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Examples#

Index > KendraRanking > Examples

Auto-generated documentation for KendraRanking type annotations stubs module types-aiobotocore-kendra-ranking.

Client#

Implicit type annotations#

Can be used with types-aioboto3[kendra-ranking] package installed.

Write your KendraRanking code as usual, type checking and code completion should work out of the box.

# KendraRankingClient usage example

from aioboto3.session import Session


session = Session()

async with session.client("kendra-ranking") as client:  # (1)
    result = await client.create_rescore_execution_plan()  # (2)
  1. client: KendraRankingClient
  2. result: CreateRescoreExecutionPlanResponseTypeDef

Explicit type annotations#

With types-aioboto3-lite[kendra-ranking] or a standalone types_aiobotocore_kendra_ranking package, you have to explicitly specify client: KendraRankingClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# KendraRankingClient usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_kendra_ranking.client import KendraRankingClient
from types_aiobotocore_kendra_ranking.type_defs import CreateRescoreExecutionPlanResponseTypeDef
from types_aiobotocore_kendra_ranking.type_defs import CreateRescoreExecutionPlanRequestRequestTypeDef


session = Session()

client: KendraRankingClient
async with session.client("kendra-ranking") as client:  # (1)
    kwargs: CreateRescoreExecutionPlanRequestRequestTypeDef = {...}  # (2)
    result: CreateRescoreExecutionPlanResponseTypeDef = await client.create_rescore_execution_plan(**kwargs)  # (3)
  1. client: KendraRankingClient
  2. kwargs: CreateRescoreExecutionPlanRequestRequestTypeDef
  3. result: CreateRescoreExecutionPlanResponseTypeDef