Andisha branch

backend/app.py

@@ -1,46 +1,43 @@
-import json
-import os
-from flask import Flask, render_template, request
-from flask_cors import CORS
-from helpers.MySQLDatabaseHandler import MySQLDatabaseHandler
-import pandas as pd
-
-# ROOT_PATH for linking with all your files. 
-# Feel free to use a config.py or settings.py with a global export variable
-os.environ['ROOT_PATH'] = os.path.abspath(os.path.join("..",os.curdir))
-
-# Get the directory of the current script
-current_directory = os.path.dirname(os.path.abspath(__file__))
-
-# Specify the path to the JSON file relative to the current script
-json_file_path = os.path.join(current_directory, 'init.json')
-
-# Assuming your JSON data is stored in a file named 'init.json'
-with open(json_file_path, 'r') as file:
-    data = json.load(file)
-    episodes_df = pd.DataFrame(data['episodes'])
-    reviews_df = pd.DataFrame(data['reviews'])
+import subprocess
+import threading
+import time
+from flask import Flask, render_template
+import requests
 
 app = Flask(__name__)
-CORS(app)
-
-# Sample search using json with pandas
-def json_search(query):
-    matches = []
-    merged_df = pd.merge(episodes_df, reviews_df, left_on='id', right_on='id', how='inner')
-    matches = merged_df[merged_df['title'].str.lower().str.contains(query.lower())]
-    matches_filtered = matches[['title', 'descr', 'imdb_rating']]
-    matches_filtered_json = matches_filtered.to_json(orient='records')
-    return matches_filtered_json
-
-@app.route("/")
-def home():
-    return render_template('base.html',title="sample html")
-
-@app.route("/episodes")
-def episodes_search():
-    text = request.args.get("title")
-    return json_search(text)
-
-if 'DB_NAME' not in os.environ:
-    app.run(debug=True,host="0.0.0.0",port=5000)
+
+# Function to check if Streamlit is running
+def check_streamlit():
+    try:
+        response = requests.get("http://10.48.49.54:8501")
+        return response.status_code == 200
+    except requests.ConnectionError:
+        return False
+
+# Function to run Streamlit in a separate thread
+def run_streamlit():
+    subprocess.run(["streamlit", "run", "streamlit_app.py"])
+
+# Start Streamlit in the background and ensure it starts before rendering Flask page
+@app.before_request
+def before_first_request():
+    # Start Streamlit in a separate thread
+    threading.Thread(target=run_streamlit, daemon=True).start()
+
+    # Wait for Streamlit to be available
+    while not check_streamlit():
+        time.sleep(1)  # Check every second
+
+@app.route('/')
+def index():
+    # Ensure Streamlit is available before loading the page
+    return render_template('streamlit_embed.html')
+#
+
+if __name__ == '__main__':
+    app.run(debug=True, use_reloader=False)  # `use_reloader=False` to avoid restarting Flask server when Streamlit starts
+
+
+## currently the html file is loading form the localhost port 8501, 
+# and then you should change it to the server backend. 
+# the server backend can be found in the server site and not the local host.