life-echo/api/tests/test_interview_prompts.py

"""访谈提示词：精简结构与人格/语气融合回归。"""

from langchain_core.messages import AIMessage, HumanMessage, SystemMessage

from app.agents.chat.interview_state_hints import (
    apply_duplicate_question_guard,
    extract_scene_cues,
)
from app.agents.state_schema import KnownFact, MemoirStateSchema, PersonaThread, default_slots
from app.agents.chat.helpers import format_history_string
from app.agents.chat.personas import normalize_interview_persona
from app.agents.chat.prompts_conversation import (
    get_guided_conversation_prompt,
    get_opening_prompt,
)


def test_guided_prompt_does_not_embed_raw_user_message_in_system_text():
    p = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="",
        persona="default",
    )
    assert "__USER_SECRET_PHRASE_XYZ__" not in p
    # Signature no longer takes user_message; secret would only leak via profile
    p2 = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="__USER_SECRET_PROFILE__",
        persona="default",
    )
    assert "__USER_SECRET_PROFILE__" in p2


def test_guided_prompt_mentions_empathy_and_scene_strategy():
    p = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="",
        persona="default",
    )
    assert "接住" in p
    assert "画面" in p or "细节" in p
    assert "深挖" in p
    assert "串联" in p


def test_guided_prompt_era_popculture_open_questions_when_birth_year():
    p = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="",
        persona="default",
        profile_birth_year=1985,
        profile_era_place="潍坊",
    )
    assert "时代与氛围参考" in p
    assert "流行文化" in p
    assert "开放式" in p


def test_opening_prompt_includes_era_task_when_birth_year_configured():
    p = get_opening_prompt(
        current_stage="childhood",
        empty_slots_readable=["成长的地方"],
        user_profile_context="出生年份：1985年",
        persona="default",
        profile_birth_year=1985,
        profile_era_place="潍坊",
    )
    assert "年代氛围" in p


def test_guided_prompt_persona_tone_warm_listener():
    p = get_guided_conversation_prompt(
        current_stage="education",
        empty_slots=["school"],
        filled_slots={},
        detected_user_stage="education",
        user_profile_context="",
        persona="warm_listener",
    )
    assert "倾听" in p or "柔和" in p


def test_guided_prompt_persona_curious_guide():
    p = get_guided_conversation_prompt(
        current_stage="education",
        empty_slots=["school"],
        filled_slots={},
        detected_user_stage="education",
        user_profile_context="",
        persona="curious_guide",
    )
    assert "细节" in p


def test_normalize_interview_persona_unknown_falls_back():
    assert normalize_interview_persona("not_a_real_persona") == "default"
    assert normalize_interview_persona("") == "default"


def test_guided_prompt_contains_memory_section_when_evidence():
    p = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="",
        persona="default",
        memory_evidence_text="[摘要:rolling] 1990年生于上海。",
    )
    assert "相关记忆摘录" in p
    assert "过往口述" in p
    assert "1990年生于上海" in p


def test_guided_prompt_military_tone_in_system():
    p = get_guided_conversation_prompt(
        current_stage="childhood",
        empty_slots=["place"],
        filled_slots={},
        detected_user_stage="childhood",
        user_profile_context="",
        persona="default",
        background_voice="military",
    )
    assert "简洁" in p or "利落" in p or "得体" in p


def test_guided_prompt_includes_known_facts_persona_threads_and_recent_questions():
    p = get_guided_conversation_prompt(
        current_stage="career",
        empty_slots=["job", "decision"],
        filled_slots={"growth": "越做越确定自己适合产品"},
        detected_user_stage="career",
        user_profile_context="",
        persona="default",
        known_facts=[
            KnownFact(label="本轮新信息", value="我后来去了瑞士读书", stage="education"),
        ],
        persona_threads=[
            PersonaThread(trait="执着坚持", evidence="为了训练咬牙坚持了很多年"),
        ],
        recent_questions=["你当时为什么会想去瑞士？"],
    )
    assert "已确认事实" in p
    assert "我后来去了瑞士读书" in p
    assert "人物主线" in p
    assert "执着坚持" in p
    assert "最近已经问过的问题" in p
    assert "为什么会想去瑞士" in p


def test_prompt_empty_slots_excludes_slots_already_covered_by_known_facts():
    state = MemoirStateSchema(
        stage_order=["education"],
        current_stage="education",
        covered_stages=[],
        slots={"education": default_slots()["education"]},
        known_facts=[
            KnownFact(
                label="求学城市",
                value="后来在瑞士读书",
                stage="education",
                slot_name="city",
            )
        ],
    )
    assert "city" not in state.prompt_empty_slots_for_current_stage()
    assert "school" in state.prompt_empty_slots_for_current_stage()


def test_duplicate_question_guard_downgrades_recent_repeat_question():
    state = MemoirStateSchema(
        stage_order=["education"],
        current_stage="education",
        covered_stages=[],
        slots={"education": default_slots()["education"]},
        known_facts=[
            KnownFact(label="本轮新信息", value="我后来去了瑞士读书", stage="education")
        ],
    )
    cleaned, touched = apply_duplicate_question_guard(
        ["我记住了。你后来去了瑞士读书吗？"],
        state=state,
        recent_questions=["你后来去了瑞士读书吗？"],
    )
    assert touched is True
    assert cleaned == ["我记住了。"]


def test_extract_scene_cues_picks_up_sensory_keywords():
    cues = extract_scene_cues("我们小时候在河里游泳，冬天溜冰")
    assert any("凉" in c or "水" in c for c in cues)
    assert any("冰" in c or "咔嚓" in c for c in cues)


def test_extract_scene_cues_empty_for_abstract_text():
    assert extract_scene_cues("我觉得人生需要坚持") == []


def test_default_persona_now_has_tone_hint():
    from app.agents.chat.personas import get_interview_persona_tone_hint
    hint = get_interview_persona_tone_hint("default")
    assert hint
    assert "画面" in hint or "细节" in hint


def test_opening_prompt_military_style_rules_not_dialogue_samples() -> None:
    p = get_opening_prompt(
        current_stage="childhood",
        empty_slots_readable=["成长的地方"],
        user_profile_context="",
        persona="default",
        background_voice="military",
    )
    assert "军队相关" in p
    assert "示例" not in p


def test_format_history_string_includes_system_for_debug_logs() -> None:
    s = format_history_string(
        [
            SystemMessage(content="SYS_INSTRUCTIONS"),
            HumanMessage(content="hi"),
            AIMessage(content="hello"),
        ]
    )
    assert "System: SYS_INSTRUCTIONS" in s
    assert "Human: hi" in s
    assert "Assistant: hello" in s


def test_format_history_string_omit_system_body() -> None:
    s = format_history_string(
        [
            SystemMessage(content="SYS_INSTRUCTIONS"),
            HumanMessage(content="hi"),
        ],
        omit_system_body=True,
    )
    assert "SYS_INSTRUCTIONS" not in s
    assert "System: <omitted total_len=16" in s
    assert "sha12=" in s
    assert "Human: hi" in s