core/core_ingest/compiler.py
Shay bb637ad3e1 feat(core_ingest): IngestPipeline, manifold integration, full test suite
- Add core_ingest/pipeline.py: IngestPipeline wires StructuralSegmenter →
  CandidateGeometricPressure construction → IngestCompiler → SegmentManifold
  in a single deterministic call. Accepts raw bytes + modality hint, returns
  (ValidationReport, list[LearningArtifact]) and auto-registers accepted
  packets into the manifold.

- Update core_ingest/compiler.py: compile() accepts an optional
  manifold: SegmentManifold | None = None parameter; when provided,
  accepted packets are registered automatically — callers no longer need
  a manual register() call.

- Update core_ingest/__init__.py: expose IngestPipeline, Segment,
  GateDisposition, ManifoldEntry in public __all__.

- Add tests/test_segmenter.py: prose, scripture, code, math segmenters;
  heading detection; empty-block filtering; D0 invariant on SourceSpan.

- Add tests/test_compiler.py: structural dedup by pressure_id; semantic
  convergence warning; ProvenanceGate / SemanticGate / GovernanceGate
  rejection paths; ReviewDecision override; acceptance_rate property.

- Add tests/test_manifold.py: register → lookup → spans_for round-trip;
  multi-key isolation; __len__ and __contains__; append-only semantics.

- Add tests/test_pipeline.py: end-to-end prose ingest; scripture ingest;
  manifold reconstruction lookup after pipeline run; empty-source guard."
2026-05-13 12:07:12 -07:00

323 lines
12 KiB
Python

"""
IngestCompiler — deterministic three-gate validation pipeline.
Gate order (sequential; a packet failing any gate does not proceed):
1. ProvenanceGate — SourceSpan integrity: non-empty text, valid SHA-256,
byte offsets non-negative and ordered
2. SemanticGate — span completeness: non-empty payload, balanced
delimiters (for code/math), minimum length
3. GovernanceGate — ReviewLevel vs DeterminismClass consistency;
ReviewDecision override check
The compiler:
- performs structural deduplication by pressure_id (exact structural identity)
- tracks semantic convergence by semantic_key and annotates packets that
assert the same claim as prior packets with a warning
- applies ReviewDecision overrides without mutating the original packet
- produces a ValidationReport alongside the original immutable packets
- exports accepted packets as LearningArtifact objects
- optionally registers accepted packets into a SegmentManifold when one
is provided (eliminates the need for a manual manifold.register() call)
Ingest/gate.py is NOT imported or called here.
"""
from __future__ import annotations
from collections import defaultdict
from typing import TYPE_CHECKING, Sequence
from core_ingest.types import (
CandidateGeometricPressure,
DeterminismClass,
GateDisposition,
LearningArtifact,
ReviewDecision,
ReviewLevel,
ValidationReport,
ValidationResult,
)
if TYPE_CHECKING:
from core_ingest.manifold import SegmentManifold
# ---------------------------------------------------------------------------
# Individual gates
# ---------------------------------------------------------------------------
class ProvenanceGate:
"""
Gate 1: SourceSpan integrity.
Checks:
- At least one SourceSpan (enforced at packet construction; double-checked here)
- source_sha256 is 64 hex characters
- byte_start >= 0
- byte_end > byte_start
"""
def check(self, packet: CandidateGeometricPressure) -> str | None:
"""Return a failure reason string, or None if the packet passes."""
if not packet.provenance:
return "provenance is empty"
for span in packet.provenance:
if span.byte_start < 0:
return f"negative byte_start ({span.byte_start}) in SourceSpan"
if span.byte_end <= span.byte_start:
return (
f"byte_end ({span.byte_end}) <= byte_start ({span.byte_start})"
)
if len(span.source_sha256) != 64:
return (
f"source_sha256 is {len(span.source_sha256)} chars, expected 64"
)
return None
class SemanticGate:
"""
Gate 2: Span completeness.
Checks:
- payload_json is non-empty (not just '{}')
- lemma is non-empty for TEXT and SCRIPTURE modalities
- For CODE modality: no unbalanced braces/brackets/parens in lemma
- Minimum combined span length of 1 byte
"""
_PAIRS = {"{": "}", "[": "]", "(": ")", "<": ">"}
def check(self, packet: CandidateGeometricPressure) -> str | None:
import json
from core_ingest.types import Modality
if packet.payload_json in ("{}", ""):
return "payload_json is empty — no content to ingest"
# Require non-empty lemma for text / scripture
if packet.modality in (Modality.TEXT, Modality.SCRIPTURE) and not packet.lemma:
return (
f"modality {packet.modality.value} requires a non-empty lemma"
)
# CODE: balanced delimiter check on lemma
if packet.modality == Modality.CODE and packet.lemma:
stack: list[str] = []
for ch in packet.lemma:
if ch in self._PAIRS:
stack.append(self._PAIRS[ch])
elif ch in self._PAIRS.values():
if not stack or stack[-1] != ch:
return f"unbalanced delimiter '{ch}' in code lemma"
stack.pop()
if stack:
return f"unclosed delimiter(s) in code lemma: {''.join(stack)}"
# Minimum span length
total_bytes = sum(s.byte_end - s.byte_start for s in packet.provenance)
if total_bytes < 1:
return "total span length is 0 bytes"
return None
class GovernanceGate:
"""
Gate 3: ReviewLevel and DeterminismClass consistency.
Checks:
- AUTO_ACCEPT_ELIGIBLE is only claimed by D0/D1 frontends
(enforced at packet construction; double-checked here)
- AUTO_REJECT packets are always rejected
- D2-D4 packets not covered by a ReviewDecision land in review_required
"""
def check(
self,
packet: CandidateGeometricPressure,
authorized_ids: frozenset[str],
) -> GateDisposition:
if packet.review_level == ReviewLevel.AUTO_REJECT:
return GateDisposition.REJECTED_GOVERNANCE
# Override: an authorized ReviewDecision accepts regardless of level
if packet.pressure_id in authorized_ids:
return GateDisposition.OVERRIDE_ACCEPTED
if packet.review_level == ReviewLevel.AUTO_ACCEPT_ELIGIBLE:
# Invariant already enforced at construction — D0/D1 only
return GateDisposition.ACCEPTED
# OPERATOR_REVIEW_REQUIRED or ARCHITECT_REVIEW_REQUIRED without override
return GateDisposition.REVIEW_REQUIRED
# ---------------------------------------------------------------------------
# Compiler
# ---------------------------------------------------------------------------
class IngestCompiler:
"""
Processes batches of CandidateGeometricPressure packets through the
three-gate pipeline and produces a ValidationReport.
Usage
-----
compiler = IngestCompiler()
report, artifacts = compiler.compile(packets)
# With automatic manifold registration:
manifold = SegmentManifold()
report, artifacts = compiler.compile(packets, manifold=manifold)
# Accepted packets are now registered in manifold — no manual call needed.
"""
def __init__(self) -> None:
self._provenance_gate = ProvenanceGate()
self._semantic_gate = SemanticGate()
self._governance_gate = GovernanceGate()
def compile(
self,
packets: Sequence[CandidateGeometricPressure],
review_decision: ReviewDecision | None = None,
manifold: "SegmentManifold | None" = None,
) -> tuple[ValidationReport, list[LearningArtifact]]:
"""
Validate a batch of candidate packets.
Parameters
----------
packets : The batch to validate (any sequence).
review_decision : Optional operator/architect authorization. Packets
whose pressure_id appears in
review_decision.authorized_ids are accepted
regardless of their ReviewLevel.
manifold : Optional SegmentManifold. When provided, accepted
packets are registered automatically after
compilation — callers do not need a manual
manifold.register() call.
Returns
-------
(ValidationReport, list[LearningArtifact])
"""
authorized_ids: frozenset[str] = (
review_decision.authorized_ids
if review_decision is not None
else frozenset()
)
# Deduplication: track seen pressure_ids (structural) and semantic_keys
seen_pressure_ids: set[str] = set()
semantic_counts: dict[str, int] = defaultdict(int)
results: list[ValidationResult] = []
artifacts: list[LearningArtifact] = []
accepted_ids: set[str] = set()
rejected_ids: set[str] = set()
review_ids: set[str] = set()
for packet in packets:
pid = packet.pressure_id
sk = packet.semantic_key
# Structural deduplication
if pid in seen_pressure_ids:
results.append(ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=GateDisposition.REJECTED_PROVENANCE,
gate_failed="provenance",
failure_reason="duplicate pressure_id — structural duplicate",
))
rejected_ids.add(pid)
continue
seen_pressure_ids.add(pid)
# Convergent-evidence tracking
prior_count = semantic_counts[sk]
semantic_counts[sk] += 1
convergence_warning: tuple[str, ...] = ()
if prior_count > 0:
convergence_warning = (
f"semantic_convergence:{prior_count}_prior_sources",
)
# Gate 1: Provenance
prov_failure = self._provenance_gate.check(packet)
if prov_failure is not None:
results.append(ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=GateDisposition.REJECTED_PROVENANCE,
gate_failed="provenance",
failure_reason=prov_failure,
warnings=convergence_warning,
))
rejected_ids.add(pid)
continue
# Gate 2: Semantic
sem_failure = self._semantic_gate.check(packet)
if sem_failure is not None:
results.append(ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=GateDisposition.REJECTED_SEMANTIC,
gate_failed="semantic",
failure_reason=sem_failure,
warnings=convergence_warning,
))
rejected_ids.add(pid)
continue
# Gate 3: Governance
disposition = self._governance_gate.check(packet, authorized_ids)
if disposition == GateDisposition.REVIEW_REQUIRED:
results.append(ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=disposition,
warnings=convergence_warning,
))
review_ids.add(pid)
continue
if disposition == GateDisposition.REJECTED_GOVERNANCE:
results.append(ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=disposition,
gate_failed="governance",
failure_reason="AUTO_REJECT review level",
warnings=convergence_warning,
))
rejected_ids.add(pid)
continue
# ACCEPTED or OVERRIDE_ACCEPTED
result = ValidationResult(
pressure_id=pid,
semantic_key=sk,
disposition=disposition,
warnings=convergence_warning,
)
results.append(result)
accepted_ids.add(pid)
artifacts.append(LearningArtifact(packet=packet, result=result))
report = ValidationReport(
results=tuple(results),
accepted_ids=frozenset(accepted_ids),
rejected_ids=frozenset(rejected_ids),
review_ids=frozenset(review_ids),
)
# Auto-register accepted packets into the manifold if provided
if manifold is not None and artifacts:
manifold.register([art.packet for art in artifacts])
return report, artifacts