访谈与阶段 - 新增 app/agents/stage_constants.py:集中 CHAT_STAGES、章节分类/顺序、阶段到默认 memoir 类别等,与 MemoirState 默认槽位顺序对齐;减少散落在 prompts 内的重复常量。 - 新增 app/agents/chat/prompt_context.py:以 ChatPromptContext 汇总 guided 系统提示所需字段(阶段、槽位、轮次、人设、记忆证据、回复长度模式、背景声线、职业等),统一走 get_guided_conversation_prompt。 - 大幅收敛 app/agents/chat/prompts_conversation.py;调整 prompts.py、stage_prompts.py、stage_detection.py;同步 interview_agent、profile_agent、helpers 与 state_schema,使对话侧构造提示的方式一致、可测。 回忆录流水线 - memoir/prompts.py 删除已迁至 stage_constants / 独立模板的大段常量与图片占位相关逻辑;classification / extraction / fidelity / narrative agents 与 orchest(全量历史仍可用于计数,注入模型时按轮次与字符上限截断)、image_prompt_fallback_disabled。 - dependencies 增加 get_llm_provider_fast(LRU 缓存,可与默认共用密钥与 base_url)。 任务与编排 - memoir_tasks:prepare_batches 注入 llm_fast;开启独立快档模型时打结构化日志。 - chapter_cover_tasks、story_image_tasks:与图片 prompt / JSON 工具路径或策略变更对齐(import 与行为一致)。 - story_pipeline_sync 等小处同步。 其它核心 - langchain_llm、text_normalize 随上述调用链微调。 开发者体验 - .cursor/settings.json:启用 redis-development、postman 插件。 测试 - 新增 test_image_prompt_policy:覆盖「禁止回退」等图片 prompt 策略。 - 更新 test_interview_prompts、test_interview_reply_length、test_experience_regressions、test_json_and_memory_utils,匹配新常量位置、json_utils 与对话/长度行为。
198 lines
6.1 KiB
Python
198 lines
6.1 KiB
Python
"""访谈提示词:追问触发与性格(Persona)拼接回归。"""
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from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
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from app.agents.chat.helpers import format_history_string
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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_total=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 "本轮追问判定" in p
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assert "本轮判定" in p
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def test_guided_prompt_does_not_embed_raw_user_message_in_system_text():
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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="__USER_SECRET_PHRASE_XYZ__",
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conversation_turn_total=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 "__USER_SECRET_PHRASE_XYZ__" not 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_total=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_total=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_total=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_total=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_total=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_total=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_total=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 "先接住对方" 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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def test_format_history_string_includes_system_for_debug_logs() -> None:
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"""log_agent_payload 依赖本函数时需包含 System,避免生产上丢失主 system prompt。"""
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s = format_history_string(
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[
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SystemMessage(content="SYS_INSTRUCTIONS"),
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HumanMessage(content="hi"),
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AIMessage(content="hello"),
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]
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)
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assert "System: SYS_INSTRUCTIONS" in s
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assert "Human: hi" in s
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assert "Assistant: hello" in s
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