- 对齐「多智能体收敛」与「回忆录 stories-first / markdown-first」方向:收紧运行时契约、 删除过渡兼容路径与双轨逻辑,并同步更新客户端与文档。 - Chat:以 ChatOrchestrator 为实时编排入口;删除独立 conversation_agent,精简 prompts。 - Memoir:删除 memory_agent;MemoirOrchestrator、classification / story_route 与 prompts 收敛到 prepare_batches + run_story_pipeline_for_category_batch 主链路。 - 将 agents 侧 processor 迁入 feature 层为 background_runner,并移除 features 下重复/过时 processor 封装。 - 新增 history_store,强化「conversation_messages 为 DB 真源、Redis 为缓存」模型。 - 调整 models、repo、service、session_history;精简 WS message_types,重构 pipeline 与 router。 - 移除章节占位、整章再生等旧路径;章节列表与封面逻辑要求 story 关联;收紧 cover 资格与 enqueue。 - helpers、repo、service、router、reading_segment_materialize、story_pipeline_sync、pdf_service 等按 canonical markdown / cover_asset_id 收缩;删除 memoir_images/provider 等冗余。 - tasks:memoir_tasks、chapter_cover_tasks 等大幅瘦身;story_image_tasks 等与当前图片任务对齐。 - core:config、logging、redis、task_tracker 小幅调整。 - auth / user / payment / quota:路由或服务侧删减过时接口或逻辑(如 payment router 行数减少)。 - pyproject.toml、development.sh、.env.example / .env.production、README 等同步说明或变量。 - Alembic 0001_initial_schema 微调(与当前 schema 叙事一致的小改动)。 - 回忆录:types / mappers / api、章节页与 memoir 页与后端契约对齐;markdown-renderer 调整。 - 语音:删除 voice/player,voice-segment-store 相应精简。 - api/tests:删除 conftest 及绝大部分既有测试文件(websocket_baseline、conversation、memoir 图片、PDF、SMS 等),属有意收缩/待按 backend-test-system 重建的信号。 - docs:新增多智能体收敛与移除兼容层计划摘要;更新 story-first 设计、backend-test-system、 multi-agent-refactor-plan、实施总结等。 BREAKING CHANGE: 后端对外契约、回忆录章节字段与若干路由/任务行为已变更;大量 API 测试被移除, CI 若依赖这些用例需按新策略补测或调整流水线。
167 lines
6.0 KiB
Python
167 lines
6.0 KiB
Python
"""
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PDF 生成服务(从 services 迁入 memoir feature)
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"""
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from io import BytesIO
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from typing import List, Optional
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import httpx
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from PIL import Image
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from reportlab.lib.pagesizes import A4
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from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
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from reportlab.lib.units import inch
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from reportlab.pdfbase import pdfmetrics
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from reportlab.pdfbase.cidfonts import UnicodeCIDFont
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from reportlab.platypus import (
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Image as ReportLabImage,
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)
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from reportlab.platypus import (
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PageBreak,
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Paragraph,
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SimpleDocTemplate,
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Spacer,
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)
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from app.core.logging import get_logger
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from app.features.memoir.asset_resolver import (
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collect_asset_ids_from_markdown,
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split_markdown_by_asset_refs,
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strip_image_placeholders,
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)
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from app.features.memoir.chapter_markdown_compose import (
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materialize_chapter_pdf_markdown_from_loaded_chapter,
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)
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from app.features.memoir.helpers import _chapter_markdown
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logger = get_logger(__name__)
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def _chapter_markdown_for_pdf(chapter) -> str:
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"""有 story 编排时 PDF 使用「## 故事名 + 正文」物化;否则沿用章节 canonical。"""
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links = getattr(chapter, "story_links", None) or []
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if links and any(getattr(link, "story", None) for link in links):
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return materialize_chapter_pdf_markdown_from_loaded_chapter(chapter)
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return _chapter_markdown(chapter)
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def _fit_image_size(
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image_bytes: bytes, max_width: float, max_height: float
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) -> tuple[float, float]:
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with Image.open(BytesIO(image_bytes)) as image:
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width, height = image.size
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if width <= 0 or height <= 0:
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return max_width, max_height
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scale = min(max_width / width, max_height / height)
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return width * scale, height * scale
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class PDFService:
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def __init__(self):
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try:
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pdfmetrics.registerFont(UnicodeCIDFont("STSong-Light"))
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self.chinese_font = "STSong-Light"
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except Exception:
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self.chinese_font = "Helvetica"
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async def _fetch_image_bytes(self, url: str) -> bytes | None:
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try:
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async with httpx.AsyncClient(timeout=30) as client:
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response = await client.get(url)
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response.raise_for_status()
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return response.content
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except Exception as exc:
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logger.warning("PDF 图片下载失败: url=%s, error=%s", url, exc)
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return None
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async def generate_pdf(
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self,
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book,
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chapters: List,
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asset_url_map: Optional[dict[str, str]] = None,
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) -> bytes:
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buffer = BytesIO()
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doc = SimpleDocTemplate(buffer, pagesize=A4)
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styles = getSampleStyleSheet()
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title_style = ParagraphStyle(
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"CustomTitle",
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parent=styles["Heading1"],
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fontSize=24,
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spaceAfter=30,
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alignment=1,
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fontName=self.chinese_font,
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)
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heading_style = ParagraphStyle(
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"CustomHeading",
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parent=styles["Heading1"],
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fontSize=18,
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spaceAfter=12,
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fontName=self.chinese_font,
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)
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normal_style = ParagraphStyle(
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"CustomNormal",
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parent=styles["Normal"],
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fontSize=12,
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leading=18,
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fontName=self.chinese_font,
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)
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story = []
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story.append(Paragraph(book.title, title_style))
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story.append(Spacer(1, 0.5 * inch))
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story.append(PageBreak())
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story.append(Paragraph("目录", heading_style))
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story.append(Spacer(1, 0.2 * inch))
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for i, chapter in enumerate(chapters, 1):
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story.append(Paragraph(f"{i}. {chapter.title}", normal_style))
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story.append(PageBreak())
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for chapter in chapters:
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story.append(Paragraph(chapter.title, heading_style))
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story.append(Spacer(1, 0.2 * inch))
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# 有 story_links 时按章节内故事注入 ## 标题(与物化章节正文不含故事标题区分)
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markdown = _chapter_markdown_for_pdf(chapter)
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blocks: list[dict]
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if asset_url_map and collect_asset_ids_from_markdown(markdown):
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blocks = split_markdown_by_asset_refs(
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markdown,
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lambda aid: asset_url_map.get(aid) if asset_url_map else None,
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)
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for b in blocks:
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if b.get("type") == "text":
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b["value"] = strip_image_placeholders(b.get("value") or "")
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else:
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cleaned_markdown = strip_image_placeholders(markdown or "")
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blocks = (
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[{"type": "text", "value": cleaned_markdown}]
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if cleaned_markdown
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else []
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)
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for block in blocks:
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if block["type"] == "text":
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paragraphs = block["value"].split("\n\n")
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for para in paragraphs:
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if para.strip():
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story.append(Paragraph(para.strip(), normal_style))
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story.append(Spacer(1, 0.1 * inch))
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elif block["type"] == "image":
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image_bytes = await self._fetch_image_bytes(block["url"])
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if image_bytes:
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try:
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width, height = _fit_image_size(
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image_bytes,
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max_width=5 * inch,
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max_height=3.75 * inch,
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)
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img = ReportLabImage(
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BytesIO(image_bytes), width=width, height=height
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)
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story.append(img)
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story.append(Spacer(1, 0.2 * inch))
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except Exception as exc:
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logger.warning("PDF 图片嵌入失败: %s", exc)
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story.append(PageBreak())
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doc.build(story)
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buffer.seek(0)
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return buffer.read()
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pdf_service = PDFService()
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