dev.tfvars

tags = {
  Environment = "dev"
  Terraform   = "true"
}

project_account_id = "528719223857"
region             = "eu-west-1"

# S4D-VPC
vpc_id = "vpc-01ea24b6d41f5ce15"

# S4D-Private Subnet 1..4
private_subnet_id_list = ["subnet-0f493fb71d0451465", "subnet-0a439d4125ded0251", "subnet-01b331ad4a1739d19", "subnet-05cf85cbb20f4ae22"]

# Terraform
terraform_s3_bucket_name      = "d-ew1-ted-ai-terraform"
terraform_dynamodb_table_name = "d-ew1-ted-ai-terraform-locks"

# TED AI project
s3_input_bucket_name     = "d-ew1-ted-ai-input"
s3_data_bucket_name      = "d-ew1-ted-ai-experiments-data"
s3_ml_data_bucket_name   = "d-ew1-ted-ai-ml-data"
s3_ml_models_bucket_name = "d-ew1-ted-ai-ml-models"

ingestion_checkpoint_table = "d-ew1-ted-ai-ingestion-checkpoint"
ingestion_tasks_table      = "d-ew1-ted-ai-ingestion-tasks"
ingestion_references_table = "d-ew1-ted-ai-ingestion-references"

ingestion_tasks_queue_name = "d-ew1-ted-ai-ingestion-tasks-queue"

sagemaker_classifiers_repository_name = "sagemaker-classifiers"

# SSM path
ssm_ingestion_checkpoint_id = "/dynamodb/ingestion_checkpoint/id"
ssm_ingestion_tasks_id      = "/dynamodb/ingestion_tasks/id"
ssm_ingestion_references_id = "/dynamodb/ingestion_references/id"
ssm_buckets_input_id        = "/s3/input_bucket/id"
ssm_buckets_ml_data_id      = "/s3/ml_data_bucket/id"
ssm_ingestion_tasks_queue   = "/sqs/ingestion_tasks_queue/url"

# Glue
glue_database_name = "ted-ai"

# IAM
iam_role_prefix   = "D_EW1_TED_AI"
iam_policy_prefix = "D_EW1_TED_AI"