MobileRead Forums - View Single Post - Plugboard, template, and custom composite column recipes

Gary_M_Mugford · 01-07-2014, 03:10 PM

One of the reasons I still monitor this thread, long after Chaley provided me with the solution that I use to organize my Kindle books, is because of the enthusiasm and ideas that it is bringing forth. Particularly of late ESchwartz. Thank you for proving even the best solution can be improved upon.

Frankly, what little I have left on my desire list (some way to optionally cut off any incoming book's title at the first bracket/brace/parenthesis or colon) is to handle those tags a lot better as I transition them into my few primary tags (#tagsgm). As described earlier, I have saved searches that looks for uncategorized books and looks for terms inside tags. I then select all and edit in the tag category I believe them all to be. Running through my set of tagsGM takes me five minutes. But it leaves a LOT of books uncategorized, which I then manually assess and assign. THAT takes the time.

The issue is handling the tags terms. Biographies is different from Biographies & Memoirs is different from Biographies And Memoirs. And so on. I have the main terms covered. Fine-tuning it has proven beyond my capabilities and/or my time allowances. Still, this thread has re-invigorated that desire and I am more actively interested. I like the idea of a program that digests tags sets and produces a value in a created column. In delphi, I'd just split the tags into a stringlist, all caps. Then I would search each item for whether pos(searchterm, item.text) > 0 and then edit the created column for the pre-determined value. I'd be able to nest the searches in the order I WANT, so that Mysteries and Thrillers falls into the Mystery category rather than the Thriller category, no matter where that individual tag lands in the tag list. There's also the problem of Science Fiction Mysteries (which I would prefer to be in SF, rather than Mystery) having to be assigned in such a way (either by going first or last, depending on the methodology), so that I get the assignment I desire.

But Python is not Delphi and my knowledge is ... lacking. Doing the above, splitting the tag set, capitalizing the results and then comparing it to my tagsGM list, sub-term by sub-term is beyond me. But I'm watching your examples, playing with your programs. So keep up the work. Please.

You'll be helping more than ACGAuthor.

Thanks.

01-07-2014, 03:10 PM	#449
Gary_M_Mugford Groupie Posts: 180 Karma: 299 Join Date: Jul 2010 Location: Brampton ON Device: Kobo, Kindle3	One of the reasons I still monitor this thread, long after Chaley provided me with the solution that I use to organize my Kindle books, is because of the enthusiasm and ideas that it is bringing forth. Particularly of late ESchwartz. Thank you for proving even the best solution can be improved upon. Frankly, what little I have left on my desire list (some way to optionally cut off any incoming book's title at the first bracket/brace/parenthesis or colon) is to handle those tags a lot better as I transition them into my few primary tags (#tagsgm). As described earlier, I have saved searches that looks for uncategorized books and looks for terms inside tags. I then select all and edit in the tag category I believe them all to be. Running through my set of tagsGM takes me five minutes. But it leaves a LOT of books uncategorized, which I then manually assess and assign. THAT takes the time. The issue is handling the tags terms. Biographies is different from Biographies & Memoirs is different from Biographies And Memoirs. And so on. I have the main terms covered. Fine-tuning it has proven beyond my capabilities and/or my time allowances. Still, this thread has re-invigorated that desire and I am more actively interested. I like the idea of a program that digests tags sets and produces a value in a created column. In delphi, I'd just split the tags into a stringlist, all caps. Then I would search each item for whether pos(searchterm, item.text) > 0 and then edit the created column for the pre-determined value. I'd be able to nest the searches in the order I WANT, so that Mysteries and Thrillers falls into the Mystery category rather than the Thriller category, no matter where that individual tag lands in the tag list. There's also the problem of Science Fiction Mysteries (which I would prefer to be in SF, rather than Mystery) having to be assigned in such a way (either by going first or last, depending on the methodology), so that I get the assignment I desire. But Python is not Delphi and my knowledge is ... lacking. Doing the above, splitting the tag set, capitalizing the results and then comparing it to my tagsGM list, sub-term by sub-term is beyond me. But I'm watching your examples, playing with your programs. So keep up the work. Please. You'll be helping more than ACGAuthor. Thanks.