01.09.CRS Features

01.09. CRS Features

This document outlines the core features and functionalities of the bnc-cpt-crs (Cross-Repo/Shell) project.

Action Framework: A comprehensive collection of 100+ bash functions (shell actions) for automating complex workflows.
Searchable Help: Integrated do_help_with action for discovering available commands by keyword.
Unified Entrypoint: Single ./run script for executing all project-wide operations.

Project Lifecycle: Automated creation and removal of GCP projects.
IAM & Access: Management of organization admin users, service accounts, and permissions.
Service Provisioning: Enabling GCP APIs, managing Secret Manager secrets, and configuring GCS buckets.
Compute & Serverless: Deployment of Cloud Functions and triggering of Cloud Build processes.
Database Ops: Listing CloudSQL instances and importing data from GCS.
DNS Management: Exporting and managing DNS records.

Template Cloning: do_morph_project and do_morph_module for cloning projects/modules with automated search-and-replace of naming conventions (ORG/APP).
Automated Refactoring: Path-based morphing to rebrand or rename components across a codebase.

Bulk Git Management: Commands to pull or push all application-specific repositories in one go.
Change Replication: Synchronizing files, directories, or git changes from a source project to a target.
Remote Synchronization: Deploying API, WUI, or the full project to remote hosts via SSH/RSYNC.
Environment Deployment: Full application deployment to dev, tst, or prd environments.

Cloud/Local Sync: Bidirectional synchronization between local filesystems and Google Cloud Storage (GCS).
Cross-Bucket Sync: Efficient transfer of data between different GCS buckets.

KeePass Integration: Securely reading values and listing secrets from KeePassXC (.kdbx) databases.
Secret Export: Exporting Secret Manager secrets directly to .env files for application use.
SSH Management: Automated generation of SSH key pairs.

Workspace Automation: Opening all related projects in a pre-configured tmux session.
AI Context Preparation: do_cat_files_for_ai for concatenating codebase files into a single format for AI analysis.
Document Conversion: Utilities for converting Markdown files to PDF.