auser
e2cdd0e5fc
Add files from 6a34355fda commit of FastLBRY-GTK notabug.org repo by jyamihud without the flbry/lbrynet binary
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
#####################################################################
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# #
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# THIS IS A SOURCE CODE FILE FROM A PROGRAM TO INTERACT WITH THE #
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# LBRY PROTOCOL ( lbry.com ). IT WILL USE THE LBRY SDK ( lbrynet ) #
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# FROM THEIR REPOSITORY ( https://github.com/lbryio/lbry-sdk ) #
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# WHICH I GONNA PRESENT TO YOU AS A BINARY. SINCE I DID NOT DEVELOP #
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# IT AND I'M LAZY TO INTEGRATE IN A MORE SMART WAY. THE SOURCE CODE #
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# OF THE SDK IS AVAILABLE IN THE REPOSITORY MENTIONED ABOVE. #
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# #
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# ALL THE CODE IN THIS REPOSITORY INCLUDING THIS FILE IS #
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# (C) J.Y.Amihud and Other Contributors 2021. EXCEPT THE LBRY SDK. #
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# YOU CAN USE THIS FILE AND ANY OTHER FILE IN THIS REPOSITORY UNDER #
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# THE TERMS OF GNU GENERAL PUBLIC LICENSE VERSION 3 OR ANY LATER #
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# VERSION. TO FIND THE FULL TEXT OF THE LICENSE GO TO THE GNU.ORG #
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# WEBSITE AT ( https://www.gnu.org/licenses/gpl-3.0.html ). #
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# #
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# THE LBRY SDK IS UNFORTUNATELY UNDER THE MIT LICENSE. IF YOU ARE #
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# NOT INTENDING TO USE MY CODE AND JUST THE SDK. YOU CAN FIND IT ON #
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# THEIR OFFICIAL REPOSITORY ABOVE. THEIR LICENSE CHOICE DOES NOT #
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# SPREAD ONTO THIS PROJECT. DON'T GET A FALSE ASSUMPTION THAT SINCE #
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# THEY USE A PUSH-OVER LICENSE, I GONNA DO THE SAME. I'M NOT. #
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# #
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# THE LICENSE CHOSEN FOR THIS PROJECT WILL PROTECT THE 4 ESSENTIAL #
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# FREEDOMS OF THE USER FURTHER, BY NOT ALLOWING ANY WHO TO CHANGE #
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# THE LICENSE AT WILL. SO NO PROPRIETARY SOFTWARE DEVELOPER COULD #
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# TAKE THIS CODE AND MAKE THEIR USER-SUBJUGATING SOFTWARE FROM IT. #
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# #
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#####################################################################
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import os
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import json
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# YouTube and similar dis-services use user data to generate suggestions
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# for users. I want to implement a similar convenience but totally offline.
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# So the privacy will be saved, while suggestions will be presented.
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from flbry import settings
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def record_tags_to_suggestions(tags):
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# This function will run everytime a person is clicking the download
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# button. Or everytime a person is loading an article. Or when launching
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# a livestream.
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print(tags)
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# Loading the already existing tags
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try:
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with open(settings.get_settings_folder()+'suggest_tags.json') as json_file:
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data = json.load(json_file)
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except:
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data = {}
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# Adding the new tags
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for tag in tags:
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if tag not in data:
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data[tag] = 1
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data[tag] = data[tag] * 1.7
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# Filter out irrelevant tags
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dels = []
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for tag in data:
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if tag not in tags:
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data[tag] = data[tag] * 0.6
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if data[tag] < 0.30:
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dels.append(tag)
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for tag in dels:
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del data[tag]
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# Saving the file
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with open(settings.get_settings_folder()+'suggest_tags.json', 'w') as fp:
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json.dump(data, fp, indent=4)
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def suggest():
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# This function will output a number of most visited tags based on the
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# tags file.
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# Loading the already existing tags
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try:
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with open(settings.get_settings_folder()+'suggest_tags.json') as json_file:
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data = json.load(json_file)
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except:
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data = {}
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#Then we sort the dictionary
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sortd = sorted(data.items(), key=lambda x:x[1], reverse=True)
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data = dict(sortd)
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# Creating a list
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tags = []
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for n, tag in enumerate(data):
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# We do not want all of the tags. Only a handfull.
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if n < 10:
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tags.append(tag)
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else:
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break
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# Give the tags back
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return tags
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