added aws/lambda sample

aws/lambda/Dockerfile

@@ -0,0 +1,40 @@
+# Dockerfile for Running AWS Lambda Function with Python and IfcOpenShell
+
+# Set the location of your Lambda function code
+ARG FUNCTION_DIR="/var/task"
+
+# Base image: Python 3.9 from AWS's public container registry
+FROM public.ecr.aws/docker/library/python:3.9 AS build
+
+# Install necessary packages
+RUN apt-get -y update && apt-get -y install unzip curl
+
+# Install AWS Lambda runtime interface client
+RUN pip install --target ${FUNCTION_DIR} awslambdaric
+
+# Set the IfcOpenShell build version (check available builds at: https://blenderbim.org/docs-python/ifcopenshell-python/installation.html)
+ARG IFC_OPENSHELL_BUILD="v0.7.0-476ab50"
+
+# Download and extract IfcOpenShell
+RUN curl https://s3.amazonaws.com/ifcopenshell-builds/ifcopenshell-python-${IFC_OPENSHELL_BUILD}-linux64.zip -O && \
+    unzip ifcopenshell-python-${IFC_OPENSHELL_BUILD}-linux64.zip && \
+    mv ifcopenshell ${FUNCTION_DIR} && \
+    rm ifcopenshell-python-${IFC_OPENSHELL_BUILD}-linux64.zip
+
+# Copy the requirements file and install dependencies
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+# Copy the Lambda function code
+COPY ./example_handler ${FUNCTION_DIR}/example_handler
+
+# Set the working directory
+WORKDIR ${FUNCTION_DIR}
+
+# Set the entrypoint for the Lambda function
+ENTRYPOINT [ "/usr/local/bin/python", "-m", "awslambdaric" ]
+
+# Set the Python import path to the Lambda function handler
+# This path is relative to the root of the Lambda function code (FUNCTION_DIR)
+# Lambda invocation will look for this path
+CMD ["example_handler.extract_wall_psets"]

aws/lambda/README.md

@@ -0,0 +1,37 @@
+Dockerized AWS Lambda Function with Python and IfcOpenShell
+===========================================================
+
+This repository provides a Dockerfile and sample code to help you run an AWS Lambda function written in Python and utilizing IfcOpenShell library. 
+
+Prerequisites
+-------------
+
+Make sure you have Docker installed on your machine. You can download Docker from the official website: [Docker Instalation](https://docs.docker.com/engine/install/)
+
+Getting Started
+---------------
+
+1. Clone this repository to your local machine:
+
+2. Customize the Lambda function code:
+   - Replace the sample Lambda function code in the `example_handler` directory with your own code.
+   - Update the import path in the Dockerfile's `CMD` instruction to match your Lambda function's handler function.
+
+3. Install the required Python packages:
+   - Edit the `requirements.txt` file and add any additional dependencies required by your Lambda function.
+
+4. Build the Docker image:
+
+   ```shell
+   $ docker build -t lambda-ifcopenshell .
+   ```
+
+5. Run the Docker container:
+
+    ```shell
+   $ docker run lambda-ifcopenshell
+    ```
+
+6. Deploy to lambda
+ 
+    This is beyond the scope of this example. Please refer to AWS documentation. Some tools that could be useful are - AWS CloudFormaton, AWS CDK, pulumi or terraform

aws/lambda/example_handler/__init__.py

@@ -0,0 +1,27 @@
+import ifcopenshell
+import ifcopenshell.util.element
+import boto3
+
+s3 = boto3.resource('s3')
+
+def handler(event, context):
+    print("Hello from lambda")
+    print("Event: {}".format(event))
+    print("Context: {}".format(context))
+
+    filename = event['body']['filename']
+    
+    s3.Bucket('my_ifc_files').download_file(filename, f'/tmp/{filename}')
+    ifc_file = ifcopenshell.open(f'/tmp/{filename}')
+    walls = ifc_file.by_type('IfcWall')
+    
+    psets = []
+    for wall in walls:
+        wall_data = ifcopenshell.util.element.get_psets(wall)
+        wall_data['id'] = wall.GlobalId
+        psets.append(wall_data)
+
+    return {
+        'statusCode': 200,
+        'body': psets
+    }

aws/lambda/requirements.txt

@@ -0,0 +1 @@
+boto3