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Extract All Files in PikPak Directory Online
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| """ | |
| ## License | |
| BSD 3-Clause License | |
| Copyright (c) 2024, Ljzd-PRO, https://github.com/Ljzd-PRO | |
| Redistribution and use in source and binary forms, with or without | |
| modification, are permitted provided that the following conditions are met: | |
| 1. Redistributions of source code must retain the above copyright notice, this | |
| list of conditions and the following disclaimer. | |
| 2. Redistributions in binary form must reproduce the above copyright notice, | |
| this list of conditions and the following disclaimer in the documentation | |
| and/or other materials provided with the distribution. | |
| 3. Neither the name of the copyright holder nor the names of its | |
| contributors may be used to endorse or promote products derived from | |
| this software without specific prior written permission. | |
| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
| AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | |
| IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | |
| DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE | |
| FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | |
| DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | |
| SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | |
| CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | |
| OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
| OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| ## 介绍 | |
| PikPak 批量在线解压 | |
| ## 使用说明 | |
| 1. 安装依赖 ``httpx``, ``loguru`` | |
| 2. 修改参数 Params 部分，创建 ``files.json`` 并填入数据 | |
| 3. 启动脚本 | |
| ## 改进建议 | |
| - 用 pydantic 模型化 PikPak 列出目录文件 API 的返回数据 | |
| - 省去手动抓包目录文件列表，自动获取目标目录下的文件列表 | |
| - 用 tqdm 展示解压进度 | |
| - 更直观地统计解压任务结果 | |
| """ | |
| importasyncio | |
| importjson | |
| frompathlibimportPath | |
| importhttpx | |
| fromloguruimportlogger | |
| # Params | |
| FILES_JSON_LOCATION=Path("files.json") | |
| """ | |
| 需要包含 PikPak 列出目录文件 API 的返回数据，可进入浏览器开发者模式抓包获取 | |
| 列出目录文件 API: ``/drive/v1/files`` | |
| """ | |
| USER_AGENT="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0" | |
| """浏览器 ``User-Agent``""" | |
| AUTHORIZATION="..." | |
| """Headers 中的 ``Authorization``，可进入浏览器开发者模式抓包获取""" | |
| GCID="02AC0C3F92743D637CFEAC834D06EE806731B5B7" | |
| """解压 API ``/decompress/v1/decompress`` 负载中的 ``gcid``，可进入浏览器开发者模式抓包获取""" | |
| EXECUTORS=5 | |
| """最多同时进行的解压任务数""" | |
| TIMEOUT=10 | |
| """网络请求超时时间""" | |
| MAX_ERROR_TIMES=10 | |
| """查询进度时允许请求出错最多的次数""" | |
| PROGRESS_INTERVAL=2 | |
| """查询进度时间间隔""" | |
| EXTRACT_WAIT_TIME=2 | |
| """解压文件的网络请求之间的等待时间间隔""" | |
| FILE_EXTENSIONS= {".zip",".rar",".7z"} | |
| """目标文件类型""" | |
| # Global Variables | |
| client=httpx.AsyncClient( | |
| headers={ | |
| "User-Agent":USER_AGENT, | |
| "Authorization":AUTHORIZATION | |
| }, | |
| timeout=TIMEOUT | |
| ) | |
| task_queue:asyncio.Queue[dict]=asyncio.Queue() | |
| defload_files(): | |
| returnjson.load(FILES_JSON_LOCATION.open(encoding="utf-8")) | |
| asyncdefunzip(file:dict): | |
| file_id:str=file["id"] | |
| file_name:str=file["name"] | |
| try: | |
| res=awaitclient.post( | |
| "https://api-drive.mypikpak.com/decompress/v1/decompress", | |
| json={ | |
| "gcid":GCID, | |
| "password":"", | |
| "file_id":file_id, | |
| "files": [], | |
| "default_parent":True | |
| } | |
| ) | |
| excepthttpx.TransportError: | |
| logger.error(f"file:{file_name}, status: request failed") | |
| returnFalse | |
| ifres.status_code==200: | |
| res_json=res.json() | |
| ifres_json.get("status")=="OK": | |
| task_id:str=res_json.get("task_id") | |
| error_times=MAX_ERROR_TIMES | |
| whileerror_times: | |
| awaitasyncio.sleep(PROGRESS_INTERVAL) | |
| try: | |
| res=awaitclient.get( | |
| "https://api-drive.mypikpak.com/decompress/v1/progress", | |
| params={ | |
| "task_id":task_id | |
| } | |
| ) | |
| excepthttpx.TransportError: | |
| error_times-=1 | |
| else: | |
| ifres.status_code==200and (progress:=res.json().get("progress"))isnotNone: | |
| logger.info(f"file:{file_name}, progress:{progress}%") | |
| ifprogress==100: | |
| returnTrue | |
| else: | |
| error_times-=1 | |
| logger.error(f"file:{file_name}, status: failed, response:{res.text}") | |
| returnFalse | |
| asyncdefexecutor(): | |
| whilenottask_queue.empty(): | |
| file=awaittask_queue.get() | |
| awaitunzip(file) | |
| awaitasyncio.sleep(EXTRACT_WAIT_TIME) | |
| defmain(): | |
| files=load_files()["files"] | |
| logger.info(f"Total files:{len(files)}") | |
| forfileinfiles: | |
| iffile["file_extension"]inFILE_EXTENSIONS: | |
| task_queue.put_nowait(file) | |
| asyncio.get_event_loop().run_until_complete( | |
| asyncio.gather( | |
| *[executor()for_inrange(EXECUTORS)] | |
| ) | |
| ) | |
| logger.success("All tasks done (Some may failed)") | |
| main() |
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