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import json
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import requests
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import re
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import sys
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import hashlib
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import os
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# 默认 jar 路径和下载 URL（如需下载）
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default_jar = "./xiaosa/spider.jar"
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# 如果需要自动下载 jar，可替换为真实链接；否则留空
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default_jar_url = "../xiaosa/spider.jar"
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class CompactJSONEncoder(json.JSONEncoder):
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def iterencode(self, o, _one_shot=False):
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def _compact_list(lst, indent_level):
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indent_str = ' ' * indent_level
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if all(isinstance(i, dict) for i in lst):
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parts = [json.dumps(i, ensure_ascii=False, separators=(',', ': ')) for i in lst]
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return '[\n' + ',\n'.join([indent_str + ' ' + p for p in parts]) + '\n' + indent_str + ']'
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else:
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return json.dumps(lst, ensure_ascii=False, indent=2)
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def _encode(o, indent_level=0):
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pad = ' ' * indent_level
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if isinstance(o, dict):
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lines = []
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for k, v in o.items():
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val = _encode(v, indent_level + 1)
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lines.append(f'"{k}": {val}')
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return '{\n' + pad + ' ' + (',\n' + pad + ' ').join(lines) + '\n' + pad + '}'
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elif isinstance(o, list):
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return _compact_list(o, indent_level)
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else:
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return json.dumps(o, ensure_ascii=False)
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return iter([_encode(o)])
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def fetch_json(path_or_url):
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if os.path.exists(path_or_url):
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# 本地文件
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with open(path_or_url, "r", encoding="utf-8") as f:
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return json.load(f)
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elif path_or_url.startswith("http://") or path_or_url.startswith("https://"):
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# 网络 URL
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resp = requests.get(path_or_url)
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resp.raise_for_status()
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return resp.json()
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else:
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raise ValueError(f"无效路径或 URL：{path_or_url}")
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def get_md5(filepath):
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md5 = hashlib.md5()
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with open(filepath, "rb") as f:
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while chunk := f.read(8192):
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md5.update(chunk)
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return md5.hexdigest()
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def ensure_jar_with_md5(site):
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if not isinstance(site, dict):
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return
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jar_val = site.get("jar")
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if jar_val and ";md5;" in jar_val:
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return # 已包含 md5
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if not os.path.exists(default_jar_url):
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print(f"⚠️ 找不到本地 jar 文件：{default_jar_url}")
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return
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md5_val = get_md5(default_jar_url)
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site["jar"] = f"{default_jar};md5;{md5_val}"
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def insert_sites_at_key(base_sites, insert_sites, key_marker):
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for i, item in enumerate(base_sites):
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if item.get("key") == key_marker:
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return base_sites[:i] + insert_sites + base_sites[i:]
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print(f"⚠️ 未找到 key 为 {key_marker} 的插入点，追加到末尾")
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return base_sites + insert_sites
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if __name__ == "__main__":
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if len(sys.argv) < 3:
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print("用法: python script.py <远程json_url> <本地dianshi.json路径>")
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print("示例: python script.py https://raw.githubusercontent.com/qist/tvbox/master/xiaosa/api.json dianshi.json")
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sys.exit(1)
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remote_url = sys.argv[1]
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local_file = sys.argv[2]
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# 1. 下载远程 JSON
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data = fetch_json(remote_url)
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# 2. 筛选 sites，只保留 name 含 APP
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sites = data.get("sites", [])
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filtered_sites = [s for s in sites if isinstance(s, dict) and "name" in s and "APP" in s["name"]]
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# 3. 为每个筛选 site 添加 jar 字段和 md5
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for site in filtered_sites:
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ensure_jar_with_md5(site)
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print(f"✅ 筛选并更新 {len(filtered_sites)} 个含 APP 的 sites（包含 md5 jar 字段）")
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# 4. 读取本地文件
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with open(local_file, "r", encoding="utf-8") as f:
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dianshi = json.load(f)
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# 5. 插入到 key="玩偶" 处
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dianshi_sites = dianshi.get("sites", [])
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dianshi["sites"] = insert_sites_at_key(dianshi_sites, filtered_sites, "玩偶")
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# 6. 保存合并结果
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output_file = f"{local_file.rsplit('.',1)[0]}_with_app_sites.json"
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with open(output_file, "w", encoding="utf-8") as f:
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json.dump(dianshi, f, ensure_ascii=False, indent=2, cls=CompactJSONEncoder)
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print(f"✅ 合并完成，已保存为 {output_file}")
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