It is heavily inspired from its pythonish friend, http://maebert.github.com/jrnl.
I built it because I love Ruby, it was easy enough, and I really loved the idea of storing as Gists as opposed to plain files.
For brevity's sake, the Logbook gem name and executable is
$ gem install lg $ lg
If you want private Gists attached to your user (you most probably want that), make sure to set your Github credentials as environment variables, example:
$ export GITHUB_USER=youruser $ export GITHUB_PASSWORD=yourpw
Now we need to make a first
book and start
adding into it.
Create a new book with the
lg book command. You can give it a
cover, in this case
The Wizzard of Oz.
$ lg book The Wizzard of Oz
Simply say 'lg add' and your memory in a short sentence.
$ lg add just wrote the logbook gem README
You might find it convenient to specify when a thing happend explicitly,
just make sure to specify a natural date such as
by a colon
:. Translation done with the
$ lg add yesterday: wrote the logbook gem README
You can safely skip this if that's all what you're looking for.
Switch between books, when you know what you want, you can explicitly specify the ID.
$ lg book book-id
Or pick from a menu, leaving arguments blank:
$ lg book 1 The Wizzard of Oz deadbeef0aef ... Pick one: 1
lg all when you want to see everything you've recorded.
Command line is awesome. Its fast, and you feel it when you're less dependent on your mouse for your development work (e.g. VIM).
You should just Alt/Command-Tab, write a line and go back working.
You should be expected to remember at most one commands (pitfall of success) to do actual work. Seriously, focus.
Feature slim. Use gist search for that. True, its limited, but as of now, I believe Github are working on improving that.
jrnl's search loads all of your entries to memory and
performs search on an in-memory structure.
If the need arises, it should be dead easy to make that kind of search in
Again, feature slim. If you were using a real logbook, you'd
just cross the bad entry. It will still be there.
If you must, you can always use the gist interface for that.
Actually, a gist entry is a Git repository.
The modeling on-top-of a Gist was done intentionally. Clone your book and treat it like a Git repo.
From there, you can script against git and/or run countless analysis tools on your repository.
Set up development:
bundle exec guard start.
Build/install a development snapshot:
Credit: Thanks to @defunkt!. I've included and heavily modified a version of defunkt/gist in this project.
Fork, implement, add tests, pull request, get my everlasting thanks and a respectable place here :).