A demo command line tool for displaying information from a comma or pipe delimited file.

• Use as command-line tool interactively or by passing arguments
• Creates a local SQL Lite Database for storing files
• Database is created from the running directory or optionally a specified flag
• View database in a table format from the command-line
• Sort by "Name" or "Vehicle Type" columns (from sample files)

Grab a copy of the code with pip:

pip install outdoorsy

outdoorsy can be used to extract info from a Comma or Pipe delimited file in two ways:

• Command line/Terminal tool ran interactively outdoorsy
• Command line/Terminal tool ran with arguments outdoorsy -h

outdoorsy

Run outdoorsy -h to see the help output:

outdoorsy -h

usage:

usage: outdoorsy [-h] [-f FILE] [-d {comma,pipe}] [-db DBPATH] [-v] [-s {name,vehicle_type}] [--version]

Outdoorsy Command Line tool for displaying Outdoorsy user information.

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit

options - Upload a new file.:
  -f FILE, --file FILE  Full path to file
  -d {comma,pipe}, --delimiter {comma,pipe}
                        File's delimiter
  -db DBPATH, --dbpath DBPATH
                        Directory to create database. Defaults to current directory

options - View and Sort data:
  -v, --view            View the Outdoorsy Customer Table.
  -s {name,vehicle_type}, --sort {name,vehicle_type}
                        Sort the database table by the Outdoorsy Customer's Fullname or Vehicle Type                       

outdoorsy -f C:\folder\file.csv -d comma

outdoorsy -f C:\folder\pipes.text -d pipe

outdoorsy -f C:\folder\pipes.text -d pipe -db C:\database\

outdoorsy -v

outdoorsy -v -db C:\database\

outdoorsy -v -s vehicle_type

outdoorsy -v -s name

• Update --dbpath argument to --dbdir to make it clear the user needs to specify the directory
• Add additional tests
• Add logic to handle duplicate database entries
• Add the ability to sort by any column
• Depending on customer needs, add support for different headers and file types (outside of comma or pipe delimited)
• Convert to click library (currently using argparse)
• Build CI/CD pipeline for releases using GitHub Actions
• Optimize the logic for argparse and interactive menu so that it's more efficient and avoid duplicates in code
• Move the default used for db_path from the database functions to the argparse argument. This would allow efficiency gains in argparse and when running interactively since a dbpath would always be specified

This program is licensed with an MIT License.