**Is your feature request related to a problem?
Yes and no, when restoring old sessions from backup and or merging with other services, duplicates does occur.
I find it rather peaceful to look for dupes and managing my sessions, a bit like gardening I assume, doesn't make it less of a hassle though.
Describe the solution you'd like
simply list duplicate sessions as a search result so it's easier to delete them
Now I do know the term "dupe" is somewhat subjective in this circumstance.
Absolute easiest's probably to make comparison of the JSON sub dataset into a string and make a string compare (excluding unique identifiers such as list position and date).
Would match title, URL, position, windows, tags etc.
ListA() = ListB()
additionally, it could be enhanced further with search modes;
subset detection - ListA() ⊇ ListB()
match only URLs - ListA(URL) = ListB(URL)
Of course this
might be rather resource heavy to make match of each session against each other session at least n^2, possibly better to have a SQLite interface and an index to match against.
Describe alternatives you've considered
import and export of sessions as a CSV or similarly DB consumer friendly format so one could do this one self.
Additional context
Add any other context or screenshots about the feature request here.
the-moog
commented
1 year ago
**Is your feature request related to a problem? Yes and no, when restoring old sessions from backup and or merging with other services, duplicates does occur. I find it rather peaceful to look for dupes and managing my sessions, a bit like gardening I assume, doesn't make it less of a hassle though.
Describe the solution you'd like simply list duplicate sessions as a search result so it's easier to delete them
Now I do know the term "dupe" is somewhat subjective in this circumstance.
Absolute easiest's probably to make comparison of the JSON sub dataset into a string and make a string compare (excluding unique identifiers such as list position and date). Would match title, URL, position, windows, tags etc. ListA() = ListB()
additionally, it could be enhanced further with search modes;
subset detection - ListA() ⊇ ListB() match only URLs - ListA(URL) = ListB(URL)
Of course this might be rather resource heavy to make match of each session against each other session at least n^2, possibly better to have a SQLite interface and an index to match against.
Describe alternatives you've considered import and export of sessions as a CSV or similarly DB consumer friendly format so one could do this one self.
Additional context Add any other context or screenshots about the feature request here.