关于 material-procurement-tracker
用于跟踪施工材料采购的技能,适合长交期物料可能影响进度的项目。README 展示了如何记录物料的规范章节、数量、单位和需求日期。
主要功能
- 01跟踪采购物料
- 02记录规范章节
- 03设置数量与单位
- 04跟踪需求日期
适用场景
- 01监控长交期材料
- 02记录项目采购需求
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 material-procurement-tracker安装后在 Claude Code 中输入/material-procurement-tracker确认已加载。
附带文件claw.jsoninstructions.md
详细介绍
材料采购跟踪器
业务案例
长交期物料和材料采购需要仔细跟踪,以避免工期延误。
技术实现
import pandas as pd
from datetime import date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class ProcurementStatus(Enum):
REQUISITIONED = "requisitioned"
RFQ_SENT = "rfq_sent"
QUOTED = "quoted"
PO_ISSUED = "po_issued"
IN_PRODUCTION = "in_production"
SHIPPED = "shipped"
DELIVERED = "delivered"
class Priority(Enum):
CRITICAL = "critical"
HIGH = "high"
NORMAL = "normal"
LOW = "low"
@dataclass
class ProcurementItem:
item_id: str
description: str
spec_section: str
quantity: float
unit: str
required_date: date
lead_time_days: int
status: ProcurementStatus
priority: Priority
vendor: str = ""
po_number: str = ""
po_amount: float = 0.0
order_date: Optional[date] = None
expected_delivery: Optional[date] = None
actual_delivery: Optional[date] = None
@property
def must_order_by(self) -> date:
return self.required_date - timedelta(days=self.lead_time_days)
@property
def is_late_to_order(self) -> bool:
if self.status in [ProcurementStatus.PO_ISSUED, ProcurementStatus.IN_PRODUCTION,
ProcurementStatus.SHIPPED, ProcurementStatus.DELIVERED]:
return False
return date.today() > self.must_order_by
class MaterialProcurementTracker:
def __init__(self, project_name: str):
self.project_name = project_name
self.items: Dict[str, ProcurementItem] = {}
self._counter = 0
def add_item(self, description: str, spec_section: str, quantity: float,
unit: str, required_date: date, lead_time_days: int,
priority: Priority = Priority.NORMAL) -> ProcurementItem:
self._counter += 1
item_id = f"PROC-{self._counter:04d}"
item = ProcurementItem(
item_id=item_id,
description=description,
spec_section=spec_section,
quantity=quantity,
unit=unit,
required_date=required_date,
lead_time_days=lead_time_days,
status=ProcurementStatus.REQUISITIONED,
priority=priority
)
self.items[item_id] = item
return item
def issue_po(self, item_id: str, vendor: str, po_number: str,
amount: float, expected_delivery: date):
if item_id in self.items:
item = self.items[item_id]
item.status = ProcurementStatus.PO_ISSUED
item.vendor = vendor
item.po_number = po_number
item.po_amount = amount
item.order_date = date.today()
item.expected_delivery = expected_delivery
def update_status(self, item_id: str, status: ProcurementStatus):
if item_id in self.items:
self.items[item_id].status = status
if status == ProcurementStatus.DELIVERED:
self.items[item_id].actual_delivery = date.today()
def get_items_to_order(self) -> List[ProcurementItem]:
"""Get items that need to be ordered soon."""
cutoff = date.today() + timedelta(days=14)
return [i for i in self.items.values()
if i.status in [ProcurementStatus.REQUISITIONED, ProcurementStatus.RFQ_SENT,
ProcurementStatus.QUOTED]
and i.must_order_by <= cutoff]
def get_late_items(self) -> List[ProcurementItem]:
return [i for i in self.items.values() if i.is_late_to_order]
def get_summary(self) -> Dict[str, Any]:
by_status = {}
total_value = 0
for item in self.items.values():
status = item.status.value
by_status[status] = by_status.get(status, 0) + 1
total_value += item.po_amount
return {
'total_items': len(self.items),
'by_status': by_status,
'total_po_value': total_value,
'items_to_order': len(self.get_items_to_order()),
'late_items': len(self.get_late_items())
}
def export_log(self, output_path: str):
data = [{
'ID': i.item_id,
'Description': i.description,
'Spec': i.spec_section,
'Qty': i.quantity,
'Unit': i.unit,
'Required': i.required_date,
'Lead Time': i.lead_time_days,
'Must Order By': i.must_order_by,
'Status': i.status.value,
'Vendor': i.vendor,
'PO': i.po_number,
'Amount': i.po_amount
} for i in self.items.values()]
pd.DataFrame(data).to_excel(output_path, index=False)
快速开始
tracker = MaterialProcurementTracker("Office Tower")
item = tracker.add_item(
description="Structural Steel W14x90",
spec_section="05 12 00",
quantity=500,
unit="TON",
required_date=date(2024, 6, 1),
lead_time_days=90,
priority=Priority.CRITICAL
)
tracker.issue_po(item.item_id, "ABC Steel", "PO-2024-001", 450000,
date(2024, 5, 15))
urgent = tracker.get_items_to_order()
print(f"Items needing order: {len(urgent)}")
资源
- DDC Book:第 3.4 章 - 采购
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