Quote:
Originally Posted by ndriver
Just for fun, I proceeded with the test of trying to implement a solution to keep an eye on and plot my reading patterns.
This is self hosted. The e-reader sends the result of a query to my PC, where it is parsed.
(A shared site would not be something I would use because of the privacy issues that are inherent to that type of setup.)
I can then lookup and search the results in a web page (though at the moment it is in need of a bit of styling...). After selecting the date range, a stacked bar chart is displayed, showing what and how much was read on a daily, weekly or monthly scale.
Main drawbacks are that ideally the script which sends the query result to the PC should be run everyday the Kobo is used and secondly the results are only valid in scenarios where you use exclusively one device, since this data is not synced to the Kobo servers as davidfor warned on the previous post.
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Ndriver, that is pretty cool. That exactly what I am kind of looking for.
After all the responses about private concerns for sharing data, I have decided to create something different than a website where I would need to keep users' data.
I am thinking about creating a:
- python pip library that will easily export the data out of kobo. I it will also get the page turns out of it since that is encoded. The pip library will decode.
- support exporting data from multiple KoboReader.db files. This will be great if you have backups.
- this pip library will also allow us to run notebooks in a docker container. Notebooks will provide very detail information about your reading. There are so many plots I want to do, the one you have in that picture is one of them
- all data will be kept locally so no sharing of data going on. Keeping your data and having it exported from the device so you can save it.
Maybe one day, I can use ndriver script to automate exporting the data automatically from kobo without a computer.