mypy-boto3-compute-optimizer

1.42.3 · active · verified Sat Apr 11

mypy-boto3-compute-optimizer provides type annotations for the boto3 AWS SDK, specifically for the Compute Optimizer service. It ensures static type checking for your boto3 calls related to Compute Optimizer, improving code reliability and developer experience. The current version is 1.42.3, and it's part of the frequently updated mypy-boto3-builder ecosystem, with new versions often released alongside boto3 updates or builder improvements.

Warnings

breaking Support for Python 3.8 has been removed in mypy-boto3-builder version 8.12.0 and subsequent stub packages. Your project must use Python 3.9 or newer.
Fix: Upgrade your Python environment to 3.9 or higher. For projects requiring older Python versions, use an older version of mypy-boto3-compute-optimizer (e.g., <1.42.0) if available, but this is not recommended due to lack of updates.
breaking TypeDef naming conventions changed in mypy-boto3-builder 8.9.0. This might affect explicit imports of TypeDefs (e.g., `CreateDistributionRequestRequestTypeDef` became `CreateDistributionRequestTypeDef`).
Fix: If you directly import `TypeDef` classes and encounter `ModuleNotFoundError` or `AttributeError`, check the `mypy-boto3` documentation or generated stubs for the updated naming pattern, which typically involves shorter names or `Extra` postfix moved to the end.
gotcha This package provides type stubs only. You must also install the `boto3` library for your code to run at runtime. Without `boto3`, your application will fail with import errors.
Fix: Always install `boto3` alongside `mypy-boto3-compute-optimizer` (e.g., `pip install boto3 mypy-boto3-compute-optimizer`).
gotcha This is a service-specific stub package for AWS Compute Optimizer. If you need type annotations for other AWS services (e.g., S3, EC2), you must install their respective `mypy-boto3-<service-name>` packages.
Fix: Install the specific `mypy-boto3-<service-name>` package for each AWS service you are using in your project.

Install

pip install mypy-boto3-compute-optimizer boto3 Install with boto3

Imports

ComputeOptimizerClient
```
from mypy_boto3_compute_optimizer import ComputeOptimizerClient
```
Import the typed client for Compute Optimizer to annotate boto3.client('compute-optimizer').
DescribeRecommendationSummariesResponseTypeDef
```
from mypy_boto3_compute_optimizer.type_defs import DescribeRecommendationSummariesResponseTypeDef
```
Import specific TypeDefs for precise response or request body annotations.
Client
```
import boto3
from mypy_boto3_compute_optimizer import Client as ComputeOptimizerClientType
```
While importing Client directly from the 'client' submodule works, the top-level import is generally preferred and more robust against internal structure changes.

Quickstart

This quickstart demonstrates how to initialize a `boto3` client for Compute Optimizer and use the provided type hints for both the client itself and its method responses. This enables static analysis tools like Mypy to catch potential errors at development time.

import boto3
from mypy_boto3_compute_optimizer import ComputeOptimizerClient
from mypy_boto3_compute_optimizer.type_defs import ListRecommendationSummariesResponseTypeDef

# Ensure boto3 is installed: pip install boto3 mypy-boto3-compute-optimizer

def get_compute_optimizer_summary():
    # The type hint 'ComputeOptimizerClient' provides static analysis for client methods.
    client: ComputeOptimizerClient = boto3.client("compute-optimizer")

    # The type hint 'ListRecommendationSummariesResponseTypeDef' helps with response structure.
    response: ListRecommendationSummariesResponseTypeDef = client.list_recommendation_summaries()

    print("Account Recommendation Summaries:")
    for summary in response.get("RecommendationSummaries", []):
        print(f"  Account ID: {summary.get('AccountId')}, ")
        print(f"  Recommendation Count: {summary.get('RecommendationCount')}")

if __name__ == "__main__":
    get_compute_optimizer_summary()

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