Creates AWS Codepipeline.
AWS Codepipeline Creator
aws-pipeline-creator creates a aws codepipeline cloudformation stack, and points to a build specifical file in the code repository
aws-pipeline-creator is on PyPI so all you need is:
$ pip install aws-pipeline-creator
$ pipeline-creator upsert --help Usage: pipeline-creator upsert [OPTIONS] primary function for creating a bucket :return: Options: -v, --version TEXT code version -d, --dryrun dry run -y, --yaml YAML template (deprecated - YAMLness is now detected at run-time --no-poll Start the stack work but do not poll -i, --ini TEXT INI file with needed information [required] --debug Turn on debugging --help Show this message and exit. pipeline-creator upsert -i config/my.ini
Example Ini file
[environment] # This is a general bucket where the cloudformation template will be uploaded to prior to deployment bucket = cloudformation-templates # The name you want on the cloudformation stack stack_name = my-stack-name region = us-east-1 profile = my-aws-profile [tags] # These are the tags which will be automatically applied to resources Name = test-codepipeline ResourceOwner = my_boss Project = MyCoolProject DeployedBy = me [parameters] # CodeCommit repository name RepositoryName = repo_name # Codecommit repository branch name RepositoryBranchName = master # A project name or code Project = test ProjectDescription = test # The role which is utilized for the code pipeline, see below for an example role policy BuildServiceRole = arn:aws:iam::123456789:role/AWSCodebuildRole BuildProjectName = MyBuild Subnets = subnet-c1234556 SecurityGroups = sg-123456 Timeout = 60 # The location in the repository where the build spec file is located BuildspecFile = folder/buildspec.yml # Set the environment code. This is how developers code deployments in the build spec. # If EnvCode = dev, then do this, if EnvCode is prod, then do that EnvironmentCode = dev VpcId = vpc-123456 # This is a bucket where the builds from each stage in the build process are stored DeploymentBucketName = codepipeline-deployments # The image to utilize # You can also use default AWS images from https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-available.html # Example: Image = aws/codebuild/docker:17.09.0 Image = 123456789.dkr.ecr.us-east-1.amazonaws.com/codepipeline:latest [meta-parameters] # These are the metadata parameters which are applied to the template via jinja2 ProjectName = myproject
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