app.py

import streamlit as st
import fitz  # PyMuPDF
import pandas as pd
import re

st.set_page_config(page_title="Villa Quantity Surveyor", layout="wide")

st.title("🏗️ Villa Quantity Surveyor")
st.markdown("Upload your villa drawing in PDF format to get detailed quantity estimation and floor-wise breakdown.")

# --- Helper Functions ---

def extract_text_from_pdf(uploaded_file):
    doc = fitz.open(stream=uploaded_file.read(), filetype="pdf")
    text_data = ""
    for page in doc:
        text_data += page.get_text()
    return text_data

def parse_floor_data(text):
    floors = {"Ground Floor": {}, "First Floor": {}, "Second Floor": {}}
    matches = re.findall(r'(Ground|First|Second) Floor.*?(?=(Ground|First|Second) Floor|$)', text, re.DOTALL)
    for match in matches:
        floor_name = match[0] + " Floor"
        content = match[1] if isinstance(match, tuple) and len(match) > 1 else ""
        rooms = re.findall(r'(Room|Bedroom|Kitchen|Toilet|Bath|Living|Drawing).*?(\d+\.?\d*) ?x ?(\d+\.?\d*)', content)
        floor_area = 0
        paint_area = 0
        room_list = []

        for room in rooms:
            name = room[0]
            width = float(room[1])
            length = float(room[2])
            height = 3  # Assuming standard height for paint
            wall_area = 2 * height * (width + length)
            room_area = width * length
            floor_area += room_area
            paint_area += wall_area
            room_list.append({
                "Room": name,
                "Width (m)": width,
                "Length (m)": length,
                "Wall Area for Paint (m²)": wall_area,
                "Floor Area (m²)": room_area
            })

        floors[floor_name]["Total Floor Area (m²)"] = floor_area
        floors[floor_name]["Total Paint Area (m²)"] = paint_area
        floors[floor_name]["Rooms"] = room_list

    return floors

def estimate_quantities(floor_data):
    explanation = "Estimated based on standard villa layout, assuming 3m height walls and standard block dimensions.\n"
    quantities = {
        "Bricks (1000 bricks)": 0,
        "Cement (bags)": 0,
        "Sand (m³)": 0,
        "Paint (litres)": 0
    }

    total_paint_area = 0
    total_wall_area = 0
    for floor in floor_data.values():
        total_paint_area += floor["Total Paint Area (m²)"]
        for room in floor["Rooms"]:
            width = room["Width (m)"]
            length = room["Length (m)"]
            height = 3  # Assuming 3m height
            wall_area = 2 * height * (width + length)
            total_wall_area += wall_area

    # Estimate values
    quantities["Bricks (1000 bricks)"] = round(total_wall_area / 20)  # Roughly 20 m² per 1000 bricks
    quantities["Cement (bags)"] = round(total_wall_area / 5)         # One bag for 5 m²
    quantities["Sand (m³)"] = round(total_wall_area / 10, 2)         # 0.1 m³ per m² of wall
    quantities["Paint (litres)"] = round(total_paint_area / 10)      # 1 litre covers approx 10 m²

    return quantities, explanation

# --- Streamlit UI ---

uploaded_file = st.file_uploader("📤 Upload Villa Drawing (PDF)", type=["pdf"])

if uploaded_file:
    with st.spinner("📖 Reading and analyzing drawing..."):
        text = extract_text_from_pdf(uploaded_file)
        floor_data = parse_floor_data(text)
        quantities, explanation = estimate_quantities(floor_data)

    st.subheader("📊 Quantity Estimation")
    st.write(quantities)
    st.markdown("#### 📌 Explanation:")
    st.markdown(explanation)

    for floor_name, data in floor_data.items():
        st.markdown(f"### 🏢 {floor_name}")
        st.write(f"**Total Floor Area:** {data['Total Floor Area (m²)']} m²")
        st.write(f"**Total Paint Area:** {data['Total Paint Area (m²)']} m²")
        df_rooms = pd.DataFrame(data["Rooms"])
        st.dataframe(df_rooms)