DDC_Skills_for_AI_Agents_in_Construction cwicr-report-generator
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
install
source · Clone the upstream repo
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction "$T" && mkdir -p ~/.claude/skills && cp -r "$T/1_DDC_Toolkit/CWICR-Database/cwicr-report-generator" ~/.claude/skills/datadrivenconstruction-ddc-skills-for-ai-agents-in-construction-cwicr-report-gen && rm -rf "$T"
manifest:
1_DDC_Toolkit/CWICR-Database/cwicr-report-generator/SKILL.mdsource content
CWICR Report Generator
Overview
Generate professional cost reports from CWICR calculations - executive summaries, detailed breakdowns, charts, and export to multiple formats.
Python Implementation
import pandas as pd from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from datetime import datetime from pathlib import Path import json @dataclass class ReportSection: """Report section content.""" title: str content: str chart_type: Optional[str] = None chart_data: Optional[Dict] = None @dataclass class CostReport: """Complete cost report.""" project_name: str generated_date: datetime total_cost: float currency: str sections: List[ReportSection] line_items: List[Dict] summary: Dict[str, Any] class CWICRReportGenerator: """Generate cost estimation reports.""" def __init__(self, project_name: str = "Project", currency: str = "USD"): self.project_name = project_name self.currency = currency self.sections: List[ReportSection] = [] self.line_items: List[Dict] = [] def add_summary(self, summary_data: Dict[str, float]): """Add executive summary section.""" content = f""" <div class="summary-box"> <h3>Cost Summary</h3> <table class="summary-table"> <tr><td>Labor</td><td class="amount">${summary_data.get('labor', 0):,.2f}</td></tr> <tr><td>Materials</td><td class="amount">${summary_data.get('material', 0):,.2f}</td></tr> <tr><td>Equipment</td><td class="amount">${summary_data.get('equipment', 0):,.2f}</td></tr> <tr><td>Overhead</td><td class="amount">${summary_data.get('overhead', 0):,.2f}</td></tr> <tr><td>Profit</td><td class="amount">${summary_data.get('profit', 0):,.2f}</td></tr> <tr class="total"><td>TOTAL</td><td class="amount">${summary_data.get('total', 0):,.2f}</td></tr> </table> </div> """ self.sections.append(ReportSection( title="Executive Summary", content=content, chart_type="pie", chart_data={ 'labels': ['Labor', 'Materials', 'Equipment', 'Overhead', 'Profit'], 'values': [ summary_data.get('labor', 0), summary_data.get('material', 0), summary_data.get('equipment', 0), summary_data.get('overhead', 0), summary_data.get('profit', 0) ] } )) def add_breakdown_by_category(self, breakdown: Dict[str, float]): """Add breakdown by category section.""" rows = "" for category, cost in sorted(breakdown.items(), key=lambda x: -x[1]): rows += f"<tr><td>{category}</td><td class='amount'>${cost:,.2f}</td></tr>" content = f""" <table class="detail-table"> <thead><tr><th>Category</th><th>Cost</th></tr></thead> <tbody>{rows}</tbody> </table> """ self.sections.append(ReportSection( title="Cost by Category", content=content, chart_type="bar", chart_data={ 'labels': list(breakdown.keys()), 'values': list(breakdown.values()) } )) def add_line_items(self, items: List[Dict]): """Add detailed line items.""" self.line_items = items rows = "" for item in items[:50]: # Limit for report rows += f""" <tr> <td>{item.get('code', '')}</td> <td>{item.get('description', '')[:50]}</td> <td>{item.get('quantity', 0):,.2f}</td> <td>{item.get('unit', '')}</td> <td class="amount">${item.get('unit_price', 0):,.2f}</td> <td class="amount">${item.get('total', 0):,.2f}</td> </tr> """ content = f""" <table class="line-items"> <thead> <tr> <th>Code</th> <th>Description</th> <th>Qty</th> <th>Unit</th> <th>Unit Price</th> <th>Total</th> </tr> </thead> <tbody>{rows}</tbody> </table> """ self.sections.append(ReportSection( title="Line Items", content=content )) def generate_html(self) -> str: """Generate HTML report.""" sections_html = "" for section in self.sections: sections_html += f""" <section class="report-section"> <h2>{section.title}</h2> {section.content} </section> """ html = f""" <!DOCTYPE html> <html> <head> <title>Cost Report - {self.project_name}</title> <style> body {{ font-family: 'Segoe UI', Arial, sans-serif; margin: 40px; background: #f5f5f5; }} .report-container {{ max-width: 1200px; margin: 0 auto; background: white; padding: 40px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }} h1 {{ color: #2c3e50; border-bottom: 3px solid #3498db; padding-bottom: 10px; }} h2 {{ color: #34495e; margin-top: 30px; }} .summary-box {{ background: #ecf0f1; padding: 20px; border-radius: 8px; }} table {{ width: 100%; border-collapse: collapse; margin: 20px 0; }} th, td {{ padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }} th {{ background: #3498db; color: white; }} .amount {{ text-align: right; font-family: monospace; }} .total {{ font-weight: bold; background: #f8f9fa; }} .line-items td {{ font-size: 0.9em; }} .meta {{ color: #7f8c8d; font-size: 0.9em; margin-bottom: 20px; }} </style> </head> <body> <div class="report-container"> <h1>Cost Estimation Report</h1> <div class="meta"> <p>Project: {self.project_name}</p> <p>Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}</p> <p>Currency: {self.currency}</p> </div> {sections_html} <footer style="margin-top: 40px; color: #95a5a6; text-align: center;"> Generated by DDC CWICR | DataDrivenConstruction.io </footer> </div> </body> </html> """ return html def save_html(self, output_path: str) -> str: """Save HTML report to file.""" html = self.generate_html() with open(output_path, 'w', encoding='utf-8') as f: f.write(html) return output_path def generate_excel(self, output_path: str) -> str: """Generate Excel report.""" with pd.ExcelWriter(output_path, engine='openpyxl') as writer: # Summary sheet if self.sections: summary_data = [] for section in self.sections: if section.chart_data: for i, label in enumerate(section.chart_data.get('labels', [])): summary_data.append({ 'Category': label, 'Amount': section.chart_data.get('values', [])[i] }) if summary_data: pd.DataFrame(summary_data).to_excel( writer, sheet_name='Summary', index=False) # Line items sheet if self.line_items: pd.DataFrame(self.line_items).to_excel( writer, sheet_name='Line Items', index=False) return output_path def generate_json(self) -> str: """Generate JSON report.""" report = { 'project_name': self.project_name, 'generated_date': datetime.now().isoformat(), 'currency': self.currency, 'sections': [ { 'title': s.title, 'chart_data': s.chart_data } for s in self.sections ], 'line_items': self.line_items } return json.dumps(report, indent=2) class QuickReport: """Quick report generation from cost data.""" @staticmethod def from_dataframe(df: pd.DataFrame, project_name: str = "Project") -> CWICRReportGenerator: """Generate report from cost DataFrame.""" gen = CWICRReportGenerator(project_name) # Calculate summary summary = { 'labor': df['labor_cost'].sum() if 'labor_cost' in df.columns else 0, 'material': df['material_cost'].sum() if 'material_cost' in df.columns else 0, 'equipment': df['equipment_cost'].sum() if 'equipment_cost' in df.columns else 0, 'overhead': df['overhead_cost'].sum() if 'overhead_cost' in df.columns else 0, 'profit': df['profit_cost'].sum() if 'profit_cost' in df.columns else 0, 'total': df['total_cost'].sum() if 'total_cost' in df.columns else 0 } gen.add_summary(summary) # Category breakdown if 'category' in df.columns and 'total_cost' in df.columns: breakdown = df.groupby('category')['total_cost'].sum().to_dict() gen.add_breakdown_by_category(breakdown) # Line items items = df.to_dict('records') gen.add_line_items(items) return gen
Quick Start
# Create report generator gen = CWICRReportGenerator("Office Building", currency="EUR") # Add sections gen.add_summary({ 'labor': 125000, 'material': 350000, 'equipment': 75000, 'overhead': 82500, 'profit': 63250, 'total': 695750 }) # Save reports gen.save_html("cost_report.html") gen.generate_excel("cost_report.xlsx")
From DataFrame
# Quick report from cost DataFrame report = QuickReport.from_dataframe(cost_df, "My Project") report.save_html("quick_report.html")
Resources
- DDC Book: Chapter 4.2 - ETL Load Reports