ac436b87a2
- MemoryService 异步路径委托 MemoryIngestService / MemoryRetrievalService；富化派发经 MemoryEnrichmentScheduler - WebSocket pipeline 经 ChatTurnService 与显式 DTO 编排单轮对话；回忆录片段入队由 MemoirIngestScheduler 封装 - 新增 LlmGateway（LlmUseCase），各 agent、任务与适配器对齐 ports - 补充 memory 提示适配、runtime 类型、memory-retrieval 文档、ai-touchpoints 说明与扫描脚本及配套测试 Made-with: Cursor
81 lines
2.7 KiB
Python
81 lines
2.7 KiB
Python
"""
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ImagePromptOrchestrator：图片提示词生成编排器。
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根据调用方（封面/正文）选择 build_prompt 或 build_cover_prompt；
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统一异常处理和回退；内部委托 PromptGenerationAgent。
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"""
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from __future__ import annotations
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from typing import Any, Optional
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from app.agents.image_prompt.prompt_agent import PromptGenerationAgent
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from app.features.memoir.memoir_images.settings import MemoirImageSettings
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class ImagePromptOrchestrator:
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"""
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图片提示词编排器。
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区分封面 vs 正文配图，统一调用 PromptGenerationAgent；
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异常与回退由 PromptGenerationAgent（底层 MemoirImagePromptService）处理。
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"""
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def __init__(self, llm: Optional[Any], settings: MemoirImageSettings) -> None:
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self._agent = PromptGenerationAgent(llm=llm, settings=settings)
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def build_prompt(
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self,
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chapter_title: str,
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chapter_category: str,
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description: str,
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context_excerpt: str,
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) -> dict[str, str]:
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"""
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生成正文配图的 prompt。
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委托 PromptGenerationAgent，已含 LLM 调用失败时的 fallback 逻辑。
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"""
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return self._agent.build_prompt(
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chapter_title=chapter_title,
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chapter_category=chapter_category,
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description=description,
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context_excerpt=context_excerpt,
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)
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def build_cover_prompt(
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self,
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chapter_title: str,
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chapter_category: str,
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context_excerpt: str,
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) -> dict[str, str]:
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"""
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生成章节封面的 prompt。
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委托 PromptGenerationAgent，已含 LLM 调用失败时的 fallback 逻辑。
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"""
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return self._agent.build_cover_prompt(
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chapter_title=chapter_title,
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chapter_category=chapter_category,
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context_excerpt=context_excerpt,
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)
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def build_story_primary_prompt(
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self,
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story_title: str,
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story_stage: str | None,
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prompt_brief: str,
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style_profile: str | None,
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) -> dict[str, str]:
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"""生成 story 主插图的 prompt。"""
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return self._agent.build_story_primary_prompt(
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story_title=story_title,
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story_stage=story_stage,
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prompt_brief=prompt_brief,
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style_profile=style_profile,
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)
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def get_image_prompt_orchestrator() -> ImagePromptOrchestrator:
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"""Celery / 后台任务入口：统一装配 LLM 与 MemoirImageSettings。"""
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from app.core.llm_gateway import LlmGateway, LlmUseCase
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llm = LlmGateway().langchain_llm_for(LlmUseCase("image_prompt"))
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return ImagePromptOrchestrator(llm=llm, settings=MemoirImageSettings.from_env())
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