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# ---------------------------------------------------
# 🌾 Project Samarth — Intelligent Q&A System
# ---------------------------------------------------
import sys, os
import streamlit as st
# ✅ Ensure Python finds your project modules
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/..")
from query_engine.parser import parse_query
from query_engine.logic_engine import run_query
from answer_generator.citation_manager import get_source
# ---------------------------------------------------
# ⚙️ Streamlit Page Setup
# ---------------------------------------------------
st.set_page_config(page_title="🌾 Project Samarth — Intelligent Q&A", layout="centered")
# ✅ Load custom CSS
try:
st.markdown("<style>" + open("ui/style.css").read() + "</style>", unsafe_allow_html=True)
except Exception as e:
st.warning("⚠️ Could not load CSS file. Using default Streamlit styling.")
# ---------------------------------------------------
# 🧠 Title and Info
# ---------------------------------------------------
st.title("🌾 Project Samarth — Intelligent Q&A System")
st.caption("Ask intelligent, data-driven questions about agriculture and climate using live datasets from data.gov.in.")
# ---------------------------------------------------
# ✍️ Input Section
# ---------------------------------------------------
query = st.text_area(
"🧠 Ask your question:",
height=100,
placeholder="Example: Compare rainfall and rice production in Andaman and Nicobar Islands and Andhra Pradesh for the last 5 years"
)
# ---------------------------------------------------
# 🔍 Analyze Button Logic
# ---------------------------------------------------
if st.button("🔍 Analyze"):
if not query.strip():
st.warning("Please enter a valid question.")
else:
with st.spinner("Analyzing your question..."):
try:
# 1️⃣ Parse user query
parsed_query = parse_query(query)
# 2️⃣ Run analysis logic
result = run_query(parsed_query)
# 3️⃣ Get citation source
source = get_source(parsed_query.get("query_type"))
# 4️⃣ Display structured results
st.markdown("---")
st.markdown("### 📊 Result Summary")
if "error" in result:
st.error(result["error"])
elif "message" in result:
st.info(result["message"])
else:
states = parsed_query.get("states", [])
crop = parsed_query.get("crop", "")
st.markdown(f"### 📊 Analysis for {', '.join(states)} — Crop: {crop.title()}")
# 🌧️ Rainfall Summary
if "rainfall_summary" in result:
st.markdown("#### 🌧️ Average Rainfall (mm):")
for state, value in result["rainfall_summary"].items():
st.markdown(f"- **{state.title()}**: `{value}` mm")
# 🌾 Production Summary
if "production_summary" in result:
st.markdown("#### 🌾 Total Production (tonnes):")
for state, value in result["production_summary"].items():
st.markdown(f"- **{state.title()}**: `{int(value)}` tonnes")
st.markdown("---")
st.markdown(f"📚 **Data Source:** {source}")
st.caption("Developed for Project Samarth — Integrating Agriculture & Climate Data 🌦️🌾")
except Exception as e:
st.error(f"❌ Something went wrong: {e}")
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