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Tools to import multiple services into Day One Journal

Project description

# Day One tools

This is a collection of scripts to collect data from various sources and store it into the [Day One](http://dayoneapp.com/) journaling application. Day One is a fantastic application so I’d like to put as much of the data about my habits, Internet usage, goals, etc. into it as possible. Luckily, the format for Day One is simply XML in the form of OS X plists. This makes it very easy to import data into.

## Goals

This repository aims to be a single place for one-shot scripts to semi-automate exporting various data into the Day One XML format. The purpose is to primarily support services without a web API and those that involve more manual setup to export data, etc.

## Install

  • Install package with the standard pip workflow:
    • git clone repositiory
    • cd into repository
    • pip install .

Now you should have a top-level script called dayonetools to interact with all the individual services, etc.

  • Run dayonetools -h to ensure the install worked properly.

## Usage

  • Run dayonetools -h for help
  • Run dayonetools <service_name> -h for help on an individual service
    • For example: dayonetools idonethis -h

### Supported services

### How to contribute

See CONTRIBUTE file for contribution guidelines.

### Differences from Slogger

This set of tools is very similar to the popular [slogger](https://github.com/ttscoff/Slogger). However, it differs in a few ways.

  1. [slogger](https://github.com/ttscoff/Slogger) is meant to be run automatically on a schedule via cron or any similar scheduling mechanism.
  2. [slogger](https://github.com/ttscoff/Slogger) primarily supports services that have a web API.
  3. [slogger](https://github.com/ttscoff/Slogger) is written in Ruby.

The Day One tools collection of scripts is meant to fill the gap regarding unsupported services in Slogger. In addition, it’s a different mindset in that these scripts could be automated but the services they import from are lesser used and possibly more difficult to export data from.

Project details


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