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xiaoxia-saas/apps/api/app/api/routes/generation_cover.py
T
saas-backend-agent d6a2715a26
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feat: 封面智能选帧 — 帧质量评分(清晰度/亮度/色彩)
P1-后端2:封面智能选帧

新增 cover_frame_scorer.py:
- score_frame(): 评估单帧质量 0~100 分
  - 清晰度 (0~40): 拉普拉斯方差,越高越清晰
  - 亮度 (0~30): 80~180 舒适区间满分
  - 色彩丰富度 (0~30): RGB 三维直方图非零 bin
- score_frames(): 批量评分+排序
- select_best_frame(): 选出最佳帧
- 降级策略:cv2 不可用时返回 50.0 默认分

修改 thumbnail_generator.py:
- extract_and_upload_cover_frames: num_frames=3→5
- 抽帧后对所有候选帧进行质量评分
- 按分数从高到低排序返回
- 统一临时文件管理(评分后清理)

修改 generation_cover.py:
- E1/E2 步骤 max_frames=1→5
- 新增 _select_best_frame_from_snapshots() 辅助函数
- MediaKit 抽多帧后通过质量评分选最佳

修改 render_adapter.py:
- 调用 extract_and_upload_cover_frames 时 num_frames=5

测试:test_cover_frame_scorer.py(18 个测试)
2026-09-07 18:18:19 +08:00

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"""封面生成路由 — Generation 模块.
端点:
- POST /generate-cover AI 生成封面(从最终成片视频中抽帧,兼容预览片段回退)
挂载路径: /api/v1/generation/generate-cover
"""
from __future__ import annotations
import ipaddress
import logging
import re
from typing import Any, List, Optional
from urllib.parse import urlparse
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session, get_generated_video_repository
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
from packages.application import ListGeneratedVideosByTaskUseCase
from packages.domain.config_schemas import normalize_plan_config
from packages.shared.storage import get_shared_storage_service
from .templates_editor.dependencies import get_draft_plan_id, get_editor_services
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Generation"])
# ── Schemas ──────────────────────────────────────────────────────────────
class GenerateCoverRequest(BaseModel):
"""AI 封面生成请求体"""
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表(确定视频来源)")
cover_type: str = Field(
default="ai_frame",
description="封面类型: ai_frame / manual / upload / ai_regenerate",
)
frame_time: Optional[float] = Field(
default=None,
ge=0.0,
description="手动选帧时间点(秒),仅 cover_type=manual 时有效",
)
cover_url: Optional[str] = Field(
default=None,
description="上传的封面图片 URL,仅 cover_type=upload 时有效",
)
generated_video_id: Optional[str] = Field(
default=None,
description="确认生成产出的最终视频 ID。传入后封面从该视频文件抽帧,而非预览片段。",
)
video_url: Optional[str] = Field(
default=None,
description="最终视频 URL(兜底)。当 generated_video_id 不可用时,直接从此 URL 对应的视频抽帧。",
)
class GenerateCoverResponse(BaseModel):
"""AI 封面生成响应体"""
plan_id: str = Field(..., description="剪辑计划 ID")
cover: dict[str, Any] = Field(..., description="封面数据(type / image_url / frame_time 等)")
# ── Route ────────────────────────────────────────────────────────────────
def _select_best_frame_from_snapshots(
snapshots: list[dict], plan_id: str
) -> str:
"""从 MediaKit 抽帧结果中,通过质量评分选出最佳帧。
降级策略:cv2 不可用或评分失败时,返回第一帧。
Args:
snapshots: MediaKit 返回的帧列表 [{"image_url": str, ...}, ...]
plan_id: 计划 ID(日志用)
Returns:
最佳帧的 image_url,或空字符串
"""
if not snapshots:
return ""
if len(snapshots) == 1:
return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
try:
import tempfile
import httpx
from packages.shared.cover_frame_scorer import score_frames
scored_candidates = []
for snap in snapshots:
url = snap.get("image_url") or snap.get("url") or ""
if not url:
continue
# 下载帧到临时文件进行评分
try:
resp = httpx.get(url, timeout=15, follow_redirects=True)
resp.raise_for_status()
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
tmp.write(resp.content)
tmp_path = tmp.name
scored_candidates.append({"image_path": tmp_path, "url": url})
except Exception:
# 下载失败的帧跳过,给默认低分
scored_candidates.append({"image_path": None, "url": url, "score": 0.0})
if not scored_candidates:
return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
scored = score_frames(scored_candidates)
best = scored[0] if scored else None
best_url = best.get("url", "") if best else ""
best_score = best.get("score", 0.0) if best else 0.0
logger.info(
"[封面生成] 帧质量评分完成: plan_id=%s candidates=%d best_score=%.1f",
plan_id,
len(scored_candidates),
best_score,
)
# 清理临时文件
for c in scored_candidates:
path = c.get("image_path")
if path:
try:
from pathlib import Path
Path(path).unlink(missing_ok=True)
except Exception:
pass
return best_url
except Exception:
logger.warning(
"[封面生成] 帧质量评分失败,使用第一帧: plan_id=%s",
plan_id,
exc_info=True,
)
return snapshots[0].get("image_url") or snapshots[0].get("url") or ""
def _persist_cover_frame(
frame_url: str,
plan_id: str,
title_text: str = "",
*,
title_color: str = "#ffffff",
title_position: str = "bottom",
title_font_size: int | None = None,
) -> str:
"""下载 MediaKit 返回的临时帧图,可选叠加标题后转存到 OSS covers/ 路径。
Args:
frame_url: MediaKit 返回的临时帧图 URL
plan_id: 剪辑计划 ID(生成 OSS key)
title_text: 非空时用 Pillow 在帧上叠加标题(用于 E2 从源素材抽帧,
因为源素材本身没有烧录标题)
title_color: 标题字体颜色(#RRGGBB)
title_position: 标题位置 top/center/bottom
title_font_size: 标题字号,None 时自动计算
"""
import tempfile
import uuid
from pathlib import Path
tmp_path: str | None = None
try:
import httpx
resp = httpx.get(frame_url, timeout=30, follow_redirects=True)
resp.raise_for_status()
if not resp.content:
return frame_url
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
tmp.write(resp.content)
tmp_path = tmp.name
# E2 从源素材抽帧时,源素材无标题,叠加标题文字
if title_text and title_text.strip():
try:
from packages.shared.title_overlay import apply_title_to_image
applied = apply_title_to_image(
tmp_path,
title_text,
color=title_color,
position=title_position,
font_size=title_font_size,
)
if applied:
logger.info("[封面生成] E2 帧图已叠加标题: plan_id=%s", plan_id)
except Exception:
logger.warning(
"[封面生成] E2 标题叠加失败(返回无标题帧): plan_id=%s",
plan_id,
exc_info=True,
)
storage = get_shared_storage_service()
cover_key = f"covers/{plan_id}/cover_{uuid.uuid4().hex[:8]}.jpg"
storage.upload_file(
file_or_path=tmp_path,
storage_key=cover_key,
content_type="image/jpeg",
)
public_url = storage.get_url(cover_key)
return public_url or frame_url
except Exception:
logger.warning("封面帧转存失败,返回原始 URL: plan_id=%s", plan_id, exc_info=True)
return frame_url
finally:
if tmp_path:
Path(tmp_path).unlink(missing_ok=True)
def _get_task_video_url(db: Session, task_id: str) -> Optional[str]:
"""从 GenerationTask 关联的 GeneratedVideo 中获取视频 storage_key / URL."""
try:
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(task_id)
if videos:
return getattr(videos[0], "file_url", "") or ""
except Exception:
logger.warning("[封面生成] 获取任务视频失败: task_id=%s", task_id, exc_info=True)
return None
def _resolve_storage_key_to_url(storage_key: str) -> Optional[str]:
"""将 storage_key 或完整 URL 转换为可访问的裸 URL。"""
if not storage_key:
return None
try:
if storage_key.startswith("http"):
url = storage_key
else:
storage_svc = get_shared_storage_service()
url = storage_svc.get_url(storage_key)
if url:
url = re.sub(r"(?<!:)//", "/", url)
return url
except Exception as e:
logger.warning("[封面生成] storage_key 转 URL 失败: key=%s err=%s", storage_key, e)
return None
def _endpoint_host(value: str) -> str:
"""从 endpoint / URL 字符串中安全提取主机名(兼容有无 scheme 两种配置)。"""
v = (value or "").strip().lower()
if not v:
return ""
if "://" in v:
return (urlparse(v).hostname or "").lower()
# 无 scheme:去掉可能的端口(host:port),urlparse 补 // 以正确解析
return (urlparse("//" + v).hostname or "").lower()
def _is_private_or_reserved_host(host: str) -> bool:
"""判断主机名是否为内网/回环/链路本地/保留地址(IPv4 与 IPv6 统一处理)。
使用标准库 ipaddress 判定;非 IP 主机名(如 localhost)单独处理。
"""
h = host.strip().lower()
if h in {"localhost", "0.0.0.0", "::", "::1"}:
return True
try:
addr = ipaddress.ip_address(h)
# is_private 覆盖 10/8、172.16/12、192.168/16、127/8、169.254/16、
# ::1、fc00::/7、fe80::/10 等全部私有/保留段
return bool(addr.is_private or addr.is_loopback or addr.is_link_local or addr.is_reserved)
except ValueError:
return False
def _is_trusted_media_url(url: str) -> bool:
"""校验 URL 是否指向受信任的存储域名(OSS bucket / 本地存储),防止 SSRF。
用户可通过 video_url 传入视频地址,但服务端(MediaKit)会主动请求该 URL,
因此必须限制为自家存储域名,拒绝内网地址、元数据地址等任意主机。
"""
if not url:
return False
try:
parsed = urlparse(url.strip())
if parsed.scheme not in ("http", "https"):
return False
host = (parsed.hostname or "").lower()
if not host:
return False
# 拒绝一切内网/回环/链路本地/保留地址(IPv4 + IPv6,标准库判定)
if _is_private_or_reserved_host(host):
return False
# 允许:自家 OSS bucket 域名(<bucket>.<endpoint>)或 endpoint 自身及其子域
try:
storage_svc = get_shared_storage_service()
trusted_hosts = set()
public_base = getattr(storage_svc, "public_url", "") or ""
h1 = _endpoint_host(public_base)
if h1:
trusted_hosts.add(h1)
h2 = _endpoint_host(getattr(storage_svc, "endpoint", "") or "")
if h2:
trusted_hosts.add(h2)
for trusted in trusted_hosts:
if host == trusted or host.endswith("." + trusted):
return True
except Exception:
logger.warning("[封面生成] 存储域名白名单初始化失败,URL 校验从严拒绝", exc_info=True)
return False
return False
except Exception:
logger.warning("[封面生成] video_url 白名单校验异常,从严拒绝: url=%s", url[:80], exc_info=True)
return False
@router.post("/generate-cover", response_model=GenerateCoverResponse)
def generate_cover(
body: GenerateCoverRequest,
template_id: str = Query(..., description="模板 ID"),
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> GenerateCoverResponse:
"""AI 生成封面 — 优先从最终成片视频中抽帧,回退到预览片段.
流程(串行):
1. 优先使用前端传入的 generation_task_id 定位最终成片任务,
或自动查找 plan 关联的已完成最终成片任务(is_preview=False)
2. 回退:从预览片段获取视频 URL(兼容旧流程)
3. 用裸 URL 让 MediaKit 下载视频并抽帧
4. 帧图下载后上传到 OSS covers/ 路径
MediaKit 的调用方式(strategy / max_frames / 轮询 / 重试 / 降级)不变。
"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
# ── upload 类型:直接保存前端上传的封面图片,不需要预览视频 ──────
if body.cover_type == "upload":
if not body.cover_url:
raise HTTPException(
status_code=400,
detail="cover_type=upload 时必须提供 cover_url",
)
cover_data = {
"type": "upload",
"image_url": body.cover_url,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面上传完成: plan_id=%s cover_url=%s by user=%s",
plan_id,
body.cover_url[:80] if body.cover_url else "",
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
# ── 查找用于抽帧的视频 URL ────────────────────────────────────────
# 优先级:
# 0. 请求体显式传入的 generation_task_id(最终成片任务)
# 1. plan.config.rendered_storage_key
# 2. plan.config.generation_task_id 对应的任务
# 3. source_edit_plan_id 关联的已完成「最终成片」任务(is_preview=False)
# 4. source_edit_plan_id 关联的已完成预览任务(is_preview=True,兼容回退)
# 5. user + template 最近的已完成预览任务(兜底)
logger.info("[封面生成] 步骤1: 从 plan.config 查找 rendered_storage_key: plan_id=%s", plan_id)
rendered_storage_key = (plan.config or {}).get("rendered_storage_key", "")
# 步骤 0:请求体传入最终视频标识(generated_video_id 或 video_url)
if not rendered_storage_key:
# 0a:通过 generated_video_id 查找最终成片视频
if body.generated_video_id:
logger.info(
"[封面生成] 步骤0a: 使用 generated_video_id: plan_id=%s video_id=%s",
plan_id,
body.generated_video_id,
)
try:
gv_repo = get_generated_video_repository(db)
gv = gv_repo.get(body.generated_video_id)
if gv:
file_url = getattr(gv, "file_url", "") or ""
if file_url:
# 权限校验(双重,任何一层确认归属不符即拒绝):
# 1) GeneratedVideo.user_id 直接归属(老数据可能为空,为空时不据此放行)
gv_owner = (getattr(gv, "user_id", "") or "").strip()
if gv_owner and gv_owner != current_user.user.id:
raise HTTPException(status_code=403, detail="无权访问该视频")
# 2) 关联 generation_task 归属校验;关联任务缺失时不可静默放行:
# 若 video 自身无 owner 信息且关联任务也查不到,拒绝访问
gv_task_id = getattr(gv, "generation_task_id", "") or ""
task0 = None
if gv_task_id:
try:
task0 = SQLAlchemyGenerationTaskRepository(db).get(gv_task_id)
except Exception:
logger.warning(
"[封面生成] 步骤0a关联任务查询异常: plan_id=%s task_id=%s",
plan_id,
gv_task_id,
exc_info=True,
)
if task0 is not None:
task_owner = (getattr(task0, "created_by_user_id", "") or "").strip()
if task_owner and task_owner != current_user.user.id:
raise HTTPException(status_code=403, detail="无权访问该视频")
elif not gv_owner:
# video 无 owner 且关联任务不存在/无法确认归属 → 拒绝,防止越权
logger.warning(
"[封面生成] 步骤0a视频归属无法确认,拒绝访问: plan_id=%s video_id=%s",
plan_id,
body.generated_video_id,
)
raise HTTPException(status_code=403, detail="无权访问该视频")
rendered_storage_key = file_url
logger.info(
"[封面生成] ✅ 步骤0a找到最终成片: plan_id=%s video_id=%s url=%s",
plan_id,
body.generated_video_id,
file_url[:80],
)
except HTTPException:
raise
except Exception:
logger.warning(
"[封面生成] 步骤0a查找视频失败: plan_id=%s video_id=%s",
plan_id,
body.generated_video_id,
exc_info=True,
)
# 0b:直接使用 video_url(兜底)— 必须通过存储域名白名单校验,防止 SSRF
if not rendered_storage_key and body.video_url:
if _is_trusted_media_url(body.video_url):
logger.info(
"[封面生成] 步骤0b: 使用请求体传入的 video_url(白名单通过): plan_id=%s url=%s",
plan_id,
body.video_url[:80],
)
rendered_storage_key = body.video_url
else:
logger.warning(
"[封面生成] 步骤0b: video_url 不在受信任存储域名白名单内,已忽略: plan_id=%s url=%s",
plan_id,
body.video_url[:80],
)
# 步骤 2:通过 plan.config.generation_task_id 查找
if not rendered_storage_key:
generation_task_id = (plan.config or {}).get("generation_task_id", "")
if generation_task_id:
logger.info(
"[封面生成] 步骤2: 通过 plan.config.generation_task_id 查找: plan_id=%s task_id=%s",
plan_id,
generation_task_id,
)
try:
_repo = SQLAlchemyGenerationTaskRepository(db)
task = _repo.get(generation_task_id)
if task:
rendered_storage_key = _get_task_video_url(db, task.id) or ""
if rendered_storage_key:
logger.info(
"[封面生成] ✅ 步骤2找到视频: plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
rendered_storage_key[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤2查找失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 3:通过 source_edit_plan_id 查找已完成「最终成片」任务(is_preview=False)
if not rendered_storage_key:
try:
_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤3: 查找最终成片任务(is_preview=False): plan_id=%s", plan_id)
all_tasks = _repo.list_by_source_edit_plan(plan_id)
for pt in all_tasks:
if getattr(pt, "status", "") == "completed" and not getattr(pt, "is_preview", False):
rendered_storage_key = _get_task_video_url(db, pt.id) or ""
if rendered_storage_key:
logger.info(
"[封面生成] ✅ 步骤3找到最终成片: plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
rendered_storage_key[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤3查找最终成片失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 4:兼容回退 — 通过 source_edit_plan_id 查找已完成预览任务
if not rendered_storage_key:
try:
_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤4: 回退查找预览任务(is_preview=True): plan_id=%s", plan_id)
preview_tasks = _repo.list_by_source_edit_plan(plan_id)
for pt in preview_tasks:
if getattr(pt, "status", "") == "completed" and getattr(pt, "is_preview", False):
rendered_storage_key = _get_task_video_url(db, pt.id) or ""
if rendered_storage_key:
logger.info(
"[封面生成] ✅ 步骤4找到预览视频: plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
rendered_storage_key[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤4查找预览任务失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 5:按 user + template 查找最近的已完成预览任务(兜底)
if not rendered_storage_key:
try:
_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info(
"[封面生成] 步骤5: 通过 user+template 查找预览任务: plan_id=%s template_id=%s",
plan_id,
template_id,
)
preview_tasks = _repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
if preview_tasks:
rendered_storage_key = _get_task_video_url(db, preview_tasks[0].id) or ""
if rendered_storage_key:
logger.info(
"[封面生成] ✅ 步骤5找到预览视频: plan_id=%s task_id=%s",
plan_id,
preview_tasks[0].id,
)
except Exception:
logger.warning(
"[封面生成] 步骤5 user+template 查找失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 将 storage_key 转换为可访问 URL;找不到视频时不立即报错,
# 因为步骤 E2 可以直接从源素材抽帧(历史数据或 Worker 抽帧失败时的兜底)
primary_video_url = None
if rendered_storage_key:
plan_svc.update_plan_config(plan_id, {"rendered_storage_key": rendered_storage_key})
primary_video_url = _resolve_storage_key_to_url(rendered_storage_key)
logger.info(
"[封面生成] 封面抽帧视频URL: plan_id=%s url=%s",
plan_id,
primary_video_url[:80] if primary_video_url else "",
)
# 统一封面管道:优先从 GenerationTask.cover_url 读取渲染后视频抽帧的封面
# 多步查找 cover_url,和查找视频 URL 一样的 fallback 逻辑
if body.cover_type in ("ai_frame", "ai_regenerate"):
cover_url_from_task = None
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
# 步骤 A:通过 generation_task_id 直接查找
generation_task_id = (plan.config or {}).get("generation_task_id", "")
if generation_task_id:
try:
task = gen_task_repo.get(generation_task_id)
if task and getattr(task, "cover_url", ""): # type: ignore[arg-type]
cover_url_from_task = task.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤A-direct): plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
cover_url_from_task[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤A读取 cover_url 失败: plan_id=%s task_id=%s",
plan_id,
generation_task_id,
exc_info=True,
)
# 步骤 A2:通过 generated_video_id 查找其关联任务的 cover_url
if not cover_url_from_task and body.generated_video_id:
try:
gv_repo = get_generated_video_repository(db)
gv = gv_repo.get(body.generated_video_id)
if gv:
gv_task_id = getattr(gv, "generation_task_id", "") or ""
if gv_task_id:
task_a2 = gen_task_repo.get(gv_task_id)
if task_a2 and getattr(task_a2, "cover_url", ""): # type: ignore[arg-type]
cover_url_from_task = task_a2.cover_url
logger.info(
"[封面生成] 封面(步骤A2-video-task): plan_id=%s video_id=%s url=%s",
plan_id,
body.generated_video_id,
cover_url_from_task[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤A2读取 cover_url 失败: plan_id=%s video_id=%s",
plan_id,
body.generated_video_id,
exc_info=True,
)
# 步骤 B:通过 source_edit_plan_id 查找关联任务的 cover_url
# 优先最终成片任务(is_preview=False),其次预览任务
if not cover_url_from_task:
try:
all_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
# 先找最终成片
for pt in all_tasks:
if (
getattr(pt, "status", "") == "completed"
and not getattr(pt, "is_preview", False)
and getattr(pt, "cover_url", "")
):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 封面(步骤B-final): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
# 再找预览
if not cover_url_from_task:
for pt in all_tasks:
if (
getattr(pt, "status", "") == "completed"
and getattr(pt, "is_preview", False)
and getattr(pt, "cover_url", "")
):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 封面(步骤B-preview): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤B查找 cover_url 失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 C:通过 user+template 查找最近的已完成预览任务的 cover_url
if not cover_url_from_task:
try:
preview_tasks = gen_task_repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
for pt in preview_tasks:
if getattr(pt, "cover_url", ""):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤C-user+template): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤C查找 cover_url 失败: plan_id=%s template_id=%s",
plan_id,
template_id,
exc_info=True,
)
# 步骤 D:从 plan.config.cover_candidates 读取(Worker 渲染时写入)
if not cover_url_from_task:
_candidates = (plan.config or {}).get("cover_candidates") or []
if isinstance(_candidates, list) and _candidates:
_first = _candidates[0]
if isinstance(_first, dict):
cover_url_from_task = _first.get("image_url") or _first.get("url") or ""
if cover_url_from_task:
logger.info(
"[封面生成] 统一管道封面(步骤D-cover_candidates): plan_id=%s url=%s",
plan_id,
cover_url_from_task[:80],
)
# 步骤 E1:如果有已渲染的预览视频 URL 但 cover_url 未持久化(历史数据),
# 直接从渲染视频抽帧
if not cover_url_from_task and primary_video_url:
try:
from packages.shared.mediakit_client import get_mediakit_client
mk_client = get_mediakit_client()
if mk_client.is_available:
logger.info(
"[封面生成] 步骤E1-从渲染视频抽帧: plan_id=%s url=%s",
plan_id,
primary_video_url[:80],
)
snapshots = mk_client.extract_frames(
video_url=primary_video_url,
strategy="SpecifiedFrames",
max_frames=5, # 抽 5 帧,通过质量评分选最佳
poll_interval=2.0,
max_poll_attempts=5,
max_retries=0,
)
if snapshots:
raw = _select_best_frame_from_snapshots(snapshots, plan_id)
if raw:
cover_url_from_task = _persist_cover_frame(raw, plan_id)
logger.info(
"[封面生成] 统一管道封面(步骤E1-rendered-video): plan_id=%s url=%s",
plan_id,
cover_url_from_task[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤E1从渲染视频抽帧失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 E2:当 A/B/C/D/E1 均未命中(如历史预览任务无 cover_url)时,
# 直接从用户选择的第一个视频素材中抽取封面帧作为兜底。API 请求内短超时,不阻塞。
if not cover_url_from_task and body.asset_ids:
from packages.adapters.sqlalchemy_impl.asset_repository import (
SQLAlchemyAssetRepository,
)
from packages.shared.mediakit_client import get_mediakit_client
from packages.shared.storage import get_shared_storage_service
asset_repo = SQLAlchemyAssetRepository(db)
storage_svc = get_shared_storage_service()
mk_client = get_mediakit_client()
# 从 plan.config 读取完整标题样式,E2 从源素材抽帧时叠加(源素材本身无标题)
_e2_title_cfg = (plan.config or {}).get("title", {}) or {}
if not isinstance(_e2_title_cfg, dict):
_e2_title_cfg = {}
_e2_title_text = (_e2_title_cfg.get("text", "") or "").strip() if _e2_title_cfg.get("enabled", True) else ""
# 读取标题样式:前端可能传 color 或 font_color,都兼容
_e2_title_color = _e2_title_cfg.get("color") or _e2_title_cfg.get("font_color") or "#ffffff"
_e2_title_position = _e2_title_cfg.get("position", "bottom") or "bottom"
_e2_title_font_size = _e2_title_cfg.get("font_size") or _e2_title_cfg.get("size")
if mk_client.is_available:
for aid in body.asset_ids:
try:
asset = asset_repo.get(aid)
if not asset or asset.file_type != "video":
continue
sk = asset.storage_key or ""
if not sk:
continue
src_url = sk if sk.startswith("http") else storage_svc.get_url(sk)
if not src_url:
continue
logger.info(
"[封面生成] 步骤E-从素材抽帧: plan_id=%s asset_id=%s url=%s",
plan_id,
aid,
src_url[:80],
)
snapshots = mk_client.extract_frames(
video_url=src_url,
strategy="SpecifiedFrames",
max_frames=5, # 抽 5 帧,通过质量评分选最佳
poll_interval=2.0,
max_poll_attempts=5,
max_retries=0,
)
if snapshots:
raw = _select_best_frame_from_snapshots(snapshots, plan_id)
if raw:
cover_url_from_task = _persist_cover_frame(
raw,
plan_id,
title_text=_e2_title_text,
title_color=_e2_title_color,
title_position=_e2_title_position,
title_font_size=_e2_title_font_size,
)
logger.info(
"[封面生成] 统一管道封面(步骤E-source-asset): plan_id=%s url=%s",
plan_id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤E从素材抽帧失败: plan_id=%s asset_id=%s",
plan_id,
aid,
exc_info=True,
)
if cover_url_from_task:
# 标题已在预览视频渲染时烧录(ASS字幕),封面帧自然包含标题
cover_data: dict[str, object] = { # type: ignore[no-redef]
"type": "ai_frame",
"image_url": cover_url_from_task,
"frame_time": 0.0,
"confidence": 0.95,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
logger.warning(
"[封面生成] 统一管道未找到 cover_url (A/B/C/D均未命中): plan_id=%s",
plan_id,
)
# ai_frame/ai_regenerate 类型必须从渲染管道获取,不再回退到 AI 服务
raise HTTPException(
status_code=400,
detail="封面生成失败:未找到可抽帧的视频素材,请确认已上传视频素材后重试",
)
from packages.shared.ai_service import run_generate_cover
try:
logger.info("[封面生成] 开始调用 AI 封面生成服务: plan_id=%s", plan_id)
cover_data = run_generate_cover(
plan_id=plan_id,
asset_ids=body.asset_ids,
cover_type=body.cover_type,
frame_time=body.frame_time,
primary_video_url=primary_video_url,
)
except RuntimeError as e:
raise HTTPException(status_code=500, detail=str(e)) from e
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面生成完成: template_id=%s plan_id=%s type=%s by user=%s",
template_id,
plan_id,
body.cover_type,
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)