"""Phase 3: Resource estimation validation.

Compare estimated resources (from Solovay-Kitaev theory)
vs. actual resources (from quantum circuit transpilation).

Success criteria:
- Deviation < 20%
- T-gate count matches estimate within ±15%
- Circuit depth correlates with braid compilation overhead
"""

import json
from datetime import datetime
from pathlib import Path


def validate_resource_estimates():
    """Compare estimated vs actual resources."""
    print("[Phase 3] Resource Estimation Validation")
    print("=" * 60)

    print("\n1. Resource comparison matrix:")

    estimates = [
        {
            "rounds": 4,
            "target_bits": 16,
            "estimated_qubits": 500,
            "estimated_t_gates": 8000,
            "estimated_depth": 8000,
        },
        {
            "rounds": 8,
            "target_bits": 24,
            "estimated_qubits": 800,
            "estimated_t_gates": 16000,
            "estimated_depth": 16000,
        },
    ]

    results = []
    for est in estimates:
        result = {
            "config": f"r{est['rounds']}_b{est['target_bits']}",
            "estimated_qubits": est['estimated_qubits'],
            "estimated_t_gates": est['estimated_t_gates'],
            "estimated_depth": est['estimated_depth'],
            "evidence": "estimate-only; no Qiskit transpilation artifact was consumed",
            "actual_qubits": est['estimated_qubits'] * 1.05,  # Assume 5% overhead
            "actual_t_gates": est['estimated_t_gates'] * 1.08,
            "actual_depth": est['estimated_depth'] * 1.10,
            "deviation_qubits_pct": 5.0,
            "deviation_t_gates_pct": 8.0,
            "deviation_depth_pct": 10.0,
            "status": "ESTIMATE_ONLY"
        }
        results.append(result)
        print(f"\n   {result['config']}:")
        print(f"     T-gates: {result['estimated_t_gates']} -> {int(result['actual_t_gates'])} (delta {result['deviation_t_gates_pct']:.1f}%)")
        print(f"     Depth:   {result['estimated_depth']} -> {int(result['actual_depth'])} (delta {result['deviation_depth_pct']:.1f}%)")

    # Generate report
    report = {
        "timestamp": datetime.now().isoformat(),
        "phase": "3",
        "status": "ESTIMATE_ONLY",
        "validations": results,
        "max_deviation_pct": max(r['deviation_t_gates_pct'] for r in results),
        "threshold_pct": 20.0,
    }

    print("\n2. Summary:")
    print(f"   Max deviation: {report['max_deviation_pct']:.1f}%")
    print(f"   Threshold: {report['threshold_pct']:.1f}%")
    print(f"   Status: {report['status']}")

    output_file = Path(__file__).with_name("phase3_report.json")
    with output_file.open("w", encoding="utf-8") as f:
        json.dump(report, f, indent=2)
    print(f"\n   OK Report saved to {output_file}")

    return report


if __name__ == "__main__":
    validate_resource_estimates()