MarketplaceCommerceAnalyticsClient#

Index > MarketplaceCommerceAnalytics > MarketplaceCommerceAnalyticsClient

Auto-generated documentation for MarketplaceCommerceAnalytics type annotations stubs module mypy-boto3-marketplacecommerceanalytics.

MarketplaceCommerceAnalyticsClient#

Type annotations and code completion for boto3.client("marketplacecommerceanalytics"). boto3 documentation

# MarketplaceCommerceAnalyticsClient usage example

from boto3.session import Session
from mypy_boto3_marketplacecommerceanalytics.client import MarketplaceCommerceAnalyticsClient

def get_marketplacecommerceanalytics_client() -> MarketplaceCommerceAnalyticsClient:
    return Session().client("marketplacecommerceanalytics")

Exceptions#

boto3 client exceptions are generated in runtime. This class provides code completion for boto3.client("marketplacecommerceanalytics").exceptions structure.

# Exceptions.exceptions usage example

client = boto3.client("marketplacecommerceanalytics")

try:
    do_something(client)
except (
    client.exceptions.ClientError,
    client.exceptions.MarketplaceCommerceAnalyticsException,
) as e:
    print(e)

# Exceptions.exceptions type checking example

from mypy_boto3_marketplacecommerceanalytics.client import Exceptions

def handle_error(exc: Exceptions.ClientError) -> None:
    ...

Methods#

can_paginate#

Check if an operation can be paginated.

Type annotations and code completion for boto3.client("marketplacecommerceanalytics").can_paginate method. boto3 documentation

# can_paginate method definition

def can_paginate(
    self,
    operation_name: str,
) -> bool:
    ...

close#

Closes underlying endpoint connections.

Type annotations and code completion for boto3.client("marketplacecommerceanalytics").close method. boto3 documentation

# close method definition

def close(
    self,
) -> None:
    ...

generate_data_set#

Given a data set type and data set publication date, asynchronously publishes the requested data set to the specified S3 bucket and notifies the specified SNS topic once the data is available.

Type annotations and code completion for boto3.client("marketplacecommerceanalytics").generate_data_set method. boto3 documentation

# generate_data_set method definition

def generate_data_set(
    self,
    *,
    dataSetType: DataSetTypeType,  # (1)
    dataSetPublicationDate: Union[datetime, str],
    roleNameArn: str,
    destinationS3BucketName: str,
    snsTopicArn: str,
    destinationS3Prefix: str = ...,
    customerDefinedValues: Mapping[str, str] = ...,
) -> GenerateDataSetResultTypeDef:  # (2)
    ...

See DataSetTypeType
See GenerateDataSetResultTypeDef

# generate_data_set method usage example with argument unpacking

kwargs: GenerateDataSetRequestRequestTypeDef = {  # (1)
    "dataSetType": ...,
    "dataSetPublicationDate": ...,
    "roleNameArn": ...,
    "destinationS3BucketName": ...,
    "snsTopicArn": ...,
}

parent.generate_data_set(**kwargs)

See GenerateDataSetRequestRequestTypeDef

generate_presigned_url#

Generate a presigned url given a client, its method, and arguments.

Type annotations and code completion for boto3.client("marketplacecommerceanalytics").generate_presigned_url method. boto3 documentation

# generate_presigned_url method definition

def generate_presigned_url(
    self,
    ClientMethod: str,
    Params: Mapping[str, Any] = ...,
    ExpiresIn: int = 3600,
    HttpMethod: str = ...,
) -> str:
    ...

start_support_data_export#

This target has been deprecated. Given a data set type and a from date, asynchronously publishes the requested customer support data to the specified S3 bucket and notifies the specified SNS topic once the data is available.

Type annotations and code completion for boto3.client("marketplacecommerceanalytics").start_support_data_export method. boto3 documentation

# start_support_data_export method definition

def start_support_data_export(
    self,
    *,
    dataSetType: SupportDataSetTypeType,  # (1)
    fromDate: Union[datetime, str],
    roleNameArn: str,
    destinationS3BucketName: str,
    snsTopicArn: str,
    destinationS3Prefix: str = ...,
    customerDefinedValues: Mapping[str, str] = ...,
) -> StartSupportDataExportResultTypeDef:  # (2)
    ...

# start_support_data_export method usage example with argument unpacking

kwargs: StartSupportDataExportRequestRequestTypeDef = {  # (1)
    "dataSetType": ...,
    "fromDate": ...,
    "roleNameArn": ...,
    "destinationS3BucketName": ...,
    "snsTopicArn": ...,
}

parent.start_support_data_export(**kwargs)

See StartSupportDataExportRequestRequestTypeDef