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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"(?<!\w){re.escape(key)}\s+{value}\s*;", block) is not None
def close(actual: float, expected: float, tolerance: float) -> 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())
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