Add Terraform

.gitignore

@@ -134,3 +134,10 @@ dmypy.json
 
 # Troy
 scratch.py
+
+# Terraform
+.terraform
+.terraform.lock.hcl
+
+# Temp files
+*+

terraform_broker/main.tf

@@ -0,0 +1,4 @@
+module "lsst" {
+  source = "./modules/lsst"
+}
+

terraform_broker/modules/lsst/README.md

@@ -0,0 +1,3 @@
+# LSST broker and storage
+
+The `lsst` module defines the LSST portion of the Pitt-Google Broker.

terraform_broker/modules/lsst/bigquery.tf

@@ -0,0 +1,45 @@
+resource "google_bigquery_dataset" "dataset" {
+  dataset_id = "lsst${local.underscored_test_suffix}"
+  description = "Dataset for storing LSST tables"
+  location = var.region
+
+  labels = {
+    env = var.prod ? "prod" : "test"
+    test_suffix = var.prod ? "" : var.test_suffix
+  }
+}
+
+resource "google_bigquery_table" "alerts_table" {
+  dataset_id = google_bigquery_dataset.dataset.dataset_id
+  table_id = join("_", ["alerts", replace(var.alerts_schema_version, ".", "_")])
+  description = "Alert data from LSST. This table is an archive of the lsst-alerts Pub/Sub stream. It has the same schema as the original alert bytes, including nested and repeated fields."
+
+  schema = file("${path.module}/bq_schemas/alerts_table.json")
+
+  labels = {
+    versiontag = var.alerts_schema_version
+  }
+}
+
+resource "google_bigquery_table" "supernnova_table" {
+  dataset_id = google_bigquery_dataset.dataset.dataset_id
+  table_id = "supernnova"
+  description = "Binary classification results from SuperNNova."
+
+  schema = file("${path.module}/bq_schemas/supernnova_table.json")
+}
+
+resource "google_bigquery_table" "variability_table" {
+  dataset_id = google_bigquery_dataset.dataset.dataset_id
+  table_id = "variability"
+
+  schema = file("${path.module}/bq_schemas/variability_table.json")
+}
+
+resource "google_bigquery_table" "upsilon_table" {
+  dataset_id = google_bigquery_dataset.dataset.dataset_id
+  table_id = "upsilon"
+
+  schema = file("${path.module}/bq_schemas/upsilon_table.json")
+}
+