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__main__.py
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"""An AWS Python Pulumi program"""
import iam
import pulumi
import pulumi_aws as aws
region = aws.config.region
custom_stage_name = "example"
##################
## Lambda Function
##################
# Create a Lambda function, using code from the `./app` folder.
lambda_func = aws.lambda_.Function(
"mylambda",
role=iam.lambda_role.arn,
runtime="python3.7",
handler="hello.handler",
code=pulumi.AssetArchive({".": pulumi.FileArchive("./hello_lambda")}),
)
####################################################################
##
## API Gateway REST API (API Gateway V1 / original)
## /{proxy+} - passes all requests through to the lambda function
##
####################################################################
# Create a single Swagger spec route handler for a Lambda function.
def swagger_route_handler(arn):
return {
"x-amazon-apigateway-any-method": {
"x-amazon-apigateway-integration": {
"uri": pulumi.Output.format(
"arn:aws:apigateway:{0}:lambda:path/2015-03-31/functions/{1}/invocations",
region,
arn,
),
"passthroughBehavior": "when_no_match",
"httpMethod": "POST",
"type": "aws_proxy",
},
},
}
# Create the API Gateway Rest API, using a swagger spec.
rest_api = aws.apigateway.RestApi(
"api",
body=pulumi.Output.json_dumps(
{
"swagger": "2.0",
"info": {"title": "api", "version": "1.0"},
"paths": {
"/{proxy+}": swagger_route_handler(lambda_func.arn),
},
}
),
)
# Create a deployment of the Rest API.
deployment = aws.apigateway.Deployment(
"api-deployment",
rest_api=rest_api.id,
# Note: Set to empty to avoid creating an implicit stage, we'll create it
# explicitly below instead.
stage_name="",
)
# Create a stage, which is an addressable instance of the Rest API. Set it to point at the latest deployment.
stage = aws.apigateway.Stage(
"api-stage",
rest_api=rest_api.id,
deployment=deployment.id,
stage_name=custom_stage_name,
)
# Give permissions from API Gateway to invoke the Lambda
rest_invoke_permission = aws.lambda_.Permission(
"api-rest-lambda-permission",
action="lambda:invokeFunction",
function=lambda_func.name,
principal="apigateway.amazonaws.com",
source_arn=deployment.execution_arn.apply(lambda arn: arn + "*/*"),
)
#########################################################################
# Create an HTTP API and attach the lambda function to it
## /{proxy+} - passes all requests through to the lambda function
##
#########################################################################
http_endpoint = aws.apigatewayv2.Api("http-api-pulumi-example", protocol_type="HTTP")
http_lambda_backend = aws.apigatewayv2.Integration(
"example",
api_id=http_endpoint.id,
integration_type="AWS_PROXY",
connection_type="INTERNET",
description="Lambda example",
integration_method="POST",
integration_uri=lambda_func.arn,
passthrough_behavior="WHEN_NO_MATCH",
)
url = http_lambda_backend.integration_uri
http_route = aws.apigatewayv2.Route(
"example-route",
api_id=http_endpoint.id,
route_key="ANY /{proxy+}",
target=http_lambda_backend.id.apply(lambda targetUrl: "integrations/" + targetUrl),
)
http_stage = aws.apigatewayv2.Stage(
"example-stage",
api_id=http_endpoint.id,
route_settings=[
{
"route_key": http_route.route_key,
"throttling_burst_limit": 1,
"throttling_rate_limit": 0.5,
}
],
auto_deploy=True,
)
# Give permissions from API Gateway to invoke the Lambda
http_invoke_permission = aws.lambda_.Permission(
"api-http-lambda-permission",
action="lambda:invokeFunction",
function=lambda_func.name,
principal="apigateway.amazonaws.com",
source_arn=http_endpoint.execution_arn.apply(lambda arn: arn + "*/*"),
)
# Export the https endpoint of the running Rest API
pulumi.export(
"apigateway-rest-endpoint",
deployment.invoke_url.apply(lambda url: url + custom_stage_name + "/{proxy+}"),
)
# See "Outputs" for (Inputs and Outputs)[https://www.pulumi.com/docs/intro/concepts/inputs-outputs/] the usage of the pulumi.Output.all function to do string concatenation
pulumi.export(
"apigatewayv2-http-endpoint",
pulumi.Output.all(http_endpoint.api_endpoint, http_stage.name).apply(
lambda values: values[0] + "/" + values[1] + "/"
),
)