# import os
# from flask import Flask, render_template, request, jsonify, send_from_directory
# from dotenv import load_dotenv
# from supabase import create_client, Client
# import openai

# app = Flask(__name__)

# # Load environment variables
# load_dotenv()
# SUPABASE_URL = os.getenv("SUPABASE_URL")
# SUPABASE_KEY = os.getenv("SUPABASE_KEY")

# # Initialize Supabase client
# supabase = create_client(SUPABASE_URL, SUPABASE_KEY)

# @app.route('/')
# def index():
#     return send_from_directory(os.path.join(app.root_path, 'static'), 'index.html')

# @app.route('/login', methods=['POST'])
# def login():
#     data = request.get_json()
#     email = data['email']
#     password = data['password']
    
#     # Replace with actual login logic using Supabase or another method
#     try:
#         user = supabase.auth.sign_in(email=email, password=password)
#         return jsonify({
#             "message": "Login successful",
#             "user_id": user.id
#         })
#     except Exception as e:
#         return jsonify({"message": f"Login failed: {e}"}), 400

# @app.route('/signup', methods=['POST'])
# def signup():
#     data = request.get_json()
#     email = data['email']
#     password = data['password']
    
#     # Replace with actual signup logic using Supabase or another method
#     try:
#         user = supabase.auth.sign_up(email=email, password=password)
#         return jsonify({"message": "Signup successful"})
#     except Exception as e:
#         return jsonify({"message": f"Signup failed: {e}"}), 400

# @app.route('/chat', methods=['POST'])
# def chat():
#     data = request.get_json()
#     message = data['message']
#     chat_history = data.get('history', [])
    
#     # Add your chatbot logic here (using OpenAI or another API)
#     response = "This is a placeholder response"  # Replace with chatbot response logic
#     chat_history.append(f"User: {message}")
#     chat_history.append(f"Bot: {response}")

#     return jsonify({
#         "bot_response": response,
#         "history": chat_history
#     })

# if __name__ == '__main__':
#     app.run(debug=True, host='0.0.0.0', port=7860)
# import os
# from flask import Flask, send_from_directory, request, redirect, url_for, session
# from supabase import create_client
# import openai
# from dotenv import load_dotenv
# import json
# from json import jsonify

# # Load environment variables
# load_dotenv()

# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# SUPABASE_URL = os.getenv("SUPABASE_URL")
# SUPABASE_KEY = os.getenv("SUPABASE_KEY")

# # Initialize OpenAI and Supabase clients
# openai.api_key = OPENAI_API_KEY
# supabase = create_client(SUPABASE_URL, SUPABASE_KEY)

# # Flask app setup
# app = Flask(__name__)
# app.secret_key = os.getenv('FLASK_SECRET_KEY')

# # Global variables
# required_slots = {
#     "patient_name": "May I know your full name?",
#     "date_of_birth": "What is your date of birth?",
#     "country_of_birth": "Where were you born?",
#     "sex": "What is your biological sex?",
#     "gender": "What gender do you identify as?",
#     "race": "What is your racial background?",
#     "school_behavior": "How was your behavior at school?",
#     "school_grades": "How were your grades at school?",
#     "school_failures": "Did you fail any class or year in school?",
#     "school_behavior_issues": "Did you have problems at school due to your behavior?",
#     "education_level": "What is your highest level of education?",
#     "citizenship_status": "What is your citizenship or immigration status?",
#     "marital_status": "What is your current relationship status?",
#     "offsprings": "Do you have children? If yes, how many?",
#     "living_situation": "What is your current living situation?",
#     "employment_status": "What is your employment status?",
#     "income_source": "What is your main source of income?",
#     "legal_issues": "Do you have any history of legal issues?"
# }

# # Routes

# @app.route('/')
# def index():
#     return send_from_directory('static', 'index.html')

# # Signup route
# @app.route('/signup', methods=['POST'])
# def signup():
#     """Handle user signup."""
#     email = request.form.get('email')
#     password = request.form.get('password')
#     try:
#         # Correctly pass email and password as part of the dictionary
#         user = supabase.auth.sign_up({
#             "email": email,
#             "password": password
#         })
#         return redirect(url_for('login'))
#     except Exception as e:
#         return f"Signup failed: {e}"


# @app.route('/login', methods=['GET', 'POST'])
# def login():
#     if request.method == 'POST':
#         email = request.form.get('email')
#         password = request.form.get('password')

#         try:
#             # Attempt to log in with Supabase
#             result = supabase.auth.sign_in_with_password({"email": email, "password": password})
            
#             # Store user_id in session after login
#             session['user_id'] = result.user.id
#             session['user_email'] = result.user.email

#             # Redirect to the chat page after login
#             return redirect(url_for('chat'))

#         except Exception as e:
#             # If login fails, show the error message
#             return f"Login failed: {e}"

#     # For GET request, show the login page
#     return send_from_directory('static', 'login.html')


# @app.route('/chat', methods=['GET', 'POST'])
# def chat():
#     if 'user_id' not in session:  # Check if the user is logged in
#         return redirect(url_for('login'))  # If not, redirect to login page
    
#     # If user is logged in, show the chat page
#     user_id = session.get('user_id')
#     history = []
    
#     if request.method == 'POST':
#         user_message = request.form.get('message')
#         history.append({"role": "user", "content": user_message})

#         # OpenAI API call to get the response from the model
#         response = openai.ChatCompletion.create(
#             model="gpt-4o",
#             messages=history,
#             temperature=0.7
#         )

#         bot_response = response.choices[0].message['content']
#         history.append({"role": "assistant", "content": bot_response})

#         return send_from_directory('static', 'chat.html', 
#             mimetype='text/html', 
#             headers={'history': history, 'user_message': user_message, 'bot_response': bot_response})

#     # Render the chat page
#     return send_from_directory('static', 'chat.html')

# @app.route('/test_session')
# def test_session():
#     return jsonify({"session": dict(session)})

# # Visit `/test_session` in your browser to check session data


# @app.route('/logout')
# def logout():
#     session.clear()  # Clear the session
#     return redirect(url_for('login'))  # Redirect to login after logout


# # Run the app
# if __name__ == "__main__":
#     app.run(debug=True, host='0.0.0.0', port=7860)
# import os
# from flask import Flask, send_from_directory, request, redirect, url_for, session
# from flask_session import Session
# from supabase import create_client
# import openai
# from dotenv import load_dotenv

# # Load environment variables
# load_dotenv()

# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# SUPABASE_URL = os.getenv("SUPABASE_URL")
# SUPABASE_KEY = os.getenv("SUPABASE_KEY")

# # Initialize OpenAI and Supabase clients
# openai.api_key = OPENAI_API_KEY
# supabase = create_client(SUPABASE_URL, SUPABASE_KEY)

# # Flask app setup
# app = Flask(__name__)
# app.secret_key = os.getenv('FLASK_SECRET_KEY')  # Set secret key
# app.config['SESSION_TYPE'] = 'filesystem'  # Use filesystem to store session data
# app.config['SESSION_PERMANENT'] = False # Make the session non-permanent
# Session(app)

# # Global variables (slot filling)
# required_slots = {
#     "patient_name": "May I know your full name?",
#     "date_of_birth": "What is your date of birth?",
#     "country_of_birth": "Where were you born?",
#     "sex": "What is your biological sex?",
#     "gender": "What gender do you identify as?",
#     "race": "What is your racial background?",
#     "school_behavior": "How was your behavior at school?",
#     "school_grades": "How were your grades at school?",
#     "school_failures": "Did you fail any class or year in school?",
#     "school_behavior_issues": "Did you have problems at school due to your behavior?",
#     "education_level": "What is your highest level of education?",
#     "citizenship_status": "What is your citizenship or immigration status?",
#     "marital_status": "What is your current relationship status?",
#     "offsprings": "Do you have children? If yes, how many?",
#     "living_situation": "What is your current living situation?",
#     "employment_status": "What is your employment status?",
#     "income_source": "What is your main source of income?",
#     "legal_issues": "Do you have any history of legal issues?"
# }

# # Routes

# @app.route('/')
# def index():
#     # Welcome page with buttons to Log In and Sign Up
#     return send_from_directory('static', 'index.html')

# @app.route('/signup', methods=['GET', 'POST'])
# def signup():
#     """Handle user signup."""
#     if request.method == 'POST':
#         email = request.form.get('email')
#         password = request.form.get('password')
        
#         try:
#             # Sign up logic with Supabase
#             user = supabase.auth.sign_up({
#                 "email": email,
#                 "password": password
#             })
#             # After successful signup, log in the user and redirect to the chat page
#             session['user_id'] = user.id
#             session['user_email'] = user.email
#             return redirect(url_for('chat'))
#         except Exception as e:
#             return f"Signup failed: {e}"
    
#     # For GET request, show the signup page
#     return send_from_directory('static', 'signup.html')


# @app.route('/login', methods=['GET', 'POST'])
# def login():
#     # """Handle user login."""
#     # if request.method == 'POST':
#     #     email = request.form.get('email')
#     #     password = request.form.get('password')

#     #     try:
#     #         # Attempt to log in with Supabase
#     #         result = supabase.auth.sign_in_with_password({"email": email, "password": password})
            
#     #         # Store user_id in session after login
#     #         session['user_id'] = result.user.id
#     #         session['user_email'] = result.user.email
#     #         print(f"This is Login page User logged in: {session['user_email']}")

#     #         # Redirect to the chat page after successful login
#     #         return redirect(url_for('chat'))

#     #     except Exception as e:
#     #         # If login fails, show the error message
#     #         return f"Login failed: {e}"

#     # # For GET request, show the login page
#     # return send_from_directory('static', 'login.html')
#     """Handle user login."""
#     if request.method == 'POST':
#         email = request.form.get('email')
#         password = request.form.get('password')

#         try:
#             # Attempt to log in with Supabase (using the correct method)
#             result = supabase.auth.sign_in_with_password({"email": email, "password": password})

#             # Check if the login was successful
#             if result.user:
#                 # Store user_id in session after login
#                 session['user_id'] = result.user.id
#                 session['user_email'] = result.user.email

#                 # Debugging: Print session data to check if it's set
#                 print(f"User logged in: {session['user_email']}")
#                 print(f"Session data in login page: {session}")

#                 # Redirect to the chat page after successful login
#                 return redirect(url_for('chat'))
#             else:
#                 return "Invalid credentials, please try again."

#         except Exception as e:
#             return f"Login failed: {e}"
        
#     # For GET request, show the login page
#     return send_from_directory('static', 'login.html')


# # Chat route
# @app.route('/chat', methods=['GET', 'POST'])
# def chat():
#     """Handle chat interactions."""
#     # Check if user is logged in
#     print(f"Checking session for user_id in chat page : {session.get('user_id')}")
#     print(f"Session data in chat page: {session}")
#     # if 'user_id' not in session:
#     #     return redirect(url_for('login'))  # Redirect to login page if not logged in
#     # If user is logged in, show the chat page
#     print(f"User accessing chat: {session.get('user_email')}")
#     user_id = session.get('user_id')
#     history = []
#     if request.method == 'POST':
#         user_message = request.form.get('message')
#         history.append({"role": "user", "content": user_message})

#         # OpenAI API call to get the response from the model
#         response = openai.ChatCompletion.create(
#             model="gpt-4o",
#             messages=history,
#             temperature=0.7
#         )

#         bot_response = response.choices[0].message['content']
#         history.append({"role": "assistant", "content": bot_response})

#         return send_from_directory('static', 'chat.html', 
#             mimetype='text/html', 
#             headers={'history': history, 'user_message': user_message, 'bot_response': bot_response})

#     # Render the chat page
#     return send_from_directory('static', 'chat.html')

# # Logout route
# @app.route('/logout')
# def logout():
#     session.clear()  # Clear the session
#     return redirect(url_for('login'))  # Redirect to login after logout

# # Run the app
# if __name__ == "__main__":
#     app.run(debug=True, host='0.0.0.0', port=7860)
# import os
# from flask import Flask, render_template, request, redirect, url_for, session
# from flask_session import Session
# from supabase import create_client
# import openai
# from dotenv import load_dotenv

# # Load environment variables
# load_dotenv()

# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# SUPABASE_URL = os.getenv("SUPABASE_URL")
# SUPABASE_KEY = os.getenv("SUPABASE_KEY")

# # Initialize OpenAI and Supabase clients
# openai.api_key = OPENAI_API_KEY
# supabase = create_client(SUPABASE_URL, SUPABASE_KEY)

# # Flask app setup
# app = Flask(__name__, static_folder="static", template_folder="templates")
# app.secret_key = os.getenv('FLASK_SECRET_KEY')  # Set secret key
# app.config['SESSION_TYPE'] = 'filesystem'  # Use filesystem to store session data
# app.config['SESSION_PERMANENT'] = False  # Make the session non-permanent
# Session(app)  # Initialize Flask-Session

# # Global variables (slot filling)
# required_slots = {
#     "patient_name": "May I know your full name?",
#     "date_of_birth": "What is your date of birth?",
#     "country_of_birth": "Where were you born?",
#     "sex": "What is your biological sex?",
#     "gender": "What gender do you identify as?",
#     "race": "What is your racial background?",
#     "school_behavior": "How was your behavior at school?",
#     "school_grades": "How were your grades at school?",
#     "school_failures": "Did you fail any class or year in school?",
#     "school_behavior_issues": "Did you have problems at school due to your behavior?",
#     "education_level": "What is your highest level of education?",
#     "citizenship_status": "What is your citizenship or immigration status?",
#     "marital_status": "What is your current relationship status?",
#     "offsprings": "Do you have children? If yes, how many?",
#     "living_situation": "What is your current living situation?",
#     "employment_status": "What is your employment status?",
#     "income_source": "What is your main source of income?",
#     "legal_issues": "Do you have any history of legal issues?"
# }

# # Routes

# @app.route("/")
# def index():
#     return render_template("index.html", title="Welcome")

# # Signup route
# @app.route('/signup', methods=['GET', 'POST'])
# def signup():
#     """Handle user signup."""
#     if request.method == 'POST':
#         email = request.form.get('email')
#         password = request.form.get('password')
        
#         try:
#             # Sign up logic with Supabase
#             user = supabase.auth.sign_up({
#                 "email": email,
#                 "password": password
#             })
#             # After successful signup, log in the user and redirect to the chat page
#             session['user_id'] = user.id
#             session['user_email'] = user.email
#             return redirect(url_for('chat'))
#         except Exception as e:
#             return f"Signup failed: {e}"
    
#     # For GET request, show the signup page
#     return render_template('signup.html')

# # Login route
# @app.route('/login', methods=['GET', 'POST'])
# def login():
#     """Handle user login."""
#     if request.method == 'POST':
#         email = request.form.get('email')
#         password = request.form.get('password')

#         try:
#             # Attempt to log in with Supabase
#             result = supabase.auth.sign_in_with_password({"email": email, "password": password})
            
#             # Store user_id in session after login
#             session['user_id'] = result.user.id
#             session['user_email'] = result.user.email

#             # Debugging: Print session data to check if it's set
#             print(f"User logged in: {session['user_email']}")

#             # Redirect to the chat page after successful login
#             return redirect(url_for('chat'))

#         except Exception as e:
#             return f"Login failed: {e}"
        
#     # For GET request, show the login page
#     return render_template('login.html')


# # Chat route
# @app.route('/chat', methods=['GET', 'POST'])
# def chat():
#     """Handle chat interactions."""
#     # if 'user_id' not in session:
#     #     return redirect(url_for('login'))  # Redirect to login page if not logged in

#     user_id = session.get('user_id')
#     history = session.get('chat_history', [])

#     # Initial system prompt (context for the chatbot)
#     system_prompt = {
#         "role": "system",
#         "content": """The following is a conversation with an AI assistant that can have meaningful conversations with users. 
#                       You are a clinical assistant who assesses patients' mental health by asking relevant questions. 
#                       You are helpful, empathetic, and friendly. Your objective is to make the user feel better by feeling heard. 
#                       Focus solely on evaluating and supporting the user’s mental health: ask about their feelings, symptoms, coping strategies, and well-being."""
#     }
    
#     if request.method == 'POST':
#         user_message = request.form.get('message')
#         history.append({"role": "user", "content": user_message})

#         # Combine history with system prompt
#         messages = [system_prompt] + [{"role": msg['role'], "content": msg['content']} for msg in history]

#         # OpenAI API call to get the response from the model
#         response = openai.ChatCompletion.create(
#             model="gpt-4o",
#             messages=messages,
#             temperature=0.7
#         )

#         bot_response = response.choices[0].message['content']
#         history.append({"role": "assistant", "content": bot_response})

#         # Store the updated history in the session
#         session['chat_history'] = history

#         return render_template('chat.html', history=history)

#     # Render the chat page
#     return render_template('chat.html', history=history)

# # Logout route
# @app.route('/logout')
# def logout():
#     session.clear()  # Clear the session
#     return redirect(url_for('login'))  # Redirect to login after logout

# # Run the app
# if __name__ == "__main__":
#     app.run(debug=True, host='0.0.0.0', port=7860)
# import os
# from flask import Flask, render_template, request, redirect, url_for, session, jsonify
# from flask_session import Session
# from dotenv import load_dotenv
# from supabase import create_client, Client
# from openai import OpenAI

# # =============== Env & Clients ===============
# load_dotenv()

# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# SUPABASE_URL = os.getenv("SUPABASE_URL")
# SUPABASE_KEY = os.getenv("SUPABASE_KEY")
# FLASK_SECRET_KEY = os.getenv("FLASK_SECRET_KEY", "dev-secret")

# if not OPENAI_API_KEY:
#     raise RuntimeError("OPENAI_API_KEY is not set")
# if not SUPABASE_URL or not SUPABASE_KEY:
#     raise RuntimeError("SUPABASE_URL or SUPABASE_KEY is not set")

# client = OpenAI(api_key=OPENAI_API_KEY)
# supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# # =============== Flask App ===============
# app = Flask(__name__, static_folder="static", template_folder="templates")
# app.secret_key = FLASK_SECRET_KEY
# app.config["SESSION_TYPE"] = "filesystem"
# app.config["SESSION_PERMANENT"] = False
# app.config["SESSION_FILE_DIR"] = os.path.join("/tmp", "flask_session")
# os.makedirs(app.config["SESSION_FILE_DIR"], exist_ok=True)
# Session(app)

# # =============== Chat Config ===============
# SYSTEM_PROMPT = {
#     "role": "system",
#     "content": (
#         "You are a clinical assistant who assesses patients' mental health by asking relevant questions. "
#         "You are helpful, empathetic, and friendly. Focus solely on evaluating and supporting the user's mental health: "
#         "ask about feelings, symptoms, coping strategies, and well-being. Keep responses under 120 words."
#     ),
# }

# # =============== Helpers ===============
# def get_history() -> list[dict]:
#     """Return chat history stored in session (list of {role, content})."""
#     if "chat_history" not in session:
#         session["chat_history"] = []
#     return session["chat_history"]

# def set_history(history: list[dict]) -> None:
#     session["chat_history"] = history

# # =============== Routes ===============
# @app.route("/")
# def index():
#     return render_template("index.html", title="Welcome")

# @app.route("/login", methods=["GET", "POST"])
# def login():
#     if request.method == "POST":
#         email = request.form.get("email", "").strip()
#         password = request.form.get("password", "")
#         try:
#             resp = supabase.auth.sign_in_with_password({"email": email, "password": password})
#             # supabase-py v2 returns an object with .user
#             if not resp.user:
#                 return render_template("login.html", title="Login", error="Invalid credentials.")
#             session["user_id"] = resp.user.id
#             session["user_email"] = resp.user.email
#             return redirect(url_for("chat"))
#         except Exception as e:
#             return render_template("login.html", title="Login", error=str(e))
#     return render_template("login.html", title="Login")

# @app.route("/signup", methods=["GET", "POST"])
# def signup():
#     if request.method == "POST":
#         email = request.form.get("email", "").strip()
#         password = request.form.get("password", "")
#         try:
#             resp = supabase.auth.sign_up({"email": email, "password": password})
#             if not resp.user:
#                 return render_template("signup.html", title="Sign Up", error="Signup failed.")
#             session["user_id"] = resp.user.id
#             session["user_email"] = resp.user.email
#             return redirect(url_for("chat"))
#         except Exception as e:
#             return render_template("signup.html", title="Sign Up", error=str(e))
#     return render_template("signup.html", title="Sign Up")

# @app.route("/chat", methods=["GET"])
# def chat():
#     # Optional gate:
#     # if "user_id" not in session: return redirect(url_for("login"))
#     history = get_history()
#     return render_template("chat.html", history=history, title="Chat")

# @app.post("/message")
# def message():
#     """JSON endpoint consumed by static/script.js"""
#     data = request.get_json(force=True) or {}
#     user_text = (data.get("message") or "").strip()
#     if not user_text:
#         return jsonify({"error": "Empty message"}), 400

#     history = get_history()
#     # Append user turn
#     history.append({"role": "user", "content": user_text})

#     # Build messages window to keep token usage reasonable
#     recent = history[-10:]
#     messages = [SYSTEM_PROMPT] + recent

#     try:
#         resp = client.chat.completions.create(
#             model="gpt-4o-mini",
#             messages=messages,
#             temperature=0.6,
#         )
#         bot_reply = resp.choices[0].message.content
#     except Exception as e:
#         bot_reply = f"Oops, I couldn't reach the AI service: {e}"

#     # Append assistant turn & persist in session
#     history.append({"role": "assistant", "content": bot_reply})
#     set_history(history)

#     return jsonify({"reply": bot_reply})

# @app.route("/logout")
# def logout():
#     session.clear()
#     return redirect(url_for("login"))

# # =============== Main ===============
# if __name__ == "__main__":
#     # Hugging Face Spaces expects the app to listen on 7860
#     app.run(host="0.0.0.0", port=7860, debug=True)
import os
import re
import json
import logging
from datetime import datetime
import base64
import uuid 
from datetime import date
from flask import Flask, render_template, request, redirect, url_for, session, jsonify
from flask_session import Session
from dotenv import load_dotenv
from supabase import create_client, Client
from openai import OpenAI
from google.cloud import dialogflowcx_v3 as dfx
from google.oauth2 import service_account
from google.protobuf import struct_pb2
from google.api_core.client_options import ClientOptions

# =============== Env & Clients ===============
load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
SUPABASE_URL = os.getenv("SUPABASE_URL")
SUPABASE_KEY = os.getenv("SUPABASE_KEY")
FLASK_SECRET_KEY = os.getenv("FLASK_SECRET_KEY", "dev-secret")
DF_PROJECT  = os.getenv("DIALOGFLOW_PROJECT_ID")
DF_LOCATION = os.getenv("DIALOGFLOW_LOCATION", "us-central1")
DF_AGENT_ID = os.getenv("DIALOGFLOW_AGENT_ID", "")
DF_BEARER = os.getenv("DF_WEBHOOK_BEARER", "")
YES = re.compile(r'^(y|ya|yes|yep|yeah|sure|ok|okay|affirmative|i agree|consent)\.?$', re.I)
NO  = re.compile(r'^(n|no|nope|nah|not now|decline|don\'t|do not)\.?$', re.I)

if not OPENAI_API_KEY:
    raise RuntimeError("OPENAI_API_KEY is not set")
if not SUPABASE_URL or not SUPABASE_KEY:
    raise RuntimeError("SUPABASE_URL or SUPABASE_KEY is not set")

client = OpenAI(api_key=OPENAI_API_KEY)
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# =============== Logging ===============
# Logs go to STDOUT (visible in Spaces logs)
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(message)s",
)
log = logging.getLogger("app")

# =============== Flask App ===============
app = Flask(__name__, static_folder="static", template_folder="templates")
app.secret_key = FLASK_SECRET_KEY
app.config["SESSION_TYPE"] = "filesystem"
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_FILE_DIR"] = os.path.join("/tmp", "flask_session")
os.makedirs(app.config["SESSION_FILE_DIR"], exist_ok=True)
Session(app)

app.config.update(
    SESSION_COOKIE_NAME="mh_session",
    SESSION_COOKIE_HTTPONLY=True,
    SESSION_COOKIE_SAMESITE="None",
    SESSION_COOKIE_SECURE=True,  # HTTPS on Spaces
)

@app.before_request
def _log_request():
    log.info(
        "REQ %s %s ip=%s ua=%s",
        request.method,
        request.path,
        request.headers.get("X-Forwarded-For", request.remote_addr),
        request.headers.get("User-Agent", "-"),
    )
    if request.is_json:
        try:
            log.info("REQ JSON: %s", json.dumps(request.get_json(force=False), ensure_ascii=False))
        except Exception:
            pass

@app.after_request
def _log_response(resp):
    log.info("RESP %s %s status=%s", request.method, request.path, resp.status_code)
    return resp

# =============== Chat Config ===============
SYSTEM_PROMPT = {
    "role": "system",
    "content": (
        "You are a clinical assistant who assesses patients' mental health by asking relevant questions. "
        "You are helpful, empathetic, and friendly. Focus solely on evaluating and supporting the user's mental health: "
        "ask about feelings, symptoms, coping strategies, and well-being. Keep responses under 120 words."
    ),
}

# =============== Helpers ===============
def _auth_ok(req):
    # Accept either Authorization: Bearer <token> or X-DF-Token: <token>
    auth = req.headers.get("Authorization", "")
    if auth == f"Bearer {DF_BEARER}":
        return True
    return False
def get_history() -> list[dict]:
    """Return chat history stored in session (list of {role, content})."""
    hist = session.get("chat_history")
    if not isinstance(hist, list):
        hist = []
        session["chat_history"] = hist
    return hist

def set_history(history: list[dict]) -> None:
    session["chat_history"] = history

def safe_email() -> str:
    return session.get("user_email") or "anonymous@local"

def needs_socio_row(user_id: str) -> bool:
    try:
        res = (supabase.table("Patient Table")
               .select("patient_id", count="exact")  # ask PostgREST to count
               .eq("patient_id", user_id)
               .limit(1)
               .execute())
        log.info("Supabase sociodemographic check for %s: %s", user_id, res)
        # Normal case:
        if res is not None and getattr(res, "count", None) is not None:
            return res.count == 0
        # Fallbacks:
        rows = (getattr(res, "data", None) or [])
        return len(rows) == 0
    except Exception as e:
        app.logger.exception("Supabase sociodemographic check failed: %s", e)
        return True  # be conservative: collect intake

def _cx_endpoint(location: str) -> str:
    # CX requires regional endpoints (except 'global')
    return "dialogflow.googleapis.com" if location == "global" else f"{location}-dialogflow.googleapis.com"

def _load_df_credentials():
    raw = os.getenv("DIALOGFLOW_KEY", "")
    if not raw:
        raise RuntimeError("DIALOGFLOW_KEY not set")

    # Try JSON object first
    try:
        info = json.loads(raw)
        return service_account.Credentials.from_service_account_info(
            info,
            scopes=["https://www.googleapis.com/auth/dialogflow"]
        )
    except Exception:
        pass

    # Try base64 JSON
    try:
        decoded = base64.b64decode(raw).decode("utf-8")
        info = json.loads(decoded)
        return service_account.Credentials.from_service_account_info(
            info,
            scopes=["https://www.googleapis.com/auth/dialogflow"]
        )
    except Exception:
        pass

    # Fall back: treat as file path
    if os.path.exists(raw):
        return service_account.Credentials.from_service_account_file(
            raw,
            scopes=["https://www.googleapis.com/auth/dialogflow"]
        )

    raise RuntimeError("DIALOGFLOW_KEY must be service account JSON (plain or base64) or a valid file path.")

_creds = _load_df_credentials()

# ---- Build CX Sessions client and agent path
_df_sessions = dfx.SessionsClient(credentials=_creds, client_options=ClientOptions(api_endpoint=_cx_endpoint(DF_LOCATION)))
DF_AGENT_PATH = f"projects/{DF_PROJECT}/locations/{DF_LOCATION}/agents/{DF_AGENT_ID}"

def cx_texts(resp) -> str:
    """Flatten Dialogflow CX response_messages into a single string."""
    if not resp or not getattr(resp, "query_result", None):
        return "…"
    texts = []
    for m in resp.query_result.response_messages:
        if getattr(m, "text", None) and m.text.text:
            # m.text.text is a list of strings: take them all and join
            texts.extend([t for t in m.text.text if t])
    return "\n\n".join(texts).strip() or "…"

def _mk_query_params(params: dict | None):
    if not params:
        return None
    s = struct_pb2.Struct()
    # Only put JSON-serializable values (str/int/bool/float/list/dict); skip None
    for k, v in params.items():
        if v is not None:
            s.update({k: v})
    return dfx.QueryParameters(parameters=s)

def cx_detect_text(text: str, session_id: str, params: dict | None = None):
    session_path = f"{DF_AGENT_PATH}/sessions/{session_id or 'anon'}"
    qp = _mk_query_params(params)
    return _df_sessions.detect_intent(
        request=dfx.DetectIntentRequest(
            session=session_path,
            query_input=dfx.QueryInput(
                text=dfx.TextInput(text=text),
                language_code="en",
            ),
            query_params=qp,        
        )
    )

def cx_trigger_event(event_name: str, session_id: str, params: dict | None = None):
    session_path = f"{DF_AGENT_PATH}/sessions/{session_id or 'anon'}"
    qp = _mk_query_params(params)
    return _df_sessions.detect_intent(
        request=dfx.DetectIntentRequest(
            session=session_path,
            query_input=dfx.QueryInput(
                event=dfx.EventInput(event=event_name),
                language_code="en",
            ),
            query_params=qp,        
        )
    )

def is_yes_no(s: str) -> bool:
    t = (s or "").strip()
    return bool(YES.match(t) or NO.match(t))

def ensure_cx_session():
    if not session.get("cx_session_id"):
        session["cx_session_id"] = f'{session.get("user_id","anon")}-{uuid.uuid4().hex}'
        session["kicked_socio"] = False

def classify_with_openai(text:str)->dict:
    try:
        r = client.chat.completions.create(
            model="gpt-4o-mini",
            temperature=0,
            response_format={"type":"json_object"},
            messages=[{
                "role":"system",
                "content":(
                    "Return JSON with fields: kind ∈ {on_topic, smalltalk}, "
                    "and note (≤30 words, empathetic, no clinical advice). "
                    "If user asks casual or unrelated questions → smalltalk."
                )
            },{"role":"user","content":text}]
        )
        return json.loads(r.choices[0].message.content)
    except Exception:
        return {"kind":"on_topic","note":""}

# =============== Routes ===============
@app.get("/health")
def health():
    return jsonify({"ok": True, "time": datetime.utcnow().isoformat() + "Z"})

@app.route("/")
def index():
    return render_template("index.html", title="Welcome")

@app.post("/dialogflow")
def dialogflow_webhook():
    if not _auth_ok(request):
        return ("Unauthorized", 401)
    log.info("Dialogflow webhook called with auth OK")
    body = request.get_json(force=True) or {}
    tag    = ((body.get("fulfillmentInfo") or {}).get("tag")) or ""
    params = (body.get("sessionInfo") or {}).get("parameters") or {}
    user_id = params.get("user_id")
    log.info("Dialogflow webhook called with tag=%s, user_id=%s", tag, user_id)
    log.debug("Dialogflow webhook params: %s", json.dumps(params, ensure_ascii=False))

    # --- helpers ---
    def join_text(x):
        if x is None: return None
        if isinstance(x, list): return ", ".join([str(v) for v in x if v is not None])
        return str(x)

    def yes_no(v):
        if isinstance(v, bool): return "yes" if v else "no"
        s = str(v or "").strip().lower()
        return "yes" if s in {"y","yes","true","1","sure","ok","okay","affirmative"} else ("no" if s in {"n","no","false","0","nah","nope","negative"} else None)

    def only_digits(x):
        if x is None: return None
        s = re.sub(r"\D+", "", str(x))
        return int(s) if s else None

    def iso_date(s):
        # keep as given; DB column is varchar. If you want strict ISO, coerce here.
        return str(s) if s else None

    def calc_age(dob_str):
        try:
            y, m, d = [int(t) for t in str(dob_str)[:10].split("-")]
            today = date.today()
            a = today.year - y - ((today.month, today.day) < (m, d))
            return a
        except Exception:
            return None

    # --- consent logging (optional example) ---
    if tag == "record_consent":
        try:
            supabase.table("consent_log").insert({
                "user_id": user_id,
                "consent": (params.get("consent") == "yes"),
            }).execute()
        except Exception as e:
            log.exception("Failed to record consent: %s", e)
        return {"sessionInfo": {"parameters": params}}

    # --- main save ---
    if tag == "save_socio":
        if not user_id:
            # Without a patient_id we can't satisfy DB constraints -> ask CX to reprompt via INVALID (or handle upstream)
            return {
                "sessionInfo": {"parameters": params},
                "fulfillment_response": {"messages": [{"text": {"text": [
                    "I’m missing your account id. Please log in again."
                ]}}]}
            }

        # Collect inputs with tolerant keys (use whichever your CX params are using)
        full_name   = params.get("patient_name") or params.get("full_name") or params.get("name")
        dob         = params.get("date_of_birth")
        phone_in    = params.get("patient_phone") or params.get("phone_number")
        country     = params.get("country_of_birth")
        sex_val     = params.get("sex") or params.get("sex_assigned_at_birth")
        gender_val  = params.get("gender") or params.get("gender_identity")
        race_val    = params.get("race") or params.get("race_ethnicity")
        sch_beh     = params.get("school_performance_behavior") or params.get("school_behavior")
        grades      = params.get("grades_overall") or params.get("school_grades")
        failed      = params.get("failed_class_or_year") or params.get("school_failures")
        # beh_probs   = params.get("school_behavior_problems") or params.get("school_behavior_issues")
        edu         = params.get("highest_education") or params.get("education_level")
        citizen     = params.get("citizenship_status")
        marital     = params.get("marital_status")
        kids        = params.get("offsprings") or params.get("offspring_count")
        living      = params.get("living_situation")
        employment  = params.get("employment_status")
        income      = params.get("income_source")
        legal_hist  = params.get("legal_issues_history") or params.get("legal_issues")
        # legal_det   = params.get("legal_issues_details")

        # Normalize
        dob_txt   = iso_date(dob)
        age_val   = params.get("age") or (calc_age(dob_txt) if dob_txt else None)
        phone_num = only_digits(phone_in)
        race_txt  = join_text(race_val)
        income_txt= join_text(income)
        fail_txt  = yes_no(failed)
        # beh_txt   = yes_no(beh_probs)
        legal_txt = yes_no(legal_hist)

        # If you want details captured, append when legal is yes
        # if legal_txt == "yes" and legal_det:
        #     legal_txt = f"yes - {str(legal_det)}"

        row = {
            "patient_id": user_id,                    # NOT NULL, PK
            "patient_name": full_name,
            "age": age_val,
            "date_of_birth": dob_txt,                 # varchar in your schema
            "phone": phone_num,
            "country_of_birth": country,
            "sex": sex_val,
            "gender": gender_val,
            "race": race_txt,
            "school_behavior": sch_beh,
            "school_grades": grades,
            "school_failures": fail_txt,              # "yes"/"no"
            # "school_behavior_issues": beh_txt,        # "yes"/"no"
            "education_level": edu,
            "citizenship_status": citizen,
            "marital_status": marital,
            "offsprings": str(kids) if kids is not None else None,
            "living_situation": living,
            "employment_status": employment,
            "income_source": income_txt,
            "legal_issues": legal_txt,
            "patient_phone": phone_num,               # also fill the duplicate column
        }

        # Upsert by patient_id
        try:
            supabase.table("Patient Table").upsert(row, on_conflict="patient_id").execute()
            msg = "Thanks — I’ve saved your information."
        except Exception as e:
            log.exception('Supabase upsert failed: %s', e)
            msg = "I had trouble saving your answers, but we can continue."

        # Optionally reflect normalized values back into the session
        params.update({
            "age": age_val,
            "date_of_birth": dob_txt,
            "phone": phone_num,
            "patient_phone": phone_num,
            "race": race_txt,
            "income_source": income_txt,
            "school_failures": fail_txt,
            "school_behavior_issues": beh_txt,
            "legal_issues": legal_txt,
        })

        return {
            "sessionInfo": {"parameters": params},
            "fulfillment_response": {"messages": [{"text": {"text": [msg]}}]},
        }

    # default no-op
    log.info("DF Webhook called with tag=%s params=%s", tag, params)
    return {"sessionInfo": {"parameters": params}}


@app.route("/login", methods=["GET", "POST"])
def login():
    if request.method == "POST":
        email = request.form.get("email", "").strip()
        password = request.form.get("password", "")
        try:
            log.info("Attempting login for %s", email)
            resp = supabase.auth.sign_in_with_password({"email": email, "password": password})
            if not getattr(resp, "user", None):
                log.warning("Login failed for %s (no user in response)", email)
                return render_template("login.html", title="Login", error="Invalid credentials.")
            session["user_id"] = resp.user.id
            session["user_email"] = resp.user.email
            log.info("Login success user_id=%s email=%s", resp.user.id, resp.user.email)
            # try:
            #     # s = supabase.table("Patient Table") \
            #     #     .select("patient_id") \
            #     #     .eq("patient_id", session["user_id"]) \
            #     #     .maybe_single().execute()
            #     # need_socio = (len(getattr(s, "data", []) or s.get("data", [])) == 0)
            #     resp = (
            #         supabase.table("Patient Table")
            #         .select("patient_id")
            #         .eq("patient_id", session["user_id"])
            #         .maybe_single()   # ← key line
            #         .execute()
            #     )
            #     need_socio = (resp.data is None) 
            # except Exception as e:
            #     app.logger.exception("Supabase sociodemographic check failed")
            #     need_socio = True  # collect if unsure
            session["cx_session_id"] = f'{session["user_id"]}-{uuid.uuid4().hex}'
            session["kicked_socio"] = False
            session["chat_history"] = []
            need_socio = needs_socio_row(resp.user.id)
            session["phase"] = "intake_socio" if need_socio else "place_holder"
            log.info("The Phase of the session %s", session["phase"])
            return redirect(url_for("chat"))
        except Exception as e:
            log.exception("Login error for %s", email)
            return render_template("login.html", title="Login", error=str(e))
    return render_template("login.html", title="Login")

@app.route("/signup", methods=["GET", "POST"])
def signup():
    if request.method == "POST":
        email = request.form.get("email", "").strip()
        password = request.form.get("password", "")
        try:
            log.info("Attempting signup for %s", email)
            resp = supabase.auth.sign_up({"email": email, "password": password})
            if not getattr(resp, "user", None):
                log.warning("Signup failed for %s (no user in response)", email)
                return render_template("signup.html", title="Sign Up", error="Signup failed.")
            session["user_id"] = resp.user.id
            session["user_email"] = resp.user.email
            log.info("Signup success user_id=%s email=%s", resp.user.id, resp.user.email)
            # try:
            #     s = supabase.table("Patient Table") \
            #         .select("patient_id") \
            #         .eq("patient_id", session["user_id"]) \
            #         .limit(1).execute()
            #     need_socio = (len(getattr(s, "data", []) or s.get("data", [])) == 0)
            # except Exception as e:
            #     app.logger.exception("Supabase sociodemographic check failed")
            #     need_socio = True  # collect if unsure
            # need_socio = needs_socio_row(resp.user.id)
            session["cx_session_id"] = f'{session["user_id"]}-{uuid.uuid4().hex}'
            session["kicked_socio"] = False
            session["chat_history"] = []
            session["phase"] = "intake_socio"
            log.info("The Phase of the session %s", session["phase"])
            return redirect(url_for("chat"))
        except Exception as e:
            log.exception("Signup error for %s", email)
            return render_template("signup.html", title="Sign Up", error=str(e))
    return render_template("signup.html", title="Sign Up")

@app.route("/chat", methods=["GET"])
def chat():
    # Optional gate:
    # if "user_id" not in session: return redirect(url_for("login"))
    ensure_cx_session()
    history = get_history()
    log.info("Render chat for %s with %d history msgs", safe_email(), len(history))
    if session.get("phase") == "intake_socio" and not session.get("kicked_socio"):
        session["kicked_socio"] = True
        #change
        session_id = session.get("cx_session_id") or session.get("user_id") or "anon"
        params={"user_id": session.get("user_id"), "user_email": session.get("user_email")}
        try:
            df = cx_trigger_event(
            "start_socio",
            session_id,
            params
            )
        except Exception as e:
            app.logger.warning("start_socio not handled; falling back: %s", e)
            df = cx_detect_text("", session_id, params)
        log.info("CX triggered start_socio event, got %d response messages", len(df.query_result.response_messages))    
        # extract first text reply from CX
        # texts = [m.text.text for m in df.query_result.response_messages if m.text and m.text.text]
        # if texts:
        #     history.append({"role": "assistant", "content": texts[0]})
        #     set_history(history)
        msg = cx_texts(df)
        history.append({"role": "assistant", "content": msg})
        set_history(history)
        cr = df.query_result
        log.info("CX kickoff -> page=%s", getattr(cr.current_page, "display_name", None))
    return render_template("chat.html", history=history, title="Chat")

@app.post("/message")
def message():
    """JSON endpoint consumed by static/script.js"""
    try:
        data = request.get_json(force=True) or {}
        user_text = (data.get("message") or "").strip()
        if not user_text:
            log.warning("Empty message received")
            return jsonify({"error": "Empty message"}), 400

        history = get_history()
        history.append({"role": "user", "content": user_text})
        set_history(history)
        log.info("USER: %s", user_text)

        phase = session.get("phase") or "assessment"
        session_params = {"user_id": session.get("user_id"), "user_email": session.get("user_email")}
        session_id = session.get("cx_session_id") or session.get("user_id") or "anon"

        # def first_cx_text(df_resp):
        #     msgs = [m.text.text for m in df_resp.query_result.response_messages if m.text and m.text.text]
        #     return (msgs[0] if msgs and msgs[0] else "Okay.")

        # --- Intake phases use CX ---
        if phase == "intake_socio":
            # 1) quick classify smalltalk/off-topic; also extract any obvious values
            df = cx_detect_text(user_text, session_id, session_params)
            bot_reply = cx_texts(df) 
            log.info("CX response: %s", bot_reply)
            if bot_reply.strip().lower() in {"i missed that, say that again?", "sorry, could you repeat that?"}:
            #Try out code block
            # if is_yes_no(user_text):
            #     df = cx_detect_text(user_text, session.get("user_id","anon"), session_params)
            #     bot_reply = cx_texts(df)
            # else:
                # 2) classify with OpenAI
                decision = classify_with_openai(user_text)  # returns {"kind":"on_topic"/"smalltalk","note": "..."}
                if decision["kind"] == "smalltalk":
                    # brief supportive reply, then nudge back with the current CX prompt (ask CX what’s next without consuming user input)
                    empathetic = decision["note"]
                    # Query CX with an empty text to get the next prompt (or you can store last CX prompt in session)
                    df_peek = cx_detect_text("", session_id, session_params)
                    # nudge = first_cx_text(df_peek)
                    nudge = cx_texts(df_peek)
                    log.info("CX smalltalk nudge: %s", nudge)
                    bot_reply = f"{empathetic}\n\n{nudge}"
                #tryout block
                # else:
                #     # 2) normal CX turn with the user’s text
                #     df = cx_detect_text(user_text, session.get("user_id","anon"), session_params)
                #     # bot_reply = first_cx_text(df)
                #     bot_reply = cx_texts(df) 

                # 3) if the form just finished, CX will satisfy $page.params.status == "FINAL".
                #    Easiest: add a Page Route in CX that calls your webhook (tag=save_socio) and transitions.
                #    Here, we can also flip the local phase if CX already moved you.
            if df.query_result.current_page and df.query_result.current_page.display_name != "Socio form":
                # assume we left SocioForm -> go next phase
                log.info("Current page is %s, display name is %s", df.query_result.current_page,df.query_result.current_page.display_name)
                session["phase"] = "place_holder"  # or "intake_clinical"
                log.info("CX moved to page %s, switching phase to %s",
                            df.query_result.current_page.display_name, session["phase"])
        else:
            try:
                recent = history[-10:]
                messages = [SYSTEM_PROMPT] + recent
                resp = client.chat.completions.create(
                    model="gpt-4o-mini",
                    messages=messages,
                    temperature=0.6,
                )
                bot_reply = resp.choices[0].message.content
                log.info("ASSISTANT: %s", bot_reply)
            except Exception as e:
                log.exception("OpenAI call failed")
                bot_reply = f"Oops, I couldn't reach the AI service: {e}"

        history.append({"role": "assistant", "content": bot_reply})
        set_history(history)

        # NOTE: If you want to persist to Supabase, you can insert here safely
        # supabase.table("conversations").insert({...})

        return jsonify({"reply": bot_reply})
    except Exception as e:
        log.exception("Unhandled error in /message")
        return jsonify({"error": f"Server error: {e}"}), 500

@app.route("/logout")
def logout():
    log.info("Logout %s", safe_email())
    session.clear()
    return redirect(url_for("login"))

# =============== Main ===============
if __name__ == "__main__":
    # Hugging Face Spaces expects the app to listen on 7860
    port = int(os.getenv("PORT", "7860"))
    app.run(host="0.0.0.0", port=port, debug=True)