1. How to include requirementstxt in Pulumi Lambda build?


    The dependencies of a Lambda function in Pulumi is specified in Python using a requirements.txt file. When specifying the path for aws.lambda_.PythonPackageArchive function, you need to specify the path of the directory which contains your requirements.txt and the Python handler.

    Here is how you can do it:

    import pulumi from pulumi_aws import s3, lambda_ # Create a Lambda function bucket = s3.Bucket('my-bucket') py_lambda = lambda_.Function('mylambda', code=lambda_.PythonPackageArchive( path='path_to_your_python_handler_folder', # replace with path to folder containing your python handler and requirements.txt requirements='requirements.txt', ), runtime="python3.6", role='arn:aws:iam::account-id:role/role-name', # replace with your IAM Role's ARN handler="index.handler", # replace with your Python handler ) pulumi.export('bucket_name', bucket.id) pulumi.export('lambda_name', py_lambda.name)

    This will package the Python Lambda function along with the dependencies specified in the requirements.txt file.


    • You need to replace 'path_to_your_python_handler_folder' with the real filesystem path to the directory that contains your requirements.txt file and Python handler file.
    • You need to replace 'arn:aws:iam::account-id:role/role-name' with the actual ARN for an IAM role that has permissions to run Lambda functions.
    • You also have to replace 'index.handler' with the file and method name (in the format: file.method) that will be called when your Lambda function is executed. If you have a file called main.py and your method is called run, you would specify 'main.run'. Make sure this Python file and method are in the same directory as your requirements.txt file.
    • The requirements.txt file should list all Python packages that your function depends on in the standard format used by pip.

    The aws.lambda_.PythonPackageArchive function does the following:

    • It uses pip to install any required packages into a clean cache directory.
    • It archives the cache directory and your Python handler file into a .zip file.
    • It uploads the .zip file to AWS Lambda as a function.

    Remember to set "aws:region" in your Pulumi config to specify the AWS region you'd like to use. If your Pulumi program doesn't work as expected, make sure you have the latest versions of Pulumi and the Pulumi AWS provider plugin installed.

  2. can you send me the documentation of PythonPackageArchive


    The PythonPackageArchive class within the AWS provider for Pulumi does not have direct documentation, at least not in the context of the search results provided. However, it seems that PythonPackageArchive is more likely a part of a class used when defining a Lambda function, where you specify the path to your Python Lambda function code and its dependencies.

    To create a Lambda function that uses PythonPackageArchive, you would specify the local path to your Python code and the required requirements.txt file that lists your Python dependencies. Here's how you would define a Lambda function with Pulumi using PythonPackageArchive:

    import pulumi import pulumi_aws as aws # Define a new AWS Lambda resource py_lambda = aws.lambda_.Function('my-lambda-function', # Specify the path to the directory containing your Lambda function and requirements.txt code=aws.lambda_.PythonPackageArchive( path='path_to_your_python_lambda', ), handler='index.handler', # Modify with the appropriate handler path role='arn:aws:iam::123456789012:role/lambda-role', # Replace with the ARN of your IAM Role for Lambda runtime=aws.lambda_.Runtime.PYTHON_3_8, # Use the runtime appropriate for your Lambda )

    In this code, path_to_your_python_lambda is the relative path to the folder containing your Python handler file and requirements.txt. The handler should be the name of your Python file and the function within that file that Lambda will call, with index being the Python file name (excluding .py) and handler being the function name.

    For more details, you would typically look within the AWS Lambda resource documentation provided by Pulumi, which covers the function creation and also details about packaging:

    Please ensure to adjust the variables like path, handler, and role to match your specific AWS setup and Python application.