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lcabygjson.py
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#!/usr/bin/env python
# coding: utf-8
# Mateusz Płoszaj-Mazurek
# Sources
# https://www.lcabyg.dk/en/bim-integration-eng-2/
# https://thinkmoult.com/using-ifcopenshell-parse-ifc-files-python.html
# https://github.com/johannesmichael/ifc-python/blob/master/modules/ifc_pset_utils.py
# https://www.kaggle.com/code/ponybiam/introduction-to-ifcopenshell-functions/notebook
# https://blenderbim.org/docs-python/ifcopenshell-python/hello_world.html
import json
import ifcHelper
import pandas as pd
import numpy as np
import uuid
comment = "Created by Excel_to_JSON_LCAByg. https://github.com/Curiosit/Excel_to_JSON_LCAByg"
def add_things_json_list(json_list, json_element):
for i in json_element:
json_list.append(i)
return json_list
def create_lcabyg_elements():
json_array_elements = []
json_array_constructions = []
json_array_element_category = []
json_array_constructions_extra = []
lcabyg_elements = json_array_elements, json_array_constructions,json_array_element_category, json_array_constructions_extra
return lcabyg_elements
def append_lcabyg_element(lcabyg_elements, construction_amount, construction_name = 'Test_construction', element_name = 'Test_element', unit = 'M2', layers='', products_df='', element_id = str(uuid.uuid4()), lifespan = 50, product_id = '51bcec85-9105-4946-8a8a-51219bf9adfa'):
################ SET PROPERTIES AND IDs
#element_id = str(uuid.uuid4())
#construction_id = str(uuid.uuid4())
element_category_id = str(uuid.uuid4())
construction_edge_id = str(uuid.uuid4())
element_category_edge_id = str(uuid.uuid4())
constructions_category_id = str(uuid.uuid4())
################ DEFAULT IDs (this ones are not needed to change)
################ DEFAULT IDs from example
#element_id = '02c3e303-a443-4f02-9927-e43519227ade'
#construction_id = 'c6f24e0f-020a-4f0f-93c6-65beb50bd798'
element_category_id = '069983d0-d08b-405b-b816-d28ca9648956'
product_id_m2 ='51bcec85-9105-4946-8a8a-51219bf9adfa' #m2
product_id_m = '5dcafff0-1ec7-49e7-b425-fff6d1a0e03f' #m
#construction_edge_id = '65cc0492-7864-4598-9254-5f929379bae6'
#element_edge_id = 'e66c3d76-eae6-4c6b-86f7-e9178bc8f804'
#element_category_edge_id = '479c5e5a-b173-4c07-bfbd-0cedff55888b'
constructions_category_id = '8cef6e2a-ad53-4450-9c6f-7a24eb9fcf16'
################
## LOAD JSON ARRAYS
json_array_elements = lcabyg_elements[0]
json_array_constructions = lcabyg_elements[1]
json_array_element_category = lcabyg_elements[2]
json_array_constructions_extra = lcabyg_elements[3]
################ ELEMENTS.JSON
element_properties = {'id': element_id, "name": { "Danish": element_name,"English": "","German": "" }, "source": "User", "comment": comment, "enabled": True, "active": True}
element_set = {'Element': element_properties}
element_node = {'Node': element_set}
element_edge_id = []
construction_id = []
construction_edge_id = []
element_edges = []
i = 0
####
json_array_elements.append(element_node) #0 elements.json
print ('Added element:')
print (element_name)
####
#print (construction_amount)
for n in construction_amount:
#print (n)
print ('Added construction')
print (construction_name[i])
print (n)
element_edge_id.append(str(uuid.uuid4()))
construction_id.append(str(uuid.uuid4()))
element_edge_details = {'id': element_edge_id[i],'amount': n, 'enabled': True}
element_edge_data = [{'ElementToConstruction': element_edge_details}, element_id, construction_id[i]]
element_edge = {'Edge': element_edge_data}
json_array_elements.append(element_edge)
################ CONSTRUCTIONS.JSON
product_id=''
#print(unit[i])
#if unit[i] == 'M2':
# product_id = product_id_m2
#else:
# product_id = product_id_m
construction_properties = {'id': construction_id[i], 'name': {'Danish': construction_name[i], 'English': 'Test construction'},'unit': unit[i], 'source': 'User','comment': comment,'layer': 1,'locked': True}
construction_set = {'Construction': construction_properties}
construction_node = {'Node': construction_set}
json_array_constructions.append(construction_node) #1 constructions.json
#product_id = productid_df[i]
#product_ids = product_id.split('#')
#print(product_ids)
layers_split = layers[i].split('_')
print('Layers:')
print(layers_split)
nn = 0
previous_layer=''
for layer in layers_split:
print(layer)
print('Products:')
products = layer.rsplit(' ', 1)
print(products[0])
print('Amount from layer:')
print(products[1])
row = products_df[products_df['RevitNames'].str.contains(products[0])]
row['Unit']
if row['Unit'].values[0] == 'M3':
print('M3')
thickness = (float(products[1].replace(',', '.'))/100)*row['Amount'].values[0]
else:
if row['Unit'].values[0] == 'KG':
print('KG')
thickness = (float(products[1].replace(',', '.'))/100)*row['Amount'].values[0]
else:
if row['Unit'].values[0] == 'M2':
thickness = row['Amount'].values[0]
print('_________')
print(row['Amount'].values[0])
print('M2')
else:
thickness = (float(products[1].replace(',', '.')))*row['Amount'].values[0]
print('Other unit')
print('Previous layer:')
print (previous_layer)
if previous_layer=='Żelbet' and products[0]=='ZbrojZBbyratio':
print('Reinforcement by ratio:')
print(previous_amount)
print(thickness)
thickness = (thickness * previous_amount)/100
print('Reinforcement amount:')
print(thickness)
print('Productid:')
print(row['Productid'].values[0])
print('LCABYG Name:')
print(row['Row Labels'].values[0])
productunit = row['Unit'].values[0]
print('Final amount:')
print(thickness)
construction_edge_id = str(uuid.uuid4())
construction_edge_details = {'id': construction_edge_id,'amount': float(thickness), 'unit': productunit, 'lifespan': lifespan, 'demolition': False, 'enabled': True, 'delayed_start': 0}
construction_edge_data = [{'ConstructionToProduct': construction_edge_details}, construction_id[i], row['Productid'].values[0]]
construction_edge = {'Edge': construction_edge_data}
json_array_constructions.append(construction_edge)
if products[0] == 'Żelbet':
previous_layer='Żelbet'
previous_amount=float(products[1])
else:
previous_layer=''
previous_amount=0
nn += 1
################ constructions_extra.json
constructions_category_edge_details = {'id': str(uuid.uuid4()),'layers': [1]}
constructions_category_edge_data = [{'CategoryToConstruction':constructions_category_edge_details}, element_category_id, construction_id[i]]
constructions_category_edge = {'Edge': constructions_category_edge_data}
################ SAVE TO ARRAY
json_array_constructions_extra.append(constructions_category_edge) #3 constructions_extra.json
########
i += 1
############
################ element_category_edges.json
element_category_edge_details = {'id': str(uuid.uuid4()), 'enabled': True}
element_category_edge_data = [{'CategoryToElement':element_category_edge_details}, element_category_id, element_id]
element_category_edge = {'Edge': element_category_edge_data}
json_array_element_category.append(element_category_edge) #2 construction_category_edges.json
return json_array_elements, json_array_constructions,json_array_element_category, json_array_constructions_extra
###########
def get_wall_dataframe(ifc_file):
walls = ifc_file.by_type('IfcWall')
walls_volumes = list()
walls_thickness = list()
walls_areas = list()
walls_types = list()
for i in range(len(walls)):
quantities = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(walls[i])[0])
walls_volumes.append(quantities['NetVolume'])
walls_thickness.append(quantities['Width']/1000)
walls_areas.append(walls_volumes[i]/walls_thickness[i])
walls_types.append(walls[i].ObjectType)
d = {'Type':walls_types,'Area':walls_areas}
wall_df = pd.DataFrame(d)
wall_types_sum = wall_df.groupby('Type')['Area'].sum().reset_index()
try:
wall_types_sum_df = pd.DataFrame(wall_types_sum)
print("Walls loaded successfully")
except:
print("An exception occurred")
return wall_types_sum_df
def get_slabs_dataframe(ifc_file):
slabs = ifc_file.by_type('IfcSlab')
slabs_areas = list()
slabs_types = list()
for i in range(len(slabs)):
quantities_slabs = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(slabs[i])[0])
slabs_areas.append(quantities_slabs['NetArea'])
slabs_types.append(slabs[i].ObjectType)
d_s = {'Type':slabs_types,'Area':slabs_areas}
slabs_df = pd.DataFrame(d_s)
slabs_types_sum = slabs_df.groupby('Type')['Area'].sum().reset_index()
try:
slabs_types_sum_df = pd.DataFrame(slabs_types_sum)
print("Slabs loaded successfully")
except:
print("An exception occurred")
return slabs_types_sum_df
def get_windows_dataframe(ifc_file):
windows = ifc_file.by_type('IfcWindow')
windows_types = list()
windows_areas = list()
for i in range(len(windows)):
quantities_windows = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(windows[i])[0])
windows_areas.append(quantities_windows['Area'])
windows_types.append(windows[i].ObjectType)
w_s = {'Type':windows_types,'Area':windows_areas}
windows_df = pd.DataFrame(w_s)
windows_types_sum = windows_df.groupby('Type')['Area'].sum().reset_index()
try:
windows_types_sum_df = pd.DataFrame(windows_types_sum)
print("Windows loaded successfully")
except:
print("An exception occurred")
return windows_types_sum_df
def get_doors_dataframe(ifc_file):
doors = ifc_file.by_type('IfcDoor')
doors_types = list()
doors_areas = list()
for i in range(len(doors)):
quantities_doors = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(doors[i])[0])
doors_areas.append(quantities_doors['Area'])
doors_types.append(doors[i].ObjectType)
dr_s = {'Type':doors_types,'Area':doors_areas}
doors_df = pd.DataFrame(dr_s)
doors_types_sum = doors_df.groupby('Type')['Area'].sum().reset_index()
try:
doors_types_sum_df = pd.DataFrame(doors_types_sum)
print("Doors loaded successfully")
except:
print("An exception occurred")
return doors_types_sum_df
def get_railings_dataframe(ifc_file):
railings = ifc_file.by_type('IfcRailing')
railings_types = list()
railings_lengths = list()
for i in range(len(railings)):
quantities_railings = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(railings[i])[0])
railings_lengths.append(quantities_railings['Length'])
railings_types.append(railings[i].ObjectType)
rl_s = {'Type':railings_types,'Length':railings_lengths}
railings_df = pd.DataFrame(rl_s)
railings_types_sum = railings_df.groupby('Type')['Length'].sum().reset_index()
try:
railings_types_sum_df = pd.DataFrame(railings_types_sum)
print("Railings loaded successfully")
except:
print("An exception occurred")
return railings_types_sum_df
def get_cw_panels_dataframe(ifc_file):
cw_panels = ifc_file.by_type('IfcPlate')
cw_panels_types = list()
cw_panels_areas = list()
for i in range(len(cw_panels)):
cw_panels_areas.append(ifcHelper.get_property_single_value(ifcHelper.get_related_property_sets(cw_panels[i])[1])['Area'])
cw_panels_types.append(cw_panels[i].ObjectType)
cw_p_s = {'Type':cw_panels_types,'Area':cw_panels_areas}
cw_panels_df = pd.DataFrame(cw_p_s)
cw_panels_types_sum = cw_panels_df.groupby('Type')['Area'].sum().reset_index()
try:
cw_panels_types_sum_df = pd.DataFrame(cw_panels_types_sum)
print("Curtain Wall panels loaded successfully")
except:
print("An exception occurred")
return cw_panels_types_sum_df
def get_cw_mullions_dataframe(ifc_file):
cw_mullions = ifc_file.by_type('IfcMember')
cw_mullions_types = list()
cw_mullions_lengths = list()
for i in range(len(cw_mullions)):
quantities_cw_mullions = ifcHelper.get_quantity_single_value(ifcHelper.get_related_quantities(cw_mullions[i])[0])
cw_mullions_lengths.append(quantities_cw_mullions['Length']/1000)
cw_mullions_types.append(cw_mullions[i].ObjectType)
cw_m_s = {'Type':cw_mullions_types,'Length':cw_mullions_lengths}
cw_mullions_df = pd.DataFrame(cw_m_s)
cw_mullions_types_sum = cw_mullions_df.groupby('Type')['Length'].sum().reset_index()
try:
cw_mullions_types_sum_df = pd.DataFrame(cw_mullions_types_sum)
print("Curtain Wall panels loaded successfully")
except:
print("An exception occurred")
return cw_mullions_types_sum_df