streamlit_app.py

import streamlit as st
import requests
import pandas as pd

# The URL where your FastAPI is running inside the Space
API_URL = "http://localhost:7860"

st.set_page_config(layout="wide")
st.title("📈 ProfitBook Trading Analysis Engine")

# --- Status Check ---
st.header("API Status")
if st.button("Check API Status"):
    try:
        response = requests.get(API_URL)
        if response.status_code == 200:
            st.success("API is operational.")
            st.json(response.json())
        else:
            st.error(f"API returned status code: {response.status_code}")
            st.text(response.text)
    except requests.exceptions.ConnectionError as e:
        st.error(f"Failed to connect to the API. Is it running? Error: {e}")

st.divider()

# --- Prediction Endpoint ---
st.header("Get Trading Signal")
symbol = st.text_input("Enter a stock symbol (e.g., NVDA, SPY, QQQ)", "NVDA").upper()
timeframe = st.selectbox("Select a timeframe", ["1m", "5m", "15m", "1h"], index=2)
strategy = st.selectbox("Select a strategy", ["momentum", "scalp", "gap"], index=0)

if st.button("Analyze Symbol"):
    with st.spinner(f"Running full-stack AI analysis for {symbol}..."):
        try:
            # The endpoint URL for prediction
            predict_url = f"{API_URL}/predict/enhanced/"
            params = {
                "symbol": symbol,
                "timeframe": timeframe,
                "strategy_mode": strategy
            }
            
            response = requests.post(predict_url, params=params)

            if response.status_code == 200:
                data = response.json()
                
                st.subheader(f"Signal for {data['symbol']}: {data['signal']}")
                
                col1, col2, col3 = st.columns(3)
                col1.metric("Confidence", f"{data['confidence']:.0f}%")
                col2.metric("Position Size", f"{data['position_size']:.2f}")
                col3.metric("Hold Time", data['expected_hold_time'])

                with st.expander("Reasoning and Strategy Details"):
                    st.write("**Reasoning:**", data['reasoning'])
                    st.write("**Suggested Options Strategy:**")
                    st.json(data['options_strategy'])
                
                with st.expander("Full Analysis Data"):
                    st.json(data)

            else:
                st.error(f"API Error: Status {response.status_code}")
                st.json(response.json())

        except requests.exceptions.ConnectionError:
            st.error("Failed to connect to the API.")
        except Exception as e:
            st.error(f"An unexpected error occurred: {e}")