#!/usr/bin/env python3 from __future__ import annotations import ast import csv import math import re import subprocess from pathlib import Path ROOT = Path("/home/user/Desktop") CASE = ROOT / "heat" def read(path: Path) -> str: return path.read_text(encoding="utf-8", errors="ignore") def named_block(text: str, name: str) -> str: text = re.sub(r"/\*.*?\*/|//[^\n]*", "", text, flags=re.S) match = re.search(rf"(?m)^\s*{re.escape(name)}\s*\{{", text) if not match: raise ValueError(f"missing block {name}") start = text.find("{", match.start()) depth = 0 for index in range(start, len(text)): depth += text[index] == "{" depth -= text[index] == "}" if depth == 0: return text[start + 1 : index] raise ValueError(f"unterminated block {name}") def has_entry(block: str, key: str, value: str) -> bool: return re.search(rf"(? bool: return math.isfinite(actual) and abs(actual - expected) <= tolerance def python_script_is_valid(path: Path, required_fragments: tuple[str, ...]) -> bool: text = read(path) try: tree = ast.parse(text) except SyntaxError: return False return bool(tree.body) and all(fragment in text for fragment in required_fragments) def completed_log(path: Path, required_fragment: str | None = None) -> bool: text = read(path) lines = [line.strip() for line in text.splitlines() if line.strip()] return ( bool(lines) and lines[-1] == "End" and "FOAM FATAL" not in text and (required_fragment is None or required_fragment in text) ) def patch(text: str, name: str) -> str: return named_block(named_block(text, "boundaryField"), name) def face_count(block: str) -> int: match = re.search(r"\bfaces\s*\((.*?)\)\s*;", block, re.S) return len(re.findall(r"\([^()]+\)", match.group(1))) if match else 0 def internal_field(path: Path, kind: str) -> list: text = read(path) header = named_block(text, "FoamFile") match = re.search( rf"internalField\s+nonuniform\s+List<{kind}>\s+(\d+)\s*\((.*?)\)\s*;", text, re.S, ) if not match: raise ValueError(f"missing {kind} field") if kind == "vector": values = [ tuple(float(value) for value in item.split()) for item in re.findall(r"\(([^()]+)\)", match.group(2)) ] valid_values = all( len(value) == 3 and all(math.isfinite(item) for item in value) for value in values ) elif kind == "scalar": values = [float(value) for value in match.group(2).split()] valid_values = all(math.isfinite(value) for value in values) else: raise ValueError(f"unsupported field kind {kind}") if ( len(values) != int(match.group(1)) or not values or not valid_values or not has_entry(header, "format", r"ascii") or not has_entry(header, "class", rf"vol{kind.capitalize()}Field") or not has_entry(header, "object", re.escape(path.name)) ): raise ValueError(f"invalid {kind} field") return values def nearest_cell(centres: list[tuple[float, float, float]], x: float, y: float) -> int: return min( range(len(centres)), key=lambda index: ( (centres[index][0] - x) ** 2 + (centres[index][1] - y) ** 2, centres[index][0], centres[index][1], centres[index][2], ), ) def check_case() -> bool: mesh = read(CASE / "system/blockMeshDict") initial = read(CASE / "0/T") physical = read(CASE / "constant/physicalProperties") control = read(CASE / "system/controlDict") schemes = read(CASE / "system/fvSchemes") return all( ( "(1 0.5 0)" in mesh, "(200 20 1)" in mesh, has_entry(named_block(mesh, "hot"), "type", r"wall"), face_count(named_block(mesh, "hot")) == 1, has_entry(named_block(mesh, "cold"), "type", r"wall"), face_count(named_block(mesh, "cold")) == 1, has_entry(named_block(mesh, "adiabatic"), "type", r"wall"), face_count(named_block(mesh, "adiabatic")) == 2, has_entry(named_block(mesh, "frontAndBack"), "type", r"empty"), face_count(named_block(mesh, "frontAndBack")) == 2, re.search(r"\binternalField\s+uniform\s+350(?:\.0+)?\s*;", initial) is not None, has_entry(patch(initial, "hot"), "value", r"uniform\s+400(?:\.0+)?"), has_entry(patch(initial, "cold"), "value", r"uniform\s+300(?:\.0+)?"), has_entry(patch(initial, "adiabatic"), "type", r"zeroGradient"), has_entry(patch(initial, "frontAndBack"), "type", r"empty"), "DT DT [0 2 -1 0 0 0 0] 0.01;" in physical, re.search(r"\bendTime\s+50\s*;", control) is not None, re.search(r"\bdeltaT\s+0\.05\s*;", control) is not None, re.search(r"\bwriteControl\s+runTime\s*;", control) is not None, re.search(r"\bwriteInterval\s+50(?:\.0+)?\s*;", control) is not None, re.search(r"\bwriteFormat\s+ascii\s*;", control) is not None, has_entry(named_block(schemes, "ddtSchemes"), "default", r"Euler"), "laplacian(DT,T) Gauss linear corrected;" in schemes, ) ) def check() -> bool: required = ( ROOT / "build_case.py", ROOT / "postprocess.py", ROOT / "summary.txt", ROOT / "temperature_profile.csv", CASE / "log.blockMesh", CASE / "log.laplacianFoam", CASE / "log.cellCentres", CASE / "50/C", CASE / "50/T", ) if any(not path.is_file() or path.stat().st_size == 0 for path in required): return False if not python_script_is_valid( ROOT / "build_case.py", ("heat", "blockMeshDict", "physicalProperties", "laplacianFoam", "0/T"), ): return False if not python_script_is_valid( ROOT / "postprocess.py", ("heat", "50/C", "50/T", "temperature_profile.csv", "summary.txt"), ): return False if not all( ( completed_log(CASE / "log.blockMesh"), completed_log(CASE / "log.laplacianFoam", "Time = 50"), completed_log(CASE / "log.cellCentres"), ) ): return False mesh_check = subprocess.run( ["bash", "-lc", ". /opt/openfoam11/etc/bashrc && checkMesh -case /home/user/Desktop/heat"], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, timeout=120, ) if mesh_check.returncode != 0 or "Mesh OK." not in mesh_check.stdout or not check_case(): return False centres = internal_field(CASE / "50/C", "vector") temperature = internal_field(CASE / "50/T", "scalar") if len(centres) != 4000 or len(temperature) != 4000: return False theoretical = [400.0 - 100.0 * centre[0] for centre in centres] rms_error = math.sqrt(sum((value - theory) ** 2 for value, theory in zip(temperature, theoretical)) / len(temperature)) if rms_error > 1.0: return False target_a = nearest_cell(centres, 0.25, 0.25) target_b = nearest_cell(centres, 0.75, 0.25) if max(abs(centres[target_a][0] - 0.25), abs(centres[target_b][0] - 0.75)) > 0.006: return False centerline_y = min({centre[1] for centre in centres}, key=lambda value: (abs(value - 0.25), value)) centerline = sorted( (i for i, centre in enumerate(centres) if abs(centre[1] - centerline_y) < 1e-9), key=lambda i: centres[i][0], ) keys = ("x_m", "temperature_K", "linear_theory_K") with (ROOT / "temperature_profile.csv").open(encoding="utf-8", newline="") as stream: rows = list(csv.DictReader(stream)) if len(rows) != 200 or set(rows[0]) != set(keys): return False expected_rows = [(centres[i][0], temperature[i], theoretical[i]) for i in centerline] for row, expected in zip(rows, expected_rows): actual = tuple(float(row[key]) for key in keys) if any(not close(a, b, 5.0e-7) for a, b in zip(actual, expected)): return False values = [item.strip() for item in read(ROOT / "summary.txt").strip().split(",")] if len(values) != 2: return False reported = tuple(float(value) for value in values) expected = (temperature[target_a], temperature[target_b]) return all(math.isfinite(value) for value in reported) and all( abs(actual - target) <= 5.0e-7 for actual, target in zip(reported, expected) ) def main() -> int: try: result = check() except Exception: result = False print("True" if result else "False") return 0 if __name__ == "__main__": raise SystemExit(main())