"""An AWS Python Pulumi program"""

import pulumi
import pulumi_aws as aws
from pulumi_aws import s3
import json
caller_identity = aws.get_caller_identity()
account_id = caller_identity.account_id

config = pulumi.Config()
project = config.require("project")
environment = config.require("environment")

ecr_config = config.require_object("ecr")["entity_extraction"]

ecr_repo = aws.ecr.Repository(ecr_config['name'],
    name=ecr_config['name'],
    encryption_configurations=[{
        "encryption_type": "AES256",
    }],
    image_scanning_configuration={
        "scan_on_push": False,
    },
    image_tag_mutability=ecr_config['image_mutability'],
    opts = pulumi.ResourceOptions(protect=True))


pulumi.export("url", pulumi.Output.concat("ECR REPO ID:", ecr_repo.id))

# Create an AWS resource (S3 Bucket)
"""bucket = s3.Bucket('br-edu-ifsp-ifsp-ret-s3-bucket-chatbot-editais-d',
                   tags={
                       "nome":"bucket-chatbot-editais",
                       "ambiente":"dev",
                       "projeto":"chatbot-editais",
                       "responsavel":"dti.prd@ifsp.edu.br",
                       "criticidade":"baixa",
                       "data-de-criacao":"03-09-2025",
                       "backup":"nunca",
                       "servico":"sistemas",
                       "prospeccao":"sim",
                       "poc":"sim",
                       "ia":"sim",
                       "modelo":"claude-sonnet-4"
                   })


# Export the name of the bucket
pulumi.export('bucket_name', bucket.id)"""