Aqwa Batch Execution Detecting Success Vs Failure

Detecting Success vs. Failure (+2)

Detecting Success vs. Failure

# 1. Check .MES first (most direct failure indicator)
grep -qi "error\|fatal\|abort" analysis.mes && echo "FAILED"

# 2. Check for .RES (produced only on successful Stage 1 completion)
[ -f analysis.res ] || echo "NO RESTART FILE — run failed"

# 3. Check .LIS for completion marker (exact string is version-dependent)
grep -i "analysis complete\|normal termination" analysis.lis

# 4. Count panels processed (sanity check)
grep "TOTAL NUMBER OF PANELS" analysis.lis

Parsing RAOs from .LIS (Python)

import re
from pathlib import Path

def check_lis_success(lis_path: Path) -> bool:
    text = lis_path.read_text(errors="replace")
    if re.search(r"FATAL ERROR|ERROR DETECTED", text, re.IGNORECASE):
        return False
    if re.search(r"ANALYSIS COMPLETE|NORMAL TERMINATION", text, re.IGNORECASE):
        return True
    return False  # inconclusive

def parse_rao_block(lis_path: Path) -> list[dict]:
    """Extract RAO amplitude/phase from AQWA-LINE .LIS (fixed-column format)."""
    text = lis_path.read_text(errors="replace")
    # First RAO section = displacement RAOs; skip velocity/acceleration
    blocks = re.findall(
        r"WAVE FREQUENCY\s*=\s*([\d.]+)(.*?)(?=WAVE FREQUENCY|\Z)",
        text, re.DOTALL
    )
    results = []
    for freq_str, block in blocks:
        rows = re.findall(
            r"([\d.]+)\s+" + r"([\d.]+)\s+([-\d.]+)\s+" * 6,
            block
        )
        results.append({"freq_rad_s": float(freq_str), "rows": rows})
    return results