bench-sdk 0.0.1

//! # bench-sdk 🛠️
//! 
//! The SDK for building AI-powered engineering automation
//! 
//! This is a placeholder crate for the actual Bench SDK that's currently in development.
//! The real SDK will provide actual integration with CAD/CAE tools and the Bench AI platform.
//! Visit https://getbench.ai to learn more!

use std::collections::HashMap;
use std::time::{Duration, SystemTime};
use std::thread;

/// The main SDK client for connecting to Bench AI
pub struct BenchSDK {
    api_key: String,
    connected: bool,
    agents: HashMap<String, Agent>,
    workflows: HashMap<String, Workflow>,
}

impl BenchSDK {
    /// Create a new SDK instance
    pub fn new(api_key: impl Into<String>) -> Self {
        BenchSDK {
            api_key: api_key.into(),
            connected: false,
            agents: HashMap::new(),
            workflows: HashMap::new(),
        }
    }

    /// Connect to the Bench AI platform
    pub fn connect(&mut self) -> Result<(), String> {
        println!("🔌 Connecting to Bench AI platform...");
        thread::sleep(Duration::from_millis(500));
        println!("⚡ Establishing quantum entanglement with CAD tools...");
        thread::sleep(Duration::from_millis(300));
        println!("🛰️  Syncing with engineering multiverse...");
        thread::sleep(Duration::from_millis(300));
        
        self.connected = true;
        println!("✅ Connected to Bench AI!\n");
        Ok(())
    }

    /// Create a new AI agent
    pub fn create_agent(&mut self, config: AgentConfig) -> Agent {
        let agent = Agent::new(config.clone());
        
        println!("🤖 Agent '{}' created with superpowers:", config.name);
        for (i, cap) in config.capabilities.iter().enumerate() {
            if i < 3 {
                println!("   • {}", cap);
            }
        }
        if config.capabilities.len() > 3 {
            println!("   • ... and {} more!", config.capabilities.len() - 3);
        }
        
        self.agents.insert(config.name.clone(), agent.clone());
        agent
    }

    /// Define a new workflow
    pub fn define_workflow(&mut self, name: impl Into<String>, steps: Vec<String>) -> Workflow {
        let workflow = Workflow::new(name.into(), steps);
        self.workflows.insert(workflow.name.clone(), workflow.clone());
        workflow
    }
}

/// Configuration for an AI agent
#[derive(Clone, Debug)]
pub struct AgentConfig {
    pub name: String,
    pub capabilities: Vec<String>,
    pub acceleration_factor: u32,
    pub parallel_universes: u32,
}

impl AgentConfig {
    /// Create a new agent configuration
    pub fn new(name: impl Into<String>) -> Self {
        AgentConfig {
            name: name.into(),
            capabilities: Vec::new(),
            acceleration_factor: 1000,
            parallel_universes: 42,
        }
    }

    /// Add a capability to the agent
    pub fn with_capability(mut self, capability: impl Into<String>) -> Self {
        self.capabilities.push(capability.into());
        self
    }

    /// Set the acceleration factor
    pub fn with_acceleration(mut self, factor: u32) -> Self {
        self.acceleration_factor = factor;
        self
    }
}

/// An AI-powered engineering agent
#[derive(Clone, Debug)]
pub struct Agent {
    config: AgentConfig,
    tasks_completed: u32,
}

impl Agent {
    fn new(config: AgentConfig) -> Self {
        Agent {
            config,
            tasks_completed: 0,
        }
    }

    /// Execute an engineering task
    pub fn execute(&mut self, task: &str) -> TaskResult {
        println!("\n🚀 Agent '{}' executing: {}", self.config.name, task);
        
        let steps = vec![
            "📊 Analyzing requirements...",
            "🧮 Running quantum simulations...",
            "🔧 Optimizing parameters...",
            "✨ Applying AI magic...",
        ];

        for step in &steps {
            println!("   {}", step);
            thread::sleep(Duration::from_millis(200));
        }

        self.tasks_completed += 1;
        let execution_time_ms = 38.5; // Simulated fast execution

        println!("   ✅ Task completed in {:.1}ms!", execution_time_ms);

        TaskResult {
            task: task.to_string(),
            agent: self.config.name.clone(),
            status: "completed".to_string(),
            execution_time_ms,
            acceleration: format!("{}x", self.config.acceleration_factor),
            universes_explored: 27,
            timestamp: SystemTime::now(),
        }
    }

    /// Execute multiple tasks in parallel
    pub fn parallel_execute(&mut self, tasks: Vec<&str>) -> Vec<TaskResult> {
        println!("\n🌌 Initiating parallel execution across {} universes...", tasks.len());
        
        let mut results = Vec::new();
        for task in tasks {
            results.push(self.execute(task));
        }
        
        println!("\n🎉 All {} tasks completed in parallel!", results.len());
        results
    }
}

/// Result of a task execution
#[derive(Debug)]
pub struct TaskResult {
    pub task: String,
    pub agent: String,
    pub status: String,
    pub execution_time_ms: f64,
    pub acceleration: String,
    pub universes_explored: u32,
    pub timestamp: SystemTime,
}

/// An automated engineering workflow
#[derive(Clone, Debug)]
pub struct Workflow {
    name: String,
    steps: Vec<String>,
    executions: u32,
}

impl Workflow {
    fn new(name: String, steps: Vec<String>) -> Self {
        Workflow {
            name,
            steps,
            executions: 0,
        }
    }

    /// Run the workflow with an optional agent
    pub fn run(&mut self, agent: Option<&mut Agent>) -> WorkflowResult {
        println!("\n{}", "=".repeat(60));
        println!("🔄 Running workflow: {}", self.name);
        println!("{}", "=".repeat(60));

        let mut results = Vec::new();
        let mut total_time = 0.0;

        for (i, step) in self.steps.iter().enumerate() {
            println!("\n[Step {}/{}]", i + 1, self.steps.len());
            
            if let Some(agent) = agent.as_ref() {
                let mut agent_clone = (*agent).clone();
                let result = agent_clone.execute(step);
                total_time += result.execution_time_ms;
                results.push(result);
            } else {
                println!("   ⚙️  {}", step);
                thread::sleep(Duration::from_millis(300));
            }
        }

        self.executions += 1;

        println!("\n{}", "=".repeat(60));
        println!("✨ Workflow '{}' completed!", self.name);
        println!("📈 Total execution time: {:.2}ms", total_time);
        println!("🚀 That's {}x faster than traditional methods!", 
                 5000 + (self.executions * 1000));
        println!("{}\n", "=".repeat(60));

        WorkflowResult {
            workflow: self.name.clone(),
            execution: self.executions,
            steps_completed: self.steps.len() as u32,
            total_time_ms: total_time,
        }
    }
}

/// Result of workflow execution
#[derive(Debug)]
pub struct WorkflowResult {
    pub workflow: String,
    pub execution: u32,
    pub steps_completed: u32,
    pub total_time_ms: f64,
}

/// API client for making calls to Bench AI
pub struct APIClient {
    base_url: String,
    api_key: String,
}

impl APIClient {
    /// Create a new API client
    pub fn new(api_key: impl Into<String>) -> Self {
        APIClient {
            base_url: "https://api.getbench.ai/v1".to_string(),
            api_key: api_key.into(),
        }
    }

    /// Simulate an API call
    pub fn call(&self, method: &str, endpoint: &str, data: HashMap<String, String>) -> APIResponse {
        println!("[{}] {}", method, endpoint);
        println!("   Request: {{");
        for (key, value) in &data {
            println!("      \"{}\": \"{}\"", key, value);
        }
        println!("   }}");
        
        thread::sleep(Duration::from_millis(300));
        
        let response = APIResponse {
            status: "success".to_string(),
            data: HashMap::from([
                ("id".to_string(), format!("bench_{}", 1000 + data.len())),
                ("message".to_string(), "Operation completed successfully".to_string()),
            ]),
        };
        
        println!("   Response: {{");
        println!("      \"status\": \"{}\"", response.status);
        for (key, value) in &response.data {
            println!("      \"{}\": \"{}\"", key, value);
        }
        println!("   }}\n");
        
        response
    }
}

/// Response from API calls
#[derive(Debug)]
pub struct APIResponse {
    pub status: String,
    pub data: HashMap<String, String>,
}

/// Quick start demonstration
pub fn quickstart() {
    println!("\n{}", "=".repeat(70));
    println!("🚀 BENCH SDK - Quick Start Demo");
    println!("{}\n", "=".repeat(70));

    // Initialize SDK
    let mut sdk = BenchSDK::new("your-api-key-here");
    sdk.connect().unwrap();

    // Create an AI agent
    let config = AgentConfig::new("TurboEngineer")
        .with_capability("CAD automation")
        .with_capability("FEA simulation")
        .with_capability("Generative design")
        .with_capability("Topology optimization")
        .with_capability("Manufacturing planning");
    
    let mut agent = sdk.create_agent(config);

    // Define a workflow
    let mut workflow = sdk.define_workflow(
        "complete_product_design",
        vec![
            "Generate initial CAD geometry".to_string(),
            "Run structural analysis".to_string(),
            "Optimize for manufacturing".to_string(),
            "Validate performance metrics".to_string(),
            "Generate technical drawings".to_string(),
        ]
    );

    // Run the workflow
    workflow.run(Some(&mut agent));

    println!("\n🎯 Ready to build your own engineering automation?");
    println!("   Visit https://getbench.ai to get started!\n");
}

/// Demonstrate API functionality
pub fn demo_api() {
    println!("\n📡 Simulating Bench SDK API calls...\n");
    
    let client = APIClient::new("demo-api-key");
    
    let endpoints = vec![
        ("POST", "/agents/create", HashMap::from([
            ("name".to_string(), "OptimizationBot".to_string()),
            ("type".to_string(), "cad_optimizer".to_string()),
        ])),
        ("GET", "/workflows/list", HashMap::from([
            ("limit".to_string(), "5".to_string()),
        ])),
        ("POST", "/simulations/run", HashMap::from([
            ("model".to_string(), "heat_exchanger".to_string()),
            ("iterations".to_string(), "1000".to_string()),
        ])),
    ];
    
    for (method, endpoint, data) in endpoints {
        client.call(method, endpoint, data);
    }
    
    println!("✅ All API calls successful!\n");
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_sdk_creation() {
        let sdk = BenchSDK::new("test-key");
        assert!(!sdk.connected);
    }

    #[test]
    fn test_agent_config() {
        let config = AgentConfig::new("TestAgent")
            .with_capability("CAD")
            .with_acceleration(2000);
        assert_eq!(config.name, "TestAgent");
        assert_eq!(config.capabilities.len(), 1);
        assert_eq!(config.acceleration_factor, 2000);
    }

    #[test]
    fn test_api_client() {
        let client = APIClient::new("test-key");
        let data = HashMap::new();
        let response = client.call("GET", "/test", data);
        assert_eq!(response.status, "success");
    }
}