def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
try:
tmp_sql_server._delete_table(sql_str=z8_delete_str_1)
result = list(
tmp_sql_server._select_table(sql_str=z8_select_str_2))
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
for item in result: # 实时更新数据
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
zhe_800_pintuan = Zhe800PintuanParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if index % 300 == 0: # 每更新300个，休眠3分钟
sleep_time = 3 * 60
sleep(sleep_time)
print('休眠{}s中...'.format(sleep_time))
if tmp_sql_server.is_connect_success:
tmp_tmp = zhe_800_pintuan.get_goods_data(goods_id=item[0])
# 不用这个了因为会影响到正常情况的商品
try: # 单独处理商品页面不存在的情况
if isinstance(tmp_tmp, str) and re.compile(
r'^ze').findall(tmp_tmp) != []:
print('@@ 该商品的页面已经不存在!此处将其删除!')
tmp_sql_server._delete_table(
sql_str=z8_delete_str_2, params=(item[0], ))
sleep(ZHE_800_PINTUAN_SLEEP_TIME)
continue
else:
pass
except:
pass
data = zhe_800_pintuan.deal_with_data()
if data != {}:
data['goods_id'] = item[0]
if item[1] == 1:
tmp_sql_server._delete_table(
sql_str=z8_delete_str_2, params=(item[0], ))
print('该goods_id[{0}]已过期，删除成功!'.format(item[0]))
else:
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (item[0], index))
zhe_800_pintuan.to_right_and_update_data(
data=data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
try:
del zhe_800_pintuan
except:
pass
gc.collect()
sleep(ZHE_800_PINTUAN_SLEEP_TIME)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
gc.collect()
class Z8Updater(AsyncCrawler):
"""折800常规商品实时更新"""
def __init__(self, *params, **kwargs):
AsyncCrawler.__init__(self,
*params,
**kwargs,
log_print=True,
log_save_path=MY_SPIDER_LOGS_PATH +
'/折800/实时更新/')
self.sql_cli = None
self.goods_index = 1
# 并发量
self.concurrency = 10
async def _get_db_old_data(self):
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
result = None
try:
result = list(self.sql_cli._select_table(sql_str=z8_select_str_3))
except TypeError:
self.lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
await _print_db_old_data(logger=self.lg, result=result)
return result
async def _get_new_ali_obj(self, index) -> None:
if index % 10 == 0:
try:
del self.zhe_800
except:
try:
del self.zhe_800
except:
pass
collect()
self.zhe_800 = Zhe800Parse()
async def _update_one_goods_info(self, db_goods_info_obj, index):
'''
更新一个goods的信息
:param db_goods_info_obj:
:param index:
:return: ['goods_id', bool:'成功与否']
'''
res = False
await self._get_new_ali_obj(index=index)
self.sql_cli = await _get_new_db_conn(db_obj=self.sql_cli,
index=index,
logger=self.lg)
if self.sql_cli.is_connect_success:
self.lg.info(
'------>>>| 正在更新的goods_id为({0}) | --------->>>@ 索引值为({1})'.
format(db_goods_info_obj.goods_id, index))
self.zhe_800.get_goods_data(goods_id=db_goods_info_obj.goods_id)
data = self.zhe_800.deal_with_data()
if data != {}:
data = get_goods_info_change_data(
target_short_name='z8',
logger=self.lg,
data=data,
db_goods_info_obj=db_goods_info_obj,
)
res = self.zhe_800.to_right_and_update_data(
data=data, pipeline=self.sql_cli)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
self.lg.error('数据库连接失败，数据库可能关闭或者维护中')
index += 1
self.goods_index = index
collect()
await async_sleep(2.)
return [db_goods_info_obj.goods_id, res]
async def _update_db(self):
while True:
self.lg = await self._get_new_logger(logger_name=get_uuid1())
result = await self._get_db_old_data()
if result is None:
pass
else:
self.goods_index = 1
tasks_params_list = TasksParamsListObj(
tasks_params_list=result, step=self.concurrency)
self.zhe_800 = Zhe800Parse()
index = 1
while True:
try:
slice_params_list = tasks_params_list.__next__()
# self.lg.info(str(slice_params_list))
except AssertionError: # 全部提取完毕, 正常退出
break
tasks = []
for item in slice_params_list:
db_goods_info_obj = Z8DbGoodsInfoObj(item=item,
logger=self.lg)
self.lg.info('创建 task goods_id: {}'.format(
db_goods_info_obj.goods_id))
tasks.append(
self.loop.create_task(
self._update_one_goods_info(
db_goods_info_obj=db_goods_info_obj,
index=index)))
index += 1
await _get_async_task_result(tasks=tasks, logger=self.lg)
try:
del tasks
except:
pass
self.lg.info('全部数据更新完毕'.center(100, '#'))
if get_shanghai_time().hour == 0: # 0点以后不更新
await async_sleep(60 * 60 * 5.5)
else:
await async_sleep(5.5)
try:
del self.zhe_800
except:
pass
collect()
def __del__(self):
try:
del self.lg
except:
pass
try:
del self.loop
except:
pass
collect()
def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
try:
result = list(
tmp_sql_server._select_table(sql_str=vip_select_str_1))
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
continue
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
for item in result: # 实时更新数据
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
vip = VipParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)' %
(item[0], index))
vip.get_goods_data(goods_id=[0, item[0]])
data = vip.deal_with_data()
if data != {}:
data['goods_id'] = item[0]
data['shelf_time'], data[
'delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[1],
shelf_time=item[4],
delete_time=item[5])
data['_is_price_change'], data[
'_price_change_info'] = _get_price_change_info(
old_price=item[2],
old_taobao_price=item[3],
new_price=data['price'],
new_taobao_price=data['taobao_price'])
try:
old_sku_info = format_price_info_list(
price_info_list=json_2_dict(item[6]), site_id=25)
except AttributeError: # 处理已被格式化过的
old_sku_info = item[6]
data['_is_price_change'], data[
'sku_info_trans_time'] = get_sku_info_trans_record(
old_sku_info=old_sku_info,
new_sku_info=format_price_info_list(
data['price_info_list'], site_id=25),
is_price_change=item[7]
if item[7] is not None else 0)
vip.to_right_and_update_data(data=data,
pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del vip
# except:
# pass
gc.collect()
sleep(VIP_SLEEP_TIME)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(30)
# del vip
gc.collect()
def run_forever():
while True:
# ** 不能写成全局变量并放在循环中, 否则会一直记录到同一文件中
my_lg = set_logger(
log_file_name=MY_SPIDER_LOGS_PATH + '/网易考拉/实时更新/' + str(get_shanghai_time())[0:10] + '.txt',
console_log_level=INFO,
file_log_level=ERROR
)
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
try:
result = list(tmp_sql_server._select_table(sql_str=kl_select_str_1))
except TypeError:
my_lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
my_lg.info('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
my_lg.info(str(result))
my_lg.info('--------------------------------------------------------')
my_lg.info('总计待更新个数: {0}'.format(len(result)))
my_lg.info('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
kaola = KaoLaParse(logger=my_lg)
for item in result: # 实时更新数据
if index % 5 == 0:
try:
del kaola
except:
pass
kaola = KaoLaParse(logger=my_lg)
gc.collect()
if index % 10 == 0: # 每10次重连一次，避免单次长连无响应报错
my_lg.info('正在重置，并与数据库建立新连接中...')
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
my_lg.info('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
my_lg.info('------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)' % (str(item[1]), str(index)))
data = kaola._get_goods_data(goods_id=item[1])
if data.get('is_delete') == 1: # 单独处理下架商品
data['goods_id'] = item[1]
data['shelf_time'], data['delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[2],
shelf_time=item[5],
delete_time=item[6])
# my_lg.info('------>>>| 爬取到的数据为: %s' % str(data))
kaola.to_right_and_update_data(data, pipeline=tmp_sql_server)
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
index += 1
gc.collect()
continue
data = kaola._deal_with_data()
if data != {}:
data['goods_id'] = item[1]
data['shelf_time'], data['delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[2],
shelf_time=item[5],
delete_time=item[6])
if data.get('is_delete') == 1:
my_lg.info('@@@ 该商品已下架...')
tmp_sql_server._update_table_2(sql_str=kl_update_str_2, params=(item[1],), logger=my_lg)
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
continue
data['_is_price_change'], data['_price_change_info'] = _get_price_change_info(
old_price=item[3],
old_taobao_price=item[4],
new_price=data['price'],
new_taobao_price=data['taobao_price']
)
try:
old_sku_info = format_price_info_list(price_info_list=json_2_dict(item[7]), site_id=29)
except AttributeError: # 处理已被格式化过的
old_sku_info = item[7]
data['_is_price_change'], data['sku_info_trans_time'] = get_sku_info_trans_record(
old_sku_info=old_sku_info,
new_sku_info=format_price_info_list(data['price_info_list'], site_id=29),
is_price_change=item[8] if item[8] is not None else 0
)
kaola.to_right_and_update_data(data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
my_lg.info('------>>>| 休眠8s中...')
sleep(8)
else: # 表示返回的data值为空值
my_lg.error('数据库连接失败，数据库可能关闭或者维护中')
sleep(5)
pass
index += 1
gc.collect()
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
my_lg.info('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(60)
gc.collect()
def deal_with_data(self, *params):
'''
处理并存储相关秒杀商品数据
:param params: 相关参数
:return:
'''
item_list = params[0]
chuchujie = ChuChuJie_9_9_Parse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
sql_str = r'select goods_id, miaosha_time, gender, page, goods_url from dbo.chuchujie_xianshimiaosha where site_id=24'
db_goods_id_list = [item[0] for item in list(my_pipeline._select_table(sql_str=sql_str))]
# print(db_goods_id_list)
# my_phantomjs = MyPhantomjs(executable_path=PHANTOMJS_DRIVER_PATH)
# index = 1
for item in item_list:
if item.get('goods_id', '') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
goods_id = item.get('goods_id', '')
tmp_url = 'https://m.chuchujie.com/details/detail.html?id=' + str(goods_id)
chuchujie.get_goods_data(goods_id=goods_id)
goods_data = chuchujie.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
elif goods_data.get('is_delete', 0) == 1: # is_delete=1(即库存为0)则跳过
print('------>>>| 该商品库存为0，已被抢光!')
pass
else: # 否则就解析并且插入
my_phantomjs = MyPhantomjs(executable_path=PHANTOMJS_DRIVER_PATH)
# 获取剩余时间
tmp_body = my_phantomjs.use_phantomjs_to_get_url_body(
url=tmp_url,
css_selector='p#activityTime span'
)
# print(tmp_body)
try: del my_phantomjs
except: pass
gc.collect()
if tmp_body == '': # 获取手机版的页面完整html失败
sleep(.4)
pass
else:
# p#activityTime span
_t = Selector(text=tmp_body).css('p#activityTime span::text').extract_first()
_t = re.compile(r'剩余').sub('', _t)
# print(_t)
if _t == '' or _t is None:
print('获取到的_t为空值, 严重错误! 请检查!')
miaosha_end_time = self.get_miaosha_end_time(_t)
goods_data['goods_url'] = tmp_url
goods_data['goods_id'] = str(goods_id)
goods_data['sub_title'] = item.get('sub_title', '')
goods_data['miaosha_time'] = {
'miaosha_begin_time': timestamp_to_regulartime(int(time.time())),
'miaosha_end_time': timestamp_to_regulartime(int(miaosha_end_time)),
}
goods_data['miaosha_begin_time'], goods_data['miaosha_end_time'] = self.get_miaosha_begin_time_and_miaosha_end_time(miaosha_time=goods_data['miaosha_time'])
goods_data['gender'] = str(item.get('gender', '0'))
goods_data['page'] = item.get('page')
# pprint(goods_data)
# print(goods_data)
chuchujie.insert_into_chuchujie_xianshimiaosha_table(data=goods_data, pipeline=my_pipeline)
# sleep(CHUCHUJIE_SLEEP_TIME) # 放慢速度 由于初始化用了phantomjs时间久，于是就不睡眠
# index += 1
else:
print('数据库连接失败，此处跳过!')
pass
try:
del chuchujie
except:
pass
gc.collect()
def deal_with_data(self, *params):
'''
处理并存储相关拼团商品的数据
:param params: 待传参数
:return:
'''
goods_list = params[0]
mogujie = MoGuJieParse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
db_goods_id_list = [
item[0] for item in list(
my_pipeline._select_table(sql_str=mg_select_str_1))
]
print(db_goods_id_list)
for item in goods_list:
if item.get('goods_id', '') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
goods_id = str(item.get('goods_id', ''))
tmp_url = 'https://shop.mogujie.com/detail/' + str(
goods_id)
mogujie.get_goods_data(goods_id=str(goods_id))
goods_data = mogujie.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
else: # 否则就解析并且插入
# 规范化
goods_data[
'price_info_list'] = _get_mogujie_pintuan_price_info_list(
goods_data['price_info_list'])
goods_data['goods_url'] = tmp_url
goods_data['goods_id'] = str(goods_id)
goods_data['pintuan_time'] = item.get(
'pintuan_time', {})
goods_data['pintuan_begin_time'], goods_data[
'pintuan_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=item.get('pintuan_time', {}))
goods_data['all_sell_count'] = item.get(
'all_sell_count', '')
goods_data['fcid'] = str(item.get('fcid'))
goods_data['page'] = str(item.get('page'))
goods_data['sort'] = str(item.get('sort', ''))
# pprint(goods_data)
# print(goods_data)
_r = mogujie.insert_into_mogujie_pintuan_table(
data=goods_data, pipeline=my_pipeline)
if _r: # 更新
db_goods_id_list.append(goods_id)
db_goods_id_list = list(set(db_goods_id_list))
sleep(MOGUJIE_SLEEP_TIME) # 放慢速度
else:
print('数据库连接失败，此处跳过!')
pass
try:
del mogujie
except:
pass
gc.collect()
def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
sql_str = r'select goods_id, schedule, is_delete from dbo.juanpi_pintuan where site_id=18'
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
except TypeError as e:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
juanpi_pintuan = JuanPiParse()
for item in result: # 实时更新数据
data = {}
if index % 6 == 0:
try:
del juanpi_pintuan
except:
pass
gc.collect()
juanpi_pintuan = JuanPiParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
pintuan_end_time = json.loads(item[1])[0].get('end_time')
pintuan_end_time = int(str(time.mktime(time.strptime(pintuan_end_time, '%Y-%m-%d %H:%M:%S')))[0:10])
# print(pintuan_end_time)
if item[2] == 1 or pintuan_end_time < int(time.time()):
sql_str = r'delete from dbo.juanpi_pintuan where goods_id=%s'
tmp_sql_server._delete_table(sql_str=sql_str, params=(item[0]))
print('该goods_id[{0}]已过期或者售完，删除成功!'.format(item[0]))
else:
print('------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)' % (item[0], index))
juanpi_pintuan.get_goods_data(goods_id=item[0])
data = juanpi_pintuan.deal_with_data()
if data != {}:
data['goods_id'] = item[0]
juanpi_pintuan.to_right_and_update_pintuan_data(data=data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del juanpi_pintuan
# except:
# pass
gc.collect()
sleep(1.2)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
gc.collect()
class ZWMSpider(AsyncCrawler):
def __init__(self):
AsyncCrawler.__init__(
self,
ip_pool_type=IP_POOL_TYPE,
log_print=True,
log_save_path=MY_SPIDER_LOGS_PATH + '/zwm/_/',
)
self.init_zwm_pwd()
self.concurrency = 10
self.num_retries = 6
self.max_transaction_details_page_num = 20 # 交易截止抓取页
self.max_business_settlement_records_page_num = 20 # 商户结算记录截止抓取页
self.max_business_manage_page_num = 80 # 商户及门店管理截止抓取页(单数据也超过此数量就得进行修改)
self.login_cookies_dict = {}
self.sleep_time = 5
def init_zwm_pwd(self):
ori_data = ''
with open(ZWM_PWD_PATH, 'r') as f:
for line in f:
ori_data += line.replace('\n', '').replace(' ', '')
data = json_2_dict(
json_str=ori_data,
logger=self.lg,
default_res={},
)
self.zwm_username, self.zwm_pwd = data['username'], data['pwd']
assert self.zwm_username != '' and self.zwm_pwd != ''
async def _fck_run(self) -> None:
while True:
try:
login_res = await self._login()
assert login_res is True, '登录失败, 退出后续同步操作!'
# 获取所有交易明细(自己有接口, 不需要了)
# all_transaction_details = await self._get_all_transaction_details()
# pprint(all_transaction_details)
# self.lg.info('len_all_transaction_details: {}'.format(len(all_transaction_details)))
# await self._wash_and_save_all_transaction_details(target_list=all_transaction_details)
# 获取所有商户结算记录
self.lg.info('获取所有商户结算记录...')
all_business_settlement_records = await self._get_all_business_settlement_records_by_something(
)
# pprint(all_business_settlement_records)
self.lg.info('len_now_business_settlement_records: {}'.format(
len(all_business_settlement_records)))
await self._wash_save_all_business_settlement_records(
target_list=all_business_settlement_records)
self.lg.info('\n')
# 获取所有商户及门店管理记录
self.lg.info('获取所有商户及门店管理记录 ...')
all_business_manage_records = await self._get_all_business_manage_records_by_something(
)
# pprint(all_business_manage_records)
self.lg.info('len_all_business_manage_records: {}'.format(
len(all_business_manage_records)))
await self._wash_save_all_business_manage_records(
target_list=all_business_manage_records)
self.lg.info('\n')
except Exception:
self.lg.error('遇到错误:', exc_info=True)
self.lg.info('## 同步完成 ##')
self.lg.info('休眠 {} minutes ...'.format(self.sleep_time))
# 定时
await async_sleep(60 * self.sleep_time)
async def _login(self) -> bool:
"""
登录
:return:
"""
headers = await self._get_random_pc_headers()
headers.update({
'Referer':
'https://agent.yrmpay.com/JHAdminConsole/loginNew.jsp',
})
file_load = {
'loginName': self.zwm_username,
'userPassword': self.zwm_pwd,
}
m = MultipartEncoder(fields=file_load)
# self.lg.info(m)
headers.update({'Content-Type': m.content_type})
login_url = 'https://agent.yrmpay.com/JHAdminConsole/foreigncard/permissionsLogin.do'
with session() as _session:
try:
response = _session.post(
url=login_url,
headers=headers,
data=m,
proxies=self._get_proxies(),
)
login_res = json_2_dict(
json_str=response.text,
default_res={},
logger=self.lg,
).get('message', '')
assert login_res == '登录成功', '登录失败!'
self.lg.info(login_res)
self.login_cookies_dict = response.cookies.get_dict()
assert self.login_cookies_dict != {}, 'self.login_cookies_dict != 空dict!'
# pprint(self.login_cookies_dict)
except Exception:
self.lg.error('遇到错误:', exc_info=True)
return False
return True
async def _wash_save_all_business_manage_records(self, target_list: list):
"""
清洗并存储所有未存储的 or 更新所有已存储的business manage records
:param target_list:
:return:
"""
all_res = []
for item in target_list:
try:
now_time = get_shanghai_time()
create_time, modify_time, approval_status_change_time = now_time, now_time, now_time
agent_name = item['agentName']
top_agent_name = item['topAgentName']
shop_type = item['merType']
is_high_quality_shop = item['isHighQualityMer']
if is_high_quality_shop == '否':
is_high_quality_shop = 0
elif is_high_quality_shop == '是':
is_high_quality_shop = 1
else:
raise ValueError(
'is_high_quality_shop value: {} 异常!'.format(
is_high_quality_shop))
shop_id = item.get('jhmid', '')
assert shop_id != ''
shop_chat_name = item.get('merchantName', '')
assert shop_chat_name != ''
phone_num = item.get('phone', '')
assert phone_num != ''
shop_chant_num = int(item['merchantNum'])
sale = item['sale']
is_real_time = 0 if item['isRealTime'] == '未开通' else 1
approve_date = date_parse(item['approveDate'])
rate = Decimal(item['rate']).__round__(4)
account_type = item['accType']
apply_time = date_parse(item['applyTime'])
# 可为空值
process_context = item.get('processContext', '')
is_non_contact = 0 if item['isNonContact'] == '未开通' else 1
approval_status = item['approvalStatus']
if approval_status == '待审核':
approval_status = 1
elif approval_status == '审核通过':
approval_status = 0
elif approval_status == '退回':
approval_status = 2
else:
raise ValueError(
'approval_status value: {} 异常'.format(approval_status))
# 用其原值为定值不变, 且唯一
unique_id = item['id']
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
zwm_item = ZWMBusinessManageRecordItem()
zwm_item['unique_id'] = unique_id
zwm_item['create_time'] = create_time
zwm_item['modify_time'] = modify_time
zwm_item['agent_name'] = agent_name
zwm_item['top_agent_name'] = top_agent_name
zwm_item['shop_type'] = shop_type
zwm_item['is_high_quality_shop'] = is_high_quality_shop
zwm_item['shop_id'] = shop_id
zwm_item['shop_chat_name'] = shop_chat_name
zwm_item['phone_num'] = phone_num
zwm_item['shop_chant_num'] = shop_chant_num
zwm_item['sale'] = sale
zwm_item['is_real_time'] = is_real_time
zwm_item['approve_date'] = approve_date
zwm_item['rate'] = rate
zwm_item['account_type'] = account_type
zwm_item['apply_time'] = apply_time
zwm_item['process_context'] = process_context
zwm_item['is_non_contact'] = is_non_contact
zwm_item['approval_status'] = approval_status
zwm_item[
'approval_status_change_time'] = approval_status_change_time
all_res.append(dict(zwm_item))
# 查看
# if shop_id == 'YRMPAY100038574':
# if phone_num == '18192242001':
# if shop_chat_name == '哇哇叫':
# pprint(dict(zwm_item))
# pprint(all_res)
await self._insert_or_update_shop_manage_records_table(all_res=all_res)
try:
del all_res
except:
pass
return None
async def _insert_or_update_shop_manage_records_table(self, all_res: list):
"""
插入or update原数据
:param all_res:
:return:
"""
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
try:
db_data = self.sql_cli._select_table(
sql_str=zwm_select_str_2,
params=None,
logger=self.lg,
)
# pprint(db_data)
db_unique_id_list = [item[0] for item in db_data]
assert db_unique_id_list != [], 'db_unique_id_list != []'
self.lg.info('len_db_unique_id_list: {}'.format(
len(db_unique_id_list)))
except Exception:
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
self.lg.error('遇到错误:', exc_info=True)
return None
new_add_count = 0
for item in all_res:
unique_id = item['unique_id']
if unique_id not in db_unique_id_list:
# 插入
self.lg.info('inserting unique_id: {} ...'.format(unique_id))
params = await self._get_insert_item_params2(item=item)
try:
res = self.sql_cli._insert_into_table_2(
sql_str=zwm_insert_str_2,
params=params,
logger=self.lg)
if res:
new_add_count += 1
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
else:
db_old_approval_status, db_old_approval_status_change_time = await self._get_dd_old_approval_status_and_approval_status_change_time(
db_data=db_data,
unique_id=unique_id,
)
item[
'approval_status_change_time'] = await self._get_new_approval_status_change_time(
db_old_approval_status=db_old_approval_status,
db_old_approval_status_change_time=
db_old_approval_status_change_time,
new_approval_status=item['approval_status'],
new_approval_status_change_time=item[
'approval_status_change_time'])
# 更新
self.lg.info('updating unique_id: {} ...'.format(unique_id))
params = await self._get_update_item_params(item=item)
try:
res = self.sql_cli._update_table_2(
sql_str=zwm_update_str_1,
params=params,
logger=self.lg)
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
if not self.sql_cli.is_connect_success:
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
else:
pass
try:
del db_data
del db_unique_id_list
except:
pass
self.lg.info(
'table.zwm_buss_manage_records新增个数: {}'.format(new_add_count))
async def _get_new_approval_status_change_time(
self, db_old_approval_status, db_old_approval_status_change_time,
new_approval_status, new_approval_status_change_time):
"""
获取新的approval_status_change_time
:return:
"""
if db_old_approval_status_change_time is not None:
new_approval_status_change_time = db_old_approval_status_change_time \
if db_old_approval_status == new_approval_status \
else get_shanghai_time()
else:
pass
return new_approval_status_change_time
async def _get_dd_old_approval_status_and_approval_status_change_time(
self, db_data: list, unique_id: str) -> tuple:
"""
获取db 原先的approval_status
:param db_data:
:param unique_id:
:return:
"""
for item in db_data:
if unique_id == item[0]:
return item[1], item[2]
else:
continue
async def _get_all_business_manage_records_by_something(self, ):
"""
获取所有商户及门店管理记录
:return:
"""
async def get_tasks_params_list(max_business_manage_page_num) -> list:
"""获取tasks_params_list"""
tasks_params_list = []
for page_num in range(1, max_business_manage_page_num):
tasks_params_list.append({
'page_num': page_num,
})
return tasks_params_list
def get_create_task_msg(k) -> str:
return 'create task[where page_num: {}]...'.format(k['page_num'])
def get_now_args(k) -> list:
return [
k['page_num'],
]
res = await get_or_handle_target_data_by_task_params_list(
loop=self.loop,
tasks_params_list=await get_tasks_params_list(
max_business_manage_page_num=self.max_business_manage_page_num
),
func_name_where_get_create_task_msg=get_create_task_msg,
func_name=self._get_one_page_business_manage_records_by_something,
func_name_where_get_now_args=get_now_args,
func_name_where_handle_one_res=None,
func_name_where_add_one_res_2_all_res=default_add_one_res_2_all_res,
one_default_res=[],
step=self.concurrency,
logger=self.lg,
get_all_res=True,
)
return res
@catch_exceptions_with_class_logger(default_res=[])
def _get_one_page_business_manage_records_by_something(
self,
page_num: int,
start_date: str = None,
end_date: str = None,
):
"""
获取单页商户及门店管理记录
:param page_num:
:param start_date: 默认设置前一个月27号, eg: '2019-01-27 00:00'
:param end_date: eg: '2019-07-20 09:39'
:return:
"""
# todo 获取最开始->至今的, 即采集所有, 避免老店铺的审核状态变动, 而后台无法同步状态, 审核时间
# start_date = str(self.get_1_on_the_month() if start_date is None else start_date).split(' ')[0] + ' 00:00'
start_date = '2018-01-01 00:00'
end_date = (str(get_shanghai_time())
if end_date is None else end_date)[0:16]
self.lg.info('start_date: {}, end_date: {}'.format(
start_date, end_date))
headers = self.get_random_pc_headers()
headers.update({
'Accept': '*/*',
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Referer':
'https://agent.yrmpay.com/JHAdminConsole/merchantMaterial/page.do',
'X-Requested-With': 'XMLHttpRequest',
})
params = (('_dc', get_now_13_bit_timestamp()), )
data = {
'merchantCode': '',
'accType': '',
'phone': '',
'approveDate': '',
'merchantName': '',
'processStatus': '',
'startTime': start_date,
'endTime': end_date,
'agentName': '',
'page': str(page_num),
'start': str((page_num - 1) * 100), # 开始位置0, 100, 200
'limit': '100',
}
url = 'https://agent.yrmpay.com/JHAdminConsole/merchantMaterial/materialList.do'
body = Requests.get_url_body(
method='post',
url=url,
headers=headers,
params=params,
cookies=self.login_cookies_dict,
data=data,
ip_pool_type=self.ip_pool_type,
num_retries=self.num_retries,
)
assert body != '', 'body不为空值!'
res = json_2_dict(json_str=body, logger=self.lg,
default_res={}).get('materialList', [])
self.lg.info('[{}] page_num: {}'.format(
'+' if res != [] else '-',
page_num,
))
return res
async def _wash_save_all_business_settlement_records(self, target_list):
"""
清洗并存储 未被存储的所有商户结算记录
:param target_list:
:return:
"""
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
try:
db_data = self.sql_cli._select_table(
sql_str=zwm_select_str_1,
params=None,
logger=self.lg,
)
# pprint(db_data)
db_unique_id_list = [item[0] for item in db_data]
assert db_unique_id_list != [], 'db_unique_id_list != []'
self.lg.info('len_db_unique_id_list: {}'.format(
len(db_unique_id_list)))
except Exception:
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
self.lg.error('遇到错误:', exc_info=True)
return None
all_res = []
for item in target_list:
try:
create_time = get_shanghai_time()
shop_name = item.get('merName', '')
assert shop_name != ''
shop_id = item.get('mid', '')
assert shop_id != ''
agent_name = item['agentName']
top_agent_name = item['topAgentName']
date_settle_type = item['settleType']
trans_amount = item.get('transAmt', '')
assert trans_amount != ''
trans_amount = Decimal(trans_amount).__round__(2)
service_charge = Decimal(item['mda']).__round__(2)
accounting_amount = Decimal(item['mnamt']).__round__(2)
trans_date = date_parse(item['txnDay'])
trans_status = item['status']
if trans_status == '已结算':
trans_status = 0
else:
raise ValueError(
'trans_status: {}, 未知交易状态!'.format(trans_status))
settle_type = item['type']
settle_date = date_parse(item['minDay'])
# 生成唯一标识码
unique_id = get_uuid3(
target_str=shop_id + str(date_settle_type) + str(trans_amount) + \
str(service_charge) + str(trans_date) + \
str(settle_type) + str(settle_date),)
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
if unique_id in db_unique_id_list:
# self.lg.info('该record[unique_id: {}]已存在!'.format(unique_id))
continue
settle_record_item = ZWMBusinessSettlementRecordItem()
settle_record_item['unique_id'] = unique_id
settle_record_item['create_time'] = create_time
settle_record_item['shop_name'] = shop_name
settle_record_item['shop_id'] = shop_id
settle_record_item['agent_name'] = agent_name
settle_record_item['top_agent_name'] = top_agent_name
settle_record_item['date_settle_type'] = date_settle_type
settle_record_item['trans_amount'] = trans_amount
settle_record_item['service_charge'] = service_charge
settle_record_item['accounting_amount'] = accounting_amount
settle_record_item['trans_date'] = trans_date
settle_record_item['trans_status'] = trans_status
settle_record_item['settle_type'] = settle_type
settle_record_item['settle_date'] = settle_date
all_res.append(dict(settle_record_item))
# pprint(all_res)
self.lg.info('未存储个数: {}'.format(len(all_res)))
await self._save_all_business_settlement_records(all_res=all_res)
try:
del all_res
except:
pass
return None
async def _save_all_business_settlement_records(self, all_res) -> None:
"""
存储新增的商家提现记录
:param all_res:
:return:
"""
new_add_count = 0
for item in all_res:
# 处理未存储的新数据
unique_id = item['unique_id']
self.lg.info('saving unique_id: {} ...'.format(unique_id))
params = await self._get_insert_item_params(item=item)
try:
res = self.sql_cli._insert_into_table_2(
sql_str=zwm_insert_str_1, params=params, logger=self.lg)
if res:
new_add_count += 1
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
if not self.sql_cli.is_connect_success:
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
else:
pass
self.lg.info('新增个数: {}'.format(new_add_count))
return None
async def _get_insert_item_params(self, item) -> tuple:
"""
待插入对象
:param item:
:return:
"""
return tuple([
item['unique_id'],
item['create_time'],
item['shop_name'],
item['shop_id'],
item['agent_name'],
item['top_agent_name'],
item['date_settle_type'],
item['trans_amount'],
item['service_charge'],
item['accounting_amount'],
item['trans_date'],
item['trans_status'],
item['settle_type'],
item['settle_date'],
])
async def _get_insert_item_params2(self, item) -> tuple:
"""
待插入对象, zwm_buss_manage_records table
:param item:
:return:
"""
return tuple([
item['unique_id'],
item['create_time'],
item['modify_time'],
item['agent_name'],
item['top_agent_name'],
item['shop_type'],
item['is_high_quality_shop'],
item['shop_id'],
item['shop_chat_name'],
item['phone_num'],
item['shop_chant_num'],
item['sale'],
item['is_real_time'],
item['approve_date'],
item['rate'],
item['account_type'],
item['apply_time'],
item['process_context'],
item['is_non_contact'],
item['approval_status'],
item['approval_status_change_time'],
])
async def _get_update_item_params(self, item: dict) -> tuple:
"""
更新对象, zwm_buss_manage_records table
:param item:
:return:
"""
return tuple([
item['modify_time'],
item['agent_name'],
item['top_agent_name'],
item['shop_type'],
item['is_high_quality_shop'],
item['shop_id'],
item['shop_chat_name'],
item['phone_num'],
item['shop_chant_num'],
item['sale'],
item['is_real_time'],
item['approve_date'],
item['rate'],
item['account_type'],
item['apply_time'],
item['process_context'],
item['is_non_contact'],
item['approval_status'],
item['approval_status_change_time'],
item['unique_id'],
])
async def _wash_and_save_all_transaction_details(self, target_list: list):
"""
清洗并存储所有交易明细
:param target_list:
:return:
"""
pass
async def _get_all_business_settlement_records_by_something(self):
"""
获取所有商户结算记录
:return:
"""
async def get_tasks_params_list(
max_business_settlement_records_page_num) -> list:
"""获取tasks_params_list"""
tasks_params_list = []
for page_num in range(1, max_business_settlement_records_page_num):
tasks_params_list.append({
'page_num': page_num,
})
return tasks_params_list
def get_create_task_msg(k) -> str:
return 'create task[where page_num: {}]...'.format(k['page_num'])
def get_now_args(k) -> list:
return [
k['page_num'],
]
res = await get_or_handle_target_data_by_task_params_list(
loop=self.loop,
tasks_params_list=await
get_tasks_params_list(max_business_settlement_records_page_num=self
.max_business_settlement_records_page_num),
func_name_where_get_create_task_msg=get_create_task_msg,
func_name=self.
_get_one_page_business_settlement_records_by_something,
func_name_where_get_now_args=get_now_args,
func_name_where_add_one_res_2_all_res=default_add_one_res_2_all_res,
one_default_res=[],
step=self.concurrency,
logger=self.lg,
get_all_res=True,
)
return res
@catch_exceptions_with_class_logger(default_res=[])
def _get_one_page_business_settlement_records_by_something(
self,
page_num: int,
start_date: str = None,
end_date: str = None,
mid: str = '',
agent_name: str = '') -> list:
"""
得到单页商户结算记录
:param page_num:
:param start_date: 默认设置前一个月27号, eg: '2019-07-01'
:param end_date: eg: '2019-07-16'
:param mid: 商户编号
:param agent_name: 顶级机构名称
:return:
"""
start_date = str(self.get_1_on_the_month(
) if start_date is None else start_date).split(' ')[0]
# start_date = '2018-01-01'
end_date = (str(get_shanghai_time())
if end_date is None else end_date).split(' ')[0]
self.lg.info('start_date: {}, end_date: {}'.format(
start_date, end_date))
headers = self.get_random_pc_headers()
headers.update({
'Accept': '*/*',
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Referer':
'https://agent.yrmpay.com/JHAdminConsole/merSettle/querySettleJsp.do',
'X-Requested-With': 'XMLHttpRequest',
})
params = (('_dc', get_now_13_bit_timestamp()), )
data = {
'startDate': start_date,
'endDate': end_date,
'mid': mid,
'agentName': agent_name,
'loginAgentId': self.zwm_username[0:8], # 前8位
'page': str(page_num),
'start': str((page_num - 1) * 100), # 开始位置, 0, 100, 200
'limit': '100',
}
url = 'https://agent.yrmpay.com/JHAdminConsole/merSettle/queryMerSettleList.do'
body = Requests.get_url_body(
method='post',
url=url,
headers=headers,
params=params,
cookies=self.login_cookies_dict,
data=data,
ip_pool_type=self.ip_pool_type,
num_retries=self.num_retries,
)
# self.lg.info(body)
assert body != '', 'body不为空值!'
res = json_2_dict(json_str=body, logger=self.lg,
default_res={}).get('data', [])
self.lg.info('[{}] page_num: {}'.format(
'+' if res != [] else '-',
page_num,
))
return res
async def _get_all_transaction_details(self) -> list:
"""
获取所有交易流水
:return:
"""
async def _get_tasks_params_list() -> list:
"""获取tasks_params_list"""
tasks_params_list = []
for page_num in range(1, self.max_transaction_details_page_num):
tasks_params_list.append({
'page_num': page_num,
})
return tasks_params_list
tasks_params_list = await _get_tasks_params_list()
tasks_params_list_obj = TasksParamsListObj(
tasks_params_list=tasks_params_list,
step=self.concurrency,
)
all_res = []
while True:
try:
slice_params_list = tasks_params_list_obj.__next__()
except AssertionError:
break
tasks = []
for k in slice_params_list:
page_num = k['page_num']
self.lg.info(
'create task[where page_num: {}]...'.format(page_num))
func_args = [
page_num,
]
tasks.append(
self.loop.create_task(
unblock_func(
func_name=self.
_get_one_page_transaction_details_by_something,
func_args=func_args,
logger=self.lg,
)))
one_res = await async_wait_tasks_finished(tasks=tasks)
try:
del tasks
except:
pass
for i in one_res:
for j in i:
all_res.append(j)
return all_res
@catch_exceptions_with_class_logger(default_res=[])
def _get_one_page_transaction_details_by_something(
self,
page_num: int,
start_date: str = None,
end_date: str = None,
transaction_status: str = '',
mer_name: str = '',
order_no: str = '',
mid: str = '',
agent_name: str = '',
pay_channel: str = '',
sale_name: str = '',
) -> list:
"""
获取单页交易流水
:param page_num: 开始页面, eg: 1, 2, 3
:param start_date: eg: '2019-07-16 00:00'
:param end_data: eg: '2019-07-16 10:02'
:param transaction_status: 交易状态 | 选择全部: '' or 交易成功: '1' or 退款成功: '3'
:param mer_name: 待查询的商户名称
:param order_no: 订单号
:param mid: 商户编号
:param agent_name: 顶级机构名称
:param pay_channel: 支付渠道 | 请选择: '' or 微信: '50' or 支付宝: '51' or 微信条码: '55' or 支付宝条码: '56' or 微信小程序: '67'
:param sale_name: 销售名称
:return:
"""
res = []
start_date = self.get_0_00_on_the_day(
) if start_date is None else start_date
end_date = str(get_shanghai_time()) if end_date is None else end_date
headers = self.get_random_pc_headers()
headers.update({
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Accept': '*/*',
'Referer':
'https://agent.yrmpay.com/JHAdminConsole/limafuReport/transflow.do',
'X-Requested-With': 'XMLHttpRequest',
})
params = (('_dc', get_now_13_bit_timestamp()), )
data = {
'startDate': start_date,
'endDate': end_date,
'type': '2',
'status': transaction_status,
'payChannel': pay_channel,
'orderNo': order_no,
'merName': mer_name,
'mid': mid,
'agentName': agent_name,
'saleName': sale_name,
'page': str(page_num),
'start': str((page_num - 1) * 20), # 开始位置, 0, 20, 40
'limit': '20',
}
url = 'https://agent.yrmpay.com/JHAdminConsole/limafuReport/querylimafuTransFlow.do'
body = Requests.get_url_body(
method='post',
url=url,
headers=headers,
params=params,
cookies=self.login_cookies_dict,
data=data,
ip_pool_type=self.ip_pool_type,
num_retries=self.num_retries,
)
assert body != '', 'body不为空值!'
res = json_2_dict(json_str=body, logger=self.lg,
default_res={}).get('data', [])
self.lg.info('[{}] page_num: {}'.format(
'+' if res != [] else '-',
page_num,
))
return res
def get_0_00_on_the_day(self) -> str:
"""
获取当天的0点
:return:
"""
now_time = get_shanghai_time()
return str(
datetime(year=now_time.year,
month=now_time.month,
day=now_time.day))
def get_1_on_the_month(self) -> str:
"""
获取当月的第一天
:return:
"""
now_time = get_shanghai_time()
# 避免月底流水无法获取
day = 5
now_month = now_time.month
if now_month > 1:
now_month -= 1
else:
# now_month为1月份
now_month = 12
return str(datetime(
year=now_time.year,
month=now_month,
day=day,
))
def _get_proxies(self) -> dict:
"""
获取代理
:return:
"""
proxies = Requests._get_proxies(ip_pool_type=self.ip_pool_type, )
assert proxies != {}, 'proxies不为空dict!'
return proxies
async def _get_random_pc_headers(self) -> dict:
"""
:return:
"""
return self.get_random_pc_headers()
@staticmethod
def get_random_pc_headers() -> dict:
headers = get_random_headers(
upgrade_insecure_requests=False,
cache_control='',
)
headers.update({
'Origin': 'https://agent.yrmpay.com',
'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8',
# 'Content-Type': 'multipart/form-data; boundary=----WebKitFormBoundarytSJCAoaErjNY4IbM',
'accept': 'text/plain, */*; q=0.01',
'X-Requested-With': 'XMLHttpRequest',
})
return headers
def __del__(self):
try:
del self.lg
del self.login_cookies_dict
except:
pass
try:
del self.loop
except:
pass
collect()
def run_forever():
while True:
# ** 不能写成全局变量并放在循环中, 否则会一直记录到同一文件中
my_lg = set_logger(log_file_name=MY_SPIDER_LOGS_PATH + '/网易严选/实时更新/' +
str(get_shanghai_time())[0:10] + '.txt',
console_log_level=INFO,
file_log_level=ERROR)
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
# and GETDATE()-ModfiyTime>0.3
# and MainGoodsID is not null
sql_str = '''
select SiteID, GoodsID, IsDelete, Price, TaoBaoPrice, shelf_time, delete_time
from dbo.GoodsInfoAutoGet
where SiteID=30 and GETDATE()-ModfiyTime>0.3 and MainGoodsID is not null
order by ID asc'''
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
except TypeError:
my_lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
my_lg.info('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
my_lg.info(str(result))
my_lg.info(
'--------------------------------------------------------')
my_lg.info('总计待更新个数: {0}'.format(len(result)))
my_lg.info('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
yanxuan = YanXuanParse(logger=my_lg)
for item in result: # 实时更新数据
if index % 5 == 0:
try:
del yanxuan
except:
pass
yanxuan = YanXuanParse(logger=my_lg)
gc.collect()
if index % 10 == 0: # 每10次重连一次，避免单次长连无响应报错
my_lg.info('正在重置，并与数据库建立新连接中...')
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
my_lg.info('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
my_lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (str(item[1]), str(index)))
yanxuan._get_goods_data(goods_id=item[1])
data = yanxuan._deal_with_data()
if data != {}:
data['goods_id'] = item[1]
data['shelf_time'], data[
'delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[2],
shelf_time=item[5],
delete_time=item[6])
if data.get('is_delete') == 1: # 单独处理下架商品
my_lg.info('@@@ 该商品已下架...')
else:
data['_is_price_change'], data[
'_price_change_info'] = _get_price_change_info(
old_price=item[3],
old_taobao_price=item[4],
new_price=data['price'],
new_taobao_price=data['taobao_price'])
# my_lg.info(str(data['_is_price_change']) + ' ' +str(data['_price_change_info']))
yanxuan.to_right_and_update_data(
data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
my_lg.info('------>>>| 休眠8s中...')
sleep(8)
else: # 表示返回的data值为空值
my_lg.error('数据库连接失败，数据库可能关闭或者维护中')
sleep(5)
pass
index += 1
gc.collect()
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
my_lg.info('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(60)
gc.collect()
def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
# and GETDATE()-ModfiyTime>1
sql_str = '''
select GoodsID, IsDelete, Price, TaoBaoPrice, shelf_time, delete_time
from dbo.GoodsInfoAutoGet
where SiteID=2 and MainGoodsID is not null and GETDATE()-ModfiyTime>1
order by ID desc
'''
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
except TypeError as e:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
ali_1688 = ALi1688LoginAndParse()
for item in result: # 实时更新数据
if index % 5 == 0:
ali_1688 = ALi1688LoginAndParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (item[0], index))
data = ali_1688.get_ali_1688_data(item[0])
if isinstance(data, int) is True: # 单独处理返回tt为4041
continue
else:
pass
if data.get('is_delete') == 1: # 单独处理【原先插入】就是 下架状态的商品
data['goods_id'] = item[0]
data['shelf_time'], data[
'delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[1],
shelf_time=item[4],
delete_time=item[5])
print('上架时间:', data['shelf_time'], '下架时间:',
data['delete_time'])
# print('------>>>| 爬取到的数据为: ', data)
ali_1688.to_right_and_update_data(
data, pipeline=tmp_sql_server)
sleep(1.5) # 避免服务器更新太频繁
index += 1
gc.collect()
continue
data = ali_1688.deal_with_data()
if data != {}:
data['goods_id'] = item[0]
data['shelf_time'], data[
'delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[1],
shelf_time=item[4],
delete_time=item[5])
print('上架时间:', data['shelf_time'], '下架时间:',
data['delete_time'])
'''为了实现这个就必须保证price, taobao_price在第一次抓下来后一直不变，变得记录到_price_change_info字段中'''
# 业务逻辑
# 公司后台 modify_time > 转换时间，is_price_change=1, 然后对比pricechange里面的数据，要是一样就不提示平台员工改价格
data['_is_price_change'], data[
'_price_change_info'] = _get_price_change_info(
old_price=item[2],
old_taobao_price=item[3],
new_price=data['price'],
new_taobao_price=data['taobao_price'])
# print('------>>>| 爬取到的数据为: ', data)
ali_1688.to_right_and_update_data(
data, pipeline=tmp_sql_server)
sleep(.3) # 避免服务器更新太频繁
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del ali_1688
# except:
# pass
gc.collect()
sleep(2.2)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
# del ali_1688
gc.collect()
class XiaoHongShuParse(Crawler):
def __init__(self, logger=None, by_wx=False):
'''
:param logger:
:param by_wx: 抓取wx小程序(弊端: 没有tags值 优点: 可长期采集, 不容易被封) √
vs 抓取app(弊端: 测试发现就算用高匿proxy每跑20个, 就被封3-5分钟, 效率低)
'''
super(XiaoHongShuParse, self).__init__(
ip_pool_type=IP_POOL_TYPE,
log_print=True,
logger=logger,
log_save_path=MY_SPIDER_LOGS_PATH + '/小红书/_/',
)
self._set_headers()
self.by_wx = by_wx
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.index = 0
self.success_insert_db_num = 0
self.CRAWL_ARTICLE_SLEEP_TIME = 1 # 抓每天文章的sleep_time(wx=1/app=2)
self.LONG_SLEEP_TIME = 0 # 每抓10条休眠时间
self.db_share_id = [] # db原先存在的
self.ip_pool_type = IP_POOL_TYPE
def _set_headers(self):
self.headers = {
'authority': 'www.xiaohongshu.com',
'cache-control': 'max-age=0',
'upgrade-insecure-requests': '1',
'user-agent': get_random_pc_ua(),
'accept':
'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
}
def _get_xiaohongshu_home_aritles_info(self):
'''
小红书主页json模拟获取(模拟app端主页请求)
:return:
'''
headers = {
'Accept-Encoding': 'br, gzip, deflate',
'Connection': 'keep-alive',
# 'device_id': '2AEEF650-2CAE-480F-B30C-CA5CABC26193',
'Accept': 'application/json',
'Host': 'www.xiaohongshu.com',
'User-Agent':
'discover/5.19.1 (iPhone; iOS 11.0; Scale/3.00) Resolution/1242*2208 Version/5.19.1 Build/5191001 Device/(Apple Inc.;iPhone7,1)',
# 'Authorization': 'session.1210427606534613282',
'Accept-Language': 'zh-Hans-CN;q=1, en-CN;q=0.9',
'X-Tingyun-Id': 'LbxHzUNcfig;c=2;r=551911068',
}
# 下面参数每个都是必须的, 且不变
params = (
('deviceId', '2AEEF650-2CAE-480F-B30C-CA5CABC26193'),
('device_fingerprint',
'201805101352429dd715d37f422fe3e64dd3923c0b0bc8017d90c099539039'),
('device_fingerprint1',
'201805101352429dd715d37f422fe3e64dd3923c0b0bc8017d90c099539039'),
('lang', 'zh'),
('num', '10'),
('oid', 'homefeed_recommend'),
('platform', 'iOS'),
('sid', 'session.1210427606534613282'),
('sign', 'c9a9eadc6c46823ae3075d7b28fe97fa'),
('t', '1531010946'), # 用原来的避免sign错误
# ('t', int(time.time())),
)
url = 'https://www.xiaohongshu.com/api/sns/v6/homefeed'
body = Requests.get_url_body(url=url,
headers=headers,
params=params,
cookies=None,
high_conceal=True,
ip_pool_type=self.ip_pool_type)
# self.lg.info(body)
if body == '':
self.lg.error('获取到的body为空值!请检查!')
return []
if re.compile(r'<title>403 Forbidden</title>').findall(body) != []:
self.lg.info('此次抓取被403禁止!')
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
return []
_ = json_2_dict(body, logger=self.lg).get('data', [])
# pprint(_)
if _ == []:
self.lg.error('获取到的data为空值!请检查!')
return []
_ = [{
'share_link': item.get('share_link', ''),
'likes': item.get('likes', 0),
} for item in _]
return _
def _deal_with_home_article(self):
home_articles_link_list = self._get_xiaohongshu_home_aritles_info()
# pprint(home_articles_link_list)
self.lg.info(home_articles_link_list)
# self.lg.info(str(home_articles_link_list) + '\n')
data = self._deal_with_articles(articles_list=home_articles_link_list)
# pprint(data)
self._save_articles(data=data)
self.lg.info('一次采集完毕, 进入{0}s休眠...'.format(self.LONG_SLEEP_TIME))
sleep(self.LONG_SLEEP_TIME) # 设置休眠, 实现周期抓取, 避免频繁抓取被封禁(测试发现抓20个就会封一会)
return True
def _deal_with_articles(self, articles_list):
'''
处理给与小红书地址(articles_list)
:param articles_list: 待抓取的文章地址list eg: [{'share_link':'小红书地址', 'likes': 111}, ...] # likes可以为空
:return: data a list
'''
data = []
_db = self.my_pipeline._select_table(
sql_str='select share_id from dbo.daren_recommend')
if _db is not None and _db != [] and _db != [()]:
self.db_share_id = [item[0] for item in _db]
# self.lg.info(self.db_share_id)
for item in articles_list:
self.index += 1
article_link = item.get('share_link', '')
article_likes = item.get('likes', 0)
article_id = re.compile(r'/item/(\w+)').findall(article_link)[0]
if article_id in self.db_share_id:
self.lg.info('该{0}已存在于db中...跳过!'.format(article_id))
self.lg.info('[+] {0}'.format(article_link))
if article_link != '':
if not self.by_wx: # 通过pc端
params = (('_at',
'499a292d16aed3d80a068fc60e0c1e3ee3410'), )
body = Requests.get_url_body(
url=article_link,
headers=self.headers,
params=params,
high_conceal=True,
ip_pool_type=self.ip_pool_type)
# self.lg.info(str(body))
try:
article_info = re.compile(
'window.__INITIAL_SSR_STATE__=(.*?)</script>'
).findall(body)[0]
# self.lg.info(str(article_info))
except IndexError:
self.lg.error('获取article_info时IndexError!请检查!')
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
continue
article_info = self._wash_article_info(
json_2_dict(json_str=article_info, logger=self.lg))
# pprint(article_info)
article_info = self._parse_page(
article_link=article_link,
article_info=article_info,
article_likes=article_likes)
# pprint(article_info)
else: # 通过wx小程序
# url = "https://www.xiaohongshu.com/wx_mp_api/sns/v1/note/" + article_id
# wx接口改版, 需要一个参数Auth认证, 暂时没处理
url = 'https://www.xiaohongshu.com/sapi/wx_mp_api/sns/v1/note/' + article_id
params = {
"sid":
"session.1210427606534613282", # 对方服务器用来判断登录是否过期(过期则替换这个即可再次采集)
}
body = Requests.get_url_body(
url=url,
headers=self.headers,
params=params,
ip_pool_type=self.ip_pool_type)
# self.lg.info(str(body))
if body == '':
self.lg.error('获取到的article的body为空值!跳过!')
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
continue
article_info = self._wash_article_info_from_wx(
json_2_dict(json_str=body, logger=self.lg))
article_info = self._parse_page_from_wx(
article_link=article_link,
article_info=article_info,
article_likes=article_likes)
# pprint(article_info)
data.append(article_info)
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
else:
pass
self.lg.info('@@@ 抓取完毕!')
# pprint(data)
return data
def _parse_page(self, **kwargs):
'''
解析单个article的info
:return: a dict
'''
article_link = kwargs.get('article_link', '')
article_info = kwargs.get('article_info', {}).get('NoteView', {})
article_likes = kwargs.get('article_likes', get_random_int_number())
error_msg = '出错article_url: {0}'.format(article_link)
try:
nick_name = article_info.get('noteInfo',
{}).get('user',
{}).get('nickname', '')
assert nick_name != '', '获取到的nick_name为空值!请检查!' + error_msg
head_url = article_info.get('noteInfo',
{}).get('user', {}).get('image', '')
assert head_url != '', '获取到的head_url为空值!请检查!' + error_msg
profile = '' # 个人简介或者个性签名(留空)
share_id = article_info.get('noteInfo', {}).get('id', '')
assert share_id != '', '获取到的share_id为空值!请检查!' + error_msg
title = article_info.get('noteInfo', {}).get('title',
'') # title默认留空
comment_content = self.wash_sensitive_info(
article_info.get('noteInfo', {}).get('desc', ''))
assert comment_content != '', '获取到的comment_content为空!请检查!' + error_msg
share_img_url_list = [{ # 如果是视频的话, 则里面第一章图片就是视频第一帧
'img_url': item.get('original', ''),
'height': item.get('height'), # 图片高宽
'width': item.get('width'),
} for item in article_info.get('noteInfo', {}).get('images', [])]
assert share_img_url_list != [], '获取到的share_img_url_list为空list!请检查!' + error_msg
div_body = '' # 默认留空
gather_url = article_link
# 原文章原始的创建日期
tmp_create_time = article_info.get('noteInfo', {}).get('time', '')
assert tmp_create_time != '', '获取到的create_time为空值!请检查!'
create_time = string_to_datetime(tmp_create_time + ':00')
site_id = 3 # 小红书
goods_url_list = [] # 该文章待抓取的商品地址
share_goods_base_info = []
tags = self._get_tags(article_info=article_info)
# 视频播放地址
tmp_video_url = article_info.get('noteInfo', {}).get('video', '')
tmp_video_url = 'https:' + tmp_video_url if tmp_video_url != '' else ''
video_url = re.compile(r'//sa.').sub(r'//v.', tmp_video_url)
likes = article_likes
collects = article_info.get('noteInfo', {}).get('collects', None)
assert collects is not None, '获取到的collects为None!请检查!' + error_msg
except Exception:
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
self.lg.error('遇到错误: ', exc_info=True)
return {}
_ = WellRecommendArticle()
_['nick_name'] = nick_name
_['head_url'] = head_url
_['profile'] = profile
_['share_id'] = share_id
_['title'] = title
_['comment_content'] = comment_content
_['share_img_url_list'] = share_img_url_list
_['div_body'] = div_body
_['gather_url'] = gather_url
_['create_time'] = create_time
_['site_id'] = site_id
_['goods_url_list'] = goods_url_list
_['tags'] = tags
_['share_goods_base_info'] = share_goods_base_info
_['video_url'] = video_url
_['likes'] = likes
_['collects'] = collects
return _
def _parse_page_from_wx(self, **kwargs):
'''
解析wx单个article的info
:param kwargs:
:return: a WellRecommendArticle object
'''
article_link = kwargs.get('article_link', '')
article_info = kwargs.get('article_info', {}).get('data', {})
article_likes = kwargs.get('article_likes', get_random_int_number())
error_msg = '出错article_url: {0}'.format(article_link)
try:
nick_name = article_info.get('user', {}).get('nickname', '')
assert nick_name != '', '获取到的nick_name为空值!请检查!' + error_msg
head_url = article_info.get('user', {}).get('images', '')
assert head_url != '', '获取到的head_url为空值!请检查!' + error_msg
profile = '' # 个人简介或者个性签名(留空)
share_id = article_info.get('id', '')
assert share_id != '', '获取到的share_id为空值!请检查!' + error_msg
title = self.wash_sensitive_info(article_info.get('title',
'')) # title默认留空
comment_content = self.wash_sensitive_info(
article_info.get('desc', ''))
assert comment_content != '', '获取到的comment_content为空!请检查!' + error_msg
share_img_url_list = [{ # 如果是视频的话, 则里面第一章图片就是视频第一帧
'img_url': item.get('original', ''),
'height': item.get('height'), # 图片高宽
'width': item.get('width'),
} for item in article_info.get('images_list', [])]
assert share_img_url_list != [], '获取到的share_img_url_list为空list!请检查!' + error_msg
div_body = '' # 默认留空
gather_url = article_link
# 原文章原始的创建日期
tmp_create_time = article_info.get('time', '')
assert tmp_create_time != '', '获取到的create_time为空值!请检查!'
create_time = string_to_datetime(tmp_create_time + ':00')
site_id = 3 # 小红书
goods_url_list = [] # 该文章待抓取的商品地址
share_goods_base_info = []
# wx端tags没有返回值
tags = self._get_tags_from_wx(article_info=article_info)
# 视频播放地址
tmp_video_url = article_info.get('video', '')
tmp_video_url = re.compile('\?.*').sub('', tmp_video_url)
video_url = re.compile(r'//sa.').sub(r'//v.', tmp_video_url)
likes = article_likes
collects = article_info.get('fav_count', None)
assert collects is not None, '获取到的collects为None!请检查!' + error_msg
except Exception:
sleep(self.CRAWL_ARTICLE_SLEEP_TIME)
self.lg.error('遇到错误:', exc_info=True)
return {}
_ = WellRecommendArticle()
_['nick_name'] = nick_name
_['head_url'] = head_url
_['profile'] = profile
_['share_id'] = share_id
_['title'] = title
_['comment_content'] = comment_content
_['share_img_url_list'] = share_img_url_list
_['div_body'] = div_body
_['gather_url'] = gather_url
_['create_time'] = create_time
_['site_id'] = site_id
_['goods_url_list'] = goods_url_list
_['tags'] = tags
_['share_goods_base_info'] = share_goods_base_info
_['video_url'] = video_url
_['likes'] = likes
_['collects'] = collects
return _
def _save_articles(self, data):
'''
存储数据
:param data:
:return:
'''
self.lg.info('即将开始存储该文章...')
sql_str = 'insert into dbo.daren_recommend(share_id, nick_name, head_url, profile, gather_url, title, comment_content, share_img_url_list, div_body, create_time, site_id, tags, video_url, likes, collects) values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)'
for item in data:
if self.index % 20 == 0:
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if self.my_pipeline.is_connect_success:
share_id = item.get('share_id', '')
if share_id == '':
continue
self.lg.info(
'------>>>| 正在存储share_id: {0}...'.format(share_id))
try:
params = self._get_db_insert_into_params(item=item)
except Exception:
continue
result = self.my_pipeline._insert_into_table_2(sql_str=sql_str,
params=params,
logger=self.lg)
if result:
self.success_insert_db_num += 1
else:
self.lg.error('db连接失败!存储失败! 出错article地址:{0}'.format(
item.get('gather_url', '')))
self.lg.info('@' * 9 +
' 目前成功存储{0}个!'.format(self.success_insert_db_num))
return True
def _get_db_insert_into_params(self, item):
'''
得到待存储的数据
:param item:
:return:
'''
params = [
item['share_id'],
item['nick_name'],
item['head_url'],
item['profile'],
item['gather_url'],
item['title'],
item['comment_content'],
dumps(item['share_img_url_list'], ensure_ascii=False),
# dumps(item['goods_id_list'], ensure_ascii=False),
# dumps(item['share_goods_base_info'], ensure_ascii=False),
item['div_body'],
item['create_time'],
item['site_id'],
dumps(item['tags'], ensure_ascii=False),
item['video_url'],
item['likes'],
item['collects'],
]
return tuple(params)
def _get_tags(self, article_info):
'''
获取tags
:return:
'''
tmp_tags = list_duplicate_remove([
str(item.get('name', '')) for item in article_info.get(
'noteInfo', {}).get('relatedTags', [])
])
# self.lg.info(str(tmp_tags))
# list先转str, 去掉敏感字眼, 再转list, 并去除''元素, 得到最后list
tmp_tags = delete_list_null_str(
self.wash_sensitive_info('|'.join(tmp_tags)).split('|'))
tags = [
{ # tags可以为空list!
'keyword': item,
} for item in tmp_tags
]
return tags
def _get_tags_from_wx(self, article_info):
'''
从wx获取tags
:param article_info:
:return:
'''
return []
def _wash_article_info(self, _dict):
'''
清洗无用字段
:param _dict:
:return:
'''
try:
_dict['NoteView']['commentInfo'] = {} # 评论信息
_dict['NoteView']['panelData'] = [] # 相关笔记
except:
pass
return _dict
def _wash_article_info_from_wx(self, _dict):
'''
清洗wx无用字段
:param _dict:
:return:
'''
try:
_dict['data']['mini_program_info'] = {} # 推荐首页的缩略信息
_dict['data']['share_info'] = {} # 分享的信息
except:
pass
return _dict
def wash_sensitive_info(self, data):
'''
清洗敏感信息
:param data:
:return:
'''
replace_str_list = [
('小红书', '优秀网'),
('xiaohongshu', '优秀网'),
('XIAOHONGSHU', '优秀网'),
('某宝', '优秀网'),
('薯队长', '秀队长'),
('薯宝宝', '秀客'),
('红薯们', '秀客们'),
('小红薯', '小秀客'),
]
add_sensitive_str_list = [
'#.*#',
'@.*?薯',
]
return wash_sensitive_info(
data=data,
replace_str_list=replace_str_list,
add_sensitive_str_list=add_sensitive_str_list,
is_default_filter=True,
is_lower=False,
)
def __del__(self):
try:
del self.lg
del self.my_pipeline
except:
pass
gc.collect()
class RecommendGoodOps(AsyncCrawler):
"""荐好ops"""
def __init__(self):
AsyncCrawler.__init__(
self,
log_print=True,
is_new_loop=False,
log_save_path=MY_SPIDER_LOGS_PATH + '/荐好/ops/',
ip_pool_type=IP_POOL_TYPE,
)
self.request_num_retries = 6
self.article_type = 'zq'
self.yx_username = input('请输入yx_username:'******'请输入yx_password:'******'yx_username: {}, yx_password: {}'.format(
self.yx_username, self.yx_password))
# 不支持https了, 原先支持
self.publish_url = 'http://configadmin.yiuxiu.com/Business/Index'
self.select_sql0 = 'SELECT unique_id FROM dbo.recommend_good_ops_article_id_duplicate_removal'
self.insert_sql0 = 'INSERT INTO dbo.recommend_good_ops_article_id_duplicate_removal(unique_id, create_time) values(%s, %s)'
self.min_article_id = 0
self.max_article_id = 0
self.driver_headless = True
# 必须使用代理, yx限制ip频繁
self.driver_use_proxy = True
# 荐好管理label
self.recommend_good_label_css_selector = 'span.nav-label'
# 设置开眼的min_article_id, max_article_id
self.ky_min_article_id, self.ky_max_article_id = 4000, 60000
# article_id 截取数
self.zq_intercept_num = 2
self.hk_intercept_num = 1
self.lfd_intercept_num = 1
self.gxg_intercept_num = 1
self.pp_intercept_num = 2
self.kr_intercept_num = 1
self.dfsp_intercept_num = 1
self.jrxsp_intercept_num = 1
self.ky_intercept_num = 1
# 增加全屏视频数
self.lsp_intercept_num = 2
self.mp_intercept_num = 1
self.klm_intercept_num = 2
self.article_parser = None
# 暂存好看视频list的dict
self.hk_cache_dict = {}
self.lfd_cache_dict = {}
self.gxg_cache_dict = {}
self.pp_cache_dict = {}
self.kr_cache_dict = {}
self.dfsp_cache_dict = {}
self.lsp_cache_dict = {}
self.mp_cache_dict = {}
self.klm_cache_dict = {}
self.jrxsp_cache_dict = {}
async def _fck_run(self):
# 休眠7.5分钟, 避免频繁发!(5分钟还是太快, 删不过来)(增加较多视频, 失败率较高故还是5分钟)
# sleep_time = 0.
sleep_time = 60 * 5.
self.db_article_id_list = await self.get_db_unique_id_list()
assert self.db_article_id_list != []
self.lg.info('db_article_id_list_len: {}'.format(
len(self.db_article_id_list)))
_timeout = await self.get_auto_publish_articles_timeout()
while True:
if get_shanghai_time().hour == 0:
# 夜晚休眠
await async_sleep(60 * 60 * 4.)
else:
pass
try:
try:
await async_wait_for(
self.auto_publish_articles(),
timeout=_timeout,
)
except AsyncTimeoutError:
raise PublishOneArticleFailException
except (
ArticleTitleOverLongException,
LoginFailException,
ArticleTitleContainSensitiveWordsException,
PublishOneArticleFailException,
EnterTargetPageFailException,
):
self.lg.error('遇到错误:', exc_info=True)
continue
except Exception:
self.lg.error('遇到错误:', exc_info=True)
self.lg.info('休眠{}s...'.format(sleep_time))
await async_sleep(sleep_time)
async def get_auto_publish_articles_timeout(self):
"""
获取自动发布文章的超时时长
:return:
"""
all_intercept_num = self.zq_intercept_num \
+ self.hk_intercept_num \
+ self.lfd_intercept_num \
+ self.gxg_intercept_num \
+ self.pp_intercept_num \
+ self.kr_intercept_num \
+ self.dfsp_intercept_num \
+ self.lsp_intercept_num \
+ self.mp_intercept_num \
+ self.klm_intercept_num \
+ self.jrxsp_intercept_num \
+ self.ky_intercept_num
_timeout = all_intercept_num * 2.5 * 60
return _timeout
async def get_db_unique_id_list(self) -> list:
"""
获取db的unique_id_list
:return:
"""
self.sql_cli = SqlServerMyPageInfoSaveItemPipeline()
if not self.sql_cli.is_connect_success:
raise SqlServerConnectionException
res = []
try:
res = self.sql_cli._select_table(
sql_str=self.select_sql0,
logger=self.lg,
)
except Exception:
self.lg.error('遇到错误:', exc_info=True)
res = [] if res is None else res
return [item[0] for item in res]
async def auto_publish_articles(self):
"""
自动发布文章
:return:
"""
self.sql_cli = get_new_sql_cli(sql_cli=self.sql_cli)
if not self.sql_cli.is_connect_success:
raise SqlServerConnectionException
else:
pass
if self.min_article_id == 0\
or self.max_article_id == 0:
self.article_parser = ArticleParser(logger=self.lg)
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type=self.article_type, ))
assert article_list != []
self.min_article_id, self.max_article_id = self.get_latest_max_and_min_artcile_id_from_article_list(
article_list=article_list, )
self.lg.info('最新的min_article_id: {}, max_article_id: {}'.format(
self.min_article_id,
self.max_article_id,
))
else:
pass
# todo shadow模式下老是登录失败, 建议关闭shadow, 不使用其 or lantern or 使用shadow其全局代理模式即可
# 创建目标集合
# zq_article_list = []
# hk_article_list = []
# lfd_article_list = []
# gxg_article_list = []
# pp_article_list = []
# kr_article_list = []
# dfsp_article_list = []
# lsp_article_list = []
# mp_article_list = []
# klm_article_list = []
# jrxsp_article_list = []
zq_article_list = self.get_zq_own_create_article_id_list(
min_article_id=self.min_article_id,
max_article_id=self.max_article_id,
)
hk_article_list = self.get_hk_article_id_list()
lfd_article_list = self.get_lfd_article_id_list()
gxg_article_list = self.get_gxg_article_id_list()
pp_article_list = self.get_pp_article_id_list()
kr_article_list = self.get_kr_article_id_list()
dfsp_article_list = self.get_dfsp_article_id_list()
lsp_article_list = self.get_lsp_article_id_list()
mp_article_list = self.get_mp_article_id_list()
klm_article_list = self.get_klm_article_id_list()
jrxsp_article_list = self.get_jrxsp_article_id_list()
ky_article_list = self.get_ky_own_create_article_id_list()
# 测试用
# article_id = '17300123'
# article_list = [{
# 'uid': get_uuid3(target_str='{}::{}'.format('zq', article_id)),
# 'article_type': 'zq',
# 'article_id': article_id,
# 'title': '未知',
# 'article_url': 'https://focus.youth.cn/mobile/detail/id/{}#'.format(article_id),
# }]
# 文章在前的发布顺序, 视频在后(避免视频发过多)
article_list = zq_article_list \
+ pp_article_list \
+ kr_article_list \
+ dfsp_article_list \
+ hk_article_list \
+ klm_article_list \
+ jrxsp_article_list \
+ mp_article_list \
+ lsp_article_list \
+ ky_article_list \
+ lfd_article_list \
+ gxg_article_list
assert article_list != []
# pprint(article_list)
target_article_list = self.get_target_article_list(
article_list=article_list)
if target_article_list == []:
self.lg.info('待发布的target_article_list为空list, pass!')
return
driver = None
try:
try:
# rasp上代理模式启动chromedriver具有一定的失败率, 故还是mac
driver = BaseDriver(
type=CHROME,
executable_path=CHROME_DRIVER_PATH,
# 本地老是出错
# type=FIREFOX,
# executable_path=FIREFOX_DRIVER_PATH,
load_images=True,
logger=self.lg,
headless=self.driver_headless,
driver_use_proxy=self.driver_use_proxy,
ip_pool_type=self.ip_pool_type,
)
self.login_bg(driver=driver)
self.get_into_recommend_good_manage(driver=driver)
except (FZTimeoutError, WebDriverException):
raise LoginFailException
for item in target_article_list:
uid = item.get('uid', '')
title = item.get('title', '')
article_url = item.get('article_url', '')
self.lg.info('正在发布文章 title: {}, article_url: {} ...'.format(
title, article_url))
try:
self.publish_one_article(
driver=driver,
article_url=article_url,
)
except FZTimeoutError:
raise PublishOneArticleFailException
# 新增, 以及插入db
self.db_article_id_list.append(uid)
self.sql_cli._insert_into_table_2(
sql_str=self.insert_sql0,
params=(
uid,
get_shanghai_time(),
),
logger=self.lg,
)
except (
ArticleTitleOverLongException,
LoginFailException,
ArticleTitleContainSensitiveWordsException,
PublishOneArticleFailException,
EnterTargetPageFailException,
) as e:
# 抛出异常
raise e
except Exception:
self.lg.error('遇到错误:', exc_info=True)
finally:
try:
# ** 注意: 不可直接del driver, 测试发现浏览器未被正确关闭, 还存在!!
# del driver
# 关闭浏览器
driver.driver.quit()
# 只关闭当前窗口, 不关闭浏览器
# driver.driver.close()
self.lg.info('driver 释放成功!')
except:
try:
driver.driver.quit()
except:
pass
collect()
return
def get_ky_own_create_article_id_list(self):
"""
获取ky article_list
:return:
"""
article_id_list = [
str(article_id) for article_id in range(self.ky_min_article_id,
self.ky_max_article_id)
]
# 截取
article_id_list = random_sample(article_id_list, self.ky_intercept_num)
res = [{
'uid':
get_uuid3(target_str='{}::{}'.format('ky', article_id)),
'article_type':
'ky',
'title':
'未知',
'article_id':
article_id,
'article_url':
'https://www.kaiyanapp.com/detail.html?vid={}'.format(article_id),
} for article_id in article_id_list]
return res
def get_jrxsp_article_id_list(self):
"""
获取目标article_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.jrxsp_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='jrxsp', ))
self.jrxsp_cache_dict['data'] = article_list
self.jrxsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.jrxsp_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 40 * 60:
# klm 每日更新数量有限, 每过40分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='jrxsp', ))
self.jrxsp_cache_dict['data'] = article_list
self.jrxsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.jrxsp_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list,
self.jrxsp_intercept_num)
return article_list
def get_klm_article_id_list(self):
"""
获取目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.klm_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='klm', ))
self.klm_cache_dict['data'] = article_list
self.klm_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.klm_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# klm 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='klm', ))
self.klm_cache_dict['data'] = article_list
self.klm_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.klm_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.klm_intercept_num)
return article_list
def get_mp_article_id_list(self):
"""
获取mp 目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.mp_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='mp', ))
self.mp_cache_dict['data'] = article_list
self.mp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.mp_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# mp 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='mp', ))
self.mp_cache_dict['data'] = article_list
self.mp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.mp_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.mp_intercept_num)
return article_list
def get_lsp_article_id_list(self):
"""
获取lsp 目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.lsp_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='lsp', ))
self.lsp_cache_dict['data'] = article_list
self.lsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.lsp_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# dfsp 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='lsp', ))
self.lsp_cache_dict['data'] = article_list
self.lsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.lsp_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.lsp_intercept_num)
return article_list
def get_dfsp_article_id_list(self):
"""
获取dfsp 目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.dfsp_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='dfsp', ))
self.dfsp_cache_dict['data'] = article_list
self.dfsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.dfsp_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# dfsp 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='dfsp', ))
self.dfsp_cache_dict['data'] = article_list
self.dfsp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.dfsp_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.dfsp_intercept_num)
return article_list
def get_kr_article_id_list(self):
"""
获取kr 目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.kr_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='kr', ))
self.kr_cache_dict['data'] = article_list
self.kr_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.kr_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# pp 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='kr', ))
self.kr_cache_dict['data'] = article_list
self.kr_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.kr_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.kr_intercept_num)
return article_list
def get_pp_article_id_list(self):
"""
获取pp目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.pp_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='pp', ))
self.pp_cache_dict['data'] = article_list
self.pp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.pp_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# pp 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='pp', ))
self.pp_cache_dict['data'] = article_list
self.pp_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.pp_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.pp_intercept_num)
return article_list
def get_gxg_article_id_list(self):
"""
获取gxg目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.gxg_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='gxg', ))
self.gxg_cache_dict['data'] = article_list
self.gxg_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.gxg_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# gxg 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='gxg', ))
self.gxg_cache_dict['data'] = article_list
self.gxg_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.gxg_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.gxg_intercept_num)
return article_list
def get_lfd_article_id_list(self):
"""
获取lfd目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.lfd_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='lfd', ))
self.lfd_cache_dict['data'] = article_list
self.lfd_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.lfd_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 30 * 60:
# lfd 每日更新数量有限, 每过30分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='lfd', ))
self.lfd_cache_dict['data'] = article_list
self.lfd_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.lfd_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.lfd_intercept_num)
return article_list
def get_hk_article_id_list(self):
"""
获取hk 目标article_id_list
:return:
"""
if not isinstance(self.article_parser, ArticleParser):
self.article_parser = ArticleParser(logger=self.lg)
else:
pass
if self.hk_cache_dict == {}:
# 首次启动
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='hk', ))
self.hk_cache_dict['data'] = article_list
self.hk_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
cache_time = self.hk_cache_dict['cache_time']
if datetime_to_timestamp(
get_shanghai_time()) - cache_time > 12 * 60:
# 每过12分钟重新获取一次
article_list = self.loop.run_until_complete(
self.article_parser.get_article_list_by_article_type(
article_type='hk', ))
self.hk_cache_dict['data'] = article_list
self.hk_cache_dict['cache_time'] = datetime_to_timestamp(
get_shanghai_time())
else:
article_list = self.hk_cache_dict['data']
if article_list != []:
# 截取1个(与图文穿插)
article_list = random_sample(article_list, self.hk_intercept_num)
return article_list
def get_latest_max_and_min_artcile_id_from_article_list(
self, article_list) -> tuple:
"""
获取最新范围的article_id最大, 最小的article_id(目的动态的自己创建值)
:return: (int, int)
"""
latest_article_id_list = []
for item in article_list:
# eg: zq是'17296475'
article_id = item.get('article_id', '')
if len(article_id) >= 8:
latest_article_id_list.append(int(article_id))
else:
continue
assert latest_article_id_list != []
latest_article_id_list = sorted(latest_article_id_list)
# pprint(latest_article_id_list)
return (latest_article_id_list[0], latest_article_id_list[-1])
def get_zq_own_create_article_id_list(self, min_article_id: int,
max_article_id: int):
"""
自己create的article_id_list
:return:
"""
# 取中间值, 避免老是在发老新闻
middle_article_id = int((min_article_id + max_article_id) / 2)
self.lg.info('middle_article_id: {}'.format(middle_article_id))
article_id_list = [
str(article_id)
for article_id in range(middle_article_id, max_article_id)
]
# 截取3
article_id_list = random_sample(article_id_list, self.zq_intercept_num)
res = [{
'uid':
get_uuid3(target_str='{}::{}'.format('zq', article_id)),
'article_type':
'zq',
'title':
'未知',
'article_id':
article_id,
'article_url':
'https://focus.youth.cn/mobile/detail/id/{}#'.format(article_id),
} for article_id in article_id_list]
new_res = res
# 本地不检测了
# article_parser = ArticleParser(logger=self.lg)
# # article_list = self.loop.run_until_complete(article_parser.get_article_list_by_article_type(
# # article_type=self.article_type,))
# new_res = []
# for item in res:
# article_url = item.get('article_url', '')
# try:
# self.lg.info('本地检测url: {}'.format(article_url))
# _ = self.loop.run_until_complete(article_parser._parse_article(
# article_url=article_url,))
# title = _.get('title', '')
# assert title != ''
# # 标题必须小于等于30
# assert len(title) <= 30
# except Exception:
# continue
#
# item.update({
# 'title': title,
# })
# new_res.append(item)
return new_res
def get_target_article_list(self, article_list: list) -> list:
"""
获取未被发布的item
:return:
"""
target_article_list = []
for item in article_list:
try:
title = item.get('title', '')
assert title != ''
uid = item.get('uid', '')
assert uid != ''
article_url = item.get('article_url', '')
assert article_url != ''
if uid not in self.db_article_id_list:
target_article_list.append(item)
else:
# 已发布的跳过
self.lg.info('该文章之前已被发布![where title: {}, url: {}]'.format(
title, article_url))
continue
except Exception:
self.lg.error('遇到错误:', exc_info=True)
continue
return target_article_list
@fz_set_timeout(seconds=1.5 * 60)
def login_bg(self, driver: BaseDriver):
"""
login
:return:
"""
self.lg.info('login ...')
body = driver.get_url_body(
url=self.publish_url,
timeout=30,
)
try:
assert body != ''
driver.find_element(value='input#loginName').send_keys(
self.yx_username)
driver.find_element(value='input#loginPwd').send_keys(
self.yx_password)
driver.find_element(value='button#subbut').click()
except (
NoSuchElementException,
SeleniumTimeoutException,
AssertionError,
WebDriverException,
AttributeError,
):
# 抛出登录异常
raise LoginFailException
try:
self.wait_for_recommend_good_label_appear(driver=driver)
except FZTimeoutError:
# 进入目标页失败, 则抛出异常!
raise EnterTargetPageFailException
@fz_set_timeout(seconds=10.)
def wait_for_recommend_good_label_appear(self, driver: BaseDriver):
"""
直到出现荐好管理label
:param driver:
:return:
"""
while True:
recommend_good_label_text = driver.find_element(
value=self.recommend_good_label_css_selector).text
# self.lg.info('recommend_good_label_text: {}'.format(recommend_good_label_text))
if recommend_good_label_text == '荐好管理':
break
else:
continue
self.lg.info('login success!')
@fz_set_timeout(seconds=60.)
def get_into_recommend_good_manage(self, driver: BaseDriver):
"""
进入荐好管理
:param driver:
:return:
"""
try:
driver.find_element(
value=self.recommend_good_label_css_selector).click()
# 等待下方标签出现
sleep(.5)
driver.find_element(value='a.J_menuItem').click()
except SeleniumTimeoutException:
# 进入目标页失败, 则抛出异常!
raise EnterTargetPageFailException
@fz_set_timeout(seconds=2.5 * 60)
def publish_one_article(self, driver: BaseDriver, article_url: str):
"""
发布一篇图文
:param driver:
:param article_url:
:return:
"""
try:
# 切换到目标iframe(用index有时候不准, pass)
# driver.switch_to_frame(frame_reference=1)
iframe_ele_list = driver.find_elements(by=By.TAG_NAME,
value='iframe')
# pprint(iframe_ele_list)
assert iframe_ele_list != []
target_iframe_ele = iframe_ele_list[1] if len(
iframe_ele_list) > 1 else iframe_ele_list[0]
driver.switch_to_frame(frame_reference=target_iframe_ele)
except (NoSuchFrameException, ) as e:
# 没匹配到frame(可能是原先就在目标iframe, eg: title过长的, 再切回iframe, 但是iframe_ele_list为0)
raise e
try:
# 清空输入框
input_box_ele = driver.find_element(value='input#SnatchUrl')
input_box_ele.clear()
# 输入待采集地址
input_box_ele.send_keys(article_url)
# 点击采集按钮
driver.find_elements(
value='span.input-group-btn button')[0].click()
self.wait_for_delete_img_appear(driver=driver)
except (FZTimeoutError, NoSuchElementException, WebDriverException):
# 发布某文章超时失败or无元素存在, 则抛出发布异常
raise PublishOneArticleFailException
# 获取输入框的值
title = driver.find_element(
value='input#RecommendName').get_attribute('value')
self.lg.info('title: {}'.format(title))
if target_str_contain_some_char_check(
target_str=title,
check_char_obj=ARTICLE_TITLE_SENSITIVE_STR_TUPLE):
raise ArticleTitleContainSensitiveWordsException
else:
pass
if isinstance(title, str) and len(title) > 30:
# 标题过长则return, 不发布
self.lg.info('@@@ title 标题过长, 无法发布!! 跳过!')
# 由于标题过长后, 无法处理后续文章, 故不return, 直接抛出异常
# return
raise ArticleTitleOverLongException
else:
pass
try:
# 点击发布按钮
driver.find_elements(
value='span.input-group-btn button')[1].click()
except WebDriverException:
# 处理发布单篇异常!
# 处理报错: Message: unknown error: Element <iframe class="J_iframe" name="iframe0"
raise PublishOneArticleFailException
# 切换至主页面
driver.switch_to_default_content()
# 填写被发布人
random_phone = self.get_random_phone()
driver.find_element(
value='input.layui-layer-input').send_keys(random_phone)
# 点击确定
driver.find_element(value='a.layui-layer-btn0').click()
self.lg.info('url: {} 发布成功!'.format(article_url))
# 发布成功, 等待8.5秒, 等待页面元素置空
sleep(8.5)
return
@fz_set_timeout(seconds=70.)
def wait_for_delete_img_appear(self, driver: BaseDriver):
"""
直至出现图片, 超时退出(并且避免发布无图文章)
:return:
"""
while True:
# 改用 不宜用下面方式 长期跑电脑卡死
try:
delete_btn_text = driver.find_element(
value='div.deletebut').text
except NoSuchElementException:
# 处理这个异常, 并继续等待
sleep(.3)
continue
# 原先 但是老是发布失败!!
# delete_btn_text = driver.find_element(value='div.deletebut').text
# self.lg.info('delete_btn_text: {}'.format(delete_btn_text))
if delete_btn_text == '删除':
break
else:
continue
self.lg.info('该url采集完毕!')
def get_random_phone(self) -> int:
"""
随机个手机号
:return:
"""
phone_list = []
with open('../tools/phone.txt', 'r') as f:
for line in f:
try:
phone_list.append(int(line.replace('\n', '')))
except Exception:
continue
# pprint(phone_list)
random_phone = phone_list[randint(0, len(phone_list) - 1)]
self.lg.info('random_phone: {}'.format(random_phone))
return random_phone
def __del__(self):
try:
del self.lg
del self.loop
del self.db_article_id_list
del self.publish_url
del self.article_parser
del self.hk_cache_dict
except:
pass
collect()
def run_forever():
#### 实时更新数据
while True:
# tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
tmp_sql_server = SqlPools() # 使用sqlalchemy管理数据库连接池
tmp_sql_server_2 = SqlServerMyPageInfoSaveItemPipeline()
sql_str = 'select GoodsID, IsDelete, MyShelfAndDownTime from dbo.GoodsInfoAutoGet where SiteID=1'
sql_str_2 = 'select GoodsOutUrl, goods_id from db_k85u.dbo.goodsinfo where OutGoodsType<=13 and onoffshelf=1 and not exists (select maingoodsid from gather.dbo.GoodsInfoAutoGet c where c.maingoodsid=goodsinfo.goods_id)'
try:
# result = list(tmp_sql_server.select_taobao_all_goods_id())
result = tmp_sql_server._select_table(sql_str=sql_str, params=None)
result_2 = list(
tmp_sql_server_2._select_table(sql_str=sql_str_2, params=None))
# print(result_2)
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result_2)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
new_table_ali_1688_all_goods_id_list = [item[0] for item in result]
for item in result_2: # 实时更新数据
data = {}
taobao = TaoBaoLoginAndParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server_2 = SqlServerMyPageInfoSaveItemPipeline()
tmp_sql_server = SqlPools()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
goods_id = taobao.get_goods_id_from_url(item[0])
if goods_id == '':
print('@@@ 原商品的地址为: ', item[0])
continue
else:
if goods_id in new_table_ali_1688_all_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过!')
continue
else:
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (goods_id, index))
tt = taobao.get_goods_data(goods_id)
if tt.get('is_delete') == 1: # 处理已下架的但是还是要插入的
tt['goods_id'] = goods_id
tt['goods_url'] = 'https://item.taobao.com/item.htm?id=' + str(
goods_id)
tt['username'] = '******'
tt['main_goods_id'] = item[1]
# print('------>>>| 爬取到的数据为: ', data)
taobao.old_taobao_goods_insert_into_new_table(
data=tt, pipeline=tmp_sql_server_2)
index += 1
gc.collect()
sleep(TAOBAO_REAL_TIMES_SLEEP_TIME)
continue
else:
pass
data = taobao.deal_with_data(goods_id=goods_id)
if data != {}:
data['goods_id'] = goods_id
data[
'goods_url'] = 'https://item.taobao.com/item.htm?id=' + str(
goods_id)
data['username'] = '******'
data['main_goods_id'] = item[1]
# print('------>>>| 爬取到的数据为: ', data)
taobao.old_taobao_goods_insert_into_new_table(
data, pipeline=tmp_sql_server_2)
else:
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del taobao
# except:
# pass
gc.collect()
# 国外服务器上可以缩短时间, 可以设置为0s
sleep(TAOBAO_REAL_TIMES_SLEEP_TIME) # 不能太频繁，与用户请求错开尽量
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
gc.collect()
# coding:utf-8 ''' @author = super_fazai @File : test_sql_str.py @Time : 2018/6/14 07:41 @connect : [email protected] ''' import sys sys.path.append('..') from pprint import pprint from json import dumps from my_pipeline import SqlServerMyPageInfoSaveItemPipeline _ = SqlServerMyPageInfoSaveItemPipeline() sql_str = 'select gather_url, MainID from dbo.daren_recommend where site_id=2 and MainID is not null' params = None result = _._select_table(sql_str=sql_str, params=params) pprint(result) # 更新 # sql_str_2 = 'UPDATE dbo.daren_recommend set share_img_url_list=NULL, goods_id_list=NULL, share_goods_base_info=%s where MainID=579;' # result = _._update_table(sql_str=sql_str_2, params=params) # print(result)
class Z8Updater(AsyncCrawler):
def __init__(self, *params, **kwargs):
AsyncCrawler.__init__(
self,
*params,
**kwargs,
log_print=True,
log_save_path=MY_SPIDER_LOGS_PATH + '/折800/秒杀实时更新/',
ip_pool_type=IP_POOL_TYPE,
)
self.tmp_sql_server = None
self.goods_index = 1
self.concurrency = 8 # 并发量
self.delete_sql_str = z8_delete_str_3
async def _get_db_old_data(self):
self.tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
result = None
try:
self.tmp_sql_server._delete_table(sql_str=z8_delete_str_4,
params=None)
await async_sleep(5)
result = list(
self.tmp_sql_server._select_table(sql_str=z8_select_str_4))
except TypeError:
self.lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
await _print_db_old_data(logger=self.lg, result=result)
return result
async def _get_miaosha_begin_time(self, miaosha_time) -> int:
miaosha_begin_time = json_2_dict(miaosha_time).get(
'miaosha_begin_time')
miaosha_begin_time = int(
str(
time.mktime(
time.strptime(miaosha_begin_time,
'%Y-%m-%d %H:%M:%S')))[0:10])
return miaosha_begin_time
async def _get_new_z8_obj(self, index):
if index % 10 == 0: # 不能共享一个对象了, 否则驱动访问会异常!
try:
del self.zhe_800_spike
except:
pass
collect()
self.zhe_800_spike = Zhe800Spike()
async def _update_is_delete(self, goods_id) -> bool:
'''
下架商品逻辑删除
:param goods_id:
:return:
'''
delete_str = 'update dbo.zhe_800_xianshimiaosha set is_delete=1 where goods_id=%s'
res = self.tmp_sql_server._update_table(sql_str=delete_str,
params=(goods_id, ))
await async_sleep(.3)
return res
async def _update_one_goods_info(self, item, index) -> tuple:
'''
更新单个
:param item:
:param index:
:return:
'''
res = False
goods_id = item[0]
miaosha_time = item[1]
session_id = item[2]
miaosha_begin_time = await self._get_miaosha_begin_time(miaosha_time)
# self.lg.info(str(miaosha_begin_time))
await self._get_new_z8_obj(index=index)
self.tmp_sql_server = await _get_new_db_conn(
db_obj=self.tmp_sql_server,
index=index,
logger=self.lg,
remainder=30)
if self.tmp_sql_server.is_connect_success:
is_recent_time = await self._is_recent_time(miaosha_begin_time)
if is_recent_time == 0:
res = await self._update_is_delete(goods_id=goods_id)
self.lg.info(
'过期的goods_id为({0}), 限时秒杀开始时间为({1}), 逻辑删除成功!'.format(
goods_id,
json.loads(item[1]).get('miaosha_begin_time')))
index += 1
self.goods_index = index
res = True
await async_sleep(.3)
return goods_id, res
elif is_recent_time == 2:
# 可能包括过期的
self.lg.info('未来时间暂时不更新! {}'.format(
timestamp_to_regulartime(miaosha_begin_time)))
index += 1
self.goods_index = index
return goods_id, res
else: # 返回1，表示在待更新区间内
self.lg.info(
'------>>>| 正在更新的goods_id为({0}) | --------->>>@ 索引值为({1})'.
format(goods_id, index))
try:
tmp_data = self.zhe_800_spike._get_one_session_id_data(
base_session_id=str(session_id))
except Exception:
self.lg.error(msg='遇到错误:', exc_info=True)
index += 1
self.goods_index = index
return goods_id, res
try:
tmp_data = tmp_data.get('data', {}).get('blocks', [])
assert tmp_data != [], '该session_id不存在，此处跳过'
except AssertionError: # 说明这个sessionid没有数据, 就删除对应这个sessionid的限时秒杀商品
self.lg.error(msg='遇到错误:', exc_info=True)
res = await self._update_is_delete(goods_id)
self.lg.info(
msg=
'该sessionid没有相关key为jsons的数据! 过期的goods_id为({0}), 限时秒杀开始时间为({1}), 删除成功!'
.format(goods_id, miaosha_begin_time))
index += 1
self.goods_index = index
await async_sleep(1.2)
return goods_id, res
tmp_data = [item_s.get('deal', {}) for item_s in tmp_data]
# pprint(tmp_data)
try:
miaosha_goods_list = await self._get_miaoshao_goods_info_list(
data=tmp_data)
# pprint(miaosha_goods_list)
except ValueError:
await async_sleep(2)
index += 1
self.goods_index = index
return goods_id, res
# 该session_id中现有的所有zid的list
miaosha_goods_all_goods_id = [
i.get('zid') for i in miaosha_goods_list
]
if goods_id not in miaosha_goods_all_goods_id: # 内部已经下架的
res = await self._update_is_delete(goods_id)
self.lg.info(
'该商品已被官方下架限秒活动! 下架的goods_id为({0}), 逻辑删除成功!'.format(
goods_id))
index += 1
self.goods_index = index
return goods_id, res
else: # 未下架的
res = await self._one_update(
miaosha_goods_list=miaosha_goods_list,
goods_id=goods_id)
else: # 表示返回的data值为空值
self.lg.error('数据库连接失败，数据库可能关闭或者维护中')
index += 1
self.goods_index = index
collect()
await async_sleep(1.5)
return goods_id, res
async def _one_update(self, **kwargs) -> bool:
'''
未下架的更新
:return:
'''
miaosha_goods_list = kwargs.get('miaosha_goods_list')
goods_id = kwargs.get('goods_id')
zhe_800_miaosha = Zhe800Parse()
res = False
for item_1 in miaosha_goods_list:
if item_1.get('zid', '') == goods_id:
zhe_800_miaosha.get_goods_data(goods_id=goods_id)
goods_data = zhe_800_miaosha.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
break
else: # 否则就解析并且插入
goods_data['stock_info'] = item_1.get('stock_info')
goods_data['goods_id'] = str(item_1.get('zid'))
if item_1.get('stock_info').get('activity_stock') > 0:
# self.lg.info(item_1.get('price'))
# self.lg.info(item_1.get('taobao_price'))
goods_data['price'] = item_1.get('price')
goods_data['taobao_price'] = item_1.get('taobao_price')
else:
self.lg.info('该商品参与活动的对应库存为0')
await self._update_is_delete(goods_id=goods_id)
break
goods_data['sub_title'] = item_1.get('sub_title')
goods_data['miaosha_time'] = item_1.get('miaosha_time')
goods_data['miaosha_begin_time'], goods_data[
'miaosha_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=item_1.get('miaosha_time'))
if goods_data.get('is_delete', 0) == 1:
self.lg.info('该商品[{0}]已售罄...'.format(goods_id))
# self.lg.info(str(goods_data['stock_info']))
# self.lg.info(str(goods_data['miaosha_time']))
res = zhe_800_miaosha.to_update_zhe_800_xianshimiaosha_table(
data=goods_data, pipeline=self.tmp_sql_server)
break
else:
pass
collect()
return res
async def _is_recent_time(self, timestamp) -> int:
'''
判断是否在指定的日期差内
:param timestamp: 时间戳
:return: 0: 已过期恢复原价的 1: 待更新区间内的 2: 未来时间的
'''
time_1 = int(timestamp)
time_2 = datetime_to_timestamp(get_shanghai_time()) # 当前的时间戳
diff_time = time_1 - time_2
if diff_time < -259200: # (为了后台能同步下架)所以设置为 72个小时, 只需要更新过去48小时和对与当前时间的未来2小时的商品信息
# if diff_time < -172800: # (原先的时间)48个小时, 只需要跟新过去48小时和对与当前时间的未来2小时的商品信息
return 0 # 已过期恢复原价的
elif diff_time > -172800 and diff_time < 7200:
return 1 # 表示是昨天跟今天的也就是待更新的
else:
return 2 # 未来时间的暂时不用更新
async def _update_db(self):
'''
秒杀数据实时更新
:return:
'''
while True:
self.lg = await self._get_new_logger(logger_name=get_uuid1())
result = await self._get_db_old_data()
if result is None:
pass
else:
self.goods_index = 1
tasks_params_list = TasksParamsListObj(
tasks_params_list=result, step=self.concurrency)
self.zhe_800_spike = Zhe800Spike()
index = 1
while True:
try:
slice_params_list = tasks_params_list.__next__()
# self.lg.info(str(slice_params_list))
except AssertionError: # 全部提取完毕, 正常退出
break
tasks = []
for item in slice_params_list:
self.lg.info('创建 task goods_id: {}'.format(item[0]))
tasks.append(
self.loop.create_task(
self._update_one_goods_info(item=item,
index=index)))
index += 1
await _get_async_task_result(tasks=tasks, logger=self.lg)
self.lg.info('全部数据更新完毕'.center(100, '#'))
if get_shanghai_time().hour == 0: # 0点以后不更新
await async_sleep(60 * 60 * 5.5)
else:
await async_sleep(2.5 * 60)
try:
del self.zhe_800_spike
except:
pass
collect()
async def _get_miaoshao_goods_info_list(self, data) -> list:
'''
得到秒杀商品有用信息
:param data: 待解析的data
:return: 有用信息list
'''
miaosha_goods_list = []
# pprint(data)
for item in data:
if item == {}:
continue
# pprint(item)
tmp = {}
tmp['miaosha_time'] = {
'miaosha_begin_time':
timestamp_to_regulartime(int(
str(item.get('begin_time'))[0:10])),
'miaosha_end_time':
timestamp_to_regulartime(int(str(item.get('end_time'))[0:10])),
}
# 折800商品地址
tmp['zid'] = item.get('zid')
# 限时秒杀的库存信息
tmp['stock_info'] = {
'activity_stock': item.get('activity_stock',
0), # activity_stock为限时抢的剩余数量
'stock': item.get('stock', 0), # stock为限时秒杀的总库存
}
# 原始价格
tmp['price'] = float(item.get('list_price'))
# 秒杀的价格, float类型
tmp['taobao_price'] = float(item.get('price'))
tmp['sub_title'] = item.get('description', '')
miaosha_goods_list.append(tmp)
# pprint(miaosha_goods_list)
return miaosha_goods_list
def __del__(self):
try:
del self.lg
except:
pass
try:
del self.loop
except:
pass
try:
del self.zhe_800_spike
except:
pass
collect()
def run_forever(self):
'''
实时更新数据
:return:
'''
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
sql_str = r'select goods_id, miaosha_time, fcid, page from dbo.mogujie_pintuan where site_id=23'
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
self.my_phantomjs = MyPhantomjs()
for item in result: # 实时更新数据
pintuan_end_time = json.loads(item[1]).get('end_time')
pintuan_end_time = int(
str(
time.mktime(
time.strptime(pintuan_end_time,
'%Y-%m-%d %H:%M:%S')))[0:10])
# print(miaosha_end_time)
data = {}
mogujie_pintuan = MoGuJieParse()
if index % 8 == 0:
try:
del self.my_phantomjs
except:
pass
gc.collect()
self.my_phantomjs = MyPhantomjs()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
if self.is_recent_time(pintuan_end_time) == 0:
tmp_sql_server._delete_table(
sql_str=self.delete_sql_str, params=(item[0]))
print(
'过期的goods_id为(%s)' % item[0],
', 拼团开始时间为(%s), 删除成功!' %
json.loads(item[1]).get('begin_time'))
elif self.is_recent_time(pintuan_end_time) == 2:
# break # 跳出循环
pass # 此处应该是pass,而不是break，因为数据库传回的goods_id不都是按照顺序的
else: # 返回1，表示在待更新区间内
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (item[0], index))
data['goods_id'] = item[0]
tmp_url = 'http://list.mogujie.com/search?page={0}&fcid={1}&algoKey=pc_tuan_book_pop&cKey=pc-tuan'.format(
item[3], item[2])
# print(tmp_url)
# requests请求不到数据，涉及证书认证，直接用phantomjs
# body = MyRequests.get_url_body(url=tmp_url, headers=self.headers, had_referer=True)
body = self.my_phantomjs.use_phantomjs_to_get_url_body(
url=tmp_url)
# print(body)
if body == '':
print('获取到的body为空值! 此处跳过')
else:
try:
body = re.compile(
r'<pre.*?>(.*?)</pre>').findall(body)[0]
tmp_data = json.loads(body)
# pprint(tmp_data)
except:
print('json.loads转换body时出错, 请检查')
tmp_data = {}
if tmp_data.get('result',
{}).get('wall',
{}).get('docs', []) == []:
print('得到的docs为[]!')
print('该商品已被下架限时秒杀活动，此处将其删除')
tmp_sql_server._delete_table(
sql_str=self.delete_sql_str,
params=(item[0]))
print('下架的goods_id为(%s)' % item[0], ', 删除成功!')
pass
else:
tmp_item_list = tmp_data.get('result', {}).get(
'wall', {}).get('docs', [])
# print(tmp_item_list)
# pprint(tmp_item_list)
begin_time_timestamp = int(
time.time()) # 开始拼团的时间戳
item_list = [{
'goods_id':
item.get('tradeItemId', ''),
'pintuan_time': {
'begin_time':
timestamp_to_regulartime(
timestamp=begin_time_timestamp),
'end_time':
timestamp_to_regulartime(
self.get_pintuan_end_time(
begin_time_timestamp,
item.get('leftTimeOrg', ''))),
},
'all_sell_count':
str(item.get('salesVolume', 0)),
} for item in tmp_item_list]
# print(item_list)
pintuan_goods_all_goods_id = [
item_1.get('goods_id', '')
for item_1 in item_list
]
# print(pintuan_goods_all_goods_id)
'''
内部已经下架的(内部下架的其实并未真实下架，还在卖的，所以我就更新其商品信息数据，不更新上下架时间)
'''
if item[0] not in pintuan_goods_all_goods_id:
# print('该商品已被下架限时秒杀活动，此处将其删除')
# tmp_sql_server._delete_table(sql_str=self.delete_sql_str, params=(item[0]))
# print('下架的goods_id为(%s)' % item[0], ', 删除成功!')
# pass
mogujie_pintuan.get_goods_data(
goods_id=item[0])
goods_data = mogujie_pintuan.deal_with_data(
)
if goods_data == {}:
pass
else:
# 规范化
print('+++ 内部下架，其实还在售卖的商品更新')
tmp_price_info_list = goods_data[
'price_info_list']
price_info_list = [{
'spec_value':
item_4.get('spec_value'),
'pintuan_price':
item_4.get('detail_price'),
'detail_price':
'',
'normal_price':
item_4.get('normal_price'),
'img_url':
item_4.get('img_url'),
'rest_number':
item_4.get('rest_number'),
} for item_4 in tmp_price_info_list]
goods_data['goods_id'] = item[0]
goods_data[
'price_info_list'] = price_info_list
# pprint(goods_data)
# print(goods_data)
mogujie_pintuan.update_mogujie_pintuan_table_2(
data=goods_data,
pipeline=tmp_sql_server)
sleep(MOGUJIE_SLEEP_TIME) # 放慢速度
else: # 未下架的
for item_2 in item_list:
if item_2.get('goods_id',
'') == item[0]:
mogujie_pintuan.get_goods_data(
goods_id=item[0])
goods_data = mogujie_pintuan.deal_with_data(
)
if goods_data == {}: pass
else:
# 规范化
tmp_price_info_list = goods_data[
'price_info_list']
price_info_list = [
{
'spec_value':
item_4.get(
'spec_value'),
'pintuan_price':
item_4.get(
'detail_price'),
'detail_price':
'',
'normal_price':
item_4.get(
'normal_price'),
'img_url':
item_4.get('img_url'),
'rest_number':
item_4.get(
'rest_number'),
} for item_4 in
tmp_price_info_list
]
goods_data['goods_id'] = item[
0]
goods_data[
'price_info_list'] = price_info_list
goods_data[
'pintuan_time'] = item_2.get(
'pintuan_time', {})
goods_data['pintuan_begin_time'], goods_data[
'pintuan_end_time'] = self.get_pintuan_begin_time_and_pintuan_end_time(
pintuan_time=goods_data[
'pintuan_time'])
goods_data[
'all_sell_count'] = item_2.get(
'all_sell_count', '')
# pprint(goods_data)
# print(goods_data)
mogujie_pintuan.update_mogujie_pintuan_table(
data=goods_data,
pipeline=tmp_sql_server)
sleep(
MOGUJIE_SLEEP_TIME) # 放慢速度
else:
pass
else:
print('数据库连接失败，此处跳过!')
pass
index += 1
gc.collect()
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
gc.collect()
def get_spike_hour_goods_info(self):
'''
模拟构造得到data的url，得到近期所有的限时秒杀商品信息
:return:
'''
all_miaosha_goods_list = self.get_all_miaosha_goods_list()
try:
self.driver.quit()
except:
pass
gc.collect()
pinduoduo = PinduoduoParse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
if my_pipeline._select_table(sql_str=pd_select_str_3) is None:
db_goods_id_list = []
else:
db_goods_id_list = [item[0] for item in list(my_pipeline._select_table(sql_str=pd_select_str_3))]
for item in all_miaosha_goods_list:
'''
注意: 明日8点半抓取到的是页面加载中返回的是空值
'''
if item.get('goods_id') != 'None': # 跳过goods_id为'None'
if item.get('goods_id', '') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
tmp_url = 'http://mobile.yangkeduo.com/goods.html?goods_id=' + item.get('goods_id')
pinduoduo.get_goods_data(goods_id=item.get('goods_id'))
goods_data = pinduoduo.deal_with_data()
# print(goods_data)
if goods_data == {}: # 返回的data为空则跳过
print('得到的goods_data为空值，此处先跳过，下次遍历再进行处理')
# sleep(3)
pass
else: # 否则就解析并插入
goods_data['stock_info'] = item.get('stock_info')
goods_data['goods_id'] = item.get('goods_id')
goods_data['spider_url'] = tmp_url
goods_data['username'] = '******'
goods_data['price'] = item.get('price') # 秒杀前的原特价
goods_data['taobao_price'] = item.get('taobao_price') # 秒杀价
goods_data['sub_title'] = item.get('sub_title', '')
goods_data['miaosha_time'] = item.get('miaosha_time')
goods_data['miaosha_begin_time'], goods_data['miaosha_end_time'] = self.get_miaosha_begin_time_and_miaosha_end_time(miaosha_time=item.get('miaosha_time'))
if item.get('stock_info').get('activity_stock') <= 2:
# 实时秒杀库存小于等于2时就标记为 已售罄
print('该秒杀商品已售罄...')
goods_data['is_delete'] = 1
pinduoduo.insert_into_pinduoduo_xianshimiaosha_table(data=goods_data, pipeline=my_pipeline)
sleep(PINDUODUO_SLEEP_TIME)
else:
print('该goods_id为"None", 此处跳过')
pass
sleep(5)
else:
pass
try:
del pinduoduo
except:
pass
gc.collect()
def run_forever(self):
'''
实时更新数据
:return:
'''
sql_cli = SqlServerMyPageInfoSaveItemPipeline()
try:
sql_cli._delete_table(sql_str=mg_delete_str_2)
result = list(sql_cli._select_table(sql_str=mg_select_str_2))
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
_block_print_db_old_data(result=result)
index = 1
self.my_phantomjs = BaseDriver(
executable_path=PHANTOMJS_DRIVER_PATH,
ip_pool_type=self.ip_pool_type)
for item in result: # 实时更新数据
goods_id = item[0]
pintuan_end_time = json.loads(item[1]).get('end_time')
pintuan_end_time = int(
str(
time.mktime(
time.strptime(pintuan_end_time,
'%Y-%m-%d %H:%M:%S')))[0:10])
# print(miaosha_end_time)
data = {}
mogujie_pintuan = MoGuJieParse()
if index % 8 == 0:
try:
del self.my_phantomjs
except:
pass
gc.collect()
self.my_phantomjs = BaseDriver(
executable_path=PHANTOMJS_DRIVER_PATH,
ip_pool_type=self.ip_pool_type)
sql_cli = _block_get_new_db_conn(db_obj=sql_cli,
index=index,
remainder=50)
if sql_cli.is_connect_success:
if self.is_recent_time(pintuan_end_time) == 0:
_handle_goods_shelves_in_auto_goods_table(
goods_id=goods_id,
update_sql_str=mg_update_str_5,
sql_cli=sql_cli,
)
print(
'过期的goods_id为(%s)' % goods_id,
', 拼团开始时间为(%s), 逻辑删除成功!' %
json.loads(item[1]).get('begin_time'))
sleep(.3)
elif self.is_recent_time(pintuan_end_time) == 2:
# break # 跳出循环
pass # 此处应该是pass,而不是break，因为数据库传回的goods_id不都是按照顺序的
else: # 返回1，表示在待更新区间内
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (goods_id, index))
data['goods_id'] = goods_id
tmp_url = 'http://list.mogujie.com/search?page={0}&fcid={1}&algoKey=pc_tuan_book_pop&cKey=pc-tuan'.format(
item[3], item[2])
# print(tmp_url)
# requests请求不到数据，涉及证书认证，直接用phantomjs
# body = MyRequests.get_url_body(url=tmp_url, headers=self.headers, had_referer=True)
body = self.my_phantomjs.get_url_body(url=tmp_url)
# print(body)
if body == '':
print('获取到的body为空值! 此处跳过')
else:
try:
body = re.compile(
r'<pre.*?>(.*?)</pre>').findall(body)[0]
tmp_data = json.loads(body)
# pprint(tmp_data)
except:
print('json.loads转换body时出错, 请检查')
tmp_data = {}
if tmp_data.get('result',
{}).get('wall',
{}).get('docs', []) == []:
print('得到的docs为[]!')
_handle_goods_shelves_in_auto_goods_table(
goods_id=goods_id,
update_sql_str=mg_update_str_5,
sql_cli=sql_cli,
)
sleep(.3)
else:
tmp_item_list = tmp_data.get('result', {}).get(
'wall', {}).get('docs', [])
# pprint(tmp_item_list)
begin_time_timestamp = int(
time.time()) # 开始拼团的时间戳
item_list = [{
'goods_id':
item.get('tradeItemId', ''),
'pintuan_time': {
'begin_time':
timestamp_to_regulartime(
timestamp=begin_time_timestamp),
'end_time':
timestamp_to_regulartime(
self.get_pintuan_end_time(
begin_time_timestamp,
item.get('leftTimeOrg', ''))),
},
'all_sell_count':
str(item.get('salesVolume', 0)),
} for item in tmp_item_list]
# pprint(item_list)
pintuan_goods_all_goods_id = [
item_1.get('goods_id', '')
for item_1 in item_list
]
# print(pintuan_goods_all_goods_id)
'''
内部已经下架的(内部下架的其实并未真实下架，还在卖的，所以我就更新其商品信息数据，不更新上下架时间)
'''
if goods_id not in pintuan_goods_all_goods_id:
mogujie_pintuan.get_goods_data(
goods_id=goods_id)
goods_data = mogujie_pintuan.deal_with_data(
)
if goods_data == {}:
pass
else:
# 规范化
print('+++ 内部下架，其实还在售卖的商品更新')
goods_data['goods_id'] = goods_id
goods_data[
'price_info_list'] = _get_mogujie_pintuan_price_info_list(
goods_data['price_info_list'])
# pprint(goods_data)
mogujie_pintuan.update_mogujie_pintuan_table_2(
data=goods_data, pipeline=sql_cli)
sleep(MOGUJIE_SLEEP_TIME) # 放慢速度
else: # 未下架的
for item_2 in item_list:
if item_2.get('goods_id',
'') == goods_id:
mogujie_pintuan.get_goods_data(
goods_id=goods_id)
goods_data = mogujie_pintuan.deal_with_data(
)
if goods_data == {}: pass
else:
# 规范化
goods_data[
'goods_id'] = goods_id
goods_data[
'price_info_list'] = _get_mogujie_pintuan_price_info_list(
goods_data[
'price_info_list'])
goods_data[
'pintuan_time'] = item_2.get(
'pintuan_time', {})
goods_data[
'pintuan_begin_time'], goods_data[
'pintuan_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=
goods_data[
'pintuan_time']
)
goods_data[
'all_sell_count'] = item_2.get(
'all_sell_count', '')
# pprint(goods_data)
mogujie_pintuan.update_mogujie_pintuan_table(
data=goods_data,
pipeline=sql_cli)
sleep(
MOGUJIE_SLEEP_TIME) # 放慢速度
else:
pass
else:
print('数据库连接失败，此处跳过!')
pass
index += 1
gc.collect()
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(10 * 60)
gc.collect()
def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
sql_str = '''
select GoodsID, IsDelete, Price, TaoBaoPrice, shelf_time, delete_time
from dbo.GoodsInfoAutoGet
where SiteID=13 and MainGoodsID is not null'''
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
except TypeError:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
for item in result: # 实时更新数据
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
pinduoduo = PinduoduoParse()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
print('------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)' % (item[0], index))
pinduoduo.get_goods_data(goods_id=item[0])
data = pinduoduo.deal_with_data()
if data != {}:
data['goods_id'] = item[0]
data['shelf_time'], data['delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[1],
shelf_time=item[4],
delete_time=item[5])
data['_is_price_change'], data['_price_change_info'] = _get_price_change_info(
old_price=item[2],
old_taobao_price=item[3],
new_price=data['price'],
new_taobao_price=data['taobao_price']
)
# print('------>>>| 爬取到的数据为: ', data)
pinduoduo.to_right_and_update_data(data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del pinduoudo
# except:
# pass
gc.collect()
# sleep(1)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60*60*5.5)
else:
sleep(5)
# del pinduoduo
gc.collect()
def deal_with_data(self, *param):
'''
处理并存储相关秒杀商品的数据
:param param: 相关参数
:return:
'''
print(60 * '*')
event_time = param[0]
item_list = param[1]
print('秒杀开始时间:', timestamp_to_regulartime(event_time), '\t',
'对应时间戳为: ', event_time)
print(60 * '*')
mogujie = MoGuJieMiaoShaParse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
_ = list(my_pipeline._select_table(sql_str=mg_select_str_4))
db_goods_id_list = [item[0] for item in _]
for item in item_list:
goods_id = str(item.get('iid', ''))
if goods_id in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
tmp_url = item.get('link', '')
# print(tmp_url)
try:
object_id = re.compile('objectId=(\w+)').findall(
tmp_url)[0]
except IndexError: # 表示匹配到的地址不是秒杀商品的地址
print('+++++++ 这个url不是秒杀的url: ', tmp_url)
continue
tmp_url = 'https://shop.mogujie.com/rushdetail/{0}?objectId={1}&type=rush'.format(
goods_id, object_id)
tmp_ = mogujie.get_goods_id_from_url(tmp_url)
mogujie.get_goods_data(goods_id=tmp_)
goods_data = mogujie.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
else: # 否则就解析并且插入
goods_data['goods_url'] = tmp_url
goods_data['goods_id'] = str(goods_id)
# price设置为原价
try:
tmp_price_list = sorted([
round(float(item_4.get('normal_price', '')), 2)
for item_4 in goods_data['price_info_list']
])
price = Decimal(tmp_price_list[-1]).__round__(
2) # 商品原价
goods_data['price'] = price
except:
print('设置price为原价时出错!请检查')
sleep(MOGUJIE_SLEEP_TIME) # 放慢速度
continue
goods_data['miaosha_time'] = {
'miaosha_begin_time':
timestamp_to_regulartime(
int(item.get('startTime', 0))),
'miaosha_end_time':
timestamp_to_regulartime(
int(item.get('endTime', 0))),
}
goods_data['miaosha_begin_time'], goods_data[
'miaosha_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=goods_data['miaosha_time'])
goods_data['event_time'] = str(event_time)
# pprint(goods_data)
# print(goods_data)
res = mogujie.insert_into_mogujie_xianshimiaosha_table(
data=goods_data, pipeline=my_pipeline)
if res:
if goods_id not in db_goods_id_list:
db_goods_id_list.append(goods_id)
sleep(MOGUJIE_SLEEP_TIME) # 放慢速度
else:
print('数据库连接失败，此处跳过!')
pass
try:
del mogujie
except:
pass
gc.collect()
def get_spike_hour_goods_info(self):
'''
模拟构造得到data的url，得到近期所有的限时秒杀商品信息
:return:
'''
base_session_id = BASE_SESSION_ID
while base_session_id < MAX_SESSION_ID:
print('待抓取的session_id为: ', base_session_id)
data = self._get_one_session_id_data(base_session_id=base_session_id)
sleep(.3)
if data.get('data', {}).get('blocks', []) == []: # session_id不存在
pass
else: # 否则session_id存在
try:
_ = str(data.get('data', {}).get('blocks', [])[0].get('deal', {}).get('begin_time', ''))[:10]
if _ != '':
pass
elif data.get('data', {}).get('blocks', [])[0].get('showcase', {}) != {}: # 未来时间
print('*** 未来时间 ***')
# pprint(data.get('data', {}))
_ = str(data.get('data', {}).get('blocks', [])[1].get('deal', {}).get('begin_time', ''))[:10]
else:
raise Exception
begin_times_timestamp = int(_) # 将如 "2017-09-28 10:00:00"的时间字符串转化为时间戳，然后再将时间戳取整
except Exception as e:
print('遇到严重错误: ', e)
base_session_id += 2
continue
print('秒杀时间为: ', timestamp_to_regulartime(begin_times_timestamp))
if self.is_recent_time(timestamp=begin_times_timestamp): # 说明秒杀日期合法
try:
data = [item_s.get('deal', {}) for item_s in data.get('data', {}).get('blocks', [])]
except Exception as e:
print('遇到严重错误: ', e)
base_session_id += 2
continue
# pprint(data)
if data != []: # 否则说明里面有数据
miaosha_goods_list = self.get_miaoshao_goods_info_list(data=data)
# pprint(miaosha_goods_list)
zhe_800 = Zhe800Parse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
db_goods_id_list = [item[0] for item in list(my_pipeline._select_table(sql_str=z8_select_str_5))]
for item in miaosha_goods_list:
if item.get('zid', '') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
tmp_url = 'https://shop.zhe800.com/products/' + str(item.get('zid', ''))
goods_id = zhe_800.get_goods_id_from_url(tmp_url)
zhe_800.get_goods_data(goods_id=goods_id)
goods_data = zhe_800.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
else: # 否则就解析并且插入
goods_data['stock_info'] = item.get('stock_info')
goods_data['goods_id'] = str(item.get('zid'))
goods_data['spider_url'] = tmp_url
goods_data['username'] = '******'
goods_data['price'] = item.get('price')
goods_data['taobao_price'] = item.get('taobao_price')
goods_data['sub_title'] = item.get('sub_title')
# goods_data['is_baoyou'] = item.get('is_baoyou')
goods_data['miaosha_time'] = item.get('miaosha_time')
goods_data['miaosha_begin_time'], goods_data['miaosha_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(miaosha_time=item.get('miaosha_time'))
goods_data['session_id'] = str(base_session_id)
# print(goods_data['miaosha_time'])
# print(goods_data)
zhe_800.insert_into_zhe_800_xianshimiaosha_table(data=goods_data, pipeline=my_pipeline)
sleep(ZHE_800_SPIKE_SLEEP_TIME) # 放慢速度
sleep(1)
else:
pass
try:
del zhe_800
except:
pass
gc.collect()
else: # 说明这个sessionid没有数据
print('该sessionid没有相关key为jsons的数据')
# return {}
pass
else:
pass
base_session_id += 2
def get_ali_1688_data(self, goods_id):
if goods_id == '':
self.result_data = {}
return {}
# 阿里1688手机版地址: https://m.1688.com/offer/559836312862.html
wait_to_deal_with_url = 'https://m.1688.com/offer/' + str(
goods_id) + '.html'
print('------>>>| 待处理的阿里1688地址为: ', wait_to_deal_with_url)
body = self.my_phantomjs.use_phantomjs_to_get_url_body(
url=wait_to_deal_with_url, css_selector='div.d-content')
# print(body)
if body == '':
print('获取到的body为空str!请检查!')
self.result_data = {}
return {}
# '''
# 改用requests
# '''
# body = MyRequests.get_url_body(url=wait_to_deal_with_url, headers=self.headers)
# # print(body)
#
# if body == '':
# return {}
# print(body)
tmp_body = body
try:
pull_off_shelves = Selector(
text=body).css('div.d-content p.info::text').extract_first()
except:
pull_off_shelves = ''
if pull_off_shelves == '该商品无法查看或已下架': # 表示商品已下架, 同样执行插入数据操作
# print('test')
try:
tmp_my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
sql_str = 'select GoodsID from dbo.GoodsInfoAutoGet where SiteID=2 and GoodsID=%s'
is_in_db = tmp_my_pipeline._select_table(
sql_str=sql_str, params=(str(goods_id), ))
# print(is_in_db)
except Exception as e:
print('遇到错误:', e)
print('数据库连接失败!')
self.result_data = {}
return {}
if is_in_db != []: # 表示该goods_id以前已被插入到db中, 于是只需要更改其is_delete的状态即可
sql_str = 'update dbo.GoodsInfoAutoGet set IsDelete=1 where GoodsID=%s'
tmp_my_pipeline._update_table(sql_str=sql_str,
params=(goods_id))
print('@@@ 该商品goods_id原先存在于db中, 此处将其is_delete=1')
tmp_data_s = self.init_pull_off_shelves_goods() # 初始化下架商品的属性
tmp_data_s['before'] = True # 用来判断原先该goods是否在db中
self.result_data = {}
return tmp_data_s
else: # 表示该goods_id没存在于db中
print('@@@ 该商品已下架[但未存在于db中], ** 此处将其插入到db中...')
tmp_data_s = self.init_pull_off_shelves_goods() # 初始化下架商品的属性
tmp_data_s['before'] = False
self.result_data = {}
return tmp_data_s
body = re.compile(r'{"beginAmount"(.*?)</script></div></div>').findall(
body)
if body != []:
body = body[0]
body = r'{"beginAmount"' + body
# print(body)
body = json.loads(body)
# pprint(body)
if body.get('discountPriceRanges') is not None:
self.result_data = self._wash_discountPriceRanges(body=body)
return self.result_data
else:
print('data为空!')
self.result_data = {} # 重置下，避免存入时影响下面爬取的赋值
return {}
else:
print('解析ing..., 该商品正在参与火拼, 此处为火拼价, 为短期活动价格!')
body = re.compile(
r'{"activityId"(.*?)</script></div></div>').findall(tmp_body)
if body != []:
body = body[0]
body = r'{"activityId"' + body
# print(body)
body = json.loads(body)
# pprint(body)
if body.get('discountPriceRanges') is not None:
self.result_data = self._wash_discountPriceRanges(
body=body)
self.is_activity_goods = True
return self.result_data
else:
print('data为空!')
self.result_data = {} # 重置下，避免存入时影响下面爬取的赋值
return {}
else:
print('这个商品对应活动属性未知, 此处不解析, 设置为跳过!')
self.result_data = {} # 重置下，避免存入时影响下面爬取的赋值
return {}
def run_forever():
while True:
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
sql_str = 'select SiteID, GoodsID, IsDelete, MyShelfAndDownTime, Price, TaoBaoPrice from dbo.GoodsInfoAutoGet where SiteID=3 or SiteID=4 or SiteID=6 order by ID desc'
sql_str_2 = 'select GoodsOutUrl, goods_id from db_k85u.dbo.goodsinfo where OutGoodsType<=13 and onoffshelf=1 and not exists (select maingoodsid from gather.dbo.GoodsInfoAutoGet c where c.maingoodsid=goodsinfo.goods_id)'
try:
result = list(tmp_sql_server._select_table(sql_str=sql_str))
result_2 = list(
tmp_sql_server._select_table(sql_str=sql_str_2, params=None))
except TypeError as e:
print('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
result_2 = []
if result is None:
pass
else:
print('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
print(result_2)
print('--------------------------------------------------------')
print('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
tmall = TmallParse()
for item in result_2: # 实时更新数据
data = {}
if index % 5 == 0:
tmall = TmallParse()
gc.collect()
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
print('正在重置，并与数据库建立新连接中...')
# try:
# del tmp_sql_server
# except:
# pass
# gc.collect()
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
print('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
goods_id = tmall.get_goods_id_from_url(item[0])
if goods_id == []:
print('@@@ 原地址为: ', item[0])
continue
else:
print(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%d)'
% (goods_id[1], index))
data = tmall.get_goods_data(goods_id=goods_id)
if isinstance(data, int):
continue
if data.get('is_delete') == 1:
data['goods_id'] = goods_id[1]
# 改进判断，根据传入数据判断是天猫，还是天猫超市，还是天猫国际
#####################################################
if goods_id[0] == 0: # [0, '1111']
wait_to_deal_with_url = 'https://detail.tmall.com/item.htm?id=' + goods_id[
1] # 构造成标准干净的天猫商品地址
elif goods_id[0] == 1: # [1, '1111']
wait_to_deal_with_url = 'https://chaoshi.detail.tmall.com/item.htm?id=' + goods_id[
1]
elif goods_id[
0] == 2: # [2, '1111', 'https://xxxxx']
wait_to_deal_with_url = str(
goods_id[2]) + '?id=' + goods_id[1]
else:
continue
data['goods_url'] = wait_to_deal_with_url
data['username'] = '******'
data['main_goods_id'] = item[1]
# print('------>>>| 爬取到的数据为: ', data)
result = tmall.old_tmall_goods_insert_into_new_table(
data, pipeline=tmp_sql_server)
if result is False:
print('出错商品的地址为: ', item[0])
else:
pass
index += 1
gc.collect()
sleep(1.2)
continue
else:
pass
data = tmall.deal_with_data()
if data != {}:
data['goods_id'] = goods_id[1]
# 改进判断，根据传入数据判断是天猫，还是天猫超市，还是天猫国际
#####################################################
if goods_id[0] == 0: # [0, '1111']
wait_to_deal_with_url = 'https://detail.tmall.com/item.htm?id=' + goods_id[
1] # 构造成标准干净的天猫商品地址
elif goods_id[0] == 1: # [1, '1111']
wait_to_deal_with_url = 'https://chaoshi.detail.tmall.com/item.htm?id=' + goods_id[
1]
elif goods_id[
0] == 2: # [2, '1111', 'https://xxxxx']
wait_to_deal_with_url = str(
goods_id[2]) + goods_id[1]
else:
continue
data['goods_url'] = wait_to_deal_with_url
data['username'] = '******'
data['main_goods_id'] = item[1]
# print('------>>>| 爬取到的数据为: ', data)
tmall.old_tmall_goods_insert_into_new_table(
data, pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
pass
else: # 表示返回的data值为空值
print('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
# try:
# del tmall
# except:
# pass
gc.collect()
sleep(2)
print('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
# del ali_1688
gc.collect()
async def deal_with_all_goods_id(self):
'''
获取每个详细分类的商品信息
:return: None
'''
sort_data = await self.get_all_goods_list()
sql_cli = SqlServerMyPageInfoSaveItemPipeline()
index = 1
if sql_cli.is_connect_success:
# 普通sql_server连接(超过3000无返回结果集)
self.lg.info('正在获取天天特价db原有goods_id, 请耐心等待...')
db_ = list(sql_cli._select_table(sql_str=tb_select_str_6))
db_goods_id_list = [[item[0], item[2]] for item in db_]
self.lg.info('获取完毕!!!')
# print(db_goods_id_list)
db_all_goods_id = [i[0] for i in db_goods_id_list]
for item in sort_data:
tejia_goods_list = await self.get_tiantiantejia_goods_list(
data=item.get('data', []))
self.lg.info(str(tejia_goods_list))
for tmp_item in tejia_goods_list:
if tmp_item.get(
'goods_id', ''
) in db_all_goods_id: # 处理如果该goods_id已经存在于数据库中的情况
tmp_end_time = ''
try:
tmp_end_time = [
i[1] for i in db_goods_id_list
if tmp_item.get('goods_id', '') == i[0]
][0]
# print(tmp_end_time)
except:
pass
if tmp_end_time != '' \
and tmp_end_time < get_shanghai_time():
'''
* 处理由常规商品又转换为天天特价商品 *
'''
self.lg.info('##### 该商品由常规商品又转换为天天特价商品! #####')
# 先删除，再重新插入(原先已过期)
_ = await sql_cli.delete_taobao_tiantiantejia_expired_goods_id(
goods_id=tmp_item.get('goods_id', ''),
logger=self.lg)
if _ is False:
continue
index = await self.insert_into_table(
tmp_item=tmp_item,
category=item['category'],
current_page=item['current_page'],
sql_cli=sql_cli,
index=index,
)
else:
self.lg.info('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
sql_cli = await _get_new_db_conn(
db_obj=sql_cli,
index=index,
logger=self.lg,
)
if sql_cli.is_connect_success:
index = await self.insert_into_table(
tmp_item=tmp_item,
category=item['category'],
current_page=item['current_page'],
sql_cli=sql_cli,
index=index,
)
else:
self.lg.error('数据库连接失败!')
pass
else:
self.lg.error('数据库连接失败!')
pass
collect()
# 休眠30分钟
self.lg.info('休眠30分钟, 避免特价数据量过大...')
await async_sleep(60 * 30)
return True
def run_forever():
while True:
# ** 不能写成全局变量并放在循环中, 否则会一直记录到同一文件中
my_lg = set_logger(log_file_name=MY_SPIDER_LOGS_PATH + '/天猫/实时更新/' +
str(get_shanghai_time())[0:10] + '.txt',
console_log_level=INFO,
file_log_level=ERROR)
#### 实时更新数据
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
try:
result = list(
tmp_sql_server._select_table(sql_str=tm_select_str_3))
except TypeError:
my_lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
if result is None:
pass
else:
my_lg.info('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
my_lg.info(str(result))
my_lg.info('总计待更新个数: {0}'.format(len(result)))
my_lg.info(
'--------------------------------------------------------')
my_lg.info('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
index = 1
# 释放内存,在外面声明就会占用很大的，所以此处优化内存的方法是声明后再删除释放
tmall = TmallParse(logger=my_lg)
for item in result: # 实时更新数据
if index % 5 == 0:
try:
del tmall
except:
pass
tmall = TmallParse(logger=my_lg)
gc.collect()
if index % 10 == 0: # 每10次重连一次，避免单次长连无响应报错
my_lg.info('正在重置，并与数据库建立新连接中...')
tmp_sql_server = SqlServerMyPageInfoSaveItemPipeline()
my_lg.info('与数据库的新连接成功建立...')
if tmp_sql_server.is_connect_success:
my_lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (str(item[1]), str(index)))
tmp_item = []
if item[0] == 3: # 从数据库中取出时，先转换为对应的类型
tmp_item.append(0)
elif item[0] == 4:
tmp_item.append(1)
elif item[0] == 6:
tmp_item.append(2)
tmp_item.append(item[1])
oo = tmall.get_goods_data(goods_id=tmp_item)
oo_is_delete = oo.get('is_detele', 0) # 避免下面解析data错误休眠
if isinstance(oo, int): # 单独处理return 4041
index += 1
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
continue
data = tmall.deal_with_data()
if data != {}:
data['goods_id'] = item[1]
data['shelf_time'], data[
'delete_time'] = get_shelf_time_and_delete_time(
tmp_data=data,
is_delete=item[2],
shelf_time=item[5],
delete_time=item[6])
data['_is_price_change'], data[
'_price_change_info'] = _get_price_change_info(
old_price=item[3],
old_taobao_price=item[4],
new_price=data['price'],
new_taobao_price=data['taobao_price'])
site_id = tmall._from_tmall_type_get_site_id(
type=data['type'])
try:
old_sku_info = format_price_info_list(
price_info_list=json_2_dict(item[7]),
site_id=site_id)
except AttributeError: # 处理已被格式化过的
old_sku_info = item[7]
data['_is_price_change'], data[
'sku_info_trans_time'] = get_sku_info_trans_record(
old_sku_info=old_sku_info,
new_sku_info=format_price_info_list(
data['price_info_list'], site_id=site_id),
is_price_change=item[8]
if item[8] is not None else 0)
tmall.to_right_and_update_data(data,
pipeline=tmp_sql_server)
else: # 表示返回的data值为空值
if oo_is_delete == 1:
pass
else:
my_lg.info('------>>>| 休眠8s中...')
sleep(8)
else: # 表示返回的data值为空值
my_lg.error('数据库连接失败，数据库可能关闭或者维护中')
sleep(5)
pass
index += 1
gc.collect()
sleep(TMALL_REAL_TIMES_SLEEP_TIME)
my_lg.info('全部数据更新完毕'.center(100, '#')) # sleep(60*60)
if get_shanghai_time().hour == 0: # 0点以后不更新
sleep(60 * 60 * 5.5)
else:
sleep(5)
gc.collect()
def deal_with_data(self, goods_list):
'''
处理并存储相关拼团商品的数据
:param goods_list:
:return:
'''
mia = MiaPintuanParse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
_ = list(my_pipeline._select_table(sql_str=mia_select_str_1))
db_goods_id_list = [item[0] for item in _]
# print(db_goods_id_list)
for item in goods_list:
if item.get('goods_id', '') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
goods_id = str(item.get('goods_id', ''))
tmp_url = 'https://www.mia.com/item-' + str(
goods_id) + '.html'
mia.get_goods_data(goods_id=str(goods_id))
goods_data = mia.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
else: # 否则就解析并且插入
goods_url = goods_data['goods_url']
if re.compile(r'://m.miyabaobei.hk/').findall(
goods_url) != '':
goods_url = 'https://www.miyabaobei.hk/item-' + str(
goods_id) + '.html'
else:
goods_url = 'https://www.mia.com/item-' + str(
goods_id) + '.html'
goods_data['goods_url'] = goods_url
goods_data['goods_id'] = str(goods_id)
goods_data['sub_title'] = item.get('sub_title', '')
goods_data['pintuan_begin_time'], goods_data[
'pintuan_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=goods_data['pintuan_time'])
goods_data['pid'] = item.get('pid')
# pprint(goods_data)
_r = mia.insert_into_mia_pintuan_table(
data=goods_data, pipeline=my_pipeline)
if _r: # 更新
if goods_id not in db_goods_id_list:
db_goods_id_list.append(goods_id)
sleep(MIA_SPIKE_SLEEP_TIME) # 放慢速度
else:
print('数据库连接失败，此处跳过!')
pass
try:
del mia
except:
pass
collect()
class GoodsKeywordsSpider(Crawler):
def __init__(self):
super(GoodsKeywordsSpider, self).__init__(
ip_pool_type=IP_POOL_TYPE,
log_print=True,
logger=None,
log_save_path=MY_SPIDER_LOGS_PATH + '/goods_keywords/_/',
)
self.msg = ''
self._init_debugging_api()
self.debugging_api = self._init_debugging_api()
self._set_func_name_dict()
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
# 插入数据到goods_id_and_keyword_middle_table表
self.add_keyword_id_for_goods_id_sql_str = kw_insert_str_1
def _init_debugging_api(self):
'''
用于设置crawl的关键字热销商品的site_id
:return: dict
'''
return {
1: True, # 淘宝
2: True, # 阿里1688
3: True, # 天猫
4: True, # 京东
}
def _set_func_name_dict(self):
self.func_name_dict = {
'taobao':
'self._taobao_keywords_spider(goods_id_list={0}, keyword_id={1})',
'ali':
'self._ali_keywords_spider(goods_id_list={0}, keyword_id={1})',
'tmall':
'self._tmall_keywords_spider(goods_id_list={0}, keyword_id={1})',
'jd': 'self._jd_keywords_spider(goods_id_list={0}, keyword_id={1})'
}
def _just_run(self):
while True:
# 获取原先goods_db的所有已存在的goods_id
try:
result = list(
self.my_pipeline._select_table(sql_str=kw_select_str_1))
self.lg.info('正在获取db中已存在的goods_id...')
result_2 = list(
self.my_pipeline._select_table(sql_str=kw_select_str_2))
self.lg.info('db中已存在的goods_id获取成功!')
except TypeError:
self.lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
result = None
result_2 = None
if result is not None and result_2 is not None:
self.lg.info('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
self.lg.info(str(result))
self.lg.info(
'--------------------------------------------------------')
self.lg.info('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
self.add_goods_index = 0 # 用于定位增加商品的个数
self.db_existed_goods_id_list = [item[0] for item in result_2]
# 即时释放资源
try:
del result_2
except:
pass
gc.collect()
for item in result: # 每个关键字在True的接口都抓完, 再进行下一次
self.lg.info('正在处理id为{0}, 关键字为 {1} ...'.format(
item[0], item[1]))
for type, type_value in self.debugging_api.items(
): # 遍历待抓取的电商分类
if type_value is False:
self.lg.info('api为False, 跳过!')
continue
if self.add_goods_index % 20 == 0:
self.lg.info('my_pipeline客户端重连中...')
try:
del self.my_pipeline
except:
pass
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline(
)
self.lg.info('my_pipeline客户端重连完毕!')
goods_id_list = self._get_keywords_goods_id_list(
type=type, keyword=item)
self.lg.info(
'关键字为{0}, 获取到的goods_id_list 如下: {1}'.format(
item[1], str(goods_id_list)))
'''处理goods_id_list'''
self._deal_with_goods_id_list(
type=type,
goods_id_list=goods_id_list,
keyword_id=item[0])
sleep(3)
def _get_keywords_goods_id_list(self, type, keyword):
'''
获取goods_id_list
:param type: 电商种类
:param keyword:
:return:
'''
if type == 1:
self.lg.info('下面是淘宝的关键字采集...')
goods_id_list = self._get_taobao_goods_keywords_goods_id_list(
keyword=keyword)
elif type == 2:
self.lg.info('下面是阿里1688的关键字采集...')
goods_id_list = self._get_1688_goods_keywords_goods_id_list(
keyword=keyword)
elif type == 3:
self.lg.info('下面是天猫的关键字采集...')
goods_id_list = self._get_tmall_goods_keywords_goods_id_list(
keyword=keyword)
elif type == 4:
self.lg.info('下面是京东的关键字采集...')
goods_id_list = self._get_jd_goods_keywords_goods_id_list(
keyword=keyword)
else:
goods_id_list = []
return goods_id_list
def _deal_with_goods_id_list(self, **kwargs):
'''
分类执行代码
:param kwargs:
:return:
'''
type = kwargs.get('type', '')
goods_id_list = kwargs.get('goods_id_list', [])
keyword_id = kwargs.get('keyword_id', '')
if type == 1:
self._taobao_keywords_spider(goods_id_list=goods_id_list,
keyword_id=keyword_id)
elif type == 2:
self._1688_keywords_spider(goods_id_list=goods_id_list,
keyword_id=keyword_id)
elif type == 3:
self._tmall_keywords_spider(goods_id_list=goods_id_list,
keyword_id=keyword_id)
elif type == 4:
self._jd_keywords_spider(goods_id_list=goods_id_list,
keyword_id=keyword_id)
else:
pass
return None
def _get_taobao_goods_keywords_goods_id_list(self, keyword):
'''
获取该keywords的商品的goods_id_list
:param keyword: (id, keyword)
:return: a list
'''
headers = {
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
'user-agent': get_random_pc_ua(),
'accept': '*/*',
# 'referer': 'https://s.taobao.com/search?q=%E8%BF%9E%E8%A1%A3%E8%A3%99%E5%A4%8F&imgfile=&commend=all&ssid=s5-e&search_type=item&sourceId=tb.index&spm=a21bo.2017.201856-taobao-item.1&ie=utf8&initiative_id=tbindexz_20170306',
'authority': 's.taobao.com',
# 'cookie': 't=70c4fb481898a67a66d437321f7b5cdf; cna=nbRZExTgqWsCAXPCa6QA5B86; l=AkFBuFEM2rj4GbU8Mjl3KsFo0YZa/7Vg; thw=cn; tracknick=%5Cu6211%5Cu662F%5Cu5DE5%5Cu53F79527%5Cu672C%5Cu4EBA; _cc_=UIHiLt3xSw%3D%3D; tg=0; enc=OFbfiyN19GGi1GicxsjVmrZoFzlt9plbuviK5OuthXYfocqTD%2BL079G%2BIt4OMg6ZrbV4veSg5SQEpzuMUgLe0w%3D%3D; hng=CN%7Czh-CN%7CCNY%7C156; miid=763730917900964122; mt=ci%3D-1_1; linezing_session=i72FGC0gr3GTls7K7lswxen2_1527664168714VAPN_1; cookie2=1cf9585e0c6d98c72c64beac41a68107; v=0; _tb_token_=5ee03e566b165; uc1=cookie14=UoTeOZOVOtrsVw%3D%3D; alitrackid=www.taobao.com; lastalitrackid=www.taobao.com; _m_h5_tk=14984d833a4647c13d4207c86d0dbd97_1528036508423; _m_h5_tk_enc=a8709d79a833625dc5c42b778ee7f1ee; JSESSIONID=F57610F0B34140EDC9F242BEA0F4800A; isg=BLm5VsJ0xr4M-pvu-R_LcQkeyCNTbqwVe7qvs9vvJODVYtj0JBZ5Sd704WaUEkWw',
}
# 获取到的为淘宝关键字搜索按销量排名
params = (
('data-key', 'sort'),
('data-value', 'sale-desc'),
('ajax', 'true'),
# ('_ksTS', '1528171408340_395'),
('callback', 'jsonp396'),
('q', keyword[1]),
('imgfile', ''),
('commend', 'all'),
('ssid', 's5-e'),
('search_type', 'item'),
('sourceId', 'tb.index'),
# ('spm', 'a21bo.2017.201856-taobao-item.1'),
('ie', 'utf8'),
# ('initiative_id', 'tbindexz_20170306'),
)
s_url = 'https://s.taobao.com/search'
body = Requests.get_url_body(url=s_url,
headers=headers,
params=params,
ip_pool_type=self.ip_pool_type)
if body == '':
return []
else:
try:
data = re.compile('\((.*)\)').findall(body)[0]
except IndexError:
self.lg.error('re获取淘宝data时出错, 出错关键字为{0}'.format(keyword[1]))
return []
data = json_2_dict(json_str=data, logger=self.lg)
if data == {}:
self.lg.error('获取到的淘宝搜索data为空dict! 出错关键字为{0}'.format(
keyword[1]))
return []
else:
goods_id_list = data.get('mainInfo', {}).get(
'traceInfo', {}).get('traceData', {}).get('allNids', [])
if goods_id_list is None or goods_id_list == []:
self.lg.error('获取淘宝搜索goods_id_list为空list! 出错关键字{0}'.format(
keyword[1]))
return []
else:
return goods_id_list
def _get_1688_goods_keywords_goods_id_list(self, keyword):
'''
根据keyword获取1688销量靠前的商品信息
:param keyword:
:return: a list eg: ['11111', ...]
'''
'''方案1: 从m.1688.com搜索页面进行抓取, 只取第一页的销量排名靠前的商品'''
headers = {
'authority': 'm.1688.com',
'cache-control': 'max-age=0',
'upgrade-insecure-requests': '1',
'user-agent': get_random_pc_ua(),
'accept':
'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
# 'cookie': 'cna=nbRZExTgqWsCAXPCa6QA5B86; ali_ab=113.215.180.118.1523857816418.4; lid=%E6%88%91%E6%98%AF%E5%B7%A5%E5%8F%B79527%E6%9C%AC%E4%BA%BA; _csrf_token=1528708263870; JSESSIONID=9L783sX92-8iXZBHLCgK4fJiFKG9-W66WeuQ-BRgo4; hng=CN%7Czh-CN%7CCNY%7C156; t=70c4fb481898a67a66d437321f7b5cdf; _tb_token_=5ee03e566b165; __cn_logon__=false; h_keys="aa#2018%u5973%u88c5t%u6064"; alicnweb=homeIdttS%3D38414563432175544705031886000168094537%7Ctouch_tb_at%3D1528767881872%7ChomeIdttSAction%3Dtrue; ctoken=YnzGSFi23yEECqVO988Gzealot; _m_h5_tk=1cdad4dba1f1502fb29f57b3f73f5610_1528770803659; _m_h5_tk_enc=64259ec4fe4c33bc4555166994ed7b4d; __cn_logon__.sig=i6UL1cVhdIpbPPA_02yGiEyKMeZR2hBfnaoYK1CcrF4; ali_apache_id=11.182.158.193.1528768195886.327406.1; XSRF-TOKEN=b84fcec8-8bdf-41a5-a5c1-f8d6bfc9f83e; _tmp_ck_0=IlQ2M6x9F5xTkEpGRay66FVl%2BBaIEY076xELE8UtaLcz%2BgR%2FJ2UZOfDeKILA7R2VgXEJ7VYCkEQjS1RcUCwfL%2Br8ZFi0vwyVwyNpQsD2QG0HaihwedkkF9Cp9Ww0Jr%2BZF4la9CTe0AY8d1E1lDF91tD7lMAKIGVSne3V95CfI8VzpiWJ415B1IA0cc9J6IpYzn0mT1xLYnXcBAkDq0gop74NaynWIxw%2BLqmnXr%2BYU2bkOyMxZOBVY9B%2Bb0FU82h3TC9HCM8dGLnK2kxlgR%2B5lyT%2BCCFhhIX%2FioEMtA0TvDpXvRSUKoDTQG%2FCeJiKfy3LxMXmcTs5TBuWkh31F8nDCpLf6%2FlYOGkqeV1WLJeYXVe3SBvZC2O2JcYBQaKHcesETe%2FwTJL1fyc%3D; ad_prefer="2018/06/12 10:18:21"; webp=1; isg=BJWVxP7WYsuzzEf8vnJ3nRJEpJdFFdP4_0ZTRxc4b4wzbrxg3ONSdf5sPHJY2WFc; ali-ss=eyJ1c2VySWQiOm51bGwsImxvZ2luSWQiOm51bGwsInNpZCI6bnVsbCwiZWNvZGUiOm51bGwsIm1lbWJlcklkIjpudWxsLCJzZWNyZXQiOiJ5V3I0UVJGelVSVGp4dWs4aUxPWGl4dDIiLCJfZXhwaXJlIjoxNTI4ODU3MDE5ODMzLCJfbWF4QWdlIjo4NjQwMDAwMH0=; ali-ss.sig=z0qrG8Cj9BhDL_CLwTzgBGcdjSOXtp6YLxgDdTQRcWE',
}
params = (
('sortType', 'booked'),
('filtId', ''),
('keywords', keyword[1]),
('descendOrder', 'true'),
)
url = 'https://m.1688.com/offer_search/-6161.html'
body = Requests.get_url_body(url=url,
headers=headers,
params=params,
ip_pool_type=self.ip_pool_type)
# self.lg.info(str(body))
if body == '':
return []
else:
try:
goods_id_list = Selector(text=body).css(
'div.list_group-item::attr("data-offer-id")').extract()
# pprint(goods_id_list)
except Exception as e:
self.lg.exception(e)
self.lg.error('获取1688搜索goods_id_list为空list! 出错关键字{0}'.format(
keyword[1]))
goods_id_list = []
return goods_id_list
def _get_tmall_goods_keywords_goods_id_list(self, keyword):
'''
根据keyword获取tmall销量靠前的商品
:param keyword:
:return: list eg: ['//detail.tmall.com/item.htm?id=566978017832&skuId=3606684772412', ...] 不是返回goods_id
'''
'''方案: tmall m站的搜索''' # 搜索: 偶尔不稳定但是还是能用
headers = {
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
'user-agent': get_random_pc_ua(),
'accept': '*/*',
# 'referer': 'https://list.tmall.com/search_product.htm?q=%B0%A2%B5%CF%B4%EF%CB%B9&type=p&spm=a220m.6910245.a2227oh.d100&from=mallfp..m_1_suggest&sort=d',
'authority': 'list.tmall.com',
# 'cookie': 'cna=nbRZExTgqWsCAXPCa6QA5B86; _med=dw:1280&dh:800&pw:2560&ph:1600&ist:0; cq=ccp%3D1; hng=CN%7Czh-CN%7CCNY%7C156; lid=%E6%88%91%E6%98%AF%E5%B7%A5%E5%8F%B79527%E6%9C%AC%E4%BA%BA; enc=zIc9Cy5z0iS95tACxeX82fUsJdrekjC6%2BomP3kNKji1Z9RKwOt%2Fysyyewwf8twcytUGt2yT9AlAh5ASUlds05g%3D%3D; t=70c4fb481898a67a66d437321f7b5cdf; tracknick=%5Cu6211%5Cu662F%5Cu5DE5%5Cu53F79527%5Cu672C%5Cu4EBA; _tb_token_=5ee03e566b165; cookie2=1cf9585e0c6d98c72c64beac41a68107; tt=tmall-main; pnm_cku822=098%23E1hvHpvUvbpvUvCkvvvvvjiPPFcvsjYnn2dvljEUPmP9sj1HPFsWtj3EP25ptj3PiQhvCvvvpZptvpvhvvCvpvhCvvOv9hCvvvmtvpvIvvCvxQvvvUgvvhVXvvvCxvvvBZZvvUhpvvChiQvv9Opvvho5vvmC3UyCvvOCvhEC0nkivpvUvvCCEppK6NOEvpCWvKXQwCzE%2BFuTRogRD76fdigqb64B9C97%2Bul1B5c6%2Bu0OVC61D70O58TJOymQD40OeutYon29V3Q7%2B3%2Busj7J%2Bu0OaokQD40OeutYLpGCvvpvvPMM; res=scroll%3A990*6982-client%3A472*680-offset%3A472*6982-screen%3A1280*800; _m_h5_tk=69794695b8eeb690d3ef037f6780d514_1529036786907; _m_h5_tk_enc=3e31314740c37d1fb14a26989cdac03c; isg=BN_f5lvy-LULYv0VwEkGMp59bjVjxpc1-mcB0nEsew7VAP6CeRTDNl2Gx5Z-nAte',
}
params = {
'page_size': '20',
'page_no': '1',
'q': str(keyword[1]),
'type': 'p',
'spm': 'a220m.6910245.a2227oh.d100',
'from': 'mallfp..m_1_suggest',
'sort': 'd',
}
s_url = 'https://list.tmall.com/m/search_items.htm'
body = Requests.get_url_body(url=s_url,
headers=headers,
params=params,
ip_pool_type=self.ip_pool_type)
# self.lg.info(str(body))
if body == '':
return []
else:
data = json_2_dict(json_str=body, logger=self.lg)
if data == {}:
self.lg.error('获取到的天猫搜索data为空dict! 出错关键字为{0}'.format(
keyword[1]))
return []
else:
_ = data.get('item', [])
if _ is None or _ == []:
self.lg.error('获取天猫搜索goods_id_list为空list! 出错关键字{0}'.format(
keyword[1]))
return []
try:
goods_id_list = [str(item.get('url', '')) for item in _]
except Exception as e:
self.lg.exception(e)
self.lg.error('获取天猫搜索goods_id_list为空list! 出错关键字{0}'.format(
keyword[1]))
return []
return goods_id_list
def _get_jd_goods_keywords_goods_id_list(self, keyword):
'''
根据keyword获取京东销量靠前的商品
:param keyword:
:return: [] or ['xxxx', ....]
'''
# 方案1: jd m站的搜索(基于搜索接口)
headers = {
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
'user-agent': get_random_pc_ua(),
'accept': '*/*',
# 'referer': 'https://so.m.jd.com/ware/search.action?keyword=b&area_ids=1,72,2819&sort_type=sort_totalsales15_desc&qp_disable=no&fdesc=%E5%8C%97%E4%BA%AC&t1=1529934870416',
'authority': 'so.m.jd.com',
# 'cookie': '3AB9D23F7A4B3C9B=SL4YPRE3Y4C627UCHFP4ROHI54TTYYJKLFSVROZQ57T7K3OUUKSYIVFUJKQHBAUPRANZOTPLCVC2TICTSJG6WEMUII; mba_muid=1523868445027-16c30fbc5f8c54c429; abtest=20180416164812814_35; visitkey=41587293677961039; shshshfpa=9e159581-c64f-e9f4-ad0c-8b6ced0d9f28-1525907842; shshshfpb=1a725fe3148b84c839f009c93fc261f2218f59c61e7f4e6c05af381826; retina=1; webp=1; TrackerID=GGwYSka4RvH3lm0ZwLoO2_qdMpBwRG39BvyBvQaJfzyN5cmdGt4lEMSqqJS-sbDqj4nAUX2HU4sVDGA8vl169D37w4EqceYcH6ysXv46kMVfvVdAPmSMV9LceeO3Cc6Z; whwswswws=; __jdc=122270672; subAbTest=20180604104024339_59; mobilev=html5; m_uuid_new=05C2D24B7D8FFDA8D4243A929A5C6234; intlIpLbsCountrySite=jd; mhome=1; cid=9; M_Identification=3721cafc2442fba2_42b6f64bb933019fdb27c9e124cfd67f; M_Identification_abtest=20180604104040270_32361722; M_Identification=3721cafc2442fba2_42b6f64bb933019fdb27c9e124cfd67f; so_eggsCount=1; warehistory="4764260,10658784927,"; wq_logid=1528080290.1936376147; __jdu=15238681432201722645210; __jda=122270672.15238681432201722645210.1523868143.1528255502.1529934182.18; __jdv=122270672|direct|-|none|-|1529934182053; cn=0; user-key=ecfc3673-cc54-43e2-96bd-fb7a7e700c32; ipLoc-djd=1-72-2799-0; shshshfp=a3b9323dfc6a675230170e6a43efcb81; USER_FLAG_CHECK=d9f73823a80c0305366f70a3b99b9ecb; sid=57ea016fe0ab4b04271e00f01d94d3b9; intlIpLbsCountryIp=60.177.32.78; autoOpenApp_downCloseDate_auto=1529934572240_21600000; wxa_level=1; PPRD_P=UUID.15238681432201722645210; sc_width=1280; wq_area=15_1213_0%7C3; __jdb=122270672.10.15238681432201722645210|18.1529934182; mba_sid=15299345705167145512031951538.7; __wga=1529934993217.1529934585585.1528080039013.1526716673573.6.3; shshshsID=7f3d94fa215b4e53b467f0d5e0563e9c_9_1529934993592',
}
params = (
('keyword', keyword[1]),
('datatype', '1'),
('callback', 'jdSearchResultBkCbA'),
('page', '1'),
('pagesize', '10'),
('ext_attr', 'no'),
('brand_col', 'no'),
('price_col', 'no'),
('color_col', 'no'),
('size_col', 'no'),
('ext_attr_sort', 'no'),
('merge_sku', 'yes'),
('multi_suppliers', 'yes'),
('area_ids', '1,72,2819'),
('sort_type', 'sort_totalsales15_desc'),
('qp_disable', 'no'),
('fdesc', '\u5317\u4EAC'),
# ('t1', '1529934992189'),
)
s_url = 'https://so.m.jd.com/ware/search._m2wq_list'
body = Requests.get_url_body(url=s_url,
headers=headers,
params=params,
ip_pool_type=self.ip_pool_type)
# self.lg.info(str(body))
if body == '':
return []
else:
try:
data = re.compile('jdSearchResultBkCbA\((.*)\)').findall(
body)[0]
except IndexError:
self.lg.error('获取jd的关键字数据时, IndexError! 出错关键字为{0}'.format(
(keyword[1])))
return []
'''问题在于编码中是\xa0之类的，当遇到有些 不用转义的\http之类的，则会出现以上错误。'''
data = deal_with_JSONDecodeError_about_value_invalid_escape(
json_str=data)
data = json_2_dict(json_str=data, logger=self.lg)
if data == {}:
self.lg.error('获取到的天猫搜索data为空dict! 出错关键字为{0}'.format(
keyword[1]))
return []
else:
# 注意拿到的数据如果是京东拼购则跳过
# pprint(data)
data = data.get('data', {}).get('searchm',
{}).get('Paragraph', [])
# pingou中字段'bp'不为空即为拼购商品，抓取时不抓取拼购商品, 即'pingou_price': item.get('pinGou', {}).get('bp', '') == ''
if data is not None and data != []:
goods_id_list = [
item.get('wareid', '') for item in data
if item.get('pinGou', {}).get('bp', '') == ''
]
return goods_id_list
else:
self.lg.error('获取到的data为空list, 请检查!')
return []
def _taobao_keywords_spider(self, **kwargs):
'''
抓取goods_id_list的数据，并存储
:param kwargs:
:return:
'''
goods_id_list = kwargs.get('goods_id_list')
keyword_id = kwargs.get('keyword_id')
goods_url_list = [
'https://item.taobao.com/item.htm?id=' + item
for item in goods_id_list
]
self.lg.info('即将开始抓取该关键字的goods, 请耐心等待...')
for item in goods_url_list: # item为goods_url
result = False # 用于判断某个goods是否被插入的参数
try:
goods_id = re.compile(r'id=(\d+)').findall(item)[0]
except IndexError:
self.lg.error('re获取goods_id时出错, 请检查!')
continue
if goods_id in self.db_existed_goods_id_list:
self.lg.info('该goods_id[{0}]已存在于db中!'.format(goods_id))
result = True # 原先存在的情况
pass
else:
taobao = TaoBaoLoginAndParse(logger=self.lg)
if self.add_goods_index % 20 == 0: # 每50次重连一次，避免单次长连无响应报错
self.lg.info('正在重置，并与数据库建立新连接中...')
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.lg.info('与数据库的新连接成功建立...')
if self.my_pipeline.is_connect_success:
goods_id = taobao.get_goods_id_from_url(item)
if goods_id == '':
self.lg.error('@@@ 原商品的地址为: {0}'.format(item))
continue
else:
self.lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (goods_id, str(self.add_goods_index)))
tt = taobao.get_goods_data(goods_id)
data = taobao.deal_with_data(goods_id=goods_id)
if data != {}:
data['goods_id'] = goods_id
data[
'goods_url'] = 'https://item.taobao.com/item.htm?id=' + str(
goods_id)
data['username'] = '******'
data['main_goods_id'] = None
# print('------>>>| 爬取到的数据为: ', data)
result = taobao.old_taobao_goods_insert_into_new_table(
data, pipeline=self.my_pipeline)
else:
pass
else: # 表示返回的data值为空值
self.lg.info('数据库连接失败，数据库可能关闭或者维护中')
pass
self.add_goods_index += 1
gc.collect()
sleep(TAOBAO_REAL_TIMES_SLEEP_TIME)
if result: # 仅处理goods_id被插入或者原先已存在于db中
self._insert_into_goods_id_and_keyword_middle_table(
goods_id=goods_id, keyword_id=keyword_id)
else:
pass
self.lg.info('该关键字的商品已经抓取完毕!')
return True
def _1688_keywords_spider(self, **kwargs):
'''
1688对应关键字的商品信息抓取存储
:param kwargs:
:return:
'''
goods_id_list = kwargs.get('goods_id_list')
keyword_id = kwargs.get('keyword_id')
goods_url_list = [
'https://detail.1688.com/offer/{0}.html'.format(item)
for item in goods_id_list
]
self.lg.info('即将开始抓取该关键字的goods, 请耐心等待...')
for item in goods_url_list:
result = False # 每次重置
try:
goods_id = re.compile('offer/(.*?).html').findall(item)[0]
except IndexError:
self.lg.error('re获取goods_id时出错, 请检查!')
continue
if goods_id in self.db_existed_goods_id_list:
self.lg.info('该goods_id[{0}]已存在于db中!'.format(goods_id))
result = True # 原先存在的情况
pass
else:
ali_1688 = ALi1688LoginAndParse(logger=self.lg)
if self.add_goods_index % 20 == 0: # 每50次重连一次，避免单次长连无响应报错
self.lg.info('正在重置，并与数据库建立新连接中...')
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.lg.info('与数据库的新连接成功建立...')
if self.my_pipeline.is_connect_success:
goods_id = ali_1688.get_goods_id_from_url(item)
if goods_id == '':
self.lg.error('@@@ 原商品的地址为: {0}'.format(item))
continue
else:
self.lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (goods_id, str(self.add_goods_index)))
tt = ali_1688.get_ali_1688_data(goods_id)
if tt.get('is_delete') == 1 and tt.get(
'before') is False: # 处理已下架的但是还是要插入的
# 下架的商品就pass
continue
data = ali_1688.deal_with_data()
if data != {}:
data['goods_id'] = goods_id
data[
'goods_url'] = 'https://detail.1688.com/offer/' + goods_id + '.html'
data['username'] = '******'
data['main_goods_id'] = None
result = ali_1688.old_ali_1688_goods_insert_into_new_table(
data=data, pipeline=self.my_pipeline)
else:
pass
else: # 表示返回的data值为空值
self.lg.info('数据库连接失败，数据库可能关闭或者维护中')
pass
self.add_goods_index += 1
try:
del ali_1688
except:
pass
gc.collect()
sleep(TAOBAO_REAL_TIMES_SLEEP_TIME)
if result: # 仅处理goods_id被插入或者原先已存在于db中
self._insert_into_goods_id_and_keyword_middle_table(
goods_id=goods_id, keyword_id=keyword_id)
else:
pass
self.lg.info('该关键字的商品已经抓取完毕!')
return True
def _tmall_keywords_spider(self, **kwargs):
'''
tmall对应关键字采集
:param kwargs:
:return:
'''
goods_id_list = kwargs.get('goods_id_list')
keyword_id = kwargs.get('keyword_id')
goods_url_list = [
'https:' + re.compile('&skuId=.*').sub('', item)
for item in goods_id_list
]
self.lg.info('即将开始抓取该关键字的goods, 请耐心等待...')
for item in goods_url_list: # item为goods_url
result = False # 用于判断某个goods是否被插入的参数
try:
goods_id = re.compile(r'id=(\d+)').findall(item)[0]
except IndexError:
self.lg.error('re获取goods_id时出错, 请检查!')
continue
if goods_id in self.db_existed_goods_id_list:
self.lg.info('该goods_id[{0}]已存在于db中!'.format(goods_id))
result = True # 原先存在的情况
pass
else:
tmall = TmallParse(logger=self.lg)
if self.add_goods_index % 20 == 0: # 每20次重连一次，避免单次长连无响应报错
self.lg.info('正在重置，并与数据库建立新连接中...')
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.lg.info('与数据库的新连接成功建立...')
if self.my_pipeline.is_connect_success:
goods_id = tmall.get_goods_id_from_url(item)
if goods_id == []:
self.lg.error('@@@ 原商品的地址为: {0}'.format(item))
continue
else:
self.lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (goods_id[1], str(self.add_goods_index)))
tt = tmall.get_goods_data(goods_id)
data = tmall.deal_with_data()
goods_id = goods_id[1]
if data != {}:
data['goods_id'] = goods_id
data['username'] = '******'
data['main_goods_id'] = None
data[
'goods_url'] = tmall._from_tmall_type_get_tmall_url(
type=data['type'], goods_id=goods_id)
if data['goods_url'] == '':
self.lg.error('该goods_url为空值! 此处跳过!')
continue
result = tmall.old_tmall_goods_insert_into_new_table(
data, pipeline=self.my_pipeline)
else:
pass
else:
self.lg.info('数据库连接失败，数据库可能关闭或者维护中')
pass
self.add_goods_index += 1
gc.collect()
sleep(TAOBAO_REAL_TIMES_SLEEP_TIME)
if result: # 仅处理goods_id被插入或者原先已存在于db中
self._insert_into_goods_id_and_keyword_middle_table(
goods_id=goods_id, keyword_id=keyword_id)
else:
pass
self.lg.info('该关键字的商品已经抓取完毕!')
return True
def _jd_keywords_spider(self, **kwargs):
'''
jd对应关键字采集
:param kwargs:
:return:
'''
goods_id_list = kwargs.get('goods_id_list')
keyword_id = kwargs.get('keyword_id')
'''初始地址可以直接用这个[https://item.jd.com/xxxxx.html]因为jd会给你重定向到正确地址, 存也可以存这个地址'''
# 所以这边jd就不分类存，一律存为常规商品site_id = 7
goods_url_list = [
'https://item.jd.com/{0}.html'.format(str(item))
for item in goods_id_list
]
self.lg.info('即将开始抓取该关键字的goods, 请耐心等待...')
for item in goods_url_list: # item为goods_url
result = False # 用于判断某个goods是否被插入db的参数
try:
goods_id = re.compile('\/(\d+)\.html').findall(item)[0]
except IndexError:
self.lg.error('re获取goods_id时出错, 请检查!')
continue
if goods_id in self.db_existed_goods_id_list:
self.lg.info('该goods_id[{0}]已存在于db中!'.format(goods_id))
result = True # 原先存在的情况
pass
else:
jd = JdParse(logger=self.lg)
if self.add_goods_index % 20 == 0: # 每20次重连一次，避免单次长连无响应报错
self.lg.info('正在重置，并与数据库建立新连接中...')
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.lg.info('与数据库的新连接成功建立...')
if self.my_pipeline.is_connect_success:
goods_id = jd.get_goods_id_from_url(item)
if goods_id == []:
self.lg.error('@@@ 原商品的地址为: {0}'.format(item))
continue
else:
self.lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (goods_id[1], str(self.add_goods_index)))
tt = jd.get_goods_data(goods_id)
data = jd.deal_with_data(goods_id)
goods_id = goods_id[1]
if data != {}:
data['goods_id'] = goods_id
data['username'] = '******'
data['main_goods_id'] = None
data['goods_url'] = item
result = jd.old_jd_goods_insert_into_new_table(
data, self.my_pipeline)
else:
pass
else:
self.lg.info('数据库连接失败，数据库可能关闭或者维护中')
pass
self.add_goods_index += 1
sleep(1)
try:
del jd
except:
pass
gc.collect()
if result: # 仅处理goods_id被插入或者原先已存在于db中
self._insert_into_goods_id_and_keyword_middle_table(
goods_id=goods_id, keyword_id=keyword_id)
else:
pass
self.lg.info('该关键字的商品已经抓取完毕!')
return True
def _insert_into_goods_id_and_keyword_middle_table(self, **kwargs):
'''
数据插入goods_id_and_keyword_middle_table
:param kwargs:
:return:
'''
goods_id = str(kwargs['goods_id'])
keyword_id = int(kwargs['keyword_id'])
# self.lg.info(goods_id)
# self.lg.info(keyword_id)
result = False
'''先判断中间表goods_id_and_keyword_middle_table是否已新增该关键字的id'''
# 注意非完整sql语句不用r'', 而直接''
try:
_ = self.my_pipeline._select_table(sql_str=kw_select_str_3,
params=(goods_id, ))
_ = [i[0] for i in _]
# pprint(_)
except Exception:
self.lg.error(
'执行中间表goods_id_and_keyword_middle_table是否已新增该关键字的id的sql语句时出错, 跳过给商品加keyword_id'
)
return result
if keyword_id not in _:
params = (
goods_id,
keyword_id,
)
self.lg.info('------>>>| 正在插入keyword_id为{0}, goods_id为{1}'.format(
params[1], params[0]))
result = self.my_pipeline._insert_into_table_2(
sql_str=self.add_keyword_id_for_goods_id_sql_str,
params=params,
logger=self.lg)
return result
def _add_keyword_2_db_from_excel_file(self):
'''
从excel插入新关键字到db
:return:
'''
excel_file_path = '/Users/afa/Desktop/2018-07-18-淘宝phone-top20万.xlsx'
self.lg.info('正在读取{0}, 请耐心等待...'.format(excel_file_path))
try:
excel_result = read_info_from_excel_file(
excel_file_path=excel_file_path)
except Exception:
self.lg.error('遇到错误:', exc_info=True)
return False
self.lg.info('读取完毕!!')
self.lg.info('正在读取db中原先的keyword...')
db_keywords = self.my_pipeline._select_table(sql_str=kw_select_str_4)
db_keywords = [i[0] for i in db_keywords]
self.lg.info('db keywords 读取完毕!')
for item in excel_result:
keyword = item.get('关键词', None)
if not keyword:
continue
if keyword in db_keywords:
self.lg.info('该关键字{0}已经存在于db中...'.format(keyword))
continue
self.lg.info('------>>>| 正在存储关键字 {0}'.format(keyword))
self.my_pipeline._insert_into_table_2(sql_str=kw_insert_str_2,
params=(str(keyword), 0),
logger=self.lg)
self.lg.info('全部写入完毕!')
return True
def __del__(self):
try:
del self.lg
del self.msg
del self.my_pipeline
except:
pass
try:
del self.db_existed_goods_id_list
except:
pass
gc.collect()
def get_spike_hour_goods_info(self):
'''
模拟构造得到data的url，得到近期所有的限时秒杀商品信息
:return:
'''
tab_id_list = [11, 12, 13, 21, 22, 23, 31, 32, 33] # notice
for tab_id in tab_id_list:
for index in range(0, 50):
tmp_url = 'https://m.juanpi.com/act/timebuy-xrgoodslist?tab_id={0}&page={1}'.format(
str(tab_id), str(index))
print('待抓取的限时秒杀地址为: ', tmp_url)
data = MyRequests.get_url_body(url=tmp_url,
headers=self.headers)
if data == '': break
try:
data = json.loads(data)
data = data.get('data', {})
# print(data)
except:
break
if data.get('goodslist') == []:
print('tab_id={0}, page={1}的goodslist为[], 此处跳过'.format(
tab_id, index))
break
else:
data = data.get('goodslist', [])
# print(data)
if data == []:
print('goodslist为[], 此处跳过')
pass
else:
miaosha_goods_list = self.get_miaoshao_goods_info_list(
data=data)
print(miaosha_goods_list)
juanpi = JuanPiParse()
my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
if my_pipeline.is_connect_success:
sql_str = r'select goods_id, miaosha_time, tab_id, page from dbo.juanpi_xianshimiaosha where site_id=15'
if my_pipeline._select_table(
sql_str=sql_str) is None:
db_goods_id_list = []
else:
db_goods_id_list = [
item[0] for item in list(
my_pipeline._select_table(
sql_str=sql_str))
]
for item in miaosha_goods_list:
if item.get('goods_id',
'') in db_goods_id_list:
print('该goods_id已经存在于数据库中, 此处跳过')
pass
else:
tmp_url = 'http://shop.juanpi.com/deal/' + item.get(
'goods_id')
juanpi.get_goods_data(
goods_id=item.get('goods_id'))
goods_data = juanpi.deal_with_data()
if goods_data == {}: # 返回的data为空则跳过
pass
else: # 否则就解析并插入
goods_data['stock_info'] = item.get(
'stock_info')
goods_data['goods_id'] = item.get(
'goods_id')
goods_data['spider_url'] = tmp_url
goods_data['username'] = '******'
goods_data['price'] = item.get(
'price') # 秒杀前的原特价
goods_data['taobao_price'] = item.get(
'taobao_price') # 秒杀价
goods_data['sub_title'] = item.get(
'sub_title', '')
goods_data['miaosha_time'] = item.get(
'miaosha_time')
goods_data[
'miaosha_begin_time'], goods_data[
'miaosha_end_time'] = get_miaosha_begin_time_and_miaosha_end_time(
miaosha_time=item.get(
'miaosha_time'))
goods_data['tab_id'] = tab_id
goods_data['page'] = index
# print(goods_data)
juanpi.insert_into_juanpi_xianshimiaosha_table(
data=goods_data,
pipeline=my_pipeline)
sleep(.4) # 短暂sleep下避免出错跳出
sleep(.65)
else:
pass
try:
del juanpi
except:
pass
gc.collect()
class TaoBaoWeiTaoShareParse(AsyncCrawler):
def __init__(
self,
logger=None,
*params,
**kwargs,
):
AsyncCrawler.__init__(
self,
*params,
**kwargs,
logger=logger,
ip_pool_type=IP_POOL_TYPE,
log_print=True,
log_save_path=MY_SPIDER_LOGS_PATH + '/淘宝/微淘/',
)
self._set_headers()
self.msg = ''
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
def _set_headers(self):
self.headers = {
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9',
'user-agent': get_random_pc_ua(),
'accept': '*/*',
'referer':
'https://market.m.taobao.com/apps/market/content/index.html?ut_sk=1.VmYadv9DXkkDAFZm0VV4JBNq_21380790_1527298517854.Copy.33¶ms=%7B%22csid%22%3A%2254a52aea54b7c29d289a0e36b2bf2f51%22%7D&wh_weex=true&contentId=200668154273&source=weitao_2017_nocover&data_prefetch=true&suid=3D763077-A7BF-43BC-9092-C17B35E896F9&wx_navbar_transparent=false&wx_navbar_hidden=false&sourceType=other&un=bc80c9f324602d31384c4a342af87869&share_crt_v=1&sp_tk=o6R2Q0ZDMHZvaDBlS6Ok&cpp=1&shareurl=true&spm=a313p.22.68.948703884987&short_name=h.WAjz5RP&app=chrome',
'authority': 'h5api.m.taobao.com',
# cookie得注释掉, 否则为非法请求
# 'cookie': ''
}
async def _get_target_url_and_content_id_and_csid(self, taobao_short_url):
'''
根据给与的淘宝分享短链接, 得到target_url, content_id, csid
:param taobao_short_url:
:return:
'''
if re.compile(r'contentId').findall(taobao_short_url) != []:
# 先检查是否已为目标地址
target_url = taobao_short_url
else:
body = Requests.get_url_body(
url=taobao_short_url,
headers=self.headers,
ip_pool_type=self.ip_pool_type,
)
# self.lg.info(str(body))
if body == '':
self.lg.error('获取到的body为空值, 出错短链接地址: {0}'.format(
str(taobao_short_url)))
return '', '', ''
try:
# 获取短连接的目标地址
target_url = re.compile('var url = \'(.*?)\';').findall(
body)[0]
self.lg.info('获取到原始连接: {}'.format(target_url))
except IndexError:
self.lg.error('获取target_url的时候IndexError! 出错短链接地址: {0}'.format(
str(taobao_short_url)))
target_url = ''
try:
# 得到contentId
content_id = re.compile('contentId=(\d+)').findall(target_url)[0]
self.lg.info(content_id)
except IndexError:
self.lg.error('获取content_id时IndexError! 出错短链接地址: {0}'.format(
str(taobao_short_url)))
content_id = ''
try:
# 得到csid
csid = re.compile('csid%22%3A%22(.*?)%22%7D').findall(
target_url)[0]
# self.lg.info(csid)
except IndexError:
self.lg.info('此链接为无csid情况的链接...')
# self.lg.error('获取csid时IndexError! 出错短链接地址: {0}'.format(str(taobao_short_url)))
csid = ''
try:
tag_name = re.compile('tagName=(.*?)&').findall(target_url)[0]
except IndexError:
tag_name = ''
try:
tag = re.compile('tag=(.*?)&').findall(target_url)[0]
except IndexError:
tag = ''
return target_url, content_id, csid, tag_name, tag
async def _get_api_body(self, taobao_short_url):
'''
获取该页面api返回的文件
:param taobao_short_url:
:return: body 类型 str
'''
base_url = 'https://h5api.m.taobao.com/h5/mtop.taobao.beehive.detail.contentservicenewv2/1.0/'
try:
target_url, content_id, csid, tag_name, tag = await self._get_target_url_and_content_id_and_csid(
taobao_short_url)
except ValueError:
self.lg.error('遇到ValueError!', exc_info=True)
return ''
if content_id == '' and csid == '': # 异常退出
return ''
data = dumps({
'businessSpm': '',
'business_spm': '',
'contentId': content_id,
'params': dumps({
"csid": csid,
}) if csid != '' else '', # 没有csid时，就不传这个参数
'source': 'weitao_2017_nocover',
'tagName': tag_name, # 这个是我自己额外加的用于获取tags的api接口
'track_params': '',
'type': 'h5',
})
params = {
'AntiCreep': 'true',
'AntiFlood': 'true',
'api': 'mtop.taobao.beehive.detail.contentservicenewv2',
'appKey': '12574478',
'callback': 'mtopjsonp1',
# 'data': '{"contentId":"200668154273","source":"weitao_2017_nocover","type":"h5","params":"{\\"csid\\":\\"54a52aea54b7c29d289a0e36b2bf2f51\\"}","businessSpm":"","business_spm":"","track_params":""}',
'data': data,
'dataType': 'jsonp',
'data_2': '',
'jsv': '2.4.11',
# 'sign': 'e8cb623e58bab0ceb10e9edffdacd5b2',
# 't': '1527300457911',
'type': 'jsonp',
'v': '1.0'
}
# TODO 新版
# 必传参数(无cookies, sign正确也无结果!)
# 而且登录后的cookies, 但是继续采集, tb会报: 亲,访问被拒绝了哦!请检查是否使用了代理软件或VPN哦~
result_1 = await get_taobao_sign_and_body(
base_url=base_url,
headers=self.headers,
params=params,
data=data,
logger=self.lg,
ip_pool_type=self.ip_pool_type)
_m_h5_tk = result_1[0]
if _m_h5_tk == '':
self.lg.error(
'获取到的_m_h5_tk为空str! 出错短链接地址: {0}'.format(taobao_short_url))
# 带上_m_h5_tk, 和之前请求返回的session再次请求得到需求的api数据
result_2 = await get_taobao_sign_and_body(
base_url=base_url,
headers=self.headers,
params=params,
data=data,
_m_h5_tk=_m_h5_tk,
session=result_1[1],
logger=self.lg,
ip_pool_type=self.ip_pool_type)
body = result_2[2]
return body
async def _deal_with_api_info(self, taobao_short_url):
'''
处理api返回的信息, 并结构化存储
:param taobao_short_url:
:return:
'''
data = await self._get_api_body(taobao_short_url)
if data == '':
self.lg.error('获取到的api数据为空值!')
return {}
try:
data = re.compile('mtopjsonp1\((.*)\)').findall(data)[0]
except IndexError:
self.lg.error(
're获取主信息失败, IndexError, 出错短链接地址:{0}'.format(taobao_short_url))
data = {}
try:
data = await self._wash_api_info(loads(data))
# pprint(data)
except Exception as e:
self.lg.error('出错短链接地址:{0}'.format(taobao_short_url))
self.lg.exception(e)
return {}
article = await self._get_article(data=data,
taobao_short_url=taobao_short_url)
pprint(article)
if article != {} and article.get('share_id', '') != '':
'''采集该文章推荐的商品'''
await self._crawl_and_save_these_goods(
goods_url_list=article.get('goods_url_list', []))
'''存储该文章info'''
await self._save_this_article(article=article)
return True
else:
self.lg.info('获取到的文章失败! article为空dict!')
return False
async def _crawl_and_save_these_goods(self, goods_url_list):
'''
采集该文章推荐的商品
:param goods_url_list:
:return:
'''
sql_str = 'select GoodsID from dbo.GoodsInfoAutoGet where SiteID=1 or SiteID=3 or SiteID=4 or SiteID=6'
try:
result = self.my_pipeline._select_table(sql_str=sql_str)
except TypeError:
result = []
self.lg.info('即将开始抓取该文章的goods, 请耐心等待...')
index = 1
db_all_goods_id_list = [item[0] for item in result]
for item in goods_url_list:
try:
goods_id = re.compile(r'id=(\d+)').findall(
item.get('goods_url', ''))[0]
except IndexError:
self.lg.error('re获取goods_id时出错, 请检查!')
continue
if goods_id in db_all_goods_id_list:
self.lg.info('该goods_id[{0}]已存在于db中!'.format(goods_id))
continue
else:
taobao = TaoBaoLoginAndParse(logger=self.lg)
if index % 50 == 0: # 每50次重连一次，避免单次长连无响应报错
self.lg.info('正在重置，并与数据库建立新连接中...')
self.my_pipeline = SqlServerMyPageInfoSaveItemPipeline()
self.lg.info('与数据库的新连接成功建立...')
if self.my_pipeline.is_connect_success:
goods_id = taobao.get_goods_id_from_url(
item.get('goods_url', ''))
if goods_id == '':
self.lg.info('@@@ 原商品的地址为: {0}'.format(
item.get('goods_url', '')))
continue
else:
self.lg.info(
'------>>>| 正在更新的goods_id为(%s) | --------->>>@ 索引值为(%s)'
% (goods_id, str(index)))
tt = taobao.get_goods_data(goods_id)
data = taobao.deal_with_data(goods_id=goods_id)
if data != {}:
data['goods_id'] = goods_id
data[
'goods_url'] = 'https://item.taobao.com/item.htm?id=' + str(
goods_id)
data['username'] = '******'
data['main_goods_id'] = None
# print('------>>>| 爬取到的数据为: ', data)
taobao.old_taobao_goods_insert_into_new_table(
data, pipeline=self.my_pipeline)
else:
pass
else: # 表示返回的data值为空值
self.lg.info('数据库连接失败，数据库可能关闭或者维护中')
pass
index += 1
gc.collect()
await asyncio.sleep(TAOBAO_REAL_TIMES_SLEEP_TIME)
self.lg.info('该文章的商品已经抓取完毕!')
return True
async def _save_this_article(self, article):
'''
存储该文章info
:param article:
:return:
'''
sql_str = 'select share_id from dbo.daren_recommend'
db_share_id = [
j[0] for j in list(self.my_pipeline._select_table(sql_str=sql_str))
]
if article.get('share_id') in db_share_id:
self.lg.info('该share_id({})已存在于数据库中, 此处跳过!'.format(
article.get('share_id', '')))
return True
else:
self.lg.info('即将开始存储该文章...')
if self.my_pipeline.is_connect_success:
params = await self._get_db_insert_params(item=article)
# pprint(params)
sql_str = r'insert into dbo.daren_recommend(nick_name, head_url, profile, share_id, gather_url, title, comment_content, share_goods_base_info, div_body, create_time, site_id) values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)'
self.my_pipeline._insert_into_table_2(sql_str=sql_str,
params=params,
logger=self.lg)
return True
else:
self.lg.error('db连接失败!存储失败! 出错article地址:{0}'.format(
article.get('gather_url', '')))
return False
async def _get_db_insert_params(self, item):
params = (
item['nick_name'],
item['head_url'],
item['profile'],
item['share_id'],
item['gather_url'],
item['title'],
item['comment_content'],
# dumps(item['share_img_url_list'], ensure_ascii=False),
# dumps(item['goods_id_list'], ensure_ascii=False),
dumps(item['share_goods_base_info'], ensure_ascii=False),
item['div_body'],
item['create_time'],
item['site_id'],
)
return params
async def _get_article(self, data, taobao_short_url):
'''
得到该文章的需求信息
:param data:
:return:
'''
try:
nick_name = data.get('data', {}).get('models',
{}).get('account',
{}).get('name', '')
assert nick_name != '', '获取到的nick_name为空值!'
head_url = await self._get_head_url(data=data)
# 推荐人的简介或者个性签名
tmp_profile = data.get('data',
{}).get('models',
{}).get('account',
{}).get('accountDesc', '')
profile = tmp_profile if tmp_profile is not None else ''
title = self._wash_sensitive_info(
data.get('data', {}).get('models',
{}).get('content',
{}).get('title', ''))
# self.lg.info(title)
assert title != '', '获取到的title为空值!请检查!'
# 达人的评论，可用于荐好首页的文字信息
comment_content = self._wash_sensitive_info(
data.get('data', {}).get('models',
{}).get('content',
{}).get('summary', ''))
'''微淘抓包的接口: 图片，商品依次对应'''
tmp_goods_list = data.get('data', {}).get('models', {}).get(
'content', {}).get('drawerList', [])
assert tmp_goods_list != [], '获取到的goods_id_list为空list! 请检查! 可能该文章推荐商品为空[]!'
share_img_url_list = [{
'img_url':
'https:' + item.get('itemImages', [])[0].get('picUrl', '')
} for item in tmp_goods_list]
goods_id_list = [{
'goods_id': item.get('itemId', '')
} for item in tmp_goods_list]
# 由于微淘的图片跟商品信息一一对应，so直接存一个字段, 清除重复的推荐商品(list去重，并保持原来的顺序)
share_goods_base_info = list_duplicate_remove([{
'img_url':
'https:' + item.get('itemImages', [])[0].get('picUrl', ''),
'goods_id':
item.get('itemId', ''),
} for item in tmp_goods_list])
# div_body
div_body = self._wash_sensitive_info(
await self._get_div_body(rich_text=data.get('data', {}).get(
'models', {}).get('content', {}).get('richText', [])))
# print(div_body)
# 待抓取的商品地址, 统一格式为淘宝的，如果是tmall地址, 浏览器会重定向到天猫
goods_url_list = [{
'goods_url':
'https://item.taobao.com/item.htm?id=' +
item.get('goods_id', '')
} for item in goods_id_list]
_ = (
await
self._get_target_url_and_content_id_and_csid(taobao_short_url))
gather_url = _[0]
share_id = _[1] # 即content_id
create_time = get_shanghai_time()
site_id = 2 # 淘宝微淘
# tags 额外的文章地址
tags = await self._get_tags(data=data)
# pprint(tags)
except Exception as e:
self.lg.error('出错短链接地址:{0}'.format(taobao_short_url))
self.lg.exception(e)
return {}
article = WellRecommendArticle()
article['nick_name'] = nick_name
article['head_url'] = head_url
article['profile'] = profile
article['share_id'] = share_id
article['title'] = title
article['comment_content'] = comment_content
article['share_img_url_list'] = share_img_url_list
article['goods_id_list'] = goods_id_list
article['div_body'] = div_body
article['gather_url'] = gather_url
article['create_time'] = create_time
article['site_id'] = site_id
article['goods_url_list'] = goods_url_list
article['tags'] = tags
article['share_goods_base_info'] = share_goods_base_info
return article
async def _get_head_url(self, data):
'''
获取头像地址
:param data:
:return:
'''
tmp_head_url = data.get('data',
{}).get('models',
{}).get('account',
{}).get('accountPic',
{}).get('picUrl', '')
if tmp_head_url != '':
if re.compile('http').findall(tmp_head_url) == []:
head_url = 'https:' + tmp_head_url
else:
head_url = tmp_head_url
else:
head_url = ''
return head_url
def _wash_sensitive_info(self, data):
'''
清洗敏感信息
:param data:
:return:
'''
data = re.compile('淘宝|天猫|taobao|tmall|TAOBAO|TMALL').sub('', data)
return data
async def _get_tags(self, data):
'''
获得额外文章的信息
:param data:
:return:
'''
tags = data.get('data', {}).get('models', {}).get('tags', [])
tags = [{
'url': unquote(item.get('url', '')),
'name': item.get('name', ''),
} for item in tags]
return tags
async def _get_div_body(self, rich_text):
'''
处理得到目标文章
:param rich_text: 待处理的原文章
:return:
'''
div_body = ''
for item in rich_text:
if item.get('resource') is None:
continue
for resource_item in item.get('resource', []): # 可能是多个
# resource = item.get('resource', [])[0]
text = resource_item.get('text', '') # 介绍的文字
picture = resource_item.get('picture', {}) # 介绍的图片
_goods = resource_item.get('item', {}) # 一个商品
if text != '':
text = '<p style="height:auto;width:100%">' + text + '</p>' + '<br>'
div_body += text
continue
if picture != {}:
# 得到该图片的宽高，并得到图片的<img>标签
_ = r'<img src="{0}" style="height:{1}px;width:{2}px;"/>'.format(
'https:' + picture.get('picUrl', ''),
picture.get('picHeight', ''),
picture.get('picWidth', ''))
_ = _ + '<br>'
div_body += _
continue
if _goods != {}:
_hiden_goods_id = r'<p style="display:none;">此处有个商品[goods_id]: {0}</p>'.format(
_goods.get('itemId', '')) + '<br>'
div_body += _hiden_goods_id
continue
return '<div>' + div_body + '</div>' if div_body != '' else ''
async def _wash_api_info(self, data):
'''
清洗接口
:param data:
:return:
'''
try:
data['data']['assets'] = []
data['data']['models']['config'] = {}
data['data']['modules'] = []
except Exception:
pass
return data
def __del__(self):
try:
del self.lg
del self.msg
del self.my_pipeline
except:
pass
gc.collect()
class CommentRealTimeUpdateSpider(object):
def __init__(self):
self._set_logger()
self.msg = ''
self.debugging_api = self._init_debugging_api()
self._set_func_name_dict()
self.sql_str = cm_update_str_1
if self._init_debugging_api().get(2):
self.my_lg.info('初始化 1688 phantomjs中...')
self.ali_1688 = ALi1688CommentParse(logger=self.my_lg)
if self._init_debugging_api().get(3) is True \
or self._init_debugging_api().get(4) is True\
or self._init_debugging_api().get(6) is True:
self.my_lg.info('初始化 天猫 phantomjs中...')
self.tmall = TmallCommentParse(logger=self.my_lg)
if self._init_debugging_api().get(7) is True \
or self._init_debugging_api().get(8) is True\
or self._init_debugging_api().get(9) is True\
or self._init_debugging_api().get(10) is True:
self.my_lg.info('初始化 京东 phantomjs中...')
self.jd = JdCommentParse(logger=self.my_lg)
def _set_logger(self):
self.my_lg = set_logger(log_file_name=MY_SPIDER_LOGS_PATH +
'/all_comment/实时更新/' +
str(get_shanghai_time())[0:10] + '.txt',
console_log_level=INFO,
file_log_level=ERROR)
def _init_debugging_api(self):
'''
用于设置待抓取的商品的site_id
:return: dict
'''
return {
1: True,
2: True,
3: True,
4: True,
6: True,
7: True,
8: True,
9: True,
10: True,
11: False,
12: False,
13: False,
25: False,
}
def _set_func_name_dict(self):
self.func_name_dict = {
'taobao': 'self._update_taobao_comment({0}, {1}, {2})',
'ali': 'self._update_ali_1688_comment({0}, {1}, {2})',
'tmall': 'self._update_tmall_comment({0}, {1}, {2})',
'jd': 'self._update_jd_comment({0}, {1}, {2})',
'zhe_800': 'self._update_zhe_800_comment({0}, {1}, {2})',
'juanpi': 'self._update_juanpi_comment({0}, {1}, {2})',
'pinduoduo': 'self._update_pinduoduo_comment({0}, {1}, {2})',
'vip': 'self._update_vip_comment({0}, {1}, {2})',
}
def _just_run(self):
while True:
#### 更新数据
self._comment_pipeline = SqlServerMyPageInfoSaveItemPipeline()
# and GETDATE()-a.modify_time>1
try:
result = list(
self._comment_pipeline._select_table(
sql_str=cm_select_str_1, logger=self.my_lg))
except TypeError:
self.my_lg.error('TypeError错误, 原因数据库连接失败...(可能维护中)')
continue
self.my_lg.info('------>>> 下面是数据库返回的所有符合条件的goods_id <<<------')
self.my_lg.info(str(result))
self.my_lg.info(
'--------------------------------------------------------')
self.my_lg.info('待更新个数: {0}'.format(len(result)))
self.my_lg.info('即将开始实时更新数据, 请耐心等待...'.center(100, '#'))
# 1.淘宝 2.阿里 3.天猫 4.天猫超市 5.聚划算 6.天猫国际 7.京东 8.京东超市 9.京东全球购 10.京东大药房 11.折800 12.卷皮 13.拼多多 14.折800秒杀 15.卷皮秒杀 16.拼多多秒杀 25.唯品会
for index, item in enumerate(
result): # item: ('xxxx':goods_id, 'y':site_id)
if not self.debugging_api.get(item[1]):
self.my_lg.info('api为False, 跳过! 索引值[%s]' % str(index))
continue
if index % 20 == 0:
try:
del self._comment_pipeline
except:
pass
self._comment_pipeline = SqlServerMyPageInfoSaveItemPipeline(
)
switch = {
1: self.func_name_dict.get('taobao'), # 淘宝
2: self.func_name_dict.get('ali'), # 阿里1688
3: self.func_name_dict.get('tmall'), # 天猫
4: self.func_name_dict.get('tmall'), # 天猫超市
6: self.func_name_dict.get('tmall'), # 天猫国际
7: self.func_name_dict.get('jd'), # 京东
8: self.func_name_dict.get('jd'), # 京东超市
9: self.func_name_dict.get('jd'), # 京东全球购
10: self.func_name_dict.get('jd'), # 京东大药房
11: self.func_name_dict.get('zhe_800'), # 折800
12: self.func_name_dict.get('juanpi'), # 卷皮
13: self.func_name_dict.get('pinduoduo'), # 拼多多
25: self.func_name_dict.get('vip'), # 唯品会
}
# 动态执行
exec_code = compile(
switch[item[1]].format(index, item[0], item[1]), '',
'exec')
exec(exec_code)
sleep(1.1)
def _update_taobao_comment(self, index, goods_id, site_id):
'''
处理淘宝的商品comment
:param index: 索引
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
self.my_lg.info('------>>>| 淘宝\t\t索引值(%s)' % str(index))
taobao = TaoBaoCommentParse(logger=self.my_lg)
_r = taobao._get_comment_data(goods_id=str(goods_id))
if _r.get('_comment_list', []) != []:
if self._comment_pipeline.is_connect_success:
self._comment_pipeline._update_table_2(
sql_str=self.sql_str,
params=self._get_db_update_params(item=_r),
logger=self.my_lg)
else:
self.my_lg.info('该商品_comment_list为空list! 此处跳过!')
try:
del taobao
except:
self.my_lg.info('del taobao失败!')
gc.collect()
else:
pass
def _update_ali_1688_comment(self, index, goods_id, site_id):
'''
处理阿里1688的商品comment
:param index: 索引
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
self.my_lg.info('------>>>| 阿里1688\t\t索引值(%s)' % str(index))
if index % 5 == 0:
try:
del self.ali_1688
except:
self.my_lg.error('del ali_1688失败!')
gc.collect()
self.ali_1688 = ALi1688CommentParse(logger=self.my_lg)
_r = self.ali_1688._get_comment_data(goods_id=goods_id)
if _r.get('_comment_list', []) != []:
if self._comment_pipeline.is_connect_success:
self._comment_pipeline._update_table_2(
sql_str=self.sql_str,
params=self._get_db_update_params(item=_r),
logger=self.my_lg)
else:
self.my_lg.info('该商品_comment_list为空list! 此处跳过!')
else:
pass
def _update_tmall_comment(self, index, goods_id, site_id):
'''
处理tmall商品的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
self.my_lg.info('------>>>| 天猫\t\t索引值(%s)' % str(index))
if site_id == 3:
_type = 0
elif site_id == 4:
_type = 1
elif site_id == 6:
_type = 2
else:
return None
if index % 5 == 0:
try:
del self.tmall
except:
self.my_lg.info('del tmall失败!')
gc.collect()
self.tmall = TmallCommentParse(logger=self.my_lg)
_r = self.tmall._get_comment_data(type=_type,
goods_id=str(goods_id))
if _r.get('_comment_list', []) != []:
if self._comment_pipeline.is_connect_success:
self._comment_pipeline._update_table_2(
sql_str=self.sql_str,
params=self._get_db_update_params(item=_r),
logger=self.my_lg)
else:
self.my_lg.info('该商品_comment_list为空list! 此处跳过!')
gc.collect()
else:
pass
def _update_jd_comment(self, index, goods_id, site_id):
'''
处理京东商品的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
self.my_lg.info('------>>>| 京东\t\t索引值(%s)' % str(index))
if index % 5 == 0:
try:
del self.jd
except:
self.my_lg.info('del jd失败!')
gc.collect()
self.jd = JdCommentParse(logger=self.my_lg)
_r = self.jd._get_comment_data(goods_id=str(goods_id))
if _r.get('_comment_list', []) != []:
if self._comment_pipeline.is_connect_success:
self._comment_pipeline._update_table_2(
sql_str=self.sql_str,
params=self._get_db_update_params(item=_r),
logger=self.my_lg)
else:
self.my_lg.info('该商品_comment_list为空list! 此处跳过!')
else:
pass
def _update_zhe_800_comment(self, index, goods_id, site_id):
'''
处理折800商品的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
pass
else:
pass
def _update_juanpi_comment(self, index, goods_id, site_id):
'''
处理卷皮商品的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
pass
else:
pass
def _update_pinduoduo_comment(self, index, goods_id, site_id):
'''
处理拼多多的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
pass
else:
pass
def _update_vip_comment(self, index, goods_id, site_id):
'''
处理唯品会的comment
:param index:
:param goods_id:
:param site_id:
:return:
'''
if self.debugging_api.get(site_id):
pass
else:
pass
def _get_db_update_params(self, item):
return (
item['modify_time'],
dumps(item['_comment_list'], ensure_ascii=False),
item['goods_id'],
)
def __del__(self):
try:
del self.my_lg
del self.msg
del self.debugging_api
except:
pass
try:
del self._comment_pipeline
except:
pass
try:
del self.tmall
except:
pass
gc.collect()
