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attune/work-summary/status/PROGRESS.md
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Attune Project Progress

Last Updated: 2024

Project Overview

Attune is an event-driven automation and orchestration platform built in Rust, similar to StackStorm or Apache Airflow. The project supports workflow orchestration, human-in-the-loop interactions, RBAC, and multi-tenancy.

Overall Status: 🟢 Repository Layer Complete

  • Started: Initial project setup
  • Current Phase: Phase 1.3 - Database Testing
  • Next Milestone: API Service Implementation

Completed Phases

✅ Phase 0: Project Setup

Status: COMPLETE
Completed: Initial setup
Duration: 1 day

Accomplishments:

  • Cargo workspace structure with 6 crates
  • Common library (attune-common)
    • Configuration management
    • Error handling with typed errors
    • Database connection pooling
    • Data models (18 models matching Python reference)
    • Schema validation utilities
    • Common utilities (pagination, formatting, etc.)
  • Service crate scaffolding
    • attune-api - REST API gateway
    • attune-executor - Execution management
    • attune-worker - Action execution
    • attune-sensor - Event monitoring
    • attune-notifier - Real-time notifications
  • Documentation
    • README.md - Project overview
    • models.md - Complete data model documentation
    • WORKSPACE_SETUP.md - Development guide
    • TODO.md - Implementation roadmap
  • Development tooling
    • Makefile with common tasks
    • .env.example configuration template
    • .gitignore for Rust projects
  • ✅ Successful build of all crates

✅ Phase 1.1: Database Migrations

Status: COMPLETE
Completed: 2024
Duration: 1 session

Accomplishments:

  • Created migrations/ directory
  • 12 SQL migration files
    1. Schema and service role setup
    2. 11 enum types (status fields, categories)
    3. Pack table (automation bundles)
    4. Runtime and Worker tables
    5. Trigger and Sensor tables
    6. Action and Rule tables
    7. Event and Enforcement tables
    8. Execution and Inquiry tables
    9. Identity, Permissions, Policy tables
    10. Key table (secrets storage)
    11. Notification and Artifact tables
    12. 60+ performance indexes
  • Database objects created:
    • 18 tables (all core models)
    • 11 enum types
    • 100+ indexes (B-tree, GIN, composite)
    • 20+ triggers (timestamps, validation, notifications)
    • 5+ functions (validation, pg_notify)
  • Key features implemented:
    • Automatic timestamp management
    • Reference preservation for audit trails
    • Soft deletes with proper cascades
    • Comprehensive validation constraints
    • Performance-optimized indexes
    • Real-time notifications via pg_notify
    • JSONB support for flexible schemas
  • Documentation:
    • migrations/README.md - Complete migration guide
    • docs/phase-1-1-complete.md - Phase summary
  • Tooling:
    • scripts/setup-db.sh - Automated database setup

Artifacts:

  • 12 migration files
  • 1 setup script
  • 2 documentation files
  • 100+ database objects

✅ Phase 1.2: Database Repository Layer

Status: COMPLETE
Completed: 2024
Duration: 1 session

Accomplishments:

  • Created crates/common/src/repositories/ module structure
  • Implemented comprehensive repository trait system
    • Repository, FindById, FindByRef, List, Create, Update, Delete traits
    • Generic executor support (pools and transactions)
    • Pagination helper types
  • Implemented 12 repository modules with full CRUD:
    • Pack repository (~435 lines)
    • Action & Policy repositories (~610 lines)
    • Runtime & Worker repositories (~550 lines)
    • Trigger & Sensor repositories (~579 lines)
    • Rule repository (~310 lines)
    • Event & Enforcement repositories (~455 lines)
    • Execution repository (~160 lines)
    • Inquiry repository (~160 lines)
    • Identity, PermissionSet, PermissionAssignment repositories (~320 lines)
    • Key/Secret repository (~130 lines)
    • Notification repository (~130 lines)
  • Added transaction support via SQLx transaction types
  • Implemented dynamic query building for updates
  • Database-enforced uniqueness with error conversion
  • Search and filtering methods for each entity
  • ✅ All repositories build successfully with zero errors/warnings

Key Features:

  • Trait-based design for modularity
  • Generic executor pattern (works with pools and transactions)
  • Dynamic UPDATE queries (only updates provided fields)
  • Automatic unique constraint handling
  • Type-safe queries with SQLx
  • Comprehensive error handling

Artifacts:

  • 12 repository modules (~4,135 lines of code)
  • Repository framework (296 lines)
  • Implementation summary documentation

Tests: Deferred to Phase 1.3 (integration tests preferred)

Current Phase

🔄 Phase 1.3: Database Testing

Status: PLANNED
Started: Not yet
Target Completion: 1 week

Tasks:

  • Set up test database environment
  • Write integration tests for repositories
  • Test CRUD operations for each repository
  • Test transaction boundaries
  • Test error handling scenarios
  • Test concurrent operations

Blockers: None

Upcoming Phases

Phase 2: API Service

Status: NEXT
Priority: HIGH
Estimated Duration: 4-5 weeks

Key Deliverables:

  • REST API with authentication
  • CRUD endpoints for all models using repositories
  • WebSocket support for notifications
  • OpenAPI/Swagger documentation
  • Health check endpoints

Phase 3: Message Queue Infrastructure

Status: PLANNED
Priority: HIGH
Estimated Duration: 1-2 weeks

Key Deliverables:

  • RabbitMQ setup
  • Message types and schemas
  • Publisher/consumer infrastructure

Phase 4: Executor Service

Status: PLANNED
Priority: HIGH
Estimated Duration: 3-4 weeks

Key Deliverables:

  • Enforcement processing
  • Execution scheduling
  • Policy enforcement
  • Workflow management

Phase 5: Worker Service

Status: PLANNED
Priority: HIGH
Estimated Duration: 4-5 weeks

Key Deliverables:

  • Local runtime execution
  • Container runtime execution
  • Secret management
  • Artifact handling

Metrics

Code Statistics

  • Total Crates: 6 (1 library + 5 services)
  • Lines of Code: ~9,500 (Rust)
    • Common library: ~4,500 lines
    • Repository layer: ~4,100 lines
    • Services: ~900 lines (scaffolding)
  • Migration Lines: ~1,500 (SQL)
  • Database Tables: 18
  • Database Indexes: 100+
  • Repository Modules: 12
  • Test Coverage: TBD (pending Phase 1.3)

Progress by Phase

Phase Status Progress Duration
Phase 0: Setup ✅ Complete 100% 1 session
Phase 1.1: Migrations ✅ Complete 100% 1 session
Phase 1.2: Repositories ✅ Complete 100% 1 session
Phase 1.3: Testing 🔄 Next 0% TBD
Phase 2: API Service ⏳ Planned 0% 4-5 weeks
Phase 3: Message Queue ⏳ Planned 0% 1-2 weeks
Phase 4: Executor ⏳ Planned 0% 3-4 weeks
Phase 5: Worker ⏳ Planned 0% 4-5 weeks
Phase 6: Sensor ⏳ Planned 0% 3-4 weeks
Phase 7: Notifier ⏳ Planned 0% 2-3 weeks
Phase 8: Advanced Features ⏳ Planned 0% 4-6 weeks
Phase 9: Production Ready ⏳ Planned 0% 3-4 weeks
Phase 10: Example Packs ⏳ Planned 0% 2-3 weeks

Overall Progress: ~20% (Database layer complete)

Recent Achievements

Latest Session

  • ✅ Set up complete Cargo workspace
  • ✅ Implemented common library with all models
  • ✅ Created all 12 database migrations
  • ✅ Created database setup automation
  • ✅ Implemented complete repository layer (12 modules, ~4,100 lines)
  • ✅ All repositories build successfully with zero errors
  • ✅ Comprehensive documentation

Next Goals

  • 🎯 Set up test database environment
  • 🎯 Write integration tests for repositories
  • 🎯 Begin API service implementation

Key Decisions

Technology Choices

  • Language: Rust (performance, safety, async)
  • Database: PostgreSQL 14+ (JSONB, arrays, triggers)
  • Web Framework: Axum (ergonomic, fast)
  • Database Client: SQLx (compile-time checked queries)
  • Message Queue: RabbitMQ via Lapin
  • Cache: Redis (optional)

Architecture Decisions

  • Microservices architecture with specialized services
  • Event-driven communication via message queue
  • JSONB for flexible schemas
  • Soft deletes with reference preservation
  • Real-time notifications via PostgreSQL LISTEN/NOTIFY

Resources

Documentation

Scripts

  • scripts/setup-db.sh - Database setup automation
  • Makefile - Common development tasks

Configuration

  • .env.example - Configuration template
  • Cargo.toml - Workspace dependencies

How to Get Started

  1. Clone and Setup:

    git clone <repo>
cd attune
cp .env.example .env
# Edit .env with your settings

  2. Setup Database:

    ./scripts/setup-db.sh

  3. Build Project:

    cargo build

  4. Run Tests:

    cargo test

  5. Start Services (when implemented):

    cargo run --bin attune-api

Contact & Contributing

This is an active development project. Current focus is on implementing the repository layer.

Development Principles:

  • Test-driven development
  • Incremental delivery
  • Documentation as code
  • Security by design
  • Performance optimization

Legend

  • ✅ Complete
  • 🔄 In Progress
  • ⏳ Planned/Pending
  • 🎯 Current Goal
  • 🟢 On Track
  • 🟡 At Risk
  • 🔴 Blocked
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