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
This commit is contained in:
@@ -32,6 +32,9 @@ htmlcov/
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logs/
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tmp/
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# PDF 导出等本地落盘产物（不进库；线上应对接对象存储，Phase B 再处理）
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var/
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# 算法 SPIKE 的模型缓存与输出（模型文件绝不入库）
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models/
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scripts/spikes/out/
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@@ -191,6 +191,21 @@ def storage_service_dep(settings: SettingsDep) -> StorageService:
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return StorageService(settings)
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def budget_guard_dep(settings: SettingsDep) -> DailyBudgetGuard:
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"""全局日预算的场景闸（架构 §13.3）：hd_export 等可降级场景在请求入口先过它。
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每次请求新建实例是刻意的：Guard 本身无状态（水位读 Redis），
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与 build_llm_gateway 里给网关用的那只互不影响。
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"""
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return DailyBudgetGuard(
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RedisCostCounter(get_redis()),
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daily_budget_cents=Decimal(settings.llm_daily_budget_cents),
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enabled=settings.llm_daily_budget_enabled,
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tz_offset_hours=settings.llm_budget_timezone_offset_hours,
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tiers=list(settings.llm_budget_tiers),
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)
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def agent_service_dep(
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session: SessionDep,
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gateway: GatewayDep,
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@@ -204,4 +219,5 @@ BillingServiceDep = Annotated[BillingService, Depends(billing_service_dep)]
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TaskServiceDep = Annotated[TaskService, Depends(task_service_dep)]
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AnalyticsServiceDep = Annotated[AnalyticsService, Depends(analytics_service_dep)]
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StorageServiceDep = Annotated[StorageService, Depends(storage_service_dep)]
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BudgetGuardDep = Annotated[DailyBudgetGuard, Depends(budget_guard_dep)]
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AgentServiceDep = Annotated[AgentService, Depends(agent_service_dep)]
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@@ -13,10 +13,14 @@ from typing import Annotated
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from celery import Celery
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from fastapi import APIRouter, Depends, Query
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from fastapi.responses import FileResponse
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from apps.api.deps import CurrentUserId, SessionDep, SettingsDep
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from apps.api.deps import BudgetGuardDep, CurrentUserId, SessionDep, SettingsDep
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from packages.report.export_service import ReportExportService
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from packages.report.schemas import (
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ReportCreateRequest,
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ReportExportRequest,
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ReportExportResponse,
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ReportItem,
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ReportRegenerateRequest,
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ReportSubmitResponse,
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@@ -29,6 +33,7 @@ from packages.shared.response import ok
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router = APIRouter(prefix="/reports", tags=["reports"])
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REPORT_TASK_NAME = "meida.report.generate"
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REPORT_EXPORT_TASK_NAME = "meida.report.export"
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@lru_cache(maxsize=1)
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@@ -43,6 +48,11 @@ def _enqueue_report(task_id: int) -> None:
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_producer().send_task(REPORT_TASK_NAME, args=[task_id], queue="cpu")
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def _enqueue_export(task_id: int) -> None:
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"""PDF 导出同属 meida.report.* → cpu 队列；投递纪律与生成一致。"""
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_producer().send_task(REPORT_EXPORT_TASK_NAME, args=[task_id], queue="cpu")
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def _serialize(report: RpReport) -> dict[str, object]:
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result = report.result or {}
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if report.status == "failed":
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@@ -67,6 +77,17 @@ def report_service_dep(session: SessionDep, settings: SettingsDep) -> ReportServ
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ReportServiceDep = Annotated[ReportService, Depends(report_service_dep)]
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def report_export_service_dep(
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session: SessionDep, settings: SettingsDep, guard: BudgetGuardDep
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) -> ReportExportService:
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return ReportExportService(
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session, settings=settings, scene_guard=guard, enqueue=_enqueue_export
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)
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ReportExportServiceDep = Annotated[ReportExportService, Depends(report_export_service_dep)]
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@router.post("", summary="生成第一份美学报告（终身一次，走 report_basic 配额）")
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async def create_report(
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payload: ReportCreateRequest,
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@@ -119,6 +140,37 @@ async def regenerate_report(
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return ok(_submit_payload(submission))
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@router.post(
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"/{report_id}/export", summary="导出形象报告 PDF（走 hd_export 日配额，tier2 熔断可拦）"
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)
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async def export_report(
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report_id: int,
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payload: ReportExportRequest,
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user_id: CurrentUserId,
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service: ReportExportServiceDep,
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) -> dict[str, object]:
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request_key = payload.request_key or f"report-export:{user_id}:{report_id}:{uuid.uuid4().hex}"
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submission = await service.create_export(
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user_id=user_id, report_id=report_id, request_key=request_key
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)
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return ok(
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ReportExportResponse(task_id=str(submission.task_id), status=submission.status).model_dump()
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)
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@router.get("/{report_id}/export/download", summary="下载已生成的报告 PDF（归属校验）")
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async def download_report_pdf(
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report_id: int,
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user_id: CurrentUserId,
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service: ReportExportServiceDep,
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) -> FileResponse:
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export_file = await service.get_export_file(user_id=user_id, report_id=report_id)
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# 二进制文件不走 ok() 信封：Content-Disposition 携带展示文件名（UTF-8 百分号编码）。
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return FileResponse(
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export_file.path, media_type="application/pdf", filename=export_file.filename
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)
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def _submit_payload(submission: ReportSubmission) -> dict[str, object]:
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return ReportSubmitResponse(
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task_id=str(submission.task_id),
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@@ -27,7 +27,7 @@ celery_app = Celery(
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"meida",
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broker=settings.celery_broker_url,
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backend=settings.celery_result_backend,
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include=["apps.worker.tasks", "apps.worker.report_tasks"],
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include=["apps.worker.tasks", "apps.worker.report_tasks", "apps.worker.export_tasks"],
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)
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celery_app.conf.update(
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@@ -0,0 +1,183 @@
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"""报告 PDF 导出的 celery 任务（name=``meida.report.export``，cpu 队列）。
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只做「取产物 → 渲染 → 落盘 → 回写 rendered_asset_key」，不重算内容。
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配额三段式与报告生成一致：成功 commit、失败 refund（FR-BILL-05），
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预扣凭 ``tk_task.reserve_tx_id`` 找回（复用 pipeline.load_reservation）。
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渲染是同步 CPU 工作（WeasyPrint 没有 async API），在 --pool=solo 的 cpu
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worker 里直接执行——单份报告渲染耗时为秒级，可接受；未来上量再挪线程池。
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, cast
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from apps.worker import loop as worker_loop
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from apps.worker.celery_app import celery_app
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from packages.billing.service import BillingService
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from packages.domain.task.state import TERMINAL_STATUSES, TaskStatus
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from packages.report import repo as report_repo
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from packages.report.pdf.renderer import ReportPdfMeta, render_report_pdf
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from packages.report.pipeline import load_reservation
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from packages.shared.config import get_settings
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from packages.shared.context import bind_context
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from packages.shared.db import get_session_factory
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from packages.shared.errors import AppError, ErrorCode
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from packages.shared.logging import get_logger
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from packages.task import repo as task_repo
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from packages.task.service import TaskService
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logger = get_logger(__name__)
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class ExportRejectedError(Exception):
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"""业务性拒绝（如报告不再是 succeeded）：已在任务内结案并退款，重跑也不会好。
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与流水线的 StageFailureError 同义：celery 包装层据类型区分「业务失败
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不重试」与「基础设施异常值得重试」。
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"""
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def _write_pdf(export_dir: str, filename: str, pdf_bytes: bytes) -> Path:
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"""落盘导出文件（同步：pathlib 阻塞方法不进 async 函数，ASYNC240）。
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返回含导出目录前缀的相对路径——rendered_asset_key 按此入库，下载侧
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按同一 cwd 解析，且整体迁移 var/ 目录时不用改库。
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"""
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directory = Path(export_dir)
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directory.mkdir(parents=True, exist_ok=True)
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path = directory / filename
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path.write_bytes(pdf_bytes)
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return path
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async def _export_report(task_id: int) -> dict[str, Any]:
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"""执行一次报告导出（celery 包装层的内芯）。"""
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settings = get_settings()
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factory = get_session_factory()
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async with factory() as session:
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task = await task_repo.get_for_update(session, task_id)
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if task is None:
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raise AppError(ErrorCode.NOT_FOUND, message=f"任务不存在：{task_id}")
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current = TaskStatus(task.status)
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if current in TERMINAL_STATUSES:
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# 重复投递/幂等重放的守卫：已结案的任务不再执行，防重复 commit 配额。
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logger.info("report_export_replay_skipped", task_id=task_id, status=task.status)
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return {"task_id": str(task_id), "status": task.status, "skipped": True}
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report_id_raw = task.payload.get("report_id")
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if not isinstance(report_id_raw, str | int):
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raise AppError(ErrorCode.STATE_CONFLICT, message="任务缺少 report_id")
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report_id = int(report_id_raw)
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report = await report_repo.get_report(session, report_id)
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if report is None:
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raise AppError(ErrorCode.STATE_CONFLICT, message="报告数据不完整")
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service = TaskService(session)
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# 与报告生成同一纪律：重试入站先归一 QUEUED 再进 RUNNING。
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if current is not TaskStatus.QUEUED:
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await service.transition(task_id=task_id, target=TaskStatus.QUEUED, stage_text="排队中")
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await service.transition(task_id=task_id, target=TaskStatus.RUNNING, stage_text="渲染中")
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await session.commit() # RUNNING 先落库：前端进度读它
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if report.status != report_repo.STATUS_SUCCEEDED:
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# 发起导出后报告被重生成顶掉/置失败等：业务性拒绝，结案退款不重试。
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await _reject_export(task_id, "报告当前状态不可导出")
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raise ExportRejectedError(f"report {report_id} status={report.status}")
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pdf_bytes = render_report_pdf(
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report.result or {},
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meta=ReportPdfMeta(
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report_id=report.report_id,
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version=report.version,
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generated_at=report.completed_at or report.created_at,
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),
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)
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filename = f"report_{report.report_id}_v{report.version}.pdf"
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asset_key = _write_pdf(settings.report_export_dir, filename, pdf_bytes).as_posix()
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report.rendered_asset_key = asset_key
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reservation = await load_reservation(session, task_id)
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if reservation is not None:
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await BillingService(session).commit(reservation)
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await service.transition(
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task_id=task_id,
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target=TaskStatus.SUCCEEDED,
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stage_text="已完成",
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result={
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"report_id": str(report.report_id),
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"version": report.version,
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"asset_key": asset_key,
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},
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)
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await session.commit()
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logger.info(
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"report_export_succeeded",
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report_id=report_id,
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task_id=task_id,
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asset_key=asset_key,
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pdf_bytes=len(pdf_bytes),
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)
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return {"task_id": str(task_id), "report_id": str(report_id), "status": "succeeded"}
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async def _reject_export(task_id: int, message: str) -> None:
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"""业务性拒绝的结案：task failed + 退款，提交后才返回（纪律同流水线失败结案）。"""
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factory = get_session_factory()
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async with factory() as session:
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await TaskService(session).transition(
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task_id=task_id,
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target=TaskStatus.FAILED,
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stage_text="无法导出",
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error_message=message,
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)
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reservation = await load_reservation(session, task_id)
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if reservation is not None:
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await BillingService(session).refund(reservation, reason="report_export_rejected")
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await session.commit()
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async def _fail_export(task_id: int, message: str) -> None:
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"""基础设施异常重试耗尽后的兜底结案：failed + 退款（尽力而为）。"""
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factory = get_session_factory()
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try:
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async with factory() as session:
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task = await task_repo.get_for_update(session, task_id)
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if task is None or TaskStatus(task.status) in TERMINAL_STATUSES:
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return
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await TaskService(session).transition(
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task_id=task_id,
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target=TaskStatus.FAILED,
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stage_text="执行失败",
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error_message=message,
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)
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reservation = await load_reservation(session, task_id)
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if reservation is not None:
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await BillingService(session).refund(reservation, reason="report_export_failed")
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await session.commit()
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except Exception:
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logger.exception("report_export_fail_settle_failed", task_id=task_id)
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# Celery 的 task 装饰器没有类型标注，会把被装饰函数擦成 untyped
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@celery_app.task(name="meida.report.export", bind=True, max_retries=1) # type: ignore[untyped-decorator]
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def export_report_pdf(self: Any, task_id: int) -> dict[str, Any]:
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"""cpu 队列的报告 PDF 导出入口。
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重试语义与报告生成对齐：基础设施类异常重试一次；业务性拒绝
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（ExportRejectedError）已在任务内结案，重跑也不会好，不再重试。
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"""
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bind_context(task_id=task_id)
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try:
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return cast("dict[str, Any]", worker_loop.run(_export_report(task_id)))
|
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except ExportRejectedError as exc:
|
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logger.warning("report_export_rejected", task_id=task_id, error=str(exc))
|
||||
raise
|
||||
except Exception as exc:
|
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if self.request.retries < self.max_retries:
|
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logger.warning("report_export_retry", task_id=task_id, error=str(exc))
|
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raise self.retry(exc=exc, countdown=10) from exc
|
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logger.exception("report_export_failed_after_retry", task_id=task_id)
|
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worker_loop.run(_fail_export(task_id, f"{type(exc).__name__}: {exc}"))
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raise
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||||
@@ -192,8 +192,7 @@ def build_rule_context(
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features=tuple(_str_list(derived_features.get("body_features"))),
|
||||
goals=tuple(_str_list(questionnaire.get("core_goals"))),
|
||||
occasion=occasion,
|
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style=_str(questionnaire.get("psyche_style"))
|
||||
or _str(questionnaire.get("psych_style")),
|
||||
style=_str(questionnaire.get("psyche_style")) or _str(questionnaire.get("psych_style")),
|
||||
user_taboos=tuple(_str_list(questionnaire.get("taboos"))),
|
||||
)
|
||||
|
||||
|
||||
@@ -0,0 +1,208 @@
|
||||
"""报告 PDF 导出的域服务（Phase A）：资格、幂等、配额预扣与任务投递。
|
||||
|
||||
与报告生成的差别：导出是「读产物 → 渲染 → 落盘」的纯加工，不重算内容，
|
||||
因此不建新报告行，只建 tk_task（type=render）并在成功后回写
|
||||
``rp_report.rendered_asset_key``。
|
||||
|
||||
事务纪律与 ReportService 一致：reserve 与建任务同事务，commit 之后才投递；
|
||||
幂等同样是双保险——tk_task 幂等键挡重复任务行，reserve 幂等键挡重复预扣，
|
||||
服务层重放快捷路径让同键重试拿到 200。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Callable
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Protocol
|
||||
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
|
||||
from packages.billing.service import BillingService
|
||||
from packages.domain.task.state import TaskStatus, TaskType
|
||||
from packages.report import repo
|
||||
from packages.shared.config import Settings
|
||||
from packages.shared.errors import AppError, ErrorCode, ForbiddenError
|
||||
from packages.shared.logging import get_logger
|
||||
from packages.shared.models import RpReport, Task
|
||||
from packages.task import repo as task_repo
|
||||
from packages.task.service import TaskService
|
||||
|
||||
logger = get_logger(__name__)
|
||||
|
||||
#: 导出走 hd_export 日配额（迁移 0003 种子：day / base 1 / hard_cap 3）；
|
||||
#: 同一字符串也是熔断档位拦截的场景名（tier2 起被 block，见架构 §13.3）。
|
||||
QUOTA_KEY_EXPORT = "hd_export"
|
||||
EXPORT_REF_TYPE = "report_export"
|
||||
EXPORT_ETA_SECONDS = 30
|
||||
|
||||
_TERMINAL_TASK_STATUSES = frozenset(
|
||||
{TaskStatus.SUCCEEDED.value, TaskStatus.FAILED.value, TaskStatus.CANCELED.value}
|
||||
)
|
||||
|
||||
|
||||
class SceneGuard(Protocol):
|
||||
"""熔断场景闸的最小接口（DailyBudgetGuard 结构匹配）。
|
||||
|
||||
声明 Protocol 而非直接依赖 packages.llm.budget：单测可以塞假实现，
|
||||
服务单测不必拉起 Redis。
|
||||
"""
|
||||
|
||||
async def ensure_scene_allowed(self, *, scene: str, critical: bool = False) -> None: ...
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ExportSubmission:
|
||||
"""一次导出提交的结果；幂等重放返回同值。"""
|
||||
|
||||
task_id: int
|
||||
report_id: int
|
||||
status: str
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ExportFile:
|
||||
"""下载就绪的导出文件：磁盘路径 + 给客户端的展示文件名。"""
|
||||
|
||||
path: Path
|
||||
filename: str
|
||||
|
||||
|
||||
def _submission_of(task: Task) -> ExportSubmission:
|
||||
"""从 tk_task 行重建导出提交结果（幂等重放路径）。"""
|
||||
raw_report_id = task.payload.get("report_id")
|
||||
if not isinstance(raw_report_id, str | int):
|
||||
raise AppError(ErrorCode.IDEMPOTENCY_CONFLICT)
|
||||
return ExportSubmission(task_id=task.task_id, report_id=int(raw_report_id), status=task.status)
|
||||
|
||||
|
||||
def _resolve_export_path(export_dir: str, asset_key: str) -> Path:
|
||||
"""同步解析导出文件路径（pathlib 的阻塞方法不进 async 函数，ASYNC240）。
|
||||
|
||||
key 由 worker 写入，越界即数据被篡改——按服务器错误处理而非 404；
|
||||
行已回写但文件丢了（磁盘清理等），对用户来说等于还没生成。
|
||||
"""
|
||||
export_root = Path(export_dir).resolve()
|
||||
path = Path(asset_key).resolve()
|
||||
if not path.is_relative_to(export_root):
|
||||
raise AppError(ErrorCode.INTERNAL_ERROR, message="导出文件路径异常")
|
||||
if not path.is_file():
|
||||
raise AppError(ErrorCode.REPORT_EXPORT_NOT_READY)
|
||||
return path
|
||||
|
||||
|
||||
class ReportExportService:
|
||||
def __init__(
|
||||
self,
|
||||
session: AsyncSession,
|
||||
*,
|
||||
settings: Settings,
|
||||
scene_guard: SceneGuard | None = None,
|
||||
enqueue: Callable[[int], None] | None = None,
|
||||
) -> None:
|
||||
self._session = session
|
||||
self._settings = settings
|
||||
# scene_guard 为 None 时跳过熔断（单测直调）；API 装配层总是注入真实现。
|
||||
self._scene_guard = scene_guard
|
||||
self._enqueue = enqueue
|
||||
self._billing = BillingService(
|
||||
session, tz_offset_hours=settings.llm_budget_timezone_offset_hours
|
||||
)
|
||||
self._tasks = TaskService(session)
|
||||
|
||||
# -- 发起导出 ------------------------------------------------------------
|
||||
|
||||
async def create_export(
|
||||
self, *, user_id: int, report_id: int, request_key: str
|
||||
) -> ExportSubmission:
|
||||
"""预扣 hd_export + 建 render 任务 + commit 后投递；同 request_key 重放返回同一任务。"""
|
||||
replay = await self._find_replay(
|
||||
request_key=request_key, user_id=user_id, report_id=report_id
|
||||
)
|
||||
if replay is not None:
|
||||
return replay
|
||||
|
||||
report = await self.get_report(user_id=user_id, report_id=report_id)
|
||||
if report.status != repo.STATUS_SUCCEEDED:
|
||||
raise AppError(ErrorCode.STATE_CONFLICT, message="只有已完成的报告可以导出 PDF")
|
||||
|
||||
# 熔断先于预扣：档位拦截时用户额度原样保留（架构 §13.3）。
|
||||
if self._scene_guard is not None:
|
||||
await self._scene_guard.ensure_scene_allowed(scene=QUOTA_KEY_EXPORT)
|
||||
|
||||
reservation = await self._billing.reserve(
|
||||
user_id=user_id,
|
||||
quota_key=QUOTA_KEY_EXPORT,
|
||||
request_key=request_key,
|
||||
amount=1,
|
||||
reason=f"export report v{report.version} pdf",
|
||||
ref_type=EXPORT_REF_TYPE,
|
||||
ref_id=str(report.report_id),
|
||||
)
|
||||
task = await self._tasks.submit(
|
||||
user_id=user_id,
|
||||
task_type=TaskType.RENDER,
|
||||
idempotency_key=request_key,
|
||||
payload={"report_id": str(report.report_id), "version": report.version},
|
||||
quota_reserved=reservation.amount,
|
||||
reserve_tx_id=reservation.tx_id,
|
||||
eta_seconds=EXPORT_ETA_SECONDS,
|
||||
)
|
||||
if task.payload.get("report_id") != str(report.report_id):
|
||||
# 并发同键：tk_task 唯一键已被先到者占住，回滚自己的预扣，按先到者返回。
|
||||
await self._session.rollback()
|
||||
winner = await task_repo.find_by_idempotency_key(self._session, request_key)
|
||||
if winner is None: # pragma: no cover - 唯一键刚被对手占住，不可达兜底
|
||||
raise AppError(ErrorCode.IDEMPOTENCY_CONFLICT)
|
||||
return _submission_of(winner)
|
||||
|
||||
# 先提交再投递：worker 收到消息时任务行必须已经可见。
|
||||
await self._session.commit()
|
||||
if self._enqueue is not None and task.status not in _TERMINAL_TASK_STATUSES:
|
||||
self._enqueue(task.task_id)
|
||||
logger.info(
|
||||
"report_export_created",
|
||||
user_id=user_id,
|
||||
report_id=report_id,
|
||||
task_id=task.task_id,
|
||||
)
|
||||
return ExportSubmission(task.task_id, report.report_id, task.status)
|
||||
|
||||
# -- 下载 -----------------------------------------------------------------
|
||||
|
||||
async def get_export_file(self, *, user_id: int, report_id: int) -> ExportFile:
|
||||
"""已生成校验 + 路径收敛：rendered_asset_key 只允许落在导出目录内。"""
|
||||
report = await self.get_report(user_id=user_id, report_id=report_id)
|
||||
if not report.rendered_asset_key:
|
||||
raise AppError(ErrorCode.REPORT_EXPORT_NOT_READY)
|
||||
path = _resolve_export_path(self._settings.report_export_dir, report.rendered_asset_key)
|
||||
return ExportFile(path=path, filename=f"美搭形象报告-v{report.version}.pdf")
|
||||
|
||||
# -- 查询 -----------------------------------------------------------------
|
||||
|
||||
async def get_report(self, *, user_id: int, report_id: int) -> RpReport:
|
||||
report = await repo.get_report(self._session, report_id)
|
||||
if report is None:
|
||||
raise AppError(ErrorCode.REPORT_NOT_FOUND)
|
||||
if report.user_id != user_id:
|
||||
# 归属校验（架构 §11.1）：不能只靠 ID 不可猜，必须显式比对。
|
||||
raise ForbiddenError()
|
||||
return report
|
||||
|
||||
# -- 内部 -----------------------------------------------------------------
|
||||
|
||||
async def _find_replay(
|
||||
self, *, request_key: str, user_id: int, report_id: int
|
||||
) -> ExportSubmission | None:
|
||||
"""同 request_key 的 RENDER 任务已存在时重建提交结果。"""
|
||||
existing = await task_repo.find_by_idempotency_key(self._session, request_key)
|
||||
if existing is None:
|
||||
return None
|
||||
if existing.user_id != user_id or existing.task_type != TaskType.RENDER.value:
|
||||
# 幂等键全局唯一，撞上了其它用户/其它功能的关键字：按幂等冲突拒绝。
|
||||
raise AppError(ErrorCode.IDEMPOTENCY_CONFLICT)
|
||||
submission = _submission_of(existing)
|
||||
if submission.report_id != report_id:
|
||||
# 同键不同报告：不是同一次请求的重放。
|
||||
raise AppError(ErrorCode.IDEMPOTENCY_CONFLICT)
|
||||
return submission
|
||||
@@ -0,0 +1,7 @@
|
||||
"""报告 PDF 渲染（Phase A）：Jinja2 HTML 模板 + WeasyPrint。
|
||||
|
||||
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
|
||||
用 CSS Paged Media 足以表达，而本环境拉取 Chromium（Microsoft CDN）困难；
|
||||
WeasyPrint 纯 Python + Pango，无浏览器依赖、渲染确定性好。代价是复杂
|
||||
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。
|
||||
"""
|
||||
@@ -0,0 +1,196 @@
|
||||
"""形象报告 PDF 渲染器：result JSONB → PDF bytes（无 I/O，纯内存渲染）。
|
||||
|
||||
输入是 ``rp_report.result``（diagnosis/copy/validation 三段产物），输出
|
||||
PDF 字节串；落盘、回写 ``rendered_asset_key`` 归 worker 任务，下载归路由——
|
||||
渲染器本身只关心「内容 → 版式」，便于单测与将来换排版。
|
||||
|
||||
安全约定（WeasyPrint 能加载外部资源，等于一个 SSRF 面）：
|
||||
模板不引用任何外部 URL，且自定义 url_fetcher 对**一切** URL（含 file://）
|
||||
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
|
||||
或内网资源打进 PDF。
|
||||
|
||||
维度中文名不在 ``diagnosis.dimensions`` 行内（DimensionResult 只有 key），
|
||||
渲染时按 key 回填 ``DIMENSION_BY_KEY`` 的字典定义——PDF 展示口径与流水线
|
||||
产物口径各管各的，产物不冗余存展示字段。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from collections.abc import Mapping
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any, NoReturn
|
||||
|
||||
import jinja2
|
||||
from weasyprint import HTML
|
||||
|
||||
from packages.report.dimensions import DIMENSION_BY_KEY
|
||||
from packages.shared.errors import AppError, ErrorCode
|
||||
|
||||
_TEMPLATE_DIR = Path(__file__).parent / "templates"
|
||||
|
||||
#: 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
|
||||
#: （与 copy.py HARD_DIMENSION_KEYS 的取舍同源——这些是用户最先看的结论）。
|
||||
_CORE_DIM_KEYS: tuple[str, ...] = (
|
||||
"body_shape",
|
||||
"face_shape",
|
||||
"skin_tone",
|
||||
"season_code",
|
||||
"gene_style",
|
||||
"psyche_style",
|
||||
"fusion_style_name",
|
||||
"core_goals",
|
||||
)
|
||||
|
||||
#: 值里可能带十六进制色、值得渲染成色卡的维度键。
|
||||
_SWATCH_DIM_KEYS: frozenset[str] = frozenset(
|
||||
{"best_colors", "neutral_colors", "avoid_colors", "hair_color"}
|
||||
)
|
||||
|
||||
_env = jinja2.Environment(
|
||||
loader=jinja2.FileSystemLoader(_TEMPLATE_DIR),
|
||||
autoescape=jinja2.select_autoescape(default=True, default_for_string=True),
|
||||
trim_blocks=True,
|
||||
lstrip_blocks=True,
|
||||
)
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class ReportPdfMeta:
|
||||
"""渲染元信息（报告主体之外的归属字段，由 worker 从 rp_report 行带入）。"""
|
||||
|
||||
report_id: int
|
||||
version: int
|
||||
generated_at: datetime
|
||||
brand: str = "美搭"
|
||||
title: str = "个人形象美学报告"
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class _DimView:
|
||||
"""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。"""
|
||||
|
||||
number: int
|
||||
key: str
|
||||
name_cn: str
|
||||
value_text: str
|
||||
confidence_pct: int | None # skipped 维度无置信度
|
||||
evidence: str
|
||||
skipped: bool
|
||||
swatches: tuple[dict[str, str], ...] = field(default=())
|
||||
|
||||
|
||||
def _reject_all_urls(url: str, **_options: Any) -> NoReturn:
|
||||
"""WeasyPrint url_fetcher：本版模板零外部资源，任何拉取都是 bug 或注入。"""
|
||||
raise ValueError(f"PDF 模板不允许加载外部资源：{url!r}")
|
||||
|
||||
|
||||
def _fmt_scalar(value: Any) -> str:
|
||||
if value is None:
|
||||
return "—"
|
||||
if isinstance(value, bool):
|
||||
return "是" if value else "否"
|
||||
if isinstance(value, str):
|
||||
return value
|
||||
if isinstance(value, int | float):
|
||||
return str(value)
|
||||
return json.dumps(value, ensure_ascii=False)
|
||||
|
||||
|
||||
def _fmt_value(value: Any) -> str:
|
||||
"""维度结论值 → 一行展示文本（枚举/数值/列表/字典都可能出现）。"""
|
||||
if isinstance(value, list):
|
||||
parts = []
|
||||
for item in value:
|
||||
if isinstance(item, Mapping):
|
||||
# 色卡类条目优先用中文名，其次 hex；其余字典整体 JSON 化。
|
||||
parts.append(str(item.get("name_cn") or item.get("hex") or _fmt_scalar(dict(item))))
|
||||
else:
|
||||
parts.append(_fmt_scalar(item))
|
||||
return "、".join(parts) if parts else "—"
|
||||
return _fmt_scalar(value)
|
||||
|
||||
|
||||
def _extract_swatches(key: str, value: Any) -> tuple[dict[str, str], ...]:
|
||||
"""色卡维度提取 ``{hex, name}`` 列表；非色卡维度或值形不符时为空。"""
|
||||
if key not in _SWATCH_DIM_KEYS or not isinstance(value, list):
|
||||
return ()
|
||||
swatches: list[dict[str, str]] = []
|
||||
for item in value:
|
||||
if isinstance(item, Mapping) and isinstance(item.get("hex"), str):
|
||||
swatches.append({"hex": item["hex"], "name": str(item.get("name_cn") or "")})
|
||||
return tuple(swatches)
|
||||
|
||||
|
||||
def _build_dimensions(diagnosis: Mapping[str, Any]) -> list[_DimView]:
|
||||
raw_dims = diagnosis.get("dimensions") or []
|
||||
views: list[_DimView] = []
|
||||
for raw in raw_dims:
|
||||
if not isinstance(raw, Mapping):
|
||||
continue
|
||||
key = str(raw.get("key") or "")
|
||||
spec = DIMENSION_BY_KEY.get(key)
|
||||
skipped = raw.get("status") == "skipped"
|
||||
value = raw.get("value")
|
||||
confidence = raw.get("confidence")
|
||||
views.append(
|
||||
_DimView(
|
||||
number=int(raw.get("number") or (spec.number if spec else 0)),
|
||||
key=key,
|
||||
name_cn=spec.name_cn if spec else key or "未知维度",
|
||||
value_text="初级版未覆盖" if skipped else _fmt_value(value),
|
||||
confidence_pct=None
|
||||
if skipped or not isinstance(confidence, int | float)
|
||||
else round(float(confidence) * 100),
|
||||
evidence=str(raw.get("evidence") or ""),
|
||||
skipped=skipped,
|
||||
swatches=() if skipped else _extract_swatches(key, value),
|
||||
)
|
||||
)
|
||||
views.sort(key=lambda view: view.number)
|
||||
return views
|
||||
|
||||
|
||||
def render_report_pdf(result: Mapping[str, Any], *, meta: ReportPdfMeta) -> bytes:
|
||||
"""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）。
|
||||
|
||||
只对 ``succeeded`` 报告调用（路由/worker 已把关），这里仍校验 copy
|
||||
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，
|
||||
而不是 Jinja 渲染一半的 500。
|
||||
"""
|
||||
copy = result.get("copy")
|
||||
diagnosis = result.get("diagnosis")
|
||||
if not isinstance(copy, Mapping) or not isinstance(diagnosis, Mapping):
|
||||
raise AppError(ErrorCode.STATE_CONFLICT, message="报告内容不完整，无法导出 PDF")
|
||||
|
||||
summary = str(copy.get("summary") or "")
|
||||
sections: list[dict[str, Any]] = []
|
||||
for section in copy.get("sections") or []:
|
||||
if not isinstance(section, Mapping):
|
||||
continue
|
||||
sections.append(
|
||||
{
|
||||
"title": str(section.get("title") or ""),
|
||||
"paragraphs": [str(p) for p in section.get("paragraphs") or []],
|
||||
}
|
||||
)
|
||||
dimensions = _build_dimensions(diagnosis)
|
||||
# 核心卡片按字典键集合挑，保持档案摘要页聚焦画像锚点
|
||||
core_keys = set(_CORE_DIM_KEYS)
|
||||
core_views = [v for v in dimensions if v.key in core_keys and not v.skipped]
|
||||
|
||||
template = _env.get_template("report.html.j2")
|
||||
html = template.render(
|
||||
meta=meta,
|
||||
date_text=meta.generated_at.strftime("%Y年%m月%d日"),
|
||||
summary=summary,
|
||||
sections=sections,
|
||||
dimensions=dimensions,
|
||||
core_dimensions=core_views,
|
||||
ok_count=sum(1 for v in dimensions if not v.skipped),
|
||||
)
|
||||
# weasyprint 的 write_pdf 声明返回 Any（其 typeshed 未收口），按声明类型收窄
|
||||
pdf: bytes = HTML(string=html, base_url=None, url_fetcher=_reject_all_urls).write_pdf()
|
||||
return pdf
|
||||
@@ -0,0 +1,254 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>{{ meta.brand }} · {{ meta.title }}</title>
|
||||
<style>
|
||||
/* ── 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）── */
|
||||
@page {
|
||||
size: A4;
|
||||
margin: 18mm 16mm 22mm 16mm;
|
||||
@bottom-center {
|
||||
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";
|
||||
font-size: 7.5pt;
|
||||
color: #9a8f8a;
|
||||
}
|
||||
}
|
||||
@page cover {
|
||||
/* 封面不显示页脚页码，保持仪式感 */
|
||||
@bottom-center { content: none; }
|
||||
}
|
||||
|
||||
:root {
|
||||
--accent: #a03d5a;
|
||||
--accent-soft: #f6ecef;
|
||||
--ink: #2b2624;
|
||||
--muted: #8a807b;
|
||||
--line: #e4dbd6;
|
||||
}
|
||||
|
||||
* { box-sizing: border-box; }
|
||||
html, body {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
font-family: 'Noto Sans CJK SC', sans-serif;
|
||||
color: var(--ink);
|
||||
font-size: 10pt;
|
||||
line-height: 1.75;
|
||||
}
|
||||
|
||||
/* ── 每页水印：fixed 元素在 WeasyPrint 里逐页重复 ─────────────────────── */
|
||||
.watermark {
|
||||
position: fixed;
|
||||
top: 42%;
|
||||
left: 8%;
|
||||
width: 84%;
|
||||
text-align: center;
|
||||
transform: rotate(-28deg);
|
||||
font-size: 52pt;
|
||||
font-weight: bold;
|
||||
letter-spacing: 12pt;
|
||||
color: rgba(160, 61, 90, 0.07);
|
||||
}
|
||||
|
||||
/* ── 封面 ─────────────────────────────────────────────────────────────── */
|
||||
.cover {
|
||||
page: cover;
|
||||
page-break-after: always;
|
||||
height: 240mm;
|
||||
text-align: center;
|
||||
padding-top: 62mm;
|
||||
}
|
||||
.cover .brand {
|
||||
font-size: 15pt;
|
||||
letter-spacing: 10pt;
|
||||
color: var(--accent);
|
||||
margin-bottom: 6mm;
|
||||
}
|
||||
.cover h1 {
|
||||
font-size: 30pt;
|
||||
font-weight: bold;
|
||||
letter-spacing: 4pt;
|
||||
margin: 0 0 10mm 0;
|
||||
}
|
||||
.cover .rule {
|
||||
width: 42mm;
|
||||
border-top: 1.2pt solid var(--accent);
|
||||
margin: 0 auto 10mm auto;
|
||||
}
|
||||
.cover .date { color: var(--muted); font-size: 11pt; letter-spacing: 2pt; }
|
||||
.cover .version { color: var(--muted); font-size: 9pt; margin-top: 2mm; }
|
||||
.cover .ai-badge {
|
||||
display: inline-block;
|
||||
margin-top: 52mm;
|
||||
padding: 2.5mm 8mm;
|
||||
border: 1pt solid var(--accent);
|
||||
border-radius: 12mm;
|
||||
color: var(--accent);
|
||||
font-size: 10pt;
|
||||
letter-spacing: 3pt;
|
||||
}
|
||||
|
||||
/* ── 章节 ─────────────────────────────────────────────────────────────── */
|
||||
h2.chapter {
|
||||
font-size: 15pt;
|
||||
color: var(--accent);
|
||||
border-left: 3.5pt solid var(--accent);
|
||||
padding-left: 4mm;
|
||||
margin: 9mm 0 4mm 0;
|
||||
page-break-after: avoid;
|
||||
}
|
||||
h3.sec-title {
|
||||
font-size: 12pt;
|
||||
margin: 7mm 0 2.5mm 0;
|
||||
page-break-after: avoid;
|
||||
}
|
||||
p.para { margin: 0 0 3mm 0; text-align: justify; }
|
||||
|
||||
.summary-box {
|
||||
background: var(--accent-soft);
|
||||
border-radius: 3mm;
|
||||
padding: 5mm 6mm;
|
||||
margin: 4mm 0 2mm 0;
|
||||
page-break-inside: avoid;
|
||||
}
|
||||
|
||||
/* ── 核心结论卡片（档案摘要页）────────────────────────────────────────── */
|
||||
.core-grid { width: 100%; border-collapse: separate; border-spacing: 2.5mm; }
|
||||
.core-card {
|
||||
background: #fbf8f7;
|
||||
border: 0.6pt solid var(--line);
|
||||
border-radius: 2.5mm;
|
||||
padding: 3.5mm 4mm;
|
||||
width: 50%;
|
||||
vertical-align: top;
|
||||
page-break-inside: avoid;
|
||||
}
|
||||
.core-card .dim-name { font-size: 8.5pt; color: var(--muted); letter-spacing: 1pt; }
|
||||
.core-card .dim-value { font-size: 11.5pt; font-weight: bold; margin: 1mm 0; }
|
||||
.core-card .dim-value::before { content: "✓ "; color: var(--accent); }
|
||||
|
||||
/* ── 置信度条 ─────────────────────────────────────────────────────────── */
|
||||
.conf { background: #eee4e0; border-radius: 2mm; height: 2.2mm; width: 26mm; display: inline-block; vertical-align: middle; }
|
||||
.conf .fill { background: var(--accent); border-radius: 2mm; height: 2.2mm; }
|
||||
.conf-num { font-size: 8pt; color: var(--muted); margin-left: 1.5mm; }
|
||||
|
||||
/* ── 色卡 ─────────────────────────────────────────────────────────────── */
|
||||
.swatch { display: inline-block; width: 4.5mm; height: 4.5mm; border-radius: 1mm;
|
||||
border: 0.4pt solid #c9bcb6; margin-right: 1mm; vertical-align: middle; }
|
||||
.swatch-name { font-size: 8pt; color: var(--muted); margin-right: 2.5mm; }
|
||||
|
||||
/* ── 32 维明细表 ──────────────────────────────────────────────────────── */
|
||||
table.dims { width: 100%; border-collapse: collapse; font-size: 8.5pt; margin-top: 3mm; }
|
||||
table.dims th {
|
||||
background: var(--accent);
|
||||
color: #fff;
|
||||
font-weight: normal;
|
||||
padding: 2mm 2.5mm;
|
||||
text-align: left;
|
||||
}
|
||||
table.dims td {
|
||||
border-bottom: 0.5pt solid var(--line);
|
||||
padding: 2mm 2.5mm;
|
||||
vertical-align: top;
|
||||
}
|
||||
table.dims tr { page-break-inside: avoid; }
|
||||
table.dims tr.skipped td { color: #b3a9a4; background: #faf8f7; }
|
||||
.dim-no { color: var(--muted); width: 8mm; }
|
||||
.dim-name { width: 24mm; font-weight: bold; }
|
||||
.dim-evidence { color: var(--muted); font-size: 8pt; }
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<div class="watermark">AI 生成内容</div>
|
||||
|
||||
<!-- ── 封面 ─────────────────────────────────────────────────────────── -->
|
||||
<section class="cover">
|
||||
<div class="brand">{{ meta.brand }}</div>
|
||||
<h1>{{ meta.title }}</h1>
|
||||
<div class="rule"></div>
|
||||
<div class="date">{{ date_text }}</div>
|
||||
<div class="version">报告编号 {{ meta.report_id }} · 第 {{ meta.version }} 版</div>
|
||||
<div class="ai-badge">AI 生成内容</div>
|
||||
</section>
|
||||
|
||||
<!-- ── 档案摘要 ───────────────────────────────────────────────────────── -->
|
||||
<section>
|
||||
<h2 class="chapter">档案摘要</h2>
|
||||
{% 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>
|
||||
@@ -29,6 +29,17 @@ class ReportRegenerateRequest(BaseModel):
|
||||
)
|
||||
|
||||
|
||||
class ReportExportRequest(BaseModel):
|
||||
request_key: str | None = Field(
|
||||
default=None, max_length=128, description="幂等键；相同键返回同一导出任务且不重复扣配额"
|
||||
)
|
||||
|
||||
|
||||
class ReportExportResponse(BaseModel):
|
||||
task_id: str
|
||||
status: str = Field(description="tk_task 状态；导出完成后任务中心可取到 asset_key")
|
||||
|
||||
|
||||
class ReportSubmitResponse(BaseModel):
|
||||
task_id: str
|
||||
report_id: str
|
||||
|
||||
@@ -230,6 +230,9 @@ class Settings(BaseSettings):
|
||||
# 是 Sprint 1 结论落地后的替换项，接口位见 packages/report/vision.py）。
|
||||
report_vision_provider: str = "deterministic"
|
||||
report_tier: str = "basic"
|
||||
# PDF 导出落盘目录（相对进程 cwd；worker 与 API 同 cwd 启动，两边解析一致）。
|
||||
# rp_report.rendered_asset_key 存的是含该目录前缀的相对路径。
|
||||
report_export_dir: str = "var/exports"
|
||||
|
||||
# --- Observability -----------------------------------------------------
|
||||
otel_enabled: bool = False
|
||||
|
||||
@@ -42,6 +42,7 @@ class ErrorCode(IntEnum):
|
||||
NOT_FOUND = 40400
|
||||
TASK_BONUS_UNKNOWN = 40410
|
||||
REPORT_NOT_FOUND = 40420
|
||||
REPORT_EXPORT_NOT_READY = 40421
|
||||
STATE_CONFLICT = 40900
|
||||
TASK_BONUS_ALREADY_CLAIMED = 40910
|
||||
REPORT_ALREADY_EXISTS = 40920
|
||||
@@ -103,6 +104,7 @@ ERROR_META: dict[ErrorCode, ErrorMeta] = {
|
||||
ErrorCode.NOT_FOUND: ErrorMeta(404, "内容不存在或已删除"),
|
||||
ErrorCode.TASK_BONUS_UNKNOWN: ErrorMeta(404, "任务不存在或暂未开放"),
|
||||
ErrorCode.REPORT_NOT_FOUND: ErrorMeta(404, "报告不存在或已删除"),
|
||||
ErrorCode.REPORT_EXPORT_NOT_READY: ErrorMeta(404, "PDF 尚未生成", "请先在报告详情页发起导出"),
|
||||
ErrorCode.STATE_CONFLICT: ErrorMeta(409, "当前状态无法执行该操作"),
|
||||
ErrorCode.TASK_BONUS_ALREADY_CLAIMED: ErrorMeta(
|
||||
409, "这个周期的任务奖励已领取", "下个周期再来"
|
||||
|
||||
@@ -23,6 +23,8 @@ dependencies = [
|
||||
"cos-python-sdk-v5>=1.9.44",
|
||||
"tencentcloud-sdk-python-sms>=3.1.153",
|
||||
"numpy>=2.5.2",
|
||||
"weasyprint>=69.0",
|
||||
"jinja2>=3.1.6",
|
||||
]
|
||||
|
||||
[project.optional-dependencies]
|
||||
|
||||
@@ -0,0 +1,39 @@
|
||||
INSERT INTO rp_report (user_id, tier, status, version, result, model_info, content_code, cost_cents, completed_at)
|
||||
VALUES (
|
||||
219679774354706432,
|
||||
'basic',
|
||||
'succeeded',
|
||||
1,
|
||||
'{
|
||||
"diagnosis": {
|
||||
"dimensions": [
|
||||
{"number": 1, "key": "gender", "status": "ok", "value": "女", "confidence": 1.0, "evidence": "问卷填写"},
|
||||
{"number": 2, "key": "height_weight", "status": "ok", "value": "165cm / 52kg", "confidence": 1.0, "evidence": "问卷填写"},
|
||||
{"number": 5, "key": "body_shape", "status": "ok", "value": "沙漏型（X 型）", "confidence": 0.86, "evidence": "肩胯宽度接近，腰线明显，腰臀比约 0.72"},
|
||||
{"number": 8, "key": "face_shape", "status": "ok", "value": "鹅蛋脸", "confidence": 0.9, "evidence": "脸长宽比约 1.4，下颌线条流畅"},
|
||||
{"number": 12, "key": "skin_tone", "status": "ok", "value": "中性二白", "confidence": 0.82, "evidence": "面部 Lab 采样 L*=68.3，色相偏中性"},
|
||||
{"number": 17, "key": "season_code", "status": "ok", "value": "浅春型", "confidence": 0.78, "evidence": "中明度、中低彩度、偏暖，对比度中等"},
|
||||
{"number": 19, "key": "best_colors", "status": "ok", "value": [{"hex": "#F5CBA7", "name_cn": "杏色"}, {"hex": "#A9CCE3", "name_cn": "雾霾蓝"}, {"hex": "#F1948A", "name_cn": "珊瑚粉"}, {"hex": "#D5DBDB", "name_cn": "浅灰"}], "confidence": 0.8, "evidence": "浅春色板映射"},
|
||||
{"number": 21, "key": "avoid_colors", "status": "ok", "value": [{"hex": "#1B2631", "name_cn": "深炭黑"}, {"hex": "#7B241C", "name_cn": "酒红"}], "confidence": 0.75, "evidence": "高对比深色压气色"},
|
||||
{"number": 25, "key": "gene_style", "status": "ok", "value": "少女型", "confidence": 0.72, "evidence": "轮廓偏曲、量感中小、动静偏静"},
|
||||
{"number": 26, "key": "psyche_style", "status": "ok", "value": "优雅知性", "confidence": 0.88, "evidence": "问卷风格偏好聚类"},
|
||||
{"number": 27, "key": "fusion_style_name", "status": "ok", "value": "清甜优雅风", "confidence": 0.8, "evidence": "基因风格 × 心理风格规则融合"},
|
||||
{"number": 28, "key": "core_goals", "status": "ok", "value": ["通勤得体", "约会加分", "显瘦"], "confidence": 0.95, "evidence": "问卷核心诉求"},
|
||||
{"number": 31, "key": "hair_status", "status": "skipped", "value": null, "evidence": "初级版未覆盖"}
|
||||
]
|
||||
},
|
||||
"copy": {
|
||||
"summary": "你是典型的浅春型清甜优雅风：鹅蛋脸配沙漏身形，底色干净、对比柔和。穿搭上抓住「浅色暖调 + 柔线条 + 高腰线」三件事，通勤与约会场景都能稳定出彩。",
|
||||
"sections": [
|
||||
{"title": "色彩建议", "paragraphs": ["最佳色以浅春暖调为主：杏色、珊瑚粉、雾霾蓝都能提亮气色；浅灰作为中性过渡色安全百搭。", "避雷深炭黑与酒红这类高对比深色——它们会让你的面部显得疲惫，如需深色，请用驼色或燕麦色替代。"]},
|
||||
{"title": "版型与搭配", "paragraphs": ["沙漏型身材的重点是「顺腰线」：收腰连衣裙、高腰 A 字裙、短外套配高腰下装都是你的优势版型。", "避免直身廓形与 oversized 上衣完全盖住腰线；若要穿宽松款，用腰带或塞衣角点出腰的位置。"]},
|
||||
{"title": "风格落地", "paragraphs": ["你的融合风格是「清甜优雅风」：少女感来自于柔线条与浅亮色，优雅感来自于简洁剪裁与低饱和配色。", "通勤场景建议：雾霾蓝衬衫 + 浅灰高腰西裤 + 杏色针织外套；约会场景建议：珊瑚粉收腰连衣裙 + 珍珠耳饰。"]}
|
||||
]
|
||||
}
|
||||
}'::jsonb,
|
||||
'{"pipeline": "seed-for-pdf-e2e"}'::jsonb,
|
||||
'PDFE2E01',
|
||||
0,
|
||||
now()
|
||||
);
|
||||
SELECT report_id, status, content_code FROM rp_report;
|
||||
@@ -0,0 +1,233 @@
|
||||
"""报告 PDF 导出（Phase A）的单测：渲染器与路由接线，不连库不发网。
|
||||
|
||||
- 渲染器：构造样例 result（32 维，ok/skipped 混合 + 色卡维度）→ 断言
|
||||
输出为合法 PDF 头且非空；产物缺 copy → 40900；url_fetcher 全拒。
|
||||
- 路由：参照 test_admin_app.py 的方式——create_app + ASGITransport +
|
||||
dependency_overrides 换假服务，只验证接线与信封/错误码透传；
|
||||
真实的资格/幂等/配额语义由 E2E 与后续集成测试覆盖。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator
|
||||
from contextlib import asynccontextmanager
|
||||
from datetime import UTC, datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import httpx
|
||||
import pytest
|
||||
from fastapi import FastAPI
|
||||
|
||||
from apps.api.deps import current_user_id
|
||||
from apps.api.main import create_app
|
||||
from apps.api.routers.reports import report_export_service_dep
|
||||
from packages.report.dimensions import DIMENSIONS
|
||||
from packages.report.export_service import ExportFile, ExportSubmission
|
||||
from packages.report.pdf.renderer import (
|
||||
ReportPdfMeta,
|
||||
_reject_all_urls,
|
||||
render_report_pdf,
|
||||
)
|
||||
from packages.shared.errors import AppError, ErrorCode
|
||||
|
||||
META = ReportPdfMeta(report_id=101, version=1, generated_at=datetime(2026, 8, 29, 8, 0, tzinfo=UTC))
|
||||
|
||||
|
||||
def _sample_result() -> dict[str, Any]:
|
||||
"""与流水线产物同构的最小样例：21 项 ok（含色卡维度），11 项 skipped。"""
|
||||
dimensions: list[dict[str, Any]] = []
|
||||
for spec in DIMENSIONS:
|
||||
if spec.basic_coverage == "none":
|
||||
dimensions.append(
|
||||
{
|
||||
"number": spec.number,
|
||||
"key": spec.key,
|
||||
"value": None,
|
||||
"confidence": 0.0,
|
||||
"source": "none",
|
||||
"evidence": "初级版报告不覆盖该维度",
|
||||
"rule_hits": [],
|
||||
"status": "skipped",
|
||||
}
|
||||
)
|
||||
continue
|
||||
value: Any = f"{spec.name_cn}样例结论"
|
||||
if spec.key == "best_colors":
|
||||
value = [
|
||||
{"hex": "#A8C3A0", "name_cn": "鼠尾草绿"},
|
||||
{"hex": "#D8B4A0", "name_cn": "裸粉"},
|
||||
]
|
||||
dimensions.append(
|
||||
{
|
||||
"number": spec.number,
|
||||
"key": spec.key,
|
||||
"value": value,
|
||||
"confidence": 0.9,
|
||||
"source": spec.source,
|
||||
"evidence": "问卷与视觉分析一致",
|
||||
"rule_hits": [],
|
||||
"status": "ok",
|
||||
}
|
||||
)
|
||||
return {
|
||||
"diagnosis": {"dimensions": dimensions, "coverage": {"basic_full": 10, "total": 32}},
|
||||
"copy": {
|
||||
"summary": "你的整体气质偏向自然优雅，适合柔和明亮的色彩搭配。",
|
||||
"sections": [
|
||||
{
|
||||
"title": "个人风格核心诊断",
|
||||
"paragraphs": ["第一段样例文案。", "第二段样例文案。"],
|
||||
},
|
||||
{"title": "身材分析与穿搭指南", "paragraphs": ["第三段样例文案。"]},
|
||||
],
|
||||
"model": "unit-test",
|
||||
"prompt_version": "v1",
|
||||
"dropped_keys": [],
|
||||
},
|
||||
"validation": {
|
||||
"passed": True,
|
||||
"checks": {"pejorative": 0, "consistency": 0, "absolute": 0},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
# --- 渲染器 ---------------------------------------------------------------
|
||||
|
||||
|
||||
def test_render_produces_pdf_with_cjk_content() -> None:
|
||||
pdf = render_report_pdf(_sample_result(), meta=META)
|
||||
assert pdf.startswith(b"%PDF-")
|
||||
# Noto CJK 子集嵌入后体积不可能只有几 KB；阈值防「渲染出空壳」退化。
|
||||
assert len(pdf) > 20_000
|
||||
|
||||
|
||||
def test_render_rejects_result_without_copy() -> None:
|
||||
with pytest.raises(AppError) as excinfo:
|
||||
render_report_pdf({"diagnosis": {"dimensions": []}}, meta=META)
|
||||
assert excinfo.value.code is ErrorCode.STATE_CONFLICT
|
||||
|
||||
|
||||
def test_url_fetcher_rejects_everything_including_file_scheme() -> None:
|
||||
# SSRF 面：模板不允许任何外部资源，含 file:// 本地文件。
|
||||
for url in ("https://evil.example/x.png", "file:///etc/passwd"):
|
||||
with pytest.raises(ValueError, match="不允许加载外部资源"):
|
||||
_reject_all_urls(url)
|
||||
|
||||
|
||||
# --- 路由接线（假服务，不连库） --------------------------------------------
|
||||
|
||||
|
||||
class _FakeExportService:
|
||||
def __init__(self) -> None:
|
||||
self.create_calls: list[dict[str, Any]] = []
|
||||
self.behavior: str = "ok"
|
||||
self.export_file: ExportFile | None = None
|
||||
|
||||
async def create_export(self, **kwargs: Any) -> ExportSubmission:
|
||||
self.create_calls.append(kwargs)
|
||||
if self.behavior == "not_succeeded":
|
||||
raise AppError(ErrorCode.STATE_CONFLICT, message="只有已完成的报告可以导出 PDF")
|
||||
if self.behavior == "degraded":
|
||||
raise AppError(ErrorCode.LLM_SCENE_DEGRADED)
|
||||
return ExportSubmission(
|
||||
task_id=987654321098765432, report_id=kwargs["report_id"], status="pending"
|
||||
)
|
||||
|
||||
async def get_export_file(self, **kwargs: Any) -> ExportFile:
|
||||
if self.export_file is None:
|
||||
raise AppError(ErrorCode.REPORT_EXPORT_NOT_READY)
|
||||
return self.export_file
|
||||
|
||||
|
||||
@asynccontextmanager
|
||||
async def _client(app: FastAPI) -> AsyncIterator[httpx.AsyncClient]:
|
||||
"""不进 lifespan：单测不建 DB engine / LLM 网关，只测装配与信封。"""
|
||||
transport = httpx.ASGITransport(app=app)
|
||||
async with httpx.AsyncClient(transport=transport, base_url="http://test") as http:
|
||||
yield http
|
||||
|
||||
|
||||
def _build_app(service: _FakeExportService) -> FastAPI:
|
||||
app = create_app()
|
||||
app.dependency_overrides[current_user_id] = lambda: 42
|
||||
app.dependency_overrides[report_export_service_dep] = lambda: service
|
||||
return app
|
||||
|
||||
|
||||
_AUTH = {"Authorization": "Bearer unit-test-token"}
|
||||
|
||||
|
||||
async def test_export_endpoint_returns_task_envelope() -> None:
|
||||
service = _FakeExportService()
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.post(
|
||||
"/api/v1/reports/101/export", json={"request_key": "k-1"}, headers=_AUTH
|
||||
)
|
||||
assert resp.status_code == 200
|
||||
body = resp.json()
|
||||
assert body["code"] == 0
|
||||
assert body["data"]["task_id"] == "987654321098765432"
|
||||
assert body["data"]["status"] == "pending"
|
||||
assert service.create_calls == [{"user_id": 42, "report_id": 101, "request_key": "k-1"}]
|
||||
|
||||
|
||||
async def test_export_endpoint_fills_request_key_when_absent() -> None:
|
||||
service = _FakeExportService()
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.post("/api/v1/reports/101/export", json={}, headers=_AUTH)
|
||||
assert resp.status_code == 200
|
||||
key = service.create_calls[0]["request_key"]
|
||||
assert str(key).startswith("report-export:42:101:")
|
||||
|
||||
|
||||
async def test_export_endpoint_propagates_state_conflict_as_40900() -> None:
|
||||
service = _FakeExportService()
|
||||
service.behavior = "not_succeeded"
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.post("/api/v1/reports/101/export", json={}, headers=_AUTH)
|
||||
assert resp.status_code == 409
|
||||
assert resp.json()["code"] == 40900
|
||||
|
||||
|
||||
async def test_export_endpoint_propagates_scene_degraded_as_60006() -> None:
|
||||
# 熔断（tier2 起 hd_export 被拦）经服务透传到统一信封。
|
||||
service = _FakeExportService()
|
||||
service.behavior = "degraded"
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.post("/api/v1/reports/101/export", json={}, headers=_AUTH)
|
||||
assert resp.status_code == 503
|
||||
assert resp.json()["code"] == 60006
|
||||
|
||||
|
||||
async def test_export_requires_authentication() -> None:
|
||||
async with _client(create_app()) as client:
|
||||
resp = await client.post("/api/v1/reports/101/export", json={})
|
||||
assert resp.status_code == 401
|
||||
assert resp.json()["code"] == 40100
|
||||
resp = await client.get("/api/v1/reports/101/export/download")
|
||||
assert resp.status_code == 401
|
||||
assert resp.json()["code"] == 40100
|
||||
|
||||
|
||||
async def test_download_streams_pdf_with_content_disposition(tmp_path: Path) -> None:
|
||||
pdf_path = tmp_path / "var" / "exports" / "report_101_v1.pdf"
|
||||
pdf_path.parent.mkdir(parents=True)
|
||||
pdf_path.write_bytes(b"%PDF-1.7\nunit-test-bytes")
|
||||
service = _FakeExportService()
|
||||
service.export_file = ExportFile(path=pdf_path, filename="美搭形象报告-v1.pdf")
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.get("/api/v1/reports/101/export/download", headers=_AUTH)
|
||||
assert resp.status_code == 200
|
||||
assert resp.headers["content-type"] == "application/pdf"
|
||||
assert resp.content.startswith(b"%PDF-")
|
||||
# 中文文件名必须走 RFC 5987 的 filename* 编码段
|
||||
assert "filename*" in resp.headers["content-disposition"]
|
||||
|
||||
|
||||
async def test_download_before_export_is_40421() -> None:
|
||||
service = _FakeExportService()
|
||||
async with _client(_build_app(service)) as client:
|
||||
resp = await client.get("/api/v1/reports/101/export/download", headers=_AUTH)
|
||||
assert resp.status_code == 404
|
||||
assert resp.json()["code"] == 40421
|
||||
@@ -3,7 +3,8 @@ revision = 3
|
||||
requires-python = ">=3.12"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
"python_full_version >= '3.13' and python_full_version < '3.15'",
|
||||
"python_full_version < '3.13'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -176,6 +177,65 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/cb/87/8bab77b323f16d67be364031220069f79159117dd5e43eeb4be2fef1ac9b/billiard-4.2.4-py3-none-any.whl", hash = "sha256:525b42bdec68d2b983347ac312f892db930858495db601b5836ac24e6477cde5", size = 87070, upload-time = "2025-11-30T13:28:47.016Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "brotli"
|
||||
version = "1.2.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f7/16/c92ca344d646e71a43b8bb353f0a6490d7f6e06210f8554c8f874e454285/brotli-1.2.0.tar.gz", hash = "sha256:e310f77e41941c13340a95976fe66a8a95b01e783d430eeaf7a2f87e0a57dd0a", size = 7388632, upload-time = "2025-11-05T18:39:42.86Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/11/ee/b0a11ab2315c69bb9b45a2aaed022499c9c24a205c3a49c3513b541a7967/brotli-1.2.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:35d382625778834a7f3061b15423919aa03e4f5da34ac8e02c074e4b75ab4f84", size = 861543, upload-time = "2025-11-05T18:38:24.183Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/2f/29c1459513cd35828e25531ebfcbf3e92a5e49f560b1777a9af7203eb46e/brotli-1.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7a61c06b334bd99bc5ae84f1eeb36bfe01400264b3c352f968c6e30a10f9d08b", size = 444288, upload-time = "2025-11-05T18:38:25.139Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/6f/feba03130d5fceadfa3a1bb102cb14650798c848b1df2a808356f939bb16/brotli-1.2.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:acec55bb7c90f1dfc476126f9711a8e81c9af7fb617409a9ee2953115343f08d", size = 1528071, upload-time = "2025-11-05T18:38:26.081Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2b/38/f3abb554eee089bd15471057ba85f47e53a44a462cfce265d9bf7088eb09/brotli-1.2.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:260d3692396e1895c5034f204f0db022c056f9e2ac841593a4cf9426e2a3faca", size = 1626913, upload-time = "2025-11-05T18:38:27.284Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/03/a7/03aa61fbc3c5cbf99b44d158665f9b0dd3d8059be16c460208d9e385c837/brotli-1.2.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:072e7624b1fc4d601036ab3f4f27942ef772887e876beff0301d261210bca97f", size = 1419762, upload-time = "2025-11-05T18:38:28.295Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/1b/0374a89ee27d152a5069c356c96b93afd1b94eae83f1e004b57eb6ce2f10/brotli-1.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:adedc4a67e15327dfdd04884873c6d5a01d3e3b6f61406f99b1ed4865a2f6d28", size = 1484494, upload-time = "2025-11-05T18:38:29.29Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cf/57/69d4fe84a67aef4f524dcd075c6eee868d7850e85bf01d778a857d8dbe0a/brotli-1.2.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:7a47ce5c2288702e09dc22a44d0ee6152f2c7eda97b3c8482d826a1f3cfc7da7", size = 1593302, upload-time = "2025-11-05T18:38:30.639Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/3b/39e13ce78a8e9a621c5df3aeb5fd181fcc8caba8c48a194cd629771f6828/brotli-1.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:af43b8711a8264bb4e7d6d9a6d004c3a2019c04c01127a868709ec29962b6036", size = 1487913, upload-time = "2025-11-05T18:38:31.618Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/62/28/4d00cb9bd76a6357a66fcd54b4b6d70288385584063f4b07884c1e7286ac/brotli-1.2.0-cp312-cp312-win32.whl", hash = "sha256:e99befa0b48f3cd293dafeacdd0d191804d105d279e0b387a32054c1180f3161", size = 334362, upload-time = "2025-11-05T18:38:32.939Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1c/4e/bc1dcac9498859d5e353c9b153627a3752868a9d5f05ce8dedd81a2354ab/brotli-1.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:b35c13ce241abdd44cb8ca70683f20c0c079728a36a996297adb5334adfc1c44", size = 369115, upload-time = "2025-11-05T18:38:33.765Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6c/d4/4ad5432ac98c73096159d9ce7ffeb82d151c2ac84adcc6168e476bb54674/brotli-1.2.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:9e5825ba2c9998375530504578fd4d5d1059d09621a02065d1b6bfc41a8e05ab", size = 861523, upload-time = "2025-11-05T18:38:34.67Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/9f/9cc5bd03ee68a85dc4bc89114f7067c056a3c14b3d95f171918c088bf88d/brotli-1.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0cf8c3b8ba93d496b2fae778039e2f5ecc7cff99df84df337ca31d8f2252896c", size = 444289, upload-time = "2025-11-05T18:38:35.6Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/b6/fe84227c56a865d16a6614e2c4722864b380cb14b13f3e6bef441e73a85a/brotli-1.2.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8565e3cdc1808b1a34714b553b262c5de5fbda202285782173ec137fd13709f", size = 1528076, upload-time = "2025-11-05T18:38:36.639Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/55/de/de4ae0aaca06c790371cf6e7ee93a024f6b4bb0568727da8c3de112e726c/brotli-1.2.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:26e8d3ecb0ee458a9804f47f21b74845cc823fd1bb19f02272be70774f56e2a6", size = 1626880, upload-time = "2025-11-05T18:38:37.623Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/16/a1b22cbea436642e071adcaf8d4b350a2ad02f5e0ad0da879a1be16188a0/brotli-1.2.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:67a91c5187e1eec76a61625c77a6c8c785650f5b576ca732bd33ef58b0dff49c", size = 1419737, upload-time = "2025-11-05T18:38:38.729Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/46/63/c968a97cbb3bdbf7f974ef5a6ab467a2879b82afbc5ffb65b8acbb744f95/brotli-1.2.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4ecdb3b6dc36e6d6e14d3a1bdc6c1057c8cbf80db04031d566eb6080ce283a48", size = 1484440, upload-time = "2025-11-05T18:38:39.916Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/06/9d/102c67ea5c9fc171f423e8399e585dabea29b5bc79b05572891e70013cdd/brotli-1.2.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3e1b35d56856f3ed326b140d3c6d9db91740f22e14b06e840fe4bb1923439a18", size = 1593313, upload-time = "2025-11-05T18:38:41.24Z" },
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Reference in New Issue
Block a user