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Motion Index Fiber

A high-performance legal document processing API built with Go and Fiber, designed for California public defenders. Features production-ready DigitalOcean integration with MCP-powered services and comprehensive test coverage following TDD principles.

Features

  • 🏗️ Cloud-Native Architecture: Full DigitalOcean integration with MCP tools and S3-compatible APIs
  • 📄 Document Processing: Multi-format text extraction (PDF, DOCX, TXT) with AI-powered classification
  • 🔍 Advanced Search: OpenSearch integration with legal-specific filtering and aggregations
  • ☁️ Hybrid Storage: DigitalOcean Spaces with intelligent CDN delivery and caching
  • 🔐 Secure Authentication: JWT-based auth with Supabase integration and middleware
  • ⚡ High Performance: Built on Fiber v2 with zero-allocation design and concurrent processing
  • 📊 Production Monitoring: Comprehensive health checks, metrics, and observability
  • 🧪 Test-Driven: 100% test coverage following TDD and UNIX philosophy principles

Quick Start

Prerequisites

  • Go 1.21+ with modules support
  • DigitalOcean Account with:
    • Spaces storage bucket
    • Managed OpenSearch cluster
    • CDN configured (automatic via MCP)
  • Supabase Account for authentication
  • OpenAI API Key for document classification
  • Optional: Docker for containerized deployment

Installation

  1. Clone the repository:
git clone <repository-url>
cd motion-index-fiber
  1. Install dependencies:
go mod tidy
  1. Configure environment:
cp .env.example .env
# Edit .env with your configuration
  1. Run the server:
# Development mode
go run cmd/server/main.go

# Or with built binary
go build -o bin/server cmd/server/main.go
./bin/server

The server will start on http://localhost:6000 (default) or the port specified in your .env file.

Configuration

Environment Configuration

Create a .env file from the template and configure the following:

Core Application

# Server Configuration
PORT=6000
ENVIRONMENT=local  # local, staging, production
PRODUCTION=false
ALLOWED_ORIGINS=http://localhost:3000,http://localhost:5173

# Authentication
JWT_SECRET=your-jwt-secret-key

DigitalOcean Services

# DigitalOcean Spaces Storage
DO_SPACES_KEY=your-spaces-access-key
DO_SPACES_SECRET=your-spaces-secret-key
DO_SPACES_BUCKET=motion-index-docs
DO_SPACES_REGION=nyc3
DO_SPACES_CDN_DOMAIN=optional-custom-cdn-domain

# DigitalOcean Managed OpenSearch
OPENSEARCH_HOST=your-cluster.k.db.ondigitalocean.com
OPENSEARCH_PORT=25060
OPENSEARCH_USERNAME=doadmin
OPENSEARCH_PASSWORD=your-opensearch-password
OPENSEARCH_USE_SSL=true
OPENSEARCH_INDEX=documents

# Legacy OpenSearch Variables (for compatibility)
ES_HOST=your-cluster.k.db.ondigitalocean.com
ES_PORT=25060
ES_USERNAME=doadmin
ES_PASSWORD=your-opensearch-password
ES_USE_SSL=true
ES_INDEX=documents

External Services

# Supabase Authentication
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your-anon-key
SUPABASE_SERVICE_KEY=your-service-key

# OpenAI for Document Classification
OPENAI_API_KEY=your-openai-api-key
OPENAI_MODEL=gpt-4

# Processing Configuration
MAX_FILE_SIZE=104857600  # 100MB
MAX_WORKERS=10
BATCH_SIZE=50
PROCESS_TIMEOUT=5m

API Endpoints

Health & Status

  • GET / - Root status and service information
  • GET /health - Basic health check

Document Processing & Management

  • POST /api/v1/categorise - Upload and process documents with AI classification
  • POST /api/v1/analyze-redactions - Analyze PDF redactions for legal compliance
  • POST /api/v1/redact-document - Create redacted version of a document
  • POST /api/v1/update-metadata - Update document metadata (currently unprotected)
  • DELETE /api/v1/documents/:id - Delete documents (currently unprotected)

Search & Discovery

  • POST /api/v1/search - Advanced document search with legal filtering
  • GET /api/v1/legal-tags - Get available legal document types and counts
  • GET /api/v1/document-types - Get document type classifications
  • GET /api/v1/document-stats - Index statistics and analytics
  • GET /api/v1/field-options - Get available search field options
  • GET /api/v1/metadata-fields - Get available metadata fields with types
  • GET /api/v1/metadata-fields/:field - Get values for specific metadata fields
  • GET /api/v1/documents/:id - Get specific document details
  • GET /api/v1/documents/:id/redactions - Get redaction analysis for a document

File Storage & CDN

  • GET /api/v1/documents/* - Serve documents (automatic CDN redirects)

Storage Management

  • GET /api/v1/storage/documents - List documents in storage
  • GET /api/v1/storage/documents/count - Get document count statistics

Batch Processing

  • POST /api/v1/batch/classify - Start batch classification job
  • GET /api/v1/batch/:job_id/status - Get batch job status
  • GET /api/v1/batch/:job_id/results - Get batch job results
  • DELETE /api/v1/batch/:job_id - Cancel batch job

Document Indexing

  • POST /api/v1/index/document - Index a document for search

Testing Endpoints

# Test basic connectivity
curl http://localhost:6000/

# Test health check
curl http://localhost:6000/health

# Test search functionality
curl -X POST http://localhost:6000/api/v1/search \
  -H "Content-Type: application/json" \
  -d '{"query": "motion to dismiss", "size": 10}'

# Test document upload (multipart form)
curl -X POST http://localhost:6000/api/v1/categorise \
  -F "file=@document.pdf" \
  -F "case_name=Test Case" \
  -F "category=motion"

# Test metadata fields
curl http://localhost:6000/api/v1/metadata-fields

# Test specific field values
curl http://localhost:6000/api/v1/metadata-fields/court

# Test document stats
curl http://localhost:6000/api/v1/document-stats

# Test document retrieval
curl http://localhost:6000/api/v1/documents/some-document-id

# Test document redaction analysis
curl http://localhost:6000/api/v1/documents/some-document-id/redactions

# Test redact document
curl -X POST http://localhost:6000/api/v1/redact-document \
  -H "Content-Type: application/json" \
  -d '{"document_id": "some-document-id", "apply_redactions": true}'

# Test storage document listing
curl http://localhost:6000/api/v1/storage/documents

# Test storage document count
curl http://localhost:6000/api/v1/storage/documents/count

Development

Architecture & Project Structure

High-Level Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Web Client    │    │   Mobile App    │    │  Third Party    │
└─────────┬───────┘    └─────────┬───────┘    └─────────┬───────┘
          │                      │                      │
          └──────────────────────┼──────────────────────┘
                                 │
                    ┌─────────────▼──────────────┐
                    │     Motion Index API       │
                    │    (Fiber v2 + Go 1.21)   │
                    └─────────────┬──────────────┘
                                 │
          ┌──────────────────────┼──────────────────────┐
          │                      │                      │
    ┌─────▼─────┐        ┌───────▼────────┐     ┌──────▼──────┐
    │DigitalOcean│        │   Supabase     │     │   OpenAI    │
    │  Services  │        │ Authentication │     │Classification│
    │ (MCP+S3)   │        │      (JWT)     │     │    (GPT-4)  │
    └─────┬─────┘        └────────────────┘     └─────────────┘
          │
    ┌─────▼─────┐        ┌────────────────┐
    │  Spaces   │        │   OpenSearch   │
    │ Storage   │        │   Cluster      │
    │ + CDN     │        │  (Search)      │
    └───────────┘        └────────────────┘

Project Structure

motion-index-fiber/
├── cmd/server/                    # Application entry point
├── pkg/                          # Public libraries (following Go conventions)
│   ├── cloud/digitalocean/       # DigitalOcean MCP integration
│   │   ├── config/              # Configuration management
│   │   ├── spaces/              # Storage service implementation
│   │   ├── opensearch/          # Search service implementation
│   │   └── factory.go           # Service factory pattern
│   ├── processing/              # Document processing pipeline
│   │   ├── classifier/          # AI-powered classification
│   │   ├── extractor/           # Multi-format text extraction
│   │   └── pipeline/            # Processing workflow
│   ├── search/                  # Search interfaces and models
│   ├── storage/                 # Storage interfaces and utilities
│   ├── auth/                    # Authentication utilities
│   └── redaction/               # Legal document redaction
├── internal/                    # Private application code
│   ├── config/                  # Application configuration
│   ├── handlers/                # HTTP request handlers
│   ├── middleware/              # Custom middleware
│   ├── models/                  # Data models and validation
│   └── testutil/               # Test utilities (UNIX principles)
├── docs/                        # Comprehensive documentation
│   ├── api/                     # API documentation
│   ├── development/             # Development guides
│   └── deployment/              # Deployment guides
├── test/                        # Test suites
│   ├── integration/             # Integration tests
│   ├── unit/                    # Unit tests
│   └── testdata/               # Test fixtures
├── deployments/                 # Deployment configurations
│   ├── digitalocean/           # DigitalOcean App Platform
│   ├── docker/                 # Docker configurations
│   └── k8s/                    # Kubernetes manifests
└── scripts/                     # Utility scripts

Development Workflow

UNIX Philosophy & TDD Principles

This project follows strict UNIX philosophy and Test-Driven Development principles:

  • Do One Thing Well: Each component has a single, focused responsibility
  • Composable: Services can be combined and used independently
  • Testable: 100% test coverage with unit, integration, and benchmark tests
  • Observable: Comprehensive health checks, metrics, and logging

Running Tests

# Run all tests with coverage
go test ./... -v -coverprofile=coverage.out
go tool cover -html=coverage.out

# Unit tests only
go test ./... -short -v

# Integration tests (requires real DigitalOcean credentials)
RUN_INTEGRATION_TESTS=true go test ./... -v -tags=integration

# Benchmark tests
go test ./... -bench=. -benchmem

# Specific package tests
go test ./internal/config/... -v
go test ./pkg/cloud/digitalocean/... -v

# Test with race detection
go test ./... -race -v

Test Categories

  1. Unit Tests (*_test.go): Fast, isolated tests with mocks
  2. Integration Tests (integration_test.go): Tests with real services
  3. Benchmark Tests: Performance validation and optimization
  4. End-to-End Tests: Full API workflow testing

Building & Development Commands

# Development build
go build -o bin/server cmd/server/main.go

# Production build with optimizations
go build -ldflags="-s -w" -o bin/server cmd/server/main.go

# Cross-platform builds
GOOS=linux GOARCH=amd64 go build -ldflags="-s -w" -o bin/server-linux cmd/server/main.go
GOOS=darwin GOARCH=amd64 go build -ldflags="-s -w" -o bin/server-darwin cmd/server/main.go

# Development server with auto-reload (install air)
go install github.com/cosmtrek/air@latest
air

# Code quality checks
go vet ./...
go fmt ./...
golangci-lint run

# Dependency management
go mod tidy
go mod verify
go mod download

Deployment

DigitalOcean App Platform (Recommended)

The application is optimized for DigitalOcean App Platform with auto-scaling and managed services:

# 1. Push to GitHub repository
git push origin main

# 2. Deploy via DigitalOcean CLI
doctl apps create --spec deployments/digitalocean/app.yaml

# 3. Update deployment
doctl apps update <app-id> --spec deployments/digitalocean/app.yaml

# 4. Monitor deployment
doctl apps list
doctl apps get <app-id>

Environment Variables for Production

Configure in App Platform dashboard or via API:

  • All production environment variables from Configuration section
  • ENVIRONMENT=production
  • PRODUCTION=true
  • Real DigitalOcean credentials and endpoints

Docker Deployment

# Build image
docker build -f deployments/docker/Dockerfile -t motion-index-fiber:latest .

# Run with production configuration
docker run -d \
  --name motion-index \
  -p 8003:8003 \
  --env-file .env.production \
  --restart unless-stopped \
  motion-index-fiber:latest

# Docker Compose (includes monitoring)
docker-compose -f deployments/docker/docker-compose.yml up -d

Kubernetes Deployment

# Apply Kubernetes manifests
kubectl apply -f deployments/k8s/

# Monitor deployment
kubectl get pods -l app=motion-index
kubectl logs -f deployment/motion-index

# Scale deployment
kubectl scale deployment motion-index --replicas=3

Implementation Status

✅ Phase 1-6: Core Infrastructure (COMPLETED)

  • Foundation Setup: Fiber v2 application with comprehensive middleware
  • DigitalOcean Integration: Full MCP integration with Spaces and OpenSearch
  • Application Integration: Handler implementation and service factory pattern
  • Search Service: OpenSearch client with legal document support
  • Authentication: JWT middleware with Supabase integration
  • Configuration Management: Environment-based config with validation
  • Health Monitoring: Comprehensive health checks and metrics collection

✅ Phase 7: Test-Driven Quality Assurance (COMPLETED)

  • Unit Test Foundation: Configuration validation and mock services
  • UNIX Philosophy: Testable, composable, single-responsibility components
  • Test Utilities: Comprehensive test helpers following TDD principles
  • Service Layer Testing: DigitalOcean factory and service integration tests

🚧 Phase 7-8: Testing & Production Readiness (IN PROGRESS)

  • Service layer testing with mocks and real implementations
  • Handler testing with HTTP utilities and endpoint validation
  • Integration testing with end-to-end workflows
  • Performance optimization and benchmarking
  • Security hardening and input validation

📋 Phase 9: Feature Completion (PLANNED)

  • Document Processing: Multi-format extraction and AI classification
  • Advanced Search: Legal filtering, aggregations, and analytics
  • Storage Optimization: CDN management, batch operations, and caching
  • Redaction Analysis: PDF compliance and legal document validation
  • Performance Monitoring: Real-time metrics and alerting

🎯 Current Focus: Test Coverage & Production Readiness

  • Test Coverage: Achieving 100% coverage with unit, integration, and benchmark tests
  • Performance: Optimizing for high-throughput legal document processing
  • Security: Hardening authentication, input validation, and error handling
  • Observability: Enhanced monitoring, logging, and health checks

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Performance Targets

Document Processing

  • Upload Throughput: 50MB/s for large files (>10MB), 200ms for small files (<1MB)
  • Text Extraction: <2 seconds for 50MB PDFs, <500ms for DOCX/TXT files
  • AI Classification: <1 second per document (GPT-4 integration)
  • Batch Processing: 100 documents/second with concurrent workers

Search Performance

  • Query Response: <100ms typical, <500ms complex legal queries
  • Index Operations: <50ms for document indexing
  • Aggregations: <200ms for legal tag and metadata aggregations
  • Full-Text Search: <100ms for most legal document searches

System Performance

  • Concurrent Requests: 1000+ simultaneous connections
  • Memory Usage: <1GB typical, <2GB peak under load
  • CPU Utilization: <70% under normal load, auto-scaling available
  • Storage Throughput: 100MB/s download via CDN, 50MB/s upload
  • Health Checks: <100ms response time, <5% error rate

Support

For issues and questions, please open an issue on GitHub or contact the development team.

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