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scan_task.py
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import datetime
import time
import uuid
import queue
from configuration_file import (
StartUrls, OneTask, DetailTag, ListTag, KeyWordTag, BestSellersTag, NewReleasesTag, RedisSpace, WaitSec, SearchBox,
Temp, ProxyIpFailTimes)
from store import RedisCluster, AmazonStorePro, AmazonStore
from post_data import PostData
from get_proxy_ip import get_proxy_ip
RedisA = RedisCluster()
Que = queue.Queue()
def update_proxy_ip(que):
try:
for n in range(que.qsize()):
que.get_nowait()
except queue.Empty:
pass
for ip_proxy in get_proxy_ip():
que.put({'ip': ip_proxy, 'num': ProxyIpFailTimes})
print('update proxy ip')
def get_last_id(table):
store = AmazonStorePro()
sql_select = "select scgs_id from {} order by scgs_id desc LIMIT 1".format(table)
row = store.execute_sql(sql_select)
if row:
row_id = row[0]['scgs_id']
print(row_id)
store.close()
def change_status(status, task_id):
if Temp:
pd = PostData()
pd.update(wtcPlatform="amazon", wtcStatus=status, wtcId=task_id)
else:
store = AmazonStorePro()
sql_update_status = "update crawler_wcs_task_center set wtc_status=%s, wtc_crawl_time=now() where wtc_id=%s"
store.execute_sql(sql_update_status, status, task_id)
store.close()
def scan_database():
print(time.strftime("%Y-%m-%d %H:%M:%S"))
flag = False
store = AmazonStorePro()
pd = PostData()
if Temp:
rows_0 = pd.select(wtcPlatform="amazon", wtcStatus=0, limit=1)
else:
sql_select = (
"select wtc_id, wtc_task_type, wtc_task_frequency, wtc_task_period, wtc_task_info,wtc_task_category,"
"wtc_task_product_id, wtc_task_site from crawler_wcs_task_center where wtc_status=%s and wtc_platform=%s"
"and wtc_is_delete=%s limit 1")
rows_0 = store.execute_sql(sql_select, 0, 'amazon', 0)
if rows_0:
row_dct = rows_0[0]
print(row_dct)
if Temp:
task_id = row_dct['wtcId']
try:
task_type = row_dct['wtcTaskType']
task_frequency = row_dct['wtcTaskFrequency']
task_period = row_dct['wtcTaskPeriod']
task_info = row_dct['wtcTaskInfo']
task_category = row_dct['wtcTaskCategory']
task_asin = row_dct['wtcTaskProductId']
task_site = row_dct['wtcTaskSite']
except KeyError:
print("KeyError")
change_status(-1, task_id)
return
else:
task_id = row_dct['wtc_id']
task_type = row_dct['wtc_task_type']
task_frequency = row_dct['wtc_task_frequency']
task_period = row_dct['wtc_task_period']
task_info = row_dct['wtc_task_info']
task_category = row_dct['wtc_task_category']
task_asin = row_dct['wtc_task_product_id']
task_site = row_dct['wtc_task_site']
if task_type == DetailTag: # 1
if not (task_asin and task_site):
change_status(-1, task_id)
return
task_asin = task_asin.strip()
task_site = task_site.strip()
_uuid = str(uuid.uuid5(uuid.NAMESPACE_DNS, task_asin + task_site)).replace('-', '')
product_url = 'https://www.amazon.{}/dp/{}'.format(task_site, task_asin)
amazon_store = AmazonStore()
amazon_store.insert_wcs_task_relevance(_uuid, 0, product_url, task_id, DetailTag, '', 'amazon')
amazon_store.close()
page_url = 'https://www.amazon.{}/dp/{}'.format(task_site, task_asin)
elif task_type == KeyWordTag: # 3
if not (task_site and task_info) or (task_info.strip().startswith('http')):
change_status(-1, task_id)
return
task_site = task_site.strip()
task_info = task_info.strip()
keyword = '+'.join(task_info.split())
if task_category:
task_category = task_category.strip()
search_box = SearchBox.get(task_category, None)
if search_box:
page_url = 'https://www.amazon.{}/s/?url=search-alias%3D{}&field-keywords={}'.format(task_site, search_box, keyword)
else:
change_status(-1, task_id)
return
else:
page_url = 'https://www.amazon.{}/s/?url=search-alias%3Daps&field-keywords={}'.format(task_site, keyword)
elif task_type in (ListTag, BestSellersTag, NewReleasesTag): # 2,4,5
if not task_info or (not task_info.strip().startswith('http')):
change_status(-1, task_id)
return
if "keywords" in task_info:
change_status(-1, task_id)
return
page_url = task_info.strip()
else:
change_status(-1, task_id)
return
mp = {'entry': task_type, 'page_url': page_url, 'task_id': task_id}
if task_category:
if task_type in (BestSellersTag, NewReleasesTag):
mp['task_category'] = task_category.strip()
if task_type == KeyWordTag:
mp['search_box'] = task_category.strip()
# 单次采集
if task_frequency == task_period == 1:
RedisA.set_hash(OneTask, {'is_track': 0, 'task_id': task_id})
# 循环采集首次
elif task_period > task_frequency and task_type in (BestSellersTag, NewReleasesTag):
RedisA.set_hash(OneTask, {'is_track': 1, 'task_id': task_id})
key = RedisSpace + str(task_id)
now_time = time.strftime("%Y-%m-%d %H:%M:%S")
RedisA.set_hash(key, {'start_track_time': now_time, 'last_track_time': now_time})
else:
change_status(-1, task_id)
return
change_status(1, task_id)
RedisA.rc.rpush(StartUrls, mp)
# 昊旻测试用
RedisA.rc.rpush('amz_test', mp)
update_proxy_ip(Que)
else:
# 循环采集
if Temp:
rows_1 = pd.select(wtcPlatform="amazon", wtcStatus=1, limit=1000)
else:
sql_select_track = (
"select wtc_id, wtc_task_type, wtc_task_frequency, wtc_task_period, wtc_task_info,wtc_task_category,"
"wtc_task_product_id, wtc_task_site from crawler_wcs_task_center where wtc_status=%s and "
"wtc_platform=%s and wtc_is_delete=%s")
rows_1 = store.execute_sql(sql_select_track, 1, 'amazon', 0)
for row_1 in rows_1:
row_dct = row_1
if Temp:
task_id = row_dct['wtcId']
task_type = row_dct['wtcTaskType']
task_frequency = row_dct['wtcTaskFrequency']
task_period = row_dct['wtcTaskPeriod']
task_info = row_dct['wtcTaskInfo']
task_category = row_dct['wtcTaskCategory']
else:
task_id = row_dct['wtc_id']
task_type = row_dct['wtc_task_type']
task_frequency = row_dct['wtc_task_frequency']
task_period = row_dct['wtc_task_period']
task_info = row_dct['wtc_task_info']
task_category = row_dct['wtc_task_category']
key = RedisSpace + str(task_id)
if RedisA.exists_key(key):
start_track_time = RedisA.get_hash_field(key, 'start_track_time')
last_track_time = RedisA.get_hash_field(key, 'last_track_time')
if isinstance(start_track_time, bytes):
start_track_time = start_track_time.decode('utf-8')
last_track_time = last_track_time.decode('utf-8')
start_track_time_dt = datetime.datetime.strptime(start_track_time, "%Y-%m-%d %H:%M:%S")
last_track_time_dt = datetime.datetime.strptime(last_track_time, "%Y-%m-%d %H:%M:%S")
end_track_time = start_track_time_dt + datetime.timedelta(days=task_period)
next_track_time = last_track_time_dt + datetime.timedelta(days=task_frequency)
now_time = datetime.datetime.strptime(time.strftime("%Y-%m-%d %H:%M:%S"), "%Y-%m-%d %H:%M:%S")
if next_track_time > end_track_time:
change_status(2, task_id)
RedisA.delete_key(key)
if now_time > next_track_time:
page_url = task_info.strip()
mp = {'entry': task_type, 'page_url': page_url, 'task_id': task_id}
if task_category:
mp['task_category'] = task_category.strip()
RedisA.set_hash(key, {'last_track_time': now_time})
change_status(1, task_id)
RedisA.rc.rpush(StartUrls, mp)
print('track: %s' % task_id)
update_proxy_ip(Que)
break
print('not track time: %s' % task_id)
else:
flag = True
store.close()
if flag:
print('no task, waiting for {} sec.'.format(WaitSec))
time.sleep(WaitSec)
if __name__ == '__main__':
pass