feat(detection-core): validate structural matches and matcher lineage

This commit is contained in:
Marius Ciepluch
2026-10-31 15:44:48 +01:00
parent 08b0eeaac2
commit 087dcc723f
3 changed files with 871 additions and 1 deletions
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@@ -132,7 +132,7 @@
- Reject label-derived semantic-fact ancestry, unknown scope/roles, missing review, and inconsistent digests.
- Done when the schema/scope/review matrix accepts only fully reviewed label-isolated packs.
- _Requirements: 11.1, 11.4, 13.3_
- [ ] 5.2 Validate complete structural observations and matcher lineage
- [x] 5.2 Validate complete structural observations and matcher lineage
- Match the declared requirement set, including qualified name, shape, receiver, target, argument, and configuration evidence as applicable.
- Resolve every observation artifact and require its identifier set to equal the fact’s complete structural requirements.
- Bind matcher revision, behavior digest, and current lineage to the exact evaluated product location.
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"""Exact structural fact-match evidence and matcher-lineage validation."""
from __future__ import annotations
import re
from collections.abc import Mapping, Sequence
from dataclasses import dataclass
from types import MappingProxyType
from openultrasast.core import canonical
from openultrasast.core.custody import (
LineagePurpose,
PopulationCustodyError,
PopulationCustodyPolicy,
PopulationCustodyPort,
PopulationUseReceipt,
validate_population_custody_log,
)
from openultrasast.core.factpack import (
FactPack,
ReviewIndependencePolicy,
SemanticFact,
StructuralRequirementKind,
derive_fact_pack_content_digest,
derive_review_independence_policy_digest,
)
from openultrasast.core.lineage import LineageExpectation, LineageManifest, LineageValidationError, validate_lineage
from openultrasast.core.semantics import RelationStatus, SourceLocation
STRUCTURAL_OBSERVATION_SCHEMA = "openultrasast.detection-core.structural-observation.v2"
FACT_MATCH_SCHEMA = "openultrasast.detection-core.fact-match.v2"
_DIGEST = re.compile(r"[0-9a-f]{64}")
class FactMatchValidationError(ValueError):
"""A fact match identity, artifact, or lineage join cannot be reproduced."""
def _require_text(value: object, field: str) -> None:
if not isinstance(value, str) or not value:
raise FactMatchValidationError(f"{field} must be nonempty text")
def _require_digest(value: object, field: str) -> None:
if not isinstance(value, str) or _DIGEST.fullmatch(value) is None:
raise FactMatchValidationError(f"{field} must be a full lowercase SHA-256 digest")
def _freeze_json(value: canonical.JsonValue) -> canonical.JsonValue:
if isinstance(value, Mapping):
return MappingProxyType({key: _freeze_json(item) for key, item in value.items()})
if isinstance(value, tuple):
return tuple(_freeze_json(item) for item in value)
return value
def _location_value(location: SourceLocation) -> Mapping[str, canonical.JsonValue]:
return {"path": location.path, "line": location.line, "column": location.column, "symbol": location.symbol}
def _reference_value(reference: canonical.ContentRef) -> Mapping[str, canonical.JsonValue]:
return {
"artifact_id": reference.artifact_id,
"content_digest": reference.content_digest,
"media_type": reference.media_type,
"byte_length": reference.byte_length,
"retention_policy_digest": reference.retention_policy_digest,
"storage_receipt_digest": reference.storage_receipt_digest,
}
@dataclass(frozen=True)
class StructuralObservation:
requirement_id: str
location: SourceLocation
observed: canonical.JsonValue
evidence: canonical.ContentRef
def __post_init__(self) -> None:
_require_text(self.requirement_id, "requirement_id")
if not isinstance(self.location, SourceLocation):
raise FactMatchValidationError("observation location must be a SourceLocation")
self.location.__post_init__()
frozen = _freeze_json(self.observed)
canonical.canonical_bytes(frozen)
object.__setattr__(self, "observed", frozen)
if not isinstance(self.evidence, canonical.ContentRef):
raise FactMatchValidationError("observation evidence must be a ContentRef")
def _observation_payload(observation: StructuralObservation) -> Mapping[str, canonical.JsonValue]:
return {
"schema_version": STRUCTURAL_OBSERVATION_SCHEMA,
"requirement_id": observation.requirement_id,
"location": _location_value(observation.location),
"observed": observation.observed,
}
def structural_observation_bytes(observation: StructuralObservation) -> bytes:
"""Canonical bytes that an observation ContentRef must resolve."""
if not isinstance(observation, StructuralObservation):
raise TypeError("observation must be a StructuralObservation")
return canonical.canonical_record_bytes(
_observation_payload(observation),
known_schema_versions=(STRUCTURAL_OBSERVATION_SCHEMA,),
)
def _match_observation_value(observation: StructuralObservation) -> Mapping[str, canonical.JsonValue]:
return {
"requirement_id": observation.requirement_id,
"location": _location_value(observation.location),
"observed": observation.observed,
"evidence": _reference_value(observation.evidence),
}
@dataclass(frozen=True)
class FactMatchEvidence:
pack_digest: str
fact_id: str
product_location: SourceLocation
observations: tuple[StructuralObservation, ...]
matcher_revision: str
matcher_behavior_digest: str
matcher_lineage_manifest_digest: str
match_digest: str
def __post_init__(self) -> None:
_require_digest(self.pack_digest, "pack_digest")
_require_text(self.fact_id, "fact_id")
if not isinstance(self.product_location, SourceLocation):
raise FactMatchValidationError("product_location must be a SourceLocation")
self.product_location.__post_init__()
if not isinstance(self.observations, tuple) or not all(isinstance(item, StructuralObservation) for item in self.observations):
raise FactMatchValidationError("observations must be a tuple of StructuralObservation values")
_require_text(self.matcher_revision, "matcher_revision")
_require_digest(self.matcher_behavior_digest, "matcher_behavior_digest")
_require_digest(self.matcher_lineage_manifest_digest, "matcher_lineage_manifest_digest")
_require_digest(self.match_digest, "match_digest")
def _match_value(match: FactMatchEvidence) -> Mapping[str, canonical.JsonValue]:
return {
"schema_version": FACT_MATCH_SCHEMA,
"pack_digest": match.pack_digest,
"fact_id": match.fact_id,
"product_location": _location_value(match.product_location),
"observations": tuple(_match_observation_value(item) for item in match.observations),
"matcher_revision": match.matcher_revision,
"matcher_behavior_digest": match.matcher_behavior_digest,
"matcher_lineage_manifest_digest": match.matcher_lineage_manifest_digest,
}
def derive_fact_match_digest(match: FactMatchEvidence) -> str:
if not isinstance(match, FactMatchEvidence):
raise TypeError("match must be FactMatchEvidence")
return canonical.content_digest(_match_value(match))
@dataclass(frozen=True)
class FactMatchDecision:
status: RelationStatus
reasons: tuple[str, ...]
effect_eligible: bool
lineage_decision_digest: str
def __post_init__(self) -> None:
if not isinstance(self.status, RelationStatus):
raise FactMatchValidationError("status must be a RelationStatus")
if not isinstance(self.reasons, tuple) or not all(isinstance(item, str) and item for item in self.reasons):
raise FactMatchValidationError("reasons must be a tuple of nonempty text")
if self.reasons != tuple(sorted(set(self.reasons))):
raise FactMatchValidationError("reasons must be sorted and unique")
if not isinstance(self.effect_eligible, bool):
raise FactMatchValidationError("effect_eligible must be boolean")
if self.effect_eligible is not (self.status is RelationStatus.COMPLETE):
raise FactMatchValidationError("only COMPLETE decisions may be effect eligible")
_require_digest(self.lineage_decision_digest, "lineage_decision_digest")
def _fact_for(pack: FactPack, fact_id: str) -> SemanticFact:
matches = tuple(fact for fact in pack.facts if fact.fact_id == fact_id)
if len(matches) != 1:
raise FactMatchValidationError("fact identity is missing or ambiguous in pack")
return matches[0]
def _validate_named_inputs(
pack: FactPack,
fact_id: str,
match: FactMatchEvidence,
review_policy: ReviewIndependencePolicy,
) -> SemanticFact:
if pack.normalized_content_digest != derive_fact_pack_content_digest(pack):
raise FactMatchValidationError("pack digest cannot be re-derived")
if match.pack_digest != pack.normalized_content_digest:
raise FactMatchValidationError("match pack digest does not name supplied pack")
if match.fact_id != fact_id:
raise FactMatchValidationError("match fact identity does not name requested fact")
fact = _fact_for(pack, fact_id)
if match.match_digest != derive_fact_match_digest(match):
raise FactMatchValidationError("match digest cannot be re-derived")
expected_policy = derive_review_independence_policy_digest(
review_policy.reviewed_reviewer_digests,
review_policy.forbidden_identity_pairs,
review_policy.trusted_store_identities,
review_policy.maximum_evidence_bytes,
)
if review_policy.policy_digest != expected_policy or pack.review_policy_digest != expected_policy:
raise FactMatchValidationError("review policy identity cannot be re-derived from named inputs")
return fact
def _resolve_observations(
match: FactMatchEvidence,
review_policy: ReviewIndependencePolicy,
resolver: canonical.ContentResolver,
) -> None:
for observation in match.observations:
observation.__post_init__()
observation.evidence.__post_init__()
try:
resolved = canonical.resolve_content(
observation.evidence,
resolver,
trusted_store_identities=review_policy.trusted_store_identities,
maximum_bytes=review_policy.maximum_evidence_bytes,
)
except (canonical.ArtifactResolutionError, canonical.ArtifactValidationError) as exc:
raise FactMatchValidationError(f"observation artifact cannot be validated: {exc}") from exc
if resolved != structural_observation_bytes(observation):
raise FactMatchValidationError("resolved bytes do not equal canonical observation payload")
def _conflicting(items: tuple[StructuralObservation, ...]) -> bool:
values = {
canonical.content_digest(
{
"location": _location_value(item.location),
"observed": item.observed,
"evidence": _reference_value(item.evidence),
}
)
for item in items
}
return len(values) > 1
def _unresolved_reasons(fact: SemanticFact, match: FactMatchEvidence) -> list[str]:
expected_ids = {item.requirement_id for item in fact.structural_requirements}
grouped: dict[str, list[StructuralObservation]] = {}
reasons: list[str] = []
for observation in match.observations:
grouped.setdefault(observation.requirement_id, []).append(observation)
if observation.requirement_id not in expected_ids:
reasons.append(f"fabricated_observation:{observation.requirement_id}")
if observation.location != match.product_location:
reasons.append(f"ambiguous_product_location:{observation.requirement_id}")
for requirement_id, items in grouped.items():
if len(items) > 1:
reasons.extend(("ambiguous_match", f"duplicate_observation:{requirement_id}"))
if _conflicting(tuple(items)):
reasons.append(f"conflicting_observation:{requirement_id}")
return reasons
def _incomplete_reasons(fact: SemanticFact, match: FactMatchEvidence) -> list[str]:
indexed = {item.requirement_id: item for item in match.observations}
reasons: list[str] = []
present_kinds: set[StructuralRequirementKind] = set()
for requirement in fact.structural_requirements:
observation = indexed.get(requirement.requirement_id)
if observation is None:
reasons.append(f"missing_observation:{requirement.requirement_id}")
continue
present_kinds.add(requirement.kind)
if canonical.canonical_bytes(observation.observed) != canonical.canonical_bytes(requirement.expected):
reasons.append(f"predicate_mismatch:{requirement.requirement_id}")
if present_kinds == {StructuralRequirementKind.QUALIFIED_NAME}:
reasons.append("name_only_match")
return reasons
def _lineage_for(match: FactMatchEvidence, lineages: Sequence[LineageManifest]) -> LineageManifest:
if not isinstance(lineages, Sequence) or not all(isinstance(item, LineageManifest) for item in lineages):
raise FactMatchValidationError("lineages must be a sequence of LineageManifest values")
matches = tuple(item for item in lineages if item.manifest_digest == match.matcher_lineage_manifest_digest)
if len(matches) != 1:
raise FactMatchValidationError("matcher lineage manifest is missing or ambiguous")
return matches[0]
def _authoritative_matching_receipts(
lineage: LineageManifest,
match: FactMatchEvidence,
protected_population_digest: str,
custody: PopulationCustodyPort,
custody_policy: PopulationCustodyPolicy,
) -> tuple[PopulationUseReceipt, ...]:
populations = {protected_population_digest, *(use.source_population_digest for use in lineage.uses)}
relevant: list[PopulationUseReceipt] = []
for population_digest in sorted(populations):
log = custody.current_log(population_digest)
validate_population_custody_log(log, custody_policy, current=custody)
for receipt in log.receipts:
request = receipt.request
if (
request.arm_id == lineage.arm_id
and request.purpose is LineagePurpose.MATCHING_BEHAVIOR
and request.influenced_artifact_digest == match.matcher_behavior_digest
):
relevant.append(receipt)
return tuple(relevant)
def _omitted_matching_reasons(
lineage: LineageManifest,
current_receipts: tuple[PopulationUseReceipt, ...],
protected_population_digest: str,
) -> tuple[str, ...]:
declared = {use.population_use_receipt_digest for use in lineage.uses}
reasons: list[str] = []
for receipt in current_receipts:
if receipt.receipt_digest in declared:
continue
reasons.append(f"omitted_current_matching_use:{receipt.receipt_digest}")
if receipt.request.labels_accessed:
reasons.append(f"label_access_forbidden:{receipt.population_digest}")
if receipt.population_digest == protected_population_digest:
reasons.append(f"protected_population_labels:{receipt.population_digest}")
return tuple(sorted(set(reasons)))
def _validate_matcher_lineage(
match: FactMatchEvidence,
protected_population_digest: str,
lineages: Sequence[LineageManifest],
custody: PopulationCustodyPort,
custody_policy: PopulationCustodyPolicy,
) -> tuple[tuple[str, ...], str]:
lineage = _lineage_for(match, lineages)
expectation = LineageExpectation(LineagePurpose.MATCHING_BEHAVIOR, match.matcher_behavior_digest, 1, 1)
try:
decision = validate_lineage(
lineage,
match.matcher_behavior_digest,
(expectation,),
protected_population_digest,
True,
custody,
custody_policy,
)
current_receipts = _authoritative_matching_receipts(
lineage,
match,
protected_population_digest,
custody,
custody_policy,
)
except (LineageValidationError, PopulationCustodyError, canonical.DigestFormatError) as exc:
raise FactMatchValidationError(f"matcher lineage contract is invalid: {exc}") from exc
omitted = _omitted_matching_reasons(lineage, current_receipts, protected_population_digest)
return tuple(sorted(set((*decision.reasons, *omitted)))), decision.decision_digest
def _decision(
unresolved: Sequence[str],
incomplete: Sequence[str],
lineage_digest: str,
) -> FactMatchDecision:
if unresolved:
status = RelationStatus.UNRESOLVED
reasons = tuple(sorted(set(unresolved)))
elif incomplete:
status = RelationStatus.INCOMPLETE
reasons = tuple(sorted(set(incomplete)))
else:
status = RelationStatus.COMPLETE
reasons = ()
return FactMatchDecision(status, reasons, status is RelationStatus.COMPLETE, lineage_digest)
def validate_fact_match(
pack: FactPack,
fact_id: str,
match: FactMatchEvidence,
protected_population_digest: str,
lineages: Sequence[LineageManifest],
custody: PopulationCustodyPort,
custody_policy: PopulationCustodyPolicy,
review_policy: ReviewIndependencePolicy,
resolver: canonical.ContentResolver,
) -> FactMatchDecision:
"""Resolve one complete fact match and make downstream effect eligibility explicit."""
if not isinstance(pack, FactPack) or not isinstance(match, FactMatchEvidence):
raise FactMatchValidationError("pack and match must use v2 contract types")
if not isinstance(review_policy, ReviewIndependencePolicy):
raise FactMatchValidationError("review_policy must use the v2 contract type")
match.__post_init__()
review_policy.__post_init__()
fact = _validate_named_inputs(pack, fact_id, match, review_policy)
_resolve_observations(match, review_policy, resolver)
unresolved = _unresolved_reasons(fact, match)
incomplete = _incomplete_reasons(fact, match)
lineage_reasons, lineage_digest = _validate_matcher_lineage(
match,
protected_population_digest,
lineages,
custody,
custody_policy,
)
return _decision((*unresolved, *lineage_reasons), incomplete, lineage_digest)
__all__ = [
"FACT_MATCH_SCHEMA",
"STRUCTURAL_OBSERVATION_SCHEMA",
"FactMatchDecision",
"FactMatchEvidence",
"FactMatchValidationError",
"StructuralObservation",
"derive_fact_match_digest",
"structural_observation_bytes",
"validate_fact_match",
]
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"""Structural fact-match validation and matcher-lineage contracts."""
from __future__ import annotations
from dataclasses import dataclass, replace
import pytest
from detection_core_fixtures import InMemoryContentResolver, InMemoryPopulationCustody, custody_contract, stored_artifact
from openultrasast.core import canonical, provenance
from openultrasast.core.factmatch import (
FACT_MATCH_SCHEMA,
STRUCTURAL_OBSERVATION_SCHEMA,
FactMatchDecision,
FactMatchEvidence,
FactMatchValidationError,
StructuralObservation,
derive_fact_match_digest,
structural_observation_bytes,
validate_fact_match,
)
from openultrasast.core.factpack import (
FACT_PACK_SCHEMA,
FactPack,
RelationEffect,
ReviewIndependencePolicy,
SemanticFact,
StructuralRequirement,
StructuralRequirementKind,
derive_fact_pack_content_digest,
derive_review_independence_policy_digest,
)
from openultrasast.core.semantics import RelationKind, RelationStatus, SourceLocation
@dataclass(frozen=True)
class MatchCase:
pack: FactPack
match: FactMatchEvidence
resolver: InMemoryContentResolver
lineage: provenance.LineageManifest
custody: InMemoryPopulationCustody
custody_policy: provenance.PopulationCustodyPolicy
review_policy: ReviewIndependencePolicy
protected_population: str
def _requirements() -> tuple[StructuralRequirement, ...]:
return (
StructuralRequirement("qualified", StructuralRequirementKind.QUALIFIED_NAME, "callee", "pkg.Client.call"),
StructuralRequirement("shape", StructuralRequirementKind.AST_SHAPE, "shape", {"node": "call"}),
StructuralRequirement("receiver", StructuralRequirementKind.RECEIVER_TYPE, "receiver", "pkg.Client"),
StructuralRequirement("target", StructuralRequirementKind.CALL_TARGET, "target", "pkg.Client.call"),
StructuralRequirement("arguments", StructuralRequirementKind.ARGUMENT_SHAPE, "arguments", ("resource",)),
StructuralRequirement("configuration", StructuralRequirementKind.CONFIGURATION, "config", {"mode": "strict"}),
)
def _pack(requirements: tuple[StructuralRequirement, ...] | None = None) -> FactPack:
policy = _review_policy()
fact = SemanticFact(
"stable.fact.v1",
"flow",
requirements or _requirements(),
(RelationEffect(RelationKind.CALL, "flow", "source", "target", ("matched",)),),
)
provisional = FactPack(
FACT_PACK_SCHEMA,
canonical.content_digest("family-contract"),
"reference-family",
"python",
"python",
(fact,),
"0" * 64,
canonical.content_digest("reviewer"),
(),
canonical.content_digest(()),
policy.policy_digest,
)
return replace(provisional, normalized_content_digest=derive_fact_pack_content_digest(provisional))
def _review_policy() -> ReviewIndependencePolicy:
reviewers = (canonical.content_digest("reviewer"),)
stores = ("trusted-store",)
digest = derive_review_independence_policy_digest(reviewers, (), stores, 4096)
return ReviewIndependencePolicy(reviewers, (), stores, 4096, digest)
def _matcher_lineage(
behavior: str,
*,
labels_accessed: bool = False,
purpose: provenance.LineagePurpose = provenance.LineagePurpose.MATCHING_BEHAVIOR,
) -> tuple[provenance.LineageManifest, InMemoryPopulationCustody, provenance.PopulationCustodyPolicy, str]:
initial, policy, custodian = custody_contract()
custody = InMemoryPopulationCustody(initial, policy)
request = provenance.PopulationUseRequest(
initial.population_digest,
"matcher-arm",
purpose,
labels_accessed,
behavior,
initial.log_digest,
)
receipt = custody.append(request, custodian)
use = provenance.LineageUse(
request.purpose,
request.population_digest,
labels_accessed,
behavior,
receipt.receipt_digest,
)
manifest_digest = provenance.derive_lineage_manifest_digest("matcher-arm", behavior, (use,))
return provenance.LineageManifest("matcher-arm", behavior, (use,), manifest_digest), custody, policy, initial.population_digest
def _observation(
requirement: StructuralRequirement,
location: SourceLocation,
*,
observed: canonical.JsonValue | None = None,
suffix: str = "",
) -> tuple[StructuralObservation, InMemoryContentResolver]:
value = requirement.expected if observed is None else observed
provisional_reference = canonical.ContentRef("provisional", "0" * 64, "application/json", 0, "0" * 64, "0" * 64)
provisional = StructuralObservation(requirement.requirement_id, location, value, provisional_reference)
reference, resolver = stored_artifact(
structural_observation_bytes(provisional),
artifact_id=f"observation-{requirement.requirement_id}{suffix}",
)
return replace(provisional, evidence=reference), resolver
def _case(*, labels_accessed: bool = False) -> MatchCase:
pack = _pack()
location = SourceLocation("src/product.py", 17, 8, "run")
artifacts: dict[str, canonical.ResolvedContent] = {}
observations: list[StructuralObservation] = []
for requirement in pack.facts[0].structural_requirements:
observation, resolver = _observation(requirement, location)
observations.append(observation)
artifacts.update(resolver.artifacts)
behavior = canonical.content_digest("matcher-behavior-v3")
lineage, custody, custody_policy, protected = _matcher_lineage(behavior, labels_accessed=labels_accessed)
provisional = FactMatchEvidence(
pack.normalized_content_digest,
pack.facts[0].fact_id,
location,
tuple(observations),
"matcher-v3",
behavior,
lineage.manifest_digest,
"0" * 64,
)
match = replace(provisional, match_digest=derive_fact_match_digest(provisional))
return MatchCase(
pack,
match,
InMemoryContentResolver(artifacts),
lineage,
custody,
custody_policy,
_review_policy(),
protected,
)
def _redigest(match: FactMatchEvidence) -> FactMatchEvidence:
return replace(match, match_digest=derive_fact_match_digest(match))
def _validate(case: MatchCase, match: FactMatchEvidence | None = None) -> FactMatchDecision:
return validate_fact_match(
case.pack,
case.pack.facts[0].fact_id,
match or case.match,
case.protected_population,
(case.lineage,),
case.custody,
case.custody_policy,
case.review_policy,
case.resolver,
)
def test_complete_match_requires_all_six_typed_observations_and_current_lineage() -> None:
case = _case()
decision = _validate(case)
assert {item.kind for item in case.pack.facts[0].structural_requirements} == set(StructuralRequirementKind)
assert decision.status is RelationStatus.COMPLETE
assert decision.reasons == ()
assert decision.effect_eligible
assert decision.lineage_decision_digest is not None
assert FACT_MATCH_SCHEMA.endswith(".v2") and STRUCTURAL_OBSERVATION_SCHEMA.endswith(".v2")
@pytest.mark.parametrize("missing", [item.requirement_id for item in _requirements()])
def test_missing_structural_observation_is_named_incomplete(missing: str) -> None:
case = _case()
observations = tuple(item for item in case.match.observations if item.requirement_id != missing)
match = _redigest(replace(case.match, observations=observations))
decision = _validate(case, match)
assert decision.status is RelationStatus.INCOMPLETE
assert f"missing_observation:{missing}" in decision.reasons
assert not decision.effect_eligible
def test_name_only_match_can_never_be_complete() -> None:
requirement = _requirements()[0]
pack = _pack((requirement,))
case = _case()
match = _redigest(
replace(
case.match,
pack_digest=pack.normalized_content_digest,
observations=(case.match.observations[0],),
)
)
case = replace(case, pack=pack)
decision = _validate(case, match)
assert decision.status is RelationStatus.INCOMPLETE
assert decision.reasons == ("name_only_match",)
assert not decision.effect_eligible
def test_typed_predicate_mismatch_is_incomplete() -> None:
case = _case()
requirement = case.pack.facts[0].structural_requirements[2]
observation, resolver = _observation(requirement, case.match.product_location, observed="pkg.Other", suffix="-wrong")
observations = tuple(observation if item.requirement_id == requirement.requirement_id else item for item in case.match.observations)
match = _redigest(replace(case.match, observations=observations))
case = replace(case, resolver=InMemoryContentResolver({**case.resolver.artifacts, **resolver.artifacts}))
decision = _validate(case, match)
assert decision.status is RelationStatus.INCOMPLETE
assert decision.reasons == ("predicate_mismatch:receiver",)
@pytest.mark.parametrize("mode", ("duplicate", "conflict", "fabricated"))
def test_ambiguous_or_fabricated_identifier_sets_are_unresolved(mode: str) -> None:
case = _case()
observations = case.match.observations
resolver = case.resolver
if mode == "duplicate":
observations += (observations[0],)
elif mode == "conflict":
requirement = case.pack.facts[0].structural_requirements[0]
extra, extra_resolver = _observation(requirement, case.match.product_location, observed="pkg.Other", suffix="-conflict")
observations += (extra,)
resolver = InMemoryContentResolver({**resolver.artifacts, **extra_resolver.artifacts})
else:
fabricated = replace(observations[0], requirement_id="invented")
reference, extra_resolver = stored_artifact(
structural_observation_bytes(fabricated),
artifact_id="observation-invented",
)
observations += (replace(fabricated, evidence=reference),)
resolver = InMemoryContentResolver({**resolver.artifacts, **extra_resolver.artifacts})
match = _redigest(replace(case.match, observations=observations))
decision = _validate(replace(case, resolver=resolver), match)
assert decision.status is RelationStatus.UNRESOLVED
assert not decision.effect_eligible
assert any(mode in reason or "ambiguous" in reason for reason in decision.reasons)
def test_observation_from_another_product_location_is_unresolved() -> None:
case = _case()
requirement = case.pack.facts[0].structural_requirements[1]
other = SourceLocation("src/other.py", 4, 0, None)
observation, resolver = _observation(requirement, other, suffix="-other-location")
observations = tuple(observation if item.requirement_id == requirement.requirement_id else item for item in case.match.observations)
match = _redigest(replace(case.match, observations=observations))
case = replace(case, resolver=InMemoryContentResolver({**case.resolver.artifacts, **resolver.artifacts}))
decision = _validate(case, match)
assert decision.status is RelationStatus.UNRESOLVED
assert decision.reasons == ("ambiguous_product_location:shape",)
def test_every_observation_artifact_must_resolve_to_its_exact_canonical_payload() -> None:
case = _case()
observation = case.match.observations[0]
wrong_reference, resolver = stored_artifact(b'{"plausible":"but-wrong"}', artifact_id="wrong-payload")
observations = (replace(observation, evidence=wrong_reference),) + case.match.observations[1:]
match = _redigest(replace(case.match, observations=observations))
case = replace(case, resolver=InMemoryContentResolver({**case.resolver.artifacts, **resolver.artifacts}))
with pytest.raises(FactMatchValidationError, match="canonical observation payload"):
_validate(case, match)
@pytest.mark.parametrize(
("field", "value", "message"),
(
("pack_digest", "f" * 64, "pack digest"),
("fact_id", "other.fact", "fact identity"),
("match_digest", "f" * 64, "match digest"),
),
)
def test_tampered_named_match_identities_are_refused(field: str, value: str, message: str) -> None:
case = _case()
if field == "pack_digest":
match = replace(case.match, pack_digest=value)
elif field == "fact_id":
match = replace(case.match, fact_id=value)
else:
match = replace(case.match, match_digest=value)
with pytest.raises(FactMatchValidationError, match=message):
_validate(case, match)
def test_match_digest_binds_revision_behavior_lineage_location_and_observations() -> None:
case = _case()
original = case.match.match_digest
variants = (
replace(case.match, matcher_revision="matcher-v4"),
replace(case.match, matcher_behavior_digest=canonical.content_digest("other-behavior")),
replace(case.match, matcher_lineage_manifest_digest="f" * 64),
replace(case.match, product_location=SourceLocation("src/product.py", 18, 8, "run")),
replace(case.match, observations=case.match.observations[:-1]),
)
assert all(derive_fact_match_digest(item) != original for item in variants)
def test_matcher_lineage_must_resolve_exact_behavior_and_current_receipt() -> None:
case = _case()
with pytest.raises(FactMatchValidationError, match="lineage manifest"):
validate_fact_match(
case.pack,
case.pack.facts[0].fact_id,
case.match,
case.protected_population,
(),
case.custody,
case.custody_policy,
case.review_policy,
case.resolver,
)
def test_matcher_lineage_requires_exact_matching_behavior_use() -> None:
case = _case()
lineage, custody, policy, protected = _matcher_lineage(
case.match.matcher_behavior_digest,
purpose=provenance.LineagePurpose.PROMPT,
)
match = _redigest(replace(case.match, matcher_lineage_manifest_digest=lineage.manifest_digest))
case = replace(case, match=match, lineage=lineage, custody=custody, custody_policy=policy, protected_population=protected)
decision = _validate(case)
assert decision.status is RelationStatus.UNRESOLVED
assert any(reason.startswith("missing_required_use:matching_behavior:") for reason in decision.reasons)
assert any(reason.startswith("unexpected_use:prompt:") for reason in decision.reasons)
def test_matcher_behavior_subject_substitution_is_refused() -> None:
case = _case()
match = _redigest(replace(case.match, matcher_behavior_digest=canonical.content_digest("substituted-behavior")))
with pytest.raises(FactMatchValidationError, match="lineage contract"):
_validate(case, match)
def test_lineage_receipt_must_remain_in_current_complete_custody_chain() -> None:
case = _case()
empty, policy, _ = custody_contract()
empty_custody = InMemoryPopulationCustody(empty, policy)
with pytest.raises(FactMatchValidationError, match="current complete custody chain"):
_validate(replace(case, custody=empty_custody, custody_policy=policy))
def _append_current_matching_use(case: MatchCase, *, labels_accessed: bool) -> provenance.PopulationUseReceipt:
current = case.custody.current_log(case.protected_population)
request = provenance.PopulationUseRequest(
case.protected_population,
case.lineage.arm_id,
provenance.LineagePurpose.MATCHING_BEHAVIOR,
labels_accessed,
case.match.matcher_behavior_digest,
current.log_digest,
)
return case.custody.append(request, current.custodian_identity)
def test_omitted_later_protected_label_use_refuses_clean_match_manifest() -> None:
case = _case()
omitted = _append_current_matching_use(case, labels_accessed=True)
decision = _validate(case)
assert decision.status is RelationStatus.UNRESOLVED
assert not decision.effect_eligible
assert f"omitted_current_matching_use:{omitted.receipt_digest}" in decision.reasons
assert f"protected_population_labels:{case.protected_population}" in decision.reasons
def test_omitted_later_benign_matching_use_makes_manifest_incomplete() -> None:
case = _case()
omitted = _append_current_matching_use(case, labels_accessed=False)
decision = _validate(case)
assert decision.status is RelationStatus.UNRESOLVED
assert not decision.effect_eligible
assert decision.reasons == (f"omitted_current_matching_use:{omitted.receipt_digest}",)
def test_protected_population_label_influence_refuses_effect_eligibility() -> None:
case = _case(labels_accessed=True)
decision = _validate(case)
assert decision.status is RelationStatus.UNRESOLVED
assert not decision.effect_eligible
assert any(reason.startswith("protected_population_labels:") for reason in decision.reasons)
assert any(reason.startswith("label_access_forbidden:") for reason in decision.reasons)
def test_structural_observations_deep_freeze_canonical_values() -> None:
nested_shape: dict[str, canonical.JsonValue] = {"kind": "call"}
nested: dict[str, canonical.JsonValue] = {"shape": nested_shape}
reference, _ = stored_artifact(b"{}")
observation = StructuralObservation("shape", SourceLocation("a.py", 1, None, None), nested, reference)
nested_shape["kind"] = "changed"
assert observation.observed == {"shape": {"kind": "call"}}