mcpField
A
as-built-tracker

as-built-tracker

github.com/datadrivenconstruction文档处理375109 次安装1 周前更新
代码仓库

关于 as-built-tracker

用于管理建设项目竣工图文档提交、修订和审批情况的跟踪工具,帮助项目团队掌握文档完整度、承包商状态及移交准备情况。

主要功能

  1. 01跟踪文档提交情况
  2. 02管理修订和审批状态
  3. 03汇总完成度与逾期项目
  4. 04查看承包商状态
  5. 05预测完成情况

适用场景

  1. 01监控竣工图文档进度
  2. 02在移交前找出逾期文档
  3. 03按承包商查看待处理项目
  4. 04估算工作能否按计划完成

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 as-built-tracker

安装后在 Claude Code 中输入/as-built-tracker确认已加载。

附带文件claw.jsoninstructions.md

详细介绍

竣工文档跟踪器

业务案例

问题陈述

竣工文档面临的挑战:

  • 跟踪数百张图纸
  • 管理修订版本
  • 确保文档完整
  • 按时完成移交
解决方案

系统化跟踪竣工文档的提交、修订和审批状态。

技术实现

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


class DocumentStatus(Enum):
    NOT_STARTED = "not_started"
    IN_PROGRESS = "in_progress"
    SUBMITTED = "submitted"
    UNDER_REVIEW = "under_review"
    APPROVED = "approved"
    REJECTED = "rejected"
    RESUBMIT = "resubmit"


class DocumentType(Enum):
    ARCHITECTURAL = "architectural"
    STRUCTURAL = "structural"
    MECHANICAL = "mechanical"
    ELECTRICAL = "electrical"
    PLUMBING = "plumbing"
    FIRE_PROTECTION = "fire_protection"
    CIVIL = "civil"
    LANDSCAPE = "landscape"
    SPECIFICATIONS = "specifications"
    O_AND_M = "o_and_m"


@dataclass
class AsBuiltDocument:
    document_id: str
    document_number: str
    title: str
    doc_type: DocumentType
    discipline: str
    contractor: str
    status: DocumentStatus
    current_revision: str
    required_date: date
    submitted_date: Optional[date] = None
    approved_date: Optional[date] = None
    reviewer: str = ""
    comments: str = ""
    file_path: str = ""


@dataclass
class DocumentSubmission:
    submission_id: str
    document_id: str
    revision: str
    submission_date: date
    submitted_by: str
    file_path: str
    status: DocumentStatus
    review_comments: str = ""


class AsBuiltTracker:
    """Track as-built documentation."""

    def __init__(self, project_name: str, handover_date: date):
        self.project_name = project_name
        self.handover_date = handover_date
        self.documents: Dict[str, AsBuiltDocument] = {}
        self.submissions: List[DocumentSubmission] = []
        self._next_id = 1

    def add_document(self,
                     document_number: str,
                     title: str,
                     doc_type: DocumentType,
                     discipline: str,
                     contractor: str,
                     required_date: date = None) -> AsBuiltDocument:
        """Add document to tracking."""

        doc_id = f"DOC-{self._next_id:04d}"
        self._next_id += 1

        if required_date is None:
            required_date = self.handover_date - timedelta(days=14)

        doc = AsBuiltDocument(
            document_id=doc_id,
            document_number=document_number,
            title=title,
            doc_type=doc_type,
            discipline=discipline,
            contractor=contractor,
            status=DocumentStatus.NOT_STARTED,
            current_revision="0",
            required_date=required_date
        )

        self.documents[doc_id] = doc
        return doc

    def import_document_list(self, df: pd.DataFrame):
        """Import document list from DataFrame."""

        for _, row in df.iterrows():
            doc_type = DocumentType(row.get('type', 'architectural').lower())
            req_date = pd.to_datetime(row.get('required_date', self.handover_date)).date() if 'required_date' in row else None

            self.add_document(
                document_number=str(row['document_number']),
                title=row['title'],
                doc_type=doc_type,
                discipline=row.get('discipline', ''),
                contractor=row.get('contractor', ''),
                required_date=req_date
            )

    def record_submission(self,
                          document_id: str,
                          revision: str,
                          submitted_by: str,
                          file_path: str = "") -> Optional[DocumentSubmission]:
        """Record document submission."""

        if document_id not in self.documents:
            return None

        doc = self.documents[document_id]

        submission = DocumentSubmission(
            submission_id=f"SUB-{len(self.submissions)+1:04d}",
            document_id=document_id,
            revision=revision,
            submission_date=date.today(),
            submitted_by=submitted_by,
            file_path=file_path,
            status=DocumentStatus.SUBMITTED
        )

        self.submissions.append(submission)

        # Update document
        doc.status = DocumentStatus.SUBMITTED
        doc.current_revision = revision
        doc.submitted_date = date.today()

        return submission

    def review_submission(self,
                          document_id: str,
                          approved: bool,
                          reviewer: str,
                          comments: str = ""):
        """Review submitted document."""

        if document_id not in self.documents:
            return

        doc = self.documents[document_id]

        if approved:
            doc.status = DocumentStatus.APPROVED
            doc.approved_date = date.today()
        else:
            doc.status = DocumentStatus.REJECTED

        doc.reviewer = reviewer
        doc.comments = comments

        # Update latest submission
        for sub in reversed(self.submissions):
            if sub.document_id == document_id:
                sub.status = DocumentStatus.APPROVED if approved else DocumentStatus.REJECTED
                sub.review_comments = comments
                break

    def get_summary(self) -> Dict[str, Any]:
        """Get documentation status summary."""

        docs = list(self.documents.values())
        today = date.today()

        # Status counts
        status_counts = {}
        for status in DocumentStatus:
            status_counts[status.value] = sum(1 for d in docs if d.status == status)

        # By type
        by_type = {}
        for doc_type in DocumentType:
            pending = sum(1 for d in docs if d.doc_type == doc_type and d.status != DocumentStatus.APPROVED)
            if pending > 0:
                by_type[doc_type.value] = pending

        # Overdue
        overdue = sum(
            1 for d in docs
            if d.required_date < today and d.status != DocumentStatus.APPROVED
        )

        # Completion rate
        approved = sum(1 for d in docs if d.status == DocumentStatus.APPROVED)
        completion = (approved / len(docs) * 100) if docs else 0

        return {
            'total_documents': len(docs),
            'approved': approved,
            'completion_rate': round(completion, 1),
            'by_status': status_counts,
            'by_type': by_type,
            'overdue': overdue,
            'days_to_handover': (self.handover_date - today).days
        }

    def get_contractor_status(self, contractor: str) -> Dict[str, Any]:
        """Get status for specific contractor."""

        docs = [d for d in self.documents.values() if d.contractor == contractor]

        approved = sum(1 for d in docs if d.status == DocumentStatus.APPROVED)
        pending = len(docs) - approved

        return {
            'contractor': contractor,
            'total': len(docs),
            'approved': approved,
            'pending': pending,
            'completion_rate': round(approved / len(docs) * 100, 1) if docs else 0
        }

    def get_overdue_documents(self) -> List[Dict[str, Any]]:
        """Get overdue documents."""

        today = date.today()
        overdue = []

        for doc in self.documents.values():
            if doc.required_date < today and doc.status != DocumentStatus.APPROVED:
                overdue.append({
                    'document_id': doc.document_id,
                    'document_number': doc.document_number,
                    'title': doc.title,
                    'contractor': doc.contractor,
                    'required_date': doc.required_date,
                    'days_overdue': (today - doc.required_date).days,
                    'status': doc.status.value
                })

        return sorted(overdue, key=lambda x: x['days_overdue'], reverse=True)

    def forecast_completion(self) -> Dict[str, Any]:
        """Forecast documentation completion."""

        summary = self.get_summary()
        pending = summary['total_documents'] - summary['approved']

        # Calculate submission rate
        recent_approvals = sum(
            1 for d in self.documents.values()
            if d.approved_date and d.approved_date >= date.today() - timedelta(days=14)
        )
        weekly_rate = recent_approvals / 2 if recent_approvals > 0 else 1

        weeks_needed = pending / weekly_rate if weekly_rate > 0 else pending
        projected_completion = date.today() + timedelta(weeks=weeks_needed)

        return {
            'pending_documents': pending,
            'approval_rate_per_week': round(weekly_rate, 1),
            'weeks_needed': round(weeks_needed, 1),
            'projected_completion': projected_completion,
            'handover_date': self.handover_date,
            'on_track': projected_completion <= self.handover_date
        }

    def generate_transmittal(self,
                              document_ids: List[str],
                              to: str,
                              subject: str) -> Dict[str, Any]:
        """Generate transmittal for documents."""

        docs = [self.documents[d] for d in document_ids if d in self.documents]

        return {
            'transmittal_number': f"TR-{date.today().strftime('%Y%m%d')}-001",
            'date': date.today(),
            'from': self.project_name,
            'to': to,
            'subject': subject,
            'documents': [
                {
                    'number': d.document_number,
                    'title': d.title,
                    'revision': d.current_revision
                }
                for d in docs
            ],
            'document_count': len(docs)
        }

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

        summary = self.get_summary()

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Summary
            summary_df = pd.DataFrame([{
                'Project': self.project_name,
                'Handover Date': self.handover_date,
                'Total Documents': summary['total_documents'],
                'Approved': summary['approved'],
                'Completion %': summary['completion_rate'],
                'Overdue': summary['overdue'],
                'Days to Handover': summary['days_to_handover']
            }])
            summary_df.to_excel(writer, sheet_name='Summary', index=False)

            # All Documents
            docs_df = pd.DataFrame([
                {
                    'ID': d.document_id,
                    'Number': d.document_number,
                    'Title': d.title,
                    'Type': d.doc_type.value,
                    'Discipline': d.discipline,
                    'Contractor': d.contractor,
                    'Status': d.status.value,
                    'Revision': d.current_revision,
                    'Required': d.required_date,
                    'Submitted': d.submitted_date,
                    'Approved': d.approved_date
                }
                for d in self.documents.values()
            ])
            docs_df.to_excel(writer, sheet_name='Documents', index=False)

            # Overdue
            overdue = self.get_overdue_documents()
            if overdue:
                overdue_df = pd.DataFrame(overdue)
                overdue_df.to_excel(writer, sheet_name='Overdue', index=False)

            # By Contractor
            contractors = set(d.contractor for d in self.documents.values())
            contractor_data = [self.get_contractor_status(c) for c in contractors]
            if contractor_data:
                contractor_df = pd.DataFrame(contractor_data)
                contractor_df.to_excel(writer, sheet_name='By Contractor', index=False)

        return output_path

快速入门

from datetime import date, timedelta

# Initialize tracker
tracker = AsBuiltTracker("Office Building A", handover_date=date(2024, 12, 31))

# Add documents
tracker.add_document(
    document_number="A-001",
    title="Floor Plans Level 1-5",
    doc_type=DocumentType.ARCHITECTURAL,
    discipline="Architecture",
    contractor="ABC Architects"
)

tracker.add_document(
    document_number="M-001",
    title="HVAC Layout",
    doc_type=DocumentType.MECHANICAL,
    discipline="HVAC",
    contractor="XYZ MEP"
)

# Record submission
tracker.record_submission("DOC-0001", revision="A", submitted_by="John Smith")

# Review
tracker.review_submission("DOC-0001", approved=True, reviewer="PM", comments="Approved")

常见用例

1. 状态摘要
summary = tracker.get_summary()
print(f"Completion: {summary['completion_rate']}%")
print(f"Overdue: {summary['overdue']}")
2. 承包商报告
status = tracker.get_contractor_status("ABC Architects")
print(f"Pending: {status['pending']}")
3. 预测
forecast = tracker.forecast_completion()
print(f"On Track: {forecast['on_track']}")

资源

  • DDC Book:第 5.1 章——文档管理

评论

支持 Markdown