Files
wlan-lanforge-scripts/py-scripts/sandbox/csv_sqlite.py
Chuck SmileyRekiere 5d658aea40 csv_sqlite.py : comment updates
kpi_csv_sq.py : dash runs in a container, need to have a server to access
specific data
2021-08-04 05:21:41 -06:00

90 lines
2.6 KiB
Python

#!/usr/bin/env python3
'''
File: will search sub diretories for kpi.csv and place the data into an sqlite database
File: will search path recursivly for kpi.csv and place into sqlite database
Usage: csv_sqlite.py --path <path to directories to traverse> --database <name of database>
'''
import sys
if sys.version_info[0] != 3:
print("This script requires Python3")
exit
import pandas as pd
import sqlite3
import argparse
from pathlib import Path
class csv_to_sqlite():
def __init__(self,
_path = '.',
_file = 'kpi.csv',
_database = 'test_db'):
self.path = _path
self.file = _file
self.database = _database
def store(self):
print(self.path)
path = Path(self.path)
print(path)
#path = Path('./test_data3')
#path = Path('test_data3')
#print(path)
#quit(1)
kpi_list = list(path.glob('**/{}'.format(self.file)))
#kpi_list = list(path.glob('**/kpi.csv'))
print(kpi_list)
print("lenth kpi_list {}".format(len(kpi_list)))
df = pd.DataFrame()
for kpi in kpi_list:
# load data
append_df = pd.read_csv(kpi, sep='\t')
df = df.append(append_df, ignore_index=True)
# information on sqlite database
# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
print(self.database)
conn = sqlite3.connect(self.database)
#data may be appended setting if_exists='append'
df.to_sql("dp_table",conn,if_exists='replace')
conn.close()
def main():
parser = argparse.ArgumentParser(
prog='csv_sqlite.py',
formatter_class=argparse.RawTextHelpFormatter,
epilog='''\
read kpi.csv into sqlit database
''',
description='''\
File: will search path recursivly for kpi.csv and place into sqlite database
Usage: csv_sqlite.py --path <path to directories to traverse> --database <name of database>
''')
parser.add_argument('--path', help='--path ./top directory path to kpi',required=True)
parser.add_argument('--file', help='--file kpi.csv',default='kpi.csv')
parser.add_argument('--database', help='--database qa_test_db',default='qa_test_db')
args = parser.parse_args()
__path = args.path
__file = args.file
__database = args.database
csv_sqlite = csv_to_sqlite(
_path = __path,
_file = __file,
_database = __database)
csv_sqlite.store()
if __name__ == '__main__':
main()