bambu-studio-ai
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Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.
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Traditional cost estimation often produces "black box" estimates with hidden markups. Stakeholders need:
Resource-based cost calculation using CWICR methodology that separates physical norms (labor hours, material quantities) from volatile prices, enabling transparent and auditable estimates.
pip install pandas numpy
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from enum import Enum
from datetime import datetime
class CostComponent(Enum):
"""Cost breakdown components."""
LABOR = "labor"
MATERIAL = "material"
EQUIPMENT = "equipment"
OVERHEAD = "overhead"
PROFIT = "profit"
TOTAL = "total"
class CostStatus(Enum):
"""Cost calculation status."""
CALCULATED = "calculated"
ESTIMATED = "estimated"
MISSING_DATA = "missing_data"
ERROR = "error"
@dataclass
class CostBreakdown:
"""Detailed cost breakdown for a work item."""
work_item_code: str
description: str
unit: str
quantity: float
labor_cost: float = 0.0
material_cost: float = 0.0
equipment_cost: float = 0.0
overhead_cost: float = 0.0
profit_cost: float = 0.0
unit_price: float = 0.0
total_cost: float = 0.0
labor_hours: float = 0.0
labor_rate: float = 0.0
resources: List[Dict[str, Any]] = field(default_factory=list)
status: CostStatus = Cost...
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# CWICR Cost Calculator
## Business Case
### Problem Statement
Traditional cost estimation often produces "black box" estimates with hidden markups. Stakeholders need:
- Transparent cost breakdowns
- Traceable pricing logic
- Auditable calculations
- Resource-level detail
### Solution
Resource-based cost calculation using CWICR methodology that separates physical norms (labor hours, material quantities) from volatile prices, enabling transparent and auditable estimates.
### Business Value
- **Full transparency** - Every cost component visible
- **Auditable** - Traceable calculation logic
- **Flexible** - Update prices without changing norms
- **Accurate** - Based on 55,000+ validated work items
## Technical Implementation
### Prerequisites
```bash
pip install pandas numpy
```
### Python Implementation
```python
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from enum import Enum
from datetime import datetime
class CostComponent(Enum):
"""Cost breakdown components."""
LABOR = "labor"
MATERIAL = "material"
EQUIPMENT = "equipment"
OVERHEAD = "overhead"
PROFIT = "profit"
TOTAL = "total"
class CostStatus(Enum):
"""Cost calculation status."""
CALCULATED = "calculated"
ESTIMATED = "estimated"
MISSING_DATA = "missing_data"
ERROR = "error"
@dataclass
class CostBreakdown:
"""Detailed cost breakdown for a work item."""
work_item_code: str
description: str
unit: str
quantity: float
labor_cost: float = 0.0
material_cost: float = 0.0
equipment_cost: float = 0.0
overhead_cost: float = 0.0
profit_cost: float = 0.0
unit_price: float = 0.0
total_cost: float = 0.0
labor_hours: float = 0.0
labor_rate: float = 0.0
resources: List[Dict[str, Any]] = field(default_factory=list)
status: CostStatus = Cost...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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