added terraform code

cloud_function/main.py

@@ -1,4 +1,5 @@
-from cloud_function import repository, services
+import repository
+import services
 
 
 def func_entry_point(event, context):

cloud_function/repository.py

@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from google.cloud import bigquery
-from cloud_function import model
+import model
 
 
 class AbstractRepository(ABC):

cloud_function/services.py

@@ -1,5 +1,5 @@
-from cloud_function.repository import AbstractRepository
-from cloud_function import model
+from repository import AbstractRepository
+import model
 
 
 def irr_pipeline(repository: AbstractRepository):

main.tf

@@ -0,0 +1,73 @@
+provider "google" {
+  project = var.project_id
+  region  = var.region
+}
+
+resource "google_service_account" "default" {
+  account_id = var.service_account_name
+  display_name = "IRR Calculator Cloud Function SA"
+}
+
+resource "google_project_iam_member" "big_query_writer" {
+  project = var.project_id
+  role    = "roles/bigquery.dataEditor"
+  member  = "serviceAccount:${google_service_account.default.email}"
+}
+
+resource "google_project_iam_member" "big_query_jobUser" {
+  project = var.project_id
+  role    = "roles/bigquery.jobUser"
+  member  = "serviceAccount:${google_service_account.default.email}"
+}
+
+resource "google_storage_bucket" "source_code" {
+  name                        = "irr-calculator-source-code-location"
+  storage_class               = "STANDARD"
+  location                    = var.region
+  uniform_bucket_level_access = true
+}
+
+data "archive_file" "source" {
+  type        = "zip"
+  source_dir  = "${path.root}/cloud_function"
+  output_path = "${path.root}/zip_to_cloud_function.zip"
+}
+
+resource "google_storage_bucket_object" "zip" {
+  name   = "cloud-function-source-code-for-${var.cloud_function_name}.zip"
+  bucket = google_storage_bucket.source_code.name
+  source = data.archive_file.source.output_path
+}
+
+resource "google_pubsub_topic" "default" {
+  name = "cloud-function-${var.cloud_function_name}"
+}
+
+resource "google_cloud_scheduler_job" "default" {
+  name = "cloud-function-${var.cloud_function_name}"
+  description = "Scheduler to trigger the cloud function: ${var.cloud_function_name}"
+  schedule = "30 0 * * *"
+
+  pubsub_target {
+    topic_name = google_pubsub_topic.default.id
+    data = base64encode("Trigger Cloud Function")
+  }
+}
+
+resource "google_cloudfunctions_function" "irr_calculator" {
+  name                  = var.cloud_function_name
+
+  runtime               = "python310"
+  available_memory_mb   = 512
+  timeout               = 539
+  source_archive_bucket = google_storage_bucket.source_code.name
+  source_archive_object = google_storage_bucket_object.zip.name
+  entry_point           = var.function_entry_point
+  service_account_email = google_service_account.default.email
+  max_instances         = 1
+
+  event_trigger {
+    event_type = "google.pubsub.topic.publish"
+    resource   = google_pubsub_topic.default.name
+  }
+}

tests/__init__.py

@@ -1,5 +1,6 @@
 import os
 from dotenv import load_dotenv
+import sys
 
 
 def env_var_loader(file_name, file_path=None):
@@ -21,3 +22,5 @@ def env_var_loader(file_name, file_path=None):
 
 
 env_var_loader("tests/.env")
+
+sys.path.append(os.path.join(os.getcwd(), 'cloud_function'))

variables.tf

@@ -0,0 +1,27 @@
+variable "project_id" {
+  type        = string
+  description = "Name of the Google Project"
+}
+
+variable "region" {
+  type        = string
+  default     = "europe-west2"
+  description = "Location for the resources"
+}
+
+variable "cloud_function_name" {
+  type        = string
+  description = "Name of the ECB Api Caller Cloud Function"
+}
+
+variable "function_entry_point" {
+  type        = string
+  default     = "func_entry_point"
+  description = "Name of the function entry point for the Python solution at main.py"
+}
+
+
+variable "service_account_name" {
+  type        = string
+  description = "Name of the Service Account"
+}