Type Annotations for boto3 ServiceDiscovery

Warnings

• breaking Support for Python 3.8 has been officially removed starting with `mypy-boto3-builder 8.12.0` (which generated this package version). Users on Python 3.8 will encounter compatibility issues.
  Fix: Upgrade your Python environment to 3.9 or newer.
• breaking Type definition (TypeDef) naming conventions were changed in `mypy-boto3-builder 8.9.0`. Shorter names are now preferred, and 'Extra' postfixes are moved. For example, `CreateDistributionRequestRequestTypeDef` became `CreateDistributionRequestTypeDef`. If your code explicitly references these generated TypeDefs, it will break.
  Fix: Review and update your explicit TypeDef references according to the new naming conventions, or rely on implicit type inference where possible.
• breaking The entire `mypy-boto3-builder` ecosystem migrated to PEP 561 compliant packages in `8.12.0`. While this improves type checker discovery, it might affect custom build or package management setups that relied on older distribution methods.
  Fix: Ensure your environment uses standard `pip install` or compatible tools. If encountering issues, refer to the `boto3-stubs` documentation for detailed installation and usage instructions.
• gotcha For Pylint compatibility when using the `TYPE_CHECKING` flag to conditionally import types, Pylint might complain about undefined variables. A common workaround is to set types to `object` in the `else` branch.
  Fix: Implement the `if TYPE_CHECKING:` block with an `else` branch that assigns `object` to the type symbols to avoid Pylint errors. Example: `if TYPE_CHECKING: from mypy_boto3_ec2 import EC2Client else: EC2Client = object`.
• gotcha Although `boto3-stubs` offers implicit type discovery, explicit type annotations for `boto3.client(...)` and `session.client(...)` calls (e.g., `client: ServiceDiscoveryClient = session.client("servicediscovery")`) are highly recommended for optimal IDE auto-completion and robust static analysis.
  Fix: Add explicit type annotations for client and resource objects when instantiating them from `boto3` or a `Session`.

Install

• pip install mypy-boto3-servicediscovery Install specific service annotations
• pip install 'boto3-stubs[servicediscovery]' Install via consolidated boto3-stubs package

Imports

• ServiceDiscoveryClient

  from mypy_boto3_servicediscovery import ServiceDiscoveryClient

• ListNamespacesPaginator

  from mypy_boto3_servicediscovery.paginator import ListNamespacesPaginator

  Paginator types reside in the '.paginator' submodule.
• TagTypeDef

  from mypy_boto3_servicediscovery.type_defs import TagTypeDef

  Type definitions (TypedDicts) are located in the '.type_defs' submodule.

Quickstart

This quickstart demonstrates how to use `mypy-boto3-servicediscovery` to obtain a type-hinted ServiceDiscovery client from `boto3.client`. It then calls `list_namespaces` and leverages the provided type definitions for the response, enhancing code completion and static analysis.

import boto3
from mypy_boto3_servicediscovery import ServiceDiscoveryClient
from mypy_boto3_servicediscovery.type_defs import ListNamespacesResponseTypeDef

def get_servicediscovery_namespaces() -> list[str]:
    # Explicit type annotation for better IDE support and type checking
    client: ServiceDiscoveryClient = boto3.client("servicediscovery")

    # The response object is also type-hinted
    response: ListNamespacesResponseTypeDef = client.list_namespaces()
    
    namespace_names = [ns['Name'] for ns in response.get('Namespaces', []) if 'Name' in ns]
    return namespace_names

if __name__ == "__main__":
    # This code requires AWS credentials to be configured (e.g., via AWS CLI, env vars)
    # If no namespaces exist, it will return an empty list.
    try:
        namespaces = get_servicediscovery_namespaces()
        print(f"ServiceDiscovery Namespaces: {namespaces}")
    except Exception as e:
        print(f"An error occurred: {e}")