[Plugin]E2m3u2bouquet

[Hannibal_Lecter]

UPDATE
1.9.0

1) Fixed bouquet customization mode using template. My mistake, please forgive me =) ... was “broken” while optimizing the m3u-parser code. It's all fixed, it's all checked out. Works as it should

thanks Dorik1972

[Hannibal_Lecter]

UPDATE
1.9.1

1) Fixed occurrence of 'nwame' error in DEBUG logging mode when using template mode

2) Unified the list of available folders for users to select/save files. The following folders are not available for users to choose: “/bin”, “/boot”, “/dev”, “/lib”, “/proc”, “/run”, “/sbin”, “/sys”, “/var”, “/usr”, “/picon”, “/piconlcd”. So you can't store your playlists in any of these folders, they won't be available for selection in the plugin menu

3) Small adjustments to the skins and display of various items in the plugin menu

4) Completely replaced and rewritten the code responsible for auto-selection of EPG “by similarity”. Now a faster mathematical algorithm for finding “similarity” is used (Jaro–Winkler similarity is used now instead of Damerau–Levenshtein distance), and you can specify the degree of search accuracy (not lower than the specified one) in percent in the playlist settings menu



Available range of similarity recognition accuracy from 75 to 100% (100% is an absolute match)

5) Minor changes in the code responsible for loading picons. The speed of processing and loading of picons is slightly increased.

6) Added translations of all locales due to the above changes

enigma2-plugin-extensions-e2m3u2bouquet_1.9.1_all
https://fastupload.io/df4e53863a7430e7

enigma2-plugin-extensions-e2m3u2bouquet_1.9.1_all.deb
https://fastupload.io/c010e364deb93b86

[Hannibal_Lecter]

UPDATE
1.9.2

1) Complete refactoring of the code responsible for auto-selecting descriptions from EPG.

2) Now you will have access to two of the fastest algorithms for finding “similarity” ... they are fundamentally different in terms of math, but give excellent results in terms of finding and evaluating “similarity”

a) - Jaro-Winkler - excellent and fast for short strings (channel names)

b) - TF-IDF - this “math” is what you encounter almost every day when you ask Uncle Google to find something you type into the search bar ... i.e. it is a basic algorithm that allows you to find documents (texts) that “that set of words” that you typed into the search bar is the “document/text” that you are looking for ... Works well and fast on large strings/texts (channel names)



c) auto - the plugin itself analyzes the length of the compared channel names and applies one of the available algorithms for each of the channel names

You can now combine “options” for auto-fit “similarity”, both in terms of speed and accuracy of results depending on your playlist and the EPG you are using

3) Small changes in EPG import algorithm
4) Updated all locales related to changes in the plugin menu


enigma2-plugin-extensions-e2m3u2bouquet_1.9.2_all.deb
enigma2-plugin-extensions-e2m3u2bouquet_1.9.2_all.ipk

Download
https://www.swisstransfer.com/d/12b6e39 ... 484ba5cdca

[Hannibal_Lecter]

UPDATE
1..9.3

1) Added support for Python 3.13-based images
2) Minor edits to the Greek locale

[Hannibal_Lecter]

UPDATE 1.9.4

1) A small fix to the regexp of the M3U parser.
2) In playlists settings added the ability to set the number of threads to process/download picons.



Previously, their number was statically set and applied to all playlists similarly. Now you can “play” with this parameter for each playlist to achieve the best results in the processing speed. Be careful when selecting the value of this parameter. Increasing the number of processing threads does not always lead to qualitative improvements in processing/downloading performance
3) System settings concerning IPTV have been added to the plugin settings. They will be displayed in the plugin settings menu only if they are supported by the Enigma2 image you are using



Even if in your Rnigma2 image, these settings are in the testing and experimentation phase and may not always work correctly. These settings have been added for the future
4) Small code optimization was performed