mirror of
https://github.com/azaion/gps-denied-onboard.git
synced 2026-06-21 21:31:13 +00:00
89c223882b
Defines the public `CrossDomainMatcher` Protocol (PEP 544 @runtime_checkable, two methods: `match` + `health_snapshot`), the three frozen+slotted DTOs (`CandidateMatchSet`, `MatchResult`, `MatcherHealth`) in the L1 `_types/matcher.py` layer, the `MatcherError` family (`MatcherBackboneError`, `InsufficientInliersError`), and the composition-root `build_matcher_strategy` factory with lazy-import + `BUILD_MATCHER_<variant>` gating per ADR-002. `RollingHealthWindow` accumulator (60 s, amortised O(1) update, strict O(1) snapshot) is constructed by the factory and injected into every concrete matcher so all backbones share window semantics; this is what backs C5's spoof-promotion gate. Legacy placeholder `MatchResult` removed from `_types/matching.py`; import-only consumers (`c4_pose.interface`, `c3_5_adhop.interface`) repointed at the new `_types/matcher.py` home — zero behavioural change to those components. AC-9 (single-thread binding) and AC-10 (LightGlueRuntime identity-share with C2.5) deferred to AZ-270 runtime-root composition, mirroring the AZ-342 Risk-4 escape clause. All other ACs + NFRs covered by 70 new conformance tests. Co-authored-by: Cursor <cursoragent@cursor.com>
681 lines
22 KiB
Python
681 lines
22 KiB
Python
"""AZ-344 — C3 CrossDomainMatcher Protocol + DTO + error + factory conformance.
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Covers AC-1..AC-8 + AC-11 + AC-12 + NFRs. AC-9 (single-thread
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binding) and AC-10 (LightGlueRuntime identity-share between C3 and
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C2.5) are deferred per the task spec's Risk-4 escape clause — the
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generic compose_root thread-binding registry and the cross-factory
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helper identity assertion live with AZ-270 and the broader runtime
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root composition. Each factory owns its own thread binding today
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and the runtime-root wiring path that identity-shares the
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``LightGlueRuntime`` is asserted in AZ-270's integration tests.
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"""
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from __future__ import annotations
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import dataclasses
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import logging
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import sys
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import time
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import types
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import numpy as np
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import pytest
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from gps_denied_onboard._types.matcher import (
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CandidateMatchSet,
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MatchResult,
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MatcherHealth,
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)
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from gps_denied_onboard.components.c3_matcher import (
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C3MatcherConfig,
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CrossDomainMatcher,
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InsufficientInliersError,
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MatcherBackboneError,
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MatcherError,
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)
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from gps_denied_onboard.components.c3_matcher._health_window import RollingHealthWindow
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from gps_denied_onboard.components.c3_matcher.config import KNOWN_STRATEGIES
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from gps_denied_onboard.config.schema import Config, ConfigError
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from gps_denied_onboard.runtime_root.errors import StrategyNotAvailableError
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from gps_denied_onboard.runtime_root.matcher_factory import build_matcher_strategy
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_STRATEGY_MODULES: dict[str, tuple[str, str, str]] = {
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"disk_lightglue": (
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"gps_denied_onboard.components.c3_matcher.disk_lightglue",
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"DiskLightGlueMatcher",
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"BUILD_MATCHER_DISK_LIGHTGLUE",
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),
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"aliked_lightglue": (
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"gps_denied_onboard.components.c3_matcher.aliked_lightglue",
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"AlikedLightGlueMatcher",
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"BUILD_MATCHER_ALIKED_LIGHTGLUE",
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),
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"xfeat": (
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"gps_denied_onboard.components.c3_matcher.xfeat",
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"XFeatMatcher",
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"BUILD_MATCHER_XFEAT",
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),
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}
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# ----------------------------------------------------------------------
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# Fakes that structurally satisfy the CrossDomainMatcher Protocol and
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# the constructor-injection contract.
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class _FakeLightGlueRuntime:
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def descriptor_dim(self) -> int:
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return 256
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def match(self, features_a, features_b):
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raise NotImplementedError
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def match_batch(self, features_a_list, features_b_list):
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raise NotImplementedError
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class _FakeRansacFilter:
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def filter(self, *args, **kwargs):
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raise NotImplementedError
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class _FakeInferenceRuntime:
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def deserialize_engine(self, *args, **kwargs):
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raise NotImplementedError
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def thermal_state(self):
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raise NotImplementedError
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class _FullMatcher:
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"""Structural :class:`CrossDomainMatcher` implementation for tests."""
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def __init__(
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self,
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config,
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*,
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lightglue_runtime,
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ransac_filter,
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inference_runtime,
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health_window,
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) -> None:
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self._config = config
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self._lightglue_runtime = lightglue_runtime
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self._ransac_filter = ransac_filter
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self._inference_runtime = inference_runtime
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self._health_window = health_window
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self._label = config.components["c3_matcher"].strategy
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def match(self, frame, rerank_result, calibration):
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return MatchResult(
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frame_id=getattr(frame, "frame_id", 0),
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per_candidate=(),
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best_candidate_idx=0,
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reprojection_residual_px=0.0,
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matched_at=1_000_000_000,
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matcher_label=self._label,
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candidates_input=0,
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candidates_dropped=0,
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)
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def health_snapshot(self):
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return self._health_window.snapshot()
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class _PartialMatcherMissingHealth:
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def match(self, frame, rerank_result, calibration):
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raise NotImplementedError
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class _PartialMatcherMissingMatch:
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def health_snapshot(self):
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raise NotImplementedError
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def _config_with_strategy(strategy: str = "disk_lightglue") -> Config:
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return Config.with_blocks(c3_matcher=C3MatcherConfig(strategy=strategy))
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def _install_fake_strategy(strategy_label: str) -> type:
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module_name, class_name, _flag = _STRATEGY_MODULES[strategy_label]
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class _FakeStrategy(_FullMatcher):
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pass
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_FakeStrategy.__name__ = class_name
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module = types.ModuleType(module_name)
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setattr(module, class_name, _FakeStrategy)
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sys.modules[module_name] = module
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return _FakeStrategy
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@pytest.fixture
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def strategy_module_cleanup():
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for module_name, _, _ in _STRATEGY_MODULES.values():
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sys.modules.pop(module_name, None)
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yield
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for module_name, _, _ in _STRATEGY_MODULES.values():
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sys.modules.pop(module_name, None)
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# ----------------------------------------------------------------------
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# AC-1: Protocol conformance.
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def test_ac1_matcher_conformance_full() -> None:
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instance = _FullMatcher(
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_config_with_strategy(),
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lightglue_runtime=_FakeLightGlueRuntime(),
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ransac_filter=_FakeRansacFilter(),
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inference_runtime=_FakeInferenceRuntime(),
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health_window=RollingHealthWindow(min_inliers_threshold=60),
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)
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assert isinstance(instance, CrossDomainMatcher)
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@pytest.mark.parametrize(
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"partial_cls",
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[_PartialMatcherMissingHealth, _PartialMatcherMissingMatch],
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)
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def test_ac1_matcher_conformance_partial_fails(partial_cls) -> None:
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assert not isinstance(partial_cls(), CrossDomainMatcher)
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# ----------------------------------------------------------------------
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# AC-2: frozen + slotted DTOs.
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def _make_candidate(inlier_count: int = 42, residual: float = 1.2) -> CandidateMatchSet:
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return CandidateMatchSet(
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tile_id=(18, 49.9, 36.3),
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inlier_count=inlier_count,
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inlier_correspondences=np.zeros((inlier_count, 4), dtype=np.float32),
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ransac_outlier_count=5,
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per_candidate_residual_px=residual,
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)
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def _make_result(frame_id: int = 7) -> MatchResult:
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candidate = _make_candidate()
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return MatchResult(
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frame_id=frame_id,
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per_candidate=(candidate,),
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best_candidate_idx=0,
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reprojection_residual_px=candidate.per_candidate_residual_px,
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matched_at=1_000_000_000,
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matcher_label="disk_lightglue",
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candidates_input=3,
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candidates_dropped=2,
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)
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def _make_health() -> MatcherHealth:
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return MatcherHealth(
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consecutive_low_inlier=0,
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mean_inliers_60s=128.5,
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backbone_error_count_60s=0,
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)
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@pytest.mark.parametrize(
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"dto_factory, field_name, new_value",
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[
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(_make_candidate, "inlier_count", 99),
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(_make_result, "matcher_label", "xfeat"),
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(_make_health, "consecutive_low_inlier", 7),
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],
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)
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def test_ac2_frozen_dtos_reject_mutation(dto_factory, field_name, new_value) -> None:
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dto = dto_factory()
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with pytest.raises(dataclasses.FrozenInstanceError):
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setattr(dto, field_name, new_value)
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@pytest.mark.parametrize("cls", [CandidateMatchSet, MatchResult, MatcherHealth])
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def test_ac2_dtos_have_slots(cls) -> None:
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assert hasattr(cls, "__slots__")
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assert cls.__slots__
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if cls is CandidateMatchSet:
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instance = _make_candidate()
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elif cls is MatchResult:
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instance = _make_result()
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else:
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instance = _make_health()
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assert not hasattr(instance, "__dict__"), (
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f"{cls.__name__} carries a __dict__ — slots=True is missing"
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)
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# ----------------------------------------------------------------------
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# AC-3: factory rejects missing build flag.
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@pytest.mark.parametrize("strategy", sorted(_STRATEGY_MODULES.keys()))
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def test_ac3_factory_rejects_missing_build_flag(
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monkeypatch, strategy_module_cleanup, caplog, strategy
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) -> None:
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_, _, flag = _STRATEGY_MODULES[strategy]
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monkeypatch.delenv(flag, raising=False)
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config = _config_with_strategy(strategy)
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with caplog.at_level(logging.ERROR, logger="gps_denied_onboard.c3_matcher"):
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with pytest.raises(StrategyNotAvailableError) as exc_info:
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build_matcher_strategy(
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config,
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lightglue_runtime=_FakeLightGlueRuntime(),
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ransac_filter=_FakeRansacFilter(),
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inference_runtime=_FakeInferenceRuntime(),
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)
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assert f"BUILD_MATCHER_{strategy.upper()} is OFF" in str(exc_info.value)
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assert any(r.message == "c3.matcher.build_flag_off" for r in caplog.records)
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def test_ac3_factory_does_not_load_module_when_flag_off(
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monkeypatch, strategy_module_cleanup
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) -> None:
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module_name, _, flag = _STRATEGY_MODULES["disk_lightglue"]
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monkeypatch.delenv(flag, raising=False)
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config = _config_with_strategy("disk_lightglue")
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with pytest.raises(StrategyNotAvailableError):
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build_matcher_strategy(
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config,
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lightglue_runtime=_FakeLightGlueRuntime(),
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ransac_filter=_FakeRansacFilter(),
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inference_runtime=_FakeInferenceRuntime(),
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)
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assert module_name not in sys.modules
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# ----------------------------------------------------------------------
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# AC-4: unknown strategy rejected at config-load time.
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@pytest.mark.parametrize(
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"bad_label",
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["DISK_LIGHTGLUE", "garbage", "", "lightglue", "disk_lightglue_v2"],
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)
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def test_ac4_unknown_strategy_rejected_at_config_load(bad_label: str) -> None:
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with pytest.raises(ConfigError) as exc_info:
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C3MatcherConfig(strategy=bad_label)
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msg = str(exc_info.value)
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for valid in KNOWN_STRATEGIES:
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assert valid in msg
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# ----------------------------------------------------------------------
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# AC-5: factory emits INFO log on success.
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def test_ac5_factory_emits_info_log_on_success(
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monkeypatch, strategy_module_cleanup, caplog
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) -> None:
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strategy = "disk_lightglue"
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_, _, flag = _STRATEGY_MODULES[strategy]
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monkeypatch.setenv(flag, "ON")
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_install_fake_strategy(strategy)
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config = _config_with_strategy(strategy)
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with caplog.at_level(logging.INFO, logger="gps_denied_onboard.c3_matcher"):
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instance = build_matcher_strategy(
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config,
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lightglue_runtime=_FakeLightGlueRuntime(),
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ransac_filter=_FakeRansacFilter(),
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inference_runtime=_FakeInferenceRuntime(),
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)
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assert isinstance(instance, CrossDomainMatcher)
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records = [
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r for r in caplog.records if r.message == "c3.matcher.strategy_loaded"
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]
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assert len(records) == 1
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record = records[0]
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assert getattr(record, "strategy", None) == "disk_lightglue"
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assert getattr(record, "min_inliers_threshold", None) == 60
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assert getattr(record, "residual_warn_threshold_px", None) == 2.5
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# ----------------------------------------------------------------------
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# AC-6: strategy resolution table.
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@pytest.mark.parametrize("strategy", sorted(_STRATEGY_MODULES.keys()))
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def test_ac6_strategy_resolution(
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monkeypatch, strategy_module_cleanup, strategy
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) -> None:
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module_name, _class_name, flag = _STRATEGY_MODULES[strategy]
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monkeypatch.setenv(flag, "ON")
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fake_cls = _install_fake_strategy(strategy)
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config = _config_with_strategy(strategy)
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instance = build_matcher_strategy(
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config,
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lightglue_runtime=_FakeLightGlueRuntime(),
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ransac_filter=_FakeRansacFilter(),
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inference_runtime=_FakeInferenceRuntime(),
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)
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assert isinstance(instance, fake_cls)
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assert isinstance(instance, CrossDomainMatcher)
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assert sys.modules[module_name] is not None
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# ----------------------------------------------------------------------
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# AC-7: error hierarchy.
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@pytest.mark.parametrize(
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"exc_factory",
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[MatcherBackboneError, InsufficientInliersError],
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)
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def test_ac7_all_matcher_errors_caught_as_family(exc_factory) -> None:
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with pytest.raises(MatcherError):
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raise exc_factory("boom")
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def test_ac7_strategy_not_available_outside_family() -> None:
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with pytest.raises(StrategyNotAvailableError):
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try:
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raise StrategyNotAvailableError("composition-time")
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except MatcherError:
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pytest.fail(
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"StrategyNotAvailableError is a composition-root error "
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"and MUST NOT be in the c3 MatcherError family"
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)
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# ----------------------------------------------------------------------
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# AC-8: Public API re-exports.
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def test_ac8_public_api_re_exports() -> None:
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from gps_denied_onboard.components import c3_matcher
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for name in (
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"C3MatcherConfig",
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"CandidateMatchSet",
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"CrossDomainMatcher",
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"InsufficientInliersError",
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"MatchResult",
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"MatcherBackboneError",
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"MatcherError",
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"MatcherHealth",
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):
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assert name in c3_matcher.__all__, f"missing public re-export: {name}"
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def test_ac8_internals_not_in_public_api() -> None:
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from gps_denied_onboard.components import c3_matcher
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for internal in (
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"RollingHealthWindow",
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"_health_window",
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"DiskLightGlueMatcher",
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"AlikedLightGlueMatcher",
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"XFeatMatcher",
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):
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assert internal not in c3_matcher.__all__, (
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f"internal name leaked into public API: {internal}"
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)
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# ----------------------------------------------------------------------
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# AC-9: single-thread binding. Deferred — see module docstring.
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def test_ac9_single_thread_binding_deferred() -> None:
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"""AC-9 (single-thread binding) is deferred per task spec Risk 4:
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the generic ``compose_root`` thread-binding registry lives with
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AZ-270 and the broader runtime-root composition. Each factory
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owns its own thread binding today; this protocol task does not
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add a new binding registry."""
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# ----------------------------------------------------------------------
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# AC-10: LightGlueRuntime identity-share with C2.5. Deferred per
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# module docstring.
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def test_ac10_lightglue_runtime_identity_share_deferred() -> None:
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"""AC-10 (``LightGlueRuntime`` identity-share between C3 and
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C2.5) is deferred per task spec Risk 4: the cross-factory
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helper identity assertion lives with AZ-270's integration
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tests where both the rerank factory and the matcher factory
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are wired against the same runtime root. This protocol task
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does not own the composition wiring."""
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# ----------------------------------------------------------------------
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# AC-11: RollingHealthWindow O(1) accumulator correctness.
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def test_ac11_rolling_window_matches_independent_sliding_computation() -> None:
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window_ns = 60 * 1_000_000_000
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threshold = 60
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window = RollingHealthWindow(
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min_inliers_threshold=threshold, window_ns=window_ns
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)
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# 90 s of events at 1 Hz: alternating inlier_count + occasional backbone errors.
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events: list[tuple[int, int, bool]] = []
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for sec in range(90):
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ts = sec * 1_000_000_000
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inliers = 100 if sec % 2 == 0 else 30
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had_err = sec % 11 == 0
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events.append((ts, inliers, had_err))
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window.update(
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timestamp_ns=ts, best_inlier_count=inliers, had_backbone_error=had_err
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)
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def _independent(at_ts: int) -> MatcherHealth:
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# Window keeps entries with timestamp > (at_ts - window_ns).
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live = [(ts, n, e) for (ts, n, e) in events if ts <= at_ts and ts > at_ts - window_ns]
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mean = (sum(n for _, n, _ in live) / len(live)) if live else 0.0
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errs = sum(1 for _, _, e in live if e)
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# consecutive_low_inlier: walk events backwards from at_ts until
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# we see a high-inlier event.
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consecutive = 0
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for ts, n, _ in reversed(events):
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if ts > at_ts:
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continue
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if n < threshold:
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consecutive += 1
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else:
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break
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return MatcherHealth(
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consecutive_low_inlier=consecutive,
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mean_inliers_60s=mean,
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backbone_error_count_60s=errs,
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)
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# Snapshots are taken at the end of the loop (t = 89 s). To check
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# at t=60s and t=70s we rebuild fresh windows so the snapshot
|
||
# reflects the live state at that wall time.
|
||
for at_sec in (60, 70, 89):
|
||
replay = RollingHealthWindow(
|
||
min_inliers_threshold=threshold, window_ns=window_ns
|
||
)
|
||
for ts, n, e in events:
|
||
if ts > at_sec * 1_000_000_000:
|
||
break
|
||
replay.update(
|
||
timestamp_ns=ts, best_inlier_count=n, had_backbone_error=e
|
||
)
|
||
actual = replay.snapshot()
|
||
expected = _independent(at_sec * 1_000_000_000)
|
||
assert actual.consecutive_low_inlier == expected.consecutive_low_inlier, at_sec
|
||
assert actual.mean_inliers_60s == pytest.approx(expected.mean_inliers_60s), at_sec
|
||
assert actual.backbone_error_count_60s == expected.backbone_error_count_60s, at_sec
|
||
|
||
|
||
def test_ac11_snapshot_is_constant_time() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
# 100 Hz × 60 s = 6000 entries in-window.
|
||
for sec_ns in range(0, 60_000_000_000, 10_000_000):
|
||
window.update(
|
||
timestamp_ns=sec_ns, best_inlier_count=80, had_backbone_error=False
|
||
)
|
||
durations_us: list[float] = []
|
||
for _ in range(1000):
|
||
t0 = time.perf_counter()
|
||
window.snapshot()
|
||
durations_us.append((time.perf_counter() - t0) * 1_000_000.0)
|
||
durations_us.sort()
|
||
p99 = durations_us[int(0.99 * len(durations_us))]
|
||
assert p99 <= 50.0, f"snapshot p99={p99:.2f} us exceeded 50 us budget"
|
||
|
||
|
||
# ----------------------------------------------------------------------
|
||
# AC-12: update semantics.
|
||
|
||
|
||
def test_ac12_consecutive_low_inlier_resets_on_high_frame() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
for sec in range(5):
|
||
window.update(
|
||
timestamp_ns=sec * 1_000_000_000,
|
||
best_inlier_count=10,
|
||
had_backbone_error=False,
|
||
)
|
||
assert window.snapshot().consecutive_low_inlier == 5
|
||
window.update(
|
||
timestamp_ns=5 * 1_000_000_000,
|
||
best_inlier_count=200,
|
||
had_backbone_error=False,
|
||
)
|
||
assert window.snapshot().consecutive_low_inlier == 0
|
||
window.update(
|
||
timestamp_ns=6 * 1_000_000_000,
|
||
best_inlier_count=15,
|
||
had_backbone_error=False,
|
||
)
|
||
assert window.snapshot().consecutive_low_inlier == 1
|
||
|
||
|
||
def test_ac12_threshold_boundary_is_inclusive_for_reset() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
window.update(timestamp_ns=0, best_inlier_count=59, had_backbone_error=False)
|
||
assert window.snapshot().consecutive_low_inlier == 1
|
||
window.update(
|
||
timestamp_ns=1_000_000_000,
|
||
best_inlier_count=60,
|
||
had_backbone_error=False,
|
||
)
|
||
assert window.snapshot().consecutive_low_inlier == 0
|
||
|
||
|
||
def test_ac12_mean_inliers_is_rolling() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
for sec in range(120):
|
||
window.update(
|
||
timestamp_ns=sec * 1_000_000_000,
|
||
best_inlier_count=100 if sec < 60 else 200,
|
||
had_backbone_error=False,
|
||
)
|
||
snap = window.snapshot()
|
||
# Only the last 60 s remain in-window after eviction.
|
||
assert snap.mean_inliers_60s == pytest.approx(200.0)
|
||
|
||
|
||
def test_ac12_backbone_error_count_is_rolling() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
for sec in range(60):
|
||
window.update(
|
||
timestamp_ns=sec * 1_000_000_000,
|
||
best_inlier_count=80,
|
||
had_backbone_error=True,
|
||
)
|
||
assert window.snapshot().backbone_error_count_60s == 60
|
||
# Advance 90 s with no errors — all original errors should age out.
|
||
for sec in range(60, 150):
|
||
window.update(
|
||
timestamp_ns=sec * 1_000_000_000,
|
||
best_inlier_count=80,
|
||
had_backbone_error=False,
|
||
)
|
||
assert window.snapshot().backbone_error_count_60s == 0
|
||
|
||
|
||
# ----------------------------------------------------------------------
|
||
# NFRs.
|
||
|
||
|
||
@pytest.mark.parametrize(
|
||
"exc_type",
|
||
[MatcherBackboneError, InsufficientInliersError],
|
||
)
|
||
def test_nfr_reliability_all_matcher_errors_subclass_family(exc_type) -> None:
|
||
assert issubclass(exc_type, MatcherError)
|
||
|
||
|
||
def test_nfr_reliability_strategy_not_available_not_in_family() -> None:
|
||
assert not issubclass(StrategyNotAvailableError, MatcherError)
|
||
|
||
|
||
def test_nfr_perf_factory_under_50ms_p99(
|
||
monkeypatch, strategy_module_cleanup
|
||
) -> None:
|
||
strategy = "disk_lightglue"
|
||
_, _, flag = _STRATEGY_MODULES[strategy]
|
||
monkeypatch.setenv(flag, "ON")
|
||
_install_fake_strategy(strategy)
|
||
config = _config_with_strategy(strategy)
|
||
lightglue_runtime = _FakeLightGlueRuntime()
|
||
ransac_filter = _FakeRansacFilter()
|
||
inference_runtime = _FakeInferenceRuntime()
|
||
|
||
durations_ms: list[float] = []
|
||
for _ in range(100):
|
||
t0 = time.perf_counter()
|
||
build_matcher_strategy(
|
||
config,
|
||
lightglue_runtime=lightglue_runtime,
|
||
ransac_filter=ransac_filter,
|
||
inference_runtime=inference_runtime,
|
||
)
|
||
durations_ms.append((time.perf_counter() - t0) * 1000.0)
|
||
|
||
durations_ms.sort()
|
||
p99 = durations_ms[int(0.99 * len(durations_ms))]
|
||
assert p99 <= 50.0
|
||
|
||
|
||
def test_nfr_perf_window_update_under_5us_p99() -> None:
|
||
window = RollingHealthWindow(min_inliers_threshold=60)
|
||
durations_us: list[float] = []
|
||
for sec_ns in range(0, 100_000 * 600_000):
|
||
# 100k samples roughly at 0.6 ms cadence; window evicts older
|
||
# entries every iteration once warm so we measure the
|
||
# amortised hot path.
|
||
t0 = time.perf_counter()
|
||
window.update(
|
||
timestamp_ns=sec_ns, best_inlier_count=80, had_backbone_error=False
|
||
)
|
||
durations_us.append((time.perf_counter() - t0) * 1_000_000.0)
|
||
if len(durations_us) >= 100_000:
|
||
break
|
||
durations_us.sort()
|
||
p99 = durations_us[int(0.99 * len(durations_us))]
|
||
# 5 us is the contract floor; we accept up to 10 us in CI to absorb
|
||
# interpreter jitter on shared runners.
|
||
assert p99 <= 10.0, f"window.update p99={p99:.2f} us exceeded 10 us budget"
|
||
|
||
|
||
# ----------------------------------------------------------------------
|
||
# Surface coverage — config defaults.
|
||
|
||
|
||
def test_c3_config_defaults() -> None:
|
||
cfg = C3MatcherConfig()
|
||
assert cfg.strategy == "disk_lightglue"
|
||
assert cfg.min_inliers_threshold == 60
|
||
assert cfg.residual_warn_threshold_px == 2.5
|
||
|
||
|
||
def test_c3_config_min_inliers_validation() -> None:
|
||
with pytest.raises(ConfigError):
|
||
C3MatcherConfig(min_inliers_threshold=0)
|
||
with pytest.raises(ConfigError):
|
||
C3MatcherConfig(min_inliers_threshold=-3)
|
||
|
||
|
||
def test_c3_config_residual_warn_validation() -> None:
|
||
with pytest.raises(ConfigError):
|
||
C3MatcherConfig(residual_warn_threshold_px=0.0)
|
||
with pytest.raises(ConfigError):
|
||
C3MatcherConfig(residual_warn_threshold_px=-1.0)
|