如何使用Cloudformation，在不同环境中进行Chalice部署？

【以下的问题经过翻译处理】 在使用AWS Pipelines构建的Chalice Lambda中，我应该如何（最好地）为每个我们的AWS Organizations账户（dev vs qa vs prod）配置和部署不同的系统环境变量？

例如：我需要运行chalice package --stage 3次并创建3个不同的构件吗（有些低效）？

buildspec.yaml

version: 0.2
phases:
  install:
    runtime-versions:
      python: 3.8
    commands:
      - pip3 install --upgrade pip
      - pip3 install --upgrade awscli
      - aws --version
      - pip3 install chalice
      - pip3 install -r requirements.txt
      - chalice package /tmp/packaged
      - aws cloudformation package --template-file /tmp/packaged/sam.json --s3-bucket ${APP_S3_BUCKET} --output-template-file transformed.yaml
artifacts:
  type: zip
  files:
    - transformed.yaml

config.json: { "version": "2.0", "app_name": "budderfly-ke2portal", "iam_policy_file": "policy.json", "autogen_policy": false, "stages": { "dev": { "api_gateway_stage": "api", "IOT_DATA_ENDPOINT": "https://dev-ats.iot.us-west-2.amazonaws.com" }, "qa": { "api_gateway_stage": "api", "IOT_DATA_ENDPOINT": "https://qa-ats.iot.us-west-2.amazonaws.com" }, "prod": { "api_gateway_stage": "api", "IOT_DATA_ENDPOINT": "https://prod-ats.iot.us-west-2.amazonaws.com" } } }