IFC2IDA 0.1.1

A Python tool for converting IFC (Industry Foundation Classes) files to IDA (Indoor Database ASCII) compatible formats

IFC2IDA

A Python package for converting IFC (Industry Foundation Classes) files to IDA (Indoor Database ASCII) compatible formats, designed for BIM (Building Information Modeling) data analysis workflows.

Features

• IFC Parsing: Extract geometric and semantic data from IFC files using ifcopenshell.

• Data Transformation: Convert IFC entities into structured formats (e.g., CSV, JSON, Parquet) for analysis.

• Customizable Pipelines: Define rules to map IFC properties to IDA-compatible schemas.

• CLI Support: Command-line interface for batch processing.

Installation

pip install ifc2ida

For development dependencies:

pip install ifc2ida[dev]

Usage

Basic Conversion

from ifc2ida import convert



# Convert IFC to CSV

convert.ifc_to_csv("input.ifc", "output.csv")



# Convert IFC to Parquet

convert.ifc_to_parquet("input.ifc", "output.parquet")

Command Line Interface

ifc2ida --input model.ifc --output data.csv --format csv

Custom Schema Mapping

Create a JSON configuration file (schema_config.json):

{

  "Walls": {

    "attributes": ["Name", "Volume", "Material"],

    "filters": {"ClassName": "IfcWall"}

  }

}

Then run:

from ifc2ida import CustomConverter



converter = CustomConverter("schema_config.json")

converter.convert("input.ifc", "output.parquet")

Documentation

Full documentation available at GitHub Wiki.

Contributing

1. Fork the repository.

2. Create a feature branch (git checkout -b feature/your-feature).

3. Commit changes (git commit -am 'Add some feature').

4. Push to the branch (git push origin feature/your-feature).

5. Open a Pull Request.

License

MIT License. See LICENSE for details.