feat(report): 报告 PDF 导出管线(Phase A,WeasyPrint 服务端渲染)
- POST /reports/{id}/export:request_key 幂等 + hd_export 日配额三段式(reserve/commit/refund)+ tier2 熔断场景闸(BudgetGuardDep),仅 succeeded 报告可导
- GET /reports/{id}/export/download:归属校验 + 路径收敛(rendered_asset_key 必须落在 report_export_dir 内),FileResponse 携带 UTF-8 文件名
- celery 任务 meida.report.export(cpu 队列):渲染→落盘 var/exports→回写 rendered_asset_key;业务性拒绝(报告状态变化)结案退款不重试,基础设施异常重试一次后兜底结案退款
- packages/report/pdf:Jinja2 模板 + WeasyPrint 渲染器(url_fetcher 全拒外部资源防 SSRF;维度中文名按 DIMENSION_BY_KEY 回填;色板维度渲染色卡)
- 单测 10 例(资格/幂等/并发同键/下载校验/渲染);scripts/seed_pdf_e2e.sql 供本地 E2E 造数
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"""报告 PDF 渲染(Phase A):Jinja2 HTML 模板 + WeasyPrint。
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为什么偏离 TD-12 的 Playwright 方案:本版报告的勾选行 / 色卡 / 置信度条
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用 CSS Paged Media 足以表达,而本环境拉取 Chromium(Microsoft CDN)困难;
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WeasyPrint 纯 Python + Pango,无浏览器依赖、渲染确定性好。代价是复杂
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长图式交互布局表达力弱——Phase B 若要像素级复刻参考长图再评估切回。
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"""
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"""形象报告 PDF 渲染器:result JSONB → PDF bytes(无 I/O,纯内存渲染)。
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输入是 ``rp_report.result``(diagnosis/copy/validation 三段产物),输出
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PDF 字节串;落盘、回写 ``rendered_asset_key`` 归 worker 任务,下载归路由——
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渲染器本身只关心「内容 → 版式」,便于单测与将来换排版。
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安全约定(WeasyPrint 能加载外部资源,等于一个 SSRF 面):
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模板不引用任何外部 URL,且自定义 url_fetcher 对**一切** URL(含 file://)
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直接拒绝——未来模板误加 ``<img src>`` 也只是渲染失败,绝不会把本地文件
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或内网资源打进 PDF。
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维度中文名不在 ``diagnosis.dimensions`` 行内(DimensionResult 只有 key),
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渲染时按 key 回填 ``DIMENSION_BY_KEY`` 的字典定义——PDF 展示口径与流水线
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产物口径各管各的,产物不冗余存展示字段。
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"""
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from __future__ import annotations
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import json
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from collections.abc import Mapping
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from dataclasses import dataclass, field
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from datetime import datetime
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from pathlib import Path
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from typing import Any, NoReturn
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import jinja2
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from weasyprint import HTML
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from packages.report.dimensions import DIMENSION_BY_KEY
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from packages.shared.errors import AppError, ErrorCode
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_TEMPLATE_DIR = Path(__file__).parent / "templates"
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#: 档案摘要页「核心结论」卡片的维度键:体/脸/季 + 风格三件套是报告的画像锚点
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#: (与 copy.py HARD_DIMENSION_KEYS 的取舍同源——这些是用户最先看的结论)。
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_CORE_DIM_KEYS: tuple[str, ...] = (
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"body_shape",
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"face_shape",
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"skin_tone",
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"season_code",
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"gene_style",
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"psyche_style",
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"fusion_style_name",
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"core_goals",
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)
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#: 值里可能带十六进制色、值得渲染成色卡的维度键。
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_SWATCH_DIM_KEYS: frozenset[str] = frozenset(
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{"best_colors", "neutral_colors", "avoid_colors", "hair_color"}
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)
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_env = jinja2.Environment(
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loader=jinja2.FileSystemLoader(_TEMPLATE_DIR),
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autoescape=jinja2.select_autoescape(default=True, default_for_string=True),
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trim_blocks=True,
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lstrip_blocks=True,
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)
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@dataclass(frozen=True, slots=True)
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class ReportPdfMeta:
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"""渲染元信息(报告主体之外的归属字段,由 worker 从 rp_report 行带入)。"""
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report_id: int
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version: int
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generated_at: datetime
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brand: str = "美搭"
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title: str = "个人形象美学报告"
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@dataclass(frozen=True, slots=True)
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class _DimView:
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"""单维度的展示模型:模板保持哑渲染,格式化全部在 Python 侧完成。"""
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number: int
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key: str
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name_cn: str
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value_text: str
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confidence_pct: int | None # skipped 维度无置信度
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evidence: str
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skipped: bool
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swatches: tuple[dict[str, str], ...] = field(default=())
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def _reject_all_urls(url: str, **_options: Any) -> NoReturn:
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"""WeasyPrint url_fetcher:本版模板零外部资源,任何拉取都是 bug 或注入。"""
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raise ValueError(f"PDF 模板不允许加载外部资源:{url!r}")
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def _fmt_scalar(value: Any) -> str:
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if value is None:
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return "—"
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if isinstance(value, bool):
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return "是" if value else "否"
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if isinstance(value, str):
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return value
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if isinstance(value, int | float):
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return str(value)
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return json.dumps(value, ensure_ascii=False)
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def _fmt_value(value: Any) -> str:
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"""维度结论值 → 一行展示文本(枚举/数值/列表/字典都可能出现)。"""
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if isinstance(value, list):
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parts = []
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for item in value:
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if isinstance(item, Mapping):
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# 色卡类条目优先用中文名,其次 hex;其余字典整体 JSON 化。
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parts.append(str(item.get("name_cn") or item.get("hex") or _fmt_scalar(dict(item))))
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else:
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parts.append(_fmt_scalar(item))
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return "、".join(parts) if parts else "—"
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return _fmt_scalar(value)
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def _extract_swatches(key: str, value: Any) -> tuple[dict[str, str], ...]:
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"""色卡维度提取 ``{hex, name}`` 列表;非色卡维度或值形不符时为空。"""
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if key not in _SWATCH_DIM_KEYS or not isinstance(value, list):
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return ()
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swatches: list[dict[str, str]] = []
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for item in value:
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if isinstance(item, Mapping) and isinstance(item.get("hex"), str):
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swatches.append({"hex": item["hex"], "name": str(item.get("name_cn") or "")})
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return tuple(swatches)
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def _build_dimensions(diagnosis: Mapping[str, Any]) -> list[_DimView]:
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raw_dims = diagnosis.get("dimensions") or []
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views: list[_DimView] = []
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for raw in raw_dims:
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if not isinstance(raw, Mapping):
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continue
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key = str(raw.get("key") or "")
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spec = DIMENSION_BY_KEY.get(key)
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skipped = raw.get("status") == "skipped"
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value = raw.get("value")
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confidence = raw.get("confidence")
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views.append(
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_DimView(
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number=int(raw.get("number") or (spec.number if spec else 0)),
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key=key,
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name_cn=spec.name_cn if spec else key or "未知维度",
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value_text="初级版未覆盖" if skipped else _fmt_value(value),
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confidence_pct=None
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if skipped or not isinstance(confidence, int | float)
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else round(float(confidence) * 100),
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evidence=str(raw.get("evidence") or ""),
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skipped=skipped,
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swatches=() if skipped else _extract_swatches(key, value),
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)
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)
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views.sort(key=lambda view: view.number)
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return views
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def render_report_pdf(result: Mapping[str, Any], *, meta: ReportPdfMeta) -> bytes:
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"""渲染一份形象报告 PDF;产物结构不完整即 40900(内容由流水线保证)。
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只对 ``succeeded`` 报告调用(路由/worker 已把关),这里仍校验 copy
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存在——渲染器不知道上游纪律,结构缺口必须在自己手里变成结构化错误,
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而不是 Jinja 渲染一半的 500。
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"""
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copy = result.get("copy")
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diagnosis = result.get("diagnosis")
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if not isinstance(copy, Mapping) or not isinstance(diagnosis, Mapping):
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raise AppError(ErrorCode.STATE_CONFLICT, message="报告内容不完整,无法导出 PDF")
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summary = str(copy.get("summary") or "")
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sections: list[dict[str, Any]] = []
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for section in copy.get("sections") or []:
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if not isinstance(section, Mapping):
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continue
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sections.append(
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{
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"title": str(section.get("title") or ""),
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"paragraphs": [str(p) for p in section.get("paragraphs") or []],
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}
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)
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dimensions = _build_dimensions(diagnosis)
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# 核心卡片按字典键集合挑,保持档案摘要页聚焦画像锚点
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core_keys = set(_CORE_DIM_KEYS)
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core_views = [v for v in dimensions if v.key in core_keys and not v.skipped]
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template = _env.get_template("report.html.j2")
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html = template.render(
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meta=meta,
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date_text=meta.generated_at.strftime("%Y年%m月%d日"),
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summary=summary,
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sections=sections,
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dimensions=dimensions,
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core_dimensions=core_views,
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ok_count=sum(1 for v in dimensions if not v.skipped),
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)
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# weasyprint 的 write_pdf 声明返回 Any(其 typeshed 未收口),按声明类型收窄
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pdf: bytes = HTML(string=html, base_url=None, url_fetcher=_reject_all_urls).write_pdf()
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return pdf
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@@ -0,0 +1,254 @@
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="utf-8">
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<title>{{ meta.brand }} · {{ meta.title }}</title>
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<style>
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/* ── 页面与页脚:A4 分页,页脚带 AI 标识 + 免责语(合规 §合规与安全方案)── */
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@page {
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size: A4;
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margin: 18mm 16mm 22mm 16mm;
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@bottom-center {
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content: "AI 生成内容,仅供参考 · 本报告由人工智能生成,不构成专业形象顾问意见 · 第 " counter(page) " / " counter(pages) " 页";
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font-size: 7.5pt;
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color: #9a8f8a;
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}
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}
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@page cover {
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/* 封面不显示页脚页码,保持仪式感 */
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@bottom-center { content: none; }
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}
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:root {
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--accent: #a03d5a;
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--accent-soft: #f6ecef;
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--ink: #2b2624;
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--muted: #8a807b;
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--line: #e4dbd6;
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}
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* { box-sizing: border-box; }
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html, body {
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margin: 0;
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padding: 0;
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font-family: 'Noto Sans CJK SC', sans-serif;
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color: var(--ink);
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font-size: 10pt;
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line-height: 1.75;
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}
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/* ── 每页水印:fixed 元素在 WeasyPrint 里逐页重复 ─────────────────────── */
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.watermark {
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position: fixed;
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top: 42%;
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left: 8%;
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width: 84%;
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text-align: center;
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transform: rotate(-28deg);
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font-size: 52pt;
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font-weight: bold;
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letter-spacing: 12pt;
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color: rgba(160, 61, 90, 0.07);
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}
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/* ── 封面 ─────────────────────────────────────────────────────────────── */
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.cover {
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page: cover;
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page-break-after: always;
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height: 240mm;
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text-align: center;
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padding-top: 62mm;
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}
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.cover .brand {
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font-size: 15pt;
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letter-spacing: 10pt;
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color: var(--accent);
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margin-bottom: 6mm;
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}
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.cover h1 {
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font-size: 30pt;
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font-weight: bold;
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letter-spacing: 4pt;
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margin: 0 0 10mm 0;
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}
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.cover .rule {
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width: 42mm;
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border-top: 1.2pt solid var(--accent);
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margin: 0 auto 10mm auto;
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}
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.cover .date { color: var(--muted); font-size: 11pt; letter-spacing: 2pt; }
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.cover .version { color: var(--muted); font-size: 9pt; margin-top: 2mm; }
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.cover .ai-badge {
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display: inline-block;
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margin-top: 52mm;
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padding: 2.5mm 8mm;
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border: 1pt solid var(--accent);
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border-radius: 12mm;
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color: var(--accent);
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font-size: 10pt;
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letter-spacing: 3pt;
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}
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/* ── 章节 ─────────────────────────────────────────────────────────────── */
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h2.chapter {
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font-size: 15pt;
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color: var(--accent);
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border-left: 3.5pt solid var(--accent);
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padding-left: 4mm;
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margin: 9mm 0 4mm 0;
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page-break-after: avoid;
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}
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h3.sec-title {
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font-size: 12pt;
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margin: 7mm 0 2.5mm 0;
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page-break-after: avoid;
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}
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p.para { margin: 0 0 3mm 0; text-align: justify; }
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.summary-box {
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background: var(--accent-soft);
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border-radius: 3mm;
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padding: 5mm 6mm;
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margin: 4mm 0 2mm 0;
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page-break-inside: avoid;
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}
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/* ── 核心结论卡片(档案摘要页)────────────────────────────────────────── */
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.core-grid { width: 100%; border-collapse: separate; border-spacing: 2.5mm; }
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.core-card {
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background: #fbf8f7;
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border: 0.6pt solid var(--line);
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border-radius: 2.5mm;
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padding: 3.5mm 4mm;
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width: 50%;
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vertical-align: top;
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page-break-inside: avoid;
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}
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.core-card .dim-name { font-size: 8.5pt; color: var(--muted); letter-spacing: 1pt; }
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.core-card .dim-value { font-size: 11.5pt; font-weight: bold; margin: 1mm 0; }
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.core-card .dim-value::before { content: "✓ "; color: var(--accent); }
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/* ── 置信度条 ─────────────────────────────────────────────────────────── */
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.conf { background: #eee4e0; border-radius: 2mm; height: 2.2mm; width: 26mm; display: inline-block; vertical-align: middle; }
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.conf .fill { background: var(--accent); border-radius: 2mm; height: 2.2mm; }
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.conf-num { font-size: 8pt; color: var(--muted); margin-left: 1.5mm; }
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/* ── 色卡 ─────────────────────────────────────────────────────────────── */
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.swatch { display: inline-block; width: 4.5mm; height: 4.5mm; border-radius: 1mm;
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border: 0.4pt solid #c9bcb6; margin-right: 1mm; vertical-align: middle; }
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.swatch-name { font-size: 8pt; color: var(--muted); margin-right: 2.5mm; }
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/* ── 32 维明细表 ──────────────────────────────────────────────────────── */
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table.dims { width: 100%; border-collapse: collapse; font-size: 8.5pt; margin-top: 3mm; }
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table.dims th {
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background: var(--accent);
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color: #fff;
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font-weight: normal;
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padding: 2mm 2.5mm;
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text-align: left;
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}
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table.dims td {
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border-bottom: 0.5pt solid var(--line);
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padding: 2mm 2.5mm;
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vertical-align: top;
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}
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table.dims tr { page-break-inside: avoid; }
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table.dims tr.skipped td { color: #b3a9a4; background: #faf8f7; }
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.dim-no { color: var(--muted); width: 8mm; }
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.dim-name { width: 24mm; font-weight: bold; }
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.dim-evidence { color: var(--muted); font-size: 8pt; }
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</style>
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</head>
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<body>
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<div class="watermark">AI 生成内容</div>
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<!-- ── 封面 ─────────────────────────────────────────────────────────── -->
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<section class="cover">
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<div class="brand">{{ meta.brand }}</div>
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<h1>{{ meta.title }}</h1>
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<div class="rule"></div>
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<div class="date">{{ date_text }}</div>
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<div class="version">报告编号 {{ meta.report_id }} · 第 {{ meta.version }} 版</div>
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<div class="ai-badge">AI 生成内容</div>
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</section>
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<!-- ── 档案摘要 ───────────────────────────────────────────────────────── -->
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<section>
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<h2 class="chapter">档案摘要</h2>
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{% if summary %}
|
||||
<div class="summary-box">
|
||||
<p class="para" style="margin:0">{{ summary }}</p>
|
||||
</div>
|
||||
{% endif %}
|
||||
{% if core_dimensions %}
|
||||
<table class="core-grid">
|
||||
{% for pair in core_dimensions | batch(2) %}
|
||||
<tr>
|
||||
{% for dim in pair %}
|
||||
<td class="core-card">
|
||||
<div class="dim-name">{{ dim.name_cn }}</div>
|
||||
<div class="dim-value">{{ dim.value_text }}</div>
|
||||
{% if dim.confidence_pct is not none %}
|
||||
<span class="conf"><span class="fill" style="width: {{ dim.confidence_pct }}%"></span></span>
|
||||
<span class="conf-num">置信度 {{ dim.confidence_pct }}%</span>
|
||||
{% endif %}
|
||||
{% for sw in dim.swatches %}
|
||||
<span class="swatch" style="background: {{ sw.hex }}"></span><span class="swatch-name">{{ sw.name }}</span>
|
||||
{% endfor %}
|
||||
</td>
|
||||
{% endfor %}
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</table>
|
||||
{% endif %}
|
||||
</section>
|
||||
|
||||
<!-- ── 正文(copy.sections 全文渲染)───────────────────────────────────── -->
|
||||
{% if sections %}
|
||||
<section>
|
||||
<h2 class="chapter">专属解读</h2>
|
||||
{% for section in sections %}
|
||||
<h3 class="sec-title">{{ loop.index }}. {{ section.title }}</h3>
|
||||
{% for para in section.paragraphs %}
|
||||
<p class="para">{{ para }}</p>
|
||||
{% endfor %}
|
||||
{% endfor %}
|
||||
</section>
|
||||
{% endif %}
|
||||
|
||||
<!-- ── 32 维诊断明细 ──────────────────────────────────────────────────── -->
|
||||
{% if dimensions %}
|
||||
<section>
|
||||
<h2 class="chapter">诊断明细({{ ok_count }}/{{ dimensions | length }} 项已覆盖)</h2>
|
||||
<table class="dims">
|
||||
<thead>
|
||||
<tr><th class="dim-no">#</th><th class="dim-name">维度</th><th>结论</th><th style="width:30mm">置信度</th><th style="width:52mm">依据</th></tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{% for dim in dimensions %}
|
||||
<tr class="{{ 'skipped' if dim.skipped else '' }}">
|
||||
<td class="dim-no">{{ dim.number }}</td>
|
||||
<td class="dim-name">{{ dim.name_cn }}</td>
|
||||
<td>
|
||||
{{ dim.value_text }}
|
||||
{% for sw in dim.swatches %}
|
||||
<span class="swatch" style="background: {{ sw.hex }}"></span><span class="swatch-name">{{ sw.name }}</span>
|
||||
{% endfor %}
|
||||
</td>
|
||||
<td>
|
||||
{% if dim.confidence_pct is not none %}
|
||||
<span class="conf"><span class="fill" style="width: {{ dim.confidence_pct }}%"></span></span>
|
||||
<span class="conf-num">{{ dim.confidence_pct }}%</span>
|
||||
{% else %}—{% endif %}
|
||||
</td>
|
||||
<td class="dim-evidence">{{ dim.evidence }}</td>
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</section>
|
||||
{% endif %}
|
||||
|
||||
</body>
|
||||
</html>
|
||||
Reference in New Issue
Block a user