python-aws-lambda-packager's Introduction

lambda-packager

Currently, requires python >=3.8 and later due to required features of copytree

##Usage

You can run with the following:

$ lambda-packager
 # or if not in the project directory  
$ lambda-packager --project-directory path/to/project/dir

lambda-packager will include any dependencies defined in
- poetry (pyproject.toml)
- requirements.txt
- ~~Pipenv~~ (Coming soon!)
By default lambda-packager will include all src files that match *.py
You can customise this through config in pyproject.toml:

[tool.lambda-packager]
src_patterns = ["lambda_packager/*.py"]

Hidden files

Hidden files and folders are ignored by default when including src files
if you wish to disable this, then add the following config to your pyproject.toml

[tool.lambda-packager]
ignore_hidden_files = false

Ignore folders

If there are folders that you wish always exclude, then you can use ignore_folders Note: ignore_folders is always respected even if there was a match via src_patterns

[tool.lambda-packager]
ignore_folders = ["venv"]

Full usage

usage: lambda-packager [-h] [--project-directory PROJECT_DIRECTORY] [-l {DEBUG,INFO,WARNING,ERROR}]

Build code and dependencies into zip files that can be uploaded and run in AWS Lambda

optional arguments:
  -h, --help            show this help message and exit
  --project-directory PROJECT_DIRECTORY
                        The path to the top level project directory. This is where source files and files that declare dependencies are expected to be held. Defaults to current directory
  -l {DEBUG,INFO,WARNING,ERROR}, --log-level {DEBUG,INFO,WARNING,ERROR}
                        set output verbosity, defaults to 'INFO'