"""An AWS Python Pulumi program"""

import pulumi
from pulumi_aws import aws
from pulumi_aws import s3
import pulumi_aws_apigateway as apigateway
import json
role = aws.iam.Role("mylambda-role",
    assume_role_policy=json.dumps({
        "Version": "2012-10-17",
        "Statement": [{
            "Effect": "Allow",
            "Principal": { "Service": "lambda.amazonaws.com" },
            "Action": "sts:AssumeRole"
        }]
    })
)
# 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"
                   })
f = aws.lambda_.Function("mylambda",
    runtime=aws.lambda_.Runtime.PYTHON3D8,
    code=pulumi.AssetArchive({
        ".": pulumi.FileArchive("./handler"),
    }),
    timeout=300,
    handler="handler.handler",
    role=role.arn,
    opts=pulumi.ResourceOptions(depends_on=[policy]),
)

api = apigateway.RestAPI('api', routes=[
    apigateway.RouteArgs(path="/", method="GET", event_handler=f),
])

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