Chat 访谈 - 新增 persona 系统(default / warm_listener / curious_guide)与 background_voice 语气层 - 回复长度由 compute_reply_plan 统一决策(brief / standard / expanded),融合信息密度启发式 - 输入净稿(input_normalize):编排层可选 rules/llm 归一用户口语后再喂模型与记忆检索 - 记忆证据注入:按用户话检索 memory evidence 并注入 prompt Memoir 回忆录 - 口述归一(oral_normalize):segment 原文保留,story 管线取派生净稿作叙事输入 - segment 入队批次门闸:累计字数 + 最长等待秒数,减少零碎提交 - fidelity_check / prompts / narrative_agent 微调 - Alembic 0005:清理跨章节 story 外键 Infra - Dockerfile 加入 ffmpeg - pyproject.toml 新增依赖并同步 uv.lock - .env.example / .env.production 补全新配置项 Tests - 新增 test_background_voice、test_chat_input_normalize、test_experience_regressions - 扩展 test_interview_prompts、test_interview_reply_length、test_story_route_oral_invariant Made-with: Cursor
165 lines
5.0 KiB
Python
165 lines
5.0 KiB
Python
"""访谈提示词:追问触发与性格(Persona)拼接回归。"""
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from app.agents.chat.personas import normalize_interview_persona
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from app.agents.chat.prompts_conversation import (
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get_guided_conversation_prompt,
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get_opening_prompt,
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)
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def test_guided_prompt_contains_mandatory_followup_when_heuristic_matches():
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place", "people"],
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filled_slots={},
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user_message="厉害吧 那个女生叫娟娟",
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conversation_turn=1,
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same_topic_turns=1,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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)
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assert "什么时候追问" in p
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assert "本轮判定" in p
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def test_guided_prompt_persona_curious_guide():
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p = get_guided_conversation_prompt(
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current_stage="education",
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empty_slots=["school"],
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filled_slots={},
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user_message="还行吧",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="education",
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user_profile_context="",
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persona="curious_guide",
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)
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assert "好奇引导" in p
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def test_normalize_interview_persona_unknown_falls_back():
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assert normalize_interview_persona("not_a_real_persona") == "default"
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assert normalize_interview_persona("") == "default"
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def test_guided_prompt_contains_memoir_orientation():
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="后来我就去上班了",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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)
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assert "对话方向" in p
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assert "人生故事" in p
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def test_guided_prompt_contains_memory_section_when_evidence():
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="后来我就去上班了",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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memory_evidence_text="[摘要:rolling] 1990年生于上海。",
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)
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assert "相关记忆摘录" in p
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assert "过往口述" in p
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assert "1990年生于上海" in p
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def test_guided_prompt_chit_chat_hint():
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="今天天气真好哈哈",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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)
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assert "偏闲聊" in p
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def test_guided_prompt_reply_length_section_explicit_expanded():
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="还行吧",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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reply_length_mode="expanded",
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)
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assert "本轮回复长度" in p
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assert "当前档位:expanded" in p
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assert "expanded" in p
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def test_guided_prompt_reply_length_explicit_brief():
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"""档位由 Agent 的 ReplyPlan 传入,prompt 不再自行推导。"""
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="嗯",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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reply_length_mode="brief",
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)
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assert "当前档位:brief" in p
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def test_guided_prompt_background_voice_military() -> None:
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p = get_guided_conversation_prompt(
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current_stage="childhood",
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empty_slots=["place"],
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filled_slots={},
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user_message="后来我就去上班了",
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conversation_turn=0,
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same_topic_turns=0,
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all_stages_coverage=None,
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detected_user_stage="childhood",
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user_profile_context="",
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persona="default",
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background_voice="military",
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)
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assert "背景语气:军队语境" in p
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assert "真诚承接" in p
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def test_opening_prompt_military_has_examples_note() -> None:
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p = get_opening_prompt(
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current_stage="childhood",
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empty_slots_readable=["成长的地方"],
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user_profile_context="",
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persona="default",
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background_voice="military",
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)
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assert "军队语境" in p
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assert "(军队语境:简洁" in p or "军队语境" in p
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