- aborist/qa/verify.py: three strategies tried in sequence. quote uses
sequential pairing (1st & 2nd `"`, 3rd & 4th, ...) which eliminates
the phantom inter-pair captures regex pairing produced on adjacent
quote pairs like `"title" prose "quote"`. span checks bullet/sentence
lines verbatim. entity matches multi-word proper nouns; gated by
policy ∈ {strict, hybrid, drop, proximity}. Default proximity
promotes to STRICT only when N=3 verified entities cluster within
W=300 chars in source — separates structural grounding (cast list,
infobox) from incidental mention (scattered plot summary).
- aborist/store.py: schema CHECK now `('STRICT','HYBRID','UNGROUNDED')`.
Migration helper rebuilds legacy `('STRICT','HYBRID','VISUAL')`
tables via temp-table copy, translating VISUAL → UNGROUNDED in the
SELECT. Idempotent — DDL inspection skips the rebuild on already-
migrated DBs.
- aborist/cli.py: new `aborist reclassify` re-runs the verifier
against existing live records under the current entity policy; no
LLM calls. --compare runs all four policies side-by-side, --dry-run
reports transitions without writing. Cold-source records skipped.
One providence_reclassify audit event per changed row.
- AuditMode.UNGROUNDED replaces VISUAL across search backend, FTS5,
test fixtures, CLAUDE.md. The substrate (Merkle-AGI) name was
about FOR-style visualization; in the RAG layer the semantic is
"no recoverable grounding," so the label now says that.
DEFAULT_QUERY_POLICY gains entity_policy + entity_proximity_n +
entity_proximity_window so any tuning folds into governance_policy_hash
and invalidates cache cleanly.
119 lines
3.9 KiB
Python
119 lines
3.9 KiB
Python
"""End-to-end ingest test using a hand-rolled in-memory Source."""
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from __future__ import annotations
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from typing import Iterator
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from aborist.document import Document, Edge
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from aborist.ingest import ingest_source, verify_random_sample
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from aborist.search import FTS5Backend
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from aborist.search.base import AuditMode
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from aborist.source import Source
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from aborist.store import connect, stats
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class FakeSource(Source):
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source_type = "fake"
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def __init__(self, docs: list[Document]):
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self.docs = docs
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def iter_documents(self) -> Iterator[Document]:
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yield from self.docs
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def _doc(uri: str, content: str, *, edges: list[Edge] | None = None) -> Document:
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return Document(
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uri=uri,
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content=content,
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source_type="fake",
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title=uri.rsplit("/", 1)[-1],
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edges=edges or [],
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)
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def test_ingest_basic_round_trip(tmp_path):
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db_path = tmp_path / "test.db"
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src = FakeSource([
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_doc("test://a", "alpha bravo charlie delta echo foxtrot golf hotel"),
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_doc("test://b", "the quick brown fox jumps over the lazy dog"),
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_doc(
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"test://c",
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"merkle providence reverse rag verifies provenance",
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edges=[Edge(edge_type="wikilink", dst_uri="test://a")],
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),
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])
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conn = connect(db_path)
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try:
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result = ingest_source(conn, src)
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assert result.seen == 3
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assert result.inserted == 3
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assert result.skipped_duplicate == 0
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# Verify Merkle round-trip.
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v = verify_random_sample(conn, n=3)
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assert v["sampled"] == 3
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assert v["passed"] == 3
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assert v["failed"] == 0
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# Idempotent re-ingest.
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result2 = ingest_source(conn, src)
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assert result2.inserted == 0
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assert result2.skipped_duplicate == 3
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# FTS5 search returns UNGROUNDED hits.
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backend = FTS5Backend(conn)
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hits = backend.search("merkle")
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assert len(hits) >= 1
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assert hits[0].audit_mode == AuditMode.UNGROUNDED
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assert "merkle" in hits[0].snippet.lower()
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# Edge resolution: c -> a should be backfilled (a was ingested first).
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row = conn.execute(
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"SELECT dst_root FROM edges WHERE dst_uri = ?", ("test://a",)
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).fetchone()
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assert row is not None
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assert row["dst_root"] != "" # backfilled (was '' before resolution)
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# Stats reflect ingest.
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s = stats(conn)
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assert s["documents_total"] == 3
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assert s["documents_surface"] == 3
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assert s["documents_core"] == 0
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assert s["chunks_total"] >= 3
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assert s["audit_events_total"] == 3 # one ingest event per doc
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finally:
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conn.close()
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def test_audit_chain_links_correctly(tmp_path):
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"""Each audit event chains to the previous via prev_event_hash."""
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db_path = tmp_path / "audit.db"
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src = FakeSource([_doc(f"test://{i}", f"document number {i} content") for i in range(5)])
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conn = connect(db_path)
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try:
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ingest_source(conn, src)
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rows = conn.execute(
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"SELECT seq, event_hash, prev_event_hash FROM audit_events ORDER BY seq"
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).fetchall()
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assert len(rows) == 5
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assert rows[0]["prev_event_hash"] is None # genesis
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for i in range(1, len(rows)):
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assert rows[i]["prev_event_hash"] == rows[i - 1]["event_hash"]
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finally:
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conn.close()
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def test_chunker_version_persisted(tmp_path):
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db_path = tmp_path / "chunker.db"
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conn = connect(db_path)
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try:
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ingest_source(conn, FakeSource([_doc("test://x", "alpha beta gamma")]))
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row = conn.execute(
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"SELECT chunking_version, canonicalization_version, schema_version FROM documents"
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).fetchone()
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assert row["chunking_version"] == "tok-512-v1"
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assert row["canonicalization_version"] == "norm-v1"
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assert row["schema_version"] == "v9.8.0"
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finally:
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conn.close()
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