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AWS metadata as dataframes

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Submodules

awsdf.aws module

Main module.

class awsdf.aws.Account(aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None, region_name=None, profile_name=None)

Bases: object

property accountid

athena_create_table(dataframe_to_upload: DataFrame, table_name: str, s3_path: str, database=’qdl_temp’, mode=’overwrite’)

create_athena_table

Arguments:

dataframe_to_upload

athena_execute_query(database: str, query: str, use_cache: bool = True)

athena_get_view_definition(database: str, viewname: str, query_location: str)

ec2_get_instance_id(hostname)

ec2_get_instanceip(ec2_instance_id)

ec2_get_instances()

ecs_get_allservices() -> DataFrame

ecs_get_clusters() -> DataFrame

ecs_get_container_ec2_instanceid(cluster_arn, container_instance)

ecs_get_container_instance(cluster_arn, task_arn)

ecs_get_services(cluster_arn) -> DataFrame

ecs_get_tasks(cluster_arn, service_arn)

get_available_profiles() -> list[str]

glue_get_databases() -> DataFrame

glue_get_job_history(job_name, no_of_runs=1)

glue_get_jobs()

glue_get_tables(dbname=None)

iam_get_accountid() -> str

lambda_get_functions()

lambda_get_invocations(lambda_name, start_date=None, end_date=None)

lambda_get_metrics_list(namespace=’AWS/Lambda’)

property region

s3_wait_check_object_exists(bucket_name, key_name)

property session

sfn_get_statemachines()

awsdf.aws.get_value(key, obj)

awsdf.aws.keyexists(key, dictionary)

Module contents

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