qa/corpus: wire fts_title (documents_fts) + fts_phrase (FTS5 phrase MATCH)
Completes the Corpus protocol surface. Both routes already worked at the
storage layer (every shard has chunks_fts AND documents_fts virtual
tables; FTS5 supports MATCH '"phrase"' natively); they just weren't
plumbed through. Now SqliteShardCorpus, MultiShardSqliteCorpus,
BucketClient, FtsSidecarShardClient, MultiShardSidecarCorpus, and
SidecarBucketCorpus all expose fts_title + fts_phrase end-to-end.
Bonus fix in arborist/ingest.py: every shard's INSERT INTO documents
now also INSERTs into documents_fts in the same transaction. Without
this, fts_title returned empty on freshly-ingested shards — only
migrated genesis shards had documents_fts populated. The cost is one
FTS5 row per new doc, negligible vs the chunk inserts.
Also includes operational cleanup (E):
- Deleted s3://arborist/clones/manifest-sidecar.json
- Deleted s3://arborist/clones/full-bench-64k/00[0-3].sidecar.bin
(~3.1 GB reclaimed; the slim FTS5 manifest is now the only cloud
surface)
- Fixed MultiShardSidecarCorpus.stats() — was calling .bucket on
FtsSidecarShardClient (attribute went away when SidecarShardClient
was deleted); now calls .stats() directly on whichever client.
Validation
----------
- Local fts_title("dinosaur"): "Dinosaur" main article ranks #1
- Local fts_phrase(["always been at war"]): "Nineteen Eighty-Four" ranks
#1 (the canonical phrase-route test from CLAUDE.md)
- Cloud (slim FTS5 sidecar) fts_title / fts_phrase: IDENTICAL ranking to
local on the same query (bit-for-bit FTS5 parity preserved)
- Full pytest suite: 2737 passed, 28 skipped, 1 xfailed (the same two
pre-existing failures from main HEAD)
This commit is contained in:
parent
bc3f94efeb
commit
18db3c2caf
4 changed files with 317 additions and 43 deletions
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@ -343,6 +343,19 @@ def _flush_batch(
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"VALUES (?, ?, ?, 'surface', 0, ?, ?, ?, ?, ?)",
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documents_rows,
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)
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# Keep documents_fts (the title FTS5 index) in sync with the
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# documents table on every ingest. Without this the fts_title
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# route on a freshly ingested shard returns empty — only
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# genesis/migrated shards had it populated. The cost is one
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# FTS5 INSERT per new doc, negligible vs the chunk inserts
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# below. Skip rows with NULL title (FTS5 indexes the column
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# value; NULL would yield a row with no terms — wasted).
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conn.executemany(
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"INSERT INTO documents_fts (rowid, title) "
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"SELECT rowid, title FROM documents "
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"WHERE document_root = ? AND title IS NOT NULL",
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[(r[0],) for r in documents_rows],
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)
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if chunk_rows:
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conn.executemany(
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"INSERT INTO chunks (chunk_id, document_root, idx, leaf_hash, content) "
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@ -292,16 +292,66 @@ class SqliteShardCorpus:
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]
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def fts_title(self, query: str, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_title not yet routed through SqliteShardCorpus — "
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"query.py owns title-LIKE today; will move in the next refactor."
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"""Title-only bm25() via the documents_fts virtual table that
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lives alongside chunks_fts in every shard. Uses the SAME
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sanitizer as fts_body so a user query with punctuation /
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stopwords gets the same shape on both routes."""
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from arborist.wallet.bucket import _to_fts5
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match_expr = _to_fts5(query)
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if not match_expr.strip():
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return []
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(documents_fts) AS score "
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"FROM documents_fts "
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"JOIN documents d ON d.rowid = documents_fts.rowid "
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"WHERE documents_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self._conn.execute(sql, (match_expr, limit)))
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return [
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Hit(
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document_root=r["document_root"],
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document_uri=r["document_uri"] or "",
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title=r["title"] or "",
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score=r["score"],
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shard_id=None,
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)
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for r in rows
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]
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def fts_phrase(self, ngrams, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_phrase not yet routed through SqliteShardCorpus — "
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"query.py owns phrase-pattern today; will move in the next refactor."
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"""Verbatim phrase search via FTS5's native MATCH '"phrase"'
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operator. Builds ``"ng1" OR "ng2" OR …`` so any matching
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phrase contributes. Internal double-quotes in n-grams are
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stripped (FTS5 has no phrase-escape — drop rather than fail)."""
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cleaned = [
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ng.replace('"', '').strip()
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for ng in ngrams if ng and ng.strip()
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]
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cleaned = [c for c in cleaned if c]
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if not cleaned:
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return []
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match_expr = " OR ".join(f'"{c}"' for c in cleaned)
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(chunks_fts) AS score "
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"FROM chunks_fts JOIN chunks c ON c.rowid = chunks_fts.rowid "
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"JOIN documents d ON d.document_root = c.document_root "
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"WHERE chunks_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self._conn.execute(sql, (match_expr, limit)))
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return [
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Hit(
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document_root=r["document_root"],
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document_uri=r["document_uri"] or "",
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title=r["title"] or "",
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score=r["score"],
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shard_id=None,
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)
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for r in rows
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]
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def chunks_for_doc(
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self, document_root: str, *, limit: int | None = None
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@ -418,14 +468,37 @@ class MultiShardSqliteCorpus:
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return merged[:limit]
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def fts_title(self, query: str, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_title not yet routed through MultiShardSqliteCorpus."
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)
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"""Per-shard fts_title merged by raw bm25 score (ASC)."""
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return self._fanout("fts_title", limit, query=query)
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def fts_phrase(self, ngrams, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_phrase not yet routed through MultiShardSqliteCorpus."
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)
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"""Per-shard fts_phrase merged by raw bm25 score (ASC).
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Materializes ``ngrams`` to a list — Iterable might be a
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one-shot generator and each shard needs to re-walk it.
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"""
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ngs = list(ngrams)
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return self._fanout("fts_phrase", limit, ngrams=ngs)
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def _fanout(self, method: str, limit: int, **kwargs) -> list[Hit]:
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"""Common per-shard fan-out + merge for title/phrase routes.
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Same shape as fts_body's merge: each shard returns its top-K,
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we annotate shard_id, then sort ASC by bm25 (lower=better)."""
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merged: list[Hit] = []
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for sh_path, sc in self._shards:
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hits = getattr(sc, method)(limit=limit * 2, **kwargs)
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for h in hits:
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merged.append(Hit(
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document_root=h.document_root,
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document_uri=h.document_uri,
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title=h.title,
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score=h.score,
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shard_id=sh_path,
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extras=dict(h.extras),
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))
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merged.sort(key=lambda h: h.score)
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return merged[:limit]
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def chunks_for_doc(
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self, document_root: str, *, limit: int | None = None
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@ -501,18 +574,35 @@ class SidecarBucketCorpus:
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]
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def fts_title(self, query: str, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_title not yet wired for SidecarBucketCorpus — the slim "
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"FTS5 sidecar already carries documents_fts (title index); "
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"exposing it just needs a per-shard MATCH route here."
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)
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"""Title-only bm25 via documents_fts on each shard."""
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hits = self._mscorpus.fts_title_search(query, limit=limit)
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return [
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Hit(
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document_root=h["document_root"],
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document_uri=h.get("document_uri", ""),
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title=h.get("title", ""),
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score=h.get("score", 0.0),
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shard_id=h.get("_shard_url"),
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extras={"merge_score": h.get("merge_score")} if "merge_score" in h else {},
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)
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for h in hits
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]
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def fts_phrase(self, ngrams, *, limit: int = 8) -> list[Hit]:
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raise NotSupportedError(
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"fts_phrase not implemented for SidecarBucketCorpus — "
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"FTS5 supports MATCH '\"phrase here\"' directly; the route "
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"just isn't surfaced here yet."
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)
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"""Verbatim phrase search via FTS5 MATCH '"phrase"' on each
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shard's chunks_fts."""
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hits = self._mscorpus.fts_phrase_search(list(ngrams), limit=limit)
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return [
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Hit(
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document_root=h["document_root"],
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document_uri=h.get("document_uri", ""),
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title=h.get("title", ""),
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score=h.get("score", 0.0),
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shard_id=h.get("_shard_url"),
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extras={"merge_score": h.get("merge_score")} if "merge_score" in h else {},
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)
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for h in hits
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]
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def chunks_for_doc(
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self, document_root: str, *, limit: int | None = None
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@ -494,6 +494,56 @@ class BucketClient:
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for r in rows
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]
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def fts_title_search(
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self, query: str, *, limit: int = 8, raw: bool = False,
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) -> list[dict]:
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"""Title-only bm25 via documents_fts. Same sanitizer as
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fts_search so callers don't think about query shape."""
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fts_query = query if raw else _to_fts5(query)
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if not fts_query.strip():
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return []
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(documents_fts) AS score "
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"FROM documents_fts "
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"JOIN documents d ON d.rowid = documents_fts.rowid "
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"WHERE documents_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self.conn.execute(sql, (fts_query, limit)))
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return [
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{"document_root": r[0], "document_uri": r[1],
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"title": r[2], "score": r[3]}
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for r in rows
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]
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def fts_phrase_search(
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self, ngrams, *, limit: int = 8,
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) -> list[dict]:
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"""Verbatim phrase search via FTS5's native MATCH '"phrase"'."""
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cleaned = [
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ng.replace('"', '').strip()
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for ng in ngrams if ng and ng.strip()
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]
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cleaned = [c for c in cleaned if c]
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if not cleaned:
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return []
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match_expr = " OR ".join(f'"{c}"' for c in cleaned)
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(chunks_fts) AS score "
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"FROM chunks_fts JOIN chunks c ON c.rowid = chunks_fts.rowid "
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"JOIN documents d ON d.document_root = c.document_root "
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"WHERE chunks_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self.conn.execute(sql, (match_expr, limit)))
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return [
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{"document_root": r[0], "document_uri": r[1],
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"title": r[2], "score": r[3]}
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for r in rows
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]
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def chunks_for_doc(self, document_root: str) -> list[dict]:
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"""Return {idx, leaf_hash} for every chunk of a document."""
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sql = (
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@ -828,6 +878,60 @@ class FtsSidecarShardClient:
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for r in rows
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]
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def fts_title_search(
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self, query: str, *, limit: int = 8, raw: bool = False,
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) -> list[dict]:
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"""Title-only bm25 via the slim sidecar's documents_fts.
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Same FTS5 query shape as BucketClient.fts_title_search — the
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slim sidecar contains the same documents_fts shadow tables
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the source shard does.
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"""
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fts_query = query if raw else _to_fts5(query)
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if not fts_query.strip():
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return []
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(documents_fts) AS score "
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"FROM documents_fts "
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"JOIN documents d ON d.rowid = documents_fts.rowid "
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"WHERE documents_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self._conn.execute(sql, (fts_query, limit)))
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return [
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{"document_root": r[0], "document_uri": r[1],
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"title": r[2], "score": r[3]}
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for r in rows
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]
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def fts_phrase_search(
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self, ngrams, *, limit: int = 8,
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) -> list[dict]:
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"""Verbatim phrase search against the slim sidecar's chunks_fts."""
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cleaned = [
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ng.replace('"', '').strip()
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for ng in ngrams if ng and ng.strip()
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]
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cleaned = [c for c in cleaned if c]
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if not cleaned:
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return []
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match_expr = " OR ".join(f'"{c}"' for c in cleaned)
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sql = (
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"SELECT d.document_root, d.document_uri, d.title, "
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" bm25(chunks_fts) AS score "
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"FROM chunks_fts JOIN chunks c ON c.rowid = chunks_fts.rowid "
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"JOIN documents d ON d.document_root = c.document_root "
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"WHERE chunks_fts MATCH ? "
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"ORDER BY score LIMIT ?"
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)
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rows = list(self._conn.execute(sql, (match_expr, limit)))
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return [
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{"document_root": r[0], "document_uri": r[1],
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"title": r[2], "score": r[3]}
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for r in rows
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]
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def chunks_for_doc(self, document_root: str) -> list[dict]:
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"""Return chunk metadata (idx, leaf_hash) for a document.
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@ -966,21 +1070,51 @@ class MultiShardSidecarCorpus:
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def fts_search(
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self, query: str, *, limit: int = 8, raw: bool = False,
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) -> list[dict]:
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"""Run each shard's FTS in parallel, merge by raw bm25 score.
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"""Body-FTS5 across all shards, merged by MIN raw bm25."""
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return self._fanout(
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"fts_search", limit, query=query, raw=raw,
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)
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Every backend now returns FTS5's negative bm25 (lower = better),
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so merge takes the MIN per document_root and sorts ascending —
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homogeneous scoring, no RRF needed.
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def fts_title_search(
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self, query: str, *, limit: int = 8, raw: bool = False,
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) -> list[dict]:
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"""Title-FTS5 across all shards. Backends without the method
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(e.g. BucketClient on a shard with no documents_fts) contribute
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nothing — fall-open."""
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return self._fanout(
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"fts_title_search", limit, query=query, raw=raw,
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)
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def fts_phrase_search(
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self, ngrams, *, limit: int = 8,
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) -> list[dict]:
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"""Verbatim phrase MATCH across all shards. Materialize the
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ngrams iterable so each shard's lambda re-walk works."""
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ngs = list(ngrams)
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return self._fanout(
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"fts_phrase_search", limit, ngrams=ngs,
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)
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def _fanout(self, method: str, limit: int, **kwargs) -> list[dict]:
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"""Shared per-shard fan-out + MIN-score merge.
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Every backend returns FTS5's negative bm25 (lower = better),
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so MIN per document_root + sort ASC = correct global ranking.
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Per-shard failures (missing method on a backend, query error)
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are swallowed to keep the fan-out fail-open.
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"""
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from concurrent.futures import ThreadPoolExecutor
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def _one(item):
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sh_url, sh_client = item
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fn = getattr(sh_client, method, None)
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if fn is None:
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return sh_url, []
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try:
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# Oversample 4× per shard so post-merge ranking has more
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# Oversample 4× per shard so the merge has more
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# candidates — a doc barely in top-K on one shard but #1
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# on another should still bubble up.
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return sh_url, sh_client.fts_search(query, limit=limit * 4, raw=raw)
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return sh_url, fn(limit=limit * 4, **kwargs)
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except Exception:
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return sh_url, []
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@ -1021,8 +1155,9 @@ class MultiShardSidecarCorpus:
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for sh, c, has_sc in zip(
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self.manifest.shards, self.shard_clients, self._has_sidecar,
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):
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bucket = c.bucket if has_sc else c # type: ignore[attr-defined]
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s = bucket.stats()
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# Both FtsSidecarShardClient and BucketClient expose .stats()
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# directly now; no .bucket attribute on the slim client.
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s = c.stats()
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merged["total_http_requests"] += s.get("http_requests") or 0
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merged["total_bytes_fetched"] += (
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(s.get("cache") or {}).get("bytes_fetched") or 0
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|
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@ -159,40 +159,76 @@ def test_sqlite_fts_body_returns_hit_shape(shard_conn):
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# ---------------------------------------------------------------------------
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# Routes that should NotSupportedError
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# fts_title + fts_phrase routes (documents_fts + FTS5 phrase MATCH)
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# ---------------------------------------------------------------------------
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def test_sqlite_fts_title_not_supported(shard_conn):
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def test_sqlite_fts_title_via_documents_fts(shard_conn):
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"""fts_title returns title-bm25 ranked hits from documents_fts."""
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corpus = SqliteShardCorpus(shard_conn)
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with pytest.raises(NotSupportedError):
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corpus.fts_title("anarchism")
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hits = corpus.fts_title("anarchism", limit=5)
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# Should rank the Anarchism doc highly via title MATCH.
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assert any("Anarchism" in h.title for h in hits)
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def test_sqlite_fts_phrase_not_supported(shard_conn):
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def test_sqlite_fts_title_stopword_only_returns_empty(shard_conn):
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"""All-stopword queries reduce to empty FTS5 — short-circuit."""
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corpus = SqliteShardCorpus(shard_conn)
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with pytest.raises(NotSupportedError):
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corpus.fts_phrase(["anarchism is a"])
|
||||
assert corpus.fts_title("the of and") == []
|
||||
|
||||
|
||||
def test_sidecar_fts_title_not_supported():
|
||||
def test_sqlite_fts_phrase_matches_verbatim(shard_conn):
|
||||
"""FTS5 phrase MATCH '"phrase"' returns chunks containing the
|
||||
verbatim phrase. Use a phrase known to appear in the fixture doc."""
|
||||
corpus = SqliteShardCorpus(shard_conn)
|
||||
# The Anarchism fixture has "political philosophy" verbatim.
|
||||
hits = corpus.fts_phrase(["political philosophy"], limit=5)
|
||||
assert hits, "expected at least one hit for verbatim phrase"
|
||||
assert any("Anarchism" in h.title for h in hits)
|
||||
# Phrase tokens that DON'T appear together should return nothing.
|
||||
misses = corpus.fts_phrase(["stateless capital"], limit=5)
|
||||
assert misses == []
|
||||
|
||||
|
||||
def test_sqlite_fts_phrase_empty_input_returns_empty(shard_conn):
|
||||
corpus = SqliteShardCorpus(shard_conn)
|
||||
assert corpus.fts_phrase([]) == []
|
||||
assert corpus.fts_phrase(["", " "]) == []
|
||||
|
||||
|
||||
def test_sidecar_fts_title_delegates_to_multishard():
|
||||
"""SidecarBucketCorpus.fts_title delegates to the multi-shard
|
||||
fts_title_search method. Stub the multi-shard and confirm shape."""
|
||||
class _StubMulti:
|
||||
manifest = type("M", (), {"shards": [], "snapshot_root": None})()
|
||||
def fts_search(self, q, *, limit=8): return []
|
||||
def fts_title_search(self, q, *, limit=8): return [
|
||||
{"document_root": "abc", "document_uri": "test://x",
|
||||
"title": "X", "score": -12.0, "_shard_url": "s0"},
|
||||
]
|
||||
def fts_phrase_search(self, ngs, *, limit=8): return []
|
||||
def conn_for_shard(self, url): raise KeyError(url)
|
||||
corpus = SidecarBucketCorpus(_StubMulti())
|
||||
with pytest.raises(NotSupportedError):
|
||||
corpus.fts_title("anarchism")
|
||||
hits = corpus.fts_title("anything")
|
||||
assert len(hits) == 1
|
||||
assert hits[0].title == "X"
|
||||
assert hits[0].shard_id == "s0"
|
||||
|
||||
|
||||
def test_sidecar_fts_phrase_not_supported():
|
||||
def test_sidecar_fts_phrase_delegates_to_multishard():
|
||||
class _StubMulti:
|
||||
manifest = type("M", (), {"shards": [], "snapshot_root": None})()
|
||||
def fts_search(self, q, *, limit=8): return []
|
||||
def fts_title_search(self, q, *, limit=8): return []
|
||||
def fts_phrase_search(self, ngs, *, limit=8): return [
|
||||
{"document_root": "abc", "document_uri": "test://x",
|
||||
"title": "X", "score": -23.5},
|
||||
]
|
||||
def conn_for_shard(self, url): raise KeyError(url)
|
||||
corpus = SidecarBucketCorpus(_StubMulti())
|
||||
with pytest.raises(NotSupportedError):
|
||||
corpus.fts_phrase(["a b c"])
|
||||
hits = corpus.fts_phrase(["any phrase"])
|
||||
assert len(hits) == 1
|
||||
assert hits[0].score == -23.5
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue