使用 AWS SDK 從一致性套件建立 Audit Manager AWS Config 自訂架構

以下程式碼範例顯示做法：

• 取得 AWS Config 一致性套件的清單。

• 為一致性套件中的每個受管規則建立 Audit Manager 自訂控制項。

• 建立包含控制項的 Audit Manager 自訂架構。

Python

SDK for Python (Boto3)

注意

GitHub 上提供更多範例。尋找完整範例，並了解如何在 AWS 程式碼範例儲存庫中設定和執行。

import logging
import boto3
from botocore.exceptions import ClientError

logger = logging.getLogger(__name__)


class ConformancePack:
    def __init__(self, config_client, auditmanager_client):
        self.config_client = config_client
        self.auditmanager_client = auditmanager_client

    def get_conformance_pack(self):
        """
        Return a selected conformance pack from the list of conformance packs.

        :return: selected conformance pack
        """
        try:
            conformance_packs = self.config_client.describe_conformance_packs()
            print(
                "Number of conformance packs fetched: ",
                len(conformance_packs.get("ConformancePackDetails")),
            )
            print("Fetched the following conformance packs: ")
            all_cpack_names = {
                cp["ConformancePackName"]
                for cp in conformance_packs.get("ConformancePackDetails")
            }
            for pack in all_cpack_names:
                print(f"\t{pack}")
            cpack_name = input(
                "Provide ConformancePackName that you want to create a custom "
                "framework for: "
            )
            if cpack_name not in all_cpack_names:
                print(f"{cpack_name} is not in the list of conformance packs!")
                print(
                    "Provide a conformance pack name from the available list of "
                    "conformance packs."
                )
                raise Exception("Invalid conformance pack")
            print("-" * 88)
        except ClientError:
            logger.exception("Couldn't select conformance pack.")
            raise
        else:
            return cpack_name

    def create_custom_controls(self, cpack_name):
        """
        Create custom controls for all managed AWS Config rules in a conformance pack.

        :param cpack_name: The name of the conformance pack to create controls for.
        :return: The list of custom control IDs.
        """
        try:
            rules_in_pack = self.config_client.describe_conformance_pack_compliance(
                ConformancePackName=cpack_name
            )
            print(
                "Number of rules in the conformance pack: ",
                len(rules_in_pack.get("ConformancePackRuleComplianceList")),
            )
            for rule in rules_in_pack.get("ConformancePackRuleComplianceList"):
                print(f"\t{rule.get('ConfigRuleName')}")
            print("-" * 88)
            print(
                "Creating a custom control for each rule and a custom framework "
                "consisting of these rules in Audit Manager."
            )
            am_controls = []
            for rule in rules_in_pack.get("ConformancePackRuleComplianceList"):
                config_rule = self.config_client.describe_config_rules(
                    ConfigRuleNames=[rule.get("ConfigRuleName")]
                )
                source_id = (
                    config_rule.get("ConfigRules")[0]
                    .get("Source", {})
                    .get("SourceIdentifier")
                )
                custom_control = self.auditmanager_client.create_control(
                    name="Config-" + rule.get("ConfigRuleName"),
                    controlMappingSources=[
                        {
                            "sourceName": "ConfigRule",
                            "sourceSetUpOption": "System_Controls_Mapping",
                            "sourceType": "AWS_Config",
                            "sourceKeyword": {
                                "keywordInputType": "SELECT_FROM_LIST",
                                "keywordValue": source_id,
                            },
                        }
                    ],
                ).get("control", {})
                am_controls.append({"id": custom_control.get("id")})
            print("Successfully created a control for each config rule.")
            print("-" * 88)
        except ClientError:
            logger.exception("Failed to create custom controls.")
            raise
        else:
            return am_controls

    def create_custom_framework(self, cpack_name, am_control_ids):
        """
        Create a custom Audit Manager framework from a selected AWS Config conformance
        pack.

        :param cpack_name: The name of the conformance pack to create a framework from.
        :param am_control_ids: The IDs of the custom controls created from the
                               conformance pack.
        """
        try:
            print("Creating custom framework...")
            custom_framework = self.auditmanager_client.create_assessment_framework(
                name="Config-Conformance-pack-" + cpack_name,
                controlSets=[{"name": cpack_name, "controls": am_control_ids}],
            )
            print(
                f"Successfully created the custom framework: ",
                f"{custom_framework.get('framework').get('name')}: ",
                f"{custom_framework.get('framework').get('id')}",
            )
            print("-" * 88)
        except ClientError:
            logger.exception("Failed to create custom framework.")
            raise


def run_demo():
    print("-" * 88)
    print("Welcome to the AWS Audit Manager custom framework demo!")
    print("-" * 88)
    print(
        "You can use this sample to select a conformance pack from AWS Config and "
        "use AWS Audit Manager to create a custom control for all the managed "
        "rules under the conformance pack. A custom framework is also created "
        "with these controls."
    )
    print("-" * 88)
    conf_pack = ConformancePack(boto3.client("config"), boto3.client("auditmanager"))
    cpack_name = conf_pack.get_conformance_pack()
    am_controls = conf_pack.create_custom_controls(cpack_name)
    conf_pack.create_custom_framework(cpack_name, am_controls)


if __name__ == "__main__":
    run_demo()

• 如需 API 的詳細資訊，請參閱《適用於 Python (Boto3) 的AWS SDK API 參考資料》中的下列主題。

  • CreateAssessmentFramework

  • CreateControl