2.2 KiB
2.2 KiB
lttrpy
A CLI Python script to compare Letterboxd users' watched films, with ratings and likes.
Usage
python lttrpy.py user1 [user2 ...]
Output
Writes the comparison tables in a Github-flavoured Markdown file.
Sample output:
110 common films for user1, user2, user3.
| Film title | user1's rating | user2's rating | user3's rating |
|---|---|---|---|
| Waking Life | ★★★★★ (liked) | ★★★★★ (liked) | n/r |
| The Revenant | ★★★★½ | n/r | ★★★ |
| The Grand Budapest Hotel | ★★★★½ (liked) | ★★★★★ (liked) | n/r |
| Léon: The Professional | ★★★★ | n/r | n/r |
| Hercules | n/r | n/r | ★★★★ |
| Baby Driver | ★★★★½ (liked) | ★★★ | n/r |
| Now You See Me | ★★★½ | n/r | (liked) |
| X2 | n/r | n/r | n/r |
There's an effort to make the source tables have constant column width, but the Unicode stars usually mess that up.
Requirements
- Python >= 3.9
aiohttplxml
- (optional)
uvloop- speeds up async, Linux and MacOS only
TODO:
- Features:
- Sort by:
- Alphabetic order
- Has rating/like/review
- Sort by numerical rating (unicode ★½ to str)
- Common ratings
- Film year
- New output formats:
- Directly to HTML
- Display reviews
- Interactive mode
- Sort by:
- Improvements:
- More verbosity during stages (fancy progress bars?)
- rewrite the profile class to create instances of the film class
so that the film class can then pull film year, reviews, etc
- Long-term goals:
- Create a locally-served interactive app