import XCTest
@testable import MarkBase

final class VisionQuickTest: XCTestCase {
    
    func test12BVisionQuickLoad() throws {
        print("\n═══════════════════════════════════════")
        print("  12B Vision QUICK Load Test")
        print("═══════════════════════════════════════\n")
        
        let modelDir = "/Users/accusys/.cache/huggingface/hub/models--mlx-community--gemma-4-12B-it-4bit/snapshots/73bcf09092aa277861d5a191b989b666f7f32e8f"
        
        print("Step 1: Create engine...")
        let engine = try MarkBaseEngine(autoCompile: true)
        print("  ✓ Engine created")
        
        print("\nStep 2: Load VisionTower12B...")
        let loadStart = Date()
        let visionTower = try VisionTower12B.load(modelDir: modelDir, engine: engine)
        let loadTime = Date().timeIntervalSince(loadStart) * 1000
        
        print("  ✓ Vision tower loaded in \(loadTime) ms")
        print("  Config: hiddenDim=\(visionTower.hiddenDim), patchDim=\(visionTower.patchDim)")
        
        print("\nStep 3: Generate synthetic patches...")
        let numPatches = 256
        var patches: [Float] = []
        for _ in 0..<numPatches * visionTower.patchDim {
            patches.append(Float.random(in: -0.5...0.5))
        }
        
        print("\nStep 4: Process vision forward pass...")
        let patchBuffer = engine.device.makeBuffer(bytes: patches, length: patches.count * 4)!
        let outputBuffer = engine.device.makeBuffer(length: numPatches * visionTower.outputDim * 4)!
        
        let forwardStart = Date()
        try visionTower.forward(patchEmbeddings: patchBuffer, numPatches: numPatches, outputBuffer: outputBuffer)
        let forwardTime = Date().timeIntervalSince(forwardStart) * 1000
        
        let ptr = outputBuffer.contents().assumingMemoryBound(to: Float.self)
        let output = Array(UnsafeBufferPointer(start: ptr, count: numPatches * visionTower.outputDim))
        
        print("  ✓ Forward pass completed in \(forwardTime) ms")
        print("  Output shape: [\(numPatches), \(visionTower.outputDim)]")
        print("  Range: [\(output.min() ?? 0), \(output.max() ?? 0)]")
        print("  NaN count: \(output.filter { $0.isNaN }.count)")
        
        XCTAssertFalse(output.contains { $0.isNaN }, "Vision output should not have NaN")
        
        print("\n═══════════════════════════════════════")
        print("✓ Full vision test passed - no TEXT model")
        print("  Load: \(loadTime) ms, Forward: \(forwardTime) ms")
        print("═══════════════════════════════════════\n")
    }
}