# -*- coding: utf-8 -*-
import boto3
from troposphere_mate import StackManager
from troposphere_mate.examples.nested_stack import tier_master_iam_inst_profile as cft
aws_profile = "eq_sanhe"
aws_region = "us-east-1"
cft_bucket = "eq-sanhe-for-everything"
env_name = "tropo-mate-examples-nested-stack-dev"
boto_ses = boto3.session.Session(profile_name=aws_profile, region_name=aws_region)
sm = StackManager(boto_ses=boto_ses, cft_bucket=cft_bucket)
sm.deploy(
template=cft.template,
stack_name=env_name,
stack_parameters={
cft.param_env_name.title: env_name
},
include_iam=True,
)
# -*- coding: utf-8 -*-
from seedinvest_monitor.cf import template, config
from seedinvest_monitor.boto_ses import boto_ses
from troposphere_mate import StackManager
template.to_file("master.json")
stack_manager = StackManager(
boto_ses=boto_ses,
cft_bucket=config.S3_BUCKET_FOR_DEPLOY.get_value(),
)
config_data = config.to_cloudformation_config_data()
stack_parameters = {key: config_data[key] for key in template.parameters}
stack_manager.deploy(
template,
stack_name=config.ENVIRONMENT_NAME.get_value(),
stack_parameters=stack_parameters,
include_iam=True,
)
template = webapp.template
#--- Add
template.add_resource(webapp.ecs_task_definition_execution_role)
template.add_resource(webapp.ecs_task_definition)
template.add_resource(webapp.sg_for_elb)
template.add_resource(webapp.elb_lb)
template.add_resource(webapp.sg_for_ecs)
template.add_resource(webapp.elb_default_target_group)
template.add_resource(webapp.elb_listener)
template.add_resource(webapp.ecs_service)
# --- Remove
sm = StackManager(
boto_ses=boto_ses,
cft_bucket=config.S3_BUCKET_FOR_DEPLOY.get_value(),
)
sm.deploy(
template=template,
stack_name=config.ENVIRONMENT_NAME.get_value(),
stack_tags={
"ProjectName": config.PROJECT_NAME.get_value(),
},
include_iam=True,
)
your DevOps automation scripts.
The CloudFormation template will be generated from a python script that taking
all configurations and smartly decide which AWS resource and the naming convention
should be created. You can extend it by changing the
``./rabbit_docker_cicd_pipeline/cf/__init__.py`` file.
``troposphere_mate`` allows you to deploy your CloudFormation stack to AWS
from Python.
"""
import boto3
from rabbit_docker_cicd_pipeline.cf import config, template, param_env_name
from troposphere_mate import StackManager
boto_ses = boto3.session.Session(
profile_name=config.AWS_PROFILE_FOR_BOTO3.get_value(),
region_name=config.AWS_REGION.get_value(),
)
sm = StackManager(boto_ses=boto_ses, cft_bucket=config.S3_BUCKET_FOR_DEPLOY.get_value())
sm.deploy(
template=template,
stack_name="pygitrepo-{}".format(config.ENVIRONMENT_NAME.get_value()),
stack_parameters={
param_env_name.title: "pygitrepo-{}".format(config.ENVIRONMENT_NAME.get_value()),
},
include_iam=True
)
# -*- coding: utf-8 -*-
"""
This script implements one-click create all AWS ECR repository.
"""
from pathlib_mate import Path
from troposphere_mate import StackManager
from create_app import app
from rabbit_docker_cicd_pipeline.cf.ecr_tier import create_template
HERE = Path(__file__).parent
app.plan()
template = create_template(app)
sm = StackManager(
boto_ses=app.app_boto_ses,
cft_bucket=app.app_cft_bucket,
)
sm.deploy(template, stack_name=app.app_name)
should be created. You can extend it by changing the
``./bgs_deploy/cf/__init__.py`` file.
``troposphere_mate`` allows you to deploy your CloudFormation stack to AWS
from Python.
"""
import boto3
from bgs_deploy.cf import ecs_example
from troposphere_mate import StackManager
config = ecs_example.config
ecs_example.template.add_resource(ecs_example.ecr_repo_webapp)
boto_ses = boto3.session.Session(
profile_name=config.AWS_PROFILE_FOR_BOTO3.get_value(),
region_name=config.AWS_REGION.get_value(),
)
sm = StackManager(
boto_ses=boto_ses,
cft_bucket=ecs_example.config.S3_BUCKET_FOR_DEPLOY.get_value())
sm.deploy(template=ecs_example.template,
stack_name=config.ECS_EXAMPLE_ENVIRONMENT_NAME.get_value(),
stack_parameters={
ecs_example.param_env_name.title:
config.ECS_EXAMPLE_ENVIRONMENT_NAME.get_value(),
},
include_iam=True)