See #6835. Qto_OpeningElementBaseQuantities came out axis-scrambled for openings authored in a Z-up local frame (X along the voided wall, Y through it, Z vertical), which is how Bonsai authors every wall opening: - The IfcOpenShell engine mapped Height to the local Y extent and Depth to the local Z extent, so a 0.9 x 2.0 door opening with Bonsai's default 1.2m void depth reported Height 1.2 and Depth 2.0, and Area (max side area) picked the through-wall side, 2.4 instead of 1.8. This matches the wrong Height=1.2/Area=1.2 screenshots reported for a 1x1 window opening in #6835. - The Blender engine mapped opening Width to get_length, which returns the longest bounding box edge, i.e. the opening height for typical door openings (the same defect4adaf0dfixed for IfcDoor Width), and get_opening_depth used min(x, y), which returns the opening width whenever the width is smaller than the void depth. The IfcOpenShell engine now has opening-aware internal calculators (get_opening_width/height/depth/area) that detect horizontal (slab style) openings with the same heuristic as the Blender calculator, so slab opening depths keep reporting the slab thickness. The Blender ruleset uses get_x for opening Width, and get_opening_depth measures the through-element Y extent for vertical openings. Door and window quantities themselves are addressed separately: the Blender engine door Width was fixed in4adaf0d, and the remaining door/window defects (door not quantified on the IfcOpenShell engine, inflated areas) are fixed by the attribute-based calculators in #8389. Generated with the assistance of an AI coding tool. (cherry picked from commitefac8a0ec0)
ifc5d
Description
Ifc5D is a collection of utilities of manipulating cost-related data to and from formats, reports, and optimisation engines.
Currently supported:
- CSV to IFC
- IFC to XLSX
- IFC to CSV
- IFC to ODS
Planned (would you like to contribute? Please reach out!):
- IFC to PDF
- ODS to CSV
- XLSX to CSV
- IFC to Graph
Usage CSV to IFC
Simple example:
import ifc5d.csv2ifc
csv2ifc = ifc5d.csv2ifc.Csv2Ifc(csv_filepath, ifc_file)
csv2ifc.execute()
See example files as a CSV file format reference:
- Ex1 - BoQ without query.csv (a simple Bill of Quantities)
- Ex2 - SoR.csv (a simple Schedule of Rates)
- Ex3 - BoQ with query.csv (a simple BoQ with the query function)
- Ex4 - BoQ with description.csv (a simple BoQ with description column)
- Ex5 - SoR_with_description.csv (a simple SoR with description column)
- Ex6 - BoQ with categories.csv (a simple BoQ with categories columns)
- Ex7 - BoQ with Rates.csv (a simple BoQ that connect to an existing SoR. It needs an already loaded SoR.)
- Ex8 - Boq with formula.csv (a simple BoQ with formula field used to calculate quantities when specified)
sample_cost_schedule_house_FR.csv/.odsschedule.csv,rates.csv(schedule of rates example)
Some notes on the format:
- Empty lines are ignored.
- Importing ods/xlsx is not currently supported, only csv.
- 'Property', 'Query' columns are required only for non-schedule of rates cost schedules.
- 'Index' was preferred for import hierarchy source over 'Hierarchy' as it's easier to edit from the table view.
- In non-SoR if cost values are not provided in any way and cost item has subitems, then
SUM()will added automatically as it's cost value.
MixingSUM()cost items and items with their own value is not supported.
Columns Description
General Columns
- 'Index' - is a hierarchy depth that's used for building hierarchy during csv import. Starts from 1.
E.g. root items of the same level have index '1', their children have '2', etc. - 'Name' - IfcCostItem.Name.
Some older exports may have 'Description' field instead of 'Name', it is safe to just rename it. - 'Identification' - IfcCostItem.Identification.
- 'Unit' - IfcCostValue unit, should be provided as a unit symbol.
E.g. 'm2', 'm3', 'kg', etc. - 'Value' - overall cost value to assign to IfcCostItem.
- All other columns that are not mentioned in this list or the one below will be interpeted as cost value categories.
Note that if 'Value' is provided, it takes priority over subcategories.
Non-schedule of rates columns:
- 'Quantity' - total cost item quantity.
- 'Property' - quantity name that should be added to IfcCostItem from 'Query' elements.
If 'Query' is provided, 'Property' can be left empty or set to "COUNT" to count queried elements. - 'Query' - selector query for elements to assign to IfcCostItem.
If query is provided, it takes priority over 'Quantity' (using both is not supported).
Exported informational columns (not used for import)
- 'Hierarchy' is just an informational column that doesn't affect the import.
E.g. '1', '1.1', '1.1.1', etc. - 'Id' - IfcCostItem.id
- 'RateSubtotal' - all IfcCostItem specific costs, not including subitem costs.
- 'TotalPrice' - IfcCostItem total cost, including subitem sum calculations.
Usage IFC to CSV, ODS, XSLS
Simple example:
import ifc5d.ifc5Dspreadsheet
# csv.
writer = ifc5d.ifc5Dspreadsheet.Ifc5DCsvWriter(ifc_file, csv_dir)
writer.write()
# ods.
writer = ifc5d.ifc5Dspreadsheet.Ifc5DOdsWriter(ifc_file, ods_dir)
writer.write()
# xlsx.
writer = ifc5d.ifc5Dspreadsheet.Ifc5DXlsxWriter(ifc_file, xlsx_dir)
writer.write()
CLI app for converting IFC files to CSV, ODS or XLSX format.
Usage: python ifc5Dspreadsheet.py input_file output_dir [-l log_file] [-f format_type]
Arguments: input_file (str): The path to the input IFC file to process. output_dir (str): The output directory.
Options: -l, --log log_file (str): The path to the file where errors should be logged. Default is process.log. -f, --format format_type (str): The output format to export in (csv/ods/xlsx). Default is csv.
Examples: python ifc5Dspreadsheet.py "C:\Users\Dev-Machine\Desktop\test_cost.ifc" rev_01_schedule -l error.log -f ODS python ifc5Dspreadsheet.py "C:\Users\Username\Desktop\test_cost.ifc" "C:\Users\Username\Desktop" -l error.log -f CSV
Scripting:
Example for ODS exports:
import ifcopenshell
from ifc5d.ifc5Dspreadsheet import Ifc5DOdsWriter
file = "path_to_file/file.ifc"
path = "directory/cost_schedule"
writer = Ifc5DOdsWriter(file=file, output=path)
writer.write()