zc_history_spider.py 19 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570
  1. # -*- coding: utf-8 -*-
  2. # Author : Charley
  3. # Python : 3.10.8
  4. # Date : 2026/2/27 11:22
  5. import inspect
  6. import requests
  7. import user_agent
  8. from loguru import logger
  9. from crypto_utils import CryptoHelper
  10. from mysql_pool import MySQLConnectionPool
  11. from tenacity import retry, stop_after_attempt, wait_fixed
  12. logger.remove()
  13. logger.add("./logs/{time:YYYYMMDD}.log", encoding='utf-8', rotation="00:00",
  14. format="[{time:YYYY-MM-DD HH:mm:ss.SSS}] {level} {message}",
  15. level="DEBUG", retention="7 day")
  16. # 基础配置
  17. BASE_URL = "https://cashier.yqszpay.com"
  18. PAGE_SIZE = 10
  19. headers = {
  20. "User-Agent": user_agent.generate_user_agent(),
  21. "Connection": "Keep-Alive",
  22. "Accept-Encoding": "gzip",
  23. "Content-Type": "application/json",
  24. "channelNo": "88888888",
  25. "pageSize": str(PAGE_SIZE),
  26. # "pageNum": 1,
  27. "version": "1.9.9.82537"
  28. }
  29. def after_log(retry_state):
  30. """
  31. retry 回调
  32. :param retry_state: RetryCallState 对象
  33. """
  34. # 检查 args 是否存在且不为空
  35. if retry_state.args and len(retry_state.args) > 0:
  36. log = retry_state.args[0] # 获取传入的 logger
  37. else:
  38. log = logger # 使用全局 logger
  39. if retry_state.outcome.failed:
  40. log.warning(
  41. f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} Times")
  42. else:
  43. log.info(f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} succeeded")
  44. @retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
  45. def get_proxys(log):
  46. """
  47. 获取代理配置
  48. :param log: 日志对象
  49. :return: 代理字典
  50. """
  51. tunnel = "x371.kdltps.com:15818"
  52. kdl_username = "t13753103189895"
  53. kdl_password = "o0yefv6z"
  54. try:
  55. proxies = {
  56. "http": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel},
  57. "https": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel}
  58. }
  59. return proxies
  60. except Exception as e:
  61. log.error(f"Error getting proxy: {e}")
  62. raise e
  63. @retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
  64. def make_encrypted_post_request(log, url: str, request_data: dict, extra_headers: dict = None):
  65. """
  66. 通用加密POST请求函数(带重试机制)
  67. :param log: 日志对象
  68. :param url: 请求URL
  69. :param request_data: 请求数据字典(会被加密)
  70. :param extra_headers: 额外的请求头
  71. :return: 解密后的响应数据,失败返回None
  72. """
  73. request_headers = headers.copy()
  74. if extra_headers:
  75. request_headers.update(extra_headers)
  76. log.debug(f"Request URL: {url}, Data: {request_data}")
  77. encrypted_body = CryptoHelper.encrypt_request_data(request_data)
  78. # print(request_headers)
  79. response = requests.post(url, headers=request_headers, json=encrypted_body, timeout=(5, 30))
  80. # response.raise_for_status()
  81. if response.status_code == 200:
  82. response_json = response.json()
  83. # log.debug(f"Raw response: {response_json}")
  84. if 'data' in response_json:
  85. decrypted = CryptoHelper.decrypt_response_data(response_json)
  86. # log.debug(f"Decrypted response: {decrypted}")
  87. return decrypted
  88. return response_json
  89. else:
  90. log.error(f"请求失败: {response.status_code}, Response: {response.text}")
  91. return None
  92. def get_shop_single_page(log, page_num, page_size=PAGE_SIZE):
  93. """
  94. 获取商户列表(支持翻页)
  95. :param log: 日志对象
  96. :param page_num: 页码
  97. :param page_size: 每页条数
  98. """
  99. log.debug(f"Getting shop list, page: {page_num}")
  100. url = f"{BASE_URL}/zc-api/merchant/getMerMyList"
  101. request_data = {'pageNum': page_num, 'pageSize': page_size}
  102. try:
  103. resp = make_encrypted_post_request(log, url, request_data, extra_headers={"pageNum": str(page_num)})
  104. except Exception as e:
  105. log.error(f"Error getting shop list: {e}")
  106. resp = None
  107. return resp
  108. def get_sold_single_page(log, mer_no, page_num):
  109. """
  110. 获取商品列表(支持翻页)
  111. :param log: 日志对象
  112. :param mer_no: 商户编号
  113. :param page_num: 页码
  114. """
  115. log.info(f"Getting sold items for mer_no: {mer_no}, page: {page_num}")
  116. url = f"{BASE_URL}/zc-api/act/actProduct/getActList"
  117. request_data = {
  118. 'merNo': mer_no,
  119. 'pageNum': page_num,
  120. 'pageSize': PAGE_SIZE,
  121. 'queryType': 1
  122. }
  123. return make_encrypted_post_request(log, url, request_data, extra_headers={"pageNum": str(page_num)})
  124. def get_player_single_page(log, act_id, token, page_num, page_size=PAGE_SIZE):
  125. """
  126. 获取玩家列表(支持翻页)
  127. :param log: 日志对象
  128. :param act_id: 活动ID
  129. :param token: Authorization token
  130. :param page_num: 页码
  131. :param page_size: 每页条数
  132. """
  133. log.debug(f"Getting player list for act_id: {act_id}, page: {page_num}")
  134. # url = f"{BASE_URL}/zc-api/act/actOrder/getActOrderPublicDetails"
  135. url = f"{BASE_URL}/zc-api/act/actOrder/getUserDetailsCount"
  136. # request_data = {'actId': act_id, 'pageNum': page_num, 'pageSize': page_size}
  137. request_data = {"actId": act_id, "pageNum": page_num, "pageSize": page_size}
  138. return make_encrypted_post_request(
  139. log, url, request_data,
  140. extra_headers={"Authorization": token, "pageNum": str(page_num)}
  141. )
  142. def parse_shop_data(log, items, sql_pool):
  143. """
  144. 解析商户数据
  145. :param log: 日志对象
  146. :param items: 商户列表
  147. :param sql_pool: MySQL连接池
  148. :return: 解析后的数据列表
  149. """
  150. log.debug(f"Parsing shop data...........")
  151. info_list = []
  152. for item in items:
  153. # log.debug(f"Processing shop item: {item}")
  154. shop_id = item.get('merNo')
  155. shop_name = item.get('merName')
  156. sold_number = item.get('spell_number')
  157. # link_man = item.get('linkMan')
  158. # user_id = item.get('userId')
  159. fans = item.get('attentionNumber')
  160. data_dict = {
  161. 'shop_id': shop_id,
  162. 'shop_name': shop_name,
  163. 'sold_number': sold_number,
  164. 'fans': fans
  165. }
  166. log.debug(f"Parsed shop data: {data_dict}")
  167. info_list.append(data_dict)
  168. # 保存/更新 根据shop_id判断 是否存在,存在则更新,不存在则插入
  169. sql = "INSERT INTO zc_shop_record (shop_id, shop_name, sold_number, fans) VALUES (%s, %s, %s, %s) ON DUPLICATE KEY UPDATE shop_name=VALUES(shop_name), sold_number=VALUES(sold_number), fans=VALUES(fans)"
  170. # 将字典列表转换为元组列表
  171. args_list = [tuple(d.values()) for d in info_list]
  172. sql_pool.insert_many(query=sql, args_list=args_list)
  173. @retry(stop=stop_after_attempt(3), wait=wait_fixed(1), after=after_log)
  174. def get_video(log, token, pid):
  175. """
  176. 获取活动视频信息
  177. :param log: 日志对象
  178. :param token: Authorization token
  179. :param pid: 活动ID
  180. :return: (live_id, open_time, close_time, video_url)
  181. """
  182. url = "https://cashier.yqszpay.com/zc-api/live/actLive/getMerLiveInfo"
  183. request_data = {'actId': pid}
  184. log.debug(f"获取视频信息,actId: {pid}")
  185. resp_data = make_encrypted_post_request(
  186. log, url, request_data,
  187. extra_headers={"Authorization": token}
  188. )
  189. # log.debug(f"视频响应: {resp_data}")
  190. live_id = resp_data.get('live', {}).get('liveId')
  191. live_open_time = resp_data.get('live', {}).get('openTime')
  192. live_close_time = resp_data.get('live', {}).get('closeTime')
  193. video_url = resp_data.get('live', {}).get('videoUrl')
  194. return live_id, live_open_time, live_close_time, video_url
  195. def parse_sold_data(log, token, items, sql_pool, shop_name):
  196. """
  197. 解析商品数据
  198. :param log: 日志对象
  199. :param token: Authorization token
  200. :param items: 商品列表
  201. :param sql_pool: MySQL连接池
  202. :param shop_name: 商户名称
  203. :return: 解析后的数据列表
  204. """
  205. info_list = []
  206. for item in items:
  207. # log.debug(f"Processing sold item: {item}")
  208. shop_id = item.get('merNo') # 商户编号
  209. pid = item.get('id')
  210. act_day = item.get('actDay') # 活动天数
  211. act_logo = item.get('actLogo')
  212. act_name = item.get('actName') # 活动名称
  213. act_no = item.get('actNo') # 活动编号
  214. act_status = item.get('actStatus') # 活动状态
  215. startDate = item.get('startDate') # 开始时间
  216. endDate = item.get('complete_date') # 结束时间
  217. storageId = item.get('storageId') # 存储ID
  218. storageName = item.get('storageName') # 存储名称
  219. unitPrice = item.get('unitPrice') # 单价
  220. sumPrice = item.get('sumPrice') # 总价
  221. reality_price = item.get('realityPrice') # 实际价格
  222. packageNumber = item.get('packageNumber') # 包配置
  223. schedule = item.get('schedule') # 库存
  224. live_id, live_open_time, live_close_time, video_url = get_video(log, token, pid)
  225. data_dict = {
  226. 'shop_id': shop_id,
  227. 'shop_name': shop_name,
  228. 'pid': pid,
  229. 'act_day': act_day,
  230. 'act_img': act_logo,
  231. 'act_name': act_name,
  232. 'act_no': act_no,
  233. 'act_status': act_status,
  234. 'start_date': startDate,
  235. 'end_date': endDate,
  236. 'storage_id': storageId,
  237. 'storage_name': storageName,
  238. 'unit_price': unitPrice,
  239. 'sum_price': sumPrice,
  240. 'reality_price': reality_price,
  241. 'package_number': packageNumber,
  242. 'schedule': schedule,
  243. 'live_id': live_id,
  244. 'live_open_time': live_open_time,
  245. 'live_close_time': live_close_time,
  246. 'video_url': video_url
  247. }
  248. # log.debug(f"Parsed sold data: {data_dict}")
  249. # { 'live_close_time': None, 'video_url': None}
  250. info_list.append(data_dict)
  251. # 保存数据
  252. sql_pool.insert_many(table='zc_product_record', data_list=info_list, ignore=True)
  253. def parse_player_data_bak(log, items, sql_pool):
  254. """
  255. 解析玩家数据
  256. :param log: 日志对象
  257. :param items: 玩家列表
  258. :param sql_pool: MySQL连接池
  259. :return: 解析后的数据列表
  260. """
  261. log.debug(f"Parsing player data...........")
  262. info_list = []
  263. for item in items:
  264. # log.debug(f"Processing player item: {item}")
  265. pid = item.get('actId')
  266. player_id = item.get('id')
  267. order_id = item.get('orderId')
  268. secret_name = item.get('secretName')
  269. add_time = item.get('addTime')
  270. user_id = item.get('userId')
  271. user_name = item.get('user_name')
  272. data_dict = {
  273. 'pid': pid,
  274. 'player_id': player_id,
  275. 'order_id': order_id,
  276. 'secret_name': secret_name,
  277. 'add_time': add_time,
  278. 'user_id': user_id,
  279. 'user_name': user_name
  280. }
  281. # log.debug(f"Parsed player data: {data_dict}")
  282. info_list.append(data_dict)
  283. # 保存数据
  284. sql_pool.insert_many(table='zc_player_record', data_list=info_list, ignore=True)
  285. def parse_player_data(log, items, sql_pool):
  286. """
  287. 解析玩家数据
  288. :param log: 日志对象
  289. :param items: 玩家列表
  290. :param sql_pool: MySQL连接池
  291. :return: 解析后的数据列表
  292. """
  293. log.debug(f"Parsing player data...........")
  294. info_list = []
  295. for item in items:
  296. # log.debug(f"Processing player item: {item}")
  297. pid = item.get('actId')
  298. give_number = item.get('giveNumber') # 份数
  299. user_id = item.get('userId')
  300. user_name = item.get('userName')
  301. data_dict = {
  302. 'pid': pid,
  303. 'give_number': give_number,
  304. 'user_id': user_id,
  305. 'user_name': user_name
  306. }
  307. # log.debug(f"Parsed player data: {data_dict}")
  308. info_list.append(data_dict)
  309. # 保存数据
  310. sql_pool.insert_many(table='zc_player_record', data_list=info_list, ignore=True)
  311. def get_shop_list(log, sql_pool):
  312. """
  313. 商户列表翻页生成器
  314. :param log: 日志对象
  315. :param sql_pool: MySQL连接池
  316. """
  317. page_num = 1
  318. total = 0
  319. while page_num <= 100:
  320. result = get_shop_single_page(log, page_num, PAGE_SIZE)
  321. # print(result)
  322. if result is None:
  323. log.error(f"第 {page_num} 页请求失败,停止翻页")
  324. break
  325. data_list = result.get('rows', [])
  326. parse_shop_data(log, data_list, sql_pool)
  327. # 获取总条数(第一页时获取)
  328. if total is None and 'total' in result:
  329. total = result['total']
  330. log.info(f"总记录数: {total}")
  331. # 检查是否有数据
  332. if len(data_list) == 0:
  333. log.info(f"第 {page_num} 页无数据,停止翻页")
  334. break
  335. # 根据total判断是否超出范围
  336. if total is not None and (page_num - 1) * PAGE_SIZE >= total:
  337. log.info(f"已遍历完所有数据,停止翻页")
  338. break
  339. log.info(f"第 {page_num} 页查询完成,本页条数: {len(data_list)}")
  340. page_num += 1
  341. def get_sold_list(log, shop_id, shop_name, token, sql_pool):
  342. """
  343. 商品列表翻页生成器
  344. :param log: 日志对象
  345. :param shop_id: shop_id
  346. :param shop_name: 商户名称
  347. :param token: Authorization token
  348. :param sql_pool: MySQL连接池
  349. """
  350. page_num = 1
  351. max_pages = 1000
  352. while page_num <= max_pages:
  353. result = get_sold_single_page(log, shop_id, page_num)
  354. # print(result)
  355. if result is None:
  356. log.error(f"第 {page_num} 页请求失败,停止翻页")
  357. break
  358. data_list = result.get('rows', [])
  359. parse_sold_data(log, token, data_list, sql_pool, shop_name)
  360. # 检查是否有数据
  361. if len(data_list) < 10:
  362. log.info(f"第 {page_num} 页无数据,停止翻页")
  363. break
  364. log.info(f"第 {page_num} 页查询完成,本页条数: {len(data_list)}")
  365. page_num += 1
  366. def get_player_list(log, act_id, token, sql_pool):
  367. """
  368. 玩家列表翻页生成器
  369. :param log: 日志对象
  370. :param act_id: 活动ID
  371. :param token: Authorization token
  372. :param sql_pool: MySQL连接池
  373. :return: has_data (True: 有数据, False: 无数据)
  374. """
  375. page_num = 1
  376. max_pages = 100
  377. has_data = False
  378. while page_num <= max_pages:
  379. result = get_player_single_page(log, act_id, token, page_num)
  380. if result is None:
  381. log.error(f"第 {page_num} 页请求失败,停止翻页")
  382. break
  383. data_list = result.get('rows', [])
  384. # 如果有数据才解析
  385. if len(data_list) > 0:
  386. has_data = True
  387. parse_player_data(log, data_list, sql_pool)
  388. # 检查是否有数据
  389. if len(data_list) < 10:
  390. log.info(f"第 {page_num} 页无数据,停止翻页")
  391. break
  392. log.info(f"第 {page_num} 页查询完成,本页条数: {len(data_list)}")
  393. page_num += 1
  394. return has_data
  395. @retry(stop=stop_after_attempt(100), wait=wait_fixed(3600), after=after_log)
  396. def zc_main(log):
  397. """
  398. 主函数
  399. :param log: logger对象
  400. """
  401. log.info(
  402. f'开始运行 {inspect.currentframe().f_code.co_name} 爬虫任务....................................................')
  403. # 配置 MySQL 连接池
  404. sql_pool = MySQLConnectionPool(log=log)
  405. if not sql_pool.check_pool_health():
  406. log.error("数据库连接池异常")
  407. raise RuntimeError("数据库连接池异常")
  408. try:
  409. # 获取 token
  410. token_row = sql_pool.select_one("SELECT token FROM zc_token WHERE id = 1")
  411. if not token_row:
  412. log.error("未查询到 token")
  413. return
  414. token = token_row[0]
  415. # player test
  416. # has_data = get_player_list(log, 1800, token, sql_pool)
  417. # 获取shop data
  418. # try:
  419. # get_shop_list(logger, sql_pool)
  420. # except Exception as e:
  421. # log.error(f'iterate_shop_list error: {e}')
  422. #
  423. # time.sleep(5)
  424. #
  425. # # 获取sold data - 遍历所有商户
  426. try:
  427. # 从 shop 表查询所有 merNo
  428. mer_no_rows = sql_pool.select_all("SELECT shop_id FROM zc_shop_record WHERE sold_number != 0")
  429. log.info(f"查询到 {len(mer_no_rows)} 个商户编号: {mer_no_rows}")
  430. for shop_id, shop_name in mer_no_rows:
  431. log.info(f"开始爬取商户 {shop_id}, {shop_name} 的商品数据")
  432. get_sold_list(log, shop_id, shop_name, token, sql_pool)
  433. except Exception as e:
  434. log.error(f'get_sold_list error: {e}')
  435. #
  436. # time.sleep(5)
  437. # 获取player data - 遍历所有活动
  438. try:
  439. # 从 sold 表查询所有 actId
  440. act_id_rows = sql_pool.select_all("SELECT pid FROM zc_product_record WHERE player_state != 1")
  441. act_id_list = [row[0] for row in act_id_rows] if act_id_rows else []
  442. log.info(f"查询到 {len(act_id_list)} 个活动ID")
  443. for act_id in act_id_list:
  444. try:
  445. # 先将当前 pid 的状态改为 1,表示开始查询
  446. sql_pool.update_one("UPDATE zc_product_record SET player_state = 1 WHERE pid = %s", (act_id,))
  447. log.info(f"将 pid: {act_id} 的状态更新为 1(开始查询)")
  448. log.info(f"开始爬取pid: {act_id} 的玩家数据")
  449. has_data = get_player_list(log, act_id, token, sql_pool)
  450. # 根据是否有数据更新状态
  451. if has_data:
  452. log.info(f"pid: {act_id} 查询到数据,状态保持为 1")
  453. else:
  454. log.info(f"pid: {act_id} 没有数据,状态更新为 2")
  455. sql_pool.update_one("UPDATE zc_product_record SET player_state = 2 WHERE pid = %s", (act_id,))
  456. except Exception as pid_error:
  457. # 如果查询失败,将状态改为 3
  458. log.error(f"pid: {act_id} 查询失败,错误: {pid_error}")
  459. try:
  460. sql_pool.update_one("UPDATE zc_product_record SET player_state = 3 WHERE pid = %s", (act_id,))
  461. log.info(f"已将 pid: {act_id} 的状态更新为 3(查询异常)")
  462. except Exception as update_error:
  463. log.error(f"更新 pid: {act_id} 状态失败: {update_error}")
  464. except Exception as e:
  465. log.error(f'iterate_player_list error: {e}')
  466. except Exception as e:
  467. log.error(f'{inspect.currentframe().f_code.co_name} error: {e}')
  468. finally:
  469. log.info(f'爬虫程序 {inspect.currentframe().f_code.co_name} 运行结束,等待下一轮的采集任务............')
  470. if __name__ == '__main__':
  471. # 获取单页数据
  472. # result = get_sold_single_page(logger, 'ZC10264451', page_num=1, page_size=20)
  473. # result = get_shop_single_page(logger, page_num=1, page_size=10)
  474. # result = get_player_single_page(logger, 1520, 'your_token', page_num=1, page_size=10)
  475. # print("单页数据:", result)
  476. zc_main(logger)
  477. # get_vodeo(logger, 'your_token', 1726)
  478. # sql_pool = MySQLConnectionPool(log=logger)
  479. # get_shop_list(logger, sql_pool)
  480. # get_shop_single_page(logger, 1, 10)