Metadata-Version: 2.1
Name: miniwdl-aws-studio
Version: 0.0.1
Summary: AWS CDK app to add miniwdl+GWFCore to existing SageMaker Studio
Home-page: UNKNOWN
Author: Wid L. Hacker
License: UNKNOWN
Description: 
        # miniwdl + GWFCore + SageMaker Studio
        
        This repository is a recipe for deploying **[miniwdl-aws](https://github.com/miniwdl-ext/miniwdl-aws)** and [GWFCore](https://github.com/aws-samples/aws-genomics-workflows) to use within [Amazon SageMaker Studio](https://aws.amazon.com/sagemaker/studio/), a web IDE with a terminal and filesystem browser. You can use the terminal to operate `miniwdl run` against GWFCore's AWS Batch stack, the filesystem browser to manage the inputs and outputs on EFS, and the Jupyter notebooks to further analyze the outputs.
        
        ## CDK boilerplate
        
        The `cdk.json` file tells the CDK Toolkit how to execute your app.
        
        This project is set up like a standard Python project.  The initialization
        process also creates a virtualenv within this project, stored under the `.venv`
        directory.  To create the virtualenv it assumes that there is a `python3`
        (or `python` for Windows) executable in your path with access to the `venv`
        package. If for any reason the automatic creation of the virtualenv fails,
        you can create the virtualenv manually.
        
        To manually create a virtualenv on MacOS and Linux:
        
        ```
        $ python3 -m venv .venv
        ```
        
        After the init process completes and the virtualenv is created, you can use the following
        step to activate your virtualenv.
        
        ```
        $ source .venv/bin/activate
        ```
        
        If you are a Windows platform, you would activate the virtualenv like this:
        
        ```
        % .venv\Scripts\activate.bat
        ```
        
        Once the virtualenv is activated, you can install the required dependencies.
        
        ```
        $ pip install -r requirements.txt
        ```
        
        At this point you can now synthesize the CloudFormation template for this code.
        
        ```
        $ cdk synth
        ```
        
        To add additional dependencies, for example other CDK libraries, just add
        them to your `setup.py` file and rerun the `pip install -r requirements.txt`
        command.
        
        ## Useful commands
        
         * `cdk ls`          list all stacks in the app
         * `cdk synth`       emits the synthesized CloudFormation template
         * `cdk deploy`      deploy this stack to your default AWS account/region
         * `cdk diff`        compare deployed stack with current state
         * `cdk docs`        open CDK documentation
        
        Enjoy!
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
