补充test_mql输出校验对比入口

This commit is contained in:
huojiarong committed 2026-07-16 02:34:32 +00:00
1 parent 9eb7d293f7
commit 6ccbf7eb5e
2 files changed
+342

No files matched your search

@@ -0,0 +1,161 @@
from __future__ import annotations
from dataclasses import dataclass
from math import isfinite
from PythonModels.reporting.amesim_results import AmesimResults
from PythonModels.reporting.test_mql_comparison import (
TestMqlComparisonResult,
compare_test_mql_series,
)
from PythonModels.reporting.test_mql_output_schema import TestMqlOutputSchema
class TestMqlOutputValidationError(ValueError):
"""Raised when a Python test_mql output does not satisfy the AMESim output contract."""
@dataclass(frozen=True)
class TestMqlValidatedOutput:
times: tuple[float, ...]
series_by_data_path: dict[str, tuple[float, ...]]
data_paths: tuple[str, ...]
def series(self, data_path: str) -> tuple[float, ...]:
if data_path not in self.series_by_data_path:
raise KeyError(data_path)
return self.series_by_data_path[data_path]
def validate_test_mql_output(
*,
times: tuple[float, ...] | list[float],
series_by_data_path: dict[str, tuple[float, ...] | list[float]],
schema: TestMqlOutputSchema,
data_paths: tuple[str, ...] | list[str] | None = None,
allow_extra_paths: bool = False,
require_all_schema_paths: bool = False,
) -> TestMqlValidatedOutput:
validated_times = _validate_time_axis(times)
selected_paths = _select_paths(
series_by_data_path=series_by_data_path,
schema=schema,
data_paths=data_paths,
allow_extra_paths=allow_extra_paths,
require_all_schema_paths=require_all_schema_paths,
)
validated_series = {
data_path: _validate_series(
data_path=data_path,
values=series_by_data_path[data_path],
expected_count=len(validated_times),
)
for data_path in selected_paths
}
return TestMqlValidatedOutput(
times=validated_times,
series_by_data_path=validated_series,
data_paths=selected_paths,
)
def compare_validated_test_mql_output(
*,
times: tuple[float, ...] | list[float],
series_by_data_path: dict[str, tuple[float, ...] | list[float]],
schema: TestMqlOutputSchema,
amesim_results: AmesimResults,
data_paths: tuple[str, ...] | list[str] | None = None,
allow_extra_paths: bool = False,
require_all_schema_paths: bool = False,
relative_floor: float = 1.0e-12,
) -> TestMqlComparisonResult:
validated = validate_test_mql_output(
times=times,
series_by_data_path=series_by_data_path,
schema=schema,
data_paths=data_paths,
allow_extra_paths=allow_extra_paths,
require_all_schema_paths=require_all_schema_paths,
)
return compare_test_mql_series(
python_times=validated.times,
python_series_by_data_path=validated.series_by_data_path,
amesim_results=amesim_results,
data_paths=validated.data_paths,
relative_floor=relative_floor,
)
def _validate_time_axis(times: tuple[float, ...] | list[float]) -> tuple[float, ...]:
if not times:
raise TestMqlOutputValidationError("Python time axis is empty.")
validated = tuple(_finite_float("time", value) for value in times)
previous = validated[0]
for value in validated[1:]:
if value < previous:
raise TestMqlOutputValidationError("Python time axis must be monotonically increasing.")
previous = value
return validated
def _select_paths(
*,
series_by_data_path: dict[str, tuple[float, ...] | list[float]],
schema: TestMqlOutputSchema,
data_paths: tuple[str, ...] | list[str] | None,
allow_extra_paths: bool,
require_all_schema_paths: bool,
) -> tuple[str, ...]:
schema_paths = set(schema.data_paths())
provided_paths = set(series_by_data_path)
if not allow_extra_paths:
extra_paths = sorted(provided_paths - schema_paths)
if extra_paths:
raise TestMqlOutputValidationError(
f"Python output contains Data_Path values outside test_mql schema: {extra_paths}"
)
if require_all_schema_paths:
missing_schema_paths = sorted(schema_paths - provided_paths)
if missing_schema_paths:
raise TestMqlOutputValidationError(
f"Python output is missing required test_mql schema Data_Path values: {missing_schema_paths}"
)
selected_paths = tuple(data_paths) if data_paths is not None else tuple(sorted(provided_paths & schema_paths))
if not selected_paths:
raise TestMqlOutputValidationError("no test_mql schema Data_Path values are available.")
unknown_selected = [data_path for data_path in selected_paths if data_path not in schema_paths]
if unknown_selected:
raise TestMqlOutputValidationError(
f"Requested Data_Path values are outside test_mql schema: {unknown_selected}"
)
missing_selected = [data_path for data_path in selected_paths if data_path not in series_by_data_path]
if missing_selected:
raise TestMqlOutputValidationError(
f"Python output is missing selected Data_Path values: {missing_selected}"
)
return selected_paths
def _validate_series(
*,
data_path: str,
values: tuple[float, ...] | list[float],
expected_count: int,
) -> tuple[float, ...]:
if len(values) != expected_count:
raise TestMqlOutputValidationError(
f"Python series length mismatch for {data_path!r}: "
f"{len(values)} values for {expected_count} time samples."
)
return tuple(_finite_float(data_path, value) for value in values)
def _finite_float(label: str, value: float) -> float:
try:
numeric_value = float(value)
except (TypeError, ValueError) as exc:
raise TestMqlOutputValidationError(f"{label!r} contains a non-numeric value: {value!r}") from exc
if not isfinite(numeric_value):
raise TestMqlOutputValidationError(f"{label!r} contains a non-finite value: {value!r}")
return numeric_value
+181
View File
@@ -0,0 +1,181 @@
from __future__ import annotations
import unittest
from pathlib import Path
from PythonModels.reporting.amesim_results import load_test_mql_amesim_results
from PythonModels.reporting.test_mql_observations import build_test_mql_observation_catalog
from PythonModels.reporting.test_mql_output_schema import build_test_mql_output_schema
from PythonModels.reporting.test_mql_output_validation import (
TestMqlOutputValidationError,
compare_validated_test_mql_output,
validate_test_mql_output,
)
REPO_ROOT = Path(__file__).resolve().parents[1]
TEST_MQL_AME = REPO_ROOT / "AmesimModels" / "test_mql.ame"
class TestMqlOutputValidationTests(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.amesim_results = load_test_mql_amesim_results(TEST_MQL_AME)
cls.observation_catalog = build_test_mql_observation_catalog(cls.amesim_results)
cls.schema = build_test_mql_output_schema(
cls.amesim_results,
observation_catalog=cls.observation_catalog,
)
def test_validates_selected_python_output_series(self) -> None:
times = [0.0, 0.1, 0.2]
series = {
"press@pn_c1_8": [1.0, 2.0, 3.0],
"vol1@pn_brp2_8": [4, 5, 6],
}
validated = validate_test_mql_output(
times=times,
series_by_data_path=series,
schema=self.schema,
)
self.assertEqual(validated.times, (0.0, 0.1, 0.2))
self.assertEqual(validated.data_paths, ("press@pn_c1_8", "vol1@pn_brp2_8"))
self.assertEqual(validated.series("press@pn_c1_8"), (1.0, 2.0, 3.0))
self.assertEqual(validated.series("vol1@pn_brp2_8"), (4.0, 5.0, 6.0))
def test_can_validate_explicit_data_path_order(self) -> None:
validated = validate_test_mql_output(
times=(0.0, 0.1),
series_by_data_path={
"press@pn_c1_8": (10.0, 11.0),
"vol1@pn_brp2_8": (20.0, 21.0),
},
schema=self.schema,
data_paths=("vol1@pn_brp2_8", "press@pn_c1_8"),
)
self.assertEqual(validated.data_paths, ("vol1@pn_brp2_8", "press@pn_c1_8"))
def test_rejects_output_paths_outside_schema_by_default(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "outside test_mql schema"):
validate_test_mql_output(
times=(0.0,),
series_by_data_path={"not_a_signal@not_an_owner": (1.0,)},
schema=self.schema,
)
def test_can_ignore_extra_output_paths_when_requested(self) -> None:
validated = validate_test_mql_output(
times=(0.0,),
series_by_data_path={
"press@pn_c1_8": (1.0,),
"not_a_signal@not_an_owner": (2.0,),
},
schema=self.schema,
allow_extra_paths=True,
)
self.assertEqual(validated.data_paths, ("press@pn_c1_8",))
def test_rejects_missing_selected_data_path(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "missing selected"):
validate_test_mql_output(
times=(0.0,),
series_by_data_path={"press@pn_c1_8": (1.0,)},
schema=self.schema,
data_paths=("press@pn_c1_8", "vol1@pn_brp2_8"),
)
def test_rejects_incomplete_full_schema_output(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "missing required"):
validate_test_mql_output(
times=(0.0,),
series_by_data_path={"press@pn_c1_8": (1.0,)},
schema=self.schema,
require_all_schema_paths=True,
)
def test_rejects_length_mismatch(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "length mismatch"):
validate_test_mql_output(
times=(0.0, 0.1),
series_by_data_path={"press@pn_c1_8": (1.0,)},
schema=self.schema,
)
def test_rejects_non_finite_values(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "non-finite"):
validate_test_mql_output(
times=(0.0,),
series_by_data_path={"press@pn_c1_8": (float("nan"),)},
schema=self.schema,
)
def test_rejects_non_monotonic_time_axis(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "monotonically increasing"):
validate_test_mql_output(
times=(0.0, 0.2, 0.1),
series_by_data_path={"press@pn_c1_8": (1.0, 2.0, 3.0)},
schema=self.schema,
)
def test_compares_validated_amesim_baseline_with_zero_error(self) -> None:
selected_paths = (
"press@pn_c1_8",
"dm2@pn_morifice_11",
"x1@mass_friction_endstops_10",
)
baseline = self.observation_catalog.baseline_series_by_data_path(
self.amesim_results,
selected_paths,
)
comparison = compare_validated_test_mql_output(
times=self.amesim_results.times,
series_by_data_path=baseline,
schema=self.schema,
amesim_results=self.amesim_results,
data_paths=selected_paths,
)
self.assertEqual(len(comparison.metrics), len(selected_paths))
self.assertEqual(comparison.max_abs_error, 0.0)
self.assertEqual(comparison.max_rel_error, 0.0)
def test_compares_validated_output_and_reports_perturbation_error(self) -> None:
selected_paths = ("press@pn_c1_8",)
baseline = self.observation_catalog.baseline_series_by_data_path(
self.amesim_results,
selected_paths,
)
perturbed = dict(baseline)
values = list(perturbed["press@pn_c1_8"])
values[-1] += 10.0
perturbed["press@pn_c1_8"] = tuple(values)
comparison = compare_validated_test_mql_output(
times=self.amesim_results.times,
series_by_data_path=perturbed,
schema=self.schema,
amesim_results=self.amesim_results,
data_paths=selected_paths,
)
metric = comparison.metric("press@pn_c1_8")
self.assertAlmostEqual(metric.final_abs_error, 10.0)
self.assertAlmostEqual(metric.max_abs_error, 10.0)
def test_compare_validated_output_reuses_schema_validation(self) -> None:
with self.assertRaisesRegex(TestMqlOutputValidationError, "outside test_mql schema"):
compare_validated_test_mql_output(
times=(0.0,),
series_by_data_path={"not_a_signal@not_an_owner": (1.0,)},
schema=self.schema,
amesim_results=self.amesim_results,
)
if __name__ == "__main__":
unittest.main()