Region_Leaderboard_Monthly_Execution.py

#!/usr/bin/env python3
'''
This script was written by Beaker from F3STL. Questions? @srschaecher on twitter or srschaecher@gmail.com.
This script executes the monthly LeaderboardByAO chart maker for all F3 regions using PAXminer.
'''

from slacker import Slacker
import pandas as pd
import pymysql.cursors
import configparser
import os

# Set the working directory to the directory of the script
abspath = os.path.abspath(__file__)
dname = os.path.dirname(abspath)
os.chdir(dname)

# Configure AWS credentials
config = configparser.ConfigParser();
config.read('../config/credentials.ini');

# Configure AWS Credentials
host = config['aws']['host']
port = int(config['aws']['port'])
user = config['aws']['user']
password = config['aws']['password']
db = config['aws']['db']


#Define AWS Database connection criteria
mydb1 = pymysql.connect(
    host=host,
    port=port,
    user=user,
    password=password,
    db=db,
    charset='utf8mb4',
    cursorclass=pymysql.cursors.DictCursor)

# Get list of regions and Slack tokens for PAXminer execution
try:
    with mydb1.cursor() as cursor:
        sql = "SELECT * FROM paxminer.regions where firstf_channel IS NOT NULL AND send_region_leaderboard = 1"
        cursor.execute(sql)
        regions = cursor.fetchall()
        regions_df = pd.DataFrame(regions)
finally:
    print('Getting list of regions that use PAXminer...')

for index, row in regions_df.iterrows():
    region = row['region']
    key = row['slack_token']
    db = row['schema_name']
    firstf = row['firstf_channel']
    #firstf = 'U0187M4NWG4' # <--- Use this if sending a test msg to a specific user
    print('Processing statistics for region ' + region)
    os.system("./Leaderboard_Charter.py " + db + " " + key + " " + region + " " + firstf)
    print('----------------- End of Region Update -----------------\n')
print('\nLeaderboardByAO_Charter execution complete.')