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Estimate Builder

by @qmohd

Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead.

Versionv1.0.1
Downloads1,024
TERMINAL
clawhub install estimate-builder-qmohd

πŸ“– About This Skill


name: "estimate-builder" description: "Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw":{"emoji":"πŸ“Š","os":["darwin","linux","win32"],"homepage":"https://datadrivenconstruction.io","requires":{"bins":["python3"]}}}

Estimate Builder

Business Case

Problem Statement

Estimate creation challenges:
  • Complex cost structures
  • Multiple cost categories
  • Markup calculations
  • Format requirements vary
  • Solution

    Structured estimate builder that creates professional construction estimates with proper cost categorization, markups, and export capabilities.

    Technical Implementation

    import pandas as pd
    from typing import Dict, Any, List, Optional
    from dataclasses import dataclass, field
    from datetime import date
    from enum import Enum

    class CostCategory(Enum): LABOR = "labor" MATERIAL = "material" EQUIPMENT = "equipment" SUBCONTRACTOR = "subcontractor" OTHER = "other"

    @dataclass class EstimateLineItem: line_number: int wbs_code: str description: str quantity: float unit: str unit_cost: float category: CostCategory notes: str = ""

    @property def total_cost(self) -> float: return round(self.quantity * self.unit_cost, 2)

    @dataclass class CostSummary: labor: float = 0 material: float = 0 equipment: float = 0 subcontractor: float = 0 other: float = 0

    @property def direct_cost(self) -> float: return self.labor + self.material + self.equipment + self.subcontractor + self.other

    @dataclass class Markup: name: str rate: float # As decimal (0.10 = 10%) base: str = "direct" # "direct" or "subtotal"

    class EstimateBuilder: """Build construction project estimates."""

    def __init__(self, project_name: str, project_number: str = ""): self.project_name = project_name self.project_number = project_number self.estimate_date = date.today() self.items: List[EstimateLineItem] = [] self.markups: List[Markup] = [] self._next_line = 1

    def add_item(self, wbs_code: str, description: str, quantity: float, unit: str, unit_cost: float, category: CostCategory = CostCategory.OTHER, notes: str = "") -> EstimateLineItem: """Add line item to estimate."""

    item = EstimateLineItem( line_number=self._next_line, wbs_code=wbs_code, description=description, quantity=quantity, unit=unit, unit_cost=unit_cost, category=category, notes=notes ) self.items.append(item) self._next_line += 1 return item

    def add_markup(self, name: str, rate: float, base: str = "direct"): """Add markup (overhead, profit, contingency, etc.).""" self.markups.append(Markup(name=name, rate=rate, base=base))

    def set_standard_markups(self, overhead: float = 0.15, profit: float = 0.10, contingency: float = 0.05): """Set standard construction markups."""

    self.markups = [ Markup("General Conditions / Overhead", overhead, "direct"), Markup("Profit", profit, "subtotal"), Markup("Contingency", contingency, "subtotal") ]

    def get_cost_summary(self) -> CostSummary: """Get cost summary by category."""

    summary = CostSummary() for item in self.items: cost = item.total_cost if item.category == CostCategory.LABOR: summary.labor += cost elif item.category == CostCategory.MATERIAL: summary.material += cost elif item.category == CostCategory.EQUIPMENT: summary.equipment += cost elif item.category == CostCategory.SUBCONTRACTOR: summary.subcontractor += cost else: summary.other += cost return summary

    def calculate_total(self) -> Dict[str, Any]: """Calculate total estimate with markups."""

    summary = self.get_cost_summary() direct_cost = summary.direct_cost

    markups_detail = [] subtotal = direct_cost

    for markup in self.markups: if markup.base == "direct": amount = direct_cost * markup.rate else: amount = subtotal * markup.rate

    markups_detail.append({ 'name': markup.name, 'rate': f"{markup.rate * 100:.1f}%", 'amount': round(amount, 2) }) subtotal += amount

    return { 'cost_summary': { 'labor': round(summary.labor, 2), 'material': round(summary.material, 2), 'equipment': round(summary.equipment, 2), 'subcontractor': round(summary.subcontractor, 2), 'other': round(summary.other, 2), 'direct_cost': round(direct_cost, 2) }, 'markups': markups_detail, 'total_markups': round(subtotal - direct_cost, 2), 'grand_total': round(subtotal, 2) }

    def get_items_by_wbs(self) -> Dict[str, List[EstimateLineItem]]: """Group items by WBS code prefix."""

    by_wbs = {} for item in self.items: prefix = item.wbs_code.split('.')[0] if '.' in item.wbs_code else item.wbs_code if prefix not in by_wbs: by_wbs[prefix] = [] by_wbs[prefix].append(item) return by_wbs

    def import_from_df(self, df: pd.DataFrame): """Import line items from DataFrame."""

    for _, row in df.iterrows(): self.add_item( wbs_code=str(row.get('wbs_code', '')), description=row['description'], quantity=float(row['quantity']), unit=row['unit'], unit_cost=float(row['unit_cost']), category=CostCategory(row.get('category', 'other').lower()), notes=row.get('notes', '') )

    def export_to_df(self) -> pd.DataFrame: """Export estimate to DataFrame."""

    data = [] for item in self.items: data.append({ 'Line': item.line_number, 'WBS': item.wbs_code, 'Description': item.description, 'Qty': item.quantity, 'Unit': item.unit, 'Unit Cost': item.unit_cost, 'Total': item.total_cost, 'Category': item.category.value, 'Notes': item.notes }) return pd.DataFrame(data)

    def export_to_excel(self, output_path: str) -> str: """Export estimate to Excel."""

    totals = self.calculate_total()

    with pd.ExcelWriter(output_path, engine='openpyxl') as writer: # Cover sheet cover_df = pd.DataFrame([{ 'Project Name': self.project_name, 'Project Number': self.project_number, 'Estimate Date': self.estimate_date, 'Total Items': len(self.items), 'Direct Cost': totals['cost_summary']['direct_cost'], 'Grand Total': totals['grand_total'] }]) cover_df.to_excel(writer, sheet_name='Summary', index=False)

    # Line items items_df = self.export_to_df() items_df.to_excel(writer, sheet_name='Line Items', index=False)

    # Cost breakdown breakdown_df = pd.DataFrame([totals['cost_summary']]) breakdown_df.to_excel(writer, sheet_name='Cost Breakdown', index=False)

    # Markups if totals['markups']: markups_df = pd.DataFrame(totals['markups']) markups_df.to_excel(writer, sheet_name='Markups', index=False)

    return output_path

    def validate(self) -> List[str]: """Validate estimate for common issues."""

    issues = []

    if not self.items: issues.append("Estimate has no line items")

    for item in self.items: if item.quantity <= 0: issues.append(f"Line {item.line_number}: Invalid quantity") if item.unit_cost < 0: issues.append(f"Line {item.line_number}: Negative unit cost") if not item.description: issues.append(f"Line {item.line_number}: Missing description")

    if not self.markups: issues.append("No markups defined (overhead, profit)")

    return issues

    Quick Start

    # Create estimate
    estimate = EstimateBuilder("Office Building A", "PRJ-2024-001")

    Add line items

    estimate.add_item("01.01", "Site Preparation", 5000, "SF", 2.50, CostCategory.OTHER) estimate.add_item("03.01", "Concrete Foundation", 200, "CY", 350, CostCategory.MATERIAL) estimate.add_item("03.02", "Foundation Formwork", 1500, "SF", 8.50, CostCategory.LABOR) estimate.add_item("05.01", "Structural Steel", 50, "TON", 4500, CostCategory.SUBCONTRACTOR)

    Set markups

    estimate.set_standard_markups(overhead=0.15, profit=0.10, contingency=0.05)

    Calculate total

    result = estimate.calculate_total() print(f"Direct Cost: ${result['cost_summary']['direct_cost']:,.2f}") print(f"Grand Total: ${result['grand_total']:,.2f}")

    Common Use Cases

    1. Cost by Category

    summary = estimate.get_cost_summary()
    print(f"Labor: ${summary.labor:,.2f}")
    print(f"Material: ${summary.material:,.2f}")
    

    2. Export to Excel

    estimate.export_to_excel("estimate_output.xlsx")
    

    3. Validate Estimate

    issues = estimate.validate()
    for issue in issues:
        print(f"Warning: {issue}")
    

    Resources

  • DDC Book: Chapter 3.1 - Cost Calculations and Estimates
  • Website: https://datadrivenconstruction.io
  • πŸ’‘ Examples

    # Create estimate
    estimate = EstimateBuilder("Office Building A", "PRJ-2024-001")

    Add line items

    estimate.add_item("01.01", "Site Preparation", 5000, "SF", 2.50, CostCategory.OTHER) estimate.add_item("03.01", "Concrete Foundation", 200, "CY", 350, CostCategory.MATERIAL) estimate.add_item("03.02", "Foundation Formwork", 1500, "SF", 8.50, CostCategory.LABOR) estimate.add_item("05.01", "Structural Steel", 50, "TON", 4500, CostCategory.SUBCONTRACTOR)

    Set markups

    estimate.set_standard_markups(overhead=0.15, profit=0.10, contingency=0.05)

    Calculate total

    result = estimate.calculate_total() print(f"Direct Cost: ${result['cost_summary']['direct_cost']:,.2f}") print(f"Grand Total: ${result['grand_total']:,.2f}")