149 lines
4.9 KiB
Python
149 lines
4.9 KiB
Python
#!/usr/bin/env python3
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"""
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统计 Jellyfin 中每个演员出演的作品数量，找出超过指定阈值的演员。
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结果保存为 JSON 和 Markdown 文档。
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"""
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import json
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import os
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import sys
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import time
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import urllib.request
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# ====== 配置 ======
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JELLYFIN_BASE = "http://192.168.3.5:8096"
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AUTH_HEADER = 'MediaBrowser Client="OpenClaw", Device="PC", DeviceId="openclaw", Version="1.0", Token="8cbcfe4d7d294c8aa00412ccc853459f"'
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USER_ID = "0f2540701e884852a2d2a1b7e63299e8"
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MIN_MOVIES = 5
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OUTPUT_DIR = "/mnt/f/docs"
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# 需要检查的媒体类型
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MEDIA_TYPES = "Movie,Series,Episode,Video"
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def api_get(path, params=None):
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"""通用 GET 请求"""
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url = JELLYFIN_BASE + path
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if params:
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parts = []
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for k, v in params.items():
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if isinstance(v, bool):
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v = "true" if v else "false"
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elif isinstance(v, int):
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v = str(v)
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parts.append(f"{k}={urllib.request.quote(str(v))}")
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url += "?" + "&".join(parts)
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req = urllib.request.Request(url)
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req.add_header("X-Emby-Authorization", AUTH_HEADER)
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try:
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with urllib.request.urlopen(req, timeout=30) as resp:
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return json.loads(resp.read())
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except urllib.error.HTTPError as e:
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body = e.read().decode(errors="replace") if e.fp else ""
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print(f" HTTP {e.code}: {e.reason} | {body[:200]}", file=sys.stderr)
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return None
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except Exception as e:
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print(f" Error: {e}", file=sys.stderr)
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return None
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def main():
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print("=== 获取所有演员 ===", file=sys.stderr)
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# Persons API 无 limit 时返回全部
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data = api_get("/Persons")
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if not data:
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print("ERROR: 无法获取演员列表", file=sys.stderr)
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sys.exit(1)
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persons = data.get("Items", [])
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total_count = data.get("TotalRecordCount", len(persons))
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print(f"总计 {total_count} 个演员，获取到 {len(persons)} 条", file=sys.stderr)
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results = []
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total = len(persons)
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for i, p in enumerate(persons, 1):
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name = p["Name"]
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pid = p["Id"]
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has_image = bool(p.get("ImageTags", {}))
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# 查询该演员出演的媒体数量
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movie_data = api_get(f"/Users/{USER_ID}/Items", {
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"personIds": pid,
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"recursive": True,
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"includeItemTypes": MEDIA_TYPES,
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"limit": 0,
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})
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count = movie_data.get("TotalRecordCount", 0) if movie_data else 0
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if count >= MIN_MOVIES:
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results.append({
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"name": name,
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"id": pid,
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"movie_count": count,
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"has_image": has_image,
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})
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if i % 30 == 0 or i == total:
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print(f" 进度: {i}/{total} | 已找到 {len(results)} 人超过 {MIN_MOVIES} 部", file=sys.stderr)
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time.sleep(0.03)
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# 排序：作品数降序 → 姓名升序
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results.sort(key=lambda x: (-x["movie_count"], x["name"]))
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# ====== JSON ======
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json_path = os.path.join(OUTPUT_DIR, "jellyfin_actor_stats.json")
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with open(json_path, "w", encoding="utf-8") as f:
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json.dump({
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"total_persons": total_count,
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"fetched_persons": len(persons),
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"threshold": MIN_MOVIES,
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"actors_above_threshold": len(results),
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"generated_at": time.strftime("%Y-%m-%dT%H:%M:%S%z"),
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"actors": results,
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}, f, ensure_ascii=False, indent=2)
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print(f"\n✅ JSON: {json_path}", file=sys.stderr)
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# ====== Markdown ======
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md_path = os.path.join(OUTPUT_DIR, "jellyfin_actor_stats.md")
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with open(md_path, "w", encoding="utf-8") as f:
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f.write("# Jellyfin 演员作品统计\n\n")
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f.write(f"- **演员总数**：{total_count}\n")
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f.write(f"- **统计阈值**：作品数 **> {MIN_MOVIES}** 部\n")
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f.write(f"- **满足条件的演员**：**{len(results)}** 人\n")
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f.write(f"- **统计时间**：{time.strftime('%Y-%m-%d %H:%M:%S')}\n\n")
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f.write("---\n\n")
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# 用序号代表排名
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rank = 0
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prev = None
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same_rank_start = 0
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for idx, a in enumerate(results):
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if a["movie_count"] != prev:
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rank = idx + 1
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prev = a["movie_count"]
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img = "✅" if a["has_image"] else "❌"
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f.write(f"| {rank} | {a['name']} | {a['movie_count']} | {img} |\n")
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f.write("\n\n---\n\n")
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f.write("*由脚本 `jellyfin_actor_stats.py` 自动生成*\n")
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print(f"✅ Markdown: {md_path}", file=sys.stderr)
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print(f"\n=== 结果摘要 ===", file=sys.stderr)
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print(f"演员总数: {total_count}", file=sys.stderr)
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print(f"超过 {MIN_MOVIES} 部: {len(results)} 人", file=sys.stderr)
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top_n = min(20, len(results))
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print(f"\n--- Top {top_n} ---", file=sys.stderr)
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for a in results[:top_n]:
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img = "🖼️" if a["has_image"] else " "
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print(f" #{rank:3d} {a['name']:30s} {a['movie_count']:4d} 部 {img}", file=sys.stderr)
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if __name__ == "__main__":
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main()
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