45 lines
2.0 KiB
Python
45 lines
2.0 KiB
Python
"""Batched context preserves neighboring rows and projection fast paths."""
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from hermes_state import SessionDB
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def test_search_context_batches_hits_without_cross_session_neighbors(tmp_path):
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with SessionDB(db_path=tmp_path / "search.db") as db:
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for sid in ("one", "two"):
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db.create_session(sid, "cli")
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for i in range(5):
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db.append_message(sid, "user", f"{sid} needleprobe {i}")
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sql = []
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with db._read_ctx() as conn:
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conn.set_trace_callback(sql.append)
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rows = db.search_messages("needleprobe", limit=20)
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assert len(rows) == 10
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for row in rows:
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contents = [r["content"] for r in row["context"]]
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assert all(c.startswith(row["session_id"]) for c in contents)
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indices = [int(c.rsplit(" ", 1)[1]) for c in contents]
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assert indices == list(range(indices[0], indices[-1] + 1))
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assert len(indices) in (2, 3)
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assert sum("WITH target AS" in q for q in sql) == 1
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sql.clear()
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projected = db.search_messages("needleprobe", fields=["id"], limit=20)
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assert len(projected) == len(rows)
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assert not any("WITH target AS" in q for q in sql)
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def test_context_batches_keep_tied_timestamp_order_and_duplicate_hits(tmp_path):
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with SessionDB(db_path=tmp_path / "ties.db") as db:
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db.create_session("ties", "cli")
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db.append_messages_batch("ties", [
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{"role": "user", "content": f"needleprobe {i}", "timestamp": 10.0}
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for i in range(502)
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])
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rows = db.search_messages("needleprobe", limit=502)
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assert len(rows) == 502
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by_id = sorted(rows, key=lambda row: row["id"])
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for i, row in enumerate(by_id):
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expected = [f"needleprobe {j}" for j in range(max(0, i - 1), min(502, i + 2))]
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assert [r["content"] for r in row["context"]] == expected
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duplicate = db._finalize_search_matches([dict(by_id[250]), dict(by_id[250])])
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assert duplicate[0]["context"] == duplicate[1]["context"] == by_id[250]["context"]
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