as-built-tracker について
建設プロジェクトの竣工図書について、提出、改訂、承認を管理するトラッカーです。プロジェクトチームが文書の充足状況や業者別の状態、引き渡し準備を把握できます。
主な機能
- 01文書提出の追跡
- 02改訂と承認状況の管理
- 03完了率と期限超過項目の集計
- 04業者別ステータスの確認
- 05完了時期の予測
活用シーン
- 01竣工図書の進捗確認
- 02引き渡し前の期限超過文書の特定
- 03業者別の未処理項目の確認
- 04計画どおりの完了見込みの推定
インストール
コマンドをコピーしてターミナルで実行します。
$
npx skills add https:/ / github.com/ datadrivenconstruction/ ddc_skills_for_ai_agents_in_construction --skill as-built-trackerインストール後、Claude Code で/as-built-trackerを入力して読み込まれたか確認します。
同梱ファイルclaw.jsoninstructions.md
詳細
竣工図書トラッカー
ビジネス上の背景
課題
竣工図書の管理における課題:
- 数百点に及ぶ図面の追跡
- 改訂の管理
- 完全性の確保
- 引き渡し期限の遵守
解決策
竣工図書の提出、改訂、承認状況を体系的に追跡します。
技術的な実装
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
クイックスタート
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")
よくあるユースケース
1. ステータスの概要
summary = tracker.get_summary()
print(f"Completion: {summary['completion_rate']}%")
print(f"Overdue: {summary['overdue']}")
2. 請負業者レポート
status = tracker.get_contractor_status("ABC Architects")
print(f"Pending: {status['pending']}")
3. 予測
forecast = tracker.forecast_completion()
print(f"On Track: {forecast['on_track']}")
リソース
- DDC Book:第 5.1 章 - 文書管理
コメント
Markdown 対応