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283 lines
10 KiB
Python
283 lines
10 KiB
Python
"""Mechanical answer-repair loop.
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`mechanical_repair` applies sidecar repair suggestions (synthetic_elision
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split, trailing_artifact trim, no_overlap remove) to an answer text
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deterministically. The query/ask runners gate this behind
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`policy["repair_enabled"]` and re-verify the repaired text; if the
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post-repair verdict isn't worse, the repaired answer is persisted with
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a `providence_repair` audit event recording the pre→post transition.
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These tests cover:
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- Each repair action produces the right substitution.
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- Idempotence: running repair on already-clean text is a no-op.
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- query() integration: repair_enabled=True can promote HYBRID/quote →
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STRICT/quote on synthetic_elision cases without an extra LLM call.
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- query() default repair_enabled=False leaves answer text untouched.
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"""
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from __future__ import annotations
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from typing import Iterator
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from arborist.document import Document
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from arborist.ingest import ingest_source
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from arborist.qa import query
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from arborist.qa.client import StubClient
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from arborist.qa.repair import mechanical_repair
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from arborist.source import Source
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from arborist.store import connect
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# ---------------------------------------------------------------- mechanical_repair
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def test_mechanical_repair_splits_synthetic_elision():
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"""`"prefix [...] suffix"` (both halves verbatim) becomes
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`"prefix" ... "suffix"`."""
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context = (
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"The film centers on the fictional Isla Nublar, in Costa Rica. "
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"Universal Studios acquired the rights to the novel."
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)
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answer = (
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'The plot states "The film centers on the fictional Isla Nublar [...] '
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'Universal Studios acquired the rights to the novel".'
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)
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bad_quote = (
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"The film centers on the fictional Isla Nublar [...] "
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"Universal Studios acquired the rights to the novel"
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)
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out = mechanical_repair(answer, [bad_quote], context)
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assert len(out["changes"]) == 1
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assert out["changes"][0]["action"] == "split_into_two_quotes"
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# Two separate quoted spans now appear:
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assert '"The film centers on the fictional Isla Nublar"' in out["repaired_text"]
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assert '"Universal Studios acquired the rights to the novel"' in out["repaired_text"]
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# `[...]` no longer appears inside any single quoted span.
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assert "[...]" not in out["repaired_text"]
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def test_mechanical_repair_trims_trailing_citation():
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"""`"prose. (Source: ...)"` becomes `"prose."`."""
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context = (
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"Pikachu can store electricity in its cheeks and release it in "
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"lightning-based attacks. Pikachu evolves from Pichu."
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)
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bad_quote = (
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"Pikachu can store electricity in its cheeks and release it in "
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"lightning-based attacks. (Source: https://en.wikipedia.org/wiki/Pikachu)"
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)
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answer = f'According to source: "{bad_quote}"'
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out = mechanical_repair(answer, [bad_quote], context)
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assert len(out["changes"]) == 1
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assert out["changes"][0]["action"] == "trim_trailing_artifact"
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assert "(Source:" not in out["repaired_text"]
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def test_mechanical_repair_removes_no_overlap_line():
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"""Full-invention spans get the line stripped from the answer."""
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context = "Pikachu is a Pokémon species."
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bad_quote = "The Roman Senate convened in 49 BC to debate Caesar's rebellion"
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answer = (
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"- Pikachu lives in the wild\n"
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f'- "{bad_quote}"\n'
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"- Pichu evolves into Pikachu\n"
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)
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out = mechanical_repair(answer, [bad_quote], context)
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assert len(out["changes"]) == 1
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assert out["changes"][0]["action"] == "remove_claim"
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assert bad_quote not in out["repaired_text"]
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# Other bullets preserved.
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assert "Pikachu lives in the wild" in out["repaired_text"]
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assert "Pichu evolves into Pikachu" in out["repaired_text"]
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def test_mechanical_repair_idempotent_on_clean_text():
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"""No unverified quotes → no change."""
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context = "Cloud is the protagonist."
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answer = 'The source: "Cloud is the protagonist".'
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out = mechanical_repair(answer, [], context)
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assert out["changes"] == []
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assert out["repaired_text"] == answer
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# ---------------------------------------------------------------- query() integration
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class FakeSource(Source):
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source_type = "test"
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def __init__(self, docs):
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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, content):
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return Document(uri=uri, content=content, source_type="test", title=uri.rsplit("/", 1)[-1])
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def test_query_repair_disabled_default_leaves_answer_unchanged(tmp_path):
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"""`policy["repair_enabled"]` defaults to False — answer text in the
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persisted record matches what the LLM produced."""
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main_db = tmp_path / "corpus.db"
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qa_db = tmp_path / "qa.db"
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long_text = (
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"Capitalism is an economic system based on private ownership "
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"of the means of production. " * 20
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)
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docs = [_doc("test://capitalism", long_text)]
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conn = connect(main_db)
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try:
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ingest_source(conn, FakeSource(docs))
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finally:
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conn.close()
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# Answer with a synthetic_elision-style bad quote.
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bad_answer = (
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'"Capitalism is an economic system based on private ownership '
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'[...] of the means of production."'
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)
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result = query(
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question="What is capitalism?",
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qa_db=qa_db,
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chat_client=StubClient(answer=bad_answer),
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model_id="m",
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single_db=main_db,
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)
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# Repair off → answer text unchanged from LLM output.
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qa_conn = connect(qa_db)
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try:
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row = qa_conn.execute(
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"SELECT answer_text FROM providence_cache WHERE cache_key=?",
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(result["cache_key"],),
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).fetchone()
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finally:
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qa_conn.close()
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assert row["answer_text"] == bad_answer
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assert result["repair_changes"] == []
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def test_query_reprompt_rewrites_on_paraphrase_failure(tmp_path):
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"""Re-prompt tier handles cases mechanical declines (paraphrase,
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interior_elision needing semantic judgment). The stub returns a
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failing answer on first call & a clean verbatim quote on the
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second; with `repair_max_reprompts=1`, the system promotes the
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verdict to STRICT and the persisted answer is the re-written one."""
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main_db = tmp_path / "corpus.db"
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qa_db = tmp_path / "qa.db"
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src_text = (
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"Capitalism is an economic system based on private ownership "
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"of the means of production. " * 10
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)
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docs = [_doc("test://capitalism", src_text)]
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conn = connect(main_db)
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try:
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ingest_source(conn, FakeSource(docs))
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finally:
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conn.close()
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# First call: paraphrase inside a quote that won't substring-match
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# AND won't trigger mechanical repair (no [...], no Source-tail, not
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# full invention — clearly a paraphrase).
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bad_answer = (
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'"Capitalism is an economic philosophy based on personal control "'
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'"over production"'
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)
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# Second call (re-prompt): clean verbatim quote.
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good_answer = (
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'"Capitalism is an economic system based on private ownership '
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'of the means of production"'
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)
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class _SeqClient:
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def __init__(self):
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self.calls = []
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self.answers = [bad_answer, good_answer]
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def chat_completion(self, messages, **kw):
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self.calls.append(messages)
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return self.answers[len(self.calls) - 1] if self.calls else self.answers[0]
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client = _SeqClient()
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from arborist.qa.query import DEFAULT_QUERY_POLICY
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policy = dict(DEFAULT_QUERY_POLICY)
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policy["repair_enabled"] = True
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policy["repair_max_reprompts"] = 1
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result = query(
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question="What is capitalism?",
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qa_db=qa_db,
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chat_client=client,
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model_id="m",
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single_db=main_db,
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policy=policy,
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)
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assert len(client.calls) == 2 # one initial + one re-prompt
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assert result["audit_mode"] == "STRICT"
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assert any(
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c["action"] == "reprompt_rewrite" for c in result["repair_changes"]
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)
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def test_query_repair_enabled_promotes_synthetic_elision_to_strict(tmp_path):
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"""With `repair_enabled=True`, the mechanical loop splits a
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`[...]`-elided quote into two verbatim spans, re-verifies, & lands
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STRICT instead of HYBRID. Persisted answer is the repaired text."""
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main_db = tmp_path / "corpus.db"
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qa_db = tmp_path / "qa.db"
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# Source phrase the model will fail to quote verbatim:
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src_text = (
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"Capitalism is an economic system based on private ownership "
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"of the means of production. " * 20
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)
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docs = [_doc("test://capitalism", src_text)]
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conn = connect(main_db)
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try:
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ingest_source(conn, FakeSource(docs))
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finally:
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conn.close()
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bad_answer = (
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'Per the source: "Capitalism is an economic system based on private ownership '
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'[...] of the means of production".'
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)
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# Build a policy variant with repair_enabled=True.
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from arborist.qa.query import DEFAULT_QUERY_POLICY
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policy = dict(DEFAULT_QUERY_POLICY)
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policy["repair_enabled"] = True
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result = query(
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question="What is capitalism?",
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qa_db=qa_db,
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chat_client=StubClient(answer=bad_answer),
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model_id="m",
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single_db=main_db,
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policy=policy,
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)
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# Repair fired & promoted the verdict.
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assert result["pre_repair_audit_mode"] in ("HYBRID", "UNGROUNDED")
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assert result["audit_mode"] == "STRICT"
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assert len(result["repair_changes"]) >= 1
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assert result["repair_changes"][0]["action"] == "split_into_two_quotes"
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# Persisted answer is the REPAIRED text (no `[...]` inside any quote).
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qa_conn = connect(qa_db)
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try:
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row = qa_conn.execute(
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"SELECT answer_text FROM providence_cache WHERE cache_key=?",
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(result["cache_key"],),
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).fetchone()
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# Audit chain has the providence_repair event.
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evt = qa_conn.execute(
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"SELECT event_type, body FROM audit_events "
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"WHERE event_type='providence_repair' ORDER BY seq DESC LIMIT 1"
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).fetchone()
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finally:
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qa_conn.close()
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assert "[...]" not in row["answer_text"]
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assert evt is not None
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assert evt["event_type"] == "providence_repair"
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