"""面向体验的回归测试：保护「聊得下去」与回忆录文笔两个核心目标。

与 test_interview_prompts 不同，这组测试不绑定已删除的启发式分档；
访谈侧仅验证 prompt 仍包含关键行为指引。
"""

from app.agents.chat.interview_turn_plan import plan_interview_turn
from app.agents.chat.output_rules import chat_output_rules
from app.agents.chat.prompts_conversation import (
    get_guided_conversation_prompt,
    get_opening_prompt,
)
from app.agents.memoir.prompts import (
    get_creative_title_json_prompt,
    get_narrative_editor_system_prompt,
    get_narrative_json_prompt,
)
from app.features.memoir import story_pipeline_sync as sps


class TestChatExperienceRegressions:
    """保护「聊得下去」体验。"""

    def test_guided_prompt_encourages_flexible_followup(self) -> None:
        """模型自主判断追问 vs 承接，不应再出现「本轮判定」硬分支文案。"""
        p = get_guided_conversation_prompt(
            current_stage="childhood",
            empty_slots=["place", "people"],
            filled_slots={},
            detected_user_stage="childhood",
            user_profile_context="",
            persona="default",
        )
        assert "本轮追问判定" not in p
        assert "你自己判断" in p or "该追问" in p

    def test_guided_prompt_topic_switch_not_hardcoded_in_prompt(self) -> None:
        p = get_guided_conversation_prompt(
            current_stage="childhood",
            empty_slots=["place", "people", "emotion"],
            filled_slots={"daily_life": "放学后去河边玩"},
            detected_user_stage="childhood",
            user_profile_context="",
            persona="default",
        )
        assert "聊得差不多了" not in p

    def test_guided_prompt_intro_mentions_connect_first(self) -> None:
        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

    def test_guided_prompt_bans_assistant_autobiographical_claims(self) -> None:
        """避免助手把用户经历说成自己的童年/暗恋等（身份越界）。"""
        p = get_guided_conversation_prompt(
            current_stage="education",
            empty_slots=["school"],
            filled_slots={},
            detected_user_stage="education",
            user_profile_context="",
            persona="default",
        )
        assert "身份边界" in p
        assert "暗恋" in p
        assert "共同回忆" in p
        rules = chat_output_rules()
        assert "助手本人" in rules
        assert "共同回忆" in rules

    def test_opening_prompt_stays_short_task_shape(self) -> None:
        p = get_opening_prompt(
            current_stage="childhood",
            empty_slots_readable=["成长的地方"],
            user_profile_context="",
            persona="default",
        )
        assert "问候" in p
        assert "任务" in p or "具体问题" in p

    def test_followup_her_story_turn_plan_stays_user_perspective_shape(self) -> None:
        """追问第三方故事时：编排仍锁用户视角，并倾向「承接+一问」形状（防助手自传漂移）。"""
        p = plan_interview_turn(
            current_stage="education",
            empty_slots=["school", "city"],
            normalized_user_message="讲讲她的故事吧，后来怎么样了？",
            memory_evidence_text="",
            stage_switched_this_turn=False,
        )
        assert p.subject_owner == "user_only"
        assert p.forbid_first_person_experience is True
        assert p.reply_shape == "ack_then_question"


class TestMemoirStyleRegressions:
    """保护「回忆录有文笔」体验。"""

    def test_title_prompt_allows_literary_expression(self) -> None:
        prompt = get_creative_title_json_prompt(
            stage="childhood",
            emotion="warm",
            slots={"place": "湖南老家", "turning_event": "爷爷背我过河"},
        )
        assert "禁止虚构" in prompt
        assert "平实" not in prompt.lower()

    def test_title_prompt_uses_facts_only_not_plain(self) -> None:
        prompt = get_creative_title_json_prompt(
            stage="childhood",
            emotion="warm",
            slots={"place": "老家"},
        )
        assert "优雅" in prompt or "书面语" in prompt or "文采" in prompt

    def test_narrative_prompt_encourages_literary_quality(self) -> None:
        sys_prompt = get_narrative_editor_system_prompt()
        assert "温度" in sys_prompt or "优雅" in sys_prompt
        assert "画面感" in sys_prompt or "生动" in sys_prompt

    def test_narrative_json_prompt_allows_emotion_rendering(self) -> None:
        prompt = get_narrative_json_prompt(
            stage="childhood",
            slots={"turning_event": "爷爷背我过河"},
            new_content="【本段用户口述】\n那年下大雨，爷爷背我过河，鞋全湿了，他一直笑。",
        )
        assert "文采服务于真实" in prompt or "虚构描写" in prompt

    def test_merge_shrink_only_on_extreme_loss(self) -> None:
        existing = "这是一段已有的故事正文，讲述了童年在河边的回忆。" * 20
        assert len(existing) > 400
        half_content = existing[: len(existing) // 2]
        import json

        raw = json.dumps(
            {"paragraphs": [{"content": half_content}]}, ensure_ascii=False
        )
        out, ft = sps._apply_narrative_fallbacks(
            raw, "新的口述补充", existing, chapter_category="childhood"
        )
        assert ft == "none"