The earlier report had no previous-turn rows. This run measures V0, V1, V2, and Flash on the re-extracted corpus and records that the real sample is not representative of the simulated set. Co-authored-by: Cursor <cursoragent@cursor.com>
276 lines
12 KiB
Python
276 lines
12 KiB
Python
"""Offline contracts for the Jev intent-classifier research scripts."""
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from __future__ import annotations
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import json
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import unittest
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from pathlib import Path
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import inspect
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from scripts.research.jev_intent_corpus_build import ( # noqa: E402
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GENERATOR_NAME,
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REVIEWER_NAME,
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build_review_prompt,
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holdout_name_denylist,
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review_sample,
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source_a_samples,
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)
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from scripts.research.jev_intent_questions import (
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CONTINUES_PREVIOUS_TURN_INSTRUCTIONS,
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CRITERION_MAP,
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INTENT_CRITERIA,
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LOST_SEMANTICS,
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build_questions,
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build_state,
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enforce_combo,
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parse_jev_answers,
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)
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from scripts.research.jev_intent_source_b_v2 import attach_previous_turns
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ROOT = Path(__file__).resolve().parents[1]
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class JevIntentQuestionsTests(unittest.TestCase):
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def test_combo_nulls_answer_class_when_not_current_focus(self) -> None:
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parsed = enforce_combo("stop_rectification", "no", True)
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self.assertEqual(parsed["intent"], "stop_rectification")
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self.assertIsNone(parsed["answer_class"])
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self.assertTrue(parsed["has_new_dated_event"])
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def test_combo_rejects_current_focus_without_class(self) -> None:
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parsed = enforce_combo("answer_current_focus", None, False)
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self.assertEqual(parsed["intent"], "unclear")
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self.assertIsNone(parsed["answer_class"])
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def test_questions_match_advanced_json_shape(self) -> None:
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sample = source_a_samples()[0]
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questions = build_questions(sample)
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self.assertEqual(questions["intent"]["type"], "choice")
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self.assertEqual(set(questions["intent"]["criteria"]), set(INTENT_CRITERIA))
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self.assertEqual(questions["answer_class"]["type"], "choice")
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self.assertEqual(questions["has_new_dated_event"]["type"], "noul")
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self.assertIn("true", questions["has_new_dated_event"]["criteria"])
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self.assertIn("false", questions["has_new_dated_event"]["criteria"])
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state = build_state(sample)
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self.assertEqual(set(state), {"current_question", "options", "user_message", "case_status"})
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def test_criterion_map_covers_production_prompts(self) -> None:
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joined = " ".join(row["production"] for row in CRITERION_MAP)
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self.assertIn("不要按 A/B/C/D", joined)
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self.assertIn("通常是回答当前问题", joined)
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self.assertTrue(LOST_SEMANTICS)
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def test_parse_jev_answers_enforces_combo(self) -> None:
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parsed = parse_jev_answers({
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"intent": {"choice": "stop_rectification", "confidence": 0.9, "probabilities": {}},
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"answer_class": {"choice": "no", "confidence": 0.4, "probabilities": {}},
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"has_new_dated_event": {"noul": 0.1},
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})
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self.assertEqual(parsed["intent"], "stop_rectification")
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self.assertIsNone(parsed["answer_class"])
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self.assertEqual(parsed["confidence"], 0.9)
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class JevIntentPreviousTurnTests(unittest.TestCase):
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def test_v1_v2_state_shape_keeps_v0_questions(self) -> None:
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sample = dict(source_a_samples()[0])
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sample["previous_turn"] = {"assistant_message": "上一问", "user_message": "上一句"}
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sample["previous_decision"] = {"intent": "unclear", "answer_class": None}
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v0 = build_state(sample, variant="v0")
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self.assertEqual(set(v0), {"current_question", "options", "user_message", "case_status"})
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v1 = build_state(sample, variant="v1")
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self.assertEqual(v1["previous_turn"], {"assistant_message": "上一问", "user_message": "上一句"})
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self.assertNotIn("previous_decision", v1)
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v2 = build_state(sample, variant="v2")
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self.assertEqual(v2["previous_decision"], {"intent": "unclear", "answer_class": None})
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v0_questions = build_questions(sample)
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v2_questions = build_questions(sample, variant="v2")
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self.assertNotIn("continues_previous_turn", v0_questions)
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self.assertEqual(set(v0_questions["intent"]["criteria"]), set(v2_questions["intent"]["criteria"]))
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self.assertEqual(v2_questions["continues_previous_turn"]["type"], "noul")
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self.assertEqual(
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v2_questions["continues_previous_turn"]["instructions"],
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CONTINUES_PREVIOUS_TURN_INSTRUCTIONS,
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)
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def test_continues_rule_adopts_previous_intent_only_at_threshold(self) -> None:
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answers = {
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"intent": {"choice": "answer_current_focus", "confidence": 0.95, "probabilities": {}},
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"answer_class": {"choice": "yes", "confidence": 0.91, "probabilities": {}},
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"has_new_dated_event": {"noul": 0.1},
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"continues_previous_turn": {"noul": 0.9},
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}
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adopted = parse_jev_answers(
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answers,
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previous_decision={"intent": "unclear", "answer_class": None},
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apply_continue=True,
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)
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self.assertEqual(adopted["intent"], "unclear")
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self.assertIsNone(adopted["answer_class"])
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self.assertTrue(adopted["continued"])
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self.assertEqual(adopted["confidence"], 0.9)
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kept = parse_jev_answers(
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{**answers, "continues_previous_turn": {"noul": 0.89}},
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previous_decision={"intent": "stop_rectification", "answer_class": None},
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apply_continue=True,
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)
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self.assertEqual(kept["intent"], "answer_current_focus")
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self.assertEqual(kept["answer_class"], "yes")
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self.assertFalse(kept["continued"])
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focused = parse_jev_answers(
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answers,
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previous_decision={"intent": "answer_current_focus", "answer_class": "no"},
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apply_continue=True,
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)
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self.assertEqual(focused["intent"], "answer_current_focus")
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self.assertEqual(focused["answer_class"], "no")
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def test_case_first_turn_previous_turn_is_null(self) -> None:
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rows = attach_previous_turns([
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{
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"id": "first",
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"case_id": "case-1",
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"created_at": "2026-09-01T00:00:00Z",
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"user_message": "第一句",
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"assistant_message": "第一答",
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},
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{
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"id": "second",
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"case_id": "case-1",
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"created_at": "2026-09-01T00:01:00Z",
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"user_message": "继续",
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"assistant_message": "第二答",
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},
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{
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"id": "orphan",
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"user_message": "没有案件",
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"assistant_message": "答",
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},
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])
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by_id = {row["id"]: row for row in rows}
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self.assertIsNone(by_id["first"]["previous_turn"])
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self.assertEqual(by_id["first"]["previous_turn_source"], "case_first")
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self.assertEqual(by_id["second"]["previous_turn"], {
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"assistant_message": "第一答",
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"user_message": "第一句",
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})
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self.assertIsNone(by_id["orphan"]["previous_turn"])
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state = build_state(by_id["first"], variant="v1")
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self.assertIsNone(state["previous_turn"])
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self.assertIn("user_message", state)
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def test_closed_focus_is_not_the_current_question(self) -> None:
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from scripts.research.jev_intent_source_b_v2 import prepare_extract
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rows = prepare_extract([
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{
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"turn_id": "open-turn",
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"case_id": "case-1",
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"created_at": "2026-09-02T00:00:00+00:00",
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"user_message": "没有",
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"assistant_message": "记下了",
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"case_status": "collecting_evidence",
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"focus_status": "active",
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"asked_at": "2026-09-01T00:00:00+00:00",
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"resolved_at": None,
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"schema": {"collect": True, "prompt": "有没有换过工作?"},
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},
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{
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"turn_id": "after-close",
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"case_id": "case-1",
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"created_at": "2026-09-03T00:00:00+00:00",
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"user_message": "先看结果",
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"assistant_message": "还在收",
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"case_status": "collecting_evidence",
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"focus_status": "resolved",
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"asked_at": "2026-09-01T00:00:00+00:00",
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"resolved_at": "2026-09-02T12:00:00+00:00",
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"schema": {"collect": True, "prompt": "有没有换过工作?"},
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},
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])
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by_id = {row["turn_id"]: row for row in rows}
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self.assertEqual(by_id["open-turn"]["layer"], "collect")
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self.assertEqual(by_id["open-turn"]["focus"]["current_question"], "有没有换过工作?")
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self.assertEqual(by_id["after-close"]["layer"], "none")
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self.assertIsNone(by_id["after-close"]["focus"])
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self.assertTrue(by_id["after-close"]["focus_stale"])
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self.assertEqual(by_id["after-close"]["previous_turn"]["user_message"], "没有")
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class JevIntentCorpusTests(unittest.TestCase):
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def test_source_a_has_ten_labeled_rows(self) -> None:
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rows = source_a_samples()
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self.assertEqual(len(rows), 10)
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self.assertEqual({row["user_message"] for row in rows} & {"2016年3月入学", "随便吧"}, {"2016年3月入学", "随便吧"})
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for row in rows:
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self.assertIn(row["gold"]["intent"], {
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"answer_current_focus", "provide_new_evidence", "stop_rectification",
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"ask_about_result", "unclear",
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})
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def test_reviewer_does_not_read_gold(self) -> None:
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sample = {
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"layer": "collect",
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"user_message": "没有",
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"focus": {"current_question": "钱的方面,还记得哪年收入明显变过吗?", "options": []},
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"gold": {"intent": "stop_rectification", "answer_class": None, "has_new_dated_event": False},
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"target_before_review": {"intent": "stop_rectification"},
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}
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prompt = build_review_prompt(sample)
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self.assertIn("没有", prompt)
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self.assertIn("钱的方面,还记得哪年收入明显变过吗?", prompt)
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self.assertNotIn("目标", prompt)
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tail = prompt.rsplit("用户回复:", 1)[-1]
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self.assertIn("没有", tail)
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self.assertNotIn("stop_rectification", tail)
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self.assertNotIn("template", GENERATOR_NAME.lower())
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self.assertNotIn("rule", REVIEWER_NAME.lower())
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def test_corpus_build_has_no_literal_word_bank(self) -> None:
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src = (ROOT / "scripts" / "research" / "jev_intent_corpus_build.py").read_text(encoding="utf-8")
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self.assertNotIn("bank = {", src)
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self.assertNotIn('GENERATOR_NAME = "agent-template', src)
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self.assertNotIn('REVIEWER_NAME = "agent-rule', src)
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def test_reviewer_does_not_regex_label(self) -> None:
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src = inspect.getsource(review_sample)
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self.assertNotIn("re.search", src)
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self.assertNotIn("re.match", src)
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self.assertNotIn("STOP_RE", src)
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self.assertIn("complete_chat", src)
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def test_current_instructions_match_production_classifier(self) -> None:
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from scripts.research.jev_intent_current import CHOICE_INSTRUCTIONS, COLLECT_INSTRUCTIONS
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src = (
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ROOT / "frontend" / "src" / "lib" / "rectification-agentic" / "v9" / "turn-intent-classifier.ts"
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).read_text(encoding="utf-8")
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self.assertIn(CHOICE_INSTRUCTIONS, src)
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self.assertIn(COLLECT_INSTRUCTIONS, src)
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def test_simulated_has_no_holdout_names(self) -> None:
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path = ROOT / "scripts" / "research" / "jev_intent_samples" / "simulated.jsonl"
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if not path.is_file():
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self.skipTest("simulated.jsonl not generated yet")
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names = holdout_name_denylist()
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for line in path.read_text(encoding="utf-8").splitlines():
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row = json.loads(line)
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message = row["user_message"]
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for name in names:
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self.assertNotIn(name, message)
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def test_report_json_includes_current_source_b(self) -> None:
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path = ROOT / "docs" / "research" / "jev_intent_2026_09_19.json"
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if not path.is_file():
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self.skipTest("report json not generated yet")
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payload = json.loads(path.read_text(encoding="utf-8"))
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current = (payload.get("metrics") or {}).get("current_source_b")
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self.assertIsNotNone(current)
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self.assertEqual(current["n"], payload["meta"]["source_b_n"])
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self.assertIn("source_b_none_confusion", payload["metrics"])
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if __name__ == "__main__":
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unittest.main()
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