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Automatically generate estimates from QTO data. Apply pricing rules to BIM quantities for cost estimates.
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Manual estimate creation challenges:
Automated estimate generation from BIM/QTO data using configurable pricing rules and assembly mappings.
import pandas as pd
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum
class ElementType(Enum):
WALL = "wall"
FLOOR = "floor"
CEILING = "ceiling"
DOOR = "door"
WINDOW = "window"
COLUMN = "column"
BEAM = "beam"
FOUNDATION = "foundation"
ROOF = "roof"
STAIR = "stair"
MEP = "mep"
@dataclass
class QTOItem:
element_id: str
element_type: ElementType
name: str
quantity: float
unit: str
properties: Dict[str, Any] = field(default_factory=dict)
@dataclass
class PricingRule:
rule_id: str
name: str
element_type: ElementType
conditions: Dict[str, Any] = field(default_factory=dict)
unit_cost: float = 0
assembly_code: str = ""
cost_breakdown: Dict[str, float] = field(default_factory=dict)
@dataclass
class EstimateItem:
qto_element_id: str
description: str
quantity: float
unit: str
unit_cost: float
total_cost: float
rule_applied: str
wbs_code: str = ""
class AutoEstimateGenerator:
"""Generate estimates from QTO data automatically."""
def __init__(self, project_name: str):
self.project_name = project_name
self.pricing_rules: List[PricingRule] = []
self.qto_items: List[QTOItem] = []
self.estimate_items: List[EstimateItem] = []
self.unmapped_items: List[QTOItem] = []
def add_pricing_rule(self, rule: PricingRule):
"""Add pricing rule."""
self.pricing_rules.appe...
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# Auto Estimate Generator
## Business Case
### Problem Statement
Manual estimate creation challenges:
- Time-consuming quantity mapping
- Inconsistent pricing rules
- Errors in calculations
- Difficulty updating estimates
### Solution
Automated estimate generation from BIM/QTO data using configurable pricing rules and assembly mappings.
## Technical Implementation
```python
import pandas as pd
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum
class ElementType(Enum):
WALL = "wall"
FLOOR = "floor"
CEILING = "ceiling"
DOOR = "door"
WINDOW = "window"
COLUMN = "column"
BEAM = "beam"
FOUNDATION = "foundation"
ROOF = "roof"
STAIR = "stair"
MEP = "mep"
@dataclass
class QTOItem:
element_id: str
element_type: ElementType
name: str
quantity: float
unit: str
properties: Dict[str, Any] = field(default_factory=dict)
@dataclass
class PricingRule:
rule_id: str
name: str
element_type: ElementType
conditions: Dict[str, Any] = field(default_factory=dict)
unit_cost: float = 0
assembly_code: str = ""
cost_breakdown: Dict[str, float] = field(default_factory=dict)
@dataclass
class EstimateItem:
qto_element_id: str
description: str
quantity: float
unit: str
unit_cost: float
total_cost: float
rule_applied: str
wbs_code: str = ""
class AutoEstimateGenerator:
"""Generate estimates from QTO data automatically."""
def __init__(self, project_name: str):
self.project_name = project_name
self.pricing_rules: List[PricingRule] = []
self.qto_items: List[QTOItem] = []
self.estimate_items: List[EstimateItem] = []
self.unmapped_items: List[QTOItem] = []
def add_pricing_rule(self, rule: PricingRule):
"""Add pricing rule."""
self.pricing_rules.appe...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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