# TODO FAQ?? Please don't be shy and raise issues if something in the instructions is unclear. You'd be really helping me, I want to make the setup as straightforward as possible! * Setting up ** [optional] private configuration (=my.config=) If you're not planning to use private configuration (some modules don't need it) you can skip straight to the next step. Still, I'd recommend you to read anyway. First you need to tell the package where to look for your data and external repositories, which is done though a separate (private) package named ~mycfg~. You can see example in ~mycfg_template~. You can copy it somewhere else and modify to your needs. Some explanations: #+begin_src bash :exports results :results output for x in $(find mycfg_template/ | grep -v -E 'mypy_cache|.git|__pycache__|scignore'); do if [[ -L "$x" ]]; then echo "l $x -> $(readlink $x)" elif [[ -d "$x" ]]; then echo "d $x" else echo "f $x" (echo "---"; cat "$x"; echo "---" ) | sed 's/^/ /' fi done #+end_src #+RESULTS: #+begin_example d mycfg_template/ d mycfg_template/mycfg f mycfg_template/mycfg/__init__.py --- class paths: """ Feel free to remove this if you don't need it/add your own custom settings and use them """ class hypothesis: export_path = '/tmp/my_demo/backups/hypothesis' --- d mycfg_template/mycfg/repos l mycfg_template/mycfg/repos/hypexport -> /tmp/my_demo/hypothesis_repo #+end_example As you can see, generally you specify fixed paths (e.g. to backup directory) in ~__init__.py~. Feel free to add other files as well though to organize better, it's a real python package after all! Some things (e.g. links to external packages like [[https://github.com/karlicoss/hypexport][hypexport]]) are specified as normal symlinks in ~repos~ directory. That way you get easy imports (e.g. =import mycfg.repos.hypexport.model=) and proper IDE integration. # TODO link to post about exports? ** =with_my= helper script # TODO FIXME dependencies? # At the moment the package is not uploaded to PyPi yet, so can't # TODO update this section Next, point =with_my= script to your private configuration: #+begin_src bash cp with_my.example with_my vim with_my # specify path to your mycfg (if you want to use it) #+end_src It's also convenient to put =with_my= somewhere in your system path so you can run it from anywhere. ** Dependencies Dependencies are different for specific modules you're planning to use, so it's hard to specify. Generally you can just try using the module and then install missing packages via ~pip install --user~, should be fairly straightforward. * Usage examples If you run your script with ~with_my~ wrapper, you'd have ~my~ in ~PYTHONPATH~ which gives you access to your data from within the script. ** Kobo reader Kobo provider allows you access the books you've read along with the highlights and notes. It uses exports provided by [[https://github.com/karlicoss/kobuddy][kobuddy]] package. - prepare the config 1. Point =ln -sfT /path/to/kobuddy ~/.config/my/config/repos/kobuddy= 2. Add kobo config to =~/.config/my/config/__init__.py= #+begin_src python class kobo: export_dir = 'path/to/kobo/exports' #+end_src After that you should be able to use it: #+begin_src bash with_my python3 -c 'import my.books.kobo as kobo; print(kobo.get_highlights())' #+end_src ** Orger You can use [[https://github.com/karlicoss/orger][orger]] to get Org-mode representations of your data. Some examples: *** [[https://github.com/burtonator/polar-bookshelf][Polar]] This will convert Polar highlights into org-mode: #+begin_src bash with_my orger/modules/polar.py --to polar.org #+end_src ** =demo.py= read/run [[../demo.py][demo.py]] for a full demonstration of setting up Hypothesis (it uses public annotations data from Github)