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Update app.py
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app.py
CHANGED
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@@ -1,62 +1,46 @@
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import streamlit as st
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import ezdxf
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import io
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import pandas as pd
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import matplotlib.pyplot as plt
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from fpdf import FPDF
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import matplotlib.patches as patches
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import tempfile
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import
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from io import BytesIO
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# Constants
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BRICK_VOLUME_CFT = (9
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CEMENT_SAND_RATIO = 1 / 6
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SAND_RATIO = 5 / 6
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CEMENT_DENSITY_KG_PER_CFT = 1440 / 35.3147
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CEMENT_BAG_WEIGHT_KG = 50
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DEFAULT_WALL_THICKNESS = 0.75
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# Streamlit Setup
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st.set_page_config(page_title="Building Estimator from CAD", layout="wide")
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st.title("🏗️ Auto Estimation from AutoCAD (.dxf) Drawing")
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uploaded_file = st.file_uploader("Upload your DXF file", type=["dxf"])
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# Function to Extract Geometry from DXF
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@st.cache_data
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def extract_geometry(file_bytes):
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try:
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#
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file_stream = BytesIO(file_bytes)
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doc = ezdxf.read(file_stream)
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except Exception as e:
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st.error(f"Error reading DXF file: {e}")
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return [], 0.75, [],
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msp = doc.modelspace()
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rooms = []
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room_shapes = []
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wall_thickness = DEFAULT_WALL_THICKNESS
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wall_pairs = []
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# Detecting walls (parallel lines that represent wall edges)
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wall_lines = []
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for entity in msp:
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if entity.dxftype() == "LINE":
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wall_lines.append(entity)
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# Check for parallel lines representing a wall (detect double lines)
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for i, line1 in enumerate(wall_lines):
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for line2 in wall_lines[i + 1:]:
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if are_lines_parallel(line1, line2):
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# Calculate the distance between the two parallel lines
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wall_thickness = calculate_wall_thickness(line1, line2)
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wall_pairs.append((line1, line2, wall_thickness))
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# Process rooms, doors, and windows from entities
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for entity in msp:
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if entity.dxftype() == "TEXT":
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content = entity.dxf.text.lower()
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wall_thickness = float(content.split(":")[1].strip())
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except:
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continue
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elif entity.dxftype() == "LWPOLYLINE":
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if entity.closed:
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points = entity.get_points()
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x_vals = [p[0] for p in points]
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y_vals = [p[1] for p in points]
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room_shapes.append((min(x_vals), min(y_vals), max(x_vals), max(y_vals)))
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elif entity.dxftype() == "LINE":
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#
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return rooms, wall_thickness, doors, windows, room_shapes, wall_pairs
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# Function to Check if Lines are Parallel
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def are_lines_parallel(line1, line2):
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dx1, dy1 = line1.dxf.end.x - line1.dxf.start.x, line1.dxf.end.y - line1.dxf.start.y
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dx2, dy2 = line2.dxf.end.x - line2.dxf.start.x, line2.dxf.end.y - line2.dxf.start.y
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# Check if the direction vectors are nearly parallel (with some tolerance)
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tolerance = 0.1
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return abs(dx1 * dy2 - dy1 * dx2) < tolerance
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def calculate_wall_thickness(line1, line2):
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x1, y1 = line1.dxf.start.x, line1.dxf.start.y
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x2, y2 = line2.dxf.start.x, line2.dxf.start.y
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# Calculate distance between the two lines using the distance formula
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distance = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
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return distance / 12 # Convert to feet
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# Estimation Function
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def estimate(rooms, wall_thickness, doors, windows):
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wall_volume = sum(2 * (l + w) * h * wall_thickness for l, w, h in rooms)
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opening_volume = sum(l * h * wall_thickness for _, l, h in
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# Estimating the number of bricks
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number_of_bricks = round((net_volume / BRICK_VOLUME_CFT) * 1.05)
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mortar_volume = net_volume * 0.25
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cement_volume = mortar_volume * CEMENT_SAND_RATIO
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return number_of_bricks, sand_volume, cement_bags, {
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"Wall Volume (cft)": wall_volume,
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"Opening Volume (cft)": opening_volume,
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"Net Volume (cft)": net_volume,
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"Mortar Volume (cft)": mortar_volume,
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"Cement Volume (cft)": cement_volume,
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@@ -131,97 +104,89 @@ def estimate(rooms, wall_thickness, doors, windows):
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"Brick Volume (cft)": BRICK_VOLUME_CFT
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}
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# Function to Generate PDF with Estimation
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def generate_pdf(data_dict, calc_details, room_shapes):
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image_path = draw_plan_image(room_shapes)
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", 'B', size=14)
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pdf.cell(200, 10, "Estimation Report", ln=True, align='C')
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pdf.ln(5)
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# Add Summary of Quantities
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pdf.set_font("Arial", 'B', size=12)
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pdf.cell(200, 10, "Summary of Quantities", ln=True)
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pdf.set_font("Arial", '', size=11)
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for key, value in data_dict.items():
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pdf.cell(200, 10, f"{key}: {value}", ln=True)
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# Add Calculations with Formulas
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pdf.ln(8)
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pdf.set_font("Arial", 'B', size=12)
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pdf.cell(200, 10, "Step-by-Step Calculations with Formulas", ln=True)
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pdf.set_font("Arial", '', size=10)
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pdf.multi_cell(0, 8, f"""
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1. Wall Volume = 2 × (L + W) × H × t = {round(calc_details['Wall Volume (cft)'], 2)} cft
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2. Opening Volume = L × H × t = {round(calc_details['Opening Volume (cft)'], 2)} cft
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3.
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4.
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5.
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6.
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7.
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8. Cement
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""")
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# Add 2D Plan with Dimensions
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pdf.ln(5)
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pdf.set_font("Arial", 'B', size=12)
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pdf.cell(200, 10, "2D Plan with Dimensions (in ft)", ln=True)
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pdf.image(image_path, x=10, y=None, w=180)
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# Export to PDF
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tmp = NamedTemporaryFile(delete=False, suffix=".pdf")
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pdf.output(tmp.name)
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return tmp.name
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# Function to Draw Plan Image
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def draw_plan_image(room_shapes):
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fig, ax = plt.subplots()
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for x0, y0, x1, y1 in
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width = x1 - x0
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height = y1 - y0
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rect =
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ax.add_patch(rect)
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ax.set_title("2D Room Layout")
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ax.set_xlabel("X (ft)")
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ax.set_ylabel("Y (ft)")
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plt.axis('off')
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img_path = "/tmp/room_layout.png"
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plt.savefig(img_path)
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plt.close()
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return img_path
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# Main function to handle Streamlit interface
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if uploaded_file is not None:
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file_bytes = uploaded_file.read()
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if rooms:
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number_of_bricks, sand_volume, cement_bags, calc_details = estimate(rooms, wall_thickness, doors, windows)
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st.write(f"Estimated Bricks Required: {number_of_bricks}")
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st.write(f"Estimated Cement Bags: {cement_bags}")
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st.write(f"Estimated Sand Volume (cft): {sand_volume}")
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st.download_button("Download Estimation PDF", f, file_name="estimation_report.pdf")
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import streamlit as st
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import ezdxf
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import io
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import pandas as pd
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import matplotlib.pyplot as plt
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from fpdf import FPDF
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from tempfile import NamedTemporaryFile
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import matplotlib.patches as patches
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import tempfile
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import io
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# Constants
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BRICK_VOLUME_CFT = (9/12) * (4.5/12) * (3/12)
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CEMENT_SAND_RATIO = 1 / 6
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SAND_RATIO = 5 / 6
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CEMENT_DENSITY_KG_PER_CFT = 1440 / 35.3147
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CEMENT_BAG_WEIGHT_KG = 50
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DEFAULT_WALL_THICKNESS = 0.75
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st.set_page_config(page_title="Building Estimator from CAD", layout="wide")
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st.title("🏗️ Auto Estimation from AutoCAD (.dxf) Drawing")
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uploaded_file = st.file_uploader("Upload your DXF file", type=["dxf"])
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@st.cache_data
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def extract_geometry(file_bytes):
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try:
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# Convert file bytes into a file-like object
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file_stream = io.BytesIO(file_bytes)
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doc = ezdxf.read(file_stream) # Use the correct function to read from the byte stream
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except Exception as e:
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st.error(f"Error reading DXF file: {e}")
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return [], 0.75, [], 1, [], []
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msp = doc.modelspace()
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rooms = []
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room_shapes = []
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openings = []
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floors = 1
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wall_thickness = DEFAULT_WALL_THICKNESS
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wall_pairs = []
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for entity in msp:
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if entity.dxftype() == "TEXT":
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content = entity.dxf.text.lower()
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wall_thickness = float(content.split(":")[1].strip())
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except:
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continue
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elif "floor" in content:
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try:
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floors = int(content.split(":")[1].strip())
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except:
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continue
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elif entity.dxftype() == "LWPOLYLINE":
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if entity.closed and len(entity) == 4:
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points = entity.get_points()
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x_vals = [p[0] for p in points]
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y_vals = [p[1] for p in points]
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length = abs(max(x_vals) - min(x_vals)) / 12
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width = abs(max(y_vals) - min(y_vals)) / 12
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height = 10
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if length > 2 and width > 2:
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rooms.append((length, width, height))
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room_shapes.append((min(x_vals), min(y_vals), max(x_vals), max(y_vals)))
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else:
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openings.append(("opening", length, height))
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elif entity.dxftype() == "LINE":
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# Process lines for walls
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start_point = entity.dxf.start
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end_point = entity.dxf.end
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distance = ((end_point.x - start_point.x) ** 2 + (end_point.y - start_point.y) ** 2) ** 0.5
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if distance >= 9: # If the line represents a wall, assuming threshold distance for walls
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wall_pairs.append((start_point, end_point))
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return rooms, wall_thickness, openings, floors, room_shapes, wall_pairs
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def estimate(rooms, wall_thickness, openings, floors):
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wall_volume = sum(2 * (l + w) * h * wall_thickness for l, w, h in rooms)
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opening_volume = sum(l * h * wall_thickness for _, l, h in openings)
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beam_volume = sum((l + 1) * 0.75 * 0.75 for _, l, _ in openings)
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net_volume = (wall_volume - opening_volume - beam_volume) * floors
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number_of_bricks = round((net_volume / BRICK_VOLUME_CFT) * 1.05)
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mortar_volume = net_volume * 0.25
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cement_volume = mortar_volume * CEMENT_SAND_RATIO
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return number_of_bricks, sand_volume, cement_bags, {
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"Wall Volume (cft)": wall_volume,
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"Opening Volume (cft)": opening_volume,
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"Beam Volume (cft)": beam_volume,
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"Net Volume (cft)": net_volume,
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"Mortar Volume (cft)": mortar_volume,
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"Cement Volume (cft)": cement_volume,
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"Brick Volume (cft)": BRICK_VOLUME_CFT
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}
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def draw_plan_image(room_shapes):
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fig, ax = plt.subplots()
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for x0, y0, x1, y1 in room_shapes:
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width = x1 - x0
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height = y1 - y0
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rect = patches.Rectangle((x0, y0), width, height, linewidth=1, edgecolor='black', facecolor='none')
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ax.add_patch(rect)
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ax.text(x0 + width / 2, y0 - 2, f"{round(width / 12, 1)} ft", ha='center', fontsize=8)
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ax.text(x1 + 2, y0 + height / 2, f"{round(height / 12, 1)} ft", va='center', fontsize=8, rotation=90)
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ax.set_aspect('equal')
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ax.axis('off')
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".png")
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fig.savefig(temp_file.name, bbox_inches='tight')
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plt.close(fig)
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return temp_file.name
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def generate_pdf(data_dict, calc_details, room_shapes):
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image_path = draw_plan_image(room_shapes)
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", 'B', size=14)
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pdf.cell(200, 10, "Estimation Report", ln=True, align='C')
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pdf.ln(5)
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pdf.set_font("Arial", 'B', size=12)
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pdf.cell(200, 10, "Summary of Quantities", ln=True)
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pdf.set_font("Arial", '', size=11)
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for key, value in data_dict.items():
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pdf.cell(200, 10, f"{key}: {value}", ln=True)
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pdf.ln(8)
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pdf.set_font("Arial", 'B', size=12)
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pdf.cell(200, 10, "Step-by-Step Calculations with Formulas", ln=True)
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pdf.set_font("Arial", '', size=10)
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pdf.multi_cell(0, 8, f"""
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1. Wall Volume = 2 × (L + W) × H × t = {round(calc_details['Wall Volume (cft)'], 2)} cft
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| 145 |
2. Opening Volume = L × H × t = {round(calc_details['Opening Volume (cft)'], 2)} cft
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| 146 |
+
3. Beam Volume = (L+1) × 0.75 × 0.75 = {round(calc_details['Beam Volume (cft)'], 2)} cft
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| 147 |
+
4. Net Volume = (Wall - Opening - Beam) × Floors = {round(calc_details['Net Volume (cft)'], 2)} cft
|
| 148 |
+
5. Brick Volume = 9" × 4.5" × 3" = {round(calc_details['Brick Volume (cft)'], 4)} cft
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| 149 |
+
6. Bricks = Net Volume / Brick Vol × 1.05 = {data_dict['Bricks Required']}
|
| 150 |
+
7. Mortar = Net Volume × 0.25 = {round(calc_details['Mortar Volume (cft)'], 2)} cft
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| 151 |
+
8. Cement = Mortar × 1/6 = {round(calc_details['Cement Volume (cft)'], 2)} cft
|
| 152 |
+
9. Sand = Mortar × 5/6 = {round(calc_details['Sand Volume (cft)'], 2)} cft
|
| 153 |
+
10. Cement Bags = Cement / Bag Volume = {data_dict['Cement Bags']}
|
| 154 |
""")
|
| 155 |
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|
| 156 |
pdf.ln(5)
|
| 157 |
pdf.set_font("Arial", 'B', size=12)
|
| 158 |
pdf.cell(200, 10, "2D Plan with Dimensions (in ft)", ln=True)
|
| 159 |
pdf.image(image_path, x=10, y=None, w=180)
|
| 160 |
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|
| 161 |
tmp = NamedTemporaryFile(delete=False, suffix=".pdf")
|
| 162 |
pdf.output(tmp.name)
|
| 163 |
return tmp.name
|
| 164 |
|
| 165 |
+
def plot_rooms(shapes):
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|
| 166 |
fig, ax = plt.subplots()
|
| 167 |
+
for x0, y0, x1, y1 in shapes:
|
| 168 |
+
width = (x1 - x0)
|
| 169 |
+
height = (y1 - y0)
|
| 170 |
+
rect = plt.Rectangle((x0, y0), width, height, fill=False, edgecolor='blue', linewidth=2)
|
| 171 |
ax.add_patch(rect)
|
| 172 |
+
ax.set_title("🗏️ 2D Floor Plan")
|
| 173 |
+
ax.set_aspect("equal")
|
| 174 |
+
ax.axis("off")
|
| 175 |
+
st.pyplot(fig)
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|
| 176 |
|
| 177 |
+
if uploaded_file:
|
| 178 |
+
file_bytes = uploaded_file.read()
|
| 179 |
+
rooms, wall_thickness, doors, windows, room_shapes, wall_pairs = extract_geometry(file_bytes)
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|
| 180 |
|
| 181 |
+
if rooms:
|
| 182 |
+
st.subheader("🧱 Estimation Result")
|
| 183 |
+
number_of_bricks, sand_volume, cement_bags, calc_details = estimate(rooms, wall_thickness, doors, 1)
|
| 184 |
+
st.write(f"Number of Bricks: {number_of_bricks}")
|
| 185 |
+
st.write(f"Sand Volume (cft): {round(sand_volume, 2)}")
|
| 186 |
+
st.write(f"Cement Bags Required: {cement_bags}")
|
| 187 |
|
| 188 |
+
plot_rooms(room_shapes)
|
|
|
|
| 189 |
|
| 190 |
+
st.subheader("📄 Export")
|
| 191 |
+
pdf_file = generate_pdf({"Bricks Required": number_of_bricks, "Cement Bags": cement_bags}, calc_details, room_shapes)
|
| 192 |
+
st.download_button("Download PDF Report", pdf_file, file_name="estimation_report.pdf")
|