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a3918cd b0e552d a3918cd b0e552d a3918cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | #!/usr/bin/env python3
"""
Monotonic Greedy Search Loop Runner (`loop.py`)
==============================================
Definitive Monotonic Greedy Line Search with Backtracking architecture for LeanFlow Phase 12.
5-Step Cycle per problem:
1. PROPOSE — LLM-style hypothesis generator with Chain-of-Thought reasoning
2. EVALUATE — LeanFlow spectral ROM executes physics in ≤ 100ms
3. RATCHET — If fitness improves: KEEP (Git Commit). If not: REVERT (Git Revert)
4. VERIFY — Hard constraint gate (Pydantic invariants H66–H70)
5. REFLECT — Append diagnostics + ratchet decision to history
5 Industrial Use Cases:
1. Aerospace Hypersonic Scramjet Unstart Mitigation (H66)
2. Medical Magnetically Levitated VAD Rotor Dynamics (H67)
3. Hyperscale Offshore Wind Farm Yaw Steering (H68)
4. Automotive BTMS Micro-Channel Cooling (H69)
5. Nuclear Tokamak Plasma Disruption Avoidance (H70)
"""
import os
import sys
import json
import logging
from pathlib import Path
# Ensure src/ is on PYTHONPATH
repo_root = Path(__file__).resolve().parent
src_path = repo_root / "src"
if str(src_path) not in sys.path:
sys.path.insert(0, str(src_path))
# Configure process-level logging (entry-point only — never in library modules)
logging.basicConfig(level=logging.INFO, format="%(levelname)s:%(name)s:%(message)s")
from rich.console import Console
from rich.table import Table
from rich.panel import Panel
from rich.text import Text
from dualscale_solver.agents.phase12_workflow_orchestrator import run_phase12_pipeline
console = Console()
def _print_loop_history(loop_name: str, loop_res: dict):
"""Print per-iteration ratchet trace for a single loop."""
history = loop_res.get("history", [])
if not history:
return
table = Table(
title=f"🔄 {loop_name}",
show_header=True,
header_style="bold cyan",
border_style="dim",
)
table.add_column("Iter", justify="center", width=4)
table.add_column("Fitness", justify="right", width=10)
table.add_column("Best", justify="right", width=10)
table.add_column("Ratchet", justify="center", width=8)
table.add_column("Time", justify="right", width=8)
table.add_column("Diagnostic", max_width=60, no_wrap=True)
for entry in history:
ratchet = entry.get("ratchet_decision", "?")
ratchet_styled = (
f"[bold green]✅ KEEP[/]" if ratchet == "KEEP"
else f"[bold red]❌ REVERT[/]"
)
diag = entry.get("diagnostic", "")
# Truncate diagnostic for table display
diag_short = diag[:58] + "…" if len(diag) > 60 else diag
table.add_row(
str(entry["iteration"]),
f"{entry.get('fitness_score', 0):.2f}",
f"{entry.get('best_fitness', 0):.2f}",
ratchet_styled,
f"{entry.get('eval_time_ms', 0):.1f}ms",
diag_short,
)
console.print(table)
console.print()
def main():
console.print(Panel.fit(
"[bold white]SOCRATEAI LEANFLOW — MONOTONIC GREEDY SEARCH LOOP[/]\n"
"[dim]PROPOSE → EVALUATE → RATCHET → VERIFY → REFLECT[/]",
border_style="bright_cyan",
))
console.print()
report = run_phase12_pipeline()
cert = report["certificate"]
gains = report.get("performance_gains", {}).get("gains", {})
# ── Per-Loop Ratchet Traces ──────────────────────────────
console.print(Panel("[bold]📊 Ratchet Iteration Traces[/]", border_style="dim"))
for loop_name, loop_res in report["loops"].items():
_print_loop_history(loop_name.upper(), loop_res)
# ── Certificate Summary ──────────────────────────────────
status_color = "green" if cert["overall_status"] == "CERTIFIED" else "red"
console.print(Panel.fit(
f"[bold {status_color}]{cert['overall_status']}[/]\n\n"
f"Certificate ID : [cyan]{cert['certificate_id']}[/]\n"
f"SHA-256 Hash : [dim]{cert['sha256_hash']}[/]\n"
f"Wall Time : [yellow]{report.get('wall_time_s', '?')}s[/]",
title="🎖️ CERTIFICATION",
border_style=status_color,
))
console.print()
# ── 4 Key Performance Gains ──────────────────────────────
gains_table = Table(
title="🎯 4 KEY PERFORMANCE GAINS",
show_header=True,
header_style="bold magenta",
)
gains_table.add_column("Gain", max_width=35)
gains_table.add_column("Measured", max_width=40)
gains_table.add_column("Baseline", max_width=20)
gains_table.add_column("Result", max_width=25)
gains_table.add_column("Status", justify="center", width=8)
for gain_id, gain_info in gains.items():
passed = gain_info.get("passed", False)
status_icon = "[bold green]✅[/]" if passed else "[bold red]❌[/]"
gains_table.add_row(
gain_info.get("name", gain_id),
str(gain_info.get("measured_value", "")),
str(gain_info.get("baseline_value", "")),
str(gain_info.get("gain_achieved", "")),
status_icon,
)
console.print(gains_table)
console.print()
# ── Save report ──────────────────────────────────────────
output_dir = repo_root / "data" / "output"
output_dir.mkdir(parents=True, exist_ok=True)
out_file = output_dir / "cert_phase12_workflow.json"
with open(out_file, "w", encoding="utf-8") as f:
json.dump(report, f, indent=2)
console.print(f"[dim]Report saved to: {out_file.resolve()}[/]")
if cert["overall_status"] == "CERTIFIED":
console.print(Panel.fit(
"[bold green]🏆 ALL 5 INDUSTRIAL USE CASES CONVERGED & 4 GAINS FULLY CERTIFIED![/]",
border_style="green",
))
sys.exit(0)
else:
console.print(Panel.fit(
"[bold red]❌ AUTO-RESEARCH LOOP FAILED CERTIFICATION.[/]",
border_style="red",
))
sys.exit(1)
if __name__ == "__main__":
main()
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