Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
Allow adding extra lines to separate commands/parameters
See original GitHub issueThis one might be niche, not that useful, and (maybe) annoying to implement. I decided to post it here anyway.
I noticed that when I have several commands, the help dialogue looks very busy and difficult to read:
╭─ Modules ────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ download-database Download the latest version of Genomad's database and save it in the DESTINATION │
│ directory. │
│ annotate Predict the genes in the INPUT file (FASTA format), annotate them using Genomad's │
│ markers (located in the DATABASE directory), and write the results to the OUTPUT │
│ directory. │
│ find-proviruses Find integrated viruses within the sequences in INPUT file using the Genomad markers │
│ (located in the DATABASE directory) and write the results to the OUTPUT directory. This │
│ command depends on the data generated by the annotate module. │
│ marker-classification Classify the sequences in the INPUT file (FASTA format) based on the presence of │
│ Genomad markers (located in the DATABASE directory) and write the results to the OUTPUT │
│ directory. This command depends on the data generated by the annotate module. │
│ nn-classification Classify the sequences in the INPUT file (FASTA format) using the Genomad neural │
│ network and write the results to the OUTPUT directory. │
│ aggregated-classification Aggregate the results of the marker-classification and nn-classification modules to │
│ classify the sequences in the INPUT file (FASTA format) and write the results to the │
│ OUTPUT directory. │
│ score-calibration Performs score calibration of the sequences in the INPUT file (FASTA format) using the │
│ batch correction method and write the results to the OUTPUT directory. This module │
│ requires that at least one of the classification modules was classified previously │
│ (marker-classification, nn-classification, aggregated-classification). │
│ summary Generates a classification report file for the sequences in the INPUT file (FASTA │
│ format) and write it to the OUTPUT directory. │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
If I add an additional line to separate the commands, the dialogue looks much better.
╭─ Modules ────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ download-database Download the latest version of Genomad's database and save it in the DESTINATION │
│ directory. │
│ │
│ annotate Predict the genes in the INPUT file (FASTA format), annotate them using Genomad's │
│ markers (located in the DATABASE directory), and write the results to the OUTPUT │
│ directory. │
│ │
│ find-proviruses Find integrated viruses within the sequences in INPUT file using the Genomad markers │
│ (located in the DATABASE directory) and write the results to the OUTPUT directory. This │
│ command depends on the data generated by the annotate module. │
│ │
│ marker-classification Classify the sequences in the INPUT file (FASTA format) based on the presence of │
│ Genomad markers (located in the DATABASE directory) and write the results to the OUTPUT │
│ directory. This command depends on the data generated by the annotate module. │
│ │
│ nn-classification Classify the sequences in the INPUT file (FASTA format) using the Genomad neural │
│ network and write the results to the OUTPUT directory. │
│ │
│ aggregated-classification Aggregate the results of the marker-classification and nn-classification modules to │
│ classify the sequences in the INPUT file (FASTA format) and write the results to the │
│ OUTPUT directory. │
│ │
│ score-calibration Performs score calibration of the sequences in the INPUT file (FASTA format) using the │
│ batch correction method and write the results to the OUTPUT directory. This module │
│ requires that at least one of the classification modules was classified previously │
│ (marker-classification, nn-classification, aggregated-classification). │
│ │
│ summary Generates a classification report file for the sequences in the INPUT file (FASTA │
│ format) and write it to the OUTPUT directory. │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Issue Analytics
- State:
- Created a year ago
- Reactions:1
- Comments:7 (7 by maintainers)
Top Results From Across the Web
How to Add Command Line Parameters to PC Game Shortcuts
First, create a shortcut for the EXE file if you don't see a game icon on the desktop. Then, right-click shortcut > Properties....
Read more >Split long commands in multiple lines through Windows batch ...
1. The line cmd1.bat && cmd2.bat is different from the parens form: execute cmd2.bat iff cmd1. · ( echo <line break here> hello...
Read more >Understanding Command Line Arguments and How to Use ...
Command line arguments are extra commands you can use when launching a program so that the program's functionality will change.
Read more >How to define commands in System.CommandLine
This article explains how to define commands, options, and arguments in command-line apps that are built with the System.CommandLine library ...
Read more >Quotes, Escape Characters, Delimiters - Windows CMD - SS64
Delimiters separate one parameter from the next - they split the command line up into words. Parameters are most often separated by spaces,...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
You’re too efficient. I can’t keep up hahaha. Thank you so much, @ewels!
I’ll try to contribute by figuring out how to fix the other aesthetic bugs that have been bothering me (https://github.com/ewels/rich-click/issues/35 and https://github.com/ewels/rich-click/issues/34), but they are much trickier than I was expecting.
Great! I set it up with
paddingandpad_edgealready (the latter set toFalseby default, which the best effect): https://github.com/ewels/rich-click/blob/95a35943ec36f39b45951e635540e4883258fdf2/src/rich_click/rich_click.py#L48-L49But I guess that there is still some other cell padding or something creeping in which could be finetuned to get exactly the right effect… But I didn’t spend ages looking as I thought it looked ok as it was 😅
Note that some of the table style settings only work when the box is set to something other than
None. I probably should have mentioned that in the readme somewhere. That’s why I set it toSIMPLEhere: https://github.com/ewels/rich-click/blob/95a35943ec36f39b45951e635540e4883258fdf2/examples/click/10_table_styles.py#L3-L4