/frequency/snapshot/month/latest.json"
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/api/data')
+def get_data():
+    try:
+        response = requests.get(API_URL)
+        response.raise_for_status()
+        data = response.json()
+        
+        # Add additional derived metrics
+        for item in data:
+            item['RarityScore'] = round(item['TimesTraded'] / item['UniqueCirculation'] if item['UniqueCirculation'] > 0 else 0, 2)
+        
+        return jsonify(data)
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+@app.route('/api/stats')
+def get_stats():
+    try:
+        response = requests.get(API_URL)
+        response.raise_for_status()
+        data = response.json()
+        
+        # Generate stats by type
+        stats_by_type = {}
+        for item in data:
+            item_type = item['Type']
+            if item_type not in stats_by_type:
+                stats_by_type[item_type] = {
+                    'count': 0,
+                    'totalTraded': 0,
+                    'totalCirculation': 0,
+                    'averageDemand': 0
+                }
+            
+            stats_by_type[item_type]['count'] += 1
+            stats_by_type[item_type]['totalTraded'] += item['TimesTraded']
+            stats_by_type[item_type]['totalCirculation'] += item['UniqueCirculation']
+        
+        # Calculate averages
+        for type_key in stats_by_type:
+            if stats_by_type[type_key]['totalCirculation'] > 0:
+                stats_by_type[type_key]['averageDemand'] = round(
+                    stats_by_type[type_key]['totalTraded'] / stats_by_type[type_key]['totalCirculation'], 2
+                )
+        
+        return jsonify(stats_by_type)
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860, debug=True)

requirements.txt

@@ -0,0 +1,3 @@
+flask==2.2.3
+requests==2.28.2
+gunicorn==20.1.0