Make it able to launch by gunicorn

Author: user

backend/app/main.py

@@ -1,7 +1,7 @@
 from flask import Flask, jsonify, request
 from flask_cors import CORS
-from app.services.topic_service import TopicService
-from app.services.ai_service import AITopicProcessor
+from services.topic_service import TopicService
+from services.ai_service import AITopicProcessor
 
 app = Flask(__name__)
 CORS(app, resources={
@@ -77,4 +77,4 @@ def home():
     print("Starting Flask server...")
     port = 5002
     print(f"Server running on: http://127.0.0.1:{port}")
-    app.run(host='127.0.0.1', port=port, debug=True) 
+    app.run(host='127.0.0.1', port=port, debug=True) 

backend/app/services/topic_service.py

@@ -1,6 +1,6 @@
 from collections import Counter
 import duckdb
-from app.utils.cache import get_cached_topics, save_cached_topics
+from utils.cache import get_cached_topics, save_cached_topics
 import os
 
 class TopicService:
@@ -13,7 +13,7 @@ class TopicService:
     }
 
     def __init__(self):
-        db_path = '../public/data/github_meta.duckdb'
+        db_path = '../../public/data/github_meta.duckdb'
 
         # Check if database exists
         if os.path.exists(db_path):
@@ -82,4 +82,4 @@ def process_topics(self, search_term: str):
                 "success": False,
                 "error": str(e),
                 "message": "An error occurred while processing the request"
-            } 
+            } 

backend/app/utils/cache.py

@@ -2,15 +2,15 @@
 import json
 
 def get_cached_topics(search_term):
-    cache_file = Path('../public/data/cached_topics') / f"{search_term}.json"
+    cache_file = Path('../../public/data/cached_topics') / f"{search_term}.json"
     if cache_file.exists():
         with open(cache_file, 'r') as f:
             return json.load(f)
     return None
 
 def save_cached_topics(search_term, topics_data):
-    cache_dir = Path('../public/data/cached_topics')
+    cache_dir = Path('../../public/data/cached_topics')
     cache_dir.mkdir(exist_ok=True)
     cache_file = cache_dir / f"{search_term}.json"
     with open(cache_file, 'w') as f:
-        json.dump(topics_data, f) 
+        json.dump(topics_data, f)