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d646dd7 95f5290 d646dd7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | """批次媒体视图缓存(media-groups / hand-3d 元信息响应)。
审核页每次点击视频,后端都要在批次目录(SSHFS 远程挂载)上做多次全目录
递归(glove parquet / 深度 PNG / hand_3d 产物)并读取 parquet 采样 —— 这是
"点击别的视频加载很慢"的主要来源。批次内容在两次上传 / 工作流 run 之间
不变,因此按批次缓存组装好的响应,并在结构变化时显式失效:
- 上传(含同名重传)完成 → session.py 上传提交后
- reprocess 入队 → routes/ingestion.py episode_reprocess
- run 完成(产物已替换) → api/worker.py complete_job
TTL 是兜底自愈:任何未接失效钩子的外部改动会在到期后自然重建。
"""
from __future__ import annotations
import copy
import threading
import time
_lock = threading.Lock()
_MEDIA_GROUPS: dict[str, tuple[float, dict]] = {}
_HAND3D_META: dict[str, tuple[float, dict]] = {}
_TTL = 3600.0 # 兜底自愈;正常路径由 invalidate_episode 显式失效(hand-3d meta 冷计算 ~20s,10min 太短)
def _fresh(entry: tuple[float, dict] | None, now: float) -> bool:
return entry is not None and now - entry[0] < _TTL
def get_media_groups(episode_id: str) -> dict | None:
with _lock:
entry = _MEDIA_GROUPS.get(str(episode_id))
if _fresh(entry, time.monotonic()):
return copy.deepcopy(entry[1])
return None
def set_media_groups(episode_id: str, payload: dict) -> None:
with _lock:
_MEDIA_GROUPS[str(episode_id)] = (time.monotonic(), copy.deepcopy(payload))
def get_hand3d_meta(episode_id: str) -> dict | None:
with _lock:
entry = _HAND3D_META.get(str(episode_id))
if _fresh(entry, time.monotonic()):
return copy.deepcopy(entry[1])
return None
def set_hand3d_meta(episode_id: str, payload: dict) -> None:
with _lock:
_HAND3D_META[str(episode_id)] = (time.monotonic(), copy.deepcopy(payload))
def invalidate_episode(episode_id: str) -> None:
"""批次结构/产物变化(上传替换、reprocess 入队、run 完成)后调用。"""
key = str(episode_id)
with _lock:
_MEDIA_GROUPS.pop(key, None)
_HAND3D_META.pop(key, None)
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