-- org-confirm-babel-evaluate: nil; --

Orger converts your data into a hierarchical Org-mode representation to allow for quick access and search.

I write in detail about usecases and motivation for it [[https://beepb00p.xyz/orger.html][here]], this readme is mostly the setup manual!

• Installing

• simplest: install from [[https://pypi.org/project/orger][PyPi]]: pip3 install --user orger

  After that you should be able to run orger modules via =python3 -m=:

  : python3 -m orger.modules.instapaper --help

• [[https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs][editable]] install

  This will allow you to quickly prototype and debug, the local changes to the code will be reflected immiedately.

  • clone: =https://github.com/karlicoss/orger /path/to/orger=
  • =cd /path/to/orger=
  • =pip3 install --user .=
  • after that you can use =python3 -m orger.modules.modulename=, same way as the previous section, or run =modules/modulename.py= directly

• NOTE: most Orger modules are relying on [[https://github.com/karlicoss/HPI#readme][HPI]] module for input data

  Please refer to the HPI install guide/documentation and make sure the corresponding data providers work (e.g. via =hpi doctor= command).

• [optional]: install [[https://pandoc.org/installing.html][pandoc]], it might give you better org-mode outputs for some modules

  If you do have pandoc installed, but don't want the module to use it, pass =--disable-pandoc= flag to it.

• Usage and examples I usually run Orger modules overnight via cron.

• see [[./modules][modules]] for all available modules

• Most modules are using [[https://github.com/karlicoss/HPI][HPI]] package for accessing the data. You can learn about setting it up and using [[https://github.com/karlicoss/HPI/blob/master/doc/SETUP.org#orger][here]].

• several examples [[https://beepb00p.xyz/orger.html#examples][here]]

• [[https://beepb00p.xyz/myinfra-roam.html#orger][demonstration]] of Roam Research module, including a [[https://www.youtube.com/watch?v=ib_PDJpTh-Q][screencast]]

• [[./modules/pocket_demo.py][pocket_demo]]: documented literate demo

• and a short short demo:

  #+BEGIN_SRC python from orger import Mirror from orger.inorganic import node, link from orger.common import dt_heading

  import my.coding.github as github_data

  class Github(Mirror): def get_items(self): for event in github_data.get_events(): yield node(dt_heading(event.dt, event.summary))

  Github.main() #+END_SRC

  That ten line program, when run (=./modules/github.py=), results in a file =Github.org=:

  #+BEGIN_SRC org

  AUTOGENERATED BY /code/orger/github.py

  ,* [2016-10-30 Sun 10:29] opened PR Add enter and exit to Pool stub ,* [2016-11-10 Thu 09:29] opened PR Update gradle to 2.14.1 and gradle plugin to 2.1.1 ,* [2016-11-16 Wed 20:20] commented on issue Linker error makes it impossible to use a stack-provided ghc ,* [2016-12-30 Fri 11:57] commented on issue Fix performance in the rare case of hashCode evaluating to zero ,* [2019-09-21 Sat 16:51] commented on issue Tags containing letters outside of a-zA-Z .... #+END_SRC

• types of modules

• Mirror

  #+begin_src python :dir src :exports results :results drawer output import orger print(orger.Mirror.doc) #+end_src

  #+RESULTS: :results:

  *Mirror* (old name =StaticView=): mirrors *all data* from a source, and generated from scratch every time, hence *read only*.
  

  🔚

  You can run such module with

  : ./orger_module.py --to /path/to/output.org

• Queue

  #+BEGIN_SRC python :dir src :exports results :results drawer output import orger print(orger.Queue.doc) #+END_SRC

  #+RESULTS: :results:

  *Queue* (old name =InteractiveView=): works as a queue, *only previously unseen items* from the data source are added to the output org-mode file.
  
  To keep track of previously seen iteems, it's using a separate JSON =state= file.
  
  A typical usecase is a todo list, or a content processing queue.
  You can use such a module as you use any other org-mode file: schedule/refile/comment/set priorities, etc.
  

  🔚

  Typically you'd want to use these as a source of tasks for your todo list. See [[./modules/ip2org.py][ip2org]] as an example.

  You can run such a module as:

  : ./orger_module.py --to /path/to/output.org

  This will keep the state file in your user config dir (e.g. =~/.config/orger/=).

  Alternatively, you can pass the state file explicitly:

  : ./orger_module.py --to /path/to/output.org --state /path/to/state.json

• FAQ

• Why are the files output by some modules read only?

  =Mirror= type modules output read only files, so you don't modify them by accident, they are overwritten every time.

  If you want to temporary lift this restriction (e.g. to experiment with the format), you can use =chmod +w=, or =M-x toggle-read-only= in Emacs.

• How is it different from [[https://github.com/novoid/Memacs][Memacs]]?

  The main reason Orger exists is because I discovered Memacs after I wrote Orger! One day we might merge them, or at least [[https://github.com/karlicoss/orger/issues/5][reuse org-mode formatting routines]].

  That said there are some differences at the moment:

  • Memacs is more of a lifelogging utility, generating a linear output with the intent to be used with your org agenda
  • Orger's =Mirror= modules are meant to be more of a full local reflection of a data source, preserving the hierarchy as much as possible
  • Orger's =Queue= module: I believe they don't have Memacs analogue (but please correct me if I'm wrong)
  • Orger modules are slim and relying on [[https://github.com/karlicoss/HPI][HPI]] to encapsulate data access. But you can also use HPI with Memacs, please ping me if you set up such an integration!

• I want active timestamps for org-agenda integration

  Pass the =--timestamp= argument to the module, for example:

  : modules/polar.py --timestamps active

• Similar projects

• [[https://github.com/novoid/Memacs][Memacs by novoid]]