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"""This module contains AWS Lambda hook."""
from __future__ import annotations
from typing import Any
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.aws.utils import trim_none_values
[docs]class LambdaHook(AwsBaseHook):
"""
Interact with AWS Lambda.
Provide thin wrapper around :external+boto3:py:class:`boto3.client("lambda") <Lambda.Client>`.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
- :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
"""
def __init__(self, *args, **kwargs) -> None:
kwargs["client_type"] = "lambda"
super().__init__(*args, **kwargs)
[docs] def invoke_lambda(
self,
*,
function_name: str,
invocation_type: str | None = None,
log_type: str | None = None,
client_context: str | None = None,
payload: bytes | str | None = None,
qualifier: str | None = None,
):
"""
Invoke Lambda Function.
.. seealso::
- :external+boto3:py:meth:`Lambda.Client.invoke`
:param function_name: AWS Lambda Function Name
:param invocation_type: AWS Lambda Invocation Type (RequestResponse, Event etc)
:param log_type: Tail Invocation Request
:param client_context: Up to 3,583 bytes of base64-encoded data about the invoking client
to pass to the function in the context object.
:param payload: The JSON that you want to provide to your Lambda function as input.
:param qualifier: AWS Lambda Function Version or Alias Name
"""
if isinstance(payload, str):
payload = payload.encode()
invoke_args = {
"FunctionName": function_name,
"InvocationType": invocation_type,
"LogType": log_type,
"ClientContext": client_context,
"Payload": payload,
"Qualifier": qualifier,
}
return self.conn.invoke(**trim_none_values(invoke_args))
[docs] def create_lambda(
self,
*,
function_name: str,
runtime: str | None = None,
role: str,
handler: str | None = None,
code: dict,
description: str | None = None,
timeout: int | None = None,
memory_size: int | None = None,
publish: bool | None = None,
vpc_config: Any | None = None,
package_type: str | None = None,
dead_letter_config: Any | None = None,
environment: Any | None = None,
kms_key_arn: str | None = None,
tracing_config: Any | None = None,
tags: Any | None = None,
layers: list | None = None,
file_system_configs: list[Any] | None = None,
image_config: Any | None = None,
code_signing_config_arn: str | None = None,
architectures: list[str] | None = None,
) -> dict:
"""
Creates a Lambda function.
.. seealso::
- :external+boto3:py:meth:`Lambda.Client.create_function`
- `Configuring a Lambda function to access resources in a VPC \
<https://docs.aws.amazon.com/lambda/latest/dg/configuration-vpc.html>`__
:param function_name: AWS Lambda Function Name
:param runtime: The identifier of the function's runtime.
Runtime is required if the deployment package is a .zip file archive.
:param role: The Amazon Resource Name (ARN) of the function's execution role.
:param handler: The name of the method within your code that Lambda calls to run your function.
Handler is required if the deployment package is a .zip file archive.
:param code: The code for the function.
:param description: A description of the function.
:param timeout: The amount of time (in seconds) that Lambda
allows a function to run before stopping it.
:param memory_size: The amount of memory available to the function at runtime.
Increasing the function memory also increases its CPU allocation.
:param publish: Set to true to publish the first version of the function during creation.
:param vpc_config: For network connectivity to Amazon Web Services resources in a VPC,
specify a list of security groups and subnets in the VPC.
:param package_type: The type of deployment package.
Set to `Image` for container image and set to `Zip` for .zip file archive.
:param dead_letter_config: A dead-letter queue configuration that specifies the queue or topic
where Lambda sends asynchronous events when they fail processing.
:param environment: Environment variables that are accessible from function code during execution.
:param kms_key_arn: The ARN of the Key Management Service (KMS) key that's used to
encrypt your function's environment variables.
If it's not provided, Lambda uses a default service key.
:param tracing_config: Set `Mode` to `Active` to sample and trace
a subset of incoming requests with X-Ray.
:param tags: A list of tags to apply to the function.
:param layers: A list of function layers to add to the function's execution environment.
Specify each layer by its ARN, including the version.
:param file_system_configs: Connection settings for an Amazon EFS file system.
:param image_config: Container image configuration values that override
the values in the container image Dockerfile.
:param code_signing_config_arn: To enable code signing for this function,
specify the ARN of a code-signing configuration.
A code-signing configuration includes a set of signing profiles,
which define the trusted publishers for this function.
:param architectures: The instruction set architecture that the function supports.
"""
if package_type == "Zip":
if handler is None:
raise TypeError("Parameter 'handler' is required if 'package_type' is 'Zip'")
if runtime is None:
raise TypeError("Parameter 'runtime' is required if 'package_type' is 'Zip'")
"""Create a Lambda Function"""
create_function_args = {
"FunctionName": function_name,
"Runtime": runtime,
"Role": role,
"Handler": handler,
"Code": code,
"Description": description,
"Timeout": timeout,
"MemorySize": memory_size,
"Publish": publish,
"VpcConfig": vpc_config,
"PackageType": package_type,
"DeadLetterConfig": dead_letter_config,
"Environment": environment,
"KMSKeyArn": kms_key_arn,
"TracingConfig": tracing_config,
"Tags": tags,
"Layers": layers,
"FileSystemConfigs": file_system_configs,
"ImageConfig": image_config,
"CodeSigningConfigArn": code_signing_config_arn,
"Architectures": architectures,
}
return self.conn.create_function(**trim_none_values(create_function_args))
