Add terraform deployment script for import automation

[vish-cs]

Terraform deployment for Data Commons Import Automation Workflow
This file sets up:

• Necessary GCP APIs
• Secret Manager for the import_config secret
• GCS Buckets for imports, mounting, and Dataflow templates
• Spanner Instance and Database with schema
• Artifact Registry for hosting Docker images (Flex Template & Executor)
• Pub/Sub Topic and Subscription for triggering imports
• Cloud Build Triggers for CI/CD of Executor, Functions, Workflows, and Ingestion Pipeline
• Unified Service Account with necessary IAM roles for Workflows, Functions, and Pub/Sub

[gemini-code-assist]

Summary of Changes

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This pull request introduces a comprehensive Terraform deployment script to automate the data import process within Data Commons. It establishes the foundational GCP infrastructure, including database, storage, messaging, and serverless compute components, along with orchestration workflows, to enable a robust and scalable import pipeline. The primary goal is to streamline and automate the ingestion, aggregation, and handling of data feeds.

Highlights

• Infrastructure as Code: Introduced a new Terraform script (main.tf) to fully deploy the Data Commons Import Automation workflow on Google Cloud Platform.
• GCP Service Provisioning: Configured and enabled essential GCP services including Artifact Registry, Batch, Cloud Build, Cloud Functions, Cloud Scheduler, Compute Engine, Dataflow, IAM, Pub/Sub, Cloud Run, Spanner, Cloud Storage, and Cloud Workflows.
• Data Storage and Database: Provisioned a GCS bucket for imports and a Spanner instance and database, including schema initialization and an ingestion lock.
• Serverless Compute and Messaging: Deployed three Python-based Cloud Functions (Gen2) for Spanner ingestion, BigQuery aggregation, and Pub/Sub event handling. A Pub/Sub topic and subscription were set up to trigger imports upon GCS transfer completion.
• Workflow Orchestration: Created two Cloud Workflows: one to orchestrate import executor Batch jobs and another for Spanner ingestion Dataflow jobs, both utilizing a dedicated service account.
• IAM Configuration: Established a unified service account (import-automation-sa) and assigned it a comprehensive set of IAM roles necessary for the deployed Workflows, Functions, Pub/Sub, Spanner, BigQuery, and other related services.

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[gemini-code-assist]

Code Review

The pull request introduces a comprehensive Terraform deployment script for the Data Commons Import Automation Workflow. The script effectively sets up various GCP services including APIs, GCS buckets, Spanner, Pub/Sub, Cloud Functions, and Cloud Workflows, along with a unified service account. The overall structure and resource definitions are well-organized and follow good practices for infrastructure as code. However, there are a couple of areas related to security and data protection that warrant attention, specifically regarding Spanner database deletion protection and the granularity of IAM roles assigned to the service account.