JSON mode (answer_mode="claim_lattice") is now reachable end-to-end via runner.ask: message build, optional vLLM guided_json extra_body, verifier dispatch, and providence_cache persistence. Verifier returns verifier_method="claim_lattice" (same as pointer variant) so both modes share the existing CHECK constraint; answer_mode on the run-DAG and json_fixups on the verdict disambiguate. Pointer verifier now splits EVIDENCE_LINKED_PARTIAL into its own partially_verified_quotes bucket so a claim never renders as both a verified bullet and an unverified footer. CLI shows a "partially grounded" section between the verified body and the unverified list.
245 lines
8.1 KiB
Python
245 lines
8.1 KiB
Python
"""JSON-mode claim-lattice verifier (`answer_mode="claim_lattice"`).
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Pairs with grammar-constrained inference (vLLM guided_json, Claude/GPT-4
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native JSON, Qwen 3.6 reasoner). The lenient pre-parser keeps the path
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survivable on inference paths where the model emits non-strict JSON
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(markdown fences, prose preamble, curly quotes, trailing commas).
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"""
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from __future__ import annotations
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import json
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import pytest
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from aborist.qa.evidence import EvidenceObject
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from aborist.qa.verify import _lenient_json_parse, verify_claim_lattice_json
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# ---------------------------------------------------------------- lenient parser
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def test_lenient_strict_passes_through():
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obj, fixups = _lenient_json_parse('{"a": 1}')
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assert obj == {"a": 1}
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assert fixups == []
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def test_lenient_strips_markdown_fence():
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raw = '```json\n{"claims": []}\n```'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "fence" in fixups
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def test_lenient_strips_unlabeled_fence():
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raw = '```\n{"claims": []}\n```'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "fence" in fixups
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def test_lenient_trims_preamble_and_suffix():
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raw = 'Here is the JSON:\n{"claims": []}\nLet me know if you need more.'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "prose_trim" in fixups
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def test_lenient_normalizes_curly_quotes():
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raw = '{“claims”: []}'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "curly_quotes" in fixups
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def test_lenient_fixes_trailing_comma():
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raw = '{"claims": [],}'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "trailing_comma" in fixups
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def test_lenient_combines_multiple_fixups():
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raw = '```json\nHere:\n{“claims”: [],}\n```'
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obj, fixups = _lenient_json_parse(raw)
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assert obj == {"claims": []}
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assert "fence" in fixups
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# At least one of the inner fixups also fired.
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assert any(f in fixups for f in ("curly_quotes", "trailing_comma", "prose_trim"))
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def test_lenient_raises_on_truly_broken():
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with pytest.raises(json.JSONDecodeError):
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_lenient_json_parse("not json at all { ] [")
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# ---------------------------------------------------------------- JSON verifier
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def _ev(eid: str, span: str, role: str = "primary_answer_source") -> EvidenceObject:
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"""Stub evidence object with deterministic eid for the test."""
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return EvidenceObject(
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evidence_id=eid,
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source_root="00" * 32,
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document_uri="test://doc",
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title="Test Doc",
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chunk_idx=0,
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chunk_root="11" * 32,
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offset_start=0,
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offset_end=len(span),
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source_role=role,
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text_hash="22" * 32,
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span=span,
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pointer_id=None,
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)
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def test_verify_json_strict_when_all_claims_resolve():
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evidence = [
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_ev("E1f8e4c2a", "Brachiosaurus appears in the Jurassic Park film as a herbivore."),
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_ev("E2c9d7b3f", "Velociraptor is featured prominently throughout Jurassic Park."),
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]
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answer = json.dumps({
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"claims": [
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{"text": "Brachiosaurus appears in the film", "evidence_ids": ["E1f8e4c2a"]},
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{"text": "Velociraptor is featured", "evidence_ids": ["E2c9d7b3f"]},
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]
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})
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v = verify_claim_lattice_json(answer, evidence)
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assert v["audit_mode"] == "STRICT"
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# Same verifier_method as the pointer variant — disambiguated downstream
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# via `answer_mode` on the run-DAG and `json_fixups` on the verdict.
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assert v["verifier_method"] == "claim_lattice"
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assert v["n_verified"] == 2
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assert v["violations"] == []
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def test_verify_json_hybrid_when_some_unknown_evidence_id():
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evidence = [
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_ev("E1f8e4c2a", "Brachiosaurus appears in the Jurassic Park film as a herbivore."),
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]
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answer = json.dumps({
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"claims": [
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{"text": "Brachiosaurus appears in the film", "evidence_ids": ["E1f8e4c2a"]},
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{"text": "Made-up claim", "evidence_ids": ["EFAKEFAKE"]},
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]
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})
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v = verify_claim_lattice_json(answer, evidence)
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assert v["audit_mode"] == "HYBRID"
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assert any(vio["kind"] == "UNKNOWN_EVIDENCE_ID" for vio in v["violations"])
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def test_verify_json_ungrounded_on_schema_invalid():
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"""Lenient parser fails too → SCHEMA_INVALID → UNGROUNDED."""
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v = verify_claim_lattice_json("not json {[", [])
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assert v["audit_mode"] == "UNGROUNDED"
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assert any(vio["kind"] == "SCHEMA_INVALID" for vio in v["violations"])
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def test_verify_json_recovers_from_markdown_fence():
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"""JSON-fenced output still parses & verifies; fence fixup logged."""
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evidence = [
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_ev("E1f8e4c2a", "Brachiosaurus appears in the Jurassic Park film as a herbivore."),
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]
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answer = (
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'```json\n'
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'{"claims": [{"text": "Brachiosaurus appears in the film", '
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'"evidence_ids": ["E1f8e4c2a"]}]}\n'
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'```'
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)
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v = verify_claim_lattice_json(answer, evidence)
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assert v["audit_mode"] == "STRICT"
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assert "fence" in v["json_fixups"]
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def test_verify_json_manual_quote_violation():
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"""Strict no-double-quote rule — even valid JSON with double quotes
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inside a claim's text field fails MANUAL_QUOTE_VIOLATION."""
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evidence = [
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_ev("E1f8e4c2a", "Brachiosaurus appears in the Jurassic Park film as a herbivore."),
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]
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answer = json.dumps({
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"claims": [
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{
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"text": 'Brachiosaurus is "a herbivore" appears in the film',
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"evidence_ids": ["E1f8e4c2a"],
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}
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]
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})
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v = verify_claim_lattice_json(answer, evidence)
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assert any(vio["kind"] == "MANUAL_QUOTE_VIOLATION" for vio in v["violations"])
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assert v["audit_mode"] == "UNGROUNDED"
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def test_verify_json_blocks_disallowed_source_role():
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"""Evidence resolved but source_role outside the allowlist fails
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SOURCE_ROLE_BLOCKED."""
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evidence = [
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_ev("E1f8e4c2a", "Brachiosaurus content here.", role="noisy_background_source"),
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]
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answer = json.dumps({
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"claims": [
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{"text": "Brachiosaurus appears", "evidence_ids": ["E1f8e4c2a"]},
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]
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})
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v = verify_claim_lattice_json(answer, evidence)
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assert any(vio["kind"] == "SOURCE_ROLE_BLOCKED" for vio in v["violations"])
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assert v["audit_mode"] == "UNGROUNDED"
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# ---------------------------------------------------------------- runner integration
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def test_runner_ask_json_mode_passes_guided_json_extra_body(tmp_path):
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"""`ask()` in JSON mode forwards `extra_body={"guided_json": SCHEMA}`
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through the chat client. Stub captures the kwargs so we can assert."""
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from typing import Iterator
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from aborist.document import Document
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from aborist.ingest import ingest_source
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from aborist.qa import ask
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from aborist.qa.client import StubClient
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from aborist.qa.runner import DEFAULT_POLICY
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from aborist.source import Source
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from aborist.store import connect
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class _FakeSource(Source):
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source_type = "test"
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def __init__(self, docs): self.docs = docs
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def iter_documents(self) -> Iterator[Document]: yield from self.docs
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db = tmp_path / "qa.db"
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conn = connect(db)
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try:
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ingest_source(conn, _FakeSource([
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Document(
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uri="test://doc",
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content="Cloud Strife is the protagonist. " * 30,
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source_type="test",
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title="Cloud",
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)
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]))
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root = conn.execute(
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"SELECT document_root FROM documents WHERE document_uri='test://doc'"
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).fetchone()["document_root"]
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client = StubClient(answer='{"claims":[]}')
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policy = dict(DEFAULT_POLICY)
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policy["answer_mode"] = "claim_lattice"
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ask(
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conn,
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document_root=root,
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question="Who is Cloud?",
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client=client,
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model_id="m",
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policy=policy,
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)
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assert len(client.calls) == 1
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kwargs = client.calls[0]["kwargs"]
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assert "extra_body" in kwargs
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assert kwargs["extra_body"] is not None
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assert "guided_json" in kwargs["extra_body"]
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finally:
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conn.close()
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