"""
bench-ai: Accelerating engineering workflows at the speed of thought 🚀
"""

__version__ = "0.0.1"

import random
import time
from typing import List, Dict, Any

class WorkflowAccelerator:
    """The core engine that makes your workflows go BRRRRR"""
    
    def __init__(self):
        self.acceleration_factor = 1000
        self.workflows_optimized = 0
        self.time_saved_days = 0
        
    def optimize(self, workflow_name: str = "generic_workflow") -> Dict[str, Any]:
        """
        Optimize any engineering workflow with the power of AI*
        
        *AI may contain traces of random number generation
        """
        print(f"🔧 Analyzing workflow: {workflow_name}")
        time.sleep(0.5)
        
        optimization_steps = [
            "🤖 Deploying AI agents...",
            "⚡ Parallelizing design iterations...",
            "🎯 Optimizing CAD parameters...",
            "🔄 Automating revision cycles...",
            "📊 Crunching performance metrics...",
        ]
        
        for step in optimization_steps:
            print(step)
            time.sleep(0.2)
        
        original_time = random.randint(5, 30)
        optimized_time = max(1, original_time // self.acceleration_factor)
        time_saved = original_time - optimized_time
        
        self.workflows_optimized += 1
        self.time_saved_days += time_saved
        
        result = {
            "workflow": workflow_name,
            "original_time_days": original_time,
            "optimized_time_minutes": optimized_time * 1440,  # Convert to minutes
            "acceleration": f"{self.acceleration_factor}x",
            "time_saved_days": time_saved,
            "total_workflows_optimized": self.workflows_optimized,
            "total_time_saved_days": self.time_saved_days,
        }
        
        print(f"\n✅ Workflow optimized!")
        print(f"⏱️  Time reduced from {original_time} days to {optimized_time * 1440} minutes")
        print(f"🚀 That's a {self.acceleration_factor}x speedup!")
        
        return result

class DesignSpaceExplorer:
    """Explore infinite design possibilities in parallel universes"""
    
    def __init__(self):
        self.universes_explored = 0
        
    def explore(self, num_scenarios: int = 100) -> List[str]:
        """
        Explore design scenarios across parallel universes
        """
        print(f"🌌 Initializing multiverse design explorer...")
        time.sleep(0.3)
        
        design_adjectives = ["optimal", "revolutionary", "quantum", "turbocharged", 
                           "next-gen", "paradigm-shifting", "disruptive", "synergistic"]
        design_nouns = ["solution", "architecture", "topology", "configuration", 
                       "geometry", "assembly", "mechanism", "system"]
        
        results = []
        print(f"🔮 Exploring {num_scenarios} parallel design scenarios...")
        
        for i in range(min(num_scenarios, 5)):  # Show first 5 for fun
            adj = random.choice(design_adjectives)
            noun = random.choice(design_nouns)
            score = random.uniform(85, 99.9)
            result = f"  Universe #{i+1}: {adj.capitalize()} {noun} (Score: {score:.1f}%)"
            results.append(result)
            print(result)
            time.sleep(0.1)
        
        if num_scenarios > 5:
            print(f"  ... and {num_scenarios - 5} more universes!")
        
        self.universes_explored += num_scenarios
        print(f"\n🎉 Total universes explored: {self.universes_explored}")
        
        return results

def benchmark() -> None:
    """
    Run a quick benchmark to show the power of Bench AI
    """
    print("\n" + "="*60)
    print("🏁 BENCH AI - Engineering Workflow Acceleration Benchmark")
    print("="*60 + "\n")
    
    accelerator = WorkflowAccelerator()
    explorer = DesignSpaceExplorer()
    
    workflows = [
        "thermal_analysis_simulation",
        "structural_optimization_loop",
        "cfd_mesh_generation",
        "tolerance_stack_analysis",
        "fatigue_life_prediction"
    ]
    
    print("📋 Benchmarking typical engineering workflows...\n")
    
    for workflow in random.sample(workflows, 3):
        accelerator.optimize(workflow)
        print("-" * 40)
    
    print("\n🌟 Exploring design space...")
    explorer.explore(42)
    
    print("\n" + "="*60)
    print("📈 BENCHMARK COMPLETE!")
    print(f"⚡ Total workflows optimized: {accelerator.workflows_optimized}")
    print(f"⏰ Total engineering time saved: {accelerator.time_saved_days} days")
    print(f"🌌 Design universes explored: {explorer.universes_explored}")
    print("="*60)
    print("\n🎯 Ready to accelerate YOUR engineering workflows?")
    print("   Visit https://getbench.ai to get started!\n")

def hello() -> str:
    """
    A simple greeting from the future of engineering
    """
    greetings = [
        "🚀 Welcome to the future of engineering workflows!",
        "⚡ Ready to make your CAD go BRRRRR?",
        "🤖 AI agents standing by for workflow domination!",
        "🔧 Time to turn days into minutes!",
        "🎯 Bench AI: Because manually iterating is so 2023",
    ]
    return random.choice(greetings)

__all__ = ['WorkflowAccelerator', 'DesignSpaceExplorer', 'benchmark', 'hello', '__version__']