sync from WSL host: latest openclaw config update
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#!/usr/bin/env python3
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"""Jellyfin 重复电影检测脚本
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通过文件名、ProviderIds、文件大小和时长判断重复
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"""
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import requests
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import sys
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from collections import defaultdict
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SERVER_URL = "http://172.25.208.1:8096"
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API_KEY = "8cbcfe4d7d294c8aa00412ccc853459f"
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HEADERS = {
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"X-Emby-Authorization": f'MediaBrowser Client="OpenClaw", Device="PC", DeviceId="openclaw", Version="1.0", Token="{API_KEY}"',
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"Accept": "application/json"
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}
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def get_all_movies():
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"""获取所有电影"""
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movies = []
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start_index = 0
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limit = 100
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while True:
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response = requests.get(
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f"{SERVER_URL}/Items",
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params={
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"includeItemTypes": "Movie",
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"recursive": "true",
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"fields": "Path,ProviderIds,MediaSources,RunTimeTicks,Overview,ProductionYear",
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"limit": limit,
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"startIndex": start_index,
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"enableTotalRecordCount": "true"
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},
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headers=HEADERS
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)
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if response.status_code != 200:
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print(f"请求失败: {response.status_code} {response.text[:200]}")
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break
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data = response.json()
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items = data.get("Items", [])
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movies.extend(items)
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total = data.get("TotalRecordCount", 0)
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start_index += limit
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print(f" 已获取 {len(movies)}/{total} 部电影...", end="\r")
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if start_index >= total:
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break
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print(f"\n 共获取 {len(movies)} 部电影")
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return movies
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def find_duplicates(movies):
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"""查找重复电影"""
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duplicates = []
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# 1. 相同文件名（不同路径）
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name_map = defaultdict(list)
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for m in movies:
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name = (m.get("Name") or "").strip().lower()
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year = m.get("ProductionYear")
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key = (name, year)
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name_map[key].append(m)
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for key, items in name_map.items():
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if len(items) > 1:
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duplicates.append({
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"type": "相同名称+年份",
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"reason": f"电影名 '{items[0].get('Name')}' ({key[1]}) 存在 {len(items)} 个版本",
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"items": items
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})
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# 2. 相同 ProviderIds (IMDb/TMDb)
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provider_map = defaultdict(list)
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for m in movies:
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providers = m.get("ProviderIds") or {}
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for pid_type in ["Imdb", "Tmdb", "Tvdb"]:
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pid = providers.get(pid_type)
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if pid:
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provider_map[(pid_type, pid)].append(m)
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for key, items in provider_map.items():
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if len(items) > 1:
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duplicates.append({
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"type": "相同 ProviderId",
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"reason": f"{key[0]} = {key[1]} 存在 {len(items)} 个版本",
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"items": items
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})
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# 3. 相同文件大小和时长（不同路径 = 同文件被多次导入）
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size_map = defaultdict(list)
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for m in movies:
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sources = m.get("MediaSources") or []
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if sources:
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size = sources[0].get("Size")
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runtime = m.get("RunTimeTicks")
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if size and runtime:
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# 允许 1% 的误差
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size_key = (size // 1000000, runtime // 1000000)
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size_map[size_key].append((m, size, runtime))
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for (size_gb, runtime_key), items in size_map.items():
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if len(items) > 1:
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# 检查是否来自不同路径
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paths = set(item[0].get("MediaSources", [{}])[0].get("Path", "") for item in items)
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if len(paths) == 1:
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continue # 同一文件，不重复标记
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duplicates.append({
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"type": "相同文件大小+时长",
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"reason": f"约 {size_gb/1000:.1f}GB / 约 {runtime_key//10000:.0f}分钟 存在 {len(items)} 个版本",
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"items": [item[0] for item in items]
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})
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return duplicates
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def main():
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print("=" * 60)
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print("Jellyfin 重复电影检测")
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print("=" * 60)
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print("\n📦 获取所有电影...")
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movies = get_all_movies()
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if not movies:
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print("❌ 未获取到电影数据")
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return
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print(f"\n🔍 开始检测重复...")
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all_dups = find_duplicates(movies)
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if not all_dups:
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print("✅ 未发现重复电影")
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return
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print(f"\n⚠️ 发现 {len(all_dups)} 组重复\n")
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print("=" * 60)
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for i, dup in enumerate(all_dups, 1):
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print(f"\n[{i}] {dup['type']}")
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print(f" 原因: {dup['reason']}")
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print(f" {'─' * 50}")
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for j, item in enumerate(dup['items'], 1):
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name = item.get("Name", "未知")
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year = item.get("ProductionYear", "未知")
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sources = item.get("MediaSources") or []
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path = sources[0].get("Path", "未知路径") if sources else "未知路径"
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size = sources[0].get("Size", 0) if sources else 0
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size_str = f"{size / 1024**3:.2f} GB" if size else "未知大小"
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movie_id = item.get("Id", "未知")
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overview = (item.get("Overview") or "")[:100]
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print(f" [{j}] {name}")
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print(f" ID: {movie_id}")
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print(f" 年份: {year}")
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print(f" 路径: {path}")
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print(f" 大小: {size_str}")
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if overview:
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print(f" 简介: {overview}")
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print()
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print("=" * 60)
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print(f"总计 {len(all_dups)} 组重复，涉及 {
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len(set(item.get('Id') for dup in all_dups for item in dup['items']))
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} 部电影")
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print("=" * 60)
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if __name__ == "__main__":
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main()
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