Files
life-echo/api/tests/test_narrative_pipeline.py
Kevin a3f61fcc0f feat(api+app): 对话阶段化、回忆录流水线与客户端会话体验
- DB: segments 用户输入文本(Alembic 0002)
- Chat: 阶段检测/阶段提示/回复限制,编排与访谈/画像 prompts 调整
- Memoir: 忠实度检查 agent,叙事与分类等链路更新
- Core: agent 日志、Alembic 启动、LangChain/日志/配置等
- Story: time_hints;Memory 检索与相关测试
- Expo: 助手头像、会话页与消息拆分、实时会话与文案/i18n
- Docs/scripts/tests: 迁移脚本、LLM JSON/记忆检索文档、新增单测
2026-03-26 12:13:36 +08:00

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"""叙事分区、口述过短回退、配图字数门闸(纯函数/无 DB"""
import pytest
from app.agents.memoir.prompts import format_narrative_user_content
from app.features.memoir import story_pipeline_sync as sps
def test_format_narrative_user_content_oral_only() -> None:
assert format_narrative_user_content("hello", "") == "【本段用户口述】\nhello"
def test_format_narrative_user_content_with_evidence() -> None:
out = format_narrative_user_content("口述A", "摘录B")
assert "【本段用户口述】" in out
assert "口述A" in out
assert "摘录B" in out
assert "非本段口述" in out
def test_should_fallback_to_transcript_short_md(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(sps.settings, "memoir_narrative_fallback_body_ratio", 0.5)
monkeypatch.setattr(sps.settings, "memoir_narrative_fallback_min_chars", 20)
oral = "我一九九九年出生在上海,后来全家搬到苏州生活了好几年。"
assert sps._should_fallback_to_transcript("1999", oral) is True
assert sps._should_fallback_to_transcript(oral, oral) is False
def test_apply_narrative_fallbacks_merge_shrink_appends_oral() -> None:
"""整篇合并 JSON 输出过短:保留旧文并拼本段口述。"""
long_existing = "x" * 500
raw = '{"paragraphs": [{"content": ""}]}'
out = sps._apply_narrative_fallbacks(
raw,
"新口述补充",
existing_for_narrative=long_existing,
existing_chapter_md="",
chapter_category="childhood",
)
assert long_existing in out
assert "新口述补充" in out
def test_apply_narrative_fallbacks_json_too_short_returns_oral(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(sps.settings, "memoir_narrative_fallback_body_ratio", 0.5)
monkeypatch.setattr(sps.settings, "memoir_narrative_fallback_min_chars", 20)
oral = "我1999年出生在上海小学时爷爷常带我去河边散步。"
raw = '{"paragraphs": [{"content": "1999"}]}'
out = sps._apply_narrative_fallbacks(
raw,
oral,
existing_for_narrative="",
existing_chapter_md="",
chapter_category="childhood",
)
assert out.strip() == oral
def test_memoir_image_settings_min_body_field() -> None:
from app.features.memoir.memoir_images.settings import MemoirImageSettings
cfg = MemoirImageSettings(story_image_min_body_chars=799)
assert cfg.story_image_min_body_chars == 799