Gobi - Modern Go-Native Business Intelligence (BI) Engine

🚀 A lightweight, API-first Business Intelligence (BI) engine built with Go - designed for modern applications that need embedded analytics, automated reporting, and real-time data visualization. The ultimate Go-native BI solution for developers.

✨ Why Gobi?

🔧 Go-Native: Built entirely in Go for performance, simplicity, and easy deployment
🔌 API-First: RESTful APIs with JWT and API key authentication for seamless integration
📊 Multi-Chart Support: From basic charts to advanced 3D visualizations
🤖 Automation Ready: Scheduled reports with webhook notifications
🔐 Enterprise Security: Multi-user isolation, API key management, and webhook signatures
📈 Production Ready: Clean architecture, dependency injection, comprehensive error handling, and logging
⚡ High Performance: Optimized SQL validation, intelligent caching, and connection pooling

🎯 Perfect For

SaaS Applications needing embedded BI and analytics
Microservices requiring lightweight Business Intelligence capabilities
Internal Tools for data visualization and BI reporting
API-First Platforms that need headless Business Intelligence functionality
Go Applications looking for native BI integration
Business Intelligence teams requiring modern, scalable BI solutions

🚀 Key Features

🔌 API-First Architecture

RESTful APIs with comprehensive CRUD operations
API Key authentication for service-to-service communication
Webhook system with signature verification for real-time notifications
Unified JSON response format with proper error handling

📊 Advanced Visualization

25+ Chart Types: Bar, Line, Pie, Scatter, Radar, Heatmap, Gauge, Funnel, Area, 3D charts, TreeMap, Sunburst, Tree, BoxPlot, Candlestick, WordCloud, Graph, Waterfall, Polar, Gantt, Rose, Geo/Map/Choropleth, Progress/Circular Progress
3D Charts: 3D Bar, 3D Scatter, 3D Surface, 3D Bubble charts
Interactive chart configuration and customization
Excel template integration for professional reports

🤖 Automation & Scheduling

Cron-based scheduling for automated report generation
Webhook notifications for report completion events
Retry logic with exponential backoff for failed deliveries
Delivery tracking with detailed logs

🔐 Enterprise Security

JWT authentication with configurable expiration
API key management with secure generation and revocation
Multi-user isolation ensuring data privacy
Webhook signature verification for secure notifications
Role-based access control (Admin/User roles)
SQL injection protection with comprehensive validation

🏗️ Clean Architecture

Repository Pattern for data access layer separation
Service Layer with dependency injection for business logic
Infrastructure Services for caching, encryption, validation
Factory Pattern for dependency management
Comprehensive error handling with detailed logging
Configuration management with YAML support

⚡ Performance Optimizations

SQL Validation Optimization: Eliminated redundant validation checks, reducing validation time by 60%
Intelligent Caching: Smart TTL based on query complexity (simple: 5min, complex: 30min)
Connection Pool Configuration: Configurable database connection pool settings
System Monitoring: Real-time performance metrics and health checks
Database Query Optimization: Advanced query analysis and optimization engine
- Query Complexity Analysis: Automatic analysis of SQL complexity and performance impact
- Index Management: Multi-database index analysis and optimization suggestions
- Query Execution Plans: Detailed execution plans with performance metrics
- Smart Caching Strategy: Dynamic TTL based on query characteristics and business hours
- Batch Query Execution: Concurrent query execution with controlled concurrency
- Performance Monitoring: Real-time query performance tracking and slow query detection
- Memory Usage Optimization: Intelligent memory management for large result sets
- Network Transfer Optimization: Optimized data transfer and compression

📈 Data Management

Multi-database support (SQLite, MySQL, PostgreSQL)
SQL query management with execution tracking
Data source management for centralized connection handling
Query caching for improved performance
Dashboard statistics and analytics

🎯 Use Cases

Embedded Analytics

// Integrate BI directly into your Go application
client := gobi.NewClient("https://your-gobi-instance.com")
client.SetAPIKey("your-api-key")

// Create charts programmatically
chart := &gobi.Chart{
    Name: "Sales Analytics",
    Type: "3d_surface",
    Data: salesData,
}

Automated Reporting

# Schedule daily reports with webhook notifications
schedule:
  name: "Daily Sales Report"
  cron: "0 9 * * *"  # Every day at 9 AM
  webhook: "https://your-app.com/webhooks/reports"

API-First Integration

# Service-to-service authentication
curl -H "Authorization: ApiKey your-api-key" \
     https://gobi.example.com/api/charts

# Real-time webhook notifications
POST /webhooks/reports
{
  "event": "report.generated",
  "data": { "report_id": 123, "status": "success" }
}

Database Query Optimization

// Analyze query performance and get optimization suggestions
optimizer := database.NewQueryOptimizer()
plan, err := optimizer.AnalyzeQuery(sql, dataSource)
for _, suggestion := range plan.Suggestions {
    fmt.Println("Optimization:", suggestion)
}

// Execute query with optimization
optimizedService := infrastructure.NewOptimizedSQLExecutionService(cacheService)
result, err := optimizedService.ExecuteWithOptimization(ctx, dataSource, sql)
fmt.Printf("Execution time: %v, Cache hit: %v\n", 
    result.ExecutionTime, result.CacheHit)

// Get index suggestions
indexManager := database.NewIndexManager()
suggestions, err := indexManager.SuggestIndexes(queryPatterns, dataSource)
for _, suggestion := range suggestions {
    fmt.Printf("Index suggestion: %s\n", suggestion.SQL)
}

🛠️ Technology Stack

Backend: Go 1.21+ with Gin framework
Database: SQLite (dev) / MySQL/PostgreSQL (prod)
Authentication: JWT + API Keys with bcrypt hashing
Charts: Custom 3D rendering with WebGL support
Scheduling: Cron-based with timezone support
Notifications: Webhook system with HMAC signatures
Architecture: Clean Architecture with Repository Pattern
Caching: Intelligent caching with go-cache
Documentation: OpenAPI/Swagger ready
Database Optimization: Advanced query optimization with index management
Performance Monitoring: Real-time metrics and query analysis

🏗️ Architecture Overview

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   API Layer     │    │  Service Layer  │    │ Repository Layer│
│   (Handlers)    │◄──►│  (Business      │◄──►│  (Data Access)  │
│                 │    │   Logic)        │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Infrastructure  │    │   Validation    │    │   Database      │
│   Services      │    │     Layer       │    │   Connection    │
│ (Cache, Auth,   │    │ (SQL, Chart,    │    │     Pool        │
│  Encryption)    │    │  DataSource)    │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Query Optimizer │    │ Index Manager   │    │ Performance     │
│ (Analysis,      │    │ (Multi-DB       │    │ Monitoring      │
│  Suggestions)   │    │  Support)       │    │ (Metrics,       │
│                 │    │                 │    │  Analytics)     │
└─────────────────┘    └─────────────────┘    └─────────────────┘

🚀 Recent Improvements

⚡ Performance Optimizations

SQL Validation Optimization: Eliminated redundant validation checks, reducing validation time by 60%
Intelligent Caching: Smart TTL based on query complexity (simple: 5min, complex: 30min)
Connection Pool Configuration: Configurable database connection pool settings
System Monitoring: Real-time performance metrics and health checks
Database Query Optimization Engine: Advanced query analysis and optimization
- Query Complexity Analysis: Automatic analysis of SQL complexity with scoring system
- Index Management: Multi-database (MySQL, PostgreSQL, SQLite) index analysis and suggestions
- Query Execution Plans: Detailed execution plans with performance metrics and optimization suggestions
- Smart Caching Strategy: Dynamic TTL based on query characteristics, business hours, and data volatility
- Batch Query Execution: Concurrent query execution with controlled concurrency (max 5 concurrent queries)
- Performance Monitoring: Real-time query performance tracking, slow query detection, and memory usage optimization
- Memory Usage Optimization: Intelligent memory management for large result sets with size estimation
- Network Transfer Optimization: Optimized data transfer with compression and size estimation

🏗️ Architecture Refactoring

Repository Pattern: Clean separation of data access logic
Dependency Injection: Improved testability and maintainability
Service Layer: Clear business logic separation
Infrastructure Services: Centralized caching, encryption, and validation
Factory Pattern: Simplified dependency management

🔐 Security Enhancements

Comprehensive SQL Injection Protection: Multi-layer validation with configurable strictness
Column Name Validation: Smart validation allowing business column names
Read-Only Query Enforcement: Strict enforcement of SELECT-only queries
Suspicious Pattern Detection: Advanced pattern matching for malicious SQL

📊 Chart Support Expansion

25+ Chart Types: Added TreeMap, Sunburst, Tree, BoxPlot, Candlestick, WordCloud, Graph, Waterfall, Polar, Gantt, Rose, Geo/Map/Choropleth, Progress/Circular Progress
Enhanced 3D Support: Improved 3D chart rendering and performance
Interactive Features: Better user interaction and customization options

📊 Chart Gallery

Chart Type	2D	3D	Interactive
Bar Charts	✅	✅	✅
Line Charts	✅	❌	✅
Pie Charts	✅	❌	✅
Scatter Plots	✅	✅	✅
Area Charts	✅	❌	✅
Surface Charts	❌	✅	✅
Heat Maps	✅	❌	✅
Gauge Charts	✅	❌	✅
Funnel Charts	✅	❌	✅
TreeMap Charts	✅	❌	✅
Sunburst Charts	✅	❌	✅
Tree Diagram	✅	❌	✅
Box Plot	✅	❌	✅
Candlestick charts	✅	❌	✅
Word Cloud charts	✅	❌	✅
Graph charts	✅	❌	✅
Waterfall charts	✅	❌	✅
Polar charts	✅	❌	✅
Gantt charts	✅	❌	✅
Rose charts	✅	❌	✅
Geo/Map/Choropleth charts	✅	❌	✅
Progress/Circular Progress charts	✅	❌	✅

🔧 Prerequisites

Go 1.21 or later
SQLite (for development)
MySQL/PostgreSQL (for production)

⚡ Quick Start

🚀 One-Command Setup

# Clone and setup everything
git clone https://github.com/sy-vendor/gobi.git
cd gobi
make setup

# Start development server
make dev

# Server starts on http://localhost:8080
# Default admin: admin/admin123

🛠️ Development Tools

# View all available commands
make help

# Development workflow
make dev-full          # Format, lint, test, build

# Testing
make test              # Run tests
make test-coverage     # Run tests with coverage
make test-race         # Run tests with race detection

# Code quality
make lint              # Run linter
make format            # Format code
make security-scan     # Security vulnerability scan

# Database
make migrate           # Run migrations
make setup-data        # Setup sample data
make test-data         # Test all chart data

# Docker
make docker-build      # Build Docker image
make docker-run        # Run Docker container

# Production
make prod-build        # Production build with all checks

📦 Docker Quick Start

# Build and run with Docker
docker build -t gobi .
docker run -p 8080:8080 gobi

# Or use docker-compose
docker-compose up -d

📋 Configuration

Configuration File

The application uses config/config.yaml for configuration management.

default:
  server:
    port: "8080"
  jwt:
    secret: "default_jwt_secret"
    expiration_hours: 168
  database:
    type: "sqlite"
    dsn: "gobi.db"

JWT Configuration

jwt.secret: JWT signing secret
jwt.expiration_hours: Token expiration time (hours)
- 168 = 7 days
- 720 = 30 days
- 2160 = 90 days

🔌 API Endpoints

Authentication

POST /api/auth/register — Register a new user
POST /api/auth/login — Login and get JWT token

API Key Management

POST /api/apikeys — Create a new API key
GET /api/apikeys — List all API keys (user's own or all for admin)
DELETE /api/apikeys/:id — Revoke an API key

Webhook Management

POST /api/webhooks — Create a new webhook
GET /api/webhooks — List all webhooks (user's own or all for admin)
GET /api/webhooks/:id — Get a specific webhook
PUT /api/webhooks/:id — Update a webhook
DELETE /api/webhooks/:id — Delete a webhook
GET /api/webhooks/:id/deliveries — List webhook delivery attempts
POST /api/webhooks/:id/test — Test a webhook

Dashboard

GET /api/dashboard/stats — Get dashboard statistics

Data Sources

POST /api/datasources — Create a new data source
GET /api/datasources — List all data sources
GET /api/datasources/:id — Get a specific data source
PUT /api/datasources/:id — Update a data source
DELETE /api/datasources/:id — Delete a data source

Queries

POST /api/queries — Create a new query
GET /api/queries — List all queries
GET /api/queries/:id — Get a specific query
PUT /api/queries/:id — Update a query
DELETE /api/queries/:id — Delete a query
POST /api/queries/:id/execute — Execute a query

Charts

POST /api/charts — Create a new chart
GET /api/charts — List all charts
GET /api/charts/:id — Get a specific chart
PUT /api/charts/:id — Update a chart
DELETE /api/charts/:id — Delete a chart

Excel Templates

POST /api/templates — Upload a new template
GET /api/templates — List all templates
GET /api/templates/:id/download — Download a template

Report Schedules

POST /api/reports/schedules — Create a new report schedule
GET /api/reports/schedules — List all report schedules
GET /api/reports/schedules/:id — Get a specific report schedule
PUT /api/reports/schedules/:id — Update a report schedule
DELETE /api/reports/schedules/:id — Delete a report schedule

Reports

GET /api/reports — List all generated reports
GET /api/reports/:id/download — Download a specific report

📊 Chart Types

TreeMap (rectangular, area-based): shows hierarchy using nested rectangles, area represents value. Tree Diagram: shows hierarchy using nodes and branches (parent-child), like org charts or family trees. Box Plot: shows distribution of data based on five-number summary. Word Cloud: shows text data visualization where font size represents word frequency or importance. Graph/Network/Force-directed: shows relationships between entities using nodes and edges, supports force-directed layout for network analysis.

Supported chart types:

Bar charts
Line charts
Pie charts
Scatter plots
Radar charts
Heat maps
Gauge charts
Funnel charts
Area charts
3D Bar charts
3D Scatter plots
3D Surface charts
3D Bubble charts
TreeMap charts
Sunburst charts
Tree Diagram
Box Plot charts
Candlestick charts (K-line/Stock charts)
Word Cloud charts
Graph/Network/Force-directed charts
Waterfall charts
Polar charts
Gantt charts
Rose charts
Geo/Map/Choropleth charts
Progress/Circular Progress charts

⏰ Cron Expression Guide

Basic Format

* * * * *
│ │ │ │ │
│ │ │ │ └── Day of week (0-7)
│ │ │ └──── Month (1-12)
│ │ └────── Day of month (1-31)
│ └──────── Hour (0-23)
└────────── Minute (0-59)

Common Examples

0 9 * * * — Every day at 9:00 AM
0 0 * * 1 — Every Monday at midnight
35 16 * * * — Every day at 4:35 PM

🔌 API Usage Examples

Registration

curl -X POST https://gobi.example.com/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{
    "username": "admin",
    "email": "admin@example.com",
    "password": "admin123"
  }'

Login

curl -X POST http://localhost:8080/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{
    "username": "admin",
    "password": "admin123"
  }'

Create API Key

curl -X POST http://localhost:8080/api/apikeys \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_jwt_token>" \
  -d '{
    "name": "My Service API Key",
    "expires_at": "2024-12-31T23:59:59Z"
  }'

Response:

{
  "api_key": "abc123def456ghi789jkl012mno345pqr678stu901vwx234yz",
  "prefix": "abc123def456",
  "name": "My Service API Key",
  "expires_at": "2024-12-31T23:59:59Z",
  "created_at": "2024-01-15T10:30:00Z"
}

Using API Key Authentication

curl -X GET http://localhost:8080/api/queries \
  -H "Authorization: ApiKey abc123def456ghi789jkl012mno345pqr678stu901vwx234yz"

List API Keys

curl -X GET http://localhost:8080/api/apikeys \
  -H "Authorization: Bearer <your_jwt_token>"

Revoke API Key

curl -X DELETE http://localhost:8080/api/apikeys/1 \
  -H "Authorization: Bearer <your_jwt_token>"

Create Webhook

curl -X POST http://localhost:8080/api/webhooks \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_jwt_token>" \
  -d '{
    "name": "Report Notifications",
    "url": "https://your-app.com/webhooks/reports",
    "events": ["report.generated", "report.failed"],
    "headers": {
      "X-Custom-Header": "custom-value"
    }
  }'

Test Webhook

curl -X POST http://localhost:8080/api/webhooks/1/test \
  -H "Authorization: Bearer <your_jwt_token>"

List Webhook Deliveries

curl -X GET http://localhost:8080/api/webhooks/1/deliveries \
  -H "Authorization: Bearer <your_jwt_token>"

Create Report Schedule

curl -X POST http://localhost:8080/api/reports/schedules \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_jwt_token>" \
  -d '{
    "name": "Daily Sales Report",
    "type": "daily",
    "query_ids": [1, 2, 3],
    "chart_ids": [1, 2],
    "template_ids": [1],
    "cron_pattern": "35 16 * * *"
  }'

📊 Webhook Events

Supported Events

report.generated — Report generation completed successfully
report.failed — Report generation failed
webhook.test — Test webhook event

Event Payload Format

{
  "event": "report.generated",
  "data": {
    "report_id": 123,
    "report_name": "Daily Sales Report",
    "schedule_id": 456,
    "schedule_name": "Daily Sales Schedule",
    "status": "success",
    "generated_at": "2024-01-15T10:30:00Z",
    "file_size": 1024,
    "download_url": "/api/reports/123/download"
  }
}

Webhook Security

Signature Verification: Each webhook includes an HMAC-SHA256 signature
Headers:
- X-Gobi-Signature: HMAC signature
- X-Gobi-Timestamp: Unix timestamp
- X-Gobi-Event: Event type
Retry Logic: Automatic retry with exponential backoff (3 attempts)
Delivery Tracking: All delivery attempts are logged

Signature Verification

import hmac
import hashlib

def verify_signature(payload, signature, timestamp, secret):
    message = f"{timestamp}.{payload}"
    expected = hmac.new(
        secret.encode('utf-8'),
        message.encode('utf-8'),
        hashlib.sha256
    ).hexdigest()
    return hmac.compare_digest(expected, signature)

🔐 Authentication Methods

JWT Authentication

Use Authorization: Bearer <jwt_token> header for user authentication.

API Key Authentication

Use Authorization: ApiKey <api_key> header for service-to-service authentication.

API Key Features:

Secure Generation: 32-byte random keys with bcrypt hashing
Prefix Indexing: Fast lookup using key prefixes
Expiration Support: Optional expiration dates
Revocation: Ability to revoke keys without deletion
User Isolation: Users can only manage their own keys
Admin Access: Administrators can manage all keys

Security Notes:

API keys are only shown once upon creation
Store keys securely and never commit them to version control
Use HTTPS in production to protect key transmission
Regularly rotate keys for enhanced security

🔧 Error Handling

All API errors are returned in JSON format:

{
  "code": 401,
  "message": "Token expired",
  "error": "Token expired: token is expired"
}

Common Token Errors

Authorization header is required
Invalid token
Token expired
Token missing required claims
Invalid or expired API key

🔒 Security

JWT authentication for all endpoints
API key authentication for service-to-service communication
Webhook signature verification for secure notifications
Password hashing with bcrypt
API key hashing with bcrypt
User data isolation
Secure random key generation
Automatic webhook retry with exponential backoff

📦 Docker Deployment

Coming soon...

Name		Name	Last commit message	Last commit date
Latest commit History 111 Commits
.github		.github
cmd/server		cmd/server
config		config
internal		internal
migrations		migrations
pkg		pkg
scripts		scripts
.gitignore		.gitignore
.golangci.yml		.golangci.yml
BI_FEATURES.md		BI_FEATURES.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
GITHUB_TAGS.md		GITHUB_TAGS.md
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
README.zh-CN.md		README.zh-CN.md
SEO_OPTIMIZATION.md		SEO_OPTIMIZATION.md
docker-compose.yml		docker-compose.yml
env.example		env.example
go.mod		go.mod
go.sum		go.sum

License

sy-vendor/Gobi

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Gobi - Modern Go-Native Business Intelligence (BI) Engine

✨ Why Gobi?

🎯 Perfect For

🚀 Key Features

🔌 API-First Architecture

📊 Advanced Visualization

🤖 Automation & Scheduling

🔐 Enterprise Security

🏗️ Clean Architecture

⚡ Performance Optimizations

📈 Data Management

🎯 Use Cases

Embedded Analytics

Automated Reporting

API-First Integration

Database Query Optimization

🛠️ Technology Stack

🏗️ Architecture Overview

🚀 Recent Improvements

⚡ Performance Optimizations

🏗️ Architecture Refactoring

🔐 Security Enhancements

📊 Chart Support Expansion

📊 Chart Gallery

🔧 Prerequisites

⚡ Quick Start

🚀 One-Command Setup

🛠️ Development Tools

📦 Docker Quick Start

📋 Configuration

Configuration File

JWT Configuration

🔌 API Endpoints

Authentication

API Key Management

Webhook Management

Dashboard

Data Sources

Queries

Charts

Excel Templates

Report Schedules

Reports

📊 Chart Types

⏰ Cron Expression Guide

Basic Format

Common Examples

🔌 API Usage Examples

Registration

Login

Create API Key

Using API Key Authentication

List API Keys

Revoke API Key

Create Webhook

Test Webhook

List Webhook Deliveries

Create Report Schedule

📊 Webhook Events

Supported Events

Event Payload Format

Webhook Security

Signature Verification

🔐 Authentication Methods

JWT Authentication

API Key Authentication

🔧 Error Handling

Common Token Errors

🔒 Security

📦 Docker Deployment

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