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life-echo/api/tests/test_image_prompt_policy.py

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refactor(agents): 抽取阶段常量与对话上下文;快档 LLM;图片 prompt 可禁止回退 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。
2026-04-02 12:00:00 +08:00
"""MemoirImagePromptService 与 image_prompt_fallback_disabledstory 主图 / 章节封面)。"""
import json
import pytest
from app.features.memoir.memoir_images.prompting import MemoirImagePromptService
from app.features.memoir.memoir_images.settings import MemoirImageSettings
def _svc(llm=None) -> MemoirImagePromptService:
return MemoirImagePromptService(llm=llm, settings=MemoirImageSettings())
def test_story_primary_fallback_uses_placeholder_when_llm_disabled():
from app.features.memoir.memoir_images.image_placeholder_template import (
IMAGE_PLACEHOLDER_TEMPLATE,
)
out = _svc(llm=None).build_story_primary_prompt(
"My Story", "career", "rainy street", None
)
assert IMAGE_PLACEHOLDER_TEMPLATE in out["prompt"]
assert "rainy street" in out["prompt"]
def test_story_primary_fallback_disabled_requires_brief(monkeypatch):
monkeypatch.setattr(
"app.features.memoir.memoir_images.prompting.settings.image_prompt_fallback_disabled",
True,
)
with pytest.raises(RuntimeError, match="prompt_brief"):
_svc(llm=None).build_story_primary_prompt("T", "career", "", None)
def test_story_primary_style_from_chapter_category_when_no_intent_style():
"""Story.stage 存章节 category 时,未指定 style_profile 应走 CATEGORY_STYLE_MAP。"""
out = _svc(llm=None).build_story_primary_prompt("T", "career_early", "brief", None)
assert out["style"] == "realistic"
def test_story_primary_style_from_chat_stage_when_no_intent_style():
out = _svc(llm=None).build_story_primary_prompt("T", "career", "brief", None)
assert out["style"] == "realistic"
def test_story_primary_fallback_disabled_requires_llm(monkeypatch):
monkeypatch.setattr(
"app.features.memoir.memoir_images.prompting.settings.image_prompt_fallback_disabled",
True,
)
with pytest.raises(RuntimeError, match="requires LLM"):
_svc(llm=None).build_story_primary_prompt("T", "career", "brief", None)
def test_story_primary_llm_path(monkeypatch):
class _FakeLlm:
def invoke(self, *_a, **_kw): # noqa: ANN001
raise AssertionError("invoke should not be used")
captured: dict[str, str] = {}
def fake_invoke_json(llm, prompt_text, **_kw): # noqa: ANN001
captured["prompt_text"] = prompt_text
return json.dumps(
{
"prompt": "A hero scene at dawn",
"style": "watercolor",
"size": "1280x720",
}
)
monkeypatch.setattr(
"app.features.memoir.memoir_images.prompting.invoke_json_object",
fake_invoke_json,
)
out = _svc(llm=_FakeLlm()).build_story_primary_prompt(
"Title", "childhood", "memo", "realistic"
)
assert out["prompt"].lower().startswith("watercolor")
assert "dawn" in out["prompt"].lower()
assert out["style"] == "watercolor"
raw = captured.get("prompt_text", "")
assert "Title" in raw and "memo" in raw
def test_cover_fallback_uses_service_template_when_llm_disabled():
out = _svc(llm=None).build_cover_prompt(
chapter_title="Ch1",
chapter_category="family",
context_excerpt="mountain lake",
)
assert "mountain lake" in out["prompt"].lower()
assert (
"chapter cover" in out["prompt"].lower()
or "illustration" in out["prompt"].lower()
)
def test_cover_fallback_when_excerpt_empty(monkeypatch):
monkeypatch.setattr(
"app.features.memoir.memoir_images.prompting.settings.image_prompt_fallback_disabled",
False,
)
out = _svc(llm=None).build_cover_prompt(
chapter_title="",
chapter_category="family",
context_excerpt="",
)
assert len(out["prompt"]) > 20
def test_cover_fallback_disabled_requires_excerpt(monkeypatch):
monkeypatch.setattr(
"app.features.memoir.memoir_images.prompting.settings.image_prompt_fallback_disabled",
True,
)
with pytest.raises(RuntimeError, match="context_excerpt"):
_svc(llm=None).build_cover_prompt(
chapter_title="T",
chapter_category="family",
context_excerpt="",
)
def test_image_prompt_orchestrator_provider_failure_uses_fallback(monkeypatch):
from app.agents.image_prompt.orchestrator import get_image_prompt_orchestrator
class BoomGateway:
def langchain_llm_for(self, *_a, **_kw): # noqa: ANN001
raise RuntimeError("provider missing")
monkeypatch.setattr(
"app.agents.image_prompt.orchestrator.settings.image_prompt_fallback_disabled",
False,
)
monkeypatch.setattr("app.core.llm_gateway.LlmGateway", lambda: BoomGateway())
orch = get_image_prompt_orchestrator()
out = orch.build_cover_prompt(
chapter_title="T",
chapter_category="family",
context_excerpt="mountain lake",
)
assert "mountain lake" in out["prompt"].lower()
def test_image_prompt_orchestrator_provider_failure_raises_when_disabled(
monkeypatch,
):
from app.agents.image_prompt.orchestrator import get_image_prompt_orchestrator
class BoomGateway:
def langchain_llm_for(self, *_a, **_kw): # noqa: ANN001
raise RuntimeError("provider missing")
monkeypatch.setattr(
"app.agents.image_prompt.orchestrator.settings.image_prompt_fallback_disabled",
True,
)
monkeypatch.setattr("app.core.llm_gateway.LlmGateway", lambda: BoomGateway())
with pytest.raises(RuntimeError, match="provider missing"):
get_image_prompt_orchestrator()