Benjamin_Loison/YouTube_Audio_library_extractor
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Precise different possibilities in media_files_extractor.py to manage duplicates

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Benjamin Loison 2023-02-04 16:14:49 +01:00
parent a327e8fdb2
commit 73a8d77a32
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8
1 changed files with 4 additions and 2 deletions
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media_files_extractor.py
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@ -17,8 +17,10 @@ browser.get('https://studio.youtube.com/channel/UC/music')
For `Music` tab, YouTube UI returns 3,000 entries while my reverse-engineering approach returns 5,819 entries.
For `Sound effects` tab, YouTube UI returns 400 entries while my reverse-engineering approach returns 2021 entries.
So I assume YouTube UI pagination doesn't work fine, so to retrieve all media files, the idea is to filter by `Track title` and download all returned entries, as some tracks have the same titles.
We could verify the `trackId` or `viperId` to avoid downloading other media files containing the provided title.
So I assume YouTube UI pagination doesn't work fine, so to retrieve all media files (for `Music`), the idea is to filter by `Track title` and download one entry that perfectly (not just `contains`) matches `artist/name`, `title` and `duration/nanos` (converted if only `seconds`), as some tracks have the same titles.
Only `trackId` and `viperId` differ when identifying with `artist/name`, `title` and `duration/nanos` (cf above comment) (example: `Dyalla_Ringside_116`), as I verified all duplicates, they are binary identical.
So we will have to duplicate the media file with the different `trackId`s for files being *identitcal* (note that `trackId`, as well as `viperId` are uniquely identified).
Otherwise I could clean the metadata by removing duplicates (but then if we update the database we have to make sure that ids that we have kept are still kept).
"""
with open('music.json') as json_file: