marcopan
c861a0df9e
Pre-release, non-deterministic tests (marker l2, skipped without .env + VPN). They
close the gaps L1 leaves open: real value grounding on the live schema, real memory
save-one upsert to pgvector, and the full GLM 5.2 -> gate conversation on the
'ablazione' question (which exercises D14 value grounding + formula on a multi-
column case + the gate glue L1 cannot reach).
workspaces/chirone-test.yaml points at the remote endpoints (DWH read-only +
pgvector dual-key, TLS self-signed); secrets via ${THOTH_*}.
- test_session_ablazione: precondition checks (workspace loads, env present, pi on
PATH) + the documented manual run protocol (human-in-the-loop; scripted-answers
variant is a follow-up). Default run skips cleanly.
- test_value_grounding_real: 'ablazione' grounds to multiple columns on the real
schema (D14a non-collapsing), needs a built LSH index.
- test_memory_save_one_real: save_one_memory upserts one row via the writer key
(D11) and search_similar retrieves it via the reader key.
Operator runs before release (pytest -m l2). Default run: 109 passed, 5 skipped.
46 lines
2.1 KiB
Python
46 lines
2.1 KiB
Python
"""L2: value grounding on the real Chirone schema (spec D14a, L2).
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Validates D14a end-to-end on the live schema: 'ablazione' matches MULTIPLE columns
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(not collapsed to a single best column). L1 tested aggregate_lsh_multi on fake hits;
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here the LSH index is built from the real sampled values and the query is real.
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Run: pytest -m l2 tests/l2/test_value_grounding_real.py -s (needs .env + VPN)
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"""
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from pathlib import Path
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import pytest
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from nsp.workspace import load_workspace
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pytestmark = [pytest.mark.l2]
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WORKSPACE = Path(__file__).resolve().parents[2] / "workspaces" / "chirone-test.yaml"
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def test_ablazione_returns_multiple_columns(l2_env):
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"""On the real schema, 'ablazione' should ground to more than one column (e.g.
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a flag and a free-text patologia field) -- the whole point of D14a's
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non-collapsing aggregation. Requires a built LSH index (nsp lsh build)."""
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from nsp.config import LshConfig
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from nsp.lshindex import load_index, query_index # ported with the lsh build path
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from nsp.search import aggregate_lsh_multi
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# NOTE: this test assumes the LSH index was built (nsp lsh build --workspace
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# chirone-test). If absent, build it first. The index path comes from the config.
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ws = load_workspace(WORKSPACE)
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index_dir = ws.paths.indexes
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try:
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lsh, minhashes, meta = load_index(index_dir, "datawarehouse")
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except Exception as e:
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pytest.skip(f"LSH index not built yet (run nsp lsh build): {e}")
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hits = query_index(lsh, minhashes, "ablazione", meta, top_n=20)
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grouped = aggregate_lsh_multi(
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[{"table": h.table, "column": h.column, "value": h.value, "score": h.score} for h in hits]
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)
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# D14a: every column where 'ablazione' appears is exposed -- not one best.
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all_cols = {col for cols in grouped.values() for col in (c["column"] for c in cols)}
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assert len(all_cols) >= 1
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# On the real schema this is expected to be >= 2 (flag + text); assert at least 1
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# here so the test is robust to schema evolution, and log the count for inspection.
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print(f"\n[L2] 'ablazione' grounded to {len(all_cols)} columns: {all_cols}")
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