Files
stack/tests/llm/test_rag.py

1077 lines
39 KiB
Python

"""llm.rag — multi-collection retrieval + grounded streaming answer."""
import json
from datetime import date
from unittest.mock import MagicMock, patch
import pytest
from langchain_core.documents import Document
import llm.rag as rag
from llm.config import LlmConfig
from llm.lineage import LineageEvent, LineageEvidence
from llm.rag import (
build_messages,
era_balance,
era_of,
is_history_question,
retrieve,
stream_answer,
)
from llm.rerank import Hit
CFG = LlmConfig(
ollama_hosts=("http://h1:11434",),
host_vram={"http://h1:11434": 24},
embed_model="embed",
instruct_model="chat",
instruct_model_large="big",
embed_dim=768,
pg_host="x",
pg_port=5432,
pg_db="llm",
pg_user="llm",
build_ann_index=True,
k_per_kind={"comment": 2, "rule": 1, "corpus": 1},
top_n=3,
)
NOW = date(2026, 9, 3)
@pytest.fixture(autouse=True)
def _reset_docket_era_cache():
"""``era_of``'s comment→docket-year map is a module-global cache
(llm.rag mirrors lineage.py's ``_STORE``/``_ReplicaCache`` pattern)
— no test may inherit another's mocked store or mapping."""
def _reset():
rag._docket_era_mtime = rag._UNSET
rag._docket_era_map.clear()
_reset()
yield
_reset()
def _doc(text, **md):
return Document(page_content=text, metadata=md)
def _stores(by_collection):
"""vectorstore(collection, cfg, pool) → a store whose
similarity_search_with_score_by_vector returns by_collection[name]."""
def factory(collection, cfg, pool):
s = MagicMock()
s.similarity_search_with_score_by_vector.return_value = by_collection.get(
collection, []
)
return s
return factory
class TestRetrieve:
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_merges_kinds_and_builds_links(self, mock_vs, MockEmb):
MockEmb.return_value.embed_query.return_value = [0.1] * 3
mock_vs.side_effect = _stores(
{
"comments": [
(
_doc(
"Telehealth comment.",
kind="comment",
comment_id="CMS-2026-2377-3438",
docket="CMS-2026-2377",
item_key="K1",
date="2026-08-19",
title="Anand M.",
),
0.25,
)
],
"rules": [
(
_doc(
"Under this proposal, the new G codes apply.",
kind="rule",
item_key="R1",
html_url="https://fr.test/doc",
p_id="935",
page="43949",
ordinal="1",
fr_volume="91",
date="2026-07-16",
title="CY2027 PFS NPRM",
),
0.20,
)
],
"corpus": [],
}
)
out = retrieve("telehealth", cfg=CFG, pool=MagicMock(), now=NOW)
assert [s["kind"] for s in out] == ["rule", "comment"]
rule, comment = out
assert rule["label"] == "91 FR 43949 ¶1"
assert rule["id"] == rule["label"]
assert rule["url"].startswith("https://fr.test/doc#p-935:~:text=Under%20this")
assert (
comment["url"] == "https://www.regulations.gov/comment/CMS-2026-2377-3438"
)
assert comment["comment_id"] == "CMS-2026-2377-3438"
assert comment["docket"] == "CMS-2026-2377"
assert comment["date"] == "2026-08-19"
assert comment["snippet"] == "Telehealth comment."
assert 0 < comment["score"] <= 1
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_over_fetches_three_per_kind_and_embeds_once(self, mock_vs, MockEmb):
MockEmb.return_value.embed_query.return_value = [0.0]
stores = {}
def factory(collection, cfg, pool):
s = MagicMock()
s.similarity_search_with_score_by_vector.return_value = []
stores[collection] = s
return s
mock_vs.side_effect = factory
retrieve("q", cfg=CFG, pool=MagicMock(), now=NOW)
assert MockEmb.return_value.embed_query.call_count == 1
comments = stores["comments"].similarity_search_with_score_by_vector
rules = stores["rules"].similarity_search_with_score_by_vector
assert comments.call_args.kwargs["k"] == 6
assert rules.call_args.kwargs["k"] == 3
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_since_filters_old_hits(self, mock_vs, MockEmb):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores(
{
"comments": [
(
_doc(
"old",
kind="comment",
comment_id="C-1",
item_key="A",
date="2019-01-01",
),
0.1,
),
(
_doc(
"new",
kind="comment",
comment_id="C-2",
item_key="B",
date="2026-01-01",
),
0.3,
),
]
}
)
out = retrieve("q", cfg=CFG, pool=MagicMock(), since="2025-01-01", now=NOW)
assert [s["comment_id"] for s in out] == ["C-2"]
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_recent_comment_outranks_slightly_closer_old_one(self, mock_vs, MockEmb):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores(
{
"comments": [
(
_doc(
"old",
kind="comment",
comment_id="C-1",
item_key="A",
date="2019-01-01",
),
0.20,
),
(
_doc(
"new",
kind="comment",
comment_id="C-2",
item_key="B",
date="2026-08-19",
),
0.25,
),
]
}
)
out = retrieve("q", cfg=CFG, pool=MagicMock(), now=NOW)
assert [s["comment_id"] for s in out] == ["C-2", "C-1"]
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_legacy_chunks_without_kind_are_treated_as_comments(self, mock_vs, MockEmb):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores(
{
"comments": [
(_doc("x", comment_id="C-9", item_key="K9", docket="D"), 0.5)
]
}
)
(s,) = retrieve("q", cfg=CFG, pool=MagicMock(), now=NOW)
assert s["kind"] == "comment" and s["label"] == "C-9"
@patch("llm.rag.era_balance")
@patch("llm.rag.blend")
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_timeline_mode_overfetches_and_skips_blend(
self, mock_vs, MockEmb, mock_blend, mock_balance
):
MockEmb.return_value.embed_query.return_value = [0.0]
stores = {}
def factory(collection, cfg, pool):
s = MagicMock()
s.similarity_search_with_score_by_vector.return_value = []
stores[collection] = s
return s
mock_vs.side_effect = factory
mock_balance.return_value = []
retrieve("history of CCM", cfg=CFG, pool=MagicMock(), mode="timeline")
comments = stores["comments"].similarity_search_with_score_by_vector
rules = stores["rules"].similarity_search_with_score_by_vector
# cfg.timeline_overfetch defaults to 6, vs _OVERFETCH=3 for "recent"
assert comments.call_args.kwargs["k"] == 2 * 6
assert rules.call_args.kwargs["k"] == 1 * 6
mock_blend.assert_not_called()
mock_balance.assert_called_once()
assert mock_balance.call_args.kwargs == {
"per_era": CFG.timeline_per_era,
"top_n": CFG.top_n,
}
@patch("llm.rag.era_balance")
@patch("llm.rag.blend")
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_mode_recent_forces_blend_even_for_a_history_question(
self, mock_vs, MockEmb, mock_blend, mock_balance
):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores({})
mock_blend.return_value = []
retrieve("history of CCM", cfg=CFG, pool=MagicMock(), mode="recent", now=NOW)
mock_blend.assert_called_once()
mock_balance.assert_not_called()
@patch("llm.rag.era_balance")
@patch("llm.rag.blend")
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_mode_timeline_forces_era_balance_for_a_plain_question(
self, mock_vs, MockEmb, mock_blend, mock_balance
):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores({})
mock_balance.return_value = []
retrieve("telehealth", cfg=CFG, pool=MagicMock(), mode="timeline")
mock_balance.assert_called_once()
mock_blend.assert_not_called()
@patch("llm.rag.era_balance")
@patch("llm.rag.blend")
@patch("llm.rag.PoolEmbeddings")
@patch("llm.index.vectorstore")
def test_mode_auto_routes_to_timeline_for_a_history_question(
self, mock_vs, MockEmb, mock_blend, mock_balance
):
MockEmb.return_value.embed_query.return_value = [0.0]
mock_vs.side_effect = _stores({})
mock_balance.return_value = []
retrieve("history of CCM", cfg=CFG, pool=MagicMock()) # mode="auto" default
mock_balance.assert_called_once()
mock_blend.assert_not_called()
class TestIsHistoryQuestion:
@pytest.mark.parametrize(
"question",
[
"history of CCM",
"what replaced G2058",
"how did payment change between 2015 and 2025",
"when was 99490 created",
],
)
def test_positives(self, question):
assert is_history_question(question) is True
@pytest.mark.parametrize(
"question",
[
"what is the 2026 payment for 99490",
"does 99490 pass telehealth step 3",
],
)
def test_negatives(self, question):
assert is_history_question(question) is False
def test_two_distinct_years_without_a_trigger_word_counts_as_history(self):
assert is_history_question("99490 2015 vs 99490 2027 payment") is True
def test_one_year_alone_is_not_enough(self):
assert is_history_question("the 2026 payment for 99490") is False
class TestEraOf:
def _hit(self, **md):
return Hit(text="t", metadata={k: str(v) for k, v in md.items()}, distance=0.1)
def test_rule_uses_rule_year_of(self):
h = self._hit(kind="rule", title="CY2021 PFS final", date="2020-11-15")
assert era_of(h) == 2021
def test_corpus_uses_date_year(self):
h = self._hit(kind="corpus", date="2019-03-01")
assert era_of(h) == 2019
def test_corpus_unknown_date_is_era_zero(self):
h = self._hit(kind="corpus", date="")
assert era_of(h) == 0
@patch("llm.rag._bib_store")
def test_comment_docket_closing_in_september_belongs_to_next_year(self, mock_store):
from bib.dockets import Docket
mock_store.return_value.dockets.return_value = [
Docket(id="CMS-2023-9999", comment_end_date="2023-09-15")
]
mock_store.return_value._db_path = "/nonexistent/bib.sqlite"
h = self._hit(
kind="comment", docket="CMS-2023-9999", date="2023-09-10", item_key="K"
)
assert era_of(h) == 2024
@patch("llm.rag._bib_store")
def test_comment_docket_closing_in_january_belongs_to_that_year(self, mock_store):
from bib.dockets import Docket
mock_store.return_value.dockets.return_value = [
Docket(id="CMS-2024-1", comment_end_date="2024-01-10")
]
mock_store.return_value._db_path = "/nonexistent/bib.sqlite"
h = self._hit(
kind="comment", docket="CMS-2024-1", date="2024-01-05", item_key="K"
)
assert era_of(h) == 2024
@patch("llm.rag._bib_store")
def test_comment_unknown_docket_falls_back_to_its_own_date(self, mock_store):
mock_store.return_value.dockets.return_value = []
mock_store.return_value._db_path = "/nonexistent/bib.sqlite"
h = self._hit(kind="comment", docket="CMS-9999-1", date="2019-05-01")
assert era_of(h) == 2019
@patch("llm.rag._bib_store")
def test_comment_lookup_is_not_repeated_once_cached(self, mock_store):
from bib.dockets import Docket
mock_store.return_value.dockets.return_value = [
Docket(id="CMS-2024-1", comment_end_date="2024-01-10")
]
mock_store.return_value._db_path = "/nonexistent/bib.sqlite"
h1 = self._hit(kind="comment", docket="CMS-2024-1", date="2024-01-05")
h2 = self._hit(kind="comment", docket="CMS-2024-1", date="2024-01-05")
assert era_of(h1) == era_of(h2) == 2024
assert mock_store.return_value.dockets.call_count == 1
class TestEraBalance:
def _rule_hit(self, key, year, distance):
return Hit(
text="t",
metadata={
"kind": "rule",
"title": f"CY{year} PFS final",
"date": f"{year - 1}-11-01",
"item_key": key,
},
distance=distance,
)
def test_picks_older_and_newer_eras_over_higher_scoring_middle_era(self):
hits = [
self._rule_hit("R1", 2026, 0.05), # score .95 — best 2026
self._rule_hit("R2", 2026, 0.10), # score .90
self._rule_hit("R3", 2026, 0.15), # score .85
self._rule_hit("R4", 2015, 0.40), # score .60 — only CY2015 hit
self._rule_hit("R5", 2027, 0.35), # score .65 — only CY2027 hit
]
out = era_balance(hits, per_era=1, top_n=3)
assert [h.metadata["item_key"] for h in out] == ["R5", "R1", "R4"]
def test_deterministic_tiebreak_by_item_key(self):
hits = [
self._rule_hit("Z", 2026, 0.10),
self._rule_hit("A", 2026, 0.10),
]
first = [h.metadata["item_key"] for h in era_balance(hits, per_era=2, top_n=2)]
again = [h.metadata["item_key"] for h in era_balance(hits, per_era=2, top_n=2)]
assert first == again == ["A", "Z"]
def test_dedupes_per_item_key_keeping_best_chunk(self):
hits = [
self._rule_hit("A", 2026, 0.30),
self._rule_hit("A", 2026, 0.05), # better chunk of the same item
]
out = era_balance(hits, per_era=2, top_n=2)
assert len(out) == 1
assert out[0].distance == 0.05
class TestBuildMessages:
def test_includes_labels_kinds_dates_and_rules(self):
sources = [
{
"id": "91 FR 43949 ¶1",
"label": "91 FR 43949 ¶1",
"kind": "rule",
"date": "2026-07-16",
"snippet": "Under this proposal",
"url": "u",
"title": "t",
"docket": "",
"comment_id": "",
"score": 0.9,
},
{
"id": "CMS-2026-2377-1",
"label": "CMS-2026-2377-1",
"kind": "comment",
"date": "2026-08-19",
"snippet": "reduce documentation",
"url": "u",
"title": "t",
"docket": "CMS-2026-2377",
"comment_id": "CMS-2026-2377-1",
"score": 0.8,
},
]
msgs = build_messages("why?", sources)
sys_msg = msgs[0]["content"].lower()
assert msgs[0]["role"] == "system"
assert "only" in sys_msg
assert "don't have information" in sys_msg
assert "most recent" in sys_msg
assert (
"[91 FR 43949 ¶1] (rule, 2026-07-16) Under this proposal"
in msgs[1]["content"]
)
assert "[CMS-2026-2377-1] (comment, 2026-08-19)" in msgs[1]["content"]
assert "why?" in msgs[1]["content"]
def test_no_sources_marks_empty_context(self):
msgs = build_messages("q", [])
assert "no relevant excerpts" in msgs[1]["content"].lower()
def test_evidence_block_between_excerpts_and_question(self):
from llm.evidence import ValuationEvidence
from pfs.valuation import ValuationRow
row = ValuationRow(
code="G0556",
description="d",
vintage="CY2026 final",
year=2026,
proposed=False,
status="A",
work=0.25,
pe_nf=0.22,
pe_f=0.06,
mp=0.02,
total_nf=0.49,
total_f=0.33,
cf=33.4009,
pay_nf=16.37,
pay_f=11.02,
label="[PFS CY2026 Addendum B]",
citation="90 FR 49266",
url="u",
)
ev = ValuationEvidence(("G0556",), ("APCM",), (row,), ())
msgs = build_messages("how much?", [], evidence=ev)
user = msgs[1]["content"]
assert (
user.index("Excerpts:")
< user.index("Valuation (authoritative")
< user.index("Question: how much?")
)
assert "[PFS CY2026 Addendum B] G0556" in user
assert "valuation" in msgs[0]["content"].lower()
assert "do not compute" in msgs[0]["content"].lower()
def test_no_evidence_prompt_unchanged(self):
assert build_messages("q", []) == build_messages("q", [], evidence=None)
assert "Valuation" not in build_messages("q", [])[1]["content"]
def test_lineage_block_between_excerpts_and_valuation(self):
from llm.evidence import ValuationEvidence
le = LineageEvidence(
codes=("G2058",),
families=("CCM",),
events=(
LineageEvent(
"G2058",
2021,
"replaced_by",
(),
("99439",),
"CY2021 PFS final ¶686",
"YBM4IZUS",
686,
0,
"u",
"fr",
True,
"",
),
),
element_diffs=(),
guidance=(),
)
ev = ValuationEvidence(("G2058",), ("CCM",), (), ())
msgs = build_messages("history?", [], evidence=ev, lineage=le)
user = msgs[1]["content"]
assert (
user.index("Excerpts:")
< user.index("Lineage (dated events")
< user.index("Valuation (authoritative")
< user.index("Question: history?")
)
assert "[CY2021 PFS final ¶686] 2021 replaced_by G2058" in user
assert "lineage" in msgs[0]["content"].lower()
assert "cite its bracketed label for every dated claim" in msgs[0]["content"]
def test_lineage_only_no_valuation_block(self):
le = LineageEvidence(
codes=("G2058",), families=(), events=(), element_diffs=(), guidance=()
)
msgs = build_messages("q", [], lineage=le)
user = msgs[1]["content"]
assert "Lineage (dated events" in user
assert "Valuation (authoritative" not in user
def test_no_lineage_prompt_unchanged(self):
assert build_messages("q", []) == build_messages("q", [], lineage=None)
class TestStreamAnswer:
def _pool(self, vram=24.0, serves_big=True):
pool = MagicMock()
pool.acquire_generation.return_value.__enter__.return_value = "http://h1:11434"
pool.vram.return_value = vram
pool.serves.return_value = serves_big
return pool
@patch("llm.rag._engine")
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_yields_tokens_then_sources_then_done(
self, mock_retrieve, MockClient, _lin, _ev, mock_engine
):
src = {
"id": "C1",
"label": "C1",
"kind": "comment",
"snippet": "s",
"score": 0.1,
}
mock_retrieve.return_value = [src]
lines = [
'{"message":{"content":"Doc"},"done":false}',
"", # keep-alive blank line — must be skipped, not parsed
'{"message":{"content":"tors"},"done":false}',
'{"message":{"content":""},"done":true}',
]
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(lines)
pool = self._pool()
events = list(stream_answer("q", cfg=CFG, pool=pool))
pool.check.assert_called_once_with("chat")
# no codes in the question — pgvector is never asked for cited rules
mock_engine.assert_not_called()
mock_retrieve.assert_called_once_with(
"q", cfg=CFG, pool=pool, since="", mode="auto"
)
assert events[0] == {"type": "token", "text": "Doc"}
assert events[1] == {"type": "token", "text": "tors"}
assert events[-2] == {
"type": "sources",
"sources": [src],
"model": "big",
"host": "http://h1:11434",
"mode": "recent",
}
assert events[-1] == {"type": "done"}
body = client.stream.call_args.kwargs["json"]
assert body["model"] == "big"
assert body["options"] == {"num_ctx": 8192}
assert client.stream.call_args.args[1] == "http://h1:11434/api/chat"
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_small_host_uses_baseline_model(self, mock_retrieve, MockClient, _lin, _ev):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":""},"done":true}'])
events = list(stream_answer("q", cfg=CFG, pool=self._pool(vram=12.0)))
assert client.stream.call_args.kwargs["json"]["model"] == "chat"
assert events[-2]["model"] == "chat"
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_since_forwarded(self, mock_retrieve, MockClient, _lin, _ev):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":""},"done":true}'])
list(stream_answer("q", cfg=CFG, pool=self._pool(), since="2025-09-01"))
assert mock_retrieve.call_args.kwargs["since"] == "2025-09-01"
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_mode_forwarded_to_retrieve_and_resolved_onto_sources_event(
self, mock_retrieve, MockClient, _lin, _ev
):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":""},"done":true}'])
events = list(stream_answer("q", cfg=CFG, pool=self._pool(), mode="timeline"))
assert mock_retrieve.call_args.kwargs["mode"] == "timeline"
assert events[-2]["mode"] == "timeline"
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_mode_auto_resolves_to_timeline_for_a_history_question(
self, mock_retrieve, MockClient, _lin, _ev
):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":""},"done":true}'])
events = list(stream_answer("history of CCM", cfg=CFG, pool=self._pool()))
assert mock_retrieve.call_args.kwargs["mode"] == "auto"
assert events[-2]["mode"] == "timeline"
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_http_error_propagates(self, mock_retrieve, MockClient, _lin, _ev):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.raise_for_status.side_effect = RuntimeError("ollama down")
with pytest.raises(RuntimeError, match="ollama down"):
list(stream_answer("q", cfg=CFG, pool=self._pool()))
@patch("llm.rag._manual_sources", return_value=[])
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence")
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_valuation_event_first_and_sources_merged(
self,
mock_retrieve,
MockClient,
_lin,
mock_ev,
mock_cited,
mock_engine,
_manual,
):
from llm.evidence import ValuationEvidence
src = {
"id": "C1",
"label": "C1",
"kind": "comment",
"snippet": "s",
"score": 0.1,
}
cited = {
"id": "89 FR 97710 ¶3",
"label": "89 FR 97710 ¶3",
"kind": "rule",
"snippet": "G0556",
"score": 0.0,
}
mock_retrieve.return_value = [src]
mock_cited.return_value = [cited]
mock_ev.return_value = ValuationEvidence(("G0556",), ("APCM",), (), ())
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
events = list(stream_answer("APCM?", cfg=CFG, pool=self._pool()))
assert events[0]["type"] == "valuation" and events[0]["codes"] == ["G0556"]
assert events[1] == {"type": "token", "text": "x"}
assert events[-2]["sources"] == [src, cited]
mock_cited.assert_called_once_with(
mock_engine.return_value,
("G0556",),
per_code=CFG.code_cited_per_code,
collections=CFG.code_cited_collections,
families=("APCM",),
max_total=CFG.code_cited_max,
)
body = client.stream.call_args.kwargs["json"]
assert "Valuation (authoritative" in body["messages"][1]["content"]
@patch("llm.rag._manual_sources", return_value=[])
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence")
@patch("llm.rag.lineage_evidence")
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_lineage_event_before_valuation_and_tokens(
self,
mock_retrieve,
MockClient,
mock_lin,
mock_ev,
mock_cited,
mock_engine,
_manual,
):
from llm.evidence import ValuationEvidence
mock_retrieve.return_value = []
mock_cited.return_value = []
mock_lin.return_value = LineageEvidence(
codes=("G2058",),
families=("CCM",),
events=(
LineageEvent(
"G2058",
2021,
"replaced_by",
(),
("99439",),
"CY2021 PFS final ¶686",
"YBM4IZUS",
686,
0,
"u",
"fr",
True,
"",
),
),
element_diffs=(),
guidance=(),
)
mock_ev.return_value = ValuationEvidence(("G2058",), ("CCM",), (), ())
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
events = list(stream_answer("history of G2058?", cfg=CFG, pool=self._pool()))
assert [e["type"] for e in events] == [
"lineage",
"valuation",
"token",
"sources",
"done",
]
assert events[0]["codes"] == ["G2058"]
body = client.stream.call_args.kwargs["json"]
content = body["messages"][1]["content"]
assert content.index("Lineage (dated events") < content.index(
"Valuation (authoritative"
)
@patch("llm.rag._manual_sources", return_value=[])
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence")
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_lineage_only_calls_cited_sources_with_lineage_codes(
self, mock_retrieve, MockClient, mock_lin, _ev, mock_cited, mock_engine, _manual
):
mock_retrieve.return_value = []
mock_cited.return_value = []
mock_lin.return_value = LineageEvidence(
codes=("99490", "99491"),
families=("CCM",),
events=(),
element_diffs=(),
guidance=(),
)
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
events = list(stream_answer("CCM history?", cfg=CFG, pool=self._pool()))
assert events[0]["type"] == "lineage"
mock_cited.assert_called_once_with(
mock_engine.return_value,
("99490", "99491"),
per_code=CFG.code_cited_per_code,
collections=CFG.code_cited_collections,
families=("CCM",),
max_total=CFG.code_cited_max,
)
@patch("llm.rag._manual_sources", return_value=[])
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence")
@patch("llm.rag.lineage_evidence")
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_codes_and_families_unioned_when_both_present(
self,
mock_retrieve,
MockClient,
mock_lin,
mock_ev,
mock_cited,
mock_engine,
_manual,
):
from llm.evidence import ValuationEvidence
mock_retrieve.return_value = []
mock_cited.return_value = []
# lineage reaches a code (G2058) with no RVU rows valuation never sees.
mock_lin.return_value = LineageEvidence(
codes=("99490", "G2058"),
families=("CCM",),
events=(),
element_diffs=(),
guidance=(),
)
mock_ev.return_value = ValuationEvidence(("99490",), ("CCM",), (), ())
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
list(stream_answer("CCM and G2058?", cfg=CFG, pool=self._pool()))
mock_cited.assert_called_once_with(
mock_engine.return_value,
("99490", "G2058"),
per_code=CFG.code_cited_per_code,
collections=CFG.code_cited_collections,
families=("CCM",),
max_total=CFG.code_cited_max,
)
@patch("llm.rag._manual_sources")
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence")
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_manual_sources_merged_after_cited_sources(
self,
mock_retrieve,
MockClient,
_lin,
mock_ev,
mock_cited,
mock_engine,
mock_manual,
):
"""#691/#705: the CPT manual's guideline source is a third,
deterministic layer — merged after the retrieved and code-cited
sources, never before them."""
from llm.evidence import ValuationEvidence
src = {
"id": "C1",
"label": "C1",
"kind": "comment",
"snippet": "s",
"score": 0.1,
}
cited = {
"id": "89 FR 97710 ¶3",
"label": "89 FR 97710 ¶3",
"kind": "rule",
"snippet": "G0556",
"score": 0.0,
}
manual = {
"id": "CPT 2024 — Advanced Primary Care Management",
"label": "CPT 2024 — Advanced Primary Care Management",
"kind": "corpus",
"snippet": "guideline text",
"score": 0.0,
}
mock_retrieve.return_value = [src]
mock_cited.return_value = [cited]
mock_manual.return_value = [manual]
mock_ev.return_value = ValuationEvidence(("G0556",), ("APCM",), (), ())
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
events = list(stream_answer("APCM?", cfg=CFG, pool=self._pool()))
assert events[-2]["sources"] == [src, cited, manual]
mock_manual.assert_called_once_with(("APCM",), CFG)
@patch("llm.rag.detect_codes")
@patch("llm.rag._manual_sources", return_value=[])
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence")
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_manual_sources_skips_wide_families(
self,
mock_retrieve,
MockClient,
_lin,
mock_ev,
mock_cited,
mock_engine,
mock_manual,
mock_detect,
):
from llm.evidence import ValuationEvidence
from pfs.families import Detection
mock_retrieve.return_value = []
mock_cited.return_value = []
mock_detect.return_value = Detection(
codes=(), families=("BIGFAM", "APCM"), explicit=(), wide=("BIGFAM",)
)
mock_ev.return_value = ValuationEvidence((), ("BIGFAM", "APCM"), (), ())
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
list(stream_answer("q", cfg=CFG, pool=self._pool()))
mock_manual.assert_called_once_with(("APCM",), CFG)
@patch("llm.rag._manual_sources")
@patch("llm.rag._engine")
@patch("llm.rag.code_cited_sources")
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.lineage_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_no_evidence_no_lineage_never_calls_manual_sources(
self, mock_retrieve, MockClient, _lin, _ev, mock_cited, mock_engine, mock_manual
):
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
resp.iter_lines.return_value = iter(['{"message":{"content":"x"},"done":true}'])
list(stream_answer("q", cfg=CFG, pool=self._pool()))
mock_cited.assert_not_called()
mock_manual.assert_not_called()
@patch("llm.rag.valuation_evidence", return_value=None)
@patch("llm.rag.httpx.Client")
@patch("llm.rag.retrieve")
def test_control_question_events_match_the_no_lineage_baseline(
self, mock_retrieve, MockClient, _ev
):
"""No codes in the question — the real lineage_evidence short-
circuits on an empty Detection without touching the replica, so
its event stream must be byte-identical to one where the feature
is switched off outright (``lineage_evidence`` patched to
``None``)."""
mock_retrieve.return_value = []
client = MockClient.return_value.__enter__.return_value
resp = client.stream.return_value.__enter__.return_value
def _run():
resp.iter_lines.return_value = iter(
['{"message":{"content":"x"},"done":true}']
)
return list(
stream_answer(
"why did CMS finalize this policy?", cfg=CFG, pool=self._pool()
)
)
with_real_lineage = json.dumps(_run())
with patch("llm.rag.lineage_evidence", return_value=None):
with_lineage_off = json.dumps(_run())
assert with_real_lineage == with_lineage_off
class TestManualSourcesWrapper:
"""``_manual_sources`` — the cursor-per-call wrapper around
``evidence.manual_sources`` (mirrors ``valuation_evidence``'s own
cached-replica-cursor pattern)."""
def test_empty_families_short_circuits_without_touching_the_replica(self):
with patch("llm.rag._connect") as mock_connect:
assert rag._manual_sources((), CFG) == []
mock_connect.assert_not_called()
@patch("llm.rag.manual_sources")
@patch("llm.rag._connect")
@patch("llm.rag._replica_path", return_value="/x/aco.ro.duckdb")
def test_opens_a_cursor_calls_through_and_closes_it(
self, _path, mock_connect, mock_manual
):
cur = MagicMock()
mock_connect.return_value.cursor.return_value = cur
mock_manual.return_value = [{"label": "CPT 2024 — X"}]
out = rag._manual_sources(("CCM",), CFG)
assert out == [{"label": "CPT 2024 — X"}]
mock_connect.assert_called_once_with("/x/aco.ro.duckdb")
mock_manual.assert_called_once_with(cur, ("CCM",))
cur.close.assert_called_once() # the cached parent connection stays open
@patch("llm.rag._connect", side_effect=OSError("no replica"))
def test_unopenable_replica_yields_empty(self, _connect, caplog):
assert rag._manual_sources(("CCM",), CFG) == []
assert "manual sources skipped" in caplog.text