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feat: Passing resources between stacks (#210)
* resource passing * fix comment * Update setup.py Co-authored-by: Noah Litov <[email protected]>
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# Passing References Between Stacks! | ||
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These two folders contain examples of how to pass resources between stacks. | ||
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In each folder, you can run the following commands to synthesize the CDK | ||
Applications. | ||
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To manually create a virtualenv on MacOS and Linux: | ||
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``` | ||
$ python3 -m venv .env | ||
``` | ||
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After the init process completes and the virtualenv is created, you can use the following | ||
step to activate your virtualenv. | ||
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``` | ||
$ source .env/bin/activate | ||
``` | ||
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If you are a Windows platform, you would activate the virtualenv like this: | ||
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``` | ||
% .env\Scripts\activate.bat | ||
``` | ||
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Once the virtualenv is activated, you can install the required dependencies. | ||
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``` | ||
$ pip install -r requirements.txt | ||
``` | ||
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At this point you can now synthesize the CloudFormation template for this code. | ||
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``` | ||
$ cdk synth | ||
``` | ||
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You can now begin exploring the source code, contained in the hello directory. | ||
There is also a very trivial test included that can be run like this: | ||
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``` | ||
$ pytest | ||
``` | ||
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To add additional dependencies, for example other CDK libraries, just add to | ||
your requirements.txt file and rerun the `pip install -r requirements.txt` | ||
command. | ||
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## Useful commands | ||
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* `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 | ||
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Enjoy! |
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# Native Objects Example For Passing Resources Between Stacks! | ||
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One of my favorite parts about CDK is that I don't have to be concerned with how | ||
the underlying cloudformation expects resources. Ideally the level of | ||
abstraction that I want to deal with is that I have a Lambda Function in one | ||
stack and I want to just hand the whole function to other stacks that need it. | ||
I do not have to worry about whether API Gateway expects a Function Name or a | ||
Function ARN or some other identifier for a Function, I can simply pass the | ||
Function Object to the stacks that need it and let CDK handle the details. | ||
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In this example we create an AWS Lambda Function in one stack and then make it | ||
available as a property of that stack for other stacks to consume. | ||
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in infrastructure_stack.py: | ||
```python | ||
@property | ||
def main_function(self) -> lambda_.IFunction: | ||
return self._function | ||
``` | ||
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We later refrence this property in app.py as follows: | ||
```python | ||
infra.main_function | ||
``` | ||
where `infra` is the variable we use to identify our InfrastructureStack. |
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#!/usr/bin/env python3 | ||
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from aws_cdk import core | ||
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from native_objects.application_stack import ApplicationStack | ||
from native_objects.infrastructure_stack import InfrastructureStack | ||
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app = core.App() | ||
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env={'region': 'us-west-2'} | ||
# Base infrastructure stack, Lambda Functions, DynamoDB Tables, etc.... | ||
infra = InfrastructureStack(app, "infrastructure", env=env) | ||
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# Application stack that generally changes independently of the underlying infrastructure stack | ||
application = ApplicationStack(app, "application", referenced_function=infra.main_function, env=env) | ||
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app.synth() |
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{ | ||
"app": "python3 app.py" | ||
} |
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python/cross-stack-resources/native-objects/native_objects/application_stack.py
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from aws_cdk import ( | ||
aws_lambda as lambda_, | ||
aws_apigateway as apigw, | ||
core | ||
) | ||
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class ApplicationStack(core.Stack): | ||
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def __init__(self, scope: core.Construct, id: str, referenced_function: lambda_.IFunction, **kwargs) -> None: | ||
super().__init__(scope, id, **kwargs) | ||
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my_api = apigw.LambdaRestApi(self, "myRestAPI", handler=referenced_function) | ||
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python/cross-stack-resources/native-objects/native_objects/infrastructure_stack.py
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from aws_cdk import ( | ||
aws_lambda as lambda_, | ||
core | ||
) | ||
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class InfrastructureStack(core.Stack): | ||
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def __init__(self, scope: core.Construct, id: str, **kwargs) -> None: | ||
super().__init__(scope, id, **kwargs) | ||
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my_main_func = lambda_.Function( | ||
self, | ||
"myMainFunction", | ||
code=lambda_.InlineCode("def main(event, context)\n print('hello, world')"), | ||
handler='index.main', | ||
runtime=lambda_.Runtime.PYTHON_3_7 | ||
) | ||
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# We assign the function to a local variable for the Object. | ||
self._function = my_main_func | ||
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# Using the property decorator | ||
@property | ||
def main_function(self) -> lambda_.IFunction: | ||
return self._function |
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-e . | ||
pytest |
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import setuptools | ||
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with open("README.md") as fp: | ||
long_description = fp.read() | ||
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setuptools.setup( | ||
name="native-objects", | ||
version="1.0.0", | ||
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description="A python CDK example for passing resources between stacks", | ||
long_description=long_description, | ||
long_description_content_type="text/markdown", | ||
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author="Richard Boyd", | ||
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package_dir={"": "native_objects"}, | ||
packages=setuptools.find_packages(where="native_objects"), | ||
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install_requires=[ | ||
"aws-cdk.core", | ||
"aws-cdk.aws_apigateway", | ||
"aws-cdk.aws_lambda" | ||
], | ||
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python_requires=">=3.6", | ||
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classifiers=[ | ||
"Development Status :: 4 - Beta", | ||
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"Intended Audience :: Developers", | ||
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"License :: OSI Approved :: Apache Software License", | ||
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"Programming Language :: JavaScript", | ||
"Programming Language :: Python :: 3 :: Only", | ||
"Programming Language :: Python :: 3.6", | ||
"Programming Language :: Python :: 3.7", | ||
"Programming Language :: Python :: 3.8", | ||
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"Topic :: Software Development :: Code Generators", | ||
"Topic :: Utilities", | ||
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"Typing :: Typed", | ||
], | ||
) |
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@echo off | ||
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rem The sole purpose of this script is to make the command | ||
rem | ||
rem source .env/bin/activate | ||
rem | ||
rem (which activates a Python virtualenv on Linux or Mac OS X) work on Windows. | ||
rem On Windows, this command just runs this batch file (the argument is ignored). | ||
rem | ||
rem Now we don't need to document a Windows command for activating a virtualenv. | ||
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echo Executing .env\Scripts\activate.bat for you | ||
.env\Scripts\activate.bat |
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# Raw String Example For Passing Resources Between Stacks! | ||
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If you're coming from a strong background in cloudformation, you may either | ||
have a preference for passing resources as strings (the way AWS Cloudformation | ||
does natively) or your existing infrastructure may already extensively leverage | ||
imports/exports and you'd like to maintain a consistent paradigm across your | ||
applications. | ||
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In this example we create an AWS Lambda Function in one stack and then make its | ||
ARN available as a property of that stack for other stacks to consume. | ||
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in infrastructure_stack.py: | ||
```python | ||
@property | ||
def main_function_arn(self): | ||
return self._function_arn | ||
``` | ||
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We later refrence this property in app.py as follows: | ||
```python | ||
infra.main_function_arn | ||
``` | ||
where `infra` is the variable we use to identify our InfrastructureStack. |
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#!/usr/bin/env python3 | ||
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from aws_cdk import core | ||
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from raw_strings.application_stack import ApplicationStack | ||
from raw_strings.infrastructure_stack import InfrastructureStack | ||
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app = core.App() | ||
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env={'region': 'us-west-2'} | ||
# Base infrastructure stack, Lambda Functions, DynamoDB Tables, etc.... | ||
infra = InfrastructureStack(app, "infrastructure", env=env) | ||
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# Application stack that generally changes independently of the underlying infrastructure stack | ||
application = ApplicationStack(app, "application", lambda_arn=infra.main_function_arn, env=env) | ||
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app.synth() |
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{ | ||
"app": "python3 app.py" | ||
} |
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python/cross-stack-resources/raw-strings/raw_strings/application_stack.py
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from aws_cdk import ( | ||
aws_lambda as lambda_, | ||
aws_apigateway as apigw, | ||
core | ||
) | ||
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class ApplicationStack(core.Stack): | ||
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def __init__(self, scope: core.Construct, id: str, lambda_arn: str, **kwargs) -> None: | ||
super().__init__(scope, id, **kwargs) | ||
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referenced_function = lambda_.Function.from_function_arn(self, id="LocalNameForFunction", function_arn=lambda_arn) | ||
my_api = apigw.LambdaRestApi(self, "myRestAPI", handler=referenced_function) | ||
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26
python/cross-stack-resources/raw-strings/raw_strings/infrastructure_stack.py
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from aws_cdk import ( | ||
aws_lambda as lambda_, | ||
aws_dynamodb as ddb, | ||
core | ||
) | ||
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class InfrastructureStack(core.Stack): | ||
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def __init__(self, scope: core.Construct, id: str, **kwargs) -> None: | ||
super().__init__(scope, id, **kwargs) | ||
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my_main_func = lambda_.Function( | ||
self, | ||
"myMainFunction", | ||
code=lambda_.InlineCode("def main(event, context)\n print('hello, world')"), | ||
handler='index.main', | ||
runtime=lambda_.Runtime.PYTHON_3_7 | ||
) | ||
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# We assign the function's arn to a local variable for the Object. | ||
self._function_arn = my_main_func.function_arn | ||
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# Using the property decorator | ||
@property | ||
def main_function_arn(self): | ||
return self._function_arn |
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-e . | ||
pytest |
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import setuptools | ||
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with open("README.md") as fp: | ||
long_description = fp.read() | ||
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setuptools.setup( | ||
name="raw_strings", | ||
version="0.0.1", | ||
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description="A sample CDK Python app", | ||
long_description=long_description, | ||
long_description_content_type="text/markdown", | ||
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author="author", | ||
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package_dir={"": "raw_strings"}, | ||
packages=setuptools.find_packages(where="raw_strings"), | ||
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install_requires=[ | ||
"aws-cdk.core", | ||
"aws-cdk.aws_apigateway", | ||
"aws-cdk.aws_lambda", | ||
"aws-cdk.aws_dynamodb" | ||
], | ||
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python_requires=">=3.6", | ||
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classifiers=[ | ||
"Development Status :: 4 - Beta", | ||
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"Intended Audience :: Developers", | ||
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"License :: OSI Approved :: Apache Software License", | ||
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"Programming Language :: JavaScript", | ||
"Programming Language :: Python :: 3 :: Only", | ||
"Programming Language :: Python :: 3.6", | ||
"Programming Language :: Python :: 3.7", | ||
"Programming Language :: Python :: 3.8", | ||
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"Topic :: Software Development :: Code Generators", | ||
"Topic :: Utilities", | ||
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"Typing :: Typed", | ||
], | ||
) |
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@echo off | ||
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rem The sole purpose of this script is to make the command | ||
rem | ||
rem source .env/bin/activate | ||
rem | ||
rem (which activates a Python virtualenv on Linux or Mac OS X) work on Windows. | ||
rem On Windows, this command just runs this batch file (the argument is ignored). | ||
rem | ||
rem Now we don't need to document a Windows command for activating a virtualenv. | ||
|
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echo Executing .env\Scripts\activate.bat for you | ||
.env\Scripts\activate.bat |