Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
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Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Note: RVT is the file format. Examples may reference Autodesk® Revit® APIs. Autodesk and Revit are registered trademarks of Autodesk, Inc.
External data (costs, specifications, classifications) lives in Excel but needs to update Revit:
Automated import of Excel data into Revit using the DDC ImportExcelToRevit tool and Dynamo workflows.
ImportExcelToRevit.exe <model.rvt> <data.xlsx> [options]
| Option | Description |
|---|---|
-sheet | Excel sheet name |
-idcol | Element ID column |
-mapping | Parameter mapping file |
import subprocess
import pandas as pd
from pathlib import Path
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass
import json
@dataclass
class ImportResult:
"""Result of Excel import to Revit."""
elements_processed: int
elements_updated: int
elements_failed: int
parameters_updated: int
errors: List[str]
class ExcelToRevitImporter:
"""Import Excel data into Revit models."""
def __init__(self, tool_path: str = "ImportExcelToRevit.exe"):
self.tool_path = Path(tool_path)
def import_data(self, revit_file: str,
excel_file: str,
sheet_name: str = "Elements",
id_column: str = "ElementId",
parameter_mapping: Dict[str, str] = None) -> ImportResult:
"""Import Excel data into Revit."""
# Build command
cmd = [
str(self.tool_path),
revit_file,
excel_file,
"-sheet", sheet_name,
"-idcol", id_column
]
# Add mapping file if provided
if parameter_mapping:
mapping_file = self._create_mapping_file(parameter_mapping)
cmd.extend(["-mapping", mapping_file])
# Execute
result = subprocess.run(cmd, capture_output=True, text=True)
# Parse result (format depends on tool)
return self._parse_result(result)
def _create_mapping_file(self, mapping: Dict[str, str]) -> str:
"""Create temporary mapping file."""
mapping_path = Path("temp_mapping.json")
with open(mapping_path, 'w') as f:
json.dump(mapping, f)
return str(mapping_path)
def _parse_result(self, result: subprocess.CompletedProcess) -> ImportResult:
"""Parse CLI result."""
# This is placeholder - actual parsing depends on tool output
if result.returncode == 0:
return ImportResult(
elements_processed=0,
elements_updated=0,
elements_failed=0,
parameters_updated=0,
errors=[]
)
else:
return ImportResult(
elements_processed=0,
elements_updated=0,
elements_failed=0,
parameters_updated=0,
errors=[result.stderr]
)
class DynamoScriptGenerator:
"""Generate Dynamo scripts for Revit data import."""
def generate_parameter_update_script(self,
mappings: Dict[str, str],
excel_path: str,
output_path: str) -> str:
"""Generate Dynamo Python script for parameter updates."""
mappings_json = json.dumps(mappings)
script = f'''
# Dynamo Python Script - Excel to Revit Parameter Update
# Generated by DDC
import clr
import sys
sys.path.append(r'C:\\Program Files (x86)\\IronPython 2.7\\Lib')
clr.AddReference('RevitAPI')
clr.AddReference('RevitServices')
clr.AddReference('Microsoft.Office.Interop.Excel')
from RevitServices.Persistence import DocumentManager
from RevitServices.Transactions import TransactionManager
from Autodesk.Revit.DB import *
import Microsoft.Office.Interop.Excel as Excel
# Configuration
excel_path = r'{excel_path}'
mappings = {mappings_json}
# Open Excel
excel_app = Excel.ApplicationClass()
excel_app.Visible = False
workbook = excel_app.Workbooks.Open(excel_path)
worksheet = workbook.Worksheets[1]
# Get Revit document
doc = DocumentManager.Instance.CurrentDBDocument
# Read Excel data
used_range = worksheet.UsedRange
rows = used_range.Rows.Count
cols = used_range.Columns.Count
# Find column indices
headers = {{}}
for col in range(1, cols + 1):
header = str(worksheet.Cells[1, col].Value2 or '')
headers[header] = col
# Process rows
TransactionManager.Instance.EnsureInTransaction(doc)
updated_count = 0
error_count = 0
for row in range(2, rows + 1):
try:
# Get element ID
element_id_col = headers.get('ElementId', 1)
element_id = int(worksheet.Cells[row, element_id_col].Value2 or 0)
element = doc.GetElement(ElementId(element_id))
if not element:
continue
# Update mapped parameters
for excel_col, revit_param in mappings.items():
if excel_col in headers:
col_idx = headers[excel_col]
value = worksheet.Cells[row, col_idx].Value2
if value is not None:
param = element.LookupParameter(revit_param)
if param and not param.IsReadOnly:
if param.StorageType == StorageType.Double:
param.Set(float(value))
elif param.StorageType == StorageType.Integer:
param.Set(int(value))
elif param.StorageType == StorageType.String:
param.Set(str(value))
updated_count += 1
except Exception as e:
error_count += 1
TransactionManager.Instance.TransactionTaskDone()
# Cleanup
workbook.Close(False)
excel_app.Quit()
OUT = f"Updated: {{updated_count}}, Errors: {{error_count}}"
'''
with open(output_path, 'w') as f:
f.write(script)
return output_path
def generate_schedule_creator(self,
schedule_name: str,
category: str,
fields: List[str],
output_path: str) -> str:
"""Generate script to create Revit schedule from Excel structure."""
fields_json = json.dumps(fields)
script = f'''
# Dynamo Python Script - Create Schedule
# Generated by DDC
import clr
clr.AddReference('RevitAPI')
clr.AddReference('RevitServices')
from RevitServices.Persistence import DocumentManager
from RevitServices.Transactions import TransactionManager
from Autodesk.Revit.DB import *
doc = DocumentManager.Instance.CurrentDBDocument
fields = {fields_json}
# Get category
category = Category.GetCategory(doc, BuiltInCategory.OST_{category})
TransactionManager.Instance.EnsureInTransaction(doc)
# Create schedule
schedule = ViewSchedule.CreateSchedule(doc, category.Id)
schedule.Name = "{schedule_name}"
# Add fields
definition = schedule.Definition
for field_name in fields:
# Find schedulable field
for sf in definition.GetSchedulableFields():
if sf.GetName(doc) == field_name:
definition.AddField(sf)
break
TransactionManager.Instance.TransactionTaskDone()
OUT = schedule
'''
with open(output_path, 'w') as f:
f.write(script)
return output_path
class ExcelDataValidator:
"""Validate Excel data before Revit import."""
def __init__(self, revit_elements: pd.DataFrame):
"""Initialize with exported Revit elements."""
self.revit_data = revit_elements
self.valid_ids = set(revit_elements['ElementId'].astype(str).tolist())
def validate_import_data(self, import_df: pd.DataFrame,
id_column: str = 'ElementId') -> Dict[str, Any]:
"""Validate import data against Revit export."""
results = {
'valid': True,
'total_rows': len(import_df),
'matching_ids': 0,
'missing_ids': [],
'invalid_ids': [],
'warnings': []
}
import_ids = import_df[id_column].astype(str).tolist()
for import_id in import_ids:
if import_id in self.valid_ids:
results['matching_ids'] += 1
else:
results['invalid_ids'].append(import_id)
if results['invalid_ids']:
results['valid'] = False
results['warnings'].append(
f"{len(results['invalid_ids'])} element IDs not found in Revit model"
)
results['match_rate'] = round(
results['matching_ids'] / results['total_rows'] * 100, 1
) if results['total_rows'] > 0 else 0
return results
def check_parameter_types(self, import_df: pd.DataFrame,
type_definitions: Dict[str, str]) -> List[str]:
"""Check if values match expected parameter types."""
errors = []
for column, expected_type in type_definitions.items():
if column not in import_df.columns:
continue
for idx, value in import_df[column].items():
if pd.isna(value):
continue
if expected_type == 'number':
try:
float(value)
except ValueError:
errors.append(f"Row {idx}: '{column}' should be number, got '{value}'")
elif expected_type == 'integer':
try:
int(value)
except ValueError:
errors.append(f"Row {idx}: '{column}' should be integer, got '{value}'")
return errors
# Generate Dynamo script
generator = DynamoScriptGenerator()
mappings = {
'OmniClass_Code': 'OmniClass Number',
'Unit_Cost': 'Cost',
'Material_Type': 'Material'
}
generator.generate_parameter_update_script(
mappings=mappings,
excel_path="enriched_data.xlsx",
output_path="update_revit.py"
)
# Validate before import
validator = ExcelDataValidator(revit_export_df)
validation = validator.validate_import_data(import_df)
if validation['valid']:
print(f"Ready to import. Match rate: {validation['match_rate']}%")
else:
print(f"Issues found: {validation['warnings']}")
# 1. Export from Revit
# RvtExporter.exe model.rvt complete
# 2. Load and validate
revit_df = pd.read_excel("model.xlsx")
validator = ExcelDataValidator(revit_df)
# 3. Prepare import data
import_df = pd.read_excel("enriched_data.xlsx")
validation = validator.validate_import_data(import_df)
# 4. Generate update script
if validation['valid']:
generator = DynamoScriptGenerator()
generator.generate_parameter_update_script(
mappings={'Classification': 'OmniClass Number'},
excel_path="enriched_data.xlsx",
output_path="apply_updates.py"
)
print("Run apply_updates.py in Dynamo to update Revit")
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