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import pymongo
import os
import pandas as pd
import logging
class DBOperations:
"""
Reads news from MongoDB
"""
def __init__(self):
self.url = os.getenv('DB_URL')
self.database = "rss_news_db_cat_pred_sim_news"
self.collection = "rss_news_cat_pred_sim_news"
self.__client = None
self.__error = 0
async def __connect(self):
try:
self.__client = pymongo.MongoClient(self.url)
_ = self.__client.list_database_names()
except Exception as conn_exception:
self.__error = 1
logging.critical(f"Error in DBOperations.connect(): {conn_exception}")
self.__client = None
raise
async def __read(self):
try:
db = self.__client[self.database]
coll = db[self.collection]
docs = []
maxtries = 5
ntry = 0
while (len(docs) == 0) and (ntry < maxtries):
for doc in coll.find():
docs.append(doc)
ntry += 1
logging.info(f"DB Read try: {ntry}")
rss_df = pd.DataFrame(docs)
except Exception as insert_err:
self.__error = 1
logging.critical(f"Error in DBOperations.read(): {insert_err}")
rss_df = pd.DataFrame({'_id': '', 'title': '', 'url': '',
'description': '', 'parsed_date': '',
'src': ''}, index=[0])
return rss_df
def __close_connection(self):
if self.__client is not None:
self.__client.close()
self.__client = None
async def read_news_from_db(self):
rss_df = pd.DataFrame({'_id': '', 'title': '', 'url': '',
'description': '', 'parsed_date': '',
'src': ''}, index=[0])
if self.url is not None:
if self.__error == 0:
await self.__connect()
if self.__error == 0:
rss_df = await self.__read()
if self.__error == 0:
logging.info("Read Successful")
if self.__client is not None:
self.__close_connection()
return rss_df
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