integrityCheckarr
cinemagoer
integrityCheckarr | cinemagoer | |
---|---|---|
2 | 3 | |
13 | 1,195 | |
- | 0.9% | |
0.0 | 7.1 | |
about 1 year ago | about 2 months ago | |
Python | Python | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 only |
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integrityCheckarr
- Scheduled check for corrupted files
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New Arr Tool: IntegrityCheckarr
I've just recently published the project IntegrityCheckarr on GitHub to address this problem with a new tool for the Arr-universe!
cinemagoer
- [OC]IMDB Top 30 movies: cast death rate
- I have created a program to keep track of the movies I watch this year with Tkinter and Sqlite3
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Creating an autocomplete search form (probably w/ jQuery) using a comprehensive (huge) movie title list (Django project) from IMDBPy
I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
What are some alternatives?
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jumpstarter
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linkedin_scraper - A library that scrapes Linkedin for user data
ElasticTMDB - ElasticTMDB is a Python3 module which sources movie and TV show details from The Movie Database (TMDB) and caches them in an Elasticsearch index to speed up subsequent queries to the same title
perplex - A Movie Renamer for Plex Metadata