Metadata-Version: 1.1
Name: bokchoi
Version: 0.2.6
Summary: UNKNOWN
Home-page: https://github.com/TimNooren/bokchoi
Author: Tim Nooren
Author-email: timnooren@gmail.com
License: MIT
Description: Bokchoi
        =======
        
        Bokchoi simplifies running Python batch jobs on AWS spot instances.
        Bokchoi handles requesting spot instances, deploying your code and
        ensures the spot requests are cancelled when all jobs are finished.
        
        Getting Started
        ---------------
        
        Installing
        ~~~~~~~~~~
        
        To install bokchoi:
        
        ::
        
            pip install bokchoi
        
        Settings
        ~~~~~~~~
        
        Say you have a project folder with a single python script:
        
        ::
        
            YourProjectFolder
            └─ deep_nn.py
        
        In your project folder create a settings file named
        **bokchoi\_settings.json**:
        
        ::
        
            YourProjectFolder
            ├─ deep_nn.py
            └─ bokchoi_settings.json
        
        This file should contain the following:
        
        .. code:: json
        
            {
              "<project_name>": {
                "EntryPoint": "deep_nn.main",
                "Region": "us-east-1",
                "Platform": "EC2",
                "Requirements": [
                  "numpy==1.13.0",
                  "boto3==1.4.4"
                ],
                "EC2": {
                  "InstanceCount": 1,
                  "SpotPrice": "0.1",
                  "LaunchSpecification": {
                    "ImageId": "ami-123456",
                    "InstanceType": "c4.large",
                    "SubnetId": "subnet-123456"
                  }
                }
              }
            }
        
        Deploying
        ~~~~~~~~~
        
        Deploying your job to AWS is now as simple as running:
        
        ::
        
            bokchoi project_name deploy
        
        | 
        | Bokchoi will package your project and upload it to S3. You can then
          use the following command to run your job:
        
        ::
        
            bokchoi project_name run
        
        | 
        | This will issue a spot request for the number of spot instances
          specified in the settings file. Every spot instance will download the
          packaged project from S3 and run the main function. Once the job is
          complete the instance will shut down. When all instances are finished
          the spot request will automatically be cancelled.
        
        Undeploying
        ~~~~~~~~~~~
        
        To undeploy your job, removing all resources from your AWS environment:
        
        ::
        
            bokchoi project_name undeploy
        
        | 
        | This will terminate any spot instances related to your job, cancel all
          spot requests and remove the packaged project from S3. Any IAM
          resources, such as policies, roles and instance profiles will also be
          removed.
        
        EMR
        ~~~
        
        Bokchoi now also supports running python applications on Amazon EMR. To
        run your app on an EMR cluster use the following settings:
        
        .. code:: json
        
            {
              "<project_name>": {
                "EntryPoint": "deep_nn.py",
                "Region": "us-east-1",
                "Platform": "EMR",
                "Requirements": [
                  "numpy==1.13.0",
                  "boto3==1.4.4"
                ],
                "EMR": {
                  "InstanceCount": 2,
                  "Version": "emr-5.8.0",
                  "SpotPrice": "0.10",
                  "LaunchSpecification": {
                    "InstanceType": "m1.medium",
                    "SubnetId": "subnet-123456",
                    "AdditionalSecurityGroups": ["sg-12ab34"]
                  }
                }
              }
            }
        
        Acknowledgements
        ----------------
        
        Shamelessly inspired by Zappa (https://github.com/Miserlou/Zappa)
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
