Lambda

lambda.function
lambda.function.function_alias
lambda.function.function_version
lambda.layer
lambda.layer.layer_version

lambda.function

class lambda.function

Discovery Example:

>>> from cloudwanderer import CloudWanderer, ServiceResourceType
>>> from cloudwanderer.storage_connectors import GremlinStorageConnector
>>> cloud_wanderer = CloudWanderer(storage_connectors=[
...        GremlinStorageConnector(
...          endpoint_url="ws://localhost:8182",
...        )
...    ])
>>> cloud_wanderer.write_resources(
...     service_resource_types=[ServiceResourceType("lambda","function")]
... )

OpenCypher Example:

How to query resources of this type using OpenCypher in Neptune.

MATCH (function:aws_lambda_function)
RETURN *

Gremlin Example:

How to query resources of this type using Gremlin in Neptune/local Gremlin.

g.V().hasLabel('aws_lambda_function').out().path().by(valueMap(true))

architectures: The instruction set architecture that the function supports. Architecture is a string array with one of the valid values. The default architecture value is x86_64 .

code_sha256: The SHA256 hash of the function’s deployment package.

code_size: The size of the function’s deployment package, in bytes.

dead_letter_config: The function’s dead letter queue.

description: The function’s description.

environment: The function’s environment variables .

file_system_configs: Connection settings for an Amazon EFS file system .

function_arn: The function’s Amazon Resource Name (ARN).

handler: The function that Lambda calls to begin executing your function.

image_config_response: The function’s image configuration values.

kms_key_arn: The KMS key that’s used to encrypt the function’s environment variables. This key is only returned if you’ve configured a customer managed key.

last_modified: The date and time that the function was last updated, in ISO-8601 format (YYYY-MM-DDThh:mm:ss.sTZD).

last_update_status: The status of the last update that was performed on the function. This is first set to Successful after function creation completes.

last_update_status_reason: The reason for the last update that was performed on the function.

last_update_status_reason_code: The reason code for the last update that was performed on the function.

layers: The function’s layers .

master_arn: For Lambda@Edge functions, the ARN of the main function.

memory_size: The amount of memory available to the function at runtime.

package_type: The type of deployment package. Set to Image for container image and set Zip for .zip file archive.

revision_id: The latest updated revision of the function or alias.

role: The function’s execution role.

runtime: The runtime environment for the Lambda function.

signing_job_arn: The ARN of the signing job.

signing_profile_version_arn: The ARN of the signing profile version.

state: The current state of the function. When the state is Inactive , you can reactivate the function by invoking it.

state_reason: The reason for the function’s current state.

state_reason_code: The reason code for the function’s current state. When the code is Creating , you can’t invoke or modify the function.

timeout: The amount of time in seconds that Lambda allows a function to run before stopping it.

tracing_config: The function’s X-Ray tracing configuration.

version: The version of the Lambda function.

vpc_config: The function’s networking configuration.

lambda.function.function_alias

class lambda.function.function_alias

A subresource of lambda.function.

Discovery Example:

>>> from cloudwanderer import CloudWanderer, ServiceResourceType
>>> from cloudwanderer.storage_connectors import GremlinStorageConnector
>>> cloud_wanderer = CloudWanderer(storage_connectors=[
...        GremlinStorageConnector(
...          endpoint_url="ws://localhost:8182",
...        )
...    ])
>>> cloud_wanderer.write_resources(
...     service_resource_types=[ServiceResourceType("lambda","function_alias")]
... )

OpenCypher Example:

How to query resources of this type using OpenCypher in Neptune.

MATCH (function_alias:aws_lambda_function_alias)
RETURN *

Gremlin Example:

How to query resources of this type using Gremlin in Neptune/local Gremlin.

g.V().hasLabel('aws_lambda_function_alias').out().path().by(valueMap(true))

alias_arn: The Amazon Resource Name (ARN) of the alias.

description: A description of the alias.

function_version: The function version that the alias invokes.

revision_id: A unique identifier that changes when you update the alias.

routing_config: The routing configuration of the alias.

lambda.function.function_version

class lambda.function.function_version

A subresource of lambda.function.

../_images/lambda_function_version.gv.png

Discovery Example:

>>> from cloudwanderer import CloudWanderer, ServiceResourceType
>>> from cloudwanderer.storage_connectors import GremlinStorageConnector
>>> cloud_wanderer = CloudWanderer(storage_connectors=[
...        GremlinStorageConnector(
...          endpoint_url="ws://localhost:8182",
...        )
...    ])
>>> cloud_wanderer.write_resources(
...     service_resource_types=[ServiceResourceType("lambda","function_version")]
... )

OpenCypher Example:

How to query resources of this type using OpenCypher in Neptune.

MATCH (function_version:aws_lambda_function_version)
RETURN *

Gremlin Example:

How to query resources of this type using Gremlin in Neptune/local Gremlin.

g.V().hasLabel('aws_lambda_function_version').out().path().by(valueMap(true))

architectures: The instruction set architecture that the function supports. Architecture is a string array with one of the valid values. The default architecture value is x86_64 .

code_sha256: The SHA256 hash of the function’s deployment package.

code_size: The size of the function’s deployment package, in bytes.

dead_letter_config: The function’s dead letter queue.

description: The function’s description.

environment: The function’s environment variables .

file_system_configs: Connection settings for an Amazon EFS file system .

function_arn: The function’s Amazon Resource Name (ARN).

handler: The function that Lambda calls to begin executing your function.

image_config_response: The function’s image configuration values.

kms_key_arn: The KMS key that’s used to encrypt the function’s environment variables. This key is only returned if you’ve configured a customer managed key.

last_modified: The date and time that the function was last updated, in ISO-8601 format (YYYY-MM-DDThh:mm:ss.sTZD).

last_update_status: The status of the last update that was performed on the function. This is first set to Successful after function creation completes.

last_update_status_reason: The reason for the last update that was performed on the function.

last_update_status_reason_code: The reason code for the last update that was performed on the function.

layers: The function’s layers .

master_arn: For Lambda@Edge functions, the ARN of the main function.

memory_size: The amount of memory available to the function at runtime.

package_type: The type of deployment package. Set to Image for container image and set Zip for .zip file archive.

revision_id: The latest updated revision of the function or alias.

role: The function’s execution role.

runtime: The runtime environment for the Lambda function.

signing_job_arn: The ARN of the signing job.

signing_profile_version_arn: The ARN of the signing profile version.

state: The current state of the function. When the state is Inactive , you can reactivate the function by invoking it.

state_reason: The reason for the function’s current state.

state_reason_code: The reason code for the function’s current state. When the code is Creating , you can’t invoke or modify the function.

timeout: The amount of time in seconds that Lambda allows a function to run before stopping it.

tracing_config: The function’s X-Ray tracing configuration.

vpc_config: The function’s networking configuration.

lambda.layer

class lambda.layer

Discovery Example:

>>> from cloudwanderer import CloudWanderer, ServiceResourceType
>>> from cloudwanderer.storage_connectors import GremlinStorageConnector
>>> cloud_wanderer = CloudWanderer(storage_connectors=[
...        GremlinStorageConnector(
...          endpoint_url="ws://localhost:8182",
...        )
...    ])
>>> cloud_wanderer.write_resources(
...     service_resource_types=[ServiceResourceType("lambda","layer")]
... )

OpenCypher Example:

How to query resources of this type using OpenCypher in Neptune.

MATCH (layer:aws_lambda_layer)
RETURN *

Gremlin Example:

How to query resources of this type using Gremlin in Neptune/local Gremlin.

g.V().hasLabel('aws_lambda_layer').out().path().by(valueMap(true))

latest_matching_version: The newest version of the layer.

layer_arn: The Amazon Resource Name (ARN) of the function layer.

lambda.layer.layer_version

class lambda.layer.layer_version

A subresource of lambda.layer.

Discovery Example:

>>> from cloudwanderer import CloudWanderer, ServiceResourceType
>>> from cloudwanderer.storage_connectors import GremlinStorageConnector
>>> cloud_wanderer = CloudWanderer(storage_connectors=[
...        GremlinStorageConnector(
...          endpoint_url="ws://localhost:8182",
...        )
...    ])
>>> cloud_wanderer.write_resources(
...     service_resource_types=[ServiceResourceType("lambda","layer_version")]
... )

OpenCypher Example:

How to query resources of this type using OpenCypher in Neptune.

MATCH (layer_version:aws_lambda_layer_version)
RETURN *

Gremlin Example:

How to query resources of this type using Gremlin in Neptune/local Gremlin.

g.V().hasLabel('aws_lambda_layer_version').out().path().by(valueMap(true))

compatible_architectures: A list of compatible instruction set architectures .

compatible_runtimes: The layer’s compatible runtimes.

created_date: The date that the version was created, in ISO 8601 format. For example, 2018-11-27T15:10:45.123+0000 .

description: The description of the version.

layer_version_arn: The ARN of the layer version.

license_info: The layer’s open-source license.