Files
GridFire/validation/vv/logger.py
Emily Boudreaux ef53575c0d test(validation): Added validation suite
Added the framework and some basic tests for a validation suite which
automatically tests against pynucastro results
2025-11-27 10:05:51 -05:00

77 lines
2.5 KiB
Python

from enum import Enum
from typing import Dict, List, Any, SupportsFloat
import json
from datetime import datetime
import os
import sys
from gridfire.solver import CVODETimestepContext
import gridfire
class LogEntries(Enum):
Step = "Step"
t = "t"
dt = "dt"
eps = "eps"
Composition = "Composition"
ReactionContributions = "ReactionContributions"
class StepLogger:
def __init__(self):
self.num_steps : int = 0
self.steps : List[Dict[LogEntries, Any]] = []
def log_step(self, ctx : CVODETimestepContext):
comp_data: Dict[str, SupportsFloat] = {}
for species in ctx.engine.getNetworkSpecies():
sid = ctx.engine.getSpeciesIndex(species)
comp_data[species.name()] = ctx.state[sid]
entry : Dict[LogEntries, Any] = {
LogEntries.Step: ctx.num_steps,
LogEntries.t: ctx.t,
LogEntries.dt: ctx.dt,
LogEntries.Composition: comp_data,
}
self.steps.append(entry)
self.num_steps += 1
def to_json(self, filename: str, **kwargs):
serializable_steps : List[Dict[str, Any]] = [
{
LogEntries.Step.value: step[LogEntries.Step],
LogEntries.t.value: step[LogEntries.t],
LogEntries.dt.value: step[LogEntries.dt],
LogEntries.Composition.value: step[LogEntries.Composition],
}
for step in self.steps
]
out_data : Dict[str, Any] = {
"Metadata": {
"NumSteps": self.num_steps,
**kwargs,
"DateCreated": datetime.now().isoformat(),
"GridFireVersion": gridfire.__version__,
"Author": "Emily M. Boudreaux",
"OS": os.uname().sysname,
"ClangVersion": os.popen("clang --version").read().strip(),
"GccVersion": os.popen("gcc --version").read().strip(),
"PythonVersion": sys.version,
},
"Steps": serializable_steps
}
with open(filename, 'w') as f:
json.dump(out_data, f, indent=4)
def summary(self) -> Dict[str, Any]:
if not self.steps:
return {}
final_step = self.steps[-1]
summary_data : Dict[str, Any] = {
"TotalSteps": self.num_steps,
"FinalTime": final_step[LogEntries.t],
"FinalComposition": final_step[LogEntries.Composition],
}
return summary_data