def _run(self, code, start, end):
ss = requests.session()
code_d = 'sh' + code if code[0] == '6' else 'sz' + code
f_data_list = []
# 得到日期
url = 'http://emweb.securities.eastmoney.com/PC_HSF10/ShareholderResearch/ShareholderResearchAjax?code=' + code_d
ctx = ss.get(url=url, headers=header_dict)
if (ctx.content != None):
f_data_list = json.loads(ctx.content)['zlcc_rz']
logger.info('funds date:' + ",".join(f_data_list))
df = pd.DataFrame()
for idx, f_d in enumerate(f_data_list):
url = 'http://emweb.securities.eastmoney.com/PC_HSF10/ShareholderResearch/MainPositionsHodlerAjax?date=' + str(
f_d) + '&code=' + code_d
logger.debug(url)
ctx = ss.get(url=url, headers=header_dict)
df.loc[idx, 'code'] = code
df.loc[idx, 'fin_year'] = DateUtil.getYear(f_d)
df.loc[idx, 'fin_season'] = DateUtil.getSeason(f_d)
df.loc[idx, 'fin_type'] = 1
if (ctx.content != None):
data_list = json.loads(ctx.content)
for d in data_list:
if (d['jglx'] == u'基金'):
df.loc[idx, 'fund_holding'] = StrUtil.parse_field(
d['zltgbl'])
if (d['jglx'] == u'社保基金'):
df.loc[idx,
'sb_holding'] = StrUtil.parse_field(d['zltgbl'])
return df
def _run(self, dt=None):
df = self.__get_data(dt)
if (df.empty):
logger.info('pull hk but no date ')
return df
return df
def execute(self,sql):
conn = self.get_conn() # 以后每次需要数据库连接就是用connection（）函数获取连接就好了
cur = conn.cursor()
try:
logger.info('update sql:'+sql);
cur.execute(sql);
conn.commit();
except BaseException as be:
print('create table error:',be)
finally:
cur.close()
conn.close()
def save(self, table_name, df, primaryKeys=[Config.code, Config.db_date]):
if (df.empty):
logger.info('no data to save ')
return
exist=[];
for i in df.index:
exist.append(self.__query_exist(table_name,df,i,primaryKeys))
not_exist=list(map(lambda x:not x,exist))
update_df=df[exist];
insert_df=df[not_exist]
logger.info('save db count:%d,insert %d,update:%d'%(df.shape[0],insert_df.shape[0],update_df.shape[0]))
self.__insert(table_name,insert_df);
self.update(table_name,update_df,primaryKeys)
def job_every_day():
from k.manager.FinManager import FinManager
from k.puller.SharePuller import SharePuller
from k.manager.Kmanager import KManager
from k.util.Logger import logger
from k.util.DateUtil import DateUtil
from k.util.PandasToMysql import pm
if (isWeekDay()):
return
td = datetime.datetime.now().strftime('%Y-%m-%d')
logger.info('schedule job start to work:' + td)
KManager.pull_data(td)
KManager.pull_data_hk(td)
KManager.pull_data_hk(DateUtil.getLastDay(td))
KManager.count_kpi(td)
def pull(self, dt=None, to_mysql=True, to_csv=False):
succ = True
df = None
try:
df = self._run(dt)
if (df.empty):
logger.info('get empty df for ' + self.__class__.__name__)
else:
if (to_mysql):
self._save_to_mysql(pm, df)
if (to_csv):
self._save_to_csv(df)
except Exception as e:
logger.exception('tbase puller error')
succ = False
digest_log.info('t-puller|%s|%s|%s|%s' %
(self.__class__.__name__, dt, str(to_mysql), succ))
return succ
def __init__(self,host=ConfigDict['ip'],user=ConfigDict['user'],password=ConfigDict['password'],db_name=ConfigDict['db_name']):
try:
logger.info('start to build pool');
self.pool = mysql.connector.pooling.MySQLConnectionPool(pool_name="mypool", pool_size=10, host=host,
port=3306, database=db_name,
user=user, password=password,
pool_reset_session=True)
# self.pool = pool = ConnectionPool(**config);
# PooledDB(MySQLdb, mincached=5,maxcached=5, maxconnections=20, host='localhost', user='******', passwd='pwd', db='myDB', port=3306)
# # 打开数据库连接
#self.__conn = pymysql.connect(host, user, password, db_name,charset='utf8');
#self.__cursor=self.__conn .cursor();
#self.__engine = create_engine('mysql+pymysql://'+user+':'+password+'@'+host+'/'+db_name+'?charset=utf8')
logger.info('build pool OK');
except BaseException as be:
logger.exception('build error');
raise be;
def update(self, table_name, df, primaryKeys):
if (df.empty):
logger.info('no date to update')
return
if (primaryKeys == '' or primaryKeys == None):
raise Exception('primaryKeys is None');
conn = self.get_conn();
cur = conn.cursor();
try:
sql_prefix = 'update ' + table_name + ' set ';
sql='';
#for i in np.arange(df.shape[0]):
for i in df.index:
chip = '';
for vi, val in enumerate(df.columns):
if(val not in primaryKeys):
chip =chip+ self.__parse_field__(val) + '=' + self.__parse_value__(df.loc[i, val]);
if (vi < len(df.columns) - 1):
chip = chip + ','
if(chip==''):
raise Exception('updated columns is None');
chip += ' where ';
for vi, val in enumerate(primaryKeys):
chip += self.__parse_field__(val) + '=' + self.__parse_value__(df.loc[i, val]);
if (vi < len(primaryKeys) - 1):
chip = chip + ' and ';
sql = sql_prefix + chip;
cur.execute(sql);
logger.debug('update sql count:'+str(df.shape[0]));
conn.commit();
except BaseException as be:
conn.rollback();
logger.exception('updat db error')
raise be;
finally:
cur.close();
conn.close();
def kpi_month(code):
import numpy as np
df = pm.query(DbCreator.share_data_month,
where='code=\'' + code +
'\' and trade_date>=\'2015-01\'')
logger.info('start to month reverse kpi:' + code + ' size:' +
str(df.shape[0]))
if (df.shape[0] == 0):
logger.info('no data to kpi:')
return
df.sort_values(by=[Config.db_date], inplace=True) # 按列进行排序
df.index = np.arange(0, df.shape[0], 1) # 保证索引排序
df[Config.db_date] = df[Config.db_date].astype(np.str) # 日期更改
mk = MonthReverse()
succ = mk.run(code, df, start=0, to_mysql=True)
logger.info('end to month kpi:' + code)
return succ
def kpi_s(code, start_date, pm, dict):
df = pm.query(DbCreator.share_data_day,
where='code=\'' + code +
'\' and trade_date>=\'2011-01-01\'')
logger.info('start to kpi:' + code + ' size:' + str(df.shape[0]))
if (df.shape[0] == 0):
logger.info('no data to kpi:')
return
#流水线
succ = Pipeline.execute(PreProcess(), [
TotalMarket(),
CreateRecord(),
DeviationsRatio(),
FluctionRatio(),
IncrementRatio(),
Ma(),
TurnRatio(),
PeRank()
], code, df, start_date)
logger.info('end to kpi:' + code)
dict[code] = succ
def run(self, code, df, start=0, to_mysql=False, to_csv=False):
succ = True
try:
if (df.empty or df.shape[0] == 0):
logger.info('no date to count kpi')
else:
df = self._process(df, start)
if (to_mysql):
df = df.loc[start:, :]
tb_name = self._get_update_table_name()
pm.update(tb_name, df, primaryKeys=[Config.id])
if (to_csv):
df.to_csv(code + '-base.csv')
except Exception as e:
logger.exception('base kpi error')
print(e.__traceback__)
succ = False
digest_log.info('Alg-Base|%s|%s|%d|%s|%s' %
(self.__class__.__name__, code, start, to_mysql, succ))
return succ
