""" Command Line Interface for SocrateAI Numeric Dual-Scale Solver. """ import argparse import sys from pathlib import Path import numpy as np from dualscale_solver.cert.certificate_generator import ( generate_verification_certificate, save_certificate, ) from dualscale_solver.numeric.dyadic_cascade import DyadicShellSolver from dualscale_solver.numeric.fourier_spectral import PseudoSpectralNavierStokes2D def cmd_verify(args: argparse.Namespace) -> int: """Run exact verification and generate audit certificate.""" print("================================================================================") print(" SocrateAI Dual-Scale Solver: Tier B Exact Rational Verification") print("================================================================================") cert = generate_verification_certificate() print(f" Certificate ID : {cert['certificate_id']}") print(f" Epistemic Tier : {cert['epistemic_tier']}") print(f" Status : {cert['status']}") print(f" Claims Checked : {len(cert['claims_verified'])}") print(f" Negative Ctrl : {cert['negative_controls']}") if args.output: out_path = Path(args.output) save_certificate(cert, out_path) print(f" Certificate saved to: {out_path.resolve()}") return 0 if cert["status"] == "PASSED" else 1 def cmd_dyadic(args: argparse.Namespace) -> int: """Run dyadic shell cascade simulation.""" print(f"Running Dyadic Shell Model: shells={args.shells}, nu={args.nu}, alpha_prime={args.alpha_prime}") solver = DyadicShellSolver( n_shells=args.shells, nu=args.nu, alpha_prime=args.alpha_prime, ) u0 = np.zeros(args.shells) u0[0] = 1.0 u0[1] = 0.5 result = solver.solve(t_span=(0.0, args.time), u0=u0, dt=args.dt) e0, e_final = result["energy"][0], result["energy"][-1] om_max = float(np.max(result["enstrophy"])) print(f" Initial Energy : {e0:.6e}") print(f" Final Energy : {e_final:.6e}") print(f" Peak Enstrophy : {om_max:.6e}") print(" Dyadic simulation completed successfully.") return 0 def cmd_spectral(args: argparse.Namespace) -> int: """Run 2D pseudo-spectral Taylor-Green vortex simulation.""" print(f"Running 2D Pseudo-Spectral NS: grid={args.grid}x{args.grid}, nu={args.nu}, alpha_prime={args.alpha_prime}") solver = PseudoSpectralNavierStokes2D( n_grid=args.grid, nu=args.nu, alpha_prime=args.alpha_prime, ) u0_hat = solver.initialize_taylor_green() result = solver.solve(t_span=(0.0, args.time), u_hat0=u0_hat, dt=args.dt) max_div = float(np.max(result["max_divergences"])) e0, e_final = result["energy"][0], result["energy"][-1] print(f" Max |div(u)| : {max_div:.3e} (Machine Precision)") print(f" Initial Energy : {e0:.6e}") print(f" Final Energy : {e_final:.6e}") print(" Spectral simulation completed successfully.") return 0 from dualscale_solver.agents.phase8_workflow_orchestrator import run_phase8_pipeline import json def cmd_workflow8(args: argparse.Namespace) -> int: """Run Phase 8 Autonomous Industrial Productization Pipeline (Workflow 8).""" print("================================================================================") print(" SocrateAI LeanFlow: Phase 8 Industrial Workflow 8 Autonomous Pipeline") print("================================================================================") cert = run_phase8_pipeline() print(f" Certificate ID : {cert['certificate_id']}") print(f" Overall Status : {cert['overall_status']}") print(f" Epistemic Tier : {cert['epistemic_tier']}") print(f" SHA-256 Hash : {cert['sha256_hash']}") print(f" Invariants : {len(cert['invariants_verified'])} Verified") print(f" Negative Ctrls : {len(cert['negative_controls'])} Rejections Verified") if args.output: out_path = Path(args.output) out_path.parent.mkdir(parents=True, exist_ok=True) with open(out_path, "w", encoding="utf-8") as f: json.dump(cert, f, indent=2) print(f" Certificate saved to: {out_path.resolve()}") return 0 if cert["overall_status"] == "CERTIFIED" else 1 from dualscale_solver.agents.phase9_workflow_orchestrator import run_phase9_pipeline def cmd_workflow9(args: argparse.Namespace) -> int: """Run Phase 9 Autonomic Resilience & Recursive Optimization Pipeline (Workflow 9).""" print("================================================================================") print(" SocrateAI LeanFlow: Phase 9 Autonomic Resilience & Recursive Optimization") print("================================================================================") cert = run_phase9_pipeline() print(f" Certificate ID : {cert['certificate_id']}") print(f" Overall Status : {cert['overall_status']}") print(f" SHA-256 Hash : {cert['sha256_hash']}") print(f" Invariants : {len(cert['invariants_verified'])} Verified") print(f" Negative Ctrls : {len(cert['negative_controls'])} Rejections Verified") if args.output: out_path = Path(args.output) out_path.parent.mkdir(parents=True, exist_ok=True) with open(out_path, "w", encoding="utf-8") as f: json.dump(cert, f, indent=2) print(f" Certificate saved to: {out_path.resolve()}") return 0 if cert["overall_status"] == "CERTIFIED" else 1 from dualscale_solver.agents.phase10_workflow_orchestrator import run_phase10_pipeline def cmd_workflow10(args: argparse.Namespace) -> int: """Run Phase 10 Enterprise AI, Real-Time Edge & OpenFOAM Supremacy (Workflow 10).""" print("================================================================================") print(" SocrateAI LeanFlow: Phase 10 Enterprise AI & OpenFOAM Supremacy") print("================================================================================") cert = run_phase10_pipeline() print(f" Certificate ID : {cert['certificate_id']}") print(f" Overall Status : {cert['overall_status']}") print(f" SHA-256 Hash : {cert['sha256_hash']}") print(f" Invariants : {len(cert['invariants_verified'])} Verified") print(f" Negative Ctrls : {len(cert['negative_controls'])} Rejections Verified") if args.output: out_path = Path(args.output) out_path.parent.mkdir(parents=True, exist_ok=True) with open(out_path, "w", encoding="utf-8") as f: json.dump(cert, f, indent=2) print(f" Certificate saved to: {out_path.resolve()}") return 0 if cert["overall_status"] == "CERTIFIED" else 1 from dualscale_solver.agents.phase11_workflow_orchestrator import Phase11HyperscaleOrchestrator def cmd_workflow11(args: argparse.Namespace) -> int: """Run Phase 11 Enterprise Hyperscale & Critical Systems (Workflow 11).""" orchestrator = Phase11HyperscaleOrchestrator() report = orchestrator.execute_workflow() return 0 if report["certificate"]["overall_status"] == "CERTIFIED" else 1 from dualscale_solver.agents.phase12_workflow_orchestrator import run_phase12_pipeline def cmd_workflow12(args: argparse.Namespace) -> int: """Run Phase 12 Autonomous Auto-Research Loop & Industrial Workflows (Workflow 12).""" print("================================================================================") print(" SocrateAI LeanFlow: Phase 12 Karpathy Auto-Research Loop & Industrial Workflows") print("================================================================================") report = run_phase12_pipeline() cert = report["certificate"] print(f" Certificate ID : {cert['certificate_id']}") print(f" Overall Status : {cert['overall_status']}") print(f" SHA-256 Hash : {cert['sha256_hash']}") if args.output: out_path = Path(args.output) out_path.parent.mkdir(parents=True, exist_ok=True) with open(out_path, "w", encoding="utf-8") as f: json.dump(report, f, indent=2) print(f" Certificate saved to: {out_path.resolve()}") return 0 if cert["overall_status"] == "CERTIFIED" else 1 def main() -> None: parser = argparse.ArgumentParser( prog="dualscale-solver", description="SocrateAI Numeric Dual-Scale PDE Solver and Invariant Verifier", ) subparsers = parser.add_subparsers(dest="command", help="Available subcommands") # Subcommand: verify p_verify = subparsers.add_parser("verify", help="Run exact Tier B verification & produce certificate") p_verify.add_argument("--output", "-o", type=str, default="data/verification_cert.json", help="Path to output certificate") p_verify.set_defaults(func=cmd_verify) # Subcommand: workflow8 p_wf8 = subparsers.add_parser("workflow8", help="Run Phase 8 Autonomous Industrial Productization Pipeline (Workflow 8)") p_wf8.add_argument("--output", "-o", type=str, default="data/cert_phase8_workflow.json", help="Path to output certificate") p_wf8.set_defaults(func=cmd_workflow8) # Subcommand: workflow9 p_wf9 = subparsers.add_parser("workflow9", help="Run Phase 9 Autonomic Resilience & Recursive Optimization") p_wf9.add_argument("--output", "-o", type=str, default="data/cert_phase9_workflow.json", help="Path to output certificate") p_wf9.set_defaults(func=cmd_workflow9) # Subcommand: workflow10 p_wf10 = subparsers.add_parser("workflow10", help="Run Phase 10 Enterprise AI, Real-Time Edge & OpenFOAM Supremacy") p_wf10.add_argument("--output", "-o", type=str, default="data/cert_phase10_workflow.json", help="Path to output certificate") p_wf10.set_defaults(func=cmd_workflow10) # Subcommand: workflow11 p_wf11 = subparsers.add_parser("workflow11", help="Run Phase 11 Enterprise Hyperscale & Critical Systems") p_wf11.set_defaults(func=cmd_workflow11) # Subcommand: workflow12 p_wf12 = subparsers.add_parser("workflow12", help="Run Phase 12 Autonomous Auto-Research Loop & Industrial Workflows") p_wf12.add_argument("--output", "-o", type=str, default="data/cert_phase12_workflow.json", help="Path to output certificate") p_wf12.set_defaults(func=cmd_workflow12) # Subcommand: dyadic p_dyadic = subparsers.add_parser("dyadic", help="Run dyadic shell cascade simulation") p_dyadic.add_argument("--shells", type=int, default=20, help="Number of dyadic shells") p_dyadic.add_argument("--nu", type=float, default=1e-3, help="Kinematic viscosity") p_dyadic.add_argument("--alpha-prime", type=float, default=0.01, help="Dual-scale cutoff alpha'") p_dyadic.add_argument("--time", type=float, default=1.0, help="Simulation duration") p_dyadic.add_argument("--dt", type=float, default=0.001, help="Time step") p_dyadic.set_defaults(func=cmd_dyadic) # Subcommand: spectral p_spectral = subparsers.add_parser("spectral", help="Run 2D pseudo-spectral Taylor-Green simulation") p_spectral.add_argument("--grid", type=int, default=64, help="Grid size N") p_spectral.add_argument("--nu", type=float, default=1e-3, help="Kinematic viscosity") p_spectral.add_argument("--alpha-prime", type=float, default=0.01, help="Dual-scale cutoff alpha'") p_spectral.add_argument("--time", type=float, default=0.5, help="Simulation duration") p_spectral.add_argument("--dt", type=float, default=0.005, help="Time step") p_spectral.set_defaults(func=cmd_spectral) args = parser.parse_args() if not hasattr(args, "func"): parser.print_help() sys.exit(1) sys.exit(args.func(args)) if __name__ == "__main__": main()