def scrapy_text(conn): ''' Function doc 统计 行业爬虫 每天抓取数据量 与 七天抓取的平均数量进行比较 @return text Parameter doc @conn : Mysql数据库 连接实例 ''' sql = ''' SELECT task_type, num, num7_avg, stauts FROM ind_sp_task_exec_info_st WHERE up_date = '%s' ''' % (today) datas = select_data(conn,'ind_sp_task_exec_info_st',sql) strs_pks = [] for data in datas: task_type = str(data[0]) num = str(data[1]) num7_avg = str(data[2]) stauts = str(data[3]) s_pk = ''' %s : yesterday: %s avg: %s %s <br> ''' % (task_type,num,num7_avg,stauts) strs_pks.append(s_pk) return '\n'.join(strs_pks)
def get_dis_shop_time(conn):
'''
Function doc
获取需要去重的时间
Parameter doc
@conn Mysql 数据库连接实例
return list
'''
sql = '''
SELECT
start_time,
end_time,
start_date,
end_date,
task_type,
add_time
FROM spider_job_stat WHERE stauts = 0 AND task_type = 'shop'
'''
data = select_data(conn, 'spider_job_stat', sql)
items = []
for d in data:
item = {}
item['start_time'] = str(d[0])
item['end_time'] = str(d[1])
item['start_date'] = str(d[2])
item['end_date'] = str(d[3])
item['task_type'] = str(d[4])
item['add_time'] = str(d[5])
items.append(item)
return items
def sdian_text(conn): ''' Function doc 统计 多店 商品价格抓取情况 @return text Parameter doc @conn : Mysql数据库 连接实例 ''' sql = ''' SELECT a.dt, a.num num1, b.num2 num2, CASE WHEN b.num2 is NULL THEN 'is OK!' WHEN a.num > b.num2*0.8 THEN 'is OK!' ELSE '<font color="red"> <b>is not OK! </b></font>' END stauts FROM ( SELECT count(1) num,dt FROM tb_item_price WHERE dt = '%s' ) a INNER JOIN ( SELECT count(DISTINCT num_iid) num2 FROM tb_ware_list_get where dt='%s' ) b ''' % (today,yestday) datas = select_data(conn,'tb_ware_list_get',sql) s_pk = '' if datas: for data in datas: num1 = str(data[1]) num2 = str(data[2]) stauts = str(data[3]) s_pk = '''today 需要抓取的商品id数量: %s 实际抓取到的商品id数量: %s ... %s<br> ''' % (num2,num1,stauts) return s_pk
def judge_ydhy_job(conn, spider):
'''
Fuction doc
判断任务列表还有有运动行业的未执行任务
Parameter doc
@conn Mysql数据库连接实例
@spider 爬虫的名字
ruturn 返回查询出来的条数
'''
sql = "SELECT count(1) FROM spider_jobs WHERE stauts = 9 AND task_type = '%s' " % (
spider)
print sql
data = select_data(conn, 'spider_jobs', sql)
return int(data[0][0])
def xtep_shops_tb_text(conn): ''' Function doc 统计 淘宝多店 商品价格抓取情况 拼接成字符串 @return text Parameter doc @conn : Mysql数据库 连接实例 ''' sqls = xtep_shops_tb_sql() #list datas = select_data(conn,'tb_ware_list_get',sqls[0]) s_pk = '' for data in datas: num1 = str(data[1]) num2 = str(data[2]) stauts = str(data[3]) s_pk = '''today 需要抓取价格的商品id数量: %s 价格为空商品id数量: %s ... %s<br> ''' % (num1,num2,stauts) return s_pk
def ydhy_text(conn): ''' Function doc 统计 淘宝运动行业 商品抓取情况 拼接成字符串 @return text Parameter doc @conn : Mysql数据库 连接实例 ''' sqls = ydhy_sql() #list datas = select_data(conn,'shop_get_item_list_new',sqls[0]) s_pk = '' for data in datas: num1 = str(data[1]) num2 = str(data[2]) num3 = str(data[3]) stauts = str(data[4]) s_pk = '''today 需要抓取的商品数量: %s 实际抓取到的商品数量: %s 未抓取到货号的商品数量 %s ... %s<br> ''' % (num1,num2,num3,stauts) return s_pk
def shops_sale_info_stat_text(conn,key_type):
'''
Function doc
店铺销量统计
@return text
Parameter doc
@conn : Mysql数据库 连接实例
@key_type: 全渠道类型(如:xtep,mg)
'''
sql = '''
SELECT a.sale, a.sale_b0, a.sale_s0, a.sale0_pr, a.brand,b.avg7pr
FROM shops_sale_info_stat a
LEFT JOIN
( SELECT brand,round(avg(sale0_pr),0) avg7pr FROM shops_sale_info_stat WHERE up_date > '%s' ) b
ON a.brand = b.brand
WHERE up_date = '%s' ''' % (ys_8_day,today)
datas = select_data(conn,'shops_sale_info_stat',sql)
s_pk = ''
for data in datas:
sale = str(data[0])
sale_b0 = str(data[1])
sale_s0 = str(data[2])
sale0_pr = str(data[3])
brand = str(data[4])
avg7pr = 0 if str(data[5]) == 'None' else int(data[5])*0.8
if sale0_pr != '0' :
stauts = 'is OK!' if int(sale0_pr.strip('%')) > avg7pr else '<font color="red"><b>is not OK!</b></font>'
else:
stauts = '<font color="red"><b>is not OK!</b></font>'
s_pk = '''<font color="Green"><b>店铺销量统计</b></font><br>
%s : shop sale today 总销量: %s 授权店铺销量: %s 未授权店铺销量: %s 授权店铺销量占比 %s %s 授权店铺7天平均销量占比 %s <br>
''' % (brand,sale,sale_b0,sale_s0,sale0_pr,stauts,str(avg7pr*1.25)+'%')
return s_pk
def lost_itemno_text(conn,table):
'''
Function doc
统计 全渠道 商品信息表 没货号商品数量
@return text
Parameter doc
@conn : Mysql数据库 连接实例
@table: 表名
'''
f_list = [
'qqd_amazon_search',
'qqd_dd_search',
'qqd_jd_search',
'qqd_sn_search',
'qqd_tbwx_search',
'qqd_tb_search',
'qqd_t_itemno_search',
'qqd_yhd_search']
sql = '''
SELECT
a.fetch_api,
a.num,
b.num num_avg7,
CASE
WHEN b.num is NULL THEN 'is OK!'
WHEN a.fetch_api in ('qqd_t_itemno_search','qqd_tb_search') AND a.num < b.num+1000 THEN 'is OK!'
WHEN a.num < b.num+100 THEN 'is OK!'
ELSE '<font color="red"> <b>is not OK! </b></font>'
END stauts
FROM
( SELECT count(itemno) num, fetch_api FROM %s WHERE adddate = '%s' AND (itemno ='' OR itemno = '11111111') GROUP BY fetch_api ORDER BY 1 ) a
LEFT JOIN
( SELECT round(avg(a.num),2) num, a.fetch_api fetch_api
FROM ( SELECT count(itemno) num, fetch_api FROM %s WHERE adddate > '%s' AND adddate < '%s' AND (itemno ='' OR itemno = '11111111') GROUP BY adddate,fetch_api ORDER BY isTmall) a
GROUP BY a.fetch_api ORDER BY 1 ) b
ON a.fetch_api = b.fetch_api ''' % (table,today,table,ys_8_day,today)
datas = select_data(conn,table,sql)
strs_pk = []
# f_list2 = []
for data in datas:
fetch_api = str(data[0])
count = str(data[1])
count_avg = str(data[2])
stauts = str(data[3])
if fetch_api in f_list:
s_pk = ''' %s : today: %s avg: %s %s <br> ''' % (fetch_api,count,count_avg,stauts)
strs_pk.append(s_pk)
# f_list2.append(fetch_api)
# strs_pk2 = []
# s_fs = ''
# if len(f_list2) < len(f_list):#当平台没数据的时候
# f_list3 = list(set(f_list).difference(set(f_list2))) #求list 差集
# for i in f_list3:
# s_f = ''' %s : today: <font color="red"> <b>0 </b></font>,<font color="red"> <b>is not OK! </b></font><br>''' % (i)
# strs_pk2.append(s_f)
# s_fs = '\n'.join(strs_pk2)
return '\n'.join(strs_pk)
def keywords_search_info_text(conn,table):
'''
Function doc
统计 全渠道 商品信息表
每个爬虫当天抓取的数据量 与 7天平均抓取的数据量进行对比
@return text
Parameter doc
@conn : Mysql数据库 连接实例
@table: 表名
'''
f_list = [
'qqd_amazon_search',
'qqd_dd_search',
'qqd_jd_search',
'qqd_sn_search',
'qqd_tbwx_search',
'qqd_tb_search',
'qqd_t_itemno_search',
'qqd_yhd_search'] # 爬虫列表
sql_1 = '''
SELECT
c.adddate,
c.fetch_api,
c.num,
b.b_num,
CASE
WHEN b.b_num is NULL THEN
'is OK!'
WHEN c.num > b.b_num * 0.7 THEN
'is OK!'
ELSE
'<font color="red"> <b>is not OK! </b></font>'
END stauts
FROM
(SELECT adddate, fetch_api, count(1) num FROM %s WHERE adddate = '%s' GROUP BY adddate, fetch_api) c
LEFT JOIN
(SELECT fetch_api,round(avg(num),2) b_num FROM ( SELECT adddate, fetch_api, count(1) num FROM %s WHERE adddate > '%s' AND adddate < '%s' GROUP BY adddate,fetch_api) a GROUP BY fetch_api ORDER BY 1) b
ON c.fetch_api = b.fetch_api ''' % (table,today,table,ys_8_day,today)
datas = select_data(conn,table,sql_1)
strs_pk = []
f_list2 = []
for data in datas:
fetch_api = str(data[1])
count = str(data[2])
count_avg = str(data[3])
stauts = str(data[4])
if fetch_api in f_list:
s_pk = ''' %s : today: %s avg: %s %s <br> ''' % (fetch_api,count,count_avg,stauts)
strs_pk.append(s_pk)
f_list2.append(fetch_api)
strs_pk2 = []
s_fs = ''
if len(f_list2) < len(f_list):#当平台没数据的时候
f_list3 = list(set(f_list).difference(set(f_list2))) #求list 差集
for i in f_list3:
s_f = ''' %s : today: <font color="red"> <b>0 </b></font>,<font color="red"> <b>is not OK! </b></font><br>''' % (i)
strs_pk2.append(s_f)
s_fs = '\n'.join(strs_pk2)
return ('\n'.join(strs_pk)) + s_fs
def insert_spider_job_stat(conn):
'''
Function doc
统计10天内爬虫任务每轮用时,抓取的数据量,和每轮每次执行时间的平均值,最大值,最小值
insert igore 插入数据库表 spider_job_stat
Parameter doc
@conn : Mysql 数据库连接实例
'''
start = time.time()
pre_30day = time.strftime(
"%Y-%m-%d %H:%M:%S", time.localtime(
(int(time.time()) - 3600 * 24 * 10)))
job_list = ['shop', 'search', 'bitem', 'citem']
for job in job_list:
sql = '''
SELECT
task_type,
count(1),
min(update_time),
max(end_time),
add_time
FROM spider_jobs WHERE task_type = '%s' AND add_time > '%s' GROUP BY add_time
''' % (job, pre_30day)
print sql
data = select_data(conn, 'spider_jobs', sql)
items = []
if len(data) > 1:
for d in data[:-1]:
item = {}
item['task_type'] = str(d[0])
item['task_count'] = str(d[1])
item['start_time'] = str(d[2])
item['end_time'] = str(d[3])
item['start_date'] = str(d[2]).split(' ')[0]
item['end_date'] = str(d[3]).split(' ')[0]
item['add_time'] = str(d[4])
job_time = time_differ(item['end_time'], item['start_time'])
item['job_time'] = round(job_time.total_seconds() / 60, 2)
if int(item['task_count']) > 50:
sql = get_spider_1_job_time_sql(item['start_time'],
item['end_time'],
item['task_type'])
data1 = select_data(conn, 'spider_jobs', sql)
item['avg_1_job_time'] = str(data1[0][0])
item['max_1_job_time'] = str(data1[0][1])
item['min_1_job_time'] = str(data1[0][2])
sql = get_spider_grab_num_sql(item['start_time'],
item['end_time'],
item['start_date'],
item['end_date'],
item['task_type'])
data = select_data(conn, item['task_type'], sql)
item['num'] = str(data[0][0])
elif int(item['task_count']) < 50: #bitem有几个特殊任务运行时间很短
item['avg_1_job_time'] = 0
item['max_1_job_time'] = 0
item['min_1_job_time'] = 0
sql = get_spider_grab_num_sql(item['start_time'],
item['end_time'],
item['start_date'],
item['end_date'],
item['task_type'])
data = select_data(conn, item['task_type'], sql)
item['num'] = str(data[0][0])
items.append(item)
insert_ignore_dicts(items, 'spider_job_stat', conn)
def ind_sp_task_exec_info_st(conn):
'''
Function doc
统计爬虫任务执行的所有情况插入ind_sp_task_exec_info_st表
Parameter doc
@conn Mysql 数据库连接实例
'''
sql_citem = sql_citem_statistics()
sql_bitem = sql_bitem_statistics()
sql_search = sql_search_statistics()
sql_shop = sql_shop_statistics()
sql_sp_jobs = sql_sp_jobs_statistics()
up_time = time.strftime('%Y-%m-%d %H:%M:%S')
up_date = time.strftime('%Y-%m-%d')
datas = select_data(conn, 'spider_jobs', sql_sp_jobs) #统计行业爬虫任务执行情况
print sql_sp_jobs
items = []
for data in datas: #将每只爬虫的结果保存到items
item = {}
item['up_time'] = up_time
item['up_date'] = up_date
item['task_type'] = str(data[0])
item['task_success'] = str(data[1])
item['task_fail'] = str(data[2])
item['task_total'] = str(data[3])
item['task_long'] = str(data[4])
item['task_short'] = str(data[5])
item['avg_time'] = str(data[6])
item['max_time'] = str(data[7])
item['min_time'] = str(data[8])
items.append(item)
for item in items: #遍历结果
if item['task_type'] == 'citem': #查询的结果整合到爬虫任务信息中
datas = select_data(conn, 'citem', sql_citem)
print sql_citem
if datas:
item['shop_id'] = 0
item['key_word'] = str(datas[0][0])
item['num'] = str(datas[0][1])
item['num7_avg'] = str(datas[0][2])
item['stauts'] = str(datas[0][3])
elif item['task_type'] == 'bitem': #查询的结果整合到爬虫任务信息中
datas = select_data(conn, 'bitem', sql_bitem)
print sql_bitem
if datas:
item['shop_id'] = 0
item['key_word'] = str(datas[0][0])
item['num'] = str(datas[0][1])
item['num7_avg'] = str(datas[0][2])
item['stauts'] = str(datas[0][3])
elif item['task_type'] == 'shop': #查询的结果整合到爬虫任务信息中
datas = select_data(conn, 'shop', sql_shop)
print sql_shop
if datas:
item['shop_id'] = str(datas[0][0])
item['key_word'] = str(datas[0][1])
item['num'] = str(datas[0][2])
item['num7_avg'] = str(datas[0][3])
item['stauts'] = str(datas[0][4])
elif item['task_type'] == 'search': #查询的结果整合到爬虫任务信息中
datas = select_data(conn, 'search', sql_search)
print sql_search
if datas:
item['shop_id'] = 0
item['key_word'] = str(datas[0][0])
item['num'] = str(datas[0][1])
item['num7_avg'] = str(datas[0][2])
item['stauts'] = str(datas[0][3])
if items:
insert_ignore_dicts(items, 'ind_sp_task_exec_info_st', conn)
else:
print 'not items!'
