life-echo/api/tests/test_memoir_skip_story.py

"""回忆录：segment_skip_story_ids 与 batch 级短路条件（orchestrator 侧）。"""

from types import SimpleNamespace
from unittest.mock import MagicMock

import pytest

from app.agents.memoir.batch_phase1_prep import BatchPhase1SegmentRow
from app.agents.memoir.classification_agent import (
    ChapterClassifyResult,
    ClassificationAgent,
)
from app.agents.memoir.extraction_agent import ExtractionResult
from app.agents.memoir.orchestrator import MemoirOrchestrator
from app.agents.stage_constants import CHAT_STAGES
from app.agents.state_schema import DEFAULT_STAGE_ORDER, MemoirStateSchema


def _empty_state() -> MemoirStateSchema:
    """与生产默认一致的五阶段 stage_order（计划 §5-C 全量阶段管道覆盖）。"""
    assert list(CHAT_STAGES) == DEFAULT_STAGE_ORDER
    return MemoirStateSchema(
        stage_order=list(CHAT_STAGES),
        current_stage="childhood",
        covered_stages=[],
        slots={},
    )


def test_prepare_batches_skip_story_id_when_llm_none_and_empty_slots() -> None:
    orch = MemoirOrchestrator()
    orch.extraction_agent.extract = MagicMock(
        return_value=ExtractionResult(detected_stage="career", slots={})
    )
    orch.classification_agent.classify = MagicMock(
        return_value=ChapterClassifyResult(category="summary", llm_said_none=True)
    )
    st = _empty_state()

    def get_state() -> MemoirStateSchema:
        return st

    def update_slot(
        stage: str, slot_name: str, snippet: str, seg_ids: list[str]
    ) -> MemoirStateSchema:
        return st

    seg = SimpleNamespace(id="seg-skip-1", user_input_text="聊聊别的吧")
    p = orch.prepare_batches(
        segments=[seg],
        llm=MagicMock(),
        get_or_create_state=get_state,
        update_slot=update_slot,
    )
    assert "seg-skip-1" in p.segment_skip_story_ids


def test_prepare_batches_fragment_heuristic_not_in_skip_set() -> None:
    """fragment-only→summary 且 llm_said_none=False，不进入 skip 集合。"""
    orch = MemoirOrchestrator()
    orch.extraction_agent.extract = MagicMock(
        return_value=ExtractionResult(detected_stage="career", slots={})
    )
    orch.classification_agent = ClassificationAgent()
    st = _empty_state()

    def get_state() -> MemoirStateSchema:
        return st

    def update_slot(
        stage: str, slot_name: str, snippet: str, seg_ids: list[str]
    ) -> MemoirStateSchema:
        return st

    seg = SimpleNamespace(id="seg-frag-1", user_input_text="1999年出生")
    p = orch.prepare_batches(
        segments=[seg],
        llm=None,
        get_or_create_state=get_state,
        update_slot=update_slot,
    )
    assert "seg-frag-1" not in p.segment_skip_story_ids


def test_prepare_batches_mixed_batch_only_one_segment_in_skip_set() -> None:
    """同 category 两段：仅一段满足 skip 条件 → skip 集合仅含该段 id。"""
    orch = MemoirOrchestrator()
    orch.extraction_agent.extract = MagicMock(
        side_effect=[
            ExtractionResult(detected_stage="career", slots={}),
            ExtractionResult(detected_stage="career", slots={"job": "戏剧演员"}),
        ]
    )
    orch.classification_agent.classify = MagicMock(
        side_effect=[
            ChapterClassifyResult(category="summary", llm_said_none=True),
            ChapterClassifyResult(category="summary", llm_said_none=False),
        ]
    )
    st = _empty_state()

    def get_state() -> MemoirStateSchema:
        return st

    def update_slot(
        stage: str, slot_name: str, snippet: str, seg_ids: list[str]
    ) -> MemoirStateSchema:
        return st

    s1 = SimpleNamespace(id="mix-1", user_input_text="聊聊别的吧")
    s2 = SimpleNamespace(id="mix-2", user_input_text="后来当了演员")
    p = orch.prepare_batches(
        segments=[s1, s2],
        llm=MagicMock(),
        get_or_create_state=get_state,
        update_slot=update_slot,
    )
    assert p.segment_skip_story_ids == {"mix-1"}
    assert len(p.category_to_segments.get("summary", [])) == 2


def test_prepare_batches_batch_llm_path_matches_per_segment_skip_logic(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        "app.agents.memoir.orchestrator.settings.memoir_phase1_batch_llm_enabled",
        True,
    )

    def fake_batch(
        segments: list,
        state: MemoirStateSchema,
        llm: object,
    ) -> dict:
        return {
            "mix-1": BatchPhase1SegmentRow(
                detected_stage="career",
                slots={},
                chapter_category_raw="none",
            ),
            "mix-2": BatchPhase1SegmentRow(
                detected_stage="career",
                slots={"job": "戏剧演员"},
                chapter_category_raw="summary",
            ),
        }

    monkeypatch.setattr(
        "app.agents.memoir.orchestrator.run_batch_phase1_prep",
        fake_batch,
    )
    orch = MemoirOrchestrator()
    st = _empty_state()

    def get_state() -> MemoirStateSchema:
        return st

    def update_slot(
        stage: str, slot_name: str, snippet: str, seg_ids: list[str]
    ) -> MemoirStateSchema:
        return st

    s1 = SimpleNamespace(id="mix-1", user_input_text="聊聊别的吧")
    s2 = SimpleNamespace(id="mix-2", user_input_text="后来当了演员")
    p = orch.prepare_batches(
        segments=[s1, s2],
        llm=MagicMock(),
        get_or_create_state=get_state,
        update_slot=update_slot,
    )
    assert p.segment_skip_story_ids == {"mix-1"}
    assert len(p.category_to_segments.get("summary", [])) == 2


def test_batch_all_skip_predicate() -> None:
    """memoir_tasks 短路条件：batch_ids <= skip_ids。"""
    batch_ids = {"a", "b"}
    skip_ids = {"a"}
    assert not (batch_ids <= skip_ids)
    assert {"a"} <= {"a", "b"}
    assert {"a", "b"} <= {"a", "b"}