# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# SPDX-License-Identifier: MIT-0
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use, copy, modify,
# merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
# INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
# PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

import boto3
import os

ssm_client = boto3.client("ssm")

PROJECT_NAME = os.getenv("PROJECT_NAME", "")
PROJECT_ID = os.getenv("PROJECT_ID", "")
MODEL_PACKAGE_GROUP_NAME = os.getenv("MODEL_PACKAGE_GROUP_NAME", "")
MODEL_BUCKET_ARN = os.getenv("MODEL_BUCKET_ARN", "arn:aws:s3:::*mlops*")
ECR_REPO_ARN = os.getenv("ECR_REPO_ARN", None)

DEV_ACCOUNT = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/dev/account_id")["Parameter"]["Value"]
DEFAULT_DEPLOYMENT_REGION = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/dev/region")["Parameter"]["Value"]

PREPROD_ACCOUNT = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/preprod/account_id")["Parameter"]["Value"]
PREPROD_REGION = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/preprod/region")["Parameter"]["Value"]

PROD_ACCOUNT = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/prod/account_id")["Parameter"]["Value"]
PROD_REGION = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/prod/region")["Parameter"]["Value"]

SM_PIPELINE_DEFINITION_S3LOCATION = ssm_client.get_parameter(Name=f"/mlops/{PROJECT_NAME}/inferencepipeline")["Parameter"]["Value"]

# TODO: hardcoded values to retrieve from Data Lake, replace with dynamic ones
# Solution: post created values from Data Lake to SSM and retrive from here
# Currently each new deploy app will require developers to come and change the hardcoded values below
DATA_BUCKET = "YOUR_OUTPUT_DATA_BUCKET"
DATA_KMS_KEY = "YOUR_OUTPUT_DATA_BUCKET_KMS_ARN"