mirror of
https://github.com/alantang1977/hipy.git
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226 lines
7.9 KiB
Python
226 lines
7.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# File : 采集分类生成器.py
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# Author: DaShenHan&道长-----先苦后甜，任凭晚风拂柳颜------
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# Date : 2024/6/21
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import os
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import json
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import gzip
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import base64
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from urllib.parse import urljoin
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from concurrent.futures import ThreadPoolExecutor
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from pprint import pprint
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import time
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import requests
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import warnings
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# 关闭警告
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warnings.filterwarnings("ignore")
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requests.packages.urllib3.disable_warnings()
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pool = ThreadPoolExecutor(max_workers=20) # 初始化线程池内线程数量为20
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headers = {
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'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 Safari/604.1',
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'Connection': 'close' # 设置为关闭长连接
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}
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timeout = 5 # 5秒
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use_gzip = False
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def compress_and_encode(data: str):
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# 压缩数据
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compressed_data = gzip.compress(data.encode('utf-8'))
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# 对压缩数据进行Base64编码
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encoded_data = base64.b64encode(compressed_data).decode('utf-8')
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return encoded_data
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def decode_and_decompress(encoded_data: str):
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# 解码Base64数据
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decoded_data = base64.b64decode(encoded_data.encode('utf-8'))
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# 解压缩数据
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decompressed_data = gzip.decompress(decoded_data).decode('utf-8')
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return decompressed_data
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def get_classes(rec):
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classes = None
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if rec.get('url') and str(rec['url']).startswith('http'):
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_class_api = rec.get('api') or '/api.php/provide/vod/'
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_api = urljoin(str(rec['url']).rstrip('/'), _class_api)
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# _api = urljoin(rec['url'], '/api.php/provide/vod/at/json')
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print(_api)
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try:
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r = requests.get(_api, headers=headers, timeout=timeout, verify=False)
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ret = r.json()
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if rec.get('name') == '乐视资源':
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print('=======乐视=========')
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print(ret)
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# print(ret)
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classes = ret.get('class')
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except Exception as e:
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print(f'获取资源【{rec["name"]}】({_api})分类发生错误:{e}')
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return classes
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def convert_class(classes, name=None):
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"""
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获取的分类转静态分类格式
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@param classes:
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@return:
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"""
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if name is None:
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name = ''
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if not classes:
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return {
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"name": "",
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"class_name": "",
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"class_url": "",
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}
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class_names = []
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class_urls = []
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for cls in classes:
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if cls.get('type_name') and cls.get('type_id'):
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class_urls.append(str(cls['type_id']))
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class_names.append(str(cls['type_name']))
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global use_gzip
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return {
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"name": name,
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"class_name": compress_and_encode('&'.join(class_names)) if use_gzip else '&'.join(class_names),
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"class_url": '&'.join(class_urls),
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}
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def get_convert_classes(rec):
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classes = get_classes(rec)
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classes = convert_class(classes, rec.get('name'))
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return classes
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def check_class(api, type_name, type_id, limit_count=6):
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_url = f'{api}?ac=detail&pg=1&t={type_id}'
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try:
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r = requests.get(_url, headers=headers, timeout=timeout, verify=False)
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ret = r.json()
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if not ret.get("list") or len(ret["list"]) < limit_count:
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print(f'获取资源 {api} 分类【{type_name}】数量为:{len(ret["list"])} 小于{limit_count}视为排除')
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return False
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except Exception as e:
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print(f'获取资源 {_url} 分类【{type_name}】发生错误:{e}')
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return True
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def check_active(api):
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try:
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r = requests.get(api, headers=headers, timeout=timeout, verify=False)
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ret = r.json()
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if not ret.get("class"):
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return False
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except Exception as e:
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print(f'检查api: {api} 存活发生错误:{e}')
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return False
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return True
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def main(fname='采集'):
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file_path = f'./{fname}.json'
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out_file_path = file_path.replace('.json', '静态.json')
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if not os.path.exists(file_path):
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exit(f'不存在采集文件路径:{file_path}')
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with open(file_path, encoding='utf-8') as f:
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data = f.read()
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records = json.loads(data)
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print(records)
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# for rec in records:
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# ret = get_convert_classes(rec)
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# pprint(ret)
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tasks = [pool.submit(get_convert_classes, rec) for rec in records] # 构造一个列表，循环向线程池内submit提交执行的方法
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pool.shutdown(wait=True) # 线程数等待所有线程结束，这里 卡住主线程
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results = [task.result() for task in tasks]
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print(results)
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new_records = []
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for record in records:
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rec_name = record["name"]
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if rec_name:
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has_name = [ret for ret in results if ret.get("name") == rec_name]
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if has_name:
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record.update(has_name[-1])
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new_records.append(record)
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pprint(new_records)
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print(f'转换静态数据成功记录数:{len(new_records)}')
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with open(out_file_path, mode='w+', encoding='utf-8') as f:
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f.write(json.dumps(new_records, ensure_ascii=False, indent=2))
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def main_exclude(fname='采集静态', max_workers=0):
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file_path = f'./{fname}.json'
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if not os.path.exists(file_path):
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exit(f'不存在采集文件路径:{file_path}')
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with open(file_path, encoding='utf-8') as f:
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data = f.read()
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records = json.loads(data)
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if len(records) < 1 or not records[0].get('class_name'):
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exit('输入数据有误，疑似不是静态数据')
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print(records)
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new_records = []
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for rec in records:
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new_rec = rec.copy()
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if rec.get('api'):
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api_url = urljoin(rec['url'], rec['api'])
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else:
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api_url = urljoin(rec['url'], '/api.php/provide/vod/')
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print(api_url)
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cate_excludes = []
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if not check_active(api_url):
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print(f'{rec["name"]} ({rec["url"]})视为不存活,跳过分类检测')
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else:
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class_names = decode_and_decompress(rec['class_name']).split('&')
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class_urls = rec['class_url'].split('&')
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rec_pool = ThreadPoolExecutor(max_workers=max_workers or len(class_names)) # 初始化线程池内线程数量为分类数量
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tasks = []
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for i in range(len(class_names)):
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type_name = class_names[i]
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type_id = class_urls[i]
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tasks.append(rec_pool.submit(check_class, api_url, type_name, type_id))
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rec_pool.shutdown(wait=True) # 线程数等待所有线程结束，这里 卡住主线程
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results = [task.result() for task in tasks]
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print(results)
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for i in range(len(class_names)):
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type_name = class_names[i]
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# type_id = class_urls[i]
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if not results[i]:
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cate_excludes.append(type_name)
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if len(cate_excludes) > 0:
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new_rec['cate_excludes'] = cate_excludes
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new_records.append(new_rec)
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with open(file_path, mode='w+', encoding='utf-8') as f:
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f.write(json.dumps(new_records, ensure_ascii=False, indent=2))
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if __name__ == '__main__':
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use_gzip = True
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fmode = str(input('请输入处理文件方式(0:生成分类 1:添加分类过滤),留空默认为生成静态分类:\n'))
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ftips = '采集静态' if fmode == '1' else '采集'
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fname = str(input(f'请输入文件名(q结束程序),留空默认为{ftips}:\n'))
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t1 = time.time()
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if fname == 'q':
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exit('已主动结束脚本')
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if not fmode or fmode == '0':
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fname = fname or '采集'
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main(fname)
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elif fmode == '1':
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fname = fname or '采集静态'
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main_exclude(fname, 10)
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else:
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exit(f'未知的处理类型:{fmode}')
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t2 = time.time()
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print(f'本次程序运行耗时:{round(t2 - t1, 2)}秒')
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