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xlsx-construction

xlsx-construction

github.com/datadrivenconstruction文档处理375130 次安装1 周前更新
代码仓库

关于 xlsx-construction

面向建筑表格工作流的 Excel 处理技能,涵盖成本估算、进度计划、RFI 记录和工程量计算。提供模板创建示例,并可处理 BIM 表格导出数据。

主要功能

  1. 01创建成本估算模板
  2. 02制作进度跟踪表
  3. 03创建 RFI 记录表
  4. 04处理 BIM 工程量计算
  5. 05应用表格公式规范

适用场景

  1. 01准备施工成本估算工作簿
  2. 02在进度表中跟踪任务和日期
  3. 03维护 RFI 记录
  4. 04整理 BIM 导出数据以计算工程量

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill xlsx-construction

安装后在 Claude Code 中输入/xlsx-construction确认已加载。

附带文件claw.jsoninstructions.md

详细介绍

用于建筑施工的 Excel 处理

概述

改编自 Anthropic 的 XLSX 技能,适用于建筑施工电子表格工作流。

建筑施工应用场景

1. 成本估算模板
from openpyxl import Workbook
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
from openpyxl.utils import get_column_letter

def create_estimate_template(output_path: str, project_name: str):
    """Create construction cost estimate template."""
    wb = Workbook()
    ws = wb.active
    ws.title = "Cost Estimate"

    # Styles
    header_font = Font(bold=True, size=12)
    currency_format = '$#,##0.00'
    thin_border = Border(
        left=Side(style='thin'),
        right=Side(style='thin'),
        top=Side(style='thin'),
        bottom=Side(style='thin')
    )
    header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")

    # Project header
    ws['A1'] = "CONSTRUCTION COST ESTIMATE"
    ws['A1'].font = Font(bold=True, size=16)
    ws['A2'] = f"Project: {project_name}"
    ws['A3'] = "Date:"
    ws['B3'] = "=TODAY()"

    # Column headers (row 5)
    headers = ['CSI Code', 'Description', 'Quantity', 'Unit', 'Unit Cost',
               'Labor', 'Material', 'Equipment', 'Total']
    for col, header in enumerate(headers, 1):
        cell = ws.cell(row=5, column=col, value=header)
        cell.font = Font(bold=True, color="FFFFFF")
        cell.fill = header_fill
        cell.border = thin_border
        cell.alignment = Alignment(horizontal='center')

    # Set column widths
    widths = [12, 40, 10, 8, 12, 12, 12, 12, 14]
    for i, width in enumerate(widths, 1):
        ws.column_dimensions[get_column_letter(i)].width = width

    # Sample data rows with formulas
    for row in range(6, 26):  # 20 empty rows
        # Total formula: Labor + Material + Equipment
        ws.cell(row=row, column=9,
                value=f"=SUM(F{row}:H{row})")

        # Apply borders
        for col in range(1, 10):
            ws.cell(row=row, column=col).border = thin_border

    # Currency formatting
    for col in [5, 6, 7, 8, 9]:  # Cost columns
        for row in range(6, 26):
            ws.cell(row=row, column=col).number_format = currency_format

    # Subtotals section
    ws['G27'] = "SUBTOTAL"
    ws['I27'] = "=SUM(I6:I25)"
    ws['I27'].number_format = currency_format

    ws['G28'] = "Contingency (10%)"
    ws['I28'] = "=I27*0.10"

    ws['G29'] = "TOTAL"
    ws['I29'] = "=I27+I28"
    ws['I29'].font = Font(bold=True, size=14)

    wb.save(output_path)
    return output_path
2. 进度跟踪表
def create_schedule_tracker(output_path: str, tasks: list):
    """Create construction schedule tracking spreadsheet."""
    wb = Workbook()
    ws = wb.active
    ws.title = "Schedule"

    # Headers
    headers = ['ID', 'Task', 'Start Date', 'End Date', 'Duration',
               'Progress', 'Status', 'Predecessor', 'Notes']

    # Status dropdown options
    from openpyxl.worksheet.datavalidation import DataValidation
    status_dv = DataValidation(
        type="list",
        formula1='"Not Started,In Progress,Complete,On Hold,Delayed"',
        allow_blank=True
    )
    ws.add_data_validation(status_dv)

    # Header row
    for col, header in enumerate(headers, 1):
        cell = ws.cell(row=1, column=col, value=header)
        cell.font = Font(bold=True)

    # Add tasks with formulas
    for i, task in enumerate(tasks, 2):
        ws.cell(row=i, column=1, value=task.get('id', i-1))
        ws.cell(row=i, column=2, value=task.get('name', ''))
        ws.cell(row=i, column=3, value=task.get('start', ''))
        ws.cell(row=i, column=4, value=task.get('end', ''))

        # Duration formula
        ws.cell(row=i, column=5, value=f"=D{i}-C{i}")

        # Progress bar (0-100%)
        ws.cell(row=i, column=6, value=task.get('progress', 0))
        ws.cell(row=i, column=6).number_format = '0%'

        # Status with validation
        status_cell = ws.cell(row=i, column=7, value=task.get('status', 'Not Started'))
        status_dv.add(status_cell)

    wb.save(output_path)
    return output_path
3. RFI 日志模板
def create_rfi_log(output_path: str):
    """Create RFI tracking log."""
    wb = Workbook()
    ws = wb.active
    ws.title = "RFI Log"

    headers = [
        'RFI #', 'Date Submitted', 'Subject', 'Spec Section',
        'Drawing Ref', 'Submitted By', 'Assigned To',
        'Response Due', 'Date Responded', 'Status', 'Days Open'
    ]

    for col, header in enumerate(headers, 1):
        ws.cell(row=1, column=col, value=header)

    # Days Open formula (in column K)
    for row in range(2, 100):
        ws.cell(row=row, column=11,
                value=f'=IF(I{row}="",TODAY()-B{row},I{row}-B{row})')

    # Conditional formatting for overdue items
    from openpyxl.formatting.rule import FormulaRule
    from openpyxl.styles import PatternFill

    red_fill = PatternFill(bgColor="FFC7CE")
    ws.conditional_formatting.add(
        'K2:K100',
        FormulaRule(formula=['K2>7'], fill=red_fill)
    )

    wb.save(output_path)
    return output_path
4. 工程量计算处理
import pandas as pd

def process_qto_from_bim(bim_xlsx: str, output_path: str):
    """Process BIM export for quantity takeoff."""
    # Read BIM export
    df = pd.read_excel(bim_xlsx)

    # Group by category and type
    qto = df.groupby(['Category', 'Type']).agg({
        'Volume': 'sum',
        'Area': 'sum',
        'Length': 'sum',
        'Count': 'count'
    }).reset_index()

    # Rename columns for clarity
    qto.columns = ['Category', 'Type', 'Total Volume (m³)',
                   'Total Area (m²)', 'Total Length (m)', 'Element Count']

    # Create workbook with formatting
    with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
        qto.to_excel(writer, sheet_name='QTO Summary', index=False)

        # Get workbook to apply formatting
        wb = writer.book
        ws = wb['QTO Summary']

        # Format numeric columns
        for col in ['C', 'D', 'E']:
            for row in range(2, len(qto) + 2):
                ws[f'{col}{row}'].number_format = '#,##0.00'

    return output_path

建筑施工电子表格最佳实践

颜色编码(行业标准)
  • 蓝色文字:输入值(工程量、费率)
  • 黑色文字:公式和计算结果
  • 绿色文字:来自其他工作表的链接
  • 黄色高亮:待核实的假设
公式指南
  1. 切勿在公式中硬编码数值
  2. 创建单独的假设单元格
  3. 使用命名区域以提高清晰度
  4. 检查单位
错误预防
# Add error handling to formulas
formula_with_error_check = "=IFERROR(B5/C5, 0)"

与 DDC 集成

# Convert BIM export to estimate
from ddc_toolkit import RevitExporter, CWICRSemanticSearch

# Export BIM data
exporter = RevitExporter()
bim_data = exporter.read_elements("project.xlsx")

# Process QTO
qto = process_qto_from_bim("project.xlsx", "qto_output.xlsx")

# Match to cost database
search = CWICRSemanticSearch()
for category in bim_data['Category'].unique():
    prices = search.search_work_items(category)
    # Apply prices to QTO...

依赖项

pip install openpyxl pandas xlrd

资源

评论

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