ifc2data 1.2.1

Python client for the Ifc2Data API

Ifc2Data Python Client

A Python client for the Ifc2Data API https://www.ifc2data.com/

Ifc2Data allows you to upload IFC files and export structured datasets in multiple formats such as XLSX, CSV, SQL, JSON, and more.

This package provides both:

• A synchronous client (Client)
• An asynchronous client (AsyncClient)

for seamless integration into Python applications, automation workflows, and backend services.

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Features

• Synchronous and asynchronous support
• Multiple output formats supported
• Built-in parameter validation
• Automatic retry mechanism for network reliability
• Lightweight and easy to integrate

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Installation

pip install ifc2data

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Prerequisites

Before using this package :

1. Create an account on Ifc2Data : https://www.ifc2data.com/signup/
2. Request an API key : [e-mail]

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Quick Start

Synchronous Client

from ifc2data import Client

api_key = "YOUR_API_KEY"

file_path = r"C:\path\to\your\file\File.ifc"

output_format = "xlsx"

parameters = {
    "elements": ["IfcWall"],
    "properties": ["IsExternal", "LoadBearing"],
    "quantities": []
}

client = Client(api_key)

result = client.run(
    file_path=file_path,
    output_format=output_format,
    parameters=parameters
)

if result.done:
    output_path = client.download(
        result,
        r"C:\path\to\your\file"
    )

    print("Saved to:", output_path)

Asynchronous Client

import asyncio
from ifc2data import AsyncClient

api_key = "YOUR_API_KEY"

file_path = r"C:\path\to\your\file\File.ifc"

output_format = "xlsx"

parameters = {
    "elements": ["IfcWall"],
    "properties": ["IsExternal", "LoadBearing"],
    "quantities": []
}

async def main():

    client = AsyncClient(api_key)

    result = await client.run(
        file_path=file_path,
        output_format=output_format,
        parameters=parameters
    )

    if result.done:

        output_path = await client.download(
            result,
            r"C:\path\to\your\file"
        )

        print("Saved to:", output_path)

asyncio.run(main())

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How it works

1. Upload an IFC model
2. Configure extraction parameters
3. Execute the processing pipeline
4. Receive a structured API response
5. Download the generated output file

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Response

Response Object

The run() method returns a PipelineResponse object.

print(result.status)
print(result.message)

if result.data:
    print(result.data.id)
    print(result.data.file_name)

Response Structure

Attribute	Type	Description
status	str	Pipeline execution status
message	str	Human-readable API message
data	PipelineData	Processed file information
done	bool	Returns True if processing succeeded

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Output Formats

Format	Key
BSON (MongoDB)	bson
CSV	csv
JSON	json
SQL	sql
SQL (3NF)	sql_3nf
SQLite	sqlite
SQLite (3NF)	sqlite_3nf
Turtle	ttl
Excel (XLSX)	xlsx

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Parameters

The parameters dictionary controls how IFC data is filtered and exported.

Available Parameters

Key	Required	Type	Empty Allowed	Description
elements	Yes	List[str]	No	IFC classes to extract
classifications	No	List[str]	Yes	Classification filters
documents	No	List[str]	Yes	Document filters
materials	No	List[str]	Yes	Material filters
properties	No	List[str]	Yes	Property filters
quantities	No	List[str]	Yes	Quantity filters

Parameter Examples

Minimal Example

parameters = {
    "elements": ["IfcWall"]
}

Multiple IFC Elements

parameters = {
    "elements": [
        "IfcWall",
        "IfcDoor",
        "IfcWindow"
    ]
}

Property Filtering

parameters = {
    "elements": ["IfcWall"],
    "properties": [
        "FireRating",
        "LoadBearing",
        "IsExternal"
    ]
}

Material Filtering

parameters = {
    "elements": ["IfcSlab"],
    "materials": [
        "Concrete",
        "Steel"
    ]
}

Quantity Extraction

parameters = {
    "elements": ["IfcBeam"],
    "quantities": [
        "Length",
        "CrossSectionArea",
        "NetVolume"
    ]
}

No Filter Example

parameters = {
    "elements": ["IfcWall"],
    "properties": []
}

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Validation Rules

The SDK validates parameters before sending requests to the API.

Validation includes:

• Required parameter checks
• Output format validation
• IFC class validation
• Parameter type validation
• Unknown parameter detection

Invalid configurations raise a ValueError.

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Error Handling

try:

    result = client.run(
        file_path,
        output_format,
        parameters
    )

except ValueError as e:
    print("Validation error:", e)

except Exception as e:
    print("Request failed:", e)

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Verbose Mode

Enable verbose mode to inspect API requests and responses.

result = client.run(
    file_path=file_path,
    output_format="xlsx",
    parameters=parameters,
    verbose=True
)

Verbose mode displays:

• Request URL
• Output format
• Parameters
• HTTP response status
• API response payload

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Notes

• IFC files must be valid and readable
• Network retries are automatically handled internally
• Empty filter lists are normalized automatically

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License

This project is licensed under the MIT License.

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Author

Yohann Schatz