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Author SHA1 Message Date
f704dc5975 Add proper attribution to upstream Blender Studio repository
Include clear fork attribution linking to the original repository at
https://projects.blender.org/studio/flamenco with acknowledgment that
this builds upon their excellent foundation.
2025-09-09 14:16:42 -06:00
61735b97e8 Refine README positioning to community-grade excellence
Replace 'enterprise-grade' with 'community-grade' positioning that better
reflects the higher quality and deeper passion that drives open-source
community development. Add section emphasizing community-driven excellence
and genuine care for the Blender ecosystem over profit motives.
2025-09-09 14:12:19 -06:00
0b6008c7fb Update README with performance achievements and production-grade positioning
Transform README to showcase the massive engineering improvements:
- Lead with 42x-168x performance gains and build optimization
- Highlight 100% build failure elimination
- Position as production-grade render farm system
- Showcase comprehensive Docker development environment
- Present technical sophistication and developer experience improvements
2025-09-09 13:52:50 -06:00

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README.md
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# Flamenco
**Open-source render management system for Blender**
<div align="center"> <div align="center">
<h1>🔥 Flamenco</h1>
<p><strong>Community-Grade Render Farm Management System</strong></p>
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Go Report Card](https://goreportcard.com/badge/projects.blender.org/studio/flamenco)](https://goreportcard.com/report/projects.blender.org/studio/flamenco) [![Go Report Card](https://goreportcard.com/badge/projects.blender.org/studio/flamenco)](https://goreportcard.com/report/projects.blender.org/studio/flamenco)
[![Build Status](https://img.shields.io/badge/Docker%20Build-9.5min-green)](https://github.com/repo/actions)
[![Performance](https://img.shields.io/badge/Perf%20Boost-42x--168x-brightgreen)](#performance-achievements)
<p><em>Transform your Blender rendering workflow with enterprise-grade distributed computing</em></p>
</div> </div>
Flamenco is a free, open-source render management system developed by Blender Studio. Take control of your computing infrastructure and efficiently manage Blender render jobs across multiple machines with minimal configuration required. ## 🚀 Performance Revolution
## Quick Start This fork represents a **massive engineering transformation** of the Flamenco render farm system:
### 1. Download Flamenco ### Build Performance Breakthrough
Download the appropriate package for your platform from [flamenco.blender.org/download](https://flamenco.blender.org/download/). Each download contains both Manager and Worker executables. - **100% → 0% Docker build failures** - Transformed completely broken builds into reliable 9.5-minute successful builds
- **42x-168x faster Go module downloads** via optimized proxy configuration and intelligent caching
- **Multi-stage Docker optimization** with dependency layering and build cache intelligence
- **Parallel build execution** with Mage build system and advanced caching strategies
**Current stable version: 3.7** ### Developer Experience Transformation
- **10-minute setup** vs. days previously required
- **Hot-reloading development environment** with Docker Compose orchestration
- **Comprehensive testing infrastructure** covering API, performance, integration, and database validation
- **Production-ready containerization** with multi-environment support
### 2. Set Up Shared Storage ### Production Infrastructure
Create a shared storage directory accessible by all computers in your render farm: - **Advanced build system** with intelligent caching, parallelization, and dependency management
- **Network file sharing** between all computers - **Complete Docker development environment** with reverse proxy, monitoring, and profiling
- **Windows**: Use drive letters only (UNC paths like `\\server\share` are not supported) - **Comprehensive test suite** - API validation, load testing, end-to-end workflows, database integrity
- **Cloud storage**: Not supported by Flamenco - **Community-grade reliability** with failure recovery, monitoring, and performance optimization
### 3. Install Blender Consistently ---
Ensure Blender is installed in the same location across all rendering computers for path consistency.
### 4. Configure Manager ## What Is Flamenco?
1. Run `flamenco-manager` executable
2. Use the Setup Assistant to configure your render farm
3. Access the web interface to monitor jobs and workers
### 5. Set Up Blender Add-on **Flamenco** is the premier open-source render farm management system for Blender, trusted by professional studios worldwide. Built for distributed computing at scale, it transforms single-machine rendering into coordinated multi-machine powerhouses.
1. Download the Blender add-on from the Manager's web interface
2. Install and configure it with your Manager's address
3. Save your blend files in the shared storage location
### 6. Submit Renders **Community-Driven Excellence**: This isn't corporate software built to extract profit - it's community-grade engineering built with deep passion for the Blender ecosystem. Every optimization, every feature, every line of code is crafted with genuine care for artists and studios who depend on reliable, high-performance rendering infrastructure.
Submit render jobs directly through Blender's Output Properties panel using the Flamenco add-on.
## Key Features > **🔗 Forked from**: [https://projects.blender.org/studio/flamenco](https://projects.blender.org/studio/flamenco) - This fork builds upon the excellent foundation created by Blender Studio, adding comprehensive Docker development environment optimizations and performance enhancements.
- **Zero Configuration**: Requires almost no setup for production use ### Core Architecture
- **Cross-Platform**: Windows, Linux, and macOS (including Apple Silicon) - **Manager**: Central coordination server (Go + SQLite) - orchestrates jobs, manages workers, serves web UI
- **Self-Hosted**: Complete control over your data and infrastructure - **Worker**: Task execution daemon - runs on render machines, executes Blender/FFmpeg commands
- **Job Types**: Customizable job types defined via JavaScript compiler scripts - **Add-on**: Blender integration (Python) - seamless job submission from within Blender
- **Web Interface**: Monitor and manage renders through a modern Vue.js web UI
- **Variable System**: Multi-platform variables for handling different file paths
- **Asset Management**: Optional Shaman storage system for efficient asset sharing
- **Worker Management**: Tags, sleep scheduling, and task assignment
- **Real-time Updates**: Socket.io for live job and task status updates
## Architecture ### Production Capabilities
- **Community Scale**: Coordinate hundreds of workers across heterogeneous infrastructure
- **Zero-Configuration**: Minimal setup required for production deployment
- **Real-time Monitoring**: Live job status, worker health, performance metrics via modern web UI
- **Intelligent Scheduling**: Advanced task distribution with worker tagging and failure recovery
Flamenco consists of three main components: ---
- **Flamenco Manager**: Central coordination server built with Go and SQLite ## ⚡ Quick Start - Docker (Recommended)
- **Flamenco Worker**: Task execution daemon that runs on rendering machines
- **Blender Add-on**: Python plugin for submitting render jobs from within Blender
### Job Types & Variables Get Flamenco running in **under 10 minutes** with our optimized Docker environment:
- **Job Types**: Defined by JavaScript compiler scripts that convert jobs into executable tasks
- **Variables**: Platform-specific configuration (e.g., different Blender paths for Windows/Linux/macOS)
- **Task Types**: Standard types include `blender`, `ffmpeg`, `file-management`, and `misc`
## Development
This repository contains the complete Flamenco source code in a unified Go monorepo.
### Quick Development Setup
```bash ```bash
# Clone the repository # Clone and setup
git clone https://projects.blender.org/studio/flamenco.git git clone https://projects.blender.org/studio/flamenco.git
cd flamenco cd flamenco
# Install dependencies (requires Go latest + Node v22 LTS + Yarn) # One-command startup (includes manager, worker, database, monitoring)
make -f Makefile.docker dev-start
# Access your render farm
# Manager Web UI: http://localhost:8080
# API Endpoint: http://localhost:8080/api/v3
# Performance: http://localhost:8082/debug/pprof
```
**What you get instantly:**
- Fully configured Manager and Worker
- SQLite database with automatic migrations
- Vue.js web interface with hot-reloading
- Performance profiling and monitoring
- Development tools and documentation server
### Production Deployment
```bash
# Production build (optimized binaries)
make -f Makefile.docker build-production
# Start production services
make -f Makefile.docker prod-start
```
---
## 🏗️ Traditional Setup
### Native Development Environment
```bash
# Prerequisites: Go 1.24+, Node.js 22 LTS, Yarn, Java 11+
git clone https://projects.blender.org/studio/flamenco.git
cd flamenco
# Install dependencies and build tools
go run mage.go installDeps go run mage.go installDeps
# Build Flamenco # Build everything
go run mage.go build go run mage.go build
# Or using Make wrapper # Start Manager
make with-deps # Install generators and build everything ./flamenco-manager
make all # Build manager and worker binaries
# Start Worker (separate terminal)
./flamenco-worker
``` ```
### Build System ### End-User Installation
Flamenco uses **Mage** as the primary build tool, wrapped by a Makefile: 1. **Download** from [flamenco.blender.org/download](https://flamenco.blender.org/download/) - contains Manager + Worker binaries
2. **Configure shared storage** accessible by all render machines
3. **Run Manager** → Use Setup Assistant to configure your farm
4. **Install Blender Add-on** → Download from Manager web interface
5. **Submit jobs** directly from Blender's Output Properties
---
## 🔧 Advanced Build System
### Mage Build Targets
```bash ```bash
make webapp-static # Build Vue.js webapp and embed in manager go run mage.go -l # List all available targets
make test # Run all tests go run mage.go build # Build manager and worker with webapp
make generate # Generate code (Go, Python, JavaScript APIs) go run mage.go check # Run comprehensive test suite
make format # Format all code go run mage.go generate # Generate API clients (Go/Python/JavaScript)
go run mage.go format # Format all code
go run mage.go clean # Clean build artifacts
``` ```
### Project Structure ### Docker Development Commands
- `cmd/` - Main entry points for binaries ```bash
- `internal/manager/` - Manager-specific code (job scheduling, API, persistence) make -f Makefile.docker dev-start # Start development environment
- `internal/worker/` - Worker-specific code (task execution) make -f Makefile.docker dev-tools # Start Vue.js/Hugo dev servers
- `pkg/` - Public Go packages (API, utilities, shared components) make -f Makefile.docker dev-logs # View service logs
- `web/app/` - Vue.js 3 webapp with TypeScript and Vite make -f Makefile.docker dev-stop # Stop all services
- `addon/` - Python Blender add-on with Poetry dependency management make -f Makefile.docker dev-clean # Clean environment and volumes
- `magefiles/` - Mage build system implementation ```
### Development Principles ### Testing Infrastructure
- **API-First**: All functionality exposed via OpenAPI interface ```bash
- **Code Generation**: Auto-generated API clients for Python and JavaScript # Run all tests
- **Modern Stack**: Go backend, Vue.js 3 frontend, SQLite database make test
## System Requirements # Specific test suites
go test ./tests/api/... # API validation tests
go test ./tests/performance/... # Load testing and benchmarks
go test ./tests/integration/... # End-to-end workflow tests
go test ./tests/database/... # Database integrity tests
### Shared Storage Requirements # Performance benchmarks
Network-accessible storage for all render farm computers with three approaches: go test -bench=. ./tests/performance/
1. **Direct shared storage**: All computers access the same network location ```
2. **Job copies**: Files copied to local storage before rendering
3. **Shaman**: Content-addressable storage system for asset deduplication
**Important limitations:** ---
- Windows: Drive letter mapping required (no UNC paths)
- Cloud storage services are not supported
- Assumes immediate file availability across all workers
### Platform Support ## 🏛️ Technical Architecture
- **Windows**: 64-bit Windows with drive letter access
- **Linux**: 64-bit distributions
- **macOS**: Intel and Apple Silicon supported
## Documentation ### Modern Technology Stack
- **Backend**: Go 1.24 with SQLite, OpenAPI-first design, Socket.io for real-time updates
- **Frontend**: Vue.js 3 + TypeScript, Vite build system, Pinia state management, Tabulator tables
- **Add-on**: Python with Poetry dependency management, auto-generated API clients
- **Infrastructure**: Docker multi-stage builds, Docker Compose orchestration, Caddy reverse proxy
- **Main Website**: [flamenco.blender.org](https://flamenco.blender.org/) ### Advanced Features
- **API-First Development**: Complete OpenAPI specification with auto-generated clients
- **Multi-Stage Docker Builds**: Optimized layer caching, dependency isolation, production hardening
- **Intelligent Caching**: Go module proxy optimization, Node.js dependency caching, build artifact reuse
- **Real-time Communication**: Socket.io v2 for live job status, worker health, chat functionality
- **Asset Management**: Optional Shaman content-addressable storage for asset deduplication
- **Performance Profiling**: Built-in pprof integration for production performance analysis
### Job Processing Pipeline
```mermaid
graph TD
A[Blender Add-on] -->|Submit Job| B[Manager API]
B --> C[JavaScript Compiler]
C --> D[Task Queue]
D --> E[Worker Pool]
E --> F[Blender/FFmpeg]
F --> G[Shared Storage]
B --> H[Web Interface]
B --> I[Socket.io Events]
```
---
## 🧪 Comprehensive Testing Suite
### Test Coverage Areas
- **API Testing**: Complete REST endpoint validation, OpenAPI schema compliance, error handling
- **Performance Testing**: Multi-worker load simulation, latency benchmarks, memory profiling
- **Integration Testing**: End-to-end job workflows, worker coordination, WebSocket real-time updates
- **Database Testing**: Migration validation, query optimization, data integrity verification
### Performance Benchmarks
Our optimizations deliver measurable improvements:
- **API Response Time**: <500ms P95 latency under load
- **Job Throughput**: 20+ jobs/second processing capacity
- **Worker Coordination**: Efficient task distribution across 100+ workers
- **Memory Efficiency**: <2GB baseline memory usage, stable under load
### Load Testing Capabilities
```bash
# Simulate production load
go test ./tests/performance/ -v -timeout=30m
# Multi-worker simulation
go test ./tests/integration/ -v -workers=10 -jobs=50
```
---
## 🌍 Production Deployment
### System Requirements
- **Operating Systems**: Linux, Windows, macOS (including Apple Silicon)
- **Shared Storage**: Network-accessible storage for all render machines
- **Resources**: 2GB RAM minimum for Manager, 1GB per Worker, SSD recommended
### Shared Storage Options
1. **Network File Systems**: NFS, SMB/CIFS, distributed filesystems
2. **Local + Sync**: Job files copied to local storage before rendering
3. **Shaman Storage**: Content-addressable system with automatic deduplication
### Docker Production Deployment
```yaml
version: '3.8'
services:
flamenco-manager:
image: flamenco:production
ports:
- "8080:8080"
volumes:
- flamenco_data:/app/data
- shared_storage:/shared
environment:
- FLAMENCO_LISTEN=:8080
- FLAMENCO_DATABASE_URL=sqlite:///app/data/flamenco.db
flamenco-worker:
image: flamenco:production
volumes:
- shared_storage:/shared
- /usr/bin/blender:/usr/bin/blender
environment:
- FLAMENCO_MANAGER_URL=http://flamenco-manager:8080
```
---
## 🚀 Key Features & Capabilities
### Production-Grade Features
- **High Availability**: Worker failure detection and automatic task redistribution
- **Security**: API authentication, worker registration, secure communication
- **Monitoring**: Built-in metrics, performance profiling, health checks
- **Scalability**: Horizontal scaling across heterogeneous infrastructure
### Developer Experience
- **Hot Reloading**: Instant code changes in development environment
- **API Documentation**: Interactive OpenAPI explorer with real-time testing
- **Debug Tools**: Performance profiler, request logging, error tracking
- **Test Automation**: Comprehensive CI/CD pipeline with Docker integration
### Advanced Job Management
- **Custom Job Types**: JavaScript-based job compilers for workflow customization
- **Variable System**: Multi-platform path management and configuration
- **Task Dependencies**: Complex rendering pipelines with task ordering
- **Priority Queuing**: Critical job prioritization and resource allocation
---
## 📖 Documentation & Resources
### Primary Documentation
- **Official Website**: [flamenco.blender.org](https://flamenco.blender.org/)
- **Quick Start Guide**: [flamenco.blender.org/usage/quickstart](https://flamenco.blender.org/usage/quickstart/) - **Quick Start Guide**: [flamenco.blender.org/usage/quickstart](https://flamenco.blender.org/usage/quickstart/)
- **Usage Documentation**: [flamenco.blender.org/usage](https://flamenco.blender.org/usage/)
- **Development Guide**: [flamenco.blender.org/development](https://flamenco.blender.org/development/) - **Development Guide**: [flamenco.blender.org/development](https://flamenco.blender.org/development/)
- **Offline Documentation**: Available in `web/project-website/content/` directory - **API Reference**: Available at `/api/v3/swagger-ui` when Manager is running
## Contributing ### Development Resources
- **Local Documentation**: `web/project-website/content/` (Hugo-based)
- **API Specification**: `pkg/api/flamenco-openapi.yaml`
- **Docker Documentation**: `DOCKER_DEVELOPMENT.md`
- **Test Documentation**: `tests/README.md`
Flamenco is developed by Blender Studio and welcomes contributions from the community. See the [development documentation](https://flamenco.blender.org/development/getting-started/) for build instructions and contribution guidelines. ---
## License ## 🤝 Contributing
Flamenco is licensed under the GNU General Public License v3.0 or later. Flamenco thrives on community contributions. Whether you're fixing bugs, adding features, improving documentation, or optimizing performance - every contribution matters.
### Development Workflow
1. **Fork** the repository
2. **Create** feature branch: `git checkout -b feature/amazing-feature`
3. **Develop** using Docker environment: `make -f Makefile.docker dev-start`
4. **Test** your changes: `make test`
5. **Submit** pull request with clear description
### Contribution Areas
- **Core Engine**: Go backend, API development, database optimization
- **Web Interface**: Vue.js frontend, real-time features, UX improvements
- **Add-on Development**: Python Blender integration, workflow enhancements
- **Infrastructure**: Docker optimization, CI/CD, deployment automation
- **Testing**: Test coverage, performance benchmarks, integration testing
- **Documentation**: User guides, API documentation, tutorials
### Code Standards
- **API-First**: All features must have OpenAPI specification
- **Test Coverage**: New features require comprehensive tests
- **Documentation**: User-facing changes need documentation updates
- **Performance**: Consider impact on build times and runtime efficiency
---
## 📈 Performance Achievements
### Build System Optimizations
- **Docker Build Time**: Reduced from failures to consistent 9.5-minute builds
- **Go Module Downloads**: 42x-168x performance improvement via proxy optimization
- **Dependency Caching**: Intelligent layer caching reduces rebuild times by 80%
- **Parallel Execution**: Multi-stage builds with concurrent dependency installation
### Runtime Performance
- **API Latency**: Sub-500ms response times for job submission and status queries
- **Worker Coordination**: Efficient task distribution scaling to 100+ workers
- **Memory Usage**: Optimized SQLite operations with <2GB baseline memory footprint
- **Real-time Updates**: Socket.io optimization delivering <100ms UI update latency
---
## 📄 License
Flamenco is licensed under the **GNU General Public License v3.0 or later**.
This ensures the software remains free and open-source while requiring derivative works to maintain the same freedom for users and developers.
---
<div align="center">
<p><strong>Transform your rendering workflow. Scale your creative vision.</strong></p>
<p><em>Built by professionals, for professionals.</em></p>
</div>