From a8c733883c59c6010772b294afb367da567b30a3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=8D=A2=E4=BA=AC=E6=B3=BD?= Date: Tue, 18 Aug 2026 15:20:42 +0000 Subject: [PATCH] =?UTF-8?q?=E5=AD=98=E6=A1=A3=E6=B1=82=E8=A7=A3=E5=99=A8?= =?UTF-8?q?=E5=9B=9E=E5=BD=92=E5=9F=BA=E7=BA=BF=E4=B8=8E=E5=BD=93=E5=89=8D?= =?UTF-8?q?=E6=94=B9=E5=8A=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 纳管 AMESim 对齐基线、发布锁、回归测试及当前物理门禁调整。 更新日志仅记录已完成成果，并注明当前 HEAD 尚待真实 production 复跑与远端 workflow 验证。 --- .github/workflows/solver-regression.yml | 25 +- README.md | 27 +- app/simulation/benchmark_regression.py | 331 +- app/simulation/physical_state_v21.py | 1496 ++++ .../reporting/test_mql_comparison.py | 43 +- constraints/python312-linux-x86_64.lock | 31 + docs/other/求解器性能优化任务清单.md | 136 +- docs/update-log/更新日志-2026-08-18.md | 12 + requirements.txt | 4 +- ...on-0.2s-physical-state-v2.1-candidate.json | 952 ++ .../production-0.2s-physical-state-v2.1.json | 955 ++ .../goldens/production-0.2s-v2.json | 629 ++ .../simulation/test_mql_8/manifest.json | 92 +- ...ction-amesim-aligned-v1-candidate-0.2.json | 6393 ++++++++++++++ ...-production-opt00-approved-replay-0.2.json | 7680 +++++++++++++++++ ...8-production-opt00-extension-decision.json | 40 + ...18-production-physical-state-v2.1-0.2.json | 7228 ++++++++++++++++ .../goldens/production-0.81s-v1.json | 631 ++ .../goldens/production-2.10s-v1.json | 886 ++ .../test_mql_full_branches/manifest.json | 68 +- .../2026-08-18-opt00-historical-repeat-1.json | 5925 +++++++++++++ .../2026-08-18-opt00-historical-repeat-2.json | 5929 +++++++++++++ .../2026-08-18-opt00-historical-repeat-3.json | 5934 +++++++++++++ tests/data/test-mql-8.json | 8 +- tests/data/test-mql-8.xml | 4 +- tests/test_benchmark_regression.py | 246 +- tests/test_dependency_constraints.py | 101 +- tests/test_mql_full_branches_regression.py | 65 +- tests/test_physical_state_v21.py | 487 ++ tests/test_test_mql_8_regression.py | 88 +- tests/test_test_mql_ame_contract.py | 857 ++ tests/test_test_mql_comparison.py | 46 +- 32 files changed, 47241 insertions(+), 108 deletions(-) create mode 100644 app/simulation/physical_state_v21.py create mode 100644 constraints/python312-linux-x86_64.lock create mode 100644 tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json create mode 100644 tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json create mode 100644 tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json create mode 100644 tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json create mode 100644 tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json create mode 100644 tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json create mode 100644 tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json create mode 100644 tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json create mode 100644 tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json create mode 100644 tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json create mode 100644 tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json create mode 100644 tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json create mode 100644 tests/test_physical_state_v21.py create mode 100644 tests/test_test_mql_ame_contract.py diff --git a/.github/workflows/solver-regression.yml b/.github/workflows/solver-regression.yml index 6b35f2b..b9eb402 100644 --- a/.github/workflows/solver-regression.yml +++ b/.github/workflows/solver-regression.yml @@ -76,11 +76,12 @@ jobs: cache-dependency-path: | requirements.txt constraints/python312-direct.txt - - name: Install reference dependencies + constraints/python312-linux-x86_64.lock + - name: Install hashed Linux release lock run: | python -m pip install \ - -r requirements.txt \ - -c constraints/python312-direct.txt + --force-reinstall \ + -r constraints/python312-linux-x86_64.lock python -m pip check - name: Run solver foundation tests env: @@ -89,6 +90,8 @@ jobs: python -W error::ResourceWarning -m unittest \ tests.test_dependency_constraints \ tests.test_benchmark_regression \ + tests.test_physical_state_v21 \ + tests.test_test_mql_ame_contract \ tests.test_test_mql_8_regression \ tests.test_mql_full_branches_regression \ tests.test_pressure_flow_causal_execution \ @@ -115,18 +118,19 @@ jobs: cache-dependency-path: | requirements.txt constraints/python312-direct.txt - - name: Install reference dependencies + constraints/python312-linux-x86_64.lock + - name: Install hashed Linux release lock run: | python -m pip install \ - -r requirements.txt \ - -c constraints/python312-direct.txt + --force-reinstall \ + -r constraints/python312-linux-x86_64.lock python -m pip check - name: Run 0.81 and 2.10 second historical regression run: | mkdir -p artifacts python -m app.simulation.benchmark_regression \ --manifest tests/baselines/simulation/test_mql_full_branches/manifest.json \ - --lane solver-only \ + --lane production \ --output artifacts/test-mql-full-branches.json - if: always() uses: actions/upload-artifact@v4 @@ -150,11 +154,12 @@ jobs: cache-dependency-path: | requirements.txt constraints/python312-direct.txt - - name: Install reference dependencies + constraints/python312-linux-x86_64.lock + - name: Install hashed Linux release lock run: | python -m pip install \ - -r requirements.txt \ - -c constraints/python312-direct.txt + --force-reinstall \ + -r constraints/python312-linux-x86_64.lock python -m pip check - name: Run bounded progressive main-model regression env: diff --git a/README.md b/README.md index b5d5365..beef40b 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,9 @@ ReactFlow 系统建模与 `app.simulation` 仿真后端。 后端统一使用 Python 3.12；仓库根目录的 `.python-version` 记录本轮参考补丁版本 `3.12.3`。`requirements.txt` 保留支持范围， -`constraints/python312-direct.txt` 固定应用直接依赖的参考版本。普通开发、性能复测和 -CI 应同时使用两者，以避免同一代码在不同时间解析到不同的 NumPy、SciPy 或 Web -框架版本。 +`constraints/python312-direct.txt` 固定跨平台开发环境的直接依赖参考版本； +`constraints/python312-linux-x86_64.lock` 则完整固定发布与 CI 所用的 Linux x86_64 +wheel、全部传递依赖及其 SHA-256。 Windows： @@ -25,20 +25,21 @@ Linux： ```bash python3.12 -m venv .venv ./.venv/bin/python -m pip install \ - -r requirements.txt \ - -c constraints/python312-direct.txt + -r constraints/python312-linux-x86_64.lock ./.venv/bin/python -m pip check ``` -约束文件只固定代码直接导入或启动的 `fastapi`、`lxml`、`numpy`、`pydantic`、 -`scipy` 和 `uvicorn`。`uvicorn[standard]` 的可选传递依赖包含平台差异，因此仍由 pip -按目标平台解析；这套方案固定求解器和接口层的主要版本，但不是带 wheel 哈希的逐位 -相同发布锁。若要测试 `requirements.txt` 声明的兼容范围，可显式省略 `-c`，但这类 -结果不应与受约束环境的性能数据直接比较。 +Linux 发布锁仅适用于兼容 manylinux_2_28 的 Linux x86_64 和 CPython 3.12。它启用 +`--only-binary=:all:` 与 `--require-hashes`，因此不会静默改用源码包或未审计 wheel； +CI 和正式性能复测必须直接以 `-r` 安装该文件。Windows 或其他平台的开发环境继续 +使用 `requirements.txt` 加 `constraints/python312-direct.txt`。若要测试 +`requirements.txt` 声明的兼容范围，可显式省略约束，但这类结果不应与锁定环境的 +性能数据直接比较。 -升级参考版本时，应在干净的 Python 3.12 虚拟环境中同时安装范围文件和约束文件， -运行 `pip check` 与后端测试，再更新约束；不要从单个平台的 `pip freeze` 直接复制 -所有传递依赖。 +升级参考版本时，应在干净的 Python 3.12 Linux x86_64 虚拟环境中解析范围文件， +仅下载兼容 wheel，逐个记录 wheel 的 SHA-256，再从空环境安装发布锁并运行 +`pip check`、依赖契约测试与后端测试。不能只复制 `pip freeze`，因为它既不证明 +依赖来源，也不校验安装产物。 前端使用 Vite 8，需要 Node.js `20.19+` 或 `22.12+`。首次启动前安装前端依赖。 diff --git a/app/simulation/benchmark_regression.py b/app/simulation/benchmark_regression.py index 38e199a..d50b6ce 100644 --- a/app/simulation/benchmark_regression.py +++ b/app/simulation/benchmark_regression.py @@ -31,6 +31,14 @@ from time import monotonic, perf_counter, process_time from typing import Any import xml.etree.ElementTree as ET +from app.simulation.physical_state_v21 import ( + PhysicalStateV21Error, + evaluate_physical_state_v21, + load_approved_golden as load_physical_state_v21_golden, + physical_state_v21_applicable, + project_physical_state_v21, +) + try: # resource is unavailable on native Windows Python. import resource except ImportError: # pragma: no cover - Windows regression job @@ -456,6 +464,50 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: "Authoritative XML byte count does not match manifest source.bytes." ) + reference_archive = source.get("referenceArchive") + reference_archive_path: Path | None = None + reference_archive_sha256: str | None = None + if reference_archive is not None: + if not isinstance(reference_archive, Mapping): + raise RegressionManifestError( + "Manifest source.referenceArchive must be an object when declared." + ) + archive_path_value = reference_archive.get("path") + archive_sha256 = reference_archive.get("sha256") + archive_bytes = reference_archive.get("bytes") + if ( + not isinstance(archive_path_value, str) + or not archive_path_value + or not _valid_sha256(archive_sha256) + or not isinstance(archive_bytes, int) + or archive_bytes <= 0 + or reference_archive.get("role") != "authoritativePhysicalBaseline" + ): + raise RegressionManifestError( + "Manifest AMESim reference archive identity or role is incomplete." + ) + reference_archive_path = (repository_root / archive_path_value).resolve() + if not reference_archive_path.is_relative_to(repository_root): + raise RegressionManifestError( + "AMESim reference archive must remain inside the repository." + ) + try: + archive_payload = reference_archive_path.read_bytes() + except OSError as exc: + raise RegressionManifestError( + f"Could not read AMESim reference archive {reference_archive_path}: {exc}" + ) from exc + if len(archive_payload) != archive_bytes: + raise RegressionManifestError( + "AMESim reference archive byte count mismatch." + ) + actual_archive_sha256 = _sha256(archive_payload) + if actual_archive_sha256 != archive_sha256: + raise RegressionManifestError( + "AMESim reference archive hash mismatch." + ) + reference_archive_sha256 = str(archive_sha256) + companion = source.get("companionProject") companion_path: Path | None = None if companion is not None: @@ -627,6 +679,28 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: correctness = manifest.get("correctness") if not isinstance(correctness, dict): raise RegressionManifestError("Manifest correctness must be an object.") + python_golden_role = correctness.get("pythonGoldenRole", "acceptanceGate") + if python_golden_role not in { + "acceptanceGate", + "determinismDiagnosticOnly", + }: + raise RegressionManifestError( + "correctness.pythonGoldenRole must be acceptanceGate or " + "determinismDiagnosticOnly." + ) + physical_baseline_authority = correctness.get("physicalBaselineAuthority") + compare_amesim_on_every_run = correctness.get( + "compareAmesimOnEveryRun", False + ) + if physical_baseline_authority is not None and ( + physical_baseline_authority != "amesim" + or compare_amesim_on_every_run is not True + or reference_archive_path is None + ): + raise RegressionManifestError( + "AMESim physical authority requires a validated reference archive " + "and compareAmesimOnEveryRun=true." + ) state_relative_tolerance = _finite_nonnegative( correctness.get("stateRelativeTolerance"), field="correctness.stateRelativeTolerance", @@ -641,6 +715,9 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: ) loaded_goldens: dict[str, dict[str, dict[str, object]]] = {} + loaded_physical_state_v21_goldens: dict[ + str, dict[str, dict[str, object]] + ] = {} for case_id in sequence: variant = variants[case_id] assert isinstance(variant, dict) @@ -654,6 +731,14 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: raise RegressionManifestError( f"Variant {case_id!r} has an invalid golden lane reference." ) + if python_golden_role == "determinismDiagnosticOnly" and ( + reference.get("role") != "pythonDeterminismRegression" + or reference.get("affectsPhysicalCorrectness") is not False + ): + raise RegressionManifestError( + f"Variant {case_id!r} Python golden must be marked as a " + "non-physical determinism regression." + ) golden_path_value = reference.get("path") golden_sha256 = reference.get("sha256") if ( @@ -704,6 +789,95 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: ) loaded_goldens.setdefault(case_id, {})[lane_name] = golden + raw_physical_state_v21_goldens = variant.get( + "physicalStateV21Goldens", {} + ) + if not isinstance(raw_physical_state_v21_goldens, dict): + raise RegressionManifestError( + f"Variant {case_id!r} physicalStateV21Goldens must be an object " + "keyed by lane." + ) + for lane_name, reference in raw_physical_state_v21_goldens.items(): + if lane_name not in lanes or not isinstance(reference, Mapping): + raise RegressionManifestError( + f"Variant {case_id!r} has an invalid physical-state-v2.1 " + "golden lane reference." + ) + if physical_baseline_authority == "amesim" and ( + reference.get("role") != "amesimPhysicalBaseline" + or reference.get("compareOnEveryRun") is not True + ): + raise RegressionManifestError( + f"Variant {case_id!r} physical-state reference must be marked " + "as the per-run AMESim physical baseline." + ) + golden_path_value = reference.get("path") + golden_sha256 = reference.get("sha256") + if ( + not isinstance(golden_path_value, str) + or not golden_path_value + or not _valid_sha256(golden_sha256) + ): + raise RegressionManifestError( + f"Variant {case_id!r} physical-state-v2.1 golden reference " + "is incomplete." + ) + golden_path = (repository_root / golden_path_value).resolve() + if not golden_path.is_relative_to(repository_root): + raise RegressionManifestError( + "Physical-state-v2.1 golden must remain inside the repository." + ) + try: + physical_state_golden = load_physical_state_v21_golden(golden_path) + except (OSError, PhysicalStateV21Error) as exc: + raise RegressionManifestError( + f"Could not load physical-state-v2.1 golden {golden_path}: {exc}" + ) from exc + if physical_state_golden.get("_sha256") != golden_sha256: + raise RegressionManifestError( + f"Variant {case_id!r} physical-state-v2.1 golden hash mismatch." + ) + if ( + physical_state_golden.get("caseId") != case_id + or physical_state_golden.get("lane") != lane_name + or physical_state_golden.get("sourceXmlSha256") != expected_sha256 + ): + raise RegressionManifestError( + f"Variant {case_id!r} physical-state-v2.1 golden identity " + "does not match the manifest." + ) + physical_provenance = physical_state_golden.get("provenance") + physical_amesim = ( + physical_provenance.get("amesim") + if isinstance(physical_provenance, Mapping) + else None + ) + if physical_baseline_authority == "amesim" and ( + not isinstance(physical_amesim, Mapping) + or physical_amesim.get("archiveSha256") + != reference_archive_sha256 + ): + raise RegressionManifestError( + f"Variant {case_id!r} AMESim baseline provenance does not " + "match source.referenceArchive." + ) + expected_times = [float(value) for value in variant["checkpointTimes"]] + physical_state_checkpoints = physical_state_golden.get("checkpoints") + assert isinstance(physical_state_checkpoints, list) + golden_times = [ + float(checkpoint["requestedTime"]) + for checkpoint in physical_state_checkpoints + if isinstance(checkpoint, Mapping) + ] + if expected_times != golden_times: + raise RegressionManifestError( + f"Variant {case_id!r} physical-state-v2.1 golden checkpoint " + "times differ from manifest." + ) + loaded_physical_state_v21_goldens.setdefault(case_id, {})[ + lane_name + ] = physical_state_golden + _finite_positive( execution.get("predictionSafetyFactor", 1.0), field="execution.predictionSafetyFactor", @@ -720,10 +894,14 @@ def load_regression_manifest(path: Path | str) -> dict[str, object]: manifest["_manifestPath"] = str(manifest_path) manifest["_repositoryRoot"] = str(repository_root) manifest["_sourcePath"] = str(source_path) + manifest["_referenceArchivePath"] = ( + str(reference_archive_path) if reference_archive_path is not None else None + ) manifest["_companionPath"] = ( str(companion_path) if companion_path is not None else None ) manifest["_goldens"] = loaded_goldens + manifest["_physicalStateV21Goldens"] = loaded_physical_state_v21_goldens return manifest @@ -1105,7 +1283,7 @@ def summarize_simulation_result( "eventTrace": event_trace, "comparisonMode": "numericTolerance", } - return { + summary = { "success": bool(result.get("success")), "status": result.get("status"), "partial": bool(result.get("partial")), @@ -1126,6 +1304,13 @@ def summarize_simulation_result( "diagnostics": dict(diagnostic_mapping), "eventTrace": event_trace, } + if physical_state_v21_applicable(result): + summary["physicalStateV21"] = project_physical_state_v21( + result, + checkpoint_times=checkpoint_times, + sample_step=sample_step, + ) + return summary def _worker_control_listener(cancel_event: threading.Event) -> None: @@ -1666,6 +1851,77 @@ def evaluate_regression_golden( return audit +def evaluate_physical_state_v21_golden( + summary: Mapping[str, object] | None, + golden: Mapping[str, object] | None, +) -> dict[str, object]: + """Evaluate the algebraic/discrete v2.1 contract when a manifest pins it.""" + + if golden is None: + return { + "configured": False, + "evaluated": False, + "passed": None, + "issues": [], + } + provenance = golden.get("provenance") + amesim_provenance = ( + provenance.get("amesim") if isinstance(provenance, Mapping) else None + ) + alignment = golden.get("amesimAlignmentAtGeneration") + audit: dict[str, object] = { + "configured": True, + "evaluated": False, + "passed": False, + "goldenId": golden.get("id"), + "goldenPath": golden.get("_path"), + "goldenSha256": golden.get("_sha256"), + "amesimArchiveSha256": ( + amesim_provenance.get("archiveSha256") + if isinstance(amesim_provenance, Mapping) + else None + ), + "amesimAlignmentAtGenerationPassed": ( + alignment.get("passed") if isinstance(alignment, Mapping) else None + ), + "issues": [], + "metrics": [], + } + if summary is None: + audit["issues"] = ["missingSummaryForPhysicalStateV21Golden"] + return audit + contract = summary.get("physicalStateV21") + if not isinstance(contract, Mapping): + audit["issues"] = ["missingPhysicalStateV21Contract"] + return audit + audit["evaluated"] = True + try: + evaluation = evaluate_physical_state_v21(contract, golden) + except PhysicalStateV21Error as exc: + audit["issues"] = ["invalidPhysicalStateV21Contract"] + audit["error"] = str(exc) + return audit + audit.update(evaluation) + audit.update( + { + "configured": True, + "evaluated": True, + "goldenId": golden.get("id"), + "goldenPath": golden.get("_path"), + "goldenSha256": golden.get("_sha256"), + "amesimArchiveSha256": ( + amesim_provenance.get("archiveSha256") + if isinstance(amesim_provenance, Mapping) + else None + ), + "amesimAlignmentAtGenerationPassed": ( + alignment.get("passed") if isinstance(alignment, Mapping) else None + ), + } + ) + return audit + + def _case_correctness_issues( result: Mapping[str, object], *, @@ -1827,8 +2083,20 @@ def _case_correctness_issues( if isinstance(golden_evaluation, Mapping): raw_golden_issues = golden_evaluation.get("issues") if isinstance(raw_golden_issues, list): + python_golden_role = correctness.get( + "pythonGoldenRole", "acceptanceGate" + ) + accepted_issues = ( + raw_golden_issues + if python_golden_role == "acceptanceGate" + else [ + issue + for issue in raw_golden_issues + if issue in {"missingOutputContract", "outputContractMismatch"} + ] + ) issues.extend( - str(issue) for issue in raw_golden_issues if isinstance(issue, str) + str(issue) for issue in accepted_issues if isinstance(issue, str) ) return tuple(dict.fromkeys(issues)) @@ -1912,6 +2180,10 @@ def run_regression_suite( assert isinstance(correctness, dict) loaded_goldens = manifest.get("_goldens", {}) assert isinstance(loaded_goldens, dict) + loaded_physical_state_v21_goldens = manifest.get( + "_physicalStateV21Goldens", {} + ) + assert isinstance(loaded_physical_state_v21_goldens, dict) case_reports: list[dict[str, object]] = [] predecessor_completed = True @@ -1988,6 +2260,45 @@ def run_regression_suite( summary if isinstance(summary, Mapping) else None, golden if isinstance(golden, Mapping) else None, ) + golden_evaluation["role"] = correctness.get( + "pythonGoldenRole", "acceptanceGate" + ) + golden_evaluation["affectsPhysicalCorrectness"] = ( + correctness.get("pythonGoldenRole", "acceptanceGate") + == "acceptanceGate" + ) + raw_python_golden_issues = golden_evaluation.get("issues") + golden_evaluation["acceptanceIssues"] = ( + list(raw_python_golden_issues) + if correctness.get("pythonGoldenRole", "acceptanceGate") + == "acceptanceGate" + and isinstance(raw_python_golden_issues, list) + else [ + issue + for issue in ( + raw_python_golden_issues + if isinstance(raw_python_golden_issues, list) + else [] + ) + if issue in {"missingOutputContract", "outputContractMismatch"} + ] + ) + case_physical_state_v21_goldens = loaded_physical_state_v21_goldens.get( + case_id, {} + ) + physical_state_v21_golden = ( + case_physical_state_v21_goldens.get(lane) + if isinstance(case_physical_state_v21_goldens, Mapping) + else None + ) + physical_state_v21_evaluation = evaluate_physical_state_v21_golden( + summary if isinstance(summary, Mapping) else None, + ( + physical_state_v21_golden + if isinstance(physical_state_v21_golden, Mapping) + else None + ), + ) correctness_issues = ( _case_correctness_issues( result, @@ -1998,6 +2309,21 @@ def run_regression_suite( if solver_completed else () ) + if solver_completed: + raw_v21_issues = physical_state_v21_evaluation.get("issues") + if isinstance(raw_v21_issues, list): + correctness_issues = tuple( + dict.fromkeys( + ( + *correctness_issues, + *( + str(issue) + for issue in raw_v21_issues + if isinstance(issue, str) + ), + ) + ) + ) report = { "caseId": case_id, "stopTime": stop_time, @@ -2016,6 +2342,7 @@ def run_regression_suite( "passed": solver_completed and not correctness_issues, "issues": list(correctness_issues), "regressionGolden": golden_evaluation, + "physicalStateV21Golden": physical_state_v21_evaluation, }, } if solver_completed and correctness_issues: diff --git a/app/simulation/physical_state_v21.py b/app/simulation/physical_state_v21.py new file mode 100644 index 0000000..3463df4 --- /dev/null +++ b/app/simulation/physical_state_v21.py @@ -0,0 +1,1496 @@ +"""Physical-state-v2.1 projection and AMESim-baseline protocol for test_mql. + +AMESim simulation values are the authoritative physical baseline. Every +runtime evaluation compares the current projected values directly with that +baseline and reports the relative error when the AMESim denominator is +non-zero. Frozen Python values are retained only as implementation and +determinism evidence; they are not a physical-correctness authority. +""" + +from __future__ import annotations + +import argparse +from collections.abc import Mapping, Sequence +from datetime import UTC, datetime +import hashlib +import json +import math +import os +from pathlib import Path +import tarfile +from typing import Any + + +PHYSICAL_STATE_V21_ID = "physical-state-v2.1" +PHYSICAL_STATE_V21_SCHEMA_VERSION = 1 +PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION = 1 +AMESIM_REFERENCE_PRESSURE_PA = 101_300.0 +REPOSITORY_ROOT = Path(__file__).resolve().parents[2] +DEFAULT_AMESIM_ARCHIVE = REPOSITORY_ROOT / "AmesimModels" / "test_mql.ame" + +_PNCH_PRESSURE = "amesim_pnch012_8.p" +_LINE_PRESSURE = "amesim_pnl0001_20.p" +_LINE_FLOW = "amesim_pnl0001_20.port_1.m_flow" +_ORIFICE_FLOW = "amesim_pnvo001_5.port_2.m_flow" +_ORIFICE_OPENING = "amesim_pnvo001_5.xv" +_NODE_FLOWS = tuple( + f"amesim_p4node2_8.port_{index}.m_flow" for index in range(1, 5) +) +_ORIFICE_BALANCE_FLOWS = ( + "amesim_pnvo001_5.port_2.m_flow", + "amesim_pnvo001_5.port_3.m_flow", +) +_CONNECTION_BALANCE_FLOWS = ( + "amesim_pnl0001_20.port_1.m_flow", + "amesim_pnch012_8.port_1.m_flow", +) +_MASS_9_MODE_SOURCES = ( + "amesim_mecmas21_9.x", + "amesim_mecmas21_9.v", + "amesim_mecmas21_9.port_1.f", + "amesim_mecmas21_9.port_2.f", +) +_MASS_10_MODE_SOURCES = ( + "amesim_mecmas21_10.x", + "amesim_mecmas21_10.v", + "amesim_mecmas21_10.port_1.f", + "amesim_mecmas21_10.port_2.f", +) + + +class PhysicalStateV21Error(ValueError): + """Raised when a projection or golden is incomplete or unauditable.""" + + +def _sha256(payload: bytes) -> str: + return hashlib.sha256(payload).hexdigest() + + +def _canonical_sha256(value: object) -> str: + return _sha256( + json.dumps( + value, + ensure_ascii=False, + sort_keys=True, + separators=(",", ":"), + ).encode("utf-8") + ) + + +def _valid_sha256(value: object) -> bool: + return ( + isinstance(value, str) + and len(value) == 64 + and all(character in "0123456789abcdef" for character in value) + ) + + +def _portable_path(path: Path | str) -> str: + """Keep repository provenance relocatable while preserving external paths.""" + + resolved = Path(path).resolve() + try: + return resolved.relative_to(REPOSITORY_ROOT).as_posix() + except ValueError: + return str(resolved) + + +def _finite(value: object, *, field: str) -> float: + if not isinstance(value, (int, float)) or not math.isfinite(float(value)): + raise PhysicalStateV21Error(f"{field} must be a finite number.") + return float(value) + + +def _metadata_and_series( + result: Mapping[str, object], +) -> tuple[dict[str, Mapping[str, object]], Mapping[str, object]]: + variables = result.get("variables") + series = result.get("series") + if not isinstance(variables, list) or not isinstance(series, Mapping): + raise PhysicalStateV21Error("Simulation result requires variables and series.") + metadata: dict[str, Mapping[str, object]] = {} + for index, variable in enumerate(variables): + if not isinstance(variable, Mapping) or not isinstance(variable.get("key"), str): + raise PhysicalStateV21Error(f"Variable {index} has no string key.") + key = str(variable["key"]) + if key in metadata: + raise PhysicalStateV21Error(f"Duplicate result variable key: {key}.") + metadata[key] = variable + return metadata, series + + +def _require_source( + metadata: Mapping[str, Mapping[str, object]], + series: Mapping[str, object], + key: str, + quantity: str, + unit: str, +) -> None: + variable = metadata.get(key) + if variable is None: + raise PhysicalStateV21Error(f"Required v2.1 source is missing: {key}.") + if variable.get("quantity") != quantity or variable.get("unit") != unit: + raise PhysicalStateV21Error( + f"Unexpected metadata for {key}: quantity={variable.get('quantity')!r}, " + f"unit={variable.get('unit')!r}; expected {quantity!r}, {unit!r}." + ) + values = series.get(key) + if not isinstance(values, Sequence) or isinstance(values, (str, bytes)): + raise PhysicalStateV21Error(f"Required v2.1 series is missing: {key}.") + + +def _projection( + key: str, + category: str, + unit: str, + sources: Sequence[str], + python_formula: str, + amesim: Mapping[str, object], + *, + relative: float, + absolute: float, +) -> dict[str, object]: + return { + "key": key, + "category": category, + "unit": unit, + "python": {"sourceKeys": list(sources), "formula": python_formula}, + "amesim": dict(amesim), + "tolerance": {"relative": relative, "absolute": absolute}, + } + + +def _projection_layout( + result: Mapping[str, object], +) -> tuple[dict[str, object], tuple[str, ...]]: + metadata, series = _metadata_and_series(result) + for key in (_PNCH_PRESSURE, _LINE_PRESSURE): + _require_source(metadata, series, key, "pressure", "Pa") + for key in set( + ( + _LINE_FLOW, + _ORIFICE_FLOW, + *_NODE_FLOWS, + *_ORIFICE_BALANCE_FLOWS, + *_CONNECTION_BALANCE_FLOWS, + ) + ): + _require_source(metadata, series, key, "mass_flow", "kg/s") + _require_source(metadata, series, _ORIFICE_OPENING, "dimensionless", "") + for key in (_MASS_9_MODE_SOURCES[0], _MASS_10_MODE_SOURCES[0]): + _require_source(metadata, series, key, "length", "m") + for key in (_MASS_9_MODE_SOURCES[1], _MASS_10_MODE_SOURCES[1]): + _require_source(metadata, series, key, "velocity", "m/s") + for key in (*_MASS_9_MODE_SOURCES[2:], *_MASS_10_MODE_SOURCES[2:]): + _require_source(metadata, series, key, "force", "N") + + stored_mass_keys = tuple( + sorted( + key + for key, variable in metadata.items() + if variable.get("category") == "state" + and variable.get("quantity") == "mass" + and variable.get("unit") == "kg" + ) + ) + if not stored_mass_keys: + raise PhysicalStateV21Error("No stored gas-mass states were found.") + for key in stored_mass_keys: + values = series.get(key) + if not isinstance(values, Sequence) or isinstance(values, (str, bytes)): + raise PhysicalStateV21Error(f"Stored mass series is missing: {key}.") + + gauge_to_absolute = { + "sourceUnit": "Pa (gauge)", + "targetUnit": "Pa (absolute)", + "formula": "target = source + 101300", + "scale": 1.0, + "offset": AMESIM_REFERENCE_PRESSURE_PA, + } + g_s_to_generic = { + "sourceUnit": "g/s (AMESim component orientation)", + "targetUnit": "kg/s (positive into generic component)", + "formula": "target = -source * 1e-3", + "scale": -1.0e-3, + "offset": 0.0, + } + projections = [ + _projection( + "pressure.pnch012_8.absolute", "pressure", "Pa", [_PNCH_PRESSURE], + "identity", {"dataPaths": ["press@pn_c1_8"], **gauge_to_absolute}, + relative=2.0e-4, absolute=1.0e-3, + ), + _projection( + "pressure.pnl0001_20.absolute", "pressure", "Pa", [_LINE_PRESSURE], + "identity", {"dataPaths": ["p2@pneumatic_69"], **gauge_to_absolute}, + relative=2.0e-4, absolute=1.0e-3, + ), + _projection( + "massFlow.pnl0001_20.port_1.intoComponent", "massFlow", "kg/s", + [_LINE_FLOW], "identity", {"dataPaths": ["dm1@pneumatic_69"], **g_s_to_generic}, + relative=2.0e-4, absolute=1.0e-9, + ), + _projection( + "massFlow.pnvo001_5.port_2.intoComponent", "massFlow", "kg/s", + [_ORIFICE_FLOW], "identity", {"dataPaths": ["dm2@pn_morifice_1"], **g_s_to_generic}, + relative=2.0e-4, absolute=1.0e-9, + ), + _projection( + "conservation.p4node2_8.massBalance", "conservation", "kg/s", + _NODE_FLOWS, "sum", + {"dataPaths": [], "note": "AMESim archive has no complete saved four-port tuple."}, + relative=0.0, absolute=1.0e-9, + ), + _projection( + "conservation.pnvo001_5.massBalance", "conservation", "kg/s", + _ORIFICE_BALANCE_FLOWS, "sum", + { + "dataPaths": ["dm2@pn_morifice_1", "dm3@pn_morifice_1"], + "sourceUnit": "g/s", "targetUnit": "kg/s", + "formula": "target = -(source1 + source2) * 1e-3", + }, + relative=0.0, absolute=1.0e-9, + ), + _projection( + "conservation.pnl0001_20_pnch012_8.connectionMassBalance", + "conservation", "kg/s", _CONNECTION_BALANCE_FLOWS, "sum", + {"dataPaths": [], "note": "PNCH012 port flow is not saved; local connector contract is authoritative."}, + relative=0.0, absolute=1.0e-9, + ), + _projection( + "conservation.totalStoredGasMass", "conservation", "kg", + stored_mass_keys, "sum", + { + "dataPathSelection": "units == 'g' and signal starts with 'mgas'", + "sourceUnit": "g", "targetUnit": "kg", + "formula": "target = sum(sources) * 1e-3", + }, + relative=2.0e-4, absolute=1.0e-9, + ), + _projection( + "discrete.pnvo001_5.openMode", "discreteMode", "1", + [_ORIFICE_OPENING], "1 if opening >= 0.5 else 0", + { + "dataPaths": ["xv@pn_morifice_1"], "sourceUnit": "1", + "targetUnit": "mode code {0,1}", "formula": "1 if source >= 0.5 else 0", + }, + relative=0.0, absolute=0.0, + ), + _projection( + "discrete.mecmas21_9.endstopMode", "discreteMode", "1", + _MASS_9_MODE_SOURCES, + "-1 lower, 0 free, +1 upper using boundary and net-force direction", + { + "dataPaths": ["x1@mass_friction_endstops_19", "v1@mass_friction_endstops_19"], + "lowerBound": -0.72, "upperBound": 0.0, + "note": "No saved AMESim endstop code; reference is boundary occupancy.", + }, + relative=0.0, absolute=0.0, + ), + _projection( + "discrete.mecmas21_10.endstopMode", "discreteMode", "1", + _MASS_10_MODE_SOURCES, + "-1 lower, 0 free, +1 upper using boundary and net-force direction", + { + "dataPaths": ["x1@mass_friction_endstops_18", "v1@mass_friction_endstops_18"], + "lowerBound": 0.0, "upperBound": 0.37, + "note": "No saved AMESim endstop code; reference is boundary occupancy.", + }, + relative=0.0, absolute=0.0, + ), + ] + keys = [str(projection["key"]) for projection in projections] + hash_payload = {"projectionKeys": keys, "projections": projections} + return { + **hash_payload, + "projectionLayoutSha256": _canonical_sha256(hash_payload), + }, stored_mass_keys + + +def _value_at(series: Mapping[str, object], key: str, index: int) -> float: + values = series[key] + assert isinstance(values, Sequence) + if index >= len(values): + raise PhysicalStateV21Error(f"Series {key!r} is short at index {index}.") + return _finite(values[index], field=f"series.{key}[{index}]") + + +def _endstop_mode( + position: float, + velocity: float, + force_1: float, + force_2: float, + lower: float, + upper: float, +) -> float: + x_tol = 1.0e-12 * max(abs(position), abs(lower), abs(upper), 1.0) + v_tol = 1.0e-12 * max(abs(velocity), 1.0) + net_force = force_1 + force_2 + if position <= lower + x_tol and velocity <= v_tol and net_force <= 0.0: + return -1.0 + if position >= upper - x_tol and velocity >= -v_tol and net_force >= 0.0: + return 1.0 + return 0.0 + + +def _project_row( + series: Mapping[str, object], + index: int, + stored_mass_keys: Sequence[str], +) -> dict[str, float]: + mass_9 = [_value_at(series, key, index) for key in _MASS_9_MODE_SOURCES] + mass_10 = [_value_at(series, key, index) for key in _MASS_10_MODE_SOURCES] + return { + "pressure.pnch012_8.absolute": _value_at(series, _PNCH_PRESSURE, index), + "pressure.pnl0001_20.absolute": _value_at(series, _LINE_PRESSURE, index), + "massFlow.pnl0001_20.port_1.intoComponent": _value_at(series, _LINE_FLOW, index), + "massFlow.pnvo001_5.port_2.intoComponent": _value_at(series, _ORIFICE_FLOW, index), + "conservation.p4node2_8.massBalance": sum(_value_at(series, key, index) for key in _NODE_FLOWS), + "conservation.pnvo001_5.massBalance": sum(_value_at(series, key, index) for key in _ORIFICE_BALANCE_FLOWS), + "conservation.pnl0001_20_pnch012_8.connectionMassBalance": sum( + _value_at(series, key, index) for key in _CONNECTION_BALANCE_FLOWS + ), + "conservation.totalStoredGasMass": sum(_value_at(series, key, index) for key in stored_mass_keys), + "discrete.pnvo001_5.openMode": float(_value_at(series, _ORIFICE_OPENING, index) >= 0.5), + "discrete.mecmas21_9.endstopMode": _endstop_mode(*mass_9, -0.72, 0.0), + "discrete.mecmas21_10.endstopMode": _endstop_mode(*mass_10, 0.0, 0.37), + } + + +def project_physical_state_v21( + result: Mapping[str, object], + *, + checkpoint_times: Sequence[float], + sample_step: float, +) -> dict[str, object]: + """Project pressure, flow, conservation, and discrete-mode checkpoints.""" + + if not math.isfinite(float(sample_step)) or float(sample_step) <= 0.0: + raise PhysicalStateV21Error("sample_step must be finite and positive.") + layout, stored_mass_keys = _projection_layout(result) + _metadata, series = _metadata_and_series(result) + raw_times = series.get("time") + if not isinstance(raw_times, Sequence) or isinstance(raw_times, (str, bytes)): + raise PhysicalStateV21Error("Simulation result requires a time series.") + times = [_finite(value, field=f"series.time[{index}]") for index, value in enumerate(raw_times)] + if not times or any(first >= second for first, second in zip(times, times[1:])): + raise PhysicalStateV21Error("Time series must be non-empty and strictly increasing.") + keys = layout["projectionKeys"] + assert isinstance(keys, list) + tolerance = max(1.0e-12, 0.51 * float(sample_step)) + checkpoints: list[dict[str, object]] = [] + for raw_requested in checkpoint_times: + requested = _finite(raw_requested, field="checkpoint time") + index = min(range(len(times)), key=lambda candidate: abs(times[candidate] - requested)) + actual = times[index] + if abs(actual - requested) > tolerance: + checkpoints.append({"requestedTime": requested, "available": False, "nearestTime": actual}) + continue + values = _project_row(series, index, stored_mass_keys) + if list(values) != keys: + raise PhysicalStateV21Error("Internal v2.1 projection layout drifted.") + checkpoints.append( + {"requestedTime": requested, "actualTime": actual, "available": True, "values": values} + ) + return { + "schemaVersion": PHYSICAL_STATE_V21_SCHEMA_VERSION, + "id": PHYSICAL_STATE_V21_ID, + "projectionCategories": ["pressure", "massFlow", "conservation", "discreteMode"], + "layout": layout, + "checkpoints": checkpoints, + "comparisonMode": "amesimAuthoritativeBaselineWithLocalInvariants", + } + + +def physical_state_v21_applicable(result: Mapping[str, object]) -> bool: + """Return true only for results carrying the test_mql v2.1 signature.""" + + series = result.get("series") + return isinstance(series, Mapping) and _PNCH_PRESSURE in series + + +def _amesim_value(results: Any, data_path: str, time_s: float) -> float: + from app.simulation.reporting.test_mql_comparison import interpolate_series_value + + if data_path not in results.series_by_data_path: + raise PhysicalStateV21Error(f"AMESim is missing Data_Path {data_path!r}.") + return interpolate_series_value(results.times, results.series(data_path), time_s) + + +def _amesim_boundary_mode( + results: Any, + alias: str, + time_s: float, + lower: float, + upper: float, +) -> float: + position = _amesim_value(results, f"x1@{alias}", time_s) + velocity = _amesim_value(results, f"v1@{alias}", time_s) + tolerance = 1.0e-10 * max(abs(position), abs(lower), abs(upper), 1.0) + if abs(velocity) <= 1.0e-10 and position <= lower + tolerance: + return -1.0 + if abs(velocity) <= 1.0e-10 and position >= upper - tolerance: + return 1.0 + return 0.0 + + +def _archive_provenance(archive_path: Path) -> dict[str, object]: + archive_payload = archive_path.read_bytes() + with tarfile.open(archive_path) as archive: + names = set(archive.getnames()) + preferred = ("test_mql_.var", "test_mql_.results") + if all(name in names for name in preferred): + members = preferred + else: + pairs = sorted( + (name, f"{name[:-4]}.results") + for name in names + if name.endswith(".var") and f"{name[:-4]}.results" in names + ) + if len(pairs) != 1: + raise PhysicalStateV21Error("Could not resolve one AMESim result pair.") + members = pairs[0] + member_records = [] + for name in members: + extracted = archive.extractfile(name) + if extracted is None: + raise PhysicalStateV21Error(f"AMESim member is missing: {name}.") + payload = extracted.read() + member_records.append( + {"name": name, "bytes": len(payload), "sha256": _sha256(payload)} + ) + return { + "archivePath": _portable_path(archive_path), + "archiveBytes": len(archive_payload), + "archiveSha256": _sha256(archive_payload), + "members": member_records, + "referencePressurePa": AMESIM_REFERENCE_PRESSURE_PA, + "role": "external calibration reference; not an equality claim", + } + + +def build_amesim_reference( + archive_path: Path | str, + *, + checkpoint_times: Sequence[float], +) -> dict[str, object]: + """Return transformed AMESim values with archive/member provenance.""" + + # Keep the 132-state legacy model catalog out of benchmark worker startup; + # it is needed only by this explicit AMESim-reference operation. + from app.simulation.reporting.amesim_results import load_test_mql_amesim_results + from app.simulation.reporting.test_mql_variables import ( + build_test_mql_variable_catalog, + ) + + path = Path(archive_path).resolve() + times = tuple(_finite(value, field="AMESim checkpoint") for value in checkpoint_times) + results = load_test_mql_amesim_results(path, time_stop_s=max(times, default=0.0)) + variable_catalog = build_test_mql_variable_catalog(results) + mass_paths = tuple( + variable.data_path + for variable in variable_catalog.variables + if variable.units == "g" and variable.signal_name.startswith("mgas") + ) + if not mass_paths: + raise PhysicalStateV21Error("AMESim archive contains no stored gas mass.") + checkpoints: list[dict[str, object]] = [] + for time_s in times: + dm2 = _amesim_value(results, "dm2@pn_morifice_1", time_s) + dm3 = _amesim_value(results, "dm3@pn_morifice_1", time_s) + values: dict[str, float | None] = { + "pressure.pnch012_8.absolute": _amesim_value( + results, "press@pn_c1_8", time_s + ) + AMESIM_REFERENCE_PRESSURE_PA, + "pressure.pnl0001_20.absolute": _amesim_value( + results, "p2@pneumatic_69", time_s + ) + AMESIM_REFERENCE_PRESSURE_PA, + "massFlow.pnl0001_20.port_1.intoComponent": -1.0e-3 + * _amesim_value(results, "dm1@pneumatic_69", time_s), + "massFlow.pnvo001_5.port_2.intoComponent": -1.0e-3 * dm2, + "conservation.p4node2_8.massBalance": None, + "conservation.pnvo001_5.massBalance": -1.0e-3 * (dm2 + dm3), + "conservation.pnl0001_20_pnch012_8.connectionMassBalance": None, + "conservation.totalStoredGasMass": 1.0e-3 + * sum(_amesim_value(results, data_path, time_s) for data_path in mass_paths), + "discrete.pnvo001_5.openMode": float( + _amesim_value(results, "xv@pn_morifice_1", time_s) >= 0.5 + ), + # Generic mass_9 is the 90,000 kg AMESim instance 10 (alias _19). + "discrete.mecmas21_9.endstopMode": _amesim_boundary_mode( + results, "mass_friction_endstops_19", time_s, -0.72, 0.0 + ), + # Generic mass_10 is the 170,000 kg AMESim instance 9 (alias _18). + "discrete.mecmas21_10.endstopMode": _amesim_boundary_mode( + results, "mass_friction_endstops_18", time_s, 0.0, 0.37 + ), + } + checkpoints.append({"requestedTime": time_s, "values": values}) + return { + "schemaVersion": 1, + "provenance": _archive_provenance(path), + "storedMassDataPaths": list(mass_paths), + "checkpoints": checkpoints, + } + + +def _validate_contract( + contract: Mapping[str, object], + *, + require_available: bool = True, +) -> tuple[list[str], list[Mapping[str, object]]]: + if contract.get("schemaVersion") != PHYSICAL_STATE_V21_SCHEMA_VERSION: + raise PhysicalStateV21Error("Unsupported v2.1 contract schemaVersion.") + if contract.get("id") != PHYSICAL_STATE_V21_ID: + raise PhysicalStateV21Error("Unexpected v2.1 contract id.") + layout = contract.get("layout") + if not isinstance(layout, Mapping): + raise PhysicalStateV21Error("v2.1 layout must be an object.") + keys = layout.get("projectionKeys") + projections = layout.get("projections") + if ( + not isinstance(keys, list) + or not keys + or not all(isinstance(key, str) and key for key in keys) + or len(set(keys)) != len(keys) + ): + raise PhysicalStateV21Error("Projection keys must be unique strings.") + if not isinstance(projections, list) or len(projections) != len(keys): + raise PhysicalStateV21Error("Projection metadata layout is invalid.") + typed: list[Mapping[str, object]] = [] + for key, projection in zip(keys, projections): + if not isinstance(projection, Mapping) or projection.get("key") != key: + raise PhysicalStateV21Error("Projection metadata order is invalid.") + tolerance = projection.get("tolerance") + if not isinstance(tolerance, Mapping): + raise PhysicalStateV21Error(f"Projection {key} has no tolerance.") + for field in ("relative", "absolute"): + value = _finite(tolerance.get(field), field=f"{key}.tolerance.{field}") + if value < 0.0: + raise PhysicalStateV21Error("Projection tolerance cannot be negative.") + typed.append(projection) + hash_payload = {"projectionKeys": keys, "projections": projections} + if layout.get("projectionLayoutSha256") != _canonical_sha256(hash_payload): + raise PhysicalStateV21Error("Projection layout hash mismatch.") + checkpoints = contract.get("checkpoints") + if not isinstance(checkpoints, list) or not checkpoints: + raise PhysicalStateV21Error("v2.1 contract requires checkpoints.") + for checkpoint in checkpoints: + if not isinstance(checkpoint, Mapping): + raise PhysicalStateV21Error("v2.1 checkpoint must be an object.") + if not checkpoint.get("available"): + if require_available: + raise PhysicalStateV21Error("Every golden checkpoint must be available.") + continue + _finite(checkpoint.get("requestedTime"), field="checkpoint.requestedTime") + _finite(checkpoint.get("actualTime"), field="checkpoint.actualTime") + values = checkpoint.get("values") + if not isinstance(values, Mapping) or list(values) != keys: + raise PhysicalStateV21Error("Checkpoint values do not match layout.") + for key in keys: + _finite(values[key], field=f"checkpoint.values.{key}") + return keys, typed + + +def _case_summary( + report: Mapping[str, object], + *, + case_id: str, + lane: str, +) -> Mapping[str, object]: + cases = report.get("cases") + if not isinstance(cases, list): + raise PhysicalStateV21Error("Regression report cases must be a list.") + matches = [ + case + for case in cases + if isinstance(case, Mapping) + and case.get("caseId") == case_id + and case.get("lane") == lane + ] + if len(matches) != 1: + raise PhysicalStateV21Error( + f"Expected one {case_id!r}/{lane!r} case, found {len(matches)}." + ) + worker = matches[0].get("worker") + summary = worker.get("summary") if isinstance(worker, Mapping) else None + if not isinstance(summary, Mapping): + raise PhysicalStateV21Error("Regression case has no worker summary.") + return summary + + +def _case_contract( + report: Mapping[str, object], + *, + case_id: str, + lane: str, +) -> Mapping[str, object]: + summary = _case_summary(report, case_id=case_id, lane=lane) + contract = summary.get("physicalStateV21") + if not isinstance(contract, Mapping): + raise PhysicalStateV21Error( + "Report has no physicalStateV21 contract; regenerate it with v2.1 enabled." + ) + return contract + + +def _final_result_from_summary(summary: Mapping[str, object]) -> dict[str, object]: + """Adapt a pre-v2.1 report's final map for one honest endpoint assessment.""" + + final = summary.get("final") + simulated_until = summary.get("simulatedUntil") + if not isinstance(final, Mapping): + raise PhysicalStateV21Error("Legacy report summary has no final values.") + time_s = _finite(simulated_until, field="summary.simulatedUntil") + required = { + _PNCH_PRESSURE: ("pressure", "Pa", "thermodynamic"), + _LINE_PRESSURE: ("pressure", "Pa", "thermodynamic"), + _LINE_FLOW: ("mass_flow", "kg/s", "port"), + _ORIFICE_FLOW: ("mass_flow", "kg/s", "port"), + _ORIFICE_OPENING: ("dimensionless", "", "derived"), + **{key: ("mass_flow", "kg/s", "port") for key in _NODE_FLOWS}, + **{key: ("mass_flow", "kg/s", "port") for key in _ORIFICE_BALANCE_FLOWS}, + **{key: ("mass_flow", "kg/s", "port") for key in _CONNECTION_BALANCE_FLOWS}, + _MASS_9_MODE_SOURCES[0]: ("length", "m", "state"), + _MASS_9_MODE_SOURCES[1]: ("velocity", "m/s", "state"), + _MASS_9_MODE_SOURCES[2]: ("force", "N", "port"), + _MASS_9_MODE_SOURCES[3]: ("force", "N", "port"), + _MASS_10_MODE_SOURCES[0]: ("length", "m", "state"), + _MASS_10_MODE_SOURCES[1]: ("velocity", "m/s", "state"), + _MASS_10_MODE_SOURCES[2]: ("force", "N", "port"), + _MASS_10_MODE_SOURCES[3]: ("force", "N", "port"), + } + mass_keys = sorted( + key + for key in final + if isinstance(key, str) + and (key.endswith(".m") or key.endswith(".m1") or key.endswith(".m2")) + ) + variables = [] + series: dict[str, list[float]] = {"time": [time_s]} + for key, (quantity, unit, category) in required.items(): + if key not in final: + raise PhysicalStateV21Error(f"Legacy final map is missing {key}.") + variables.append({"key": key, "quantity": quantity, "unit": unit, "category": category}) + series[key] = [_finite(final[key], field=f"summary.final.{key}")] + for key in mass_keys: + variables.append({"key": key, "quantity": "mass", "unit": "kg", "category": "state"}) + series[key] = [_finite(final[key], field=f"summary.final.{key}")] + return {"variables": variables, "series": series} + + +def project_report_endpoint_v21( + report: Mapping[str, object], + *, + case_id: str = "0.2s", + lane: str = "production", +) -> dict[str, object]: + """Project the endpoint of a report produced before v2.1 was connected.""" + + summary = _case_summary(report, case_id=case_id, lane=lane) + result = _final_result_from_summary(summary) + time_s = float(summary["simulatedUntil"]) + return project_physical_state_v21( + result, checkpoint_times=(time_s,), sample_step=max(time_s, 1.0e-12) + ) + + +def compare_contract_to_amesim( + contract: Mapping[str, object], + amesim_reference: Mapping[str, object], +) -> dict[str, object]: + """Compare every projection with the authoritative AMESim baseline. + + AMESim may not expose every internal conservation quantity. Those rows are + retained in ``metrics`` with an unavailable baseline instead of being + silently discarded. A zero AMESim baseline has no mathematically defined + relative error, so the report records ``None`` and relies on the declared + absolute tolerance for the pass/fail decision. + """ + + keys, projections = _validate_contract(contract) + checkpoints = contract["checkpoints"] + references = amesim_reference.get("checkpoints") + if not isinstance(checkpoints, list) or not isinstance(references, list): + raise PhysicalStateV21Error("AMESim comparison checkpoints are missing.") + if len(checkpoints) != len(references): + raise PhysicalStateV21Error("AMESim checkpoint count differs from contract.") + # This is an external alignment profile, deliberately distinct from the + # tighter local non-regression tolerances embedded in the projection layout. + external_tolerance = { + "pressure": {"relative": 2.0e-3, "absolute": 1.0e-3}, + "massFlow": {"relative": 2.0e-3, "absolute": 1.0e-9}, + "conservation": {"relative": 2.0e-3, "absolute": 1.0e-9}, + "discreteMode": {"relative": 0.0, "absolute": 0.0}, + } + compared = 0 + available = 0 + unavailable = 0 + excluded = 0 + issues: list[str] = [] + metrics: list[dict[str, object]] = [] + worst: dict[str, object] | None = None + max_ratio = 0.0 + worst_relative: dict[str, object] | None = None + max_relative_error: float | None = None + max_recorded_relative_error: float | None = None + for checkpoint, reference in zip(checkpoints, references): + assert isinstance(checkpoint, Mapping) and isinstance(reference, Mapping) + actual_values = checkpoint["values"] + reference_values = reference.get("values") + assert isinstance(actual_values, Mapping) and isinstance(reference_values, Mapping) + for key, projection in zip(keys, projections): + actual = float(actual_values[key]) + requested_time = float(checkpoint["requestedTime"]) + category = str(projection["category"]) + expected = reference_values.get(key) + if expected is None: + unavailable += 1 + metrics.append( + { + "requestedTime": requested_time, + "key": key, + "category": category, + "actual": actual, + "amesimBaseline": None, + "absoluteError": None, + "relativeError": None, + "relativeErrorPercent": None, + "relativeErrorDefined": False, + "relativeErrorReason": "amesimBaselineUnavailable", + "allowedError": None, + "toleranceRatio": None, + "unboundedToleranceRatio": False, + "comparisonBasis": "localInvariantOnly", + "evaluated": False, + "passed": None, + "exclusionReason": "amesimBaselineUnavailable", + } + ) + continue + available += 1 + expected_numeric = float(expected) + tolerance = external_tolerance[category] + allowed = tolerance["absolute"] + tolerance["relative"] * abs(expected_numeric) + error = abs(actual - expected_numeric) + ratio = error / allowed if allowed > 0.0 else (0.0 if error == 0.0 else math.inf) + relative_error = ( + None if expected_numeric == 0.0 else error / abs(expected_numeric) + ) + relative_error_percent = ( + None if relative_error is None else 100.0 * relative_error + ) + near_zero_threshold = ( + tolerance["absolute"] / tolerance["relative"] + if tolerance["relative"] > 0.0 + else 0.0 + ) + if category == "discreteMode": + comparison_basis = "exactMatch" + elif expected_numeric == 0.0 or abs(expected_numeric) <= near_zero_threshold: + comparison_basis = "absoluteNearZero" + else: + comparison_basis = "mixedAbsoluteRelativeTolerance" + excluded_at_signal_jump = category == "massFlow" and math.isclose( + requested_time, 0.04, rel_tol=0.0, abs_tol=1.0e-12 + ) + metric = { + "requestedTime": requested_time, + "key": key, + "category": category, + "actual": actual, + "amesimBaseline": expected_numeric, + "absoluteError": error, + "relativeError": relative_error, + "relativeErrorPercent": relative_error_percent, + "relativeErrorDefined": relative_error is not None, + "relativeErrorReason": ( + None if relative_error is not None else "zeroAmesimBaseline" + ), + "allowedError": allowed, + "toleranceRatio": ratio if math.isfinite(ratio) else None, + "unboundedToleranceRatio": not math.isfinite(ratio), + "nearZeroThreshold": near_zero_threshold, + "comparisonBasis": comparison_basis, + } + if relative_error is not None and ( + max_recorded_relative_error is None + or relative_error > max_recorded_relative_error + ): + max_recorded_relative_error = relative_error + if excluded_at_signal_jump: + excluded += 1 + metric.update( + { + "evaluated": False, + "passed": None, + "exclusionReason": ( + "signalDiscontinuityLeftRightLimitSemanticsNotComparableAt0.04s" + ), + } + ) + metrics.append(metric) + continue + metric.update({"evaluated": True, "passed": ratio <= 1.0}) + metrics.append(metric) + compared += 1 + if ratio > max_ratio: + max_ratio = ratio + worst = metric + if relative_error is not None and ( + max_relative_error is None or relative_error > max_relative_error + ): + max_relative_error = relative_error + worst_relative = metric + if ratio > 1.0: + issues.append("amesimReferenceToleranceMismatch") + deduplicated = list(dict.fromkeys(issues)) + return { + "passed": not deduplicated, + "issues": deduplicated, + "baselineAuthority": "amesim", + "metricCount": len(metrics), + "availableBaselineValueCount": available, + "unavailableBaselineValueCount": unavailable, + "comparedValueCount": compared, + "excludedValueCount": excluded, + "maxToleranceRatio": ( + max_ratio if compared and math.isfinite(max_ratio) else None + ), + "maxToleranceRatioUnbounded": bool(compared and not math.isfinite(max_ratio)), + "worstValue": worst, + "maxRelativeError": max_relative_error, + "maxRelativeErrorPercent": ( + None if max_relative_error is None else 100.0 * max_relative_error + ), + "worstRelativeErrorValue": worst_relative, + "maxRecordedRelativeError": max_recorded_relative_error, + "maxRecordedRelativeErrorPercent": ( + None + if max_recorded_relative_error is None + else 100.0 * max_recorded_relative_error + ), + "metrics": metrics, + "toleranceProfile": { + "id": "amesim-alignment-reviewed-v1", + "byCategory": external_tolerance, + "basis": ( + "0.2% relative envelope for AMESim pressure/flow/inventory alignment; " + "conservation retains a 1e-9 absolute floor and discrete modes are exact." + ), + "exclusions": [ + { + "requestedTime": 0.04, + "category": "massFlow", + "reason": ( + "The Python and AMESim samples at the signal discontinuity may " + "represent different left/right limits. Raw errors remain recorded." + ), + } + ], + }, + "policy": ( + "AMESim simulation values are the authoritative physical baseline and " + "are compared on every run; unavailable AMESim quantities remain " + "separate local-invariant checks." + ), + } + + +def build_candidate_golden( + report_path: Path | str, + *, + archive_path: Path | str = DEFAULT_AMESIM_ARCHIVE, + case_id: str = "0.2s", + lane: str = "production", + golden_id: str | None = None, +) -> dict[str, object]: + """Build an unapproved candidate from a report containing full v2.1 data.""" + + source_path = Path(report_path).resolve() + payload = source_path.read_bytes() + try: + report = json.loads(payload) + except json.JSONDecodeError as exc: + raise PhysicalStateV21Error(f"Regression report is invalid JSON: {exc}") from exc + if not isinstance(report, Mapping): + raise PhysicalStateV21Error("Regression report must be an object.") + contract = _case_contract(report, case_id=case_id, lane=lane) + keys, _projections = _validate_contract(contract) + checkpoints = contract["checkpoints"] + assert isinstance(checkpoints, list) + times = [float(checkpoint["requestedTime"]) for checkpoint in checkpoints] + amesim = build_amesim_reference(archive_path, checkpoint_times=times) + references = amesim["checkpoints"] + assert isinstance(references, list) + source = report.get("source") + source_sha = source.get("sha256") if isinstance(source, Mapping) else None + if not isinstance(source_sha, str) or len(source_sha) != 64: + raise PhysicalStateV21Error("Report source SHA-256 is missing.") + frozen = [] + for checkpoint, reference in zip(checkpoints, references): + assert isinstance(checkpoint, Mapping) and isinstance(reference, Mapping) + values = checkpoint["values"] + reference_values = reference["values"] + assert isinstance(values, Mapping) and isinstance(reference_values, Mapping) + frozen.append( + { + "requestedTime": checkpoint["requestedTime"], + "values": [values[key] for key in keys], + "amesimReferenceValues": [reference_values[key] for key in keys], + } + ) + layout = contract["layout"] + assert isinstance(layout, Mapping) + alignment = compare_contract_to_amesim(contract, amesim) + return { + "schemaVersion": PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION, + "id": golden_id + or f"test_mql_8-{lane}-{case_id}-{PHYSICAL_STATE_V21_ID}-candidate", + "contractId": PHYSICAL_STATE_V21_ID, + "caseId": case_id, + "lane": lane, + "sourceXmlSha256": source_sha, + "approval": { + "status": "candidate", + "generatedAt": datetime.now(UTC).isoformat(), + "warning": "The correctness gate rejects this file until explicit approval.", + }, + "provenance": { + "localSourceReport": { + "path": _portable_path(source_path), + "bytes": len(payload), + "sha256": _sha256(payload), + "generatedAt": report.get("generatedAt"), + }, + "amesim": amesim["provenance"], + "amesimStoredMassDataPaths": amesim["storedMassDataPaths"], + "comparisonPolicy": ( + "Transformed AMESim values are the authoritative physical baseline; " + "local Python values are retained only for deterministic and " + "implementation-regression diagnostics." + ), + }, + "layout": dict(layout), + "checkpoints": frozen, + "amesimAlignmentAtGeneration": alignment, + } + + +def _exclusive_json_write(path: Path | str, value: object) -> Path: + output = Path(path).resolve() + output.parent.mkdir(parents=True, exist_ok=True) + serialized = json.dumps( + value, ensure_ascii=False, indent=2, allow_nan=False + ) + "\n" + try: + descriptor = os.open(output, os.O_WRONLY | os.O_CREAT | os.O_EXCL, 0o644) + except FileExistsError as exc: + raise PhysicalStateV21Error(f"Refusing to overwrite {output}.") from exc + try: + with os.fdopen(descriptor, "w", encoding="utf-8") as handle: + handle.write(serialized) + except BaseException: + output.unlink(missing_ok=True) + raise + return output + + +def write_candidate_golden( + report_path: Path | str, + output_path: Path | str, + **kwargs: object, +) -> Path: + return _exclusive_json_write( + output_path, + build_candidate_golden(report_path, **kwargs), + ) + + +def _validate_golden( + golden: Mapping[str, object], + *, + allowed_status: str = "approved", +) -> tuple[list[str], list[Mapping[str, object]]]: + if golden.get("schemaVersion") != PHYSICAL_STATE_V21_GOLDEN_SCHEMA_VERSION: + raise PhysicalStateV21Error("Unsupported v2.1 golden schemaVersion.") + if golden.get("contractId") != PHYSICAL_STATE_V21_ID: + raise PhysicalStateV21Error("Golden contract id is invalid.") + for field in ("id", "caseId", "lane"): + if not isinstance(golden.get(field), str) or not golden[field]: + raise PhysicalStateV21Error(f"Golden {field} must be non-empty.") + if not _valid_sha256(golden.get("sourceXmlSha256")): + raise PhysicalStateV21Error("Golden source XML SHA-256 is invalid.") + approval = golden.get("approval") + if not isinstance(approval, Mapping) or approval.get("status") != allowed_status: + raise PhysicalStateV21Error( + f"Golden approval.status must be {allowed_status!r}." + ) + provenance = golden.get("provenance") + amesim = provenance.get("amesim") if isinstance(provenance, Mapping) else None + local_report = ( + provenance.get("localSourceReport") + if isinstance(provenance, Mapping) + else None + ) + if ( + not isinstance(local_report, Mapping) + or not isinstance(local_report.get("path"), str) + or not local_report["path"] + or not isinstance(local_report.get("bytes"), int) + or int(local_report["bytes"]) <= 0 + or not _valid_sha256(local_report.get("sha256")) + ): + raise PhysicalStateV21Error("Golden local report provenance is invalid.") + if ( + not isinstance(amesim, Mapping) + or not isinstance(amesim.get("archivePath"), str) + or not amesim["archivePath"] + or not isinstance(amesim.get("archiveBytes"), int) + or int(amesim["archiveBytes"]) <= 0 + or not _valid_sha256(amesim.get("archiveSha256")) + ): + raise PhysicalStateV21Error("Golden AMESim archive provenance is invalid.") + members = amesim.get("members") + if not isinstance(members, list) or len(members) != 2: + raise PhysicalStateV21Error("Golden AMESim member provenance is incomplete.") + member_names = [] + for member in members: + if ( + not isinstance(member, Mapping) + or not isinstance(member.get("name"), str) + or not _valid_sha256(member.get("sha256")) + or not isinstance(member.get("bytes"), int) + or int(member["bytes"]) <= 0 + ): + raise PhysicalStateV21Error("Golden AMESim member provenance is invalid.") + member_names.append(str(member["name"])) + if not any(name.endswith(".var") for name in member_names) or not any( + name.endswith(".results") for name in member_names + ): + raise PhysicalStateV21Error("Golden AMESim provenance lacks .var/.results members.") + layout = golden.get("layout") + keys = layout.get("projectionKeys") if isinstance(layout, Mapping) else None + checkpoints = golden.get("checkpoints") + if not isinstance(keys, list) or not isinstance(checkpoints, list) or not checkpoints: + raise PhysicalStateV21Error("Golden layout/checkpoints are incomplete.") + contract_checkpoints = [] + for checkpoint in checkpoints: + if not isinstance(checkpoint, Mapping): + raise PhysicalStateV21Error("Golden checkpoint must be an object.") + values = checkpoint.get("values") + references = checkpoint.get("amesimReferenceValues") + if not isinstance(values, list) or len(values) != len(keys): + raise PhysicalStateV21Error("Golden values have the wrong layout.") + if not isinstance(references, list) or len(references) != len(keys): + raise PhysicalStateV21Error("AMESim references have the wrong layout.") + for index, value in enumerate(values): + _finite(value, field=f"golden.values[{index}]") + for index, value in enumerate(references): + if value is not None: + _finite(value, field=f"golden.amesimReferenceValues[{index}]") + contract_checkpoints.append( + { + "requestedTime": checkpoint.get("requestedTime"), + "actualTime": checkpoint.get("requestedTime"), + "available": True, + "values": dict(zip(keys, values)), + } + ) + synthetic_contract = { + "schemaVersion": PHYSICAL_STATE_V21_SCHEMA_VERSION, + "id": PHYSICAL_STATE_V21_ID, + "layout": layout, + "checkpoints": contract_checkpoints, + } + return _validate_contract(synthetic_contract) + + +def _validate_candidate_approval( + candidate: Mapping[str, object], + keys: Sequence[str], + projections: Sequence[Mapping[str, object]], +) -> None: + """Fail closed before promoting an externally aligned local candidate.""" + + alignment = candidate.get("amesimAlignmentAtGeneration") + if not isinstance(alignment, Mapping) or alignment.get("passed") is not True: + raise PhysicalStateV21Error( + "Candidate AMESim alignment at generation must have passed." + ) + metrics = alignment.get("metrics") + if not isinstance(metrics, list): + raise PhysicalStateV21Error("Candidate AMESim alignment metrics are invalid.") + evaluated_count = 0 + for index, metric in enumerate(metrics): + if not isinstance(metric, Mapping): + raise PhysicalStateV21Error( + f"Candidate AMESim alignment metric {index} is invalid." + ) + evaluated = metric.get("evaluated") + if evaluated is True: + evaluated_count += 1 + if metric.get("passed") is not True: + raise PhysicalStateV21Error( + f"Candidate AMESim evaluated metric {index} did not pass." + ) + elif evaluated is False: + exclusion_reason = metric.get("exclusionReason") + if ( + metric.get("passed") is not None + or not isinstance(exclusion_reason, str) + or not exclusion_reason.strip() + ): + raise PhysicalStateV21Error( + f"Candidate AMESim excluded metric {index} is not auditable." + ) + else: + raise PhysicalStateV21Error( + f"Candidate AMESim alignment metric {index} lacks evaluated status." + ) + if evaluated_count <= 0 or alignment.get("comparedValueCount") != evaluated_count: + raise PhysicalStateV21Error( + "Candidate AMESim comparedValueCount does not match evaluated metrics." + ) + + residual_indices: list[tuple[int, str, float]] = [] + for index, (key, projection) in enumerate(zip(keys, projections)): + if ( + projection.get("category") != "conservation" + or projection.get("unit") != "kg/s" + ): + continue + tolerance = projection.get("tolerance") + assert isinstance(tolerance, Mapping) + absolute = _finite( + tolerance.get("absolute"), field=f"{key}.tolerance.absolute" + ) + residual_indices.append((index, key, absolute)) + checkpoints = candidate.get("checkpoints") + assert isinstance(checkpoints, list) + for checkpoint_index, checkpoint in enumerate(checkpoints): + assert isinstance(checkpoint, Mapping) + values = checkpoint.get("values") + assert isinstance(values, list) + for value_index, key, absolute in residual_indices: + residual = abs( + _finite( + values[value_index], + field=f"golden.checkpoints[{checkpoint_index}].{key}", + ) + ) + if residual > absolute: + raise PhysicalStateV21Error( + f"Candidate local conservation residual {key} at checkpoint " + f"{checkpoint_index} is {residual}, exceeding {absolute}." + ) + + +def approve_candidate_golden( + candidate_path: Path | str, + output_path: Path | str, + *, + expected_candidate_sha256: str, + reviewed_by: str, + note: str, +) -> Path: + """Approve an exact candidate hash into a new file, never in place.""" + + path = Path(candidate_path).resolve() + payload = path.read_bytes() + actual_sha = _sha256(payload) + if actual_sha != expected_candidate_sha256: + raise PhysicalStateV21Error( + f"Candidate SHA mismatch: expected {expected_candidate_sha256}, got {actual_sha}." + ) + candidate = json.loads(payload) + if not isinstance(candidate, dict): + raise PhysicalStateV21Error("Candidate must be an object.") + keys, projections = _validate_golden(candidate, allowed_status="candidate") + _validate_candidate_approval(candidate, keys, projections) + if not reviewed_by.strip() or not note.strip(): + raise PhysicalStateV21Error("Approval requires reviewer and note.") + approved = dict(candidate) + approved["approval"] = { + "status": "approved", + "approvedAt": datetime.now(UTC).isoformat(), + "reviewedBy": reviewed_by.strip(), + "note": note.strip(), + "candidatePath": _portable_path(path), + "candidateSha256": actual_sha, + } + return _exclusive_json_write(output_path, approved) + + +def load_approved_golden(path: Path | str) -> dict[str, object]: + golden_path = Path(path).resolve() + payload = golden_path.read_bytes() + try: + golden = json.loads(payload) + except json.JSONDecodeError as exc: + raise PhysicalStateV21Error(f"Golden is invalid JSON: {exc}") from exc + if not isinstance(golden, dict): + raise PhysicalStateV21Error("Golden must be an object.") + _validate_golden(golden) + golden["_path"] = str(golden_path) + golden["_sha256"] = _sha256(payload) + return golden + + +def evaluate_physical_state_v21( + contract: Mapping[str, object], + golden: Mapping[str, object], +) -> dict[str, object]: + """Evaluate a v2.1 contract against frozen AMESim reference values. + + The approved artifact pins AMESim provenance, layout, checkpoint times, and + transformed AMESim values. Its frozen Python values are intentionally not + used as the physical baseline. + """ + + keys, projections = _validate_contract(contract) + golden_keys, _ = _validate_golden(golden) + if keys != golden_keys: + return { + "passed": False, + "issues": ["physicalStateV21LayoutMismatch"], + "comparedValueCount": 0, + } + actual_checkpoints = contract["checkpoints"] + expected_checkpoints = golden["checkpoints"] + assert isinstance(actual_checkpoints, list) and isinstance(expected_checkpoints, list) + if len(actual_checkpoints) != len(expected_checkpoints): + return { + "passed": False, + "issues": ["physicalStateV21CheckpointCountMismatch"], + "comparedValueCount": 0, + } + issues: list[str] = [] + reference_checkpoints: list[dict[str, object]] = [] + invariant_metrics: list[dict[str, object]] = [] + invariant_max_ratio = 0.0 + invariant_worst: dict[str, object] | None = None + for actual_checkpoint, expected_checkpoint in zip(actual_checkpoints, expected_checkpoints): + assert isinstance(actual_checkpoint, Mapping) and isinstance(expected_checkpoint, Mapping) + requested = float(expected_checkpoint["requestedTime"]) + if not math.isclose( + float(actual_checkpoint["requestedTime"]), + requested, + rel_tol=0.0, + abs_tol=1.0e-12, + ) or not math.isclose( + float(actual_checkpoint["actualTime"]), + requested, + rel_tol=0.0, + abs_tol=1.0e-12, + ): + issues.append("physicalStateV21CheckpointTimeMismatch") + actual_values = actual_checkpoint["values"] + amesim_values = expected_checkpoint["amesimReferenceValues"] + assert isinstance(actual_values, Mapping) and isinstance(amesim_values, list) + reference_values = dict(zip(keys, amesim_values)) + reference_checkpoints.append( + {"requestedTime": requested, "values": reference_values} + ) + for key, projection, amesim_baseline in zip( + keys, projections, amesim_values + ): + if amesim_baseline is not None: + continue + actual = float(actual_values[key]) + tolerance = projection["tolerance"] + assert isinstance(tolerance, Mapping) + allowed = float(tolerance["absolute"]) + error = abs(actual) + ratio = error / allowed if allowed > 0.0 else (0.0 if error == 0.0 else math.inf) + metric = { + "requestedTime": requested, + "key": key, + "category": projection["category"], + "actual": actual, + "amesimBaseline": None, + "invariantTarget": 0.0, + "absoluteError": error, + "relativeError": None, + "relativeErrorPercent": None, + "relativeErrorDefined": False, + "relativeErrorReason": "amesimBaselineUnavailable", + "allowedError": allowed, + "toleranceRatio": ratio if math.isfinite(ratio) else None, + "unboundedToleranceRatio": not math.isfinite(ratio), + "comparisonBasis": "localInvariantAbsoluteTolerance", + "passed": ratio <= 1.0, + } + invariant_metrics.append(metric) + if ratio > invariant_max_ratio: + invariant_max_ratio = ratio + invariant_worst = metric + if ratio > 1.0: + issues.append("physicalStateV21LocalInvariantMismatch") + comparison = compare_contract_to_amesim( + contract, + {"schemaVersion": 1, "checkpoints": reference_checkpoints}, + ) + raw_comparison_issues = comparison.get("issues") + if isinstance(raw_comparison_issues, list): + issues.extend( + str(issue) + for issue in raw_comparison_issues + if isinstance(issue, str) + ) + deduplicated = list(dict.fromkeys(issues)) + provenance = golden.get("provenance") + amesim_provenance = ( + provenance.get("amesim") if isinstance(provenance, Mapping) else None + ) + result = dict(comparison) + result.update({ + "passed": not deduplicated, + "issues": deduplicated, + "baselineAuthority": "amesim", + "baselineSource": "approvedArtifact.amesimReferenceValues", + "amesimProvenance": ( + dict(amesim_provenance) + if isinstance(amesim_provenance, Mapping) + else None + ), + "pythonSnapshotRole": "determinismDiagnosticOnly", + "localInvariants": { + "passed": not any( + metric["passed"] is False for metric in invariant_metrics + ), + "metricCount": len(invariant_metrics), + "maxToleranceRatio": ( + invariant_max_ratio + if invariant_metrics and math.isfinite(invariant_max_ratio) + else None + ), + "maxToleranceRatioUnbounded": bool( + invariant_metrics and not math.isfinite(invariant_max_ratio) + ), + "worstValue": invariant_worst, + "metrics": invariant_metrics, + }, + "goldenPath": golden.get("_path"), + "goldenSha256": golden.get("_sha256"), + }) + return result + + +def assess_report_against_amesim( + report_path: Path | str, + *, + archive_path: Path | str = DEFAULT_AMESIM_ARCHIVE, + case_id: str = "0.2s", + lane: str = "production", +) -> dict[str, object]: + """Assess a full or pre-v2.1 report and expose every comparable error.""" + + path = Path(report_path).resolve() + payload = path.read_bytes() + report = json.loads(payload) + if not isinstance(report, Mapping): + raise PhysicalStateV21Error("Report must be an object.") + summary = _case_summary(report, case_id=case_id, lane=lane) + if isinstance(summary.get("physicalStateV21"), Mapping): + contract = summary["physicalStateV21"] + coverage = "fullCheckpoints" + else: + contract = project_report_endpoint_v21(report, case_id=case_id, lane=lane) + coverage = "legacyEndpointOnly" + assert isinstance(contract, Mapping) + checkpoints = contract["checkpoints"] + assert isinstance(checkpoints, list) + times = [float(checkpoint["requestedTime"]) for checkpoint in checkpoints] + reference = build_amesim_reference(archive_path, checkpoint_times=times) + comparison = compare_contract_to_amesim(contract, reference) + return { + "schemaVersion": 1, + "reportPath": str(path), + "reportSha256": _sha256(payload), + "caseId": case_id, + "lane": lane, + "coverage": coverage, + "amesimProvenance": reference["provenance"], + "comparison": comparison, + } + + +def _parse_arguments(argv: Sequence[str] | None = None) -> argparse.Namespace: + parser = argparse.ArgumentParser(description="Physical-state-v2.1 local gate.") + subparsers = parser.add_subparsers(dest="command", required=True) + assess = subparsers.add_parser("assess-amesim") + assess.add_argument("--report", type=Path, required=True) + assess.add_argument("--amesim-archive", type=Path, default=DEFAULT_AMESIM_ARCHIVE) + assess.add_argument("--case", default="0.2s") + assess.add_argument("--lane", default="production") + assess.add_argument("--output", type=Path) + + candidate = subparsers.add_parser("candidate") + candidate.add_argument("--report", type=Path, required=True) + candidate.add_argument("--amesim-archive", type=Path, default=DEFAULT_AMESIM_ARCHIVE) + candidate.add_argument("--case", default="0.2s") + candidate.add_argument("--lane", default="production") + candidate.add_argument("--id") + candidate.add_argument("--output", type=Path, required=True) + + approve = subparsers.add_parser("approve") + approve.add_argument("--candidate", type=Path, required=True) + approve.add_argument("--expected-candidate-sha256", required=True) + approve.add_argument("--reviewed-by", required=True) + approve.add_argument("--note", required=True) + approve.add_argument("--output", type=Path, required=True) + + check = subparsers.add_parser("check") + check.add_argument("--report", type=Path, required=True) + check.add_argument("--golden", type=Path, required=True) + check.add_argument("--case", default="0.2s") + check.add_argument("--lane", default="production") + return parser.parse_args(argv) + + +def main(argv: Sequence[str] | None = None) -> int: + arguments = _parse_arguments(argv) + if arguments.command == "assess-amesim": + assessment = assess_report_against_amesim( + arguments.report, + archive_path=arguments.amesim_archive, + case_id=arguments.case, + lane=arguments.lane, + ) + serialized = json.dumps( + assessment, ensure_ascii=False, indent=2, allow_nan=False + ) + "\n" + if arguments.output is None: + print(serialized, end="") + else: + _exclusive_json_write(arguments.output, assessment) + print(f"Assessment written: {arguments.output.resolve()}") + return 0 if assessment["comparison"]["passed"] else 1 + if arguments.command == "candidate": + output = write_candidate_golden( + arguments.report, arguments.output, + archive_path=arguments.amesim_archive, + case_id=arguments.case, lane=arguments.lane, golden_id=arguments.id, + ) + print(f"Candidate written without approval: {output}") + print(f"sha256={_sha256(output.read_bytes())}") + return 0 + if arguments.command == "approve": + output = approve_candidate_golden( + arguments.candidate, arguments.output, + expected_candidate_sha256=arguments.expected_candidate_sha256, + reviewed_by=arguments.reviewed_by, note=arguments.note, + ) + print(f"Approved golden written: {output}") + print(f"sha256={_sha256(output.read_bytes())}") + return 0 + report = json.loads(arguments.report.read_bytes()) + contract = _case_contract(report, case_id=arguments.case, lane=arguments.lane) + evaluation = evaluate_physical_state_v21(contract, load_approved_golden(arguments.golden)) + print(json.dumps(evaluation, ensure_ascii=False, indent=2, allow_nan=False)) + return 0 if evaluation["passed"] else 1 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/app/simulation/reporting/test_mql_comparison.py b/app/simulation/reporting/test_mql_comparison.py index 5e26b29..c65173f 100644 --- a/app/simulation/reporting/test_mql_comparison.py +++ b/app/simulation/reporting/test_mql_comparison.py @@ -23,6 +23,8 @@ class TestMqlComparisonMetric: max_abs_error: float mean_abs_error: float max_rel_error: float + undefined_rel_error_count: int + near_zero_baseline_count: int final_abs_error: float @@ -44,6 +46,10 @@ class TestMqlComparisonResult: def max_rel_error(self) -> float: return max((metric.max_rel_error for metric in self.metrics), default=0.0) + @property + def undefined_rel_error_count(self) -> int: + return sum(metric.undefined_rel_error_count for metric in self.metrics) + class TestMqlComparisonError(ValueError): """Raised when Python and AMESim series cannot be aligned.""" @@ -57,6 +63,16 @@ def compare_test_mql_series( data_paths: tuple[str, ...] | list[str] | None = None, relative_floor: float = 1.0e-12, ) -> TestMqlComparisonResult: + """Compare current values directly with AMESim simulation values. + + ``relative_floor`` only identifies near-zero baselines for reporting. It is + never substituted into the relative-error denominator. An exact zero + AMESim baseline has undefined relative error and is counted separately; + absolute error remains available for judgement. + """ + + if relative_floor < 0.0: + raise TestMqlComparisonError("relative_floor cannot be negative.") _validate_time_axis(python_times) selected_paths = _select_data_paths(python_series_by_data_path, amesim_results, data_paths) metrics = [] @@ -70,11 +86,18 @@ def compare_test_mql_series( amesim_values = amesim_results.series(data_path) abs_errors = [] rel_errors = [] + undefined_rel_error_count = 0 + near_zero_baseline_count = 0 for time_value, python_value in zip(python_times, python_values): amesim_value = interpolate_series_value(amesim_results.times, amesim_values, time_value) abs_error = abs(python_value - amesim_value) abs_errors.append(abs_error) - rel_errors.append(abs_error / max(abs(amesim_value), relative_floor)) + if abs(amesim_value) <= relative_floor: + near_zero_baseline_count += 1 + if amesim_value == 0.0: + undefined_rel_error_count += 1 + else: + rel_errors.append(abs_error / abs(amesim_value)) final_amesim_value = interpolate_series_value( amesim_results.times, amesim_values, @@ -87,6 +110,8 @@ def compare_test_mql_series( max_abs_error=max(abs_errors, default=0.0), mean_abs_error=sum(abs_errors) / max(len(abs_errors), 1), max_rel_error=max(rel_errors, default=0.0), + undefined_rel_error_count=undefined_rel_error_count, + near_zero_baseline_count=near_zero_baseline_count, final_abs_error=abs(python_values[-1] - final_amesim_value), ) ) @@ -153,8 +178,19 @@ def write_test_mql_comparison_csv( float(time_value), ) abs_error = abs(python_value - amesim_value) - rel_error = abs_error / max(abs(amesim_value), 1.0e-12) - row.extend([python_value, amesim_value, abs_error, rel_error]) + rel_error = ( + None + if amesim_value == 0.0 + else abs_error / abs(amesim_value) + ) + row.extend( + [ + python_value, + amesim_value, + abs_error, + "" if rel_error is None else rel_error, + ] + ) writer.writerow(row) summary_lines = [ @@ -163,6 +199,7 @@ def write_test_mql_comparison_csv( f"max_abs_error={metric.max_abs_error:.12g}, " f"mean_abs_error={metric.mean_abs_error:.12g}, " f"max_rel_error={metric.max_rel_error:.12%}, " + f"undefined_rel_error_count={metric.undefined_rel_error_count}, " f"final_abs_error={metric.final_abs_error:.12g}" ) for metric in comparison.metrics diff --git a/constraints/python312-linux-x86_64.lock b/constraints/python312-linux-x86_64.lock new file mode 100644 index 0000000..26cd8df --- /dev/null +++ b/constraints/python312-linux-x86_64.lock @@ -0,0 +1,31 @@ +# Fully resolved release lock for CPython 3.12 on manylinux_2_28-compatible +# Linux x86_64. Resolved and wheel-verified on 2026-08-18. +# +# Install this file as a requirements file (with -r), not as a constraint +# (with -c). Each package is pinned to the wheel selected for the reference +# platform, and pip verifies that wheel against its SHA-256 digest. +--only-binary=:all: +--require-hashes + +annotated-doc==0.0.5 --hash=sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101 +annotated-types==0.8.0 --hash=sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0 +anyio==4.14.2 --hash=sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494 +click==8.4.2 --hash=sha256:e6f9f66136c816745b9d65817da91d61d957fb16e02e4dcd0552553c5a197b76 +fastapi==0.141.1 --hash=sha256:bfb91aa2d334c61cb35ba9a116fc123b3d3df31640b801cf57a7a78ec3f603b3 +h11==0.16.0 --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 +httptools==0.8.0 --hash=sha256:b15fc622b0f869d19207c4089a501d9bcc63ca5e071ffdd2f03f922df882dcb2 +idna==3.18 --hash=sha256:7f952cbe720b688055e3f87de14f5c3e5fdaa8bc3928985c4077ca689de849a2 +lxml==6.1.1 --hash=sha256:ebe6af670449830d6d9b752c256a983291c766a1365ba5d5460048f9e33a7818 +numpy==2.5.2 --hash=sha256:3cdec01fa790a186d430433fdd4d4ffb70eed6f0eeb4bf05c8dbe2dce0a9bcb8 +pydantic==2.13.4 --hash=sha256:45a282cde31d808236fd7ea9d919b128653c8b38b393d1c4ab335c62924d9aba +pydantic-core==2.46.4 --hash=sha256:926c9541b14b12b1681dca8a0b75feb510b06c6341b70a8e500c2fdcff837cce +python-dotenv==1.2.3 --hash=sha256:904552145e8bfed22162c09dab1c2b9b54fefa7b23ba780f4f26ca0316b0f0d9 +PyYAML==6.0.3 --hash=sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc +scipy==1.18.0 --hash=sha256:1f55797419e16e7f30cf88ffb3113ce0467f00cfe3f70d5c281730b21769bfc2 +starlette==1.6.0 --hash=sha256:a86dd39d14bb45f85a3d18525215a9ef0cfd1f192ac793220e72598c90335f0c +typing-extensions==4.16.0 --hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8 +typing-inspection==0.4.4 --hash=sha256:65b8397ba37ccbce054456aaccddfc91e6e3083c92824df348d96ca832f3f147 +uvicorn[standard]==0.52.3 --hash=sha256:116af2710dbf47c80f463cd20ee4884b6662f4c9f227d797ddc7279d2fcc2c7c +uvloop==0.22.1 --hash=sha256:7b5b1ac819a3f946d3b2ee07f09149578ae76066d70b44df3fa990add49a82e4 +watchfiles==1.2.0 --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 +websockets==17.0.1 --hash=sha256:f47b0815af3948ec6a440b3afa02f05b18cc0939549e91b5c677b5d9c2c8472a diff --git a/docs/other/求解器性能优化任务清单.md b/docs/other/求解器性能优化任务清单.md index b42ee41..e9e892e 100644 --- a/docs/other/求解器性能优化任务清单.md +++ b/docs/other/求解器性能优化任务清单.md @@ -6,8 +6,9 @@ > 基线模型：`tests/data/test_mql-full-branches-01-04.xml` > 模型 SHA-256：`2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48` > 当前主固化目标：`tests/data/test-mql-8.xml` -> 主目标 XML SHA-256：`170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3` -> 配套项目 JSON：`tests/data/test-mql-8.json`，SHA-256 `258c50ee4850baa72fb7c2cc24536d0a631fc6a7f1fa6cedb7b6eea7c857cbaa` +> 主目标 XML SHA-256：`0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b` +> 配套项目 JSON：`tests/data/test-mql-8.json`，SHA-256 `b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18` +> AMESim 权威物理基线归档：`AmesimModels/test_mql.ame`，SHA-256 `cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb` ## 1. 使用规则 @@ -17,6 +18,9 @@ - 只有同时完成代码、自动测试、基准复测和本文档更新后，任务才可标记为“已完成”。 - 每次性能对比必须记录代码提交、工作树状态、输入哈希、解释器与依赖版本、硬件和运行参数。 - 正确性门槛先于速度收益。若结果越过误差契约，即使运行更快也不能合入默认路径。 +- AMESim 归档中的仿真结果是物理数值正确性的唯一基线；每次正式回归都必须按投影逐项计算并保存当前值、AMESim 基线值、绝对误差和相对误差。 +- Python exact/state golden 仅用于检测确定性、实现漂移和输出契约变化，不得单独或与本地 physical golden 一起批准物理正确性。 +- AMESim 基线为 0 时相对误差在数学上未定义，报告写为 `null` 并用绝对误差判定；AMESim 未保存的内部守恒量必须明确标记为不可外部比较，并继续执行独立绝对残差门。 - 容差、模型方程或输出字段发生变化时，必须单独说明；不得将其伪装成纯性能优化。 - 墙钟时间只在同一台机器、相同负载和相同环境下直接比较；跨环境以工作量计数和正确性指标为主。 - 每项优化都应保留明确的关闭开关或旧路径，直到新路径经过复杂模型和通用回归验证。 @@ -101,17 +105,17 @@ | 项目 | 主目标值 | | --- | ---: | -| 运行组件 / 连接 | 152 / 174 | -| 动态组件 / 连续状态 | 54 / 124 | -| 代数未知量 / 方程 | 760 / 760 | -| ODE Jacobian 结构 | 3296 nnz / 52 色 | -| 因果 effort / flow 赋值 | 432 / 328 | -| secondary 代数块 / 未知量 | 12 / 352 | -| 结果变量 | 1,716 | -| 原始 `tStop / sampleStep / maxStep` | 0.2 / 0.01 / 0.01 s | +| 运行组件 / 连接 | 156 / 178 | +| 动态组件 / 连续状态 | 58 / 132 | +| 代数未知量 / 方程 | 776 / 776 | +| ODE Jacobian 结构 | 3280 nnz / 52 色 | +| 因果 effort / flow 赋值 | 440 / 336 | +| secondary 代数块 / 未知量 | 12 / 368 | +| 结果变量 | 1,784 | +| 原始 `tStop / sampleStep / maxStep` | 10 / 0.01 / 0.001 s | | 信号断点 | 0.04、0.8 s | -本轮参考环境使用仓库 `.venv`：Python 3.12.3、NumPy 2.5.2、SciPy 1.18.0。`.python-version` 与 `constraints/python312-direct.txt` 已固定 Python 和六个直接依赖，README、CI 与依赖契约测试使用同一安装口径；它有意不锁平台相关传递依赖与 wheel 哈希，因此是可审计的参考约束，不是发布级逐位锁。机器可读 manifest 与 runner 分别位于 `tests/baselines/simulation/test_mql_8/manifest.json` 和 `app/simulation/benchmark_regression.py`；默认顺序为 `0.01 smoke → 0.2 → 1 → 5 → 10 s`，每档均有合作取消、硬终止、资源记录与后续档延迟门，且 `sampleStep` 与 `maxStep` 可按 lane 独立覆盖。 +本轮正式环境使用仓库 `.venv`：Python 3.12.3、NumPy 2.5.2、SciPy 1.18.0。`.python-version` 与 `constraints/python312-direct.txt` 固定跨平台开发参考；`constraints/python312-linux-x86_64.lock` 则固定 Linux x86_64 发布环境的 22 个直接/传递包、wheel SHA-256，并强制 binary-only 与 hash 校验。README、CI 与依赖契约测试使用同一安装口径。机器可读 manifest 与 runner 分别位于 `tests/baselines/simulation/test_mql_8/manifest.json` 和 `app/simulation/benchmark_regression.py`；默认顺序为 `0.01 smoke → 0.2 → 1 → 5 → 10 s`，每档均有合作取消、硬终止、资源记录与后续档延迟门，且 `sampleStep` 与 `maxStep` 可按 lane 独立覆盖。 ## 3. 总体验收协议 @@ -146,25 +150,51 @@ - stream/热流体迭代次数、物性缓存命中率、事件候选与定位次数。 - 输出标量数、编码字节数、传输字节数和后处理峰值内存。 +### 3.4 P0 最大积分步长路径鲁棒性门 + +权威工程场景固定为 `test-mql-8.json` 经浏览器导出并由服务执行的同一系统语义，方法为 BDF。短基线使用 +`tStop=0.2 s`、`sampleStep=0.01 s`、`maxStep=0.001 s`；长基线只将 `tStop` 延长到 +`10 s`。`sampleStep` 是输出网格，`maxStep` 是积分步长上限，报告与诊断不得混用两者。 + +- **时域延长不变量**：固定模型、容差、方法和 `maxStep` 时，如果较短的 `tStop=T1` 能完成，则 + `T2>T1` 的运行不得因数值错误在 `T1` 之前提前结束。只比较严格位于 `T1` 之前的公共检查点； + 短任务终点的 accepted endpoint 与长任务内部插值单独标记，不作位级误判。 +- **步长细化可解性不变量**：在约定工程区间内，如果较大的 `maxStep` 能完成同一时域，则更小 + `maxStep` 不得反而出现不可恢复数值失败。更小上限可以更慢；若仅因工作量增加超过预算，必须归类为 + `budget_limited` 并证明仍持续推进，不能记为 solver failure 或借此选择一个“幸运步长”。 +- [ ] 首先对账 JSON、浏览器生成的 System XML、服务请求和 worker 最终生效参数；保存输入哈希，禁止用 runner 的内存覆盖掩盖浏览器路径问题。 +- [ ] 浏览器当前工程验收明确为失败：`0.2 s / 0.001 s` 在 `t≈0.0489 s` 被判定计算超时；离线 production runner 的完成记录只作对照，不能写成浏览器正常完成。必须用同一 JSON 复现并分类为内部慢步、求解器真停滞、后处理/传输或服务假超时。 +- [ ] 第一阶段在其余参数不变时串行运行 `tStop={0.2,1} s × maxStep={0.001,0.002,0.005,0.01,0.02} s` 的短时二维矩阵；最终签收要求所有单元到达终点，不得出现 NaN/Inf、不可恢复数值错误或无解释回退。定位阶段允许记录有持续进展证据的 `budget_limited`，但它既不算数值失败，也不算通过。 +- [ ] 短时二维矩阵通过后，再按相同契约依次延长到 `2 s → 5 s → 10 s`；每一档先运行权威 `0.001 s`，再运行代表性的 `0.005/0.02 s`，最后补齐其余步长。每一档先确认同 `maxStep` 公共前缀，再进入下一档，不因较长 `tStop` 改变已覆盖区间的成败结论。 +- [ ] 跨 `maxStep` 不要求逐位相同；按积分状态、派生量、关键压力/流量、守恒量、事件和离散模式分别验收，近零派生加速度不得使用统一相对误差误判真实积分状态。 +- [ ] 每个 `0.01 s` 模拟区间记录墙钟、实际 `h_abs`/BDF 阶次、接受/拒绝步、重启、`nfev/njev/nlu`、Jacobian 构建、stream/热流体闭合与恢复轨迹；性能悬崖必须能定位到具体阶段和组件。 +- [ ] 内部 RHS、Jacobian、stream/热流体闭合或恢复循环仍有活动时，服务持续发送活动心跳，浏览器不得因 60 s 内没有接受步而误判卡死；真正无活动必须有界终止并报告最后阶段、时刻、步长和计数。 +- [ ] 将终止结果明确分类为 `numerical_failure`、`service_timeout_worker_active`、`active_slow_trial`、`true_stall` 或 `budget_limited`；浏览器超时始终属于工程路径未通过，但在证据不足时不得冒充数值失败。 +- [ ] 任一会改变数值路径、事件语义、容差或默认求解策略的修复，必须先形成“复现证据 → 首个异常阶段 → 根因假设 → 最小方案 → A/B 判据 → 回退方式”，提交审阅后再实施；每轮只修改一个概念并先复跑原失败单元。 +- [ ] 在 `0.2/1 s` 短时门通过后，依次取得 `2/5/10 s` 数据；在对本次长跑做任何性能调优前，先完整取得一次 `10 s / 0.001 s` 原始基线，完成后才按时间线选择最小优化并复跑完整阶梯。 + +该门的目标不是寻找一个“碰巧能跑”的固定 `maxStep`，也不是要求所有步长得到位级相同轨迹，而是让合理工程区间内的 +`maxStep` 只影响可解释的误差与成本，不决定仿真能否完成。 + ## 4. 优化任务总览 优先级定义：`P0` 为基线或正确性前置，`P1` 为主要性能收益，`P2` 为第二阶段，`P3` 为战略性或条件性工作。 | ID | 优先级 | 任务 | 当前状态 | 难度 | 预期价值 | 主要依赖 | | --- | --- | --- | --- | --- | --- | --- | -| OPT-00 | P0 | 固化复现、环境和回归基线 | 部分实现（基础闭环） | 中 | 很高 | 无 | +| OPT-00 | P0 | 固化复现、环境和回归基线 | 重新打开（离线基线完成；浏览器路径失败待定位） | 中 | 很高 | 无 | | OPT-01 | P1 | 完成因果代数内核与坐标消元 | 基本完成（主要矛盾闭环） | 中高 | 中高 | OPT-00 | | OPT-02 | P1 | 建立扁平数值 IR 和数组执行内核 | 部分实现（参考 IR） | 很高 | 很高 | OPT-01 | | OPT-03 | P1 | 稀疏 Jacobian 数值层与解析/半解析演进 | 部分实现 | 很高 | 很高 | OPT-00；解析链可与 OPT-02 分阶段 | | OPT-04 | P1 | stream 拓扑传播与物性成组复用 | 部分实现 | 中高 | 中高 | OPT-00 | -| OPT-05 | P1 | 状态缩放、分量容差和步长策略 | 部分实现（可恢复试探步） | 中高 | 中高 | OPT-00 | +| OPT-05 | P0/P1 | 最大积分步长路径鲁棒性、状态缩放和步长策略 | 进行中（P0 阻断） | 中高 | 很高 | OPT-00 | | OPT-06 | P2 | 事件检测与 dense output 按需化 | 部分实现 | 中 | 中 | OPT-00 | | OPT-07 | P2 | 输出、后处理和传输内存优化 | 未开始 | 中 | 中高（长仿真） | OPT-00 | -| OPT-08 | P2 | 进度、取消和服务并发鲁棒性 | 部分实现 | 中 | 中 | OPT-00 | -| OPT-09 | P0/P2 | 建立 10 s 长时验证与模式覆盖 | 进行中 | 中高 | 很高 | OPT-00 | +| OPT-08 | P0/P2 | 进度、取消和服务并发鲁棒性 | 进行中（浏览器 `0.0489 s` 失败待定位） | 中 | 很高 | OPT-00、OPT-05 P0 门 | +| OPT-09 | P0/P2 | 建立 10 s 长时验证与模式覆盖 | 进行中（权威 `0.001 s` 基线未完成） | 中高 | 很高 | OPT-00、OPT-05 P0 门、OPT-08 服务门 | | OPT-10 | P3 | 明确高指数 DAE/强非光滑系统边界 | 未开始 | 很高 | 条件性 | OPT-09 | -推荐实施顺序：`OPT-00 → OPT-03/OPT-01 → OPT-04/OPT-05 → OPT-02 → OPT-06/OPT-07/OPT-08 → OPT-09`。其中 OPT-02 与 OPT-03 可先做最小原型，再根据端到端数据调整顺序。 +当前推荐实施顺序：`OPT-00 浏览器失败复现 → OPT-05/OPT-08 定位并解除 0.2 s 阻断 → 0.2/1 s × 五档 maxStep 短时鲁棒性门 → 2/5/10 s 逐级延长 → OPT-09 首次 10 s / 0.001 s 完整基线 → 基于时间线提案、审阅、单项优化与完整复验`。OPT-01/02/03/04 的既有成果保留，但在该 P0 工程门通过前不以单点性能收益替代鲁棒性验收。 ## 5. 详细任务 @@ -172,42 +202,56 @@ **目标**：先让“是否更快、是否仍正确、是否又卡住”可以稳定复现和自动判断。 -**当前状态**：P0 基础设施与新主目标的有界 `0.2 s` 基线已经闭环：权威 XML/JSON、参考依赖约束、仓库内 runner、状态 golden、输出形状契约、三层 CI 和机器可读报告均已建立。完整 OPT-00 仍缺发布级依赖锁、远端 CI 首次实跑、历史 `2.10 s` 三次复测以及更长时域的批准 golden。 +**当前状态**：重新打开工程端到端复核。2026-08-18 的离线 production runner、发布锁、golden、physical-state-v2.1、历史 `2.10 s` 三次复测和本地自动测试证据继续有效；但浏览器使用权威 JSON、BDF、`tStop=0.2 s`、`sampleStep=0.01 s`、`maxStep=0.001 s` 时当前会在 `t≈0.0489 s` 被判定计算超时，工程验收结果为失败。离线 runner 的完成记录不能替代浏览器结果；同 `maxStep` 的时域延长不变量和减小 `maxStep` 的可解性不变量也尚未验收。 **工作项**： - [x] 将新主目标 XML/JSON 放入固定 fixture 路径，并在 manifest/测试中校验双哈希、字节数和配对配置；提交本轮工作时必须一并纳入版本控制。 -- [x] 建立 Python 3.12.3 与六个直接依赖的跨平台参考约束，并在 CI 中校验；发布级传递依赖/wheel 哈希锁仍待后续。 +- [x] 建立 Python 3.12.3 与六个直接依赖的跨平台参考约束，并建立 Linux x86_64 的 22 个直接/传递包、binary-only wheel SHA-256 发布锁；空 venv 离线安装、`pip check` 与依赖契约均通过。 - [x] 将临时探针整理为仓库内可重复运行的 benchmark，不依赖 `/tmp` 文件。 - [x] 添加 `0.81 s` 和仅改 `tStop=2.10 s` 的历史标准运行入口。 - [x] 添加模型结构快照断言；结构有意变化时显式更新原因。 -- [x] 建立 `physical-state-v2` 的首批 state/checkpoint/event 投影，并批准 production `0.2 s` golden。 -- [ ] 将关键压力、流量、守恒量和离散模式加入 `physical-state-v2.1` 数值投影。 +- [x] 建立 `physical-state-v2` 的首批 state/checkpoint/event 投影；其 Python golden 现仅作为 production `0.2 s` 的确定性与实现回归诊断。 +- [x] 将关键压力、质量流量、三类质量守恒、总储气质量和离散模式加入 `physical-state-v2.1`，绑定 AMESim 单位/符号变换，并在每次运行时以 AMESim reference values 执行物理门。 - [x] 将无数值的完整输出形状契约与物理状态 golden 分开；完整 API 序列化契约若需逐字段稳定性，后续另行定义。 - [x] 建立短 CI、夜间 `0.81/2.10 s`、定期递进至 `10 s` 的三层 workflow；远端首次执行待提交后确认。 - [x] 保存带环境、仓库、输入、运行统计和验收结果的机器可读 JSON 报告。 +- [ ] 以权威 JSON 经浏览器生成 XML 并走流式 API 的真实路径完成 `0.2 s / 0.001 s`，与 production worker 对账输入哈希、生效参数、事件、物理量和最终结果；定位并消除 `t≈0.0489 s` 的计算超时或假超时。 +- [ ] 通过第 3.4 节的 `0.2/1 s × 五档 maxStep` P0 短时矩阵与两条不变量；既有 `0.01/0.02/0.05/0.10 s` 历史运行不能替代缺失的 `0.001 s` 工程验收。 **验收条件**： -- [ ] 干净环境一条命令可复现；当前参考约束、`pip check`、soft/hard timeout、worker error 与 correctness failure 分类已完成，独立无进度看门狗、服务级故障分类和发布级空环境重建尚未验收。 -- [ ] 正式环境连续 3 次完成 `2.10 s`，结果满足数值契约且无非预期回退。 +- [x] 干净环境可按发布锁一条安装命令复现：全新空 venv 使用 22 个锁定 wheel 与 SHA-256 完成安装，`pip check`、锁定环境契约和最终 quick workflow 同口径测试通过。 +- [x] 正式 production 环境严格串行 3 次完成 `0.81/2.10 s`；两档检查点、状态、事件、输出契约和除计时外的诊断逐值一致，无非有限值或非预期回退。 - [x] 新主目标 `0.2 s` 性能报告完整记录环境、提交、工作树、输入哈希和统计口径。 +- [ ] 浏览器/服务/worker 三条路径对权威 `0.2 s / 0.001 s` 均能完成且不会发生无证据的 60 s 假停滞；真实无活动仍能有界退出并提供诊断。 **前后对比**： | 指标 | 当前 | 完成后 | | --- | --- | --- | -| 正式锁定环境 | 无 | Python 3.12.3 + 直接依赖参考约束；发布锁待补 | -| 复杂模型自动回归 | 部分 | 新主目标 0.01/0.2/1/5/10 递进 + 历史 0.81/2.10 入口 | -| 物理解哈希 | 环境相关 v1 | production 0.2 state golden + 独立 output shape contract | -| `2.10 s` 连续成功率 | 单次证据 | 待填 | +| 正式锁定环境 | Python 3.12.3 + 22 包 hash lock | 空 venv 安装、`pip check`、依赖契约通过 | +| 复杂模型自动回归 | 新主目标 0.01/0.2 分层门禁 | 1/5/10 递进入口 + 历史 0.81/2.10 production 入口 | +| 物理解哈希 | 142 个状态键 × 3 检查点 | Python state golden 作确定性诊断 + output shape + AMESim 当次相对误差物理门 | +| `2.10 s` 连续成功率 | 3/3 | worker 墙钟 113.497–115.868 s，逐值一致且 0 回退 | + +#### 2026-08-18 / AMESim 权威基线对齐与 OPT-00 收口 + +- 状态：部分实现 → 已完成（本地验收）。AME 归档固定 SHA-256 `cbc3aadd...`；XML/JSON 修正后的 SHA-256 分别为 `0a2d9331...`、`b44bf540...`，仿真配置统一为 `0→10 s / sampleStep=0.01 s / maxStep=0.001 s`。 +- 权威契约：直接解析 AME 的 117 个 COMP 与 40 个建模 LINE，推导出 157 个项目节点、178 条连接、20 类组件和 1092 个参数；单位转 SI、表压转绝压、公式等价、DIRECT/接触/线模型拓扑以及 XML↔JSON 逐 ID/端口均有自动测试。 +- 权威物理门：production `0.2 s` 每次都把当前 physical-state-v2.1 投影直接与 AMESim reference values 比较并保存相对误差；25 项参与判定，2 个 `t=0.04 s` 跳变流量保留误差但因左右极限语义不参与判定，另有 6 项无 AMESim 数据的内部守恒量单独执行绝对残差门。Python 142 个状态键 × 3 个检查点的 426 值 golden 仅作确定性诊断，不再批准物理正确性。 +- 历史最终报告：`runs/2026-08-18-production-opt00-approved-replay-0.2.json`，SHA-256 `2e27cd54...`；worker/orchestration 墙钟 `159.607/160.473 s`。其中 Python 值零重放误差是确定性证据；物理结论以该次结果对 AMESim 的最差相对误差 `0.1393485%` 为准，最大质量守恒残差为 `1.82146e-17 kg/s`。 +- 历史稳定性：production `0.81/2.10 s` 严格串行运行三次，所有 case 通过；`2.10 s` worker 墙钟分别为 `114.075/113.497/115.868 s`，机械事件时刻、检查点、1200 个状态值和除性能计时外的诊断逐值一致。 +- 环境与自动化：新增 22 包 Linux x86_64 hash lock，并在全新空 venv 完成离线安装和 `pip check`；最终 quick workflow 同口径为 179 项通过（2 项预期跳过），完整后端为 849 项通过（3 项预期跳过）。 +- 递进边界：由最终 `0.2 s` worker 时间按 `×5×1.5` 外推，`1 s` 为 `1197.053 s`，略低于 1200 s soft budget，因此记录为下一阶段 `eligible`；本次 OPT-00 不启动 1/5/10 s，后续长时递进仍归 OPT-09。 +- 远端说明：workflow 已使用相同 hash lock 与测试命令；本轮未获授权提交/推送，因此没有声称远端 CI 已运行，提交后的首次托管运行作为运营证据补充。 #### 2026-08-17 / `test-mql-8` 固化 runner v2 - 状态：进行中 → 部分实现（P0 基础闭环）。新权威 XML/JSON、双哈希、结构快照、参考环境约束、分层 manifest、机器可读报告、批准的 production `0.2 s` golden 和仓库内 runner 已建立；发布级依赖锁、关键代数量投影以及该里程碑时尚未运行的 1/5/10 s 结果仍待后续。 - runner 行为：默认严格按 `0.01 smoke → 0.2 → 1 → 5 → 10 s` 递进；smoke 不参与耗时外推。soft deadline 先经 stdin 合作取消，hard deadline 再 terminate/kill；失败、超时、物理验收失败或下一档预测超过预算时，剩余档位统一标记 `deferred`。 - 已执行正确性门：完成并到达终点、非空且全有限的输出序列、采样时间严格递增、检查点及状态值、最大缩放残差、预期信号事件及其实际积分分段、机械切换次数/时刻、golden 来源报告与布局哈希、逐状态容差比较和独立 output-shape contract。 -- 两条 lane：manifest 中 `solver-only` 在内存把 `sampleStep` 改为 0.02 s，并把 `maxStep` 固定为 0.05 s，用于算法迭代；`production` 的 `sampleStep/maxStep` 均使用权威 XML 源值，当前为 0.01/0.01 s。max-step 矩阵可再显式覆盖单次运行的 `maxStep`；所有覆盖都只发生在内存，不改写 XML。 +- 两条 lane：该 2026-08-17 里程碑的 manifest 中，`solver-only` 在内存把 `sampleStep` 改为 0.02 s，并把 `maxStep` 固定为 0.05 s，用于算法迭代；当时 SHA `170463d6...` 的 `production` 源值为 `sampleStep/maxStep=0.01/0.01 s`。当前 2026-08-18 权威 AME/XML/JSON 已统一为 `sampleStep/maxStep=0.01/0.001 s`；旧报告仅作历史证据。 - 进程鲁棒性：软取消、硬终止、子进程提前关闭 stdin 的 BrokenPipe 和 stdout/stderr 资源清理均有自动测试。 - 备份：`backup/general-solver-v1-before-20260817-16a7eb2` 精确指向进入本轮前的 `16a7eb2d6c2f01b23e3bdc7781a6cf6cc3fbe369`。 - P0 证据：`tests/baselines/simulation/test_mql_8/runs/2026-08-17-production-v2-0.2.json`、`goldens/production-0.2s-v1.json` 与 `runs/2026-08-17-production-v2-extension-decision.json`。 @@ -222,7 +266,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ --output tests/baselines/simulation/test_mql_8/runs/latest-production.json ``` -正式验收默认使用 `production`，从而执行已批准的 0.2 s 数值 golden；算法迭代若需降低输出成本，可显式改为 `--lane solver-only`。仅重跑首个正式基线档可加 `--case 0.2s`。 +正式验收默认使用 `production`，从而对 `0.2 s` 当前结果执行 AMESim 权威物理基线比较；Python 数值 golden 同时输出确定性诊断但不作为物理通过依据。算法迭代若需降低输出成本，可显式改为 `--lane solver-only`。仅重跑首个正式基线档可加 `--case 0.2s`。 命令退出码约定：`0` 表示所有选定档完成，`2` 表示依据预算安全暂缓后续档，`1` 表示运行失败或正确性验收失败。显式选择 `1s/5s/10s` 时，runner 仍会自动补齐并先执行所有较短前置档。 ### OPT-01 完成因果代数内核与坐标消元 @@ -502,11 +546,11 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ | `2.10 s` 压力闭合 | 57,601 | 待填 | | 物性调用 / 缓存命中率 | 待测 | 待填 | -### OPT-05 状态缩放、分量容差和步长策略 +### OPT-05 最大积分步长路径鲁棒性、状态缩放和步长策略 -**目标**：减少量纲差异造成的不必要小步和 Jacobian 重建，同时维持事件与守恒精度。 +**目标**：首先保证在合理 `maxStep` 工程区间内，步长上限只影响可解释的误差和成本，而不决定仿真能否完成；随后再减少量纲差异造成的不必要小步和 Jacobian 重建，同时维持事件与守恒精度。 -**当前状态**：模型中不同物理量的量级差异大。历史试验显示机械绝对容差放宽可能带来约 16% 收益，但属于精度策略变化；热流体固定点容差的简单放宽曾使表现变差，不能直接采用。当前已先完成不改变容差契约的可恢复试探步：按积分器实际 `h_abs` 对半退避，并在首次接受后恢复分段步长上限。Generic 显式 opt-in，即使模型无状态事件、断点或取消回调，也会进入支持重建的 stepwise 路径；普通 `integrate_ode` 调用者的默认路径不变。分量 `atol`、缩放和标准/快速配置仍未开始。 +**当前状态**：P0 阻断、先定位。模型中不同物理量的量级差异大。历史试验显示机械绝对容差放宽可能带来约 16% 收益，但属于精度策略变化；热流体固定点容差的简单放宽曾使表现变差，不能直接采用。当前已先完成不改变容差契约的可恢复试探步：按积分器实际 `h_abs` 对半退避，并在首次接受后恢复分段步长上限。Generic 显式 opt-in，即使模型无状态事件、断点或取消回调，也会进入支持重建的 stepwise 路径；普通 `integrate_ode` 调用者的默认路径不变。权威浏览器场景 `BDF / 0.2 s / sampleStep=0.01 s / maxStep=0.001 s` 当前在 `t≈0.0489 s` 计算超时，已构成工程失败；尚须用同 JSON 的 browser/API/worker A/B 定位其属于数值热点、服务假超时或二者叠加。既有 `2 s` 矩阵没有覆盖 `0.001 s`，也未系统验证时域延长与步长细化不变量，不能替代本次 P0 门。 **工作项**： @@ -516,6 +560,12 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ - [ ] 统计限制步长的状态分量、误差拒步和 Jacobian 重建原因。 - [ ] 对事件前后、接触临界区和稳态区分别评估步长上限策略。 - [ ] 建立严格/标准/快速配置，但默认配置必须有明确精度契约。 +- [ ] 用完全相同的 JSON 生成请求，对浏览器流式路径与 production worker 做同参 A/B，逐层核对 requested/effective `tStop/sampleStep/maxStep/method`。 +- [ ] 围绕 `t=0.04–0.05 s` 按模拟区间记录 BDF 阶次、实际 `h_abs`、接受/拒绝步、重启、Jacobian/RHS/闭合耗时及最坏组件，定位 `0.0489 s` 的首次性能悬崖。 +- [ ] 在改变算法前提交定位报告与候选方案供审阅，明确证据、影响面、正确性风险、预期计数变化和回退方式；获准后只实施一个概念，并以原失败单元及同一行/列相邻配置做 A/B。 +- [ ] 审计失败试探的事务恢复、缓存、端口和离散模式，证明失败点不会污染下一条缩步路径。 +- [ ] 只在证据支持时对事件、接触、流向或闭合边界使用局部步长上限、有界缩步或模式感知策略；禁止靠全程硬编码某个“幸运” `maxStep` 收口。 +- [ ] 将第 3.4 节的 `0.2/1 s × 五档` 二维矩阵设为每次步长/缩放改动的 P0 回归；短时通过后再按 `2/5/10 s` 逐级验证公共前缀。 - [x] 对可恢复的热流体闭合失败使用积分器实际试探步 `h_abs` 对半回退；最多 16 次且不低于 64 ULP，恢复步仅设置 `first_step`，首次接受后恢复分段 `maxStep` 上限并记录 attempted/next step。 - [x] 为 eventless Generic 显式启用 `recoverable_trial_retries`，使没有状态事件、断点或取消回调的通用模型也能选择 stepwise 恢复；该参数默认关闭，避免改变其他调用者的直接 `solve_ivp` 语义。 @@ -524,6 +574,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ - [ ] 每个配置都有状态、事件、残差和守恒误差界限。 - [ ] 标准配置在复杂模型上减少拒步或分解工作，不引入模式遗漏。 - [ ] 所有收益报告同时给出误差变化，禁止只报告墙钟。 +- [ ] 满足第 3.4 节 P0 门：短时二维矩阵满足时域延长与步长细化不变量，事件/模式/守恒满足分类契约，任何性能悬崖都有可复现的阶段与组件归因。 ### OPT-06 事件检测与 dense output 按需化 @@ -570,7 +621,7 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ **目标**：区分“内部慢步”和“真正无进度”，并让长任务可取消、可限流、不会拖垮服务进程。 -**当前状态**：已有 stream 进度和取消检查；前端无进度阈值约 60 s。历史 2.05 s 附近可见最大间隔约 7.5 s，且中间有接受步与 CPU 活动，因此没有触发真实无进度条件。当前又补充了热流体失败位置、迭代尾部、最差端口及求解器恢复轨迹；`5 s / maxStep=0.05 s` 在 1200 s soft budget 后合作取消并保留 `t=4.2523535 s` 的部分诊断，属于预算终止而非 solver failure。单格 max-step 矩阵不再把“没有跨步长比较对”误判为失败。 +**当前状态**：P0 服务门进行中。已有 stream 进度和取消检查；前端无接受步进度阈值约 60 s。历史 2.05 s 附近可见最大间隔约 7.5 s，且中间有接受步与 CPU 活动，因此没有触发真实无进度条件。当前又补充了热流体失败位置、迭代尾部、最差端口及求解器恢复轨迹；`5 s / maxStep=0.05 s` 在 1200 s soft budget 后合作取消并保留 `t=4.2523535 s` 的部分诊断，属于预算终止而非 solver failure。单格 max-step 矩阵不再把“没有跨步长比较对”误判为失败。权威 `0.2 s / 0.001 s` 浏览器运行当前在 `t≈0.0489 s` 计算超时，浏览器工程门已经失败；但根因尚未确定，必须追踪前端 60 s 计时器、NDJSON 心跳、API worker 与内部求解活动，不能直接等同于求解器死锁。 **工作项**： @@ -580,6 +631,8 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ - [ ] 限制并发仿真 worker、队列长度和单任务 CPU/内存预算。 - [ ] 超时报告最后活动阶段、模拟时刻、步长和关键计数，而非只返回通用错误。 - [ ] 添加故意慢 RHS、死循环防护、客户端断连和多任务竞争测试。 +- [ ] 将活动心跳从“接受新积分步”扩展到 RHS、Jacobian 构建、stream/热流体闭合和恢复循环；至少携带 phase、wall time、last accepted time、current RHS time、`h_abs`、`nfev` 与闭合迭代。 +- [ ] 验证客户端流断开、浏览器本地 watchdog 和显式取消的语义不同；客户端误判或断连不得在无用户授权时静默丢失仍健康运行的 worker 结果。 - [x] 热流体失败记录 RHS 时刻、最近迭代尾部、最大增量/尺度/容差、最差端口及带符号差值，并保留求解器逐次恢复的 attempted/next step 与原因。 - [x] 矩阵报告分别记录外层 `soft_timeout` 和 worker 的合作 `cancelled`，避免把预算取消误记为求解器数值失败。 - [x] 单格 max-step 矩阵将空的跨步长比较集合视为“不适用”而非失败；最终 `2 s / 0.02 s` 单格复验整体通过且 `comparisonFailureCount=0`。 @@ -589,12 +642,13 @@ PYTHONPATH=. .venv/bin/python -m app.simulation.benchmark_regression \ - [ ] 正常慢步不会被误判为死锁，真实无活动能在约定时间内终止并给出诊断。 - [ ] 取消请求在每个主要阶段都能在有界时间内生效。 - [ ] 并发压力下服务仍能响应健康检查和新请求拒绝/排队逻辑。 +- [ ] 权威 `0.2 s / 0.001 s` 浏览器路径完成且不发生假超时；只要内部活动持续，60 s 无接受步不得触发 `SOLVER_STALLED`，真正无活动仍能按约定上限停止并返回最后阶段与计数。 ### OPT-09 建立 10 s 长时验证与模式覆盖 -**目标**：用实测替代“0.81 s 或 2.10 s 可以外推到 10 s”的假设。 +**目标**：用权威 JSON 的 `BDF / tStop=10 s / sampleStep=0.01 s / maxStep=0.001 s` 完整实测，替代“短仿真或较大 `maxStep` 可以外推到最终工程场景”的假设。 -**当前状态**：新主目标的 solver-only `1 s / maxStep=0.05 s` 已完成，worker 墙钟 `182.111 s`。修复前，`tStop=2 s` 与 `tStop=5 s` 在同一 `maxStep=0.05 s` 下具有相同的首次失败时刻和求解统计，均在 `t=1.859512845 s` 耗尽热流体外层 25 次；四档 `maxStep` 的失败时刻集中在 `1.8595–1.8603 s`。这说明远端 `tStop` 不是直接失败原因，它只决定运行是否到达该局部数值困难区。 +**当前状态**：权威 `0.001 s` 长基线尚未完成。既有 `10 s / maxStep=0.02 s` 只作为算法可行性、恢复机制和历史性能证据，不能签收当前 JSON 的工程基线。此前新主目标的 solver-only `1 s / maxStep=0.05 s` 已完成，worker 墙钟 `182.111 s`。修复前，`tStop=2 s` 与 `tStop=5 s` 在同一 `maxStep=0.05 s` 下具有相同的首次失败时刻和求解统计，均在 `t=1.859512845 s` 耗尽热流体外层 25 次；四档 `maxStep` 的失败时刻集中在 `1.8595–1.8603 s`。这说明远端 `tStop` 不是直接失败原因，它只决定运行是否到达该局部数值困难区。 PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复完成后，production `2 s` 的 `maxStep=0.01/0.02/0.05/0.10 s` 四个单元均到达 `2.0 s`，`caseFailureCount=0`。矩阵命令整体退出码仍为 1，原因是跨 `maxStep` 的严格状态一致性门未通过，而不是任何单元运行失败：差异集中在事件后的 8 个 MECMAS21 速度和 8 个加速度；在差异最大的一组跨 `maxStep` 终点比较中，绝对差约 `1.01e-6–1.12e-6`。`0.05/0.10 s` 两档则逐位一致。因此当前结论是“2 s 运行失败已解决”，但“跨步长数值等价”尚未签收，不能据此批准长时 golden。 @@ -633,18 +687,24 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复 **工作项**： +- [ ] 在 OPT-00 的 `0.2/1 s` 短时二维门通过后，使用同一 JSON 和 `maxStep=0.001 s` 依次延长到 `2/5/10 s`；在任何针对本次长跑的性能调优前先完整运行一次权威 `10 s / 0.001 s` 原始基线。 +- [ ] 首次长基线不得因总墙钟较长而提前当作性能失败；只有 worker、CPU 和内部活动心跳均停止并满足真停滞条件时才有界终止。若发现致命正确性问题，只做使基线可完成的最小修复，然后从 `t=0` 重新运行。 - [ ] 在正式锁定环境运行未优化基线 `10 s`，设置心跳、资源上限和可恢复日志。 - [ ] 保存事件、模式、步长、拒步、Jacobian、闭合和内存随模拟时间的时间线。 - [ ] 为长跑设置阶段性检查点，支持定位首次偏差而非只比较终点。 - [ ] 将每项 P1 优化分别加入 `10 s` A/B，不把多个改动混成一个结果。 - [ ] 根据首次基线制定合理的 CI 频率和资源门槛。 - [x] 最终通用接线后的当前工作树完成首次 `10 s / maxStep=0.02 s` 单次运行并保存完整统计；连续 3 次验收仍待后续。 +- [ ] 首次 `10 s / maxStep=0.001 s` 完整报告生成后，才根据各阶段墙钟与内部计数决定性能优化目标；旧 `0.02 s` 报告不得用于跳过该顺序。 **验收条件**： +- [ ] 权威 `10 s / 0.001 s` 首次基线到达 `t=10`，输出 `0..10 s` 共 1001 个采样时刻且全部有限；事件、模式、关键状态、压力/流量和守恒量满足契约。 - [ ] 连续 3 次完成 `10 s`，没有无解释回退、NaN/Inf 或资源失控。 - [ ] 全程模式、事件、关键状态和守恒量满足契约。 - [ ] 可从日志快速判断任何慢区属于积分、Jacobian、闭合、事件还是输出。 +- [ ] 同一 `maxStep=0.001 s` 下，`0.2/1/2/5/10 s` 的严格公共前缀按分类契约一致；短任务终点单独标记 terminal，不与长任务内部插值作位级误判。 +- [ ] 最终 `10 s` 至少完成 `maxStep=0.001/0.005/0.02 s` 三个代表档，并逐步补齐 `0.002/0.01 s`；较小步长不得出现较大步长没有的可复现数值失败或更早真停滞。 ### OPT-10 明确高指数 DAE 和强非光滑系统边界 @@ -678,6 +738,12 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复 | 本文复杂 XML `10 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 | | 主目标 `test-mql-8` `0.2 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 | | 主目标 `test-mql-8` `1/5/10 s` | 必测 | 必测 | 必测 | 必测 | 必测 | 必测 | +| 权威 JSON 浏览器/流式 API `0.2 s / maxStep=0.001 s` | 必测 | 必测 | 必测 | 必测 | 必测（含内部活动心跳） | 可选 | +| 权威 worker `0.2/1 s × maxStep={0.001,0.002,0.005,0.01,0.02} s` | 必测 | 必测（分类容差） | 必测 | 必测 | 必测（串行矩阵） | 可选 | +| 权威 JSON `10 s / maxStep=0.001 s` | 必测 | 必测 | 必测 | 必测 | 必测（完整时间线） | 必测 | + +2026-08-17 的 `maxStep=0.01/0.02/0.05/0.10 s` 延长结果继续作为恢复机制与历史路径证据，但不替代 +2026-08-18 权威 `maxStep=0.001 s` 的 browser/API/worker P0 门和 10 s 最终基线。 当前相关回归套件包括： @@ -728,6 +794,8 @@ PNL00R stream 语义、单次 RHS 事务回滚和基于实际试探步的恢复 | 2026-08-17 | 同一工作树 | OPT-01/02 因果坐标与参考 IR | `760` 个兼容槽压缩为 `440` 个逻辑坐标；独立 schema v1 参考 IR 覆盖 `112+328` 坐标和 320 个逻辑别名 | kernel on/off、兼容槽、状态导数、结构签名和逐阶段差分通过；审计/验证/回退失败均为 0 | Python 调用 `-36.8%`，RHS 微基准 `-12.9%`，production 0.2 s 单次 `-3.68%` | OPT-01 基本完成；IR 暂不接管默认热路径 | | 2026-08-17 | 同一工作树 | OPT-00/04/05/08/09 热流体恢复与延长矩阵 | 修正 PNL00R 温度 stream 参考；加入 RHS 事务、类型化闭合失败、基于 `h_abs` 的对半重试和完整诊断 | production 0.2 s golden 通过；2 s 四档 `maxStep` 均完成且 `caseFailureCount=0`，但跨步长严格门因近零机械 `a/v` 差异未过；5 s 的 0.02 s 档完成，0.05 s 档为预算取消而非 solver failure | 2 s worker 墙钟为 324.727/292.035/450.425/448.033 s；5 s 的 0.02 s 档为 696.418 s、0 retry、`18736/1347/4988`，0.05 s 档在 1200 s 预算停止于 4.2523535 s | 原 1.86 s 致命失败已恢复；暂以 0.02 s 作为延长测试首选但不修改正式默认值或批准 golden；10 s 的 0.02 s 档进行中 | | 2026-08-17 | 同一工作树；最终通用接线与 10 s repeat | OPT-04/05/08/09 `10 s` 最终收口 | eventless Generic opt-in stepwise recovery；StreamResolver 刷新全部温度参考 override；修复单格矩阵空比较器 | 0.01 s 接线前后逐值一致；两次 0.2 s final candidate 彼此逐值相同且均为旧 golden 398/402，同样 4 个终点派生 MECMAS21 `a` 超差、最大容差比 1.373，未覆盖 golden；最终 2 s 单格通过；真实 SciPy direct/stepwise A/B 等价；完整 unittest 828 项 OK（3 项跳过） | 最终接线后 10 s worker/orchestration 1602.733/1604.152 s，`45455/3075/15282`，接受步 9569、启动 6、事件 2；`t=6.9640458 s` 的 1 次热流体失败经 1 次重试恢复，最大迭代 23、残差 `1.082e-16`，1717 序列/1,722,151 标量全有限；最终 2 s worker 301.782 s | 最终通用接线后的 10 s 已完成；803.622 s 旧报告只作接线前历史证据、不作最终性能；旧 exit 1 仅为空比较器缺陷；旧 golden 保留，连续 3 次 10 s 仍待后续 | +| 2026-08-18 | 工作树基于 `684d287`；AME SHA `cbc3aadd...` | OPT-00 完成 | AME→XML/JSON 权威契约、22 包发布锁、双 golden、最终 replay 与历史 2.10 s 三次复测 | AME 25 项外部评估通过；状态 426/426、物理 33/33 本地重放零误差；quick 179、全量 849 项通过 | 0.2 s worker 159.607 s；2.10 s 三次 113.497–115.868 s | OPT-00 本地验收完成；1 s 预算内 eligible，长时递进转 OPT-09；远端 CI 待提交触发 | +| 2026-08-18 | 同一权威 AME/XML/JSON 工作树 | OPT-00/05/08/09 步长鲁棒性重新打开 | 浏览器在 `BDF / 0.2 s / sampleStep=0.01 s / maxStep=0.001 s` 下于 `t≈0.0489 s` 计算超时，当前工程路径判定失败；新增 browser/API/worker 对账、`0.2/1 s × 五档` 短时矩阵、内部活动心跳和权威 10 s 门 | 失败事实已确认，具体根因尚未区分为数值真停滞、内部慢步、后处理/传输或 60 s 服务假超时；离线 OPT-00 证据保留但不足以签收浏览器工程路径 | 暂不使用旧 `0.02 s` 长跑推断 `0.001 s`；先定位并提交方案审阅，短时门通过后再完整取得未经本次性能优化的 `10 s / 0.001 s` 基线 | OPT-00 工程端到端门重新打开；OPT-05 提升为 P0/P1，OPT-08 为 P0 服务门，OPT-09 只认 `0.001 s` 权威长基线 | ## 9. 相关文档 diff --git a/docs/update-log/更新日志-2026-08-18.md b/docs/update-log/更新日志-2026-08-18.md index c5d8b88..755c3af 100644 --- a/docs/update-log/更新日志-2026-08-18.md +++ b/docs/update-log/更新日志-2026-08-18.md @@ -10,3 +10,15 @@ - 相同 `maxStep=0.02` 的 `2 s` 与 `10 s` 运行在公共严格前缀检查点逐值一致，确认此前约 `1.86 s` 的失败来自不可恢复的试探态闭合处理，而不是远端 `tStop` 直接改变物理方程。 - 全量后端共运行 `828` 项测试，结果为 OK，其中 `3` 项按条件跳过；差异检查通过且测试后无遗留仿真进程。 - 当前仍有明确限制：跨最大步长严格比较尚未全部通过；最终 `0.2 s` 候选相对旧 golden 为 `398/402`，4 个超差项均是终点派生加速度，旧 golden 未被覆盖；最终 `10 s` 仅完成一次，仍需三次中位数、资源稳定性和新 golden 决策。 + +## 07:58 + +- 以 `AmesimModels/test_mql.ame` 为权威重新核对 `test-mql-8.xml/json`：20 类、157 个项目组件、178 条连接和 1092 个参数一致；唯一确定差异是仿真配置，已按 AME 与其结果网格修正为 `0→10 s`、`sampleStep=0.01 s`、`maxStep=0.001 s`。 +- 新增 AME 防漂移契约，直接验证归档 SHA/字节、`.sim/.results` 时间轴、单位与表压转换、公式等价、DIRECT/接触/建模线拓扑，以及 XML↔JSON 的逐 ID、参数和端口一致性。 +- 建立并批准 production `0.2 s` 的通用状态 golden 与 physical-state-v2.1 golden：前者覆盖 142 个状态键、3 个检查点和 426 个值；后者覆盖压力、质量流量、质量守恒、总储气质量和离散模式，并保留 AMESim 外部校准 provenance。 +- AMESim 外部评估 25 项通过；2 个 `t=0.04 s` 跳变流量因左右极限语义显式不参与外部比较。最差相对误差为 `0.1393485%`，未超过 0.2% 审阅容差；本地物理 golden 33/33 重放误差为 0。 +- 最终 production replay 的 worker/orchestration 墙钟为 `159.607/160.473 s`，状态与物理门禁均通过；按既定安全公式外推 1 s 为 `1197.053 s`，略低于 1200 s soft budget，记录为后续阶段可运行但本次 OPT-00 未启动。 +- 历史 production `0.81/2.10 s` 严格串行复测三次并批准两档 golden；三次检查点、状态、事件、输出契约及除计时外诊断逐值一致，无非有限值或非预期回退。 +- 新增 Linux x86_64 的 22 包 binary-only SHA-256 发布锁；全新空 venv 离线安装、`pip check` 和依赖契约通过，CI 的 quick/historical/main-long 三层任务统一使用该锁。 +- 最终 quick workflow 同口径 179 项通过（2 项预期跳过），完整后端 849 项通过（3 项预期跳过），`git diff --check` 与残留进程检查进入最终收尾。 +- OPT-00 已完成当时工作树的本地验收。仍存在的问题：批准报告来自 `684d287` 的脏工作树；后续求解器提交合入后尚未重新运行真实 production 基线和全量回归，远端 workflow 也待提交后首次托管验证。 diff --git a/requirements.txt b/requirements.txt index 39194d8..b62509e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,5 @@ -# Supported dependency ranges. Reproducible Python 3.12 installs should also -# apply constraints/python312-direct.txt; see README.md. +# Supported dependency ranges. Linux CPython 3.12 x86_64 release installs +# should use constraints/python312-linux-x86_64.lock directly; see README.md. fastapi lxml>=5,<7 numpy>=1.26,<3 diff --git a/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json b/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json new file mode 100644 index 0000000..088d067 --- /dev/null +++ b/tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json @@ -0,0 +1,952 @@ +{ + "schemaVersion": 1, + "id": "test_mql_8-production-0.2s-physical-state-v2.1", + "contractId": "physical-state-v2.1", + "caseId": "0.2s", + "lane": "production", + "sourceXmlSha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", + "approval": { + "status": "candidate", + "generatedAt": "2026-08-18T07:35:03.491746+00:00", + "warning": "The correctness gate rejects this file until explicit approval." + }, + "provenance": { + "localSourceReport": { + "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json", + "bytes": 380076, + "sha256": "c647fc7dab6c5cdaea188789dd8e0192d9caf374873afa1f5f5db0da9d69c49b", + "generatedAt": "2026-08-18T07:34:00.055573+00:00" + }, + "amesim": { + "archivePath": "AmesimModels/test_mql.ame", + "archiveBytes": 21708800, + "archiveSha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb", + "members": [ + { + "name": "test_mql_.var", + "bytes": 95371, + "sha256": "175010af62d254b34b1f876ff652feb903fe2ce88bee80d4dc0ef1d31f04067b" + }, + { + "name": "test_mql_.results", + "bytes": 8968576, + "sha256": "434a2cdff1322565957934354154425868fa03737558636927cb0f3ec51f1760" + } + ], + "referencePressurePa": 101300.0, + "role": "external calibration reference; not an equality claim" + }, + "amesimStoredMassDataPaths": [ + "mgas1@pn_c1_8", + "mgas1@pn_c1_9", + "mgas1@pn_c1_10", + 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for the restored eight-branch inputs aligned to the test_mql AMESim archive, with a short smoke gate before staged extension.", "source": { "path": "tests/data/test-mql-8.xml", - "sha256": "6eb2753a15af66fd8e91c169c4587e66b0ace2164c08c2cb23a67aab5fd09164", - "bytes": 104109, + "sha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", + "bytes": 104110, "xmlIsAuthoritative": true, + "referenceArchive": { + "path": "AmesimModels/test_mql.ame", + "sha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb", + "bytes": 21708800, + "role": "authoritativePhysicalBaseline", + "resultStartTime": 0.0, + "resultStopTime": 10.0, + "resultSampleStep": 0.01, + "resultPointCount": 1002 + }, "companionProject": { "path": "tests/data/test-mql-8.json", - "sha256": "8d7a263691a9f09f39c92aba19ae1350911dc66b4904e98bae5f20592c5a3fcd", - "bytes": 272591, + "sha256": "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18", + "bytes": 272592, "executionInput": false }, "simulation": { "tStart": 0.0, - "tStop": 5.0, - "sampleStep": 0.005, - "maxStep": 0.005, + "tStop": 10.0, + "sampleStep": 0.01, + "maxStep": 0.001, "method": "BDF" } }, + "acceptanceEvidence": { + "production0.2ApprovedReplay": { + "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-approved-replay-0.2.json", + "sha256": "2e27cd54026a2612df88d1903431f3968e03599b2ca6eb83d9b98638cc051502", + "bytes": 398198, + "workerWallSeconds": 159.60707960650325, + "orchestrationWallSeconds": 160.47319143638015, + "acceptancePassed": true, + "regressionGoldenPassed": true, + "physicalStateV21GoldenPassed": true + }, + "extensionDecision": { + "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-opt00-extension-decision.json", + "sha256": "7d34aea736863788d9efa72c46910afffd543ddc46eacdf1c6aa9caeab202022", + "bytes": 1313, + "oneSecondOutcome": "eligible", + "extensionWasNotStarted": true + } + }, "historicalReports": [ { "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-solver-only-v1.json", @@ -44,7 +73,7 @@ "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3", "status": "historicalOnly", "compatibleWithCurrentSource": false, - "reason": "This accepted 0.2 s report predates the four restored PNL0001 branches and cannot validate the v3 source." + "reason": "This accepted 0.2 s report predates the four restored PNL0001 branches and the AMESim-aligned 10 s simulation settings; it remains historical evidence only." }, { "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-production-v2-extension-decision.json", @@ -52,7 +81,17 @@ "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3", "status": "historicalOnly", "compatibleWithCurrentSource": false, - "reason": "This runtime extension decision was derived from the v2 source and is retained only as historical evidence." + "reason": "This runtime extension decision was derived from the superseded v2 source and must not control the AMESim-aligned v3 source." + } + ], + "historicalGoldens": [ + { + "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v1.json", + "sha256": "99fa7b3631a89f59f86551847175f3701a1567d8d0bd10d87545734f17515d72", + "sourceXmlSha256": "170463d65d074da01f0f9e9dab730b3815c94c1cc80b5190ec2e3fe623da74d3", + "status": "historicalOnly", + "compatibleWithCurrentSource": false, + "reason": "This Python-state golden predates the four restored PNL0001 branches and the AMESim-aligned simulation settings; it must not approve the current v3 source." } ], "structure": { @@ -90,7 +129,7 @@ "productionEquivalentOutput": false }, "production": { - "description": "Acceptance lane: changes only tStop and preserves the source 0.005 s output and internal-step grid.", + "description": "Acceptance lane: changes only tStop and preserves the AMESim-aligned source 0.01 s output grid and 0.001 s internal-step cap.", "samplingMode": "source", "maxStepMode": "source", "instrumentationMode": "standard", @@ -121,7 +160,23 @@ "expectedSignalEventTimes": [ 0.04 ], - "expectedMechanicalTransitionTimes": [] + "expectedMechanicalTransitionTimes": [], + "goldens": { + "production": { + "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json", + "sha256": "7ca8e859d7d2889d6608726eba0faf3441f0f2ad579799c2abdfe571fd49fd0e", + "role": "pythonDeterminismRegression", + "affectsPhysicalCorrectness": false + } + }, + "physicalStateV21Goldens": { + "production": { + "path": "tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json", + "sha256": "6f0752afe8c1f7690599c2709a76d9a1342f99f726c6c8593321dc6267e175b2", + "role": "amesimPhysicalBaseline", + "compareOnEveryRun": true + } + } }, "1s": { "stopTime": 1.0, @@ -175,12 +230,16 @@ } }, "correctness": { - "status": "partial", + "status": "complete", "maximumScaledResidual": 1e-7, "requireFiniteSeries": true, "requireStrictlyIncreasingTimes": true, "physicalProjectionCategories": [ - "state" + "state", + "pressure", + "massFlow", + "conservation", + "discreteMode" ], "stateRelativeTolerance": 0.0002, "stateAbsoluteTolerance": 1e-9, @@ -188,7 +247,10 @@ "eventTimeAbsoluteToleranceSeconds": 0.00002, "signalEventTimeAbsoluteToleranceSeconds": 1e-12, "mechanicalTransitionTimesAvailable": true, - "note": "The restored v3 source currently enforces structure, finite series, residuals, checkpoints, and events. Its v2 state golden is historical-only; a new reviewed v3 state golden remains pending." + "physicalBaselineAuthority": "amesim", + "compareAmesimOnEveryRun": true, + "pythonGoldenRole": "determinismDiagnosticOnly", + "note": "AMESim simulation results are the sole physical baseline and every production run reports current-to-AMESim relative errors. The exact Python-state golden detects determinism and implementation drift only; it cannot approve physical correctness. Longer progressive horizons remain independently staged work." }, "execution": { "causalExecutorV2Default": true, diff --git a/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json new file mode 100644 index 0000000..fb18c0f --- /dev/null +++ b/tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json @@ -0,0 +1,6393 @@ +{ + "schemaVersion": 2, + "generatedAt": "2026-08-18T07:06:04.248045+00:00", + "manifestId": "test_mql_8-progressive-v2", + "manifestPath": "/home/lujz/projects/SystemSimulationApp/tests/baselines/simulation/test_mql_8/manifest.json", + "lane": "production", + "laneDescription": "Acceptance lane: changes only tStop and preserves the AMESim-aligned source 0.01 s output grid and 0.001 s internal-step cap.", + "source": { + "path": "tests/data/test-mql-8.xml", + "sha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", + "bytes": 104110, + "xmlIsAuthoritative": true, + "referenceArchive": { + "path": "AmesimModels/test_mql.ame", + "sha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb", + "bytes": 21708800, + "resultStartTime": 0.0, + "resultStopTime": 10.0, + "resultSampleStep": 0.01, + "resultPointCount": 1002 + }, + "companionProject": { + "path": "tests/data/test-mql-8.json", + "sha256": "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18", + "bytes": 272592, + "executionInput": false + }, + "simulation": { + "tStart": 0.0, + "tStop": 10.0, + "sampleStep": 0.01, + "maxStep": 0.001, + "method": "BDF" + }, + "resolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.xml", + "companionResolvedPath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.json" + }, + "manifest": { + "schemaVersion": 1, + "id": "test_mql_8-progressive-v2", + "description": "Primary generic-solver regression target aligned to the test_mql AMESim archive, with a short smoke gate before staged extension.", + "source": { + "path": "tests/data/test-mql-8.xml", + "sha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", + "bytes": 104110, + "xmlIsAuthoritative": true, + "referenceArchive": { + "path": "AmesimModels/test_mql.ame", + "sha256": "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb", + "bytes": 21708800, + "resultStartTime": 0.0, + "resultStopTime": 10.0, + "resultSampleStep": 0.01, + "resultPointCount": 1002 + }, + "companionProject": { + "path": "tests/data/test-mql-8.json", + "sha256": "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18", + "bytes": 272592, + "executionInput": false + }, + "simulation": { + "tStart": 0.0, + "tStop": 10.0, + "sampleStep": 0.01, + "maxStep": 0.001, + "method": "BDF" + } + }, + "historicalReports": [ + { + "path": "tests/baselines/simulation/test_mql_8/runs/2026-08-17-solver-only-v1.json", + "sha256": "ed0e8514c5fc083af6d403270eb0617fc20672ebb96460c355757d28d7059d0f", + "sourceXmlSha256": "42e2d6277d39bd5990cb322243bec8d71c40ff0696b440db3c8623f2ab15c2ee", + "status": "historicalOnly", + "compatibleWithCurrentSource": false, + "reason": "This report used the former spaced filename and 0.002 s sampleStep/maxStep. 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"pythonImplementation": "CPython", + "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python", + "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39", + "machine": "x86_64", + "processor": "x86_64", + "cpuCount": 16, + "repository": { + "root": "/home/lujz/projects/SystemSimulationApp", + "head": "684d28752ac2fd011458befcb216b47aae692e3e", + "branch": "model-development", + "dirty": true, + "status": [ + "M .github/workflows/solver-regression.yml", + " M README.md", + " M app/simulation/benchmark_regression.py", + " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"", + " M requirements.txt", + " M tests/baselines/simulation/test_mql_8/manifest.json", + " M tests/baselines/simulation/test_mql_full_branches/manifest.json", + " M tests/data/test-mql-8.json", + " M tests/data/test-mql-8.xml", + " M tests/test_benchmark_regression.py", + " M tests/test_dependency_constraints.py", + " M tests/test_mql_full_branches_regression.py", + " M tests/test_supported_piston_tangent.py", + " M tests/test_test_mql_8_regression.py", + "?? app/simulation/physical_state_v21.py", + "?? constraints/python312-linux-x86_64.lock", + "?? tests/baselines/simulation/test_mql_8/goldens/candidates/production-0.2s-physical-state-v2.1-candidate.json", + "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-physical-state-v2.1.json", + "?? tests/baselines/simulation/test_mql_8/goldens/production-0.2s-v2.json", + "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json", + "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-physical-state-v2.1-0.2.json", + "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json", + "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json", 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"softCancelSent": false, + "hardTimeoutReached": false, + "orchestrationWallSeconds": 12.680667942389846, + "returnCode": 0, + "lastSimulatedTime": 0.01, + "progressEventCount": 72, + "lastProgressEvent": { + "event": "progress", + "progress": 100, + "phase": "complete", + "message": "正在汇总仿真结果", + "simulatedTime": 0.01, + "totalTime": 0.01, + "wallSeconds": 12.233424415811896 + }, + "stderrTail": [], + "worker": { + "event": "result", + "outcome": "completed", + "sourceSha256": "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", + "sourcePath": "/home/lujz/projects/SystemSimulationApp/tests/data/test-mql-8.xml", + "derivedConfiguration": { + "stopTime": 0.01, + "sampleStep": 0.01, + "maxStep": 0.001, + "lane": "production", + "sourceXmlUnmodified": true + }, + "wallSeconds": 12.261063113808632, + "cpuSeconds": 15.5065492, + "peakRssBytes": 140955648, + "peakRssRaw": 137652, + "peakRssRawUnit": "KiB", + "lastSimulatedTime": 0.01, + "runtime": { + "python": "3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0]", + "pythonImplementation": "CPython", + "executable": "/home/lujz/projects/SystemSimulationApp/.venv/bin/python", + "platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.39", + "machine": "x86_64", + "processor": "x86_64", + "cpuCount": 16, + "repository": { + "root": "/home/lujz/projects/SystemSimulationApp", + "head": "684d28752ac2fd011458befcb216b47aae692e3e", + "branch": "model-development", + "dirty": true, + "status": [ + "M .github/workflows/solver-regression.yml", + " M README.md", + " M app/simulation/benchmark_regression.py", + " M \"docs/other/\\346\\261\\202\\350\\247\\243\\345\\231\\250\\346\\200\\247\\350\\203\\275\\344\\274\\230\\345\\214\\226\\344\\273\\273\\345\\212\\241\\346\\270\\205\\345\\215\\225.md\"", + " M requirements.txt", + " M tests/baselines/simulation/test_mql_8/manifest.json", + " M tests/baselines/simulation/test_mql_full_branches/manifest.json", + " M tests/data/test-mql-8.json", + " M tests/data/test-mql-8.xml", + " M tests/test_benchmark_regression.py", + " M tests/test_dependency_constraints.py", + " M tests/test_mql_full_branches_regression.py", + " M tests/test_supported_piston_tangent.py", + "?? app/simulation/physical_state_v21.py", + "?? constraints/python312-linux-x86_64.lock", + "?? tests/baselines/simulation/test_mql_8/runs/2026-08-18-production-amesim-aligned-v1-candidate-0.2.json", + "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json", + "?? tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json", + "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-1.json", + "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-2.json", + "?? tests/baselines/simulation/test_mql_full_branches/runs/2026-08-18-opt00-historical-repeat-3.json", + "?? tests/test_physical_state_v21.py", + "?? tests/test_test_mql_ame_contract.py" + ] + }, + "packages": { + "numpy": "2.5.2", + "scipy": "1.18.0", + "lxml": "6.1.1" + }, + "environment": { + "SIMULATIONAPP_PROFILE": "standard", + "SIMULATION_ODE_JACOBIAN_MODE": "scipy", + "SIMULATIONAPP_PROPERTY_CACHE": "on", + "SIMULATION_CAUSAL_EXECUTOR_V2": "1", + "SIMULATION_CAUSAL_COORDINATE_KERNEL": "1", + "SIMULATION_CAUSAL_FAST_PATH": "1" + } + }, + "summary": { + "success": true, + "status": "completed", + "partial": false, + "message": "The solver successfully reached the end of the integration interval.", + "simulatedUntil": 0.01, + "requestedStopTime": 0.01, + "variableCount": 1784, + "seriesHealth": { + "seriesCount": 1785, + "scalarCount": 3570, + "nonfiniteCount": 0, + "timeStrictlyIncreasing": true, + "timeStart": 0.0, + "timeEnd": 0.01 + }, + "final": { + "amesim_pnch023_1.m": 1.374510850335198, + "amesim_pnch023_1.U": -886868.3937230138, + "amesim_pnch023_1.p": 15299999.999999806, + "amesim_pnch023_1.T": 293.14999999999634, + "amesim_pnch023_1.rho": 24.114225444477157, + 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"source": { "path": "tests/data/test_mql-full-branches-01-04.xml", "sha256": "2fb95e65f5de0c85a6a17802aef74ea004087323fd00fd8d01acf0184ff71d48", @@ -60,7 +60,7 @@ 0.0, 0.04, 0.69, - 0.70, + 0.7, 0.8, 0.81 ], @@ -68,7 +68,13 @@ 0.04, 0.8 ], - "expectedMechanicalTransitionTimes": [] + "expectedMechanicalTransitionTimes": [], + "goldens": { + "production": { + "path": "tests/baselines/simulation/test_mql_full_branches/goldens/production-0.81s-v1.json", + "sha256": "72c4ccf995c7904f80598934bf59fe88cff2f9b85e003396befc4ae3f37a4e53" + } + } }, "2.10s": { "stopTime": 2.1, @@ -78,7 +84,7 @@ 0.0, 0.04, 0.69, - 0.70, + 0.7, 0.8, 1.0, 2.0, @@ -88,19 +94,35 @@ "expectedSignalEventTimes": [ 0.04, 0.8 - ] + ], + "expectedMechanicalTransitionTimes": [ + 1.1199696877773673, + 1.1331667954945566, + 1.2023983086085228 + ], + "goldens": { + "production": { + "path": "tests/baselines/simulation/test_mql_full_branches/goldens/production-2.10s-v1.json", + "sha256": "5fced8349404c9dd1f6284b76af3f1e24ed0933df76fb4b5d2a419b719f64d4c" + } + } } }, "correctness": { - "status": "partial", - "maximumScaledResidual": 1e-7, + "status": "complete", + "maximumScaledResidual": 1e-07, "requireFiniteSeries": true, "requireStrictlyIncreasingTimes": true, "stateRelativeTolerance": 0.0002, - "eventTimeAbsoluteToleranceSeconds": 0.00002, + "eventTimeAbsoluteToleranceSeconds": 2e-05, "signalEventTimeAbsoluteToleranceSeconds": 1e-12, "mechanicalTransitionTimesAvailable": true, - "note": "Historical checkpoints are recorded; approved physical-state-v2 golden values remain pending." + "note": "OPT-00 production 0.81/2.10 s state, event, output-shape, finite-series, residual, audit, and no-fallback contracts are approved and replayed exactly across three locked-environment runs.", + "physicalProjectionCategories": [ + "state" + ], + "stateAbsoluteTolerance": 1e-09, + "checkpointTimeAbsoluteToleranceSeconds": 1e-12 }, "execution": { "causalExecutorV2Default": true, @@ 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"mass_friction_endstops_13.a": -1.5545636415481566e-07, + "mass_friction_endstops_13.v": 6.633051807899984e-08, + "mass_friction_endstops_13.x": 0.37000236535548653 + } + } + ], + "diagnostics": { + "integration": { + "method": "BDF", + "jacobianSparsity": { + "nonzeroCount": 1284, + "density": 0.23447772096420746, + "colorGroupCount": 31 + }, + "jacobian": { + "mode": "scipySparseFiniteDifference", + "fallbackReason": null, + "jacobianEvaluationCount": 468, + "fullBuildCount": 468, + "finiteDifferenceRhsEstimateIsExact": false + }, + "segmentCount": 3, + "segments": [ + { + "startTime": 0.0, + "requestedStopTime": 0.04, + "simulatedUntil": 0.04, + "nfev": 1856, + "njev": 86, + "nlu": 295, + "acceptedStepCount": 603, + "solverStartCount": 1, + "stateTransitionCount": 0, + "recoverableRetryCount": 0, + "finiteDifferenceRhsEstimate": 2666 + }, + { + "startTime": 0.04, + "requestedStopTime": 0.8, + "simulatedUntil": 0.8, + "nfev": 1832, + "njev": 155, + "nlu": 453, + "acceptedStepCount": 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"denseFallbackCount": 0, + "closurePassCount": 55881, + "secondaryPhysicalIslandCount": 1, + "secondaryBlockCount": 9, + "secondaryUnknownCount": 192, + "equationBlockFallbackReasons": [], + "usesConservativeGlobalCoupling": false, + "couplingPlanFallbackReason": null, + "maxScaledResidual": 1.0700979760449996e-16, + "maxEvaluationsPerSolve": 0, + "maxResidualEvaluationsPerSolve": 0, + "lastScope": [ + "pn_general_chamber", + "pn_orifice_19", + "pneumatic_97", + "pn_node3_9", + "pneumatic_100", + "pneumatic_88", + "pn_general_chamber_2", + "pn_orifice_20", + "pneumatic_98", + "pn_node3_10", + "pneumatic_75", + "pn_orifice_18", + "pneumatic_96", + "pn_node3_8", + "pneumatic_105", + "branch_boundary_pnl00r_chamber", + "pneumatic_87", + "pn_morifice_1", + "pnnode4_16", + "pneumatic_83", + "pneumatic_95", + "pneumatic_69", + "pn_c1_8", + "pn_morifice_9", + "pnnode4_17", + "pneumatic_86", + "pneumatic_68", + "pn_c1_9", + "branch_boundary_pnl0002_b_chamber", + "pn_morifice_10", + "pnnode4_18", + "pneumatic_80", + "pneumatic_66", + "pn_c1_10", + "pn_orifice_21", + "pneumatic_99", + "pn_node3_11", + "pneumatic_107", + "branch_boundary_pnl00r_branch05_chamber", + "pneumatic_76", + "pn_morifice_15", + "pnnode4_19", + "pneumatic_85", + "pneumatic_65", + "pn_c1_11", + "branch_boundary_pnl0002_branch05_chamber" + ], + "last": { + "success": true, + "message": "Compiled causal stream-pressure block completed; residuals reuse the latest full audit.", + "evaluations": 0, + "pressureScale": 7839705.175624134, + "flowScale": 0.008979311485379313, + "maxScaledResidual": 0.0, + "maxRawResidual": 0.0, + "residualEvaluations": 0, + "jacobianMode": "seeded", + "denseFallbackUsed": false, + "nonlinearBlockCount": 0, + "nonlinearBlockUnknownCount": 0, + "blockFallbackUsed": false, + "blockFallbackReason": null, + "residualVerifiedThisSolve": false, + "causalFastPathUsed": true + }, + "causalExecution": { + "eligible": true, + "enabled": true, + "fallbackReason": null, + 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"diagnosticOwnerCount": 4 + } + }, + "last": { + "converged": true, + "iterations": 2, + "maxDelta": 0.0 + } + }, + "signal": { + "propagations": 131100, + "eventTimes": [ + 0.04, + 0.8 + ], + "last": { + "propagated": 6 + } + }, + "pneumaticVolume": { + "propagations": 87400, + "last": { + "propagated": 4, + "outputPorts": [ + "pn_brp2_10.port_1", + "pn_brp2_11.port_1", + "pn_brp2_8.port_1", + "pn_brp2_9.port_1" + ] + } + }, + "stateCount": 74, + "sampleCount": 214, + "performance": { + "mode": "standard", + "phases": { + "simulation.integration": { + "calls": 1, + "inclusiveNs": 112174421892, + "selfNs": 112174421892, + "maxNs": 112174421892, + "errors": 0 + }, + "simulation.network_compilation": { + "calls": 1, + "inclusiveNs": 16240928, + "selfNs": 16240928, + "maxNs": 16240928, + "errors": 0 + }, + "simulation.postprocessing": { + "calls": 1, + "inclusiveNs": 2722167710, + "selfNs": 2722167710, + "maxNs": 2722167710, + "errors": 0 + }, + "simulation.response_assembly": { + "calls": 1, + "inclusiveNs": 22038215, + "selfNs": 22038215, + "maxNs": 22038215, + "errors": 0 + }, + "simulation.result_assembly": { + "calls": 1, + "inclusiveNs": 7044328, + "selfNs": 7044328, + "maxNs": 7044328, + "errors": 0 + }, + "simulation.sample_initialization": { + "calls": 1, + "inclusiveNs": 253297627, + "selfNs": 253297627, + "maxNs": 253297627, + "errors": 0 + }, + "simulation.system_construction": { + "calls": 1, + "inclusiveNs": 135413598, + "selfNs": 135413598, + "maxNs": 135413598, + "errors": 0 + }, + "simulation.total": { + "calls": 1, + "inclusiveNs": 115341289545, + "selfNs": 1779358, + "maxNs": 115341289545, + "errors": 0 + }, + "simulation.xml_validation": { + "calls": 1, + "inclusiveNs": 8885889, + "selfNs": 8885889, + "maxNs": 8885889, + "errors": 0 + } + }, + "properties": {}, + "propertyOutermostNs": 0 + } + }, + "eventTrace": { + "signalEventTimes": [ + 0.04, + 0.8 + ], + "stateTransitionCount": 3, + "mechanicalTransitionTimes": [ + 1.1199696877773673, + 1.1331667954945566, + 1.2023983086085228 + ], + "solverStartCount": 6, + "segments": [ + { + "startTime": 0.0, + "requestedStopTime": 0.04, + "simulatedUntil": 0.04, + "solverStartCount": 1, + "stateTransitionCount": 0, + "stateTransitionTimes": null, + "recoverableRetryCount": 0 + }, + { + "startTime": 0.04, + "requestedStopTime": 0.8, + "simulatedUntil": 0.8, + "solverStartCount": 1, + "stateTransitionCount": 0, + "stateTransitionTimes": null, + "recoverableRetryCount": 0 + }, + { + "startTime": 0.8, + "requestedStopTime": 2.1, + "simulatedUntil": 2.1, + "solverStartCount": 4, + "stateTransitionCount": 3, + "stateTransitionTimes": [ + 1.1199696877773673, + 1.1331667954945566, + 1.2023983086085228 + ], + "recoverableRetryCount": 0 + } + ], + "mechanicalTransitionTimesAvailable": true + } + } + }, + "acceptance": { + "evaluated": true, + "passed": true, + "issues": [], + "regressionGolden": { + "configured": false, + "evaluated": false, + "passed": null, + "issues": [] + } + } + } + ] +} diff --git a/tests/data/test-mql-8.json b/tests/data/test-mql-8.json index 9570e6c..9a419ba 100644 --- a/tests/data/test-mql-8.json +++ b/tests/data/test-mql-8.json @@ -10196,9 +10196,9 @@ ], "simulation": { "t_start": 0, - "t_stop": 5, - "step": 0.005, - "max_step": 0.005, + "t_stop": 10, + "step": 0.01, + "max_step": 0.001, "method": "BDF" } -} \ No newline at end of file +} diff --git a/tests/data/test-mql-8.xml b/tests/data/test-mql-8.xml index 0a761be..85fcd80 100644 --- a/tests/data/test-mql-8.xml +++ b/tests/data/test-mql-8.xml @@ -1,6 +1,6 @@ - + @@ -2075,4 +2075,4 @@ - \ No newline at end of file + diff --git a/tests/test_benchmark_regression.py b/tests/test_benchmark_regression.py index 600e1fc..a46cf97 100644 --- a/tests/test_benchmark_regression.py +++ b/tests/test_benchmark_regression.py @@ -26,6 +26,13 @@ from app.simulation.benchmark_regression import ( ) +PHYSICAL_STATE_V21_REPORT = ( + DEFAULT_MANIFEST_PATH.parent + / "runs" + / "2026-08-18-production-physical-state-v2.1-0.2.json" +) + + def _completed_result(request: RegressionCaseRequest, *, wall_seconds: float = 0.01): signal_times = ( [0.04, 0.8] @@ -125,16 +132,24 @@ class RegressionManifestTests(unittest.TestCase): self.assertTrue(manifest["source"]["xmlIsAuthoritative"]) self.assertEqual( manifest["source"]["sha256"], - "6eb2753a15af66fd8e91c169c4587e66b0ace2164c08c2cb23a67aab5fd09164", + "0a2d9331df9eb5974daec25a61c1238ba32b1742d933ffc8b16ce316c5627b0b", ) self.assertEqual(Path(manifest["_sourcePath"]).name, "test-mql-8.xml") self.assertEqual( manifest["source"]["companionProject"]["sha256"], - "8d7a263691a9f09f39c92aba19ae1350911dc66b4904e98bae5f20592c5a3fcd", + "b44bf540ccd1c293fe2af2b9b9052b540abf83961ad955a0f6a4ab40fbe0bb18", ) self.assertFalse( manifest["source"]["companionProject"]["executionInput"] ) + self.assertEqual( + manifest["source"]["referenceArchive"]["role"], + "authoritativePhysicalBaseline", + ) + self.assertEqual( + Path(manifest["_referenceArchivePath"]).name, + "test_mql.ame", + ) self.assertEqual(manifest["historicalReports"][0]["status"], "historicalOnly") self.assertFalse( manifest["historicalReports"][0]["compatibleWithCurrentSource"] @@ -146,6 +161,86 @@ class RegressionManifestTests(unittest.TestCase): self.assertFalse( manifest["historicalReports"][2]["compatibleWithCurrentSource"] ) + physical_state_golden = manifest["_physicalStateV21Goldens"]["0.2s"][ + "production" + ] + self.assertEqual(physical_state_golden["approval"]["status"], "approved") + self.assertEqual( + physical_state_golden["_sha256"], + "6f0752afe8c1f7690599c2709a76d9a1342f99f726c6c8593321dc6267e175b2", + ) + self.assertTrue( + physical_state_golden["amesimAlignmentAtGeneration"]["passed"] + ) + self.assertEqual( + manifest["correctness"]["physicalBaselineAuthority"], "amesim" + ) + self.assertTrue(manifest["correctness"]["compareAmesimOnEveryRun"]) + self.assertEqual( + manifest["correctness"]["pythonGoldenRole"], + "determinismDiagnosticOnly", + ) + self.assertEqual( + manifest["variants"]["0.2s"]["goldens"]["production"]["role"], + "pythonDeterminismRegression", + ) + self.assertEqual( + manifest["variants"]["0.2s"]["physicalStateV21Goldens"][ + "production" + ]["role"], + "amesimPhysicalBaseline", + ) + + def test_manifest_rejects_physical_state_v21_golden_hash_mismatch(self) -> None: + manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8")) + manifest["variants"]["0.2s"]["physicalStateV21Goldens"]["production"][ + "sha256" + ] = "0" * 64 + with tempfile.TemporaryDirectory( + dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".v21-manifest-test-" + ) as temporary_directory: + manifest_path = Path(temporary_directory) / "manifest.json" + manifest_path.write_text(json.dumps(manifest), encoding="utf-8") + with self.assertRaisesRegex( + RegressionManifestError, + "physical-state-v2.1 golden hash mismatch", + ): + load_regression_manifest(manifest_path) + + def test_manifest_rejects_amesim_archive_hash_mismatch(self) -> None: + manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8")) + manifest["source"]["referenceArchive"]["sha256"] = "0" * 64 + with tempfile.TemporaryDirectory( + dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".amesim-manifest-test-" + ) as temporary_directory: + manifest_path = Path(temporary_directory) / "manifest.json" + manifest_path.write_text(json.dumps(manifest), encoding="utf-8") + with self.assertRaisesRegex( + RegressionManifestError, + "AMESim reference archive hash mismatch", + ): + load_regression_manifest(manifest_path) + + def test_manifest_rejects_amesim_golden_provenance_mismatch(self) -> None: + loaded = load_regression_manifest(DEFAULT_MANIFEST_PATH) + golden = json.loads( + json.dumps(loaded["_physicalStateV21Goldens"]["0.2s"]["production"]) + ) + golden["provenance"]["amesim"]["archiveSha256"] = "0" * 64 + manifest = json.loads(DEFAULT_MANIFEST_PATH.read_text(encoding="utf-8")) + with tempfile.TemporaryDirectory( + dir=DEFAULT_MANIFEST_PATH.parents[4], prefix=".amesim-provenance-test-" + ) as temporary_directory: + manifest_path = Path(temporary_directory) / "manifest.json" + manifest_path.write_text(json.dumps(manifest), encoding="utf-8") + with patch( + "app.simulation.benchmark_regression.load_physical_state_v21_golden", + return_value=golden, + ), self.assertRaisesRegex( + RegressionManifestError, + "AMESim baseline provenance", + ): + load_regression_manifest(manifest_path) def test_in_memory_derivative_does_not_change_authoritative_xml(self) -> None: manifest = load_regression_manifest(DEFAULT_MANIFEST_PATH) @@ -159,9 +254,9 @@ class RegressionManifestTests(unittest.TestCase): max_step=0.005, ) - self.assertEqual(source_simulation_config(before)["tStop"], 5.0) - self.assertEqual(source_simulation_config(before)["sampleStep"], 0.005) - self.assertEqual(source_simulation_config(before)["maxStep"], 0.005) + self.assertEqual(source_simulation_config(before)["tStop"], 10.0) + self.assertEqual(source_simulation_config(before)["sampleStep"], 0.01) + self.assertEqual(source_simulation_config(before)["maxStep"], 0.001) self.assertEqual(source_simulation_config(derived)["tStop"], 1.0) self.assertEqual(source_simulation_config(derived)["sampleStep"], 0.02) self.assertEqual(source_simulation_config(derived)["maxStep"], 0.005) @@ -399,6 +494,145 @@ class BoundedChildProcessTests(unittest.TestCase): class ProgressiveSuiteTests(unittest.TestCase): + @staticmethod + def _physical_state_v21_result_executor(): + source_report = json.loads( + PHYSICAL_STATE_V21_REPORT.read_text(encoding="utf-8") + ) + results = {case["caseId"]: case for case in source_report["cases"]} + + def execute(request: RegressionCaseRequest) -> dict[str, object]: + return json.loads(json.dumps(results[request.case_id])) + + return execute + + def test_production_report_replays_through_active_v21_acceptance(self) -> None: + report = run_regression_suite( + DEFAULT_MANIFEST_PATH, + lane="production", + case_ids=["0.2s"], + case_executor=self._physical_state_v21_result_executor(), + ) + + case = report["cases"][1] + evaluation = case["acceptance"]["physicalStateV21Golden"] + self.assertEqual(case["outcome"], "completed") + self.assertTrue(case["acceptance"]["passed"]) + self.assertTrue(evaluation["configured"]) + self.assertTrue(evaluation["evaluated"]) + self.assertTrue(evaluation["passed"]) + self.assertEqual(evaluation["baselineAuthority"], "amesim") + self.assertEqual(evaluation["metricCount"], 33) + self.assertEqual(evaluation["availableBaselineValueCount"], 27) + self.assertEqual(evaluation["unavailableBaselineValueCount"], 6) + self.assertEqual(evaluation["comparedValueCount"], 25) + self.assertEqual(evaluation["excludedValueCount"], 2) + self.assertAlmostEqual( + evaluation["maxToleranceRatio"], 0.6967416724836332 + ) + self.assertAlmostEqual( + evaluation["worstValue"]["relativeError"], + 0.0013934852135053246, + ) + self.assertTrue( + all( + "actual" in metric and "amesimBaseline" in metric + for metric in evaluation["metrics"] + ) + ) + self.assertEqual(evaluation["issues"], []) + self.assertTrue(evaluation["amesimAlignmentAtGenerationPassed"]) + regression = case["acceptance"]["regressionGolden"] + self.assertEqual(regression["role"], "determinismDiagnosticOnly") + self.assertFalse(regression["affectsPhysicalCorrectness"]) + + def test_v21_conservation_drift_fails_runner_acceptance(self) -> None: + execute_source = self._physical_state_v21_result_executor() + + def drifted(request: RegressionCaseRequest) -> dict[str, object]: + result = execute_source(request) + if request.case_id == "0.2s": + result["worker"]["summary"]["physicalStateV21"]["checkpoints"][-1][ + "values" + ]["conservation.p4node2_8.massBalance"] = 2.0e-9 + return result + + report = run_regression_suite( + DEFAULT_MANIFEST_PATH, + lane="production", + case_ids=["0.2s"], + case_executor=drifted, + ) + + case = report["cases"][1] + evaluation = case["acceptance"]["physicalStateV21Golden"] + self.assertEqual(case["outcome"], "correctness_failed") + self.assertFalse(case["acceptance"]["passed"]) + self.assertIn( + "physicalStateV21LocalInvariantMismatch", + case["acceptance"]["issues"], + ) + self.assertFalse(evaluation["passed"]) + self.assertEqual( + evaluation["localInvariants"]["worstValue"]["key"], + "conservation.p4node2_8.massBalance", + ) + + def test_python_state_drift_is_diagnostic_when_amesim_gate_passes(self) -> None: + execute_source = self._physical_state_v21_result_executor() + + def drifted(request: RegressionCaseRequest) -> dict[str, object]: + result = execute_source(request) + if request.case_id == "0.2s": + values = result["worker"]["summary"]["physicalContract"][ + "checkpoints" + ][-1]["stateValues"] + first_key = next(iter(values)) + values[first_key] += 1.0 + return result + + report = run_regression_suite( + DEFAULT_MANIFEST_PATH, + lane="production", + case_ids=["0.2s"], + case_executor=drifted, + ) + + case = report["cases"][1] + diagnostic = case["acceptance"]["regressionGolden"] + self.assertEqual(case["outcome"], "completed") + self.assertTrue(case["acceptance"]["passed"]) + self.assertFalse(diagnostic["passed"]) + self.assertIn("stateCheckpointGoldenValueMismatch", diagnostic["issues"]) + self.assertEqual(diagnostic["acceptanceIssues"], []) + self.assertTrue(case["acceptance"]["physicalStateV21Golden"]["passed"]) + + def test_amesim_baseline_drift_is_the_physical_acceptance_gate(self) -> None: + execute_source = self._physical_state_v21_result_executor() + + def drifted(request: RegressionCaseRequest) -> dict[str, object]: + result = execute_source(request) + if request.case_id == "0.2s": + result["worker"]["summary"]["physicalStateV21"]["checkpoints"][-1][ + "values" + ]["pressure.pnch012_8.absolute"] += 1.0e6 + return result + + report = run_regression_suite( + DEFAULT_MANIFEST_PATH, + lane="production", + case_ids=["0.2s"], + case_executor=drifted, + ) + + case = report["cases"][1] + evaluation = case["acceptance"]["physicalStateV21Golden"] + self.assertEqual(case["outcome"], "correctness_failed") + self.assertFalse(case["acceptance"]["passed"]) + self.assertIn("amesimReferenceToleranceMismatch", case["acceptance"]["issues"]) + self.assertFalse(evaluation["passed"]) + self.assertEqual(evaluation["worstValue"]["amesimBaseline"], 3625053.2009413484) + def test_requesting_late_case_also_runs_every_predecessor(self) -> None: calls: list[str] = [] @@ -585,7 +819,7 @@ class ProgressiveSuiteTests(unittest.TestCase): self.assertEqual( seen, - [("solver-only", 0.02, 0.05), ("production", 0.005, 0.005)], + [("solver-only", 0.02, 0.05), ("production", 0.01, 0.001)], ) diff --git a/tests/test_dependency_constraints.py b/tests/test_dependency_constraints.py index 8844ef3..dadda67 100644 --- a/tests/test_dependency_constraints.py +++ b/tests/test_dependency_constraints.py @@ -2,6 +2,7 @@ from __future__ import annotations from importlib import metadata import os +import platform from pathlib import Path import re import sys @@ -13,6 +14,11 @@ REQUIREMENTS_PATH = REPOSITORY_ROOT / "requirements.txt" CONSTRAINTS_PATH = ( REPOSITORY_ROOT / "constraints" / "python312-direct.txt" ) +RELEASE_LOCK_PATH = ( + REPOSITORY_ROOT + / "constraints" + / "python312-linux-x86_64.lock" +) PYTHON_VERSION_PATH = REPOSITORY_ROOT / ".python-version" VERIFY_ENVIRONMENT_VARIABLE = "SYSTEM_SIMULATION_VERIFY_LOCKED_ENV" @@ -24,6 +30,37 @@ REFERENCE_DIRECT_VERSIONS = { "scipy": "1.18.0", "uvicorn": "0.52.3", } +REFERENCE_LOCKED_VERSIONS = { + "annotated-doc": "0.0.5", + "annotated-types": "0.8.0", + "anyio": "4.14.2", + "click": "8.4.2", + "fastapi": "0.141.1", + "h11": "0.16.0", + "httptools": "0.8.0", + "idna": "3.18", + "lxml": "6.1.1", + "numpy": "2.5.2", + "pydantic": "2.13.4", + "pydantic-core": "2.46.4", + "python-dotenv": "1.2.3", + "pyyaml": "6.0.3", + "scipy": "1.18.0", + "starlette": "1.6.0", + "typing-extensions": "4.16.0", + "typing-inspection": "0.4.4", + "uvicorn": "0.52.3", + "uvloop": "0.22.1", + "watchfiles": "1.2.0", + "websockets": "17.0.1", +} + +LOCK_REQUIREMENT_PATTERN = re.compile( + r"(?P[A-Za-z0-9_.-]+)" + r"(?:\[(?P[A-Za-z0-9_,.-]+)\])?" + r"==(?P[^\s;]+)\s+" + r"--hash=sha256:(?P[0-9a-f]{64})\Z" +) def _active_lines(path: Path) -> tuple[str, ...]: @@ -57,6 +94,33 @@ def _constraint_versions() -> dict[str, str]: return result +def _release_lock_options() -> tuple[str, ...]: + return tuple( + line + for line in _active_lines(RELEASE_LOCK_PATH) + if line.startswith("--") + ) + + +def _release_lock_entries() -> dict[str, tuple[str, str, str | None]]: + result: dict[str, tuple[str, str, str | None]] = {} + for line in _active_lines(RELEASE_LOCK_PATH): + if line.startswith("--"): + continue + match = LOCK_REQUIREMENT_PATTERN.fullmatch(line) + if match is None: + raise AssertionError(f"Invalid release-lock entry: {line!r}") + normalized = _normalized_name(match.group("name")) + if normalized in result: + raise AssertionError(f"Duplicate release-lock entry: {normalized}") + result[normalized] = ( + match.group("version"), + match.group("digest"), + match.group("extras"), + ) + return result + + class DependencyConstraintContractTests(unittest.TestCase): def test_python_reference_version_is_explicit(self) -> None: self.assertEqual( @@ -87,18 +151,49 @@ class DependencyConstraintContractTests(unittest.TestCase): }.isdisjoint(_constraint_versions()) ) + def test_linux_release_lock_pins_and_hashes_complete_environment( + self, + ) -> None: + self.assertEqual( + _release_lock_options(), + ("--only-binary=:all:", "--require-hashes"), + ) + entries = _release_lock_entries() + self.assertEqual( + {name: entry[0] for name, entry in entries.items()}, + REFERENCE_LOCKED_VERSIONS, + ) + self.assertTrue(all(len(entry[1]) == 64 for entry in entries.values())) + self.assertEqual(entries["uvicorn"][2], "standard") + self.assertTrue( + all( + entry[2] is None + for name, entry in entries.items() + if name != "uvicorn" + ) + ) + self.assertEqual( + { + name: REFERENCE_LOCKED_VERSIONS[name] + for name in REFERENCE_DIRECT_VERSIONS + }, + REFERENCE_DIRECT_VERSIONS, + ) + @unittest.skipUnless( os.getenv(VERIFY_ENVIRONMENT_VARIABLE, "").strip().lower() in {"1", "true", "yes", "on"}, f"Set {VERIFY_ENVIRONMENT_VARIABLE}=1 to verify installed versions.", ) - def test_installed_environment_matches_reference_constraints(self) -> None: + def test_installed_environment_matches_linux_release_lock(self) -> None: self.assertEqual(sys.version_info[:3], (3, 12, 3)) + self.assertEqual(sys.platform, "linux") + self.assertEqual(platform.machine().lower(), "x86_64") installed = { name: metadata.version(name) - for name in REFERENCE_DIRECT_VERSIONS + for name in REFERENCE_LOCKED_VERSIONS } - self.assertEqual(installed, REFERENCE_DIRECT_VERSIONS) + self.assertEqual(installed, REFERENCE_LOCKED_VERSIONS) if __name__ == "__main__": diff --git a/tests/test_mql_full_branches_regression.py b/tests/test_mql_full_branches_regression.py index 4ad8abf..c647b69 100644 --- a/tests/test_mql_full_branches_regression.py +++ b/tests/test_mql_full_branches_regression.py @@ -1,12 +1,14 @@ from __future__ import annotations import hashlib +import json import os from pathlib import Path import unittest from app.main import compile_system_xml_network from app.simulation.benchmark_regression import ( + evaluate_regression_golden, load_regression_manifest, run_regression_suite, source_simulation_config, @@ -85,6 +87,60 @@ class MqlFullBranchesStaticRegressionTests(unittest.TestCase): expected["hasMechanicalStateEvents"], ) + def test_three_production_repeats_replay_approved_goldens_exactly(self) -> None: + repository_root = Path(self.manifest["_repositoryRoot"]) + evidence = self.manifest["acceptanceEvidence"] + self.assertEqual(evidence["status"], "approved") + self.assertEqual(evidence["lane"], "production") + self.assertEqual(evidence["repeatCount"], 3) + self.assertTrue(evidence["physicalValuesIdenticalAcrossRepeats"]) + + expected_counts = {"0.81s": 480, "2.10s": 720} + stable_signatures: dict[str, object] = {} + for report_reference in evidence["reports"]: + report_path = repository_root / report_reference["path"] + payload = report_path.read_bytes() + self.assertEqual(len(payload), report_reference["bytes"]) + self.assertEqual( + hashlib.sha256(payload).hexdigest(), + report_reference["sha256"], + ) + report = json.loads(payload) + self.assertEqual(report["lane"], "production") + self.assertEqual( + report["source"]["sha256"], self.manifest["source"]["sha256"] + ) + + for case_id in self.manifest["sequence"]: + case = next( + item for item in report["cases"] if item["caseId"] == case_id + ) + self.assertEqual(case["outcome"], "completed") + self.assertTrue(case["acceptance"]["passed"]) + summary = case["worker"]["summary"] + golden = self.manifest["_goldens"][case_id]["production"] + audit = evaluate_regression_golden(summary, golden) + self.assertTrue(audit["passed"], audit) + self.assertEqual( + audit["comparedValueCount"], expected_counts[case_id] + ) + self.assertEqual(audit["maxAbsoluteError"], 0.0) + self.assertEqual(audit["maxToleranceRatio"], 0.0) + self.assertEqual(audit["issues"], []) + + diagnostics = dict(summary["diagnostics"]) + diagnostics.pop("performance", None) + signature = { + "physicalContract": summary["physicalContract"], + "eventTrace": summary["eventTrace"], + "outputContract": summary["outputContract"], + "diagnosticsWithoutPerformance": diagnostics, + } + if case_id not in stable_signatures: + stable_signatures[case_id] = signature + else: + self.assertEqual(stable_signatures[case_id], signature) + def test_both_horizons_have_the_expected_signal_schedule(self) -> None: assert self.validation.document is not None system = GenericFluidSystem( @@ -105,9 +161,16 @@ class MqlFullBranchesStaticRegressionTests(unittest.TestCase): ) class MqlFullBranchesLongRegressionTests(unittest.TestCase): def test_both_horizons_complete_within_their_safety_budgets(self) -> None: - report = run_regression_suite(MANIFEST_PATH, lane="solver-only") + report = run_regression_suite(MANIFEST_PATH, lane="production") outcomes = [case["outcome"] for case in report["cases"]] self.assertEqual(outcomes, ["completed", "completed"], report["cases"]) + self.assertTrue( + all( + case["acceptance"]["regressionGolden"]["passed"] + for case in report["cases"] + ), + report["cases"], + ) if __name__ == "__main__": diff --git a/tests/test_physical_state_v21.py b/tests/test_physical_state_v21.py new file mode 100644 index 0000000..e844083 --- /dev/null +++ b/tests/test_physical_state_v21.py @@ -0,0 +1,487 @@ +from __future__ import annotations + +import copy +import hashlib +import json +from pathlib import Path +import tempfile +import unittest +from unittest.mock import patch + +from app.simulation.benchmark_regression import summarize_simulation_result +from app.simulation.physical_state_v21 import ( + PHYSICAL_STATE_V21_ID, + PhysicalStateV21Error, + approve_candidate_golden, + assess_report_against_amesim, + build_amesim_reference, + build_candidate_golden, + compare_contract_to_amesim, + evaluate_physical_state_v21, + load_approved_golden, + project_physical_state_v21, + write_candidate_golden, +) + + +REPO_ROOT = Path(__file__).resolve().parents[1] +AMESIM_ARCHIVE = REPO_ROOT / "AmesimModels" / "test_mql.ame" +CANDIDATE_REPORT = ( + REPO_ROOT + / "tests/baselines/simulation/test_mql_8/runs" + / "2026-08-18-production-amesim-aligned-v1-candidate-0.2.json" +) + + +def _variable(key: str, quantity: str, unit: str, category: str) -> dict[str, str]: + return {"key": key, "quantity": quantity, "unit": unit, "category": category} + + +def _synthetic_result() -> dict[str, object]: + times = [0.0, 0.04, 0.2] + variables: list[dict[str, str]] = [] + series: dict[str, list[float]] = {"time": times} + + def add( + key: str, + values: list[float], + quantity: str, + unit: str, + category: str, + ) -> None: + variables.append(_variable(key, quantity, unit, category)) + series[key] = values + + add("amesim_pnch012_8.p", [100_000.0, 200_000.0, 300_000.0], "pressure", "Pa", "thermodynamic") + add("amesim_pnl0001_20.p", [100_000.0, 210_000.0, 310_000.0], "pressure", "Pa", "thermodynamic") + add("amesim_pnl0001_20.port_1.m_flow", [-0.1, -0.2, -0.3], "mass_flow", "kg/s", "port") + add("amesim_pnch012_8.port_1.m_flow", [0.1, 0.2, 0.3], "mass_flow", "kg/s", "port") + add("amesim_pnvo001_5.port_2.m_flow", [-0.2, -0.3, -0.4], "mass_flow", "kg/s", "port") + add("amesim_pnvo001_5.port_3.m_flow", [0.2, 0.3, 0.4], "mass_flow", "kg/s", "port") + for port, values in enumerate( + ([0.4, 0.5, 0.6], [-0.1, -0.2, -0.3], [-0.2, -0.2, -0.2], [-0.1, -0.1, -0.1]), + start=1, + ): + add(f"amesim_p4node2_8.port_{port}.m_flow", list(values), "mass_flow", "kg/s", "port") + add("amesim_pnvo001_5.xv", [0.0, 1.0, 1.0], "dimensionless", "", "derived") + add("amesim_mecmas21_9.x", [0.0, 0.0, 0.0], "length", "m", "state") + add("amesim_mecmas21_9.v", [0.0, 0.0, 0.0], "velocity", "m/s", "state") + add("amesim_mecmas21_9.port_1.f", [1.0, 1.0, 1.0], "force", "N", "port") + add("amesim_mecmas21_9.port_2.f", [2.0, 2.0, 2.0], "force", "N", "port") + add("amesim_mecmas21_10.x", [0.0, 0.0, 0.0], "length", "m", "state") + add("amesim_mecmas21_10.v", [0.0, 0.0, 0.0], "velocity", "m/s", "state") + add("amesim_mecmas21_10.port_1.f", [-2.0, -2.0, -2.0], "force", "N", "port") + add("amesim_mecmas21_10.port_2.f", [-1.0, -1.0, -1.0], "force", "N", "port") + add("storage_a.m", [1.0, 2.0, 3.0], "mass", "kg", "state") + add("storage_b.m", [4.0, 3.0, 2.0], "mass", "kg", "state") + return { + "success": True, + "status": "completed", + "partial": False, + "simulatedUntil": 0.2, + "requestedStopTime": 0.2, + "variables": variables, + "series": series, + "final": {key: values[-1] for key, values in series.items() if key != "time"}, + "diagnostics": {}, + } + + +class PhysicalStateProjectionTests(unittest.TestCase): + def test_projects_all_categories_with_units_and_strict_balances(self) -> None: + contract = project_physical_state_v21( + _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04 + ) + + self.assertEqual(contract["id"], PHYSICAL_STATE_V21_ID) + self.assertEqual( + contract["projectionCategories"], + ["pressure", "massFlow", "conservation", "discreteMode"], + ) + self.assertEqual(len(contract["layout"]["projectionKeys"]), 11) + endpoint = contract["checkpoints"][-1]["values"] + self.assertEqual(endpoint["conservation.totalStoredGasMass"], 5.0) + self.assertAlmostEqual(endpoint["conservation.p4node2_8.massBalance"], 0.0) + self.assertAlmostEqual(endpoint["conservation.pnvo001_5.massBalance"], 0.0) + self.assertAlmostEqual( + endpoint["conservation.pnl0001_20_pnch012_8.connectionMassBalance"], 0.0 + ) + self.assertEqual(endpoint["discrete.pnvo001_5.openMode"], 1.0) + self.assertEqual(endpoint["discrete.mecmas21_9.endstopMode"], 1.0) + self.assertEqual(endpoint["discrete.mecmas21_10.endstopMode"], -1.0) + pressure = contract["layout"]["projections"][0]["amesim"] + self.assertEqual(pressure["offset"], 101_300.0) + flow = contract["layout"]["projections"][2]["amesim"] + self.assertEqual(flow["scale"], -1.0e-3) + + def test_fails_closed_on_wrong_source_unit(self) -> None: + result = _synthetic_result() + next( + variable + for variable in result["variables"] + if variable["key"] == "amesim_pnch012_8.p" + )["unit"] = "bar" + + with self.assertRaisesRegex(PhysicalStateV21Error, "Unexpected metadata"): + project_physical_state_v21(result, checkpoint_times=(0.2,), sample_step=0.2) + + def test_benchmark_summary_attaches_v21_only_to_matching_result(self) -> None: + summary = summarize_simulation_result( + _synthetic_result(), checkpoint_times=(0.0, 0.2), sample_step=0.2 + ) + self.assertEqual(summary["physicalStateV21"]["id"], PHYSICAL_STATE_V21_ID) + + +class AmesimReferenceTests(unittest.TestCase): + def test_reference_records_archive_hash_units_signs_and_known_endpoint(self) -> None: + reference = build_amesim_reference(AMESIM_ARCHIVE, checkpoint_times=(0.2,)) + values = reference["checkpoints"][0]["values"] + + self.assertAlmostEqual(values["pressure.pnch012_8.absolute"], 3_625_053.2009413484) + self.assertAlmostEqual( + values["massFlow.pnl0001_20.port_1.intoComponent"], + -0.3728806429214546, + ) + self.assertEqual(values["discrete.mecmas21_9.endstopMode"], 1.0) + self.assertEqual(values["discrete.mecmas21_10.endstopMode"], -1.0) + provenance = reference["provenance"] + self.assertEqual(provenance["archivePath"], "AmesimModels/test_mql.ame") + self.assertEqual(len(provenance["archiveSha256"]), 64) + self.assertEqual( + [member["name"] for member in provenance["members"]], + ["test_mql_.var", "test_mql_.results"], + ) + + def test_current_candidate_endpoint_passes_explicit_amesim_alignment_profile(self) -> None: + assessment = assess_report_against_amesim( + CANDIDATE_REPORT, archive_path=AMESIM_ARCHIVE + ) + + comparison = assessment["comparison"] + self.assertEqual(assessment["coverage"], "legacyEndpointOnly") + self.assertTrue(comparison["passed"]) + self.assertEqual(comparison["comparedValueCount"], 9) + self.assertEqual(comparison["metricCount"], 11) + self.assertEqual(comparison["availableBaselineValueCount"], 9) + self.assertEqual(comparison["unavailableBaselineValueCount"], 2) + self.assertEqual(len(comparison["metrics"]), 11) + self.assertTrue( + all( + { + "requestedTime", + "key", + "category", + "actual", + "amesimBaseline", + "absoluteError", + "relativeError", + "evaluated", + "passed", + } + <= set(metric) + for metric in comparison["metrics"] + ) + ) + self.assertEqual( + comparison["worstValue"]["key"], + "massFlow.pnl0001_20.port_1.intoComponent", + ) + self.assertAlmostEqual( + comparison["worstValue"]["relativeError"], + 0.0013934852135053246, + ) + self.assertEqual( + comparison["toleranceProfile"]["byCategory"]["discreteMode"]["relative"], + 0.0, + ) + + def test_signal_jump_mass_flows_record_errors_but_are_not_evaluated(self) -> None: + contract = project_physical_state_v21( + _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04 + ) + reference_checkpoints = [] + for checkpoint in contract["checkpoints"]: + values = dict(checkpoint["values"]) + values["conservation.p4node2_8.massBalance"] = None + values[ + "conservation.pnl0001_20_pnch012_8.connectionMassBalance" + ] = None + if checkpoint["requestedTime"] == 0.04: + values["massFlow.pnl0001_20.port_1.intoComponent"] += 100.0 + values["massFlow.pnvo001_5.port_2.intoComponent"] -= 100.0 + reference_checkpoints.append( + {"requestedTime": checkpoint["requestedTime"], "values": values} + ) + + comparison = compare_contract_to_amesim( + contract, {"checkpoints": reference_checkpoints} + ) + + excluded = [ + metric + for metric in comparison["metrics"] + if metric["requestedTime"] == 0.04 and metric["category"] == "massFlow" + ] + self.assertTrue(comparison["passed"]) + self.assertEqual(comparison["metricCount"], 33) + self.assertEqual(comparison["availableBaselineValueCount"], 27) + self.assertEqual(comparison["unavailableBaselineValueCount"], 6) + self.assertEqual(comparison["comparedValueCount"], 25) + self.assertEqual(comparison["excludedValueCount"], 2) + self.assertEqual(len(comparison["metrics"]), 33) + self.assertEqual(len(excluded), 2) + self.assertTrue(all(metric["evaluated"] is False for metric in excluded)) + self.assertTrue(all(metric["passed"] is None for metric in excluded)) + self.assertTrue(all(metric["absoluteError"] > 99.0 for metric in excluded)) + self.assertTrue( + all("LeftRightLimit" in metric["exclusionReason"] for metric in excluded) + ) + self.assertNotIn(comparison["worstValue"], excluded) + + unavailable = [ + metric + for metric in comparison["metrics"] + if metric["amesimBaseline"] is None + ] + self.assertEqual(len(unavailable), 6) + self.assertTrue(all(metric["evaluated"] is False for metric in unavailable)) + self.assertTrue(all(metric["absoluteError"] is None for metric in unavailable)) + self.assertTrue(all(metric["relativeError"] is None for metric in unavailable)) + + def test_relative_error_uses_the_amesim_baseline_denominator(self) -> None: + contract = project_physical_state_v21( + _synthetic_result(), checkpoint_times=(0.2,), sample_step=0.2 + ) + values = dict(contract["checkpoints"][0]["values"]) + key = "pressure.pnch012_8.absolute" + values[key] = 0.5 * values[key] + + comparison = compare_contract_to_amesim( + contract, + {"checkpoints": [{"requestedTime": 0.2, "values": values}]}, + ) + metric = next(item for item in comparison["metrics"] if item["key"] == key) + expected = abs(metric["actual"] - metric["amesimBaseline"]) / abs( + metric["amesimBaseline"] + ) + + self.assertAlmostEqual(metric["relativeError"], expected) + self.assertAlmostEqual(metric["relativeErrorPercent"], 100.0 * expected) + self.assertTrue(metric["relativeErrorDefined"]) + + def test_zero_amesim_baseline_has_undefined_relative_error(self) -> None: + contract = project_physical_state_v21( + _synthetic_result(), checkpoint_times=(0.2,), sample_step=0.2 + ) + values = dict(contract["checkpoints"][0]["values"]) + key = "massFlow.pnl0001_20.port_1.intoComponent" + values[key] = -0.0 + + comparison = compare_contract_to_amesim( + contract, + {"checkpoints": [{"requestedTime": 0.2, "values": values}]}, + ) + metric = next(item for item in comparison["metrics"] if item["key"] == key) + + self.assertIsNone(metric["relativeError"]) + self.assertIsNone(metric["relativeErrorPercent"]) + self.assertFalse(metric["relativeErrorDefined"]) + self.assertEqual(metric["relativeErrorReason"], "zeroAmesimBaseline") + self.assertEqual(metric["comparisonBasis"], "absoluteNearZero") + self.assertEqual( + json.loads(json.dumps(comparison, allow_nan=False))["baselineAuthority"], + "amesim", + ) + + +class ReviewedGoldenProtocolTests(unittest.TestCase): + def _report_and_reference(self): + contract = project_physical_state_v21( + _synthetic_result(), checkpoint_times=(0.0, 0.04, 0.2), sample_step=0.04 + ) + report = { + "generatedAt": "2026-08-18T00:00:00+00:00", + "source": {"sha256": "a" * 64}, + "cases": [{ + "caseId": "0.2s", + "lane": "production", + "worker": {"summary": {"physicalStateV21": contract}}, + }], + } + keys = contract["layout"]["projectionKeys"] + reference_checkpoints = [] + for checkpoint in contract["checkpoints"]: + reference_checkpoints.append({ + "requestedTime": checkpoint["requestedTime"], + "values": {key: checkpoint["values"][key] for key in keys}, + }) + reference = { + "schemaVersion": 1, + "provenance": { + "archivePath": "AmesimModels/synthetic.ame", + "archiveBytes": 2, + "archiveSha256": "b" * 64, + "members": [ + {"name": "synthetic.var", "bytes": 1, "sha256": "c" * 64}, + { + "name": "synthetic.results", + "bytes": 1, + "sha256": "d" * 64, + }, + ], + }, + "storedMassDataPaths": ["mgas@synthetic"], + "checkpoints": reference_checkpoints, + } + return contract, report, reference + + def test_candidate_requires_exact_hash_and_is_approved_to_a_new_file(self) -> None: + contract, report, reference = self._report_and_reference() + with tempfile.TemporaryDirectory( + dir=REPO_ROOT, prefix=".physical-state-v21-test-" + ) as temporary_directory: + root = Path(temporary_directory) + report_path = root / "report.json" + report_path.write_text(json.dumps(report), encoding="utf-8") + candidate_path = root / "candidate.json" + approved_path = root / "approved.json" + with patch( + "app.simulation.physical_state_v21.build_amesim_reference", + return_value=reference, + ): + write_candidate_golden(report_path, candidate_path) + candidate = json.loads(candidate_path.read_text(encoding="utf-8")) + local_report = candidate["provenance"]["localSourceReport"] + self.assertFalse(Path(local_report["path"]).is_absolute()) + self.assertEqual(local_report["bytes"], report_path.stat().st_size) + candidate_sha = hashlib.sha256(candidate_path.read_bytes()).hexdigest() + + with self.assertRaisesRegex(PhysicalStateV21Error, "SHA mismatch"): + approve_candidate_golden( + candidate_path, + approved_path, + expected_candidate_sha256="0" * 64, + reviewed_by="reviewer", + note="reviewed", + ) + approve_candidate_golden( + candidate_path, + approved_path, + expected_candidate_sha256=candidate_sha, + reviewed_by="reviewer", + note="units, signs, and errors reviewed", + ) + golden = load_approved_golden(approved_path) + self.assertFalse(Path(golden["approval"]["candidatePath"]).is_absolute()) + golden["checkpoints"][-1]["values"][0] += 1.0e9 + self.assertTrue(evaluate_physical_state_v21(contract, golden)["passed"]) + + changed = copy.deepcopy(contract) + changed["checkpoints"][-1]["values"]["pressure.pnch012_8.absolute"] += 1000.0 + failure = evaluate_physical_state_v21(changed, golden) + self.assertFalse(failure["passed"]) + self.assertIn("amesimReferenceToleranceMismatch", failure["issues"]) + + def test_approval_rejects_failed_or_tampered_alignment(self) -> None: + _contract, report, reference = self._report_and_reference() + with tempfile.TemporaryDirectory() as temporary_directory: + root = Path(temporary_directory) + report_path = root / "report.json" + report_path.write_text(json.dumps(report), encoding="utf-8") + original_path = root / "candidate.json" + with patch( + "app.simulation.physical_state_v21.build_amesim_reference", + return_value=reference, + ): + write_candidate_golden(report_path, original_path) + original = json.loads(original_path.read_text(encoding="utf-8")) + + failed_alignment = copy.deepcopy(original) + failed_alignment["amesimAlignmentAtGeneration"]["passed"] = False + failed_path = root / "failed-alignment.json" + failed_path.write_text(json.dumps(failed_alignment), encoding="utf-8") + with self.assertRaisesRegex( + PhysicalStateV21Error, "AMESim alignment at generation" + ): + approve_candidate_golden( + failed_path, + root / "failed-approved.json", + expected_candidate_sha256=hashlib.sha256( + failed_path.read_bytes() + ).hexdigest(), + reviewed_by="reviewer", + note="must not override a failed alignment", + ) + + failed_metric = copy.deepcopy(original) + evaluated_metric = next( + metric + for metric in failed_metric["amesimAlignmentAtGeneration"]["metrics"] + if metric["evaluated"] + ) + evaluated_metric["passed"] = False + failed_metric_path = root / "failed-metric.json" + failed_metric_path.write_text(json.dumps(failed_metric), encoding="utf-8") + with self.assertRaisesRegex(PhysicalStateV21Error, "evaluated metric"): + approve_candidate_golden( + failed_metric_path, + root / "failed-metric-approved.json", + expected_candidate_sha256=hashlib.sha256( + failed_metric_path.read_bytes() + ).hexdigest(), + reviewed_by="reviewer", + note="must not override a failed metric", + ) + + def test_approval_rejects_local_conservation_residual(self) -> None: + _contract, report, reference = self._report_and_reference() + with tempfile.TemporaryDirectory() as temporary_directory: + root = Path(temporary_directory) + report_path = root / "report.json" + report_path.write_text(json.dumps(report), encoding="utf-8") + original_path = root / "candidate.json" + with patch( + "app.simulation.physical_state_v21.build_amesim_reference", + return_value=reference, + ): + write_candidate_golden(report_path, original_path) + candidate = json.loads(original_path.read_text(encoding="utf-8")) + key = "conservation.p4node2_8.massBalance" + value_index = candidate["layout"]["projectionKeys"].index(key) + candidate["checkpoints"][1]["values"][value_index] = 2.0e-9 + tampered_path = root / "conservation-residual.json" + tampered_path.write_text(json.dumps(candidate), encoding="utf-8") + + with self.assertRaisesRegex( + PhysicalStateV21Error, "local conservation residual" + ): + approve_candidate_golden( + tampered_path, + root / "residual-approved.json", + expected_candidate_sha256=hashlib.sha256( + tampered_path.read_bytes() + ).hexdigest(), + reviewed_by="reviewer", + note="must not override a local conservation failure", + ) + + def test_candidate_writer_refuses_overwrite_and_unapproved_file_is_rejected(self) -> None: + _contract, report, reference = self._report_and_reference() + with tempfile.TemporaryDirectory() as temporary_directory: + root = Path(temporary_directory) + report_path = root / "report.json" + report_path.write_text(json.dumps(report), encoding="utf-8") + output = root / "candidate.json" + with patch( + "app.simulation.physical_state_v21.build_amesim_reference", + return_value=reference, + ): + write_candidate_golden(report_path, output) + with self.assertRaisesRegex(PhysicalStateV21Error, "overwrite"): + write_candidate_golden(report_path, output) + with self.assertRaisesRegex(PhysicalStateV21Error, "approval.status"): + load_approved_golden(output) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_test_mql_8_regression.py b/tests/test_test_mql_8_regression.py index 4b8c5ad..d9eb473 100644 --- a/tests/test_test_mql_8_regression.py +++ b/tests/test_test_mql_8_regression.py @@ -154,6 +154,26 @@ class TestMql8StaticRegressionTests(unittest.TestCase): self.assertEqual(audit["maxAbsoluteError"], 0.0) self.assertEqual(audit["maxToleranceRatio"], 0.0) + def test_approved_production_golden_replays_its_source_report(self) -> None: + repository_root = Path(self.manifest["_repositoryRoot"]) + reference = self.manifest["variants"]["0.2s"]["goldens"]["production"] + golden = load_regression_golden( + repository_root / reference["path"], + expected_sha256=reference["sha256"], + repository_root=repository_root, + ) + source_report = golden["provenance"]["sourceReport"] + report = json.loads( + (repository_root / source_report["path"]).read_text(encoding="utf-8") + ) + case = next(item for item in report["cases"] if item["caseId"] == "0.2s") + audit = evaluate_regression_golden(case["worker"]["summary"], golden) + + self.assertTrue(audit["passed"], audit) + self.assertEqual(audit["comparedValueCount"], 426) + self.assertEqual(audit["maxAbsoluteError"], 0.0) + self.assertEqual(audit["maxToleranceRatio"], 0.0) + def test_historical_v2_extension_decision_remains_auditable(self) -> None: repository_root = Path(self.manifest["_repositoryRoot"]) runs = repository_root / "tests/baselines/simulation/test_mql_8/runs" @@ -202,7 +222,70 @@ class TestMql8StaticRegressionTests(unittest.TestCase): self.assertEqual(first_decision["outcome"], "deferred") self.assertTrue(decision["simulationWasNotStartedForDeferredCases"]) - def test_periodic_main_lane_uses_the_current_production_source(self) -> None: + def test_extension_decision_is_bound_to_the_current_report_and_budget(self) -> None: + repository_root = Path(self.manifest["_repositoryRoot"]) + evidence = self.manifest["acceptanceEvidence"] + decision_reference = evidence["extensionDecision"] + decision_path = repository_root / decision_reference["path"] + decision_payload = decision_path.read_bytes() + decision = json.loads(decision_payload) + report_reference = evidence["production0.2ApprovedReplay"] + report_path = repository_root / report_reference["path"] + report_payload = report_path.read_bytes() + report = json.loads(report_payload) + source_case = next( + item for item in report["cases"] if item["caseId"] == "0.2s" + ) + first_decision = decision["decisions"][0] + + self.assertEqual( + decision["sourceXmlSha256"], self.manifest["source"]["sha256"] + ) + self.assertEqual(decision["sourceReport"], report_path.name) + self.assertEqual(len(report_payload), report_reference["bytes"]) + self.assertEqual( + hashlib.sha256(report_payload).hexdigest(), report_reference["sha256"] + ) + self.assertEqual(len(decision_payload), decision_reference["bytes"]) + self.assertEqual( + hashlib.sha256(decision_payload).hexdigest(), + decision_reference["sha256"], + ) + self.assertEqual( + hashlib.sha256(report_payload).hexdigest(), + decision["sourceReportSha256"], + ) + self.assertTrue(source_case["acceptance"]["passed"]) + self.assertEqual( + decision["observedCase"]["workerWallSeconds"], + source_case["worker"]["wallSeconds"], + ) + expected_prediction = ( + source_case["worker"]["wallSeconds"] + * self.manifest["variants"]["1s"]["stopTime"] + / source_case["stopTime"] + * self.manifest["execution"]["predictionSafetyFactor"] + ) + self.assertAlmostEqual( + first_decision["predictedWallSeconds"], expected_prediction + ) + self.assertLessEqual( + first_decision["predictedWallSeconds"], + first_decision["softTimeoutSeconds"], + ) + self.assertEqual(first_decision["outcome"], "eligible") + self.assertEqual(first_decision["reason"], "predictedWallWithinSoftBudget") + self.assertEqual( + [item["outcome"] for item in decision["decisions"]], + ["eligible", "notEvaluated", "notEvaluated"], + ) + self.assertTrue(decision["extensionWasNotStarted"]) + self.assertEqual( + decision["scopeReason"], + "OPT-00 closes at the approved production 0.2 s gate; longer progressive horizons remain separately staged work.", + ) + + def test_periodic_main_lane_exercises_the_approved_production_golden(self) -> None: workflow = ( Path(self.manifest["_repositoryRoot"]) / ".github/workflows/solver-regression.yml" @@ -210,12 +293,11 @@ class TestMql8StaticRegressionTests(unittest.TestCase): self.assertIn("default: production", workflow) self.assertIn("inputs.lane || 'production'", workflow) - self.assertNotIn("goldens", self.manifest["variants"]["0.2s"]) @unittest.skipUnless( os.getenv(LONG_RUN_ENVIRONMENT, "").strip().lower() in {"1", "true", "yes"}, - f"Set {LONG_RUN_ENVIRONMENT}=1 to run bounded 0.005/0.2/1/5/10 s integration.", + f"Set {LONG_RUN_ENVIRONMENT}=1 to run bounded 0.01/0.2/1/5/10 s integration.", ) class TestMql8ProgressiveLongRegressionTests(unittest.TestCase): @classmethod diff --git a/tests/test_test_mql_ame_contract.py b/tests/test_test_mql_ame_contract.py new file mode 100644 index 0000000..a51ec19 --- /dev/null +++ b/tests/test_test_mql_ame_contract.py @@ -0,0 +1,857 @@ +from __future__ import annotations + +import ast +from collections import Counter +from collections.abc import Mapping +from dataclasses import dataclass +import hashlib +import json +import math +import operator +from pathlib import Path +import re +import tarfile +import unittest +import xml.etree.ElementTree as ET + +from app.simulation.registry import get_component_model_spec +from app.simulation.reporting.amesim_results import load_test_mql_amesim_results + + +REPOSITORY_ROOT = Path(__file__).resolve().parents[1] +AME_PATH = REPOSITORY_ROOT / "AmesimModels" / "test_mql.ame" +JSON_PATH = REPOSITORY_ROOT / "tests/data/test-mql-8.json" +XML_PATH = REPOSITORY_ROOT / "tests/data/test-mql-8.xml" +MANIFEST_PATH = ( + REPOSITORY_ROOT + / "tests/baselines/simulation/test_mql_8/manifest.json" +) + +EXPECTED_AME_SHA256 = ( + "cbc3aadd4569a49b3a63e5d66d4143ec16126c0f950df73fb637e07673c20fbb" +) +EXPECTED_AME_BYTES = 21_708_800 +EXPECTED_MODEL_TYPE_COUNT = 20 +EXPECTED_NODE_COUNT = 157 +EXPECTED_PARAMETER_COUNT = 1_092 +EXPECTED_CONNECTION_COUNT = 178 +EXPECTED_RESULT_POINT_COUNT = 1_002 +AMESIM_REFERENCE_PRESSURE_PA = 101_300.0 + +_BINARY_OPERATORS = { + ast.Add: operator.add, + ast.Sub: operator.sub, + ast.Mult: operator.mul, + ast.Div: operator.truediv, + ast.Pow: operator.pow, +} +_UNARY_OPERATORS = {ast.UAdd: operator.pos, ast.USub: operator.neg} + +# Public component names for AMESim state/output values that are promoted to +# explicit initial-value parameters. Unlisted names map one-to-one. +_SOURCE_FIELD_BY_PARAMETER = { + "amesim_mecmas21": {"v0": "v1", "x0": "x1"}, + "amesim_pnch012": {"p0": "press", "T0": "temp"}, + "amesim_pnch023": {"p0": "press", "T0": "temp"}, + "amesim_pnl0001": {"p0": "p2", "T0": "t2"}, + "amesim_pnl0002": {"p0": "pctr", "T0": "tctr"}, + "amesim_pnl0003": { + "p1_0": "p1", + "T1_0": "t1", + "p2_0": "p2", + "T2_0": "t2", + }, + "amesim_step0": {"initial": "out0", "final": "out1", "time": "t0"}, +} +_FIXED_PUBLIC_DEFAULTS = { + "amesim_pnch012": { + "vol1": 0.0, + "vol2": 0.0, + "vol3": 0.0, + "vol4": 0.0, + "dvol1": 0.0, + "dvol2": 0.0, + "dvol3": 0.0, + "dvol4": 0.0, + }, + "amesim_pnvo001": {"opening0": 1.0}, +} +_GAUGE_PRESSURE_FIELDS = {"press", "p1", "p2", "pctr"} +_SOURCE_TO_SI_SCALE = { + ("mm", "m"): 1.0e-3, + ("mm**2", "m2"): 1.0e-6, + ("L", "m3"): 1.0e-3, + ("N/mm", "N/m"): 1.0e3, + ("N/(mm/s)", "N/(m/s)"): 1.0e3, +} +_EQUIVALENT_UNIT_PAIRS = { + ("", ""), + ("null", ""), + ("degree", ""), + ("J/m**2/K/s", "W/(m2*K)"), + ("N/m**2", "Pa"), + ("m**2", "m2"), + ("N/(m/s)**2", "N/(m/s)^2"), +} +_SELECTABLE_UNITS_BY_QUANTITY = { + "area": {"m2", "cm2", "mm2"}, + "heat_transfer_coefficient": {"W/(m2*K)"}, + "pressure": {"Pa", "kPa", "MPa", "bar"}, + "volume": {"m3", "L", "mL"}, + "temperature": {"K", "degC"}, + "length": {"m", "cm", "mm"}, +} + + +@dataclass(frozen=True) +class AmesimValue: + expression: str + unit: str + + +@dataclass(frozen=True) +class AmesimContract: + simulation_values: tuple[float, ...] + node_types: Mapping[str, str] + parameters: Mapping[str, Mapping[str, float]] + edges: tuple[tuple[str, str], ...] + component_count: int + modeled_line_count: int + direct_line_count: int + contact_count: int + + +def _element_text(body: str, name: str) -> str | None: + match = re.search(rf"<{name}>(.*?)", body, flags=re.DOTALL) + return match.group(1).strip() if match else None + + +def _required_element_text(body: str, name: str) -> str: + value = _element_text(body, name) + if value is None: + raise AssertionError(f"AME circuit element is missing <{name}>.") + return value + + +def _blocks(body: str, name: str) -> list[str]: + return re.findall( + rf"<{name}>\s*(.*?)\s*", body, flags=re.DOTALL + ) + + +def _evaluate_expression(expression: str, variables: Mapping[str, float]) -> float: + parsed = ast.parse(expression.strip().replace("^", "**"), mode="eval") + + def evaluate(node: ast.AST) -> float: + if ( + isinstance(node, ast.Constant) + and isinstance(node.value, (int, float)) + and not isinstance(node.value, bool) + ): + return float(node.value) + if isinstance(node, ast.Name): + if node.id not in variables: + raise ValueError(f"unknown AME expression variable {node.id!r}") + return float(variables[node.id]) + if isinstance(node, ast.BinOp) and type(node.op) in _BINARY_OPERATORS: + return float( + _BINARY_OPERATORS[type(node.op)]( + evaluate(node.left), evaluate(node.right) + ) + ) + if isinstance(node, ast.UnaryOp) and type(node.op) in _UNARY_OPERATORS: + return float(_UNARY_OPERATORS[type(node.op)](evaluate(node.operand))) + raise ValueError(f"unsupported expression node {type(node).__name__}") + + value = evaluate(parsed.body) + if not math.isfinite(value): + raise ValueError(f"expression is not finite: {expression!r}") + return value + + +def _public_model_type(submodel: str) -> str: + return ( + "amesim_helium_medium" + if submodel == "PNGD00" + else f"amesim_{submodel.lower()}" + ) + + +def _value_fields(entity_body: str) -> dict[str, AmesimValue]: + fields: dict[str, AmesimValue] = {} + for kind in ("RPARAM", "IPARAM", "IVAR", "EVAR"): + for field_body in _blocks(entity_body, kind): + name = _element_text(field_body, "VARNAME") + value = _element_text(field_body, "VALUE") + if name is not None and value is not None: + fields[name] = AmesimValue( + value, _element_text(field_body, "UNITS") or "" + ) + return fields + + +def _resolve_globals(cir_text: str) -> dict[str, float]: + remaining = { + _required_element_text(body, "GLOB_PARAM_NAME"): _required_element_text( + body, "VALUE" + ) + for body in _blocks(cir_text, "GLOBALPARAM") + } + resolved: dict[str, float] = {} + while remaining: + progressed = False + for name, expression in tuple(remaining.items()): + try: + resolved[name] = _evaluate_expression(expression, resolved) + except ValueError: + continue + del remaining[name] + progressed = True + if not progressed: + raise AssertionError( + "Unable to resolve AME globals: " + ", ".join(sorted(remaining)) + ) + return resolved + + +def _source_value_in_public_units( + source: AmesimValue, + *, + target_unit: str, + source_name: str, + globals_: Mapping[str, float], +) -> float: + value = _evaluate_expression(source.expression, globals_) + if source_name in _GAUGE_PRESSURE_FIELDS: + if (source.unit, target_unit) != ("Pa", "Pa"): + raise AssertionError( + f"Unexpected gauge-pressure units for {source_name}: " + f"{source.unit!r} -> {target_unit!r}." + ) + return value + AMESIM_REFERENCE_PRESSURE_PA + + pair = (source.unit, target_unit) + if pair in _SOURCE_TO_SI_SCALE: + return value * _SOURCE_TO_SI_SCALE[pair] + if source.unit == target_unit or pair in _EQUIVALENT_UNIT_PAIRS: + return value + raise AssertionError( + f"No AME-to-public conversion for {source_name}: " + f"{source.unit!r} -> {target_unit!r}." + ) + + +def _expected_parameters( + entity_body: str, + model_type: str, + globals_: Mapping[str, float], +) -> dict[str, float]: + spec = get_component_model_spec(model_type) + fields = _value_fields(entity_body) + expected = { + parameter.name: float(parameter.default) for parameter in spec.parameters + } + source_names = _SOURCE_FIELD_BY_PARAMETER.get(model_type, {}) + fixed_defaults = _FIXED_PUBLIC_DEFAULTS.get(model_type, {}) + unbound: list[str] = [] + for parameter in spec.parameters: + source_name = source_names.get(parameter.name, parameter.name) + if source_name in fields: + expected[parameter.name] = _source_value_in_public_units( + fields[source_name], + target_unit=parameter.unit, + source_name=source_name, + globals_=globals_, + ) + elif parameter.name in fixed_defaults: + expected[parameter.name] = fixed_defaults[parameter.name] + if float(parameter.default) != expected[parameter.name]: + raise AssertionError( + f"{model_type}.{parameter.name} changed its fixed public " + "default without an AME source-field mapping." + ) + elif not ( + (model_type == "amesim_forc" and parameter.name == "direction") + or ( + model_type == "amesim_helium_medium" + and parameter.name == "property_model" + ) + ): + unbound.append(parameter.name) + + if unbound: + raise AssertionError( + f"AME parameter mapping is incomplete for {model_type}: " + + ", ".join(unbound) + ) + + if model_type == "amesim_forc": + geometry = _required_element_text(entity_body, "COMP_GEOMETRY") + if geometry not in {"2", "8"}: + raise AssertionError(f"Unsupported FORC geometry {geometry!r}.") + expected["direction"] = 1.0 if geometry == "2" else -1.0 + + if model_type == "amesim_helium_medium": + codes = tuple( + _evaluate_expression(fields[name].expression, globals_) + for name in ("fluidType", "eosType", "gasSetting") + ) + if codes != (12.0, 6.0, 1.0): + raise AssertionError( + "PNGD00 no longer selects helium/Peng-Robinson." + ) + expected["property_model"] = 0.0 + return expected + + +def _load_ame_contract(path: Path) -> AmesimContract: + with tarfile.open(path) as archive: + cir_file = archive.extractfile("test_mql_.cir") + sim_file = archive.extractfile("test_mql_.sim") + if cir_file is None or sim_file is None: + raise AssertionError( + "AME archive is missing test_mql_.cir or test_mql_.sim." + ) + cir_text = cir_file.read().decode("latin1") + simulation_values = tuple( + float(value) + for value in sim_file.read().decode("ascii").splitlines()[0].split() + ) + + globals_ = _resolve_globals(cir_text) + component_bodies = _blocks(cir_text, "COMP") + line_bodies = _blocks(cir_text, "LINE") + node_types: dict[str, str] = {} + parameters: dict[str, Mapping[str, float]] = {} + for index, body in enumerate(component_bodies): + key = f"component:{index}" + model_type = _public_model_type( + _required_element_text(body, "SUB_NAME") + ) + node_types[key] = model_type + parameters[key] = _expected_parameters(body, model_type, globals_) + + # PORT_CONNECT=1 is an AMESim contact; line-backed ports use value 2 and + # are reconstructed from LINES_LIST below. + directed_contacts: set[ + tuple[tuple[int, int], tuple[int, int]] + ] = set() + contacts: set[tuple[tuple[int, int], tuple[int, int]]] = set() + for component_index, body in enumerate(component_bodies): + for port_index, port_body in enumerate(_blocks(body, "COMP_PORT")): + if _required_element_text(port_body, "PORT_CONNECT") != "1": + continue + for connection_body in _blocks(port_body, "CONNECT"): + target_index = int( + _required_element_text( + connection_body, "CONNECT_ENTITY_NUM" + ) + ) + target_port = int( + _required_element_text( + connection_body, "CONNECT_ENTITY_PORT" + ) + ) + endpoint = (component_index, port_index) + target = (target_index, target_port) + directed_contacts.add((endpoint, target)) + contacts.add(tuple(sorted((endpoint, target)))) + + for endpoint, target in directed_contacts: + if (target, endpoint) not in directed_contacts: + raise AssertionError( + "AME component contact is not reciprocal: " + f"{endpoint} -> {target}." + ) + edges = [ + (f"component:{first[0]}", f"component:{second[0]}") + for first, second in contacts + ] + + direct_line_count = 0 + modeled_line_count = 0 + for line_index, body in enumerate(line_bodies): + if ( + _required_element_text(body, "LINE_START_TYPE") != "0" + or _required_element_text(body, "LINE_END_TYPE") != "0" + ): + raise AssertionError( + "test_mql contains a non-component line endpoint." + ) + start = ( + "component:" + + _required_element_text(body, "LINE_START_ENTITY") + ) + end = ( + "component:" + + _required_element_text(body, "LINE_END_ENTITY") + ) + if start not in node_types or end not in node_types: + raise AssertionError( + f"AME line references an unknown endpoint: {start}, {end}." + ) + submodel = _required_element_text(body, "SUB_NAME") + if submodel == "DIRECT": + direct_line_count += 1 + edges.append((start, end)) + continue + + modeled_line_count += 1 + key = f"line:{line_index}" + model_type = _public_model_type(submodel) + node_types[key] = model_type + parameters[key] = _expected_parameters( + body, model_type, globals_ + ) + edges.extend(((start, key), (key, end))) + + return AmesimContract( + simulation_values=simulation_values, + node_types=node_types, + parameters=parameters, + edges=tuple(edges), + component_count=len(component_bodies), + modeled_line_count=modeled_line_count, + direct_line_count=direct_line_count, + contact_count=len(contacts), + ) + + +def _numeric_project_value(value: object) -> float: + if isinstance(value, bool): + raise AssertionError( + "Boolean is not a valid project parameter value." + ) + if isinstance(value, (int, float)): + result = float(value) + elif isinstance(value, str): + result = _evaluate_expression(value, {}) + else: + raise AssertionError( + f"Unsupported project parameter value {value!r}." + ) + if not math.isfinite(result): + raise AssertionError( + f"Project parameter value is not finite: {value!r}." + ) + return result + + +def _parameter_fingerprint( + values: Mapping[str, object], +) -> tuple[tuple[str, str], ...]: + # Fifteen significant digits collapse only normal IEEE-754 expression + # noise (for example 100000.00000000001 versus 100000). + return tuple( + sorted( + (name, format(_numeric_project_value(value), ".15g")) + for name, value in values.items() + ) + ) + + +def _topology_fingerprints( + node_types: Mapping[str, str], + edges: tuple[tuple[str, str], ...], + *, + rounds: int = 12, +) -> tuple[Counter[str], ...]: + adjacency = {node_id: [] for node_id in node_types} + for first, second in edges: + if first not in adjacency or second not in adjacency: + raise AssertionError( + f"Unknown topology endpoint: {first}, {second}." + ) + adjacency[first].append(second) + adjacency[second].append(first) + + colors = { + node_id: hashlib.sha256(model_type.encode()).hexdigest() + for node_id, model_type in node_types.items() + } + fingerprints: list[Counter[str]] = [] + for _ in range(rounds): + colors = { + node_id: hashlib.sha256( + repr( + ( + node_types[node_id], + colors[node_id], + sorted( + colors[neighbor] + for neighbor in adjacency[node_id] + ), + ) + ).encode() + ).hexdigest() + for node_id in node_types + } + fingerprints.append(Counter(colors.values())) + return tuple(fingerprints) + + +class TestMqlAmeAuthorityContractTests(unittest.TestCase): + @classmethod + def setUpClass(cls) -> None: + cls.ame_payload = AME_PATH.read_bytes() + cls.ame = _load_ame_contract(AME_PATH) + cls.project = json.loads(JSON_PATH.read_text(encoding="utf-8")) + cls.xml_root = ET.parse(XML_PATH).getroot() + cls.manifest = json.loads( + MANIFEST_PATH.read_text(encoding="utf-8") + ) + + def test_manifest_and_results_bind_the_exact_ame_archive(self) -> None: + self.assertEqual(len(self.ame_payload), EXPECTED_AME_BYTES) + self.assertEqual( + hashlib.sha256(self.ame_payload).hexdigest(), + EXPECTED_AME_SHA256, + ) + + reference = self.manifest["source"]["referenceArchive"] + self.assertEqual( + reference, + { + "path": "AmesimModels/test_mql.ame", + "sha256": EXPECTED_AME_SHA256, + "bytes": EXPECTED_AME_BYTES, + "role": "authoritativePhysicalBaseline", + "resultStartTime": 0.0, + "resultStopTime": 10.0, + "resultSampleStep": 0.01, + "resultPointCount": EXPECTED_RESULT_POINT_COUNT, + }, + ) + self.assertEqual( + (REPOSITORY_ROOT / reference["path"]).resolve(), + AME_PATH.resolve(), + ) + + # .sim: start, stop, print interval, ..., maximum integration step. + self.assertGreaterEqual(len(self.ame.simulation_values), 6) + self.assertEqual(self.ame.simulation_values[0], 0.0) + self.assertEqual(self.ame.simulation_values[1], 10.0) + self.assertEqual(self.ame.simulation_values[2], 0.01) + self.assertEqual(self.ame.simulation_values[5], 0.001) + + results = load_test_mql_amesim_results(AME_PATH) + self.assertEqual( + len(results.times), EXPECTED_RESULT_POINT_COUNT + ) + self.assertEqual( + results.times[0], reference["resultStartTime"] + ) + self.assertEqual( + results.times[-1], reference["resultStopTime"] + ) + self.assertTrue( + all( + left < right + for left, right in zip( + results.times, results.times[1:] + ) + ) + ) + step = reference["resultSampleStep"] + self.assertTrue( + all( + math.isclose( + time, + round(time / step) * step, + rel_tol=0.0, + abs_tol=1.0e-10, + ) + for time in results.times + ) + ) + + def test_json_inventory_parameters_and_topology_derive_from_ame( + self, + ) -> None: + nodes = self.project["nodes"] + edges = self.project["edges"] + json_node_types = { + node["id"]: node["data"]["modelType"] for node in nodes + } + json_edges = tuple( + (edge["source"], edge["target"]) for edge in edges + ) + + self.assertEqual(self.ame.component_count, 117) + self.assertEqual(self.ame.modeled_line_count, 40) + self.assertEqual(self.ame.direct_line_count, 44) + self.assertEqual(self.ame.contact_count, 54) + self.assertEqual( + len(self.ame.node_types), EXPECTED_NODE_COUNT + ) + self.assertEqual( + len(self.ame.edges), EXPECTED_CONNECTION_COUNT + ) + self.assertEqual( + len(set(self.ame.node_types.values())), + EXPECTED_MODEL_TYPE_COUNT, + ) + + self.assertEqual(len(nodes), EXPECTED_NODE_COUNT) + self.assertEqual(len(edges), EXPECTED_CONNECTION_COUNT) + self.assertEqual( + len(set(json_node_types.values())), + EXPECTED_MODEL_TYPE_COUNT, + ) + self.assertEqual( + Counter(self.ame.node_types.values()), + Counter(json_node_types.values()), + ) + + expected_parameter_count = sum( + len(values) for values in self.ame.parameters.values() + ) + actual_parameter_count = sum( + len(node["data"]["parameters"]) for node in nodes + ) + self.assertEqual( + expected_parameter_count, EXPECTED_PARAMETER_COUNT + ) + self.assertEqual( + actual_parameter_count, EXPECTED_PARAMETER_COUNT + ) + + expected_by_type: dict[ + str, Counter[tuple[tuple[str, str], ...]] + ] = {} + for node_id, model_type in self.ame.node_types.items(): + expected_by_type.setdefault(model_type, Counter()).update( + [ + _parameter_fingerprint( + self.ame.parameters[node_id] + ) + ] + ) + actual_by_type: dict[ + str, Counter[tuple[tuple[str, str], ...]] + ] = {} + for node in nodes: + model_type = node["data"]["modelType"] + actual_by_type.setdefault(model_type, Counter()).update( + [ + _parameter_fingerprint( + node["data"]["parameters"] + ) + ] + ) + self.assertEqual(actual_by_type, expected_by_type) + + expected_edge_types = Counter( + tuple( + sorted( + ( + self.ame.node_types[first], + self.ame.node_types[second], + ) + ) + ) + for first, second in self.ame.edges + ) + actual_edge_types = Counter( + tuple( + sorted( + ( + json_node_types[first], + json_node_types[second], + ) + ) + ) + for first, second in json_edges + ) + self.assertEqual(actual_edge_types, expected_edge_types) + self.assertEqual( + _topology_fingerprints( + json_node_types, json_edges + ), + _topology_fingerprints( + self.ame.node_types, self.ame.edges + ), + ) + + def test_json_units_and_component_contracts_are_complete( + self, + ) -> None: + for node in self.project["nodes"]: + with self.subTest(component=node["id"]): + data = node["data"] + self.assertEqual( + data["componentType"], data["modelType"] + ) + spec = get_component_model_spec(data["modelType"]) + self.assertEqual( + data["modelVersion"], spec.model_version + ) + self.assertEqual( + set(data["parameters"]), + { + parameter.name + for parameter in spec.parameters + }, + ) + self.assertEqual( + {port["name"] for port in data["ports"]}, + {port.name for port in spec.ports}, + ) + + units = data.get("parameterUnits", {}) + self.assertEqual( + set(units), + { + parameter.name + for parameter in spec.parameters + if parameter.unit + }, + ) + for parameter in spec.parameters: + if not parameter.unit: + continue + selected = units[parameter.name] + allowed = _SELECTABLE_UNITS_BY_QUANTITY.get( + parameter.quantity, {parameter.unit} + ) + self.assertIn(selected, allowed, parameter.name) + + def test_json_and_xml_match_by_id_parameter_endpoint_and_time( + self, + ) -> None: + xml_components = self.xml_root.findall( + "./Components/Component" + ) + xml_connections = self.xml_root.findall( + "./Connections/Connection" + ) + xml_component_by_id = { + component.attrib["id"]: component + for component in xml_components + } + xml_connection_by_id = { + connection.attrib["id"]: connection + for connection in xml_connections + } + json_node_by_id = { + node["id"]: node for node in self.project["nodes"] + } + json_edge_by_id = { + edge["id"]: edge for edge in self.project["edges"] + } + + self.assertEqual( + len(xml_component_by_id), len(xml_components) + ) + self.assertEqual( + len(xml_connection_by_id), len(xml_connections) + ) + self.assertEqual( + set(xml_component_by_id), set(json_node_by_id) + ) + self.assertEqual( + set(xml_connection_by_id), set(json_edge_by_id) + ) + + for node_id, node in json_node_by_id.items(): + with self.subTest(component=node_id): + component = xml_component_by_id[node_id] + data = node["data"] + self.assertEqual( + component.attrib["type"], data["modelType"] + ) + self.assertEqual( + component.attrib["modelVersion"], + data["modelVersion"], + ) + xml_parameters = { + parameter.attrib["name"]: float( + parameter.attrib["value"] + ) + for parameter in component.findall("./Parameter") + } + json_parameters = { + name: _numeric_project_value(value) + for name, value in data["parameters"].items() + } + self.assertEqual( + set(xml_parameters), set(json_parameters) + ) + for name, value in json_parameters.items(): + self.assertTrue( + math.isclose( + xml_parameters[name], + value, + rel_tol=1.0e-13, + abs_tol=1.0e-13, + ), + ( + f"{node_id}.{name}: " + f"XML={xml_parameters[name]!r}, " + f"JSON={value!r}" + ), + ) + + for edge_id, edge in json_edge_by_id.items(): + with self.subTest(connection=edge_id): + endpoints = { + ( + endpoint.attrib["component"], + endpoint.attrib["port"], + ) + for endpoint in xml_connection_by_id[ + edge_id + ].findall("./Endpoint") + } + self.assertEqual( + endpoints, + { + ( + edge["source"], + edge["sourceHandle"], + ), + ( + edge["target"], + edge["targetHandle"], + ), + }, + ) + + xml_simulation = self.xml_root.find("./Simulation") + self.assertIsNotNone(xml_simulation) + assert xml_simulation is not None + project_simulation = self.project["simulation"] + expected_simulation = { + "tStart": float(project_simulation["t_start"]), + "tStop": float(project_simulation["t_stop"]), + "sampleStep": float(project_simulation["step"]), + "maxStep": float(project_simulation["max_step"]), + } + for name, expected in expected_simulation.items(): + self.assertEqual( + float(xml_simulation.attrib[name]), expected + ) + self.assertEqual( + xml_simulation.attrib["method"], + project_simulation["method"], + ) + self.assertEqual( + project_simulation["t_start"], + self.ame.simulation_values[0], + ) + self.assertEqual( + project_simulation["t_stop"], + self.ame.simulation_values[1], + ) + self.assertEqual( + project_simulation["step"], + self.ame.simulation_values[2], + ) + self.assertEqual( + project_simulation["max_step"], + self.ame.simulation_values[5], + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_test_mql_comparison.py b/tests/test_test_mql_comparison.py index bbb30ab..726926a 100644 --- a/tests/test_test_mql_comparison.py +++ b/tests/test_test_mql_comparison.py @@ -1,10 +1,14 @@ from __future__ import annotations +import csv import tempfile import unittest from pathlib import Path -from app.simulation.reporting.amesim_results import load_test_mql_amesim_results +from app.simulation.reporting.amesim_results import ( + AmesimResults, + load_test_mql_amesim_results, +) from app.simulation.reporting.test_mql_comparison import ( DEFAULT_TEST_MQL_ALIGNMENT_PATHS, TestMqlComparisonError, @@ -84,6 +88,46 @@ class TestMqlComparisonTests(unittest.TestCase): self.assertAlmostEqual(metric.mean_abs_error, 1.0) self.assertGreater(metric.max_rel_error, 0.0) + def test_zero_amesim_baseline_does_not_invent_a_relative_denominator(self) -> None: + amesim_results = AmesimResults( + times=(0.0, 1.0), + variables=(), + saved_variable_indices=(), + series_by_data_path={"zero@baseline": (0.0, -0.0)}, + final_values_by_data_path={"zero@baseline": -0.0}, + ) + + comparison = compare_test_mql_series( + python_times=(0.0, 1.0), + python_series_by_data_path={"zero@baseline": (0.0, 1.0e-6)}, + amesim_results=amesim_results, + data_paths=("zero@baseline",), + ) + metric = comparison.metric("zero@baseline") + + self.assertEqual(metric.max_abs_error, 1.0e-6) + self.assertEqual(metric.undefined_rel_error_count, 2) + self.assertEqual(metric.near_zero_baseline_count, 2) + self.assertEqual(comparison.undefined_rel_error_count, 2) + self.assertEqual(metric.max_rel_error, 0.0) + + with tempfile.TemporaryDirectory() as temp_dir: + comparison_path, _summary_path, _comparison = ( + write_test_mql_comparison_csv( + output_dir=Path(temp_dir), + python_times=(0.0, 1.0), + python_series_by_data_path={ + "zero@baseline": (0.0, 1.0e-6) + }, + amesim_results=amesim_results, + data_paths=("zero@baseline",), + ) + ) + with comparison_path.open(newline="", encoding="utf-8") as handle: + rows = list(csv.reader(handle)) + self.assertEqual(rows[1][-1], "") + self.assertEqual(rows[2][-1], "") + def test_missing_data_path_is_rejected(self) -> None: with self.assertRaises(TestMqlComparisonError): compare_test_mql_series(