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What the hell is this shit? Instead of pushing for the return to traditional pensions, capitalism is celebrating the idea that Millennials & Gen Z may simply never be able to stop working.

https://sh.itjust.works/post/7767129

What the hell is this shit? Instead of pushing for the return to traditional pensions, capitalism is celebrating the idea that Millennials & Gen Z may simply never be able to stop working. - sh.itjust.works

>Traditionally, retiring entails leaving the workforce permanently. However, experts found that the very definition of retirement is also changing between generations. > >About 41% of Gen Z and 44% of millennials — those who are currently between 27 and 42 years old — are significantly more likely to want to do some form of paid work during retirement. > >… > >This increasing preference for a lifelong income, could perhaps make the act of “retiring” obsolete. > >Although younger workers don’t intend to stop working, there is still an effort to beef up their retirement savings. It’s ok! Don’t ever retire! Just work until you die, preferably not at work, where we’d have to deal with the removal of your corpse.

It's real! He did exist!

https://sh.itjust.works/post/6743277

It's real! He did exist! - sh.itjust.works

I made a thing! A python script to delete old, unwatched movie/tv content from Sonarr/Radarr/Tautulli. (update)

https://sh.itjust.works/post/3653460

I made a thing! A python script to delete old, unwatched movie/tv content from Sonarr/Radarr/Tautulli. (update) - sh.itjust.works

About a year and a half ago I posted a script I made [https://www.reddit.com/r/PleX/comments/tb0acn/i_made_a_thing_a_python_script_to_delete_old/] for deleting movie content in your library not being watched. Folks really seemed to like it, and I still get comments on that thread every so often. So I’ve updated it! Far and away, the two biggest requests I got were: - Make it do TV, too - Make a dry-run mode The code is now available on github here: https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic] Even better, no installation is required. You can run it as a docker container like so: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] It now supports TV series as well. Thanks to a suggestion from /u/JimLahey-, I was able to get my head around the idea - I had always thought of managing TV shows as “collections of seasons” of media, but the reality is, if nobody has watched anything related to a TV show in a while, the whole thing can go! And that’s what this does: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.tv.unwatched.py [http://delete.tv.unwatched.py] No more editing python, either. Create yourself a .env [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic/blob/main/.env.example] file, set up all of your config, and even enable dry run mode, so you can test to your heart’s content: $ docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] DRY_RUN enabled! -------------------------------------- 2023-08-25T12:40:57.288608 DRY RUN: Chaos Walking | Radarr ID: 1445 | TMDB ID: 412656 DRY RUN: Captain Marvel | Radarr ID: 885 | TMDB ID: 299537 DRY RUN: Captain America: Civil War | Radarr ID: 1768 | TMDB ID: 271110 DRY RUN: Black Widow | Radarr ID: 1517 | TMDB ID: 497698 DRY RUN: Birds of Prey (and the Fantabulous Emancipation of One Harley Quinn) | Radarr ID: 1092 | TMDB ID: 495764 DRY RUN: Bill & Ted’s Excellent Adventure | Radarr ID: 1777 | TMDB ID: 1648 DRY RUN: Bill & Ted’s Bogus Journey | Radarr ID: 1778 | TMDB ID: 1649 DRY RUN: Big Hero 6 | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Big | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Batman Begins | Radarr ID: 1745 | TMDB ID: 272 DRY RUN: Assault on Precinct 13 | Radarr ID: 1212 | TMDB ID: 17814 DRY RUN: 21 Jump Street | Radarr ID: 1096 | TMDB ID: 64688 Total space reclaimed: 164.88GB Good luck! Please let me know if you have questions or problems and I’ll do my best to help out!

I made a thing! A python script to delete old, unwatched movie content. (update)

https://sh.itjust.works/post/3641291

I made a thing! A python script to delete old, unwatched movie content. (update) - sh.itjust.works

About a year and a half ago I posted a script I made [https://www.reddit.com/r/PleX/comments/tb0acn/i_made_a_thing_a_python_script_to_delete_old/] for deleting movie content in your library not being watched. Folks really seemed to like it, and I still get comments on that thread every so often. So I’ve updated it! Far and away, the two biggest requests I got were: - Make it do TV, too - Make a dry-run mode The code is now available on github here: https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic] Even better, no installation is required. You can run it as a docker container like so: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] It now supports TV series as well. Thanks to a suggestion from /u/JimLahey-, I was able to get my head around the idea - I had always thought of managing TV shows as “collections of seasons” of media, but the reality is, if nobody has watched anything related to a TV show in a while, the whole thing can go! And that’s what this does: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.tv.unwatched.py [http://delete.tv.unwatched.py] No more editing python, either. Create yourself a .env [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic/blob/main/.env.example] file, set up all of your config, and even enable dry run mode, so you can test to your heart’s content: $ docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] DRY_RUN enabled! -------------------------------------- 2023-08-25T12:40:57.288608 DRY RUN: Chaos Walking | Radarr ID: 1445 | TMDB ID: 412656 DRY RUN: Captain Marvel | Radarr ID: 885 | TMDB ID: 299537 DRY RUN: Captain America: Civil War | Radarr ID: 1768 | TMDB ID: 271110 DRY RUN: Black Widow | Radarr ID: 1517 | TMDB ID: 497698 DRY RUN: Birds of Prey (and the Fantabulous Emancipation of One Harley Quinn) | Radarr ID: 1092 | TMDB ID: 495764 DRY RUN: Bill & Ted’s Excellent Adventure | Radarr ID: 1777 | TMDB ID: 1648 DRY RUN: Bill & Ted’s Bogus Journey | Radarr ID: 1778 | TMDB ID: 1649 DRY RUN: Big Hero 6 | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Big | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Batman Begins | Radarr ID: 1745 | TMDB ID: 272 DRY RUN: Assault on Precinct 13 | Radarr ID: 1212 | TMDB ID: 17814 DRY RUN: 21 Jump Street | Radarr ID: 1096 | TMDB ID: 64688 Total space reclaimed: 164.88GB Good luck! Please let me know if you have questions or problems and I’ll do my best to help out!

I made a thing! A python script to delete old, unwatched movie content. (update)

https://sh.itjust.works/post/3641289

I made a thing! A python script to delete old, unwatched movie content. (update) - sh.itjust.works

About a year and a half ago I posted a script I made [https://www.reddit.com/r/PleX/comments/tb0acn/i_made_a_thing_a_python_script_to_delete_old/] for deleting movie content in your library not being watched. Folks really seemed to like it, and I still get comments on that thread every so often. So I’ve updated it! Far and away, the two biggest requests I got were: - Make it do TV, too - Make a dry-run mode The code is now available on github here: https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic] Even better, no installation is required. You can run it as a docker container like so: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] It now supports TV series as well. Thanks to a suggestion from /u/JimLahey-, I was able to get my head around the idea - I had always thought of managing TV shows as “collections of seasons” of media, but the reality is, if nobody has watched anything related to a TV show in a while, the whole thing can go! And that’s what this does: docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.tv.unwatched.py [http://delete.tv.unwatched.py] No more editing python, either. Create yourself a .env [https://github.com/ASK-ME-ABOUT-LOOM/purgeomatic/blob/main/.env.example] file, set up all of your config, and even enable dry run mode, so you can test to your heart’s content: $ docker run --rm -it --env-file .env --network=host ghcr.io/ask-me-about-loom/purgeomatic:latest [http://ghcr.io/ask-me-about-loom/purgeomatic:latest] python delete.movies.unwatched.py [http://delete.movies.unwatched.py] DRY_RUN enabled! -------------------------------------- 2023-08-25T12:40:57.288608 DRY RUN: Chaos Walking | Radarr ID: 1445 | TMDB ID: 412656 DRY RUN: Captain Marvel | Radarr ID: 885 | TMDB ID: 299537 DRY RUN: Captain America: Civil War | Radarr ID: 1768 | TMDB ID: 271110 DRY RUN: Black Widow | Radarr ID: 1517 | TMDB ID: 497698 DRY RUN: Birds of Prey (and the Fantabulous Emancipation of One Harley Quinn) | Radarr ID: 1092 | TMDB ID: 495764 DRY RUN: Bill & Ted’s Excellent Adventure | Radarr ID: 1777 | TMDB ID: 1648 DRY RUN: Bill & Ted’s Bogus Journey | Radarr ID: 1778 | TMDB ID: 1649 DRY RUN: Big Hero 6 | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Big | Radarr ID: 71 | TMDB ID: 177572 DRY RUN: Batman Begins | Radarr ID: 1745 | TMDB ID: 272 DRY RUN: Assault on Precinct 13 | Radarr ID: 1212 | TMDB ID: 17814 DRY RUN: 21 Jump Street | Radarr ID: 1096 | TMDB ID: 64688 Total space reclaimed: 164.88GB Good luck! Please let me know if you have questions or problems and I’ll do my best to help out!

Can you recommend a service or container for doing disk analysis and reporting failure conditions?

https://sh.itjust.works/post/3432640

Can you recommend a service or container for doing disk analysis and reporting failure conditions? - sh.itjust.works

I recently stood up a new file server using ZFS on linux. I’d like to automate the disk checking in such a way that I can essentially ignore and have a service notify me when SMART or other indications are hitting failure or pre-fail levels. I’m not looking for a fancy GUI or web UI - a plain old config file would suit me just fine. In my ideal world, it would be a container I could simply spin up with minimal configuration, but I’m willing to give anything a try.

Is it possible to set the default view on Profile?

https://sh.itjust.works/post/3270758

Is it possible to set the default view on Profile? - sh.itjust.works

I comment more frequently than I post. Is there any way to set it to view comments by default? Even better, can we display a merged view of comments/posts in a single listing?

Have you ever stopped listening to an audiobook because the tone of the narrator was so annoying?

https://sh.itjust.works/post/116515

Have you ever stopped listening to an audiobook because the tone of the narrator was so annoying? - sh.itjust.works

I definitely noped out of a sci-fi audiobook (can’t recall the title) a few minutes into one. And I hated the one Expanse book that was narrated by Erik Davis - it was like listening to a robot.

What are you listening to now, and how?

https://sh.itjust.works/post/55319

What are you listening to now, and how? - sh.itjust.works

I’m a little over halfway through Children of Memory and loving it, listening on Audiobookshelf (🥰)