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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()
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