ragflow/python/util/db_conn.py
KevinHuSh 249b27c1e0 go through upload, create kb, add doc to kb (#11)
* add field progress msg into docinfo; add file processing procedure

* go through upload, create kb, add doc to kb
2023-12-19 19:28:01 +08:00

64 lines
1.8 KiB
Python

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")