mirror of
https://github.com/IfcOpenShell/IfcOpenShell.git
synced 2026-08-06 07:51:47 +00:00
Ahmad Saleem Z
48 lines
1.8 KiB
Markdown
48 lines
1.8 KiB
Markdown
Dockerized AWS Lambda Function with Python and IfcOpenShell
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===========================================================
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This guide provides a Dockerfile and sample code to help you run an AWS Lambda function written in Python and utilizing IfcOpenShell library.
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Prerequisites
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-------------
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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/)
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Getting Started
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---------------
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1. **Clone this repository to your local machine:**
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2. **Customize the Lambda function code:**
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- Replace the sample Lambda function code in the `example_handler` directory with your own code.
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- Update the import path in the Dockerfile's `CMD` instruction to match your Lambda function's handler function.
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3. **Install the required Python packages:**
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- Edit the `requirements.txt` file and add any additional dependencies required by your Lambda function.
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4. **Build the Docker image:**
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```shell
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$ docker build -t lambda-ifcopenshell .
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```
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5. **Run the Docker container:**
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```shell
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$ docker run lambda-ifcopenshell
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```
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6. **Test lambda locally**
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Follow the steps in this [guide](https://docs.aws.amazon.com/lambda/latest/dg/images-test.html)
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7. **Deploy to lambda**
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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
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---------
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> Note: This is a superficial guide, in order to make this work for your usecase you will need a good understanding of other AWS services like SQS, S3, API Gateway etc.
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For more information on building lambda containers refer to this [guide](https://docs.aws.amazon.com/lambda/latest/dg/images-create.html). |