Parses logs
- Free software: BSD license
- Documentation: https://pylog_parse.readthedocs.org.
- Clone the github repository
- Install by going into directory in terminal and executing:
$ pip install pandas
$ pip install sqlalchemy
$ python setup.py install- To execute you may copy this script and input your own information
- Eventually command line arguments will be put in the place of manually creating a script
- After creating a script like the one below and saving as example.py:
$ python example.py# filename: example.py
import sqlalchemy
from pylog_parse import LogFile
# Path to zip file, doesn't have to be zip file
log_zip = '/path/to/target/Logs.zip'
# Create LogFile object
log = LogFile(test)
# Save log dataframe as csv
output_csv = '/path/to/some/dest_folder/Logs.csv'
log.to_csv(output_csv)
# sqlalchemy connection
conn_url = 'postgresql://scott:tiger@localhost:5432/database'
engine = sqlalchemy.create_engine(conn_url)
log.upload(engine, table='target_table')