import streamlit as st
import requests
from datetime import datetime

st.set_page_config(page_title="FYP Dashboard", layout="wide")
st.title("🚀 Multi-Agent Knowledge System Dashboard")

api_url = "https://fyp1-api.onrender.com"

st.header("📊 Metrics")
col1, col2, col3, col4 = st.columns(4)

try:
    metrics = requests.get(f"{api_url}/metrics").json()
    col1.metric("Total Queries", metrics.get("total_queries", 0))
    col2.metric("Avg Latency (ms)", f"{metrics.get('avg_latency_ms', 0):.0f}")
    col3.metric("Avg Confidence", f"{metrics.get('avg_confidence', 0):.0%}")
    col4.metric("Cache Hit Rate", f"{metrics.get('cache_hit_rate', 0):.0%}")
except:
    st.error("Cannot connect to API")

st.divider()

st.header("🧪 Test Query")
query = st.text_input("Enter query:", "What is FastAPI?")

if st.button("Send", key="unique_send"):
    response = requests.post(f"{api_url}/query", json={"query": query}).json()
    st.write(response.get("answer"))
    st.metric("Confidence", f"{response['validation']['confidence']}%")

st.divider()
st.header("🏥 Health")
try:
    health = requests.get(f"{api_url}/health").json()
    st.success("✅ API Running")
except:
    st.error("❌ API Down")