File size: 1,794 Bytes
738c322 249b27c 738c322 249b27c 738c322 249b27c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
import logging
import time
from util import config
import pandas as pd
class Postgres(object):
def __init__(self, env, dbnm):
self.config = config.init(env)
self.conn = None
self.dbnm = dbnm
self.__open__()
def __open__(self):
import psycopg2
try:
if self.conn:self.__close__()
del self.conn
except Exception as e:
pass
try:
self.conn = psycopg2.connect(f"dbname={self.dbnm} user={self.config.get('pgdb_usr')} password={self.config.get('pgdb_pwd')} host={self.config.get('pgdb_host')} port={self.config.get('pgdb_port')}")
except Exception as e:
logging.error("Fail to connect %s "%self.config.get("pgdb_host") + str(e))
def __close__(self):
try:
self.conn.close()
except Exception as e:
logging.error("Fail to close %s "%self.config.get("pgdb_host") + str(e))
def select(self, sql):
for _ in range(10):
try:
return pd.read_sql(sql, self.conn)
except Exception as e:
logging.error(f"Fail to exec {sql} "+str(e))
self.__open__()
time.sleep(1)
return pd.DataFrame()
def update(self, sql):
for _ in range(10):
try:
cur = self.conn.cursor()
cur.execute(sql)
updated_rows = cur.rowcount
conn.commit()
cur.close()
return updated_rows
except Exception as e:
logging.error(f"Fail to exec {sql} "+str(e))
self.__open__()
time.sleep(1)
return 0
if __name__ == "__main__":
Postgres("infiniflow", "docgpt")
|