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
- 01跟踪文档提交情况
- 02管理修订和审批状态
- 03汇总完成度与逾期项目
- 04查看承包商状态
- 05预测完成情况
适用场景
- 01监控竣工图文档进度
- 02在移交前找出逾期文档
- 03按承包商查看待处理项目
- 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
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