Parse heat demand

python_scripts/run_simstadt_from_python/variable_window_ratio.py

 from pathlib import Path
 import shutil
-from run_simstadt_workflow import find_simstadt, check_paths, SCRIPT_DIR, prepare_workflow, run_workflow
+from xml.etree import ElementTree as et
+import pandas as pd
+
+from run_simstadt_workflow import find_simstadt, SCRIPT_DIR, run_workflow
 
 SIMSTADT2_GLOB = 'Desktop/SimStadt2_0.*/'
 REPO_PATH = Path.home() / 'git' / 'simstadt2' / 'TestRepository'
 PROJECT_NAME = 'Gruenbuehl'
-CITYGMLS = ['Gruenbuehl_LOD2_ALKIS_1010_2buildings.gml']
+CITYGMLS = ['Gruenbuehl_LOD2_ALKIS_1010.gml']
 
 PROJECT_PATH = REPO_PATH / f'{PROJECT_NAME}.proj'
 PARAMS = 'params.xml'
 
+BUILDING_PHYSICS_LIBRARY = 'GermanBuildingTypologyLibrary_IWU.xml'
+
 print(find_simstadt(SIMSTADT2_GLOB))
 
 TEMPLATE_NAME = '99_HeatDemand'
 
-TEMPLATE = SCRIPT_DIR / 'Template' / f'{TEMPLATE_NAME}.flow' # Heat demand, with custom BuildingPhysics
+template = SCRIPT_DIR / 'Template' / f'{TEMPLATE_NAME}.flow' # Heat demand, with custom BuildingPhysics
+
+workflow_path = PROJECT_PATH / f'{TEMPLATE_NAME}.flow'
+
+shutil.copytree(template, workflow_path, dirs_exist_ok=True)
+print(workflow_path)
+
+physics_processor_step = workflow_path / '01_Preprocessing.step/02_PhysicsPreprocessor.step'
+
+
+############# Specify custom lib #########################
+custom_library_path = physics_processor_step / BUILDING_PHYSICS_LIBRARY
+
+physics_processor_params = physics_processor_step / PARAMS
 
-WORKFLOW_PATH = PROJECT_PATH / f'{TEMPLATE_NAME}.flow'
+tree = et.parse(physics_processor_params)
+root = tree.getroot()
 
-shutil.copytree(TEMPLATE, WORKFLOW_PATH, dirs_exist_ok=True)
+lib_node = root.find(".//object[@class='de.hft.stuttgart.simstadt2.assessment.PhysicsXmlLib']/void[@property='path']/string")
+lib_node.text = str(custom_library_path)
+tree.write(physics_processor_params)
+##########################################################
 
 
+output_files = run_workflow(find_simstadt(SIMSTADT2_GLOB), workflow_path, CITYGMLS)
 
+heat_demand_csv = next(file for file in output_files if 'HEATING.csv' in file.name)
 
+################### Parse heat demand ########################
 
-output_files = run_workflow(find_simstadt(SIMSTADT2_GLOB), WORKFLOW_PATH, CITYGMLS)
+df = pd.read_csv(heat_demand_csv,
+            skiprows=list(range(19)) + [20],
+            sep=';',
+            decimal=','
+           )
 
-print(next(file for file in output_files if 'HEATING.csv' in file.name))
+heat_demand_MWh = df['Yearly Heating demand'].sum() / 1000
+print(f"Total heat demand : {heat_demand_MWh:.0f} MWh / a")