PromptX
Whether you use dmenu, fzf, or rofi, PromptX gives you complete access to your favorite prompt program. As simple or complex as you like the choice is yours.
Installation
The usual way:
pip install promptx
Requires python3
Usage
Initialization
Without default args:
>>> p = PromptX("dmenu")
With default args:
>>> p = PromptX(prompt_cmd="dmenu", default_args="-l 20 -i")
What's the difference?
Well, if you initialize the PromptX object with default args they get
included every time you use the ask() method. This is nice if you
always want your prompt to look a certain way despite the question.
p.ask()
At it's most basic:
>>> choices = [ "1", "2", "3" ]
>>> response = p.ask(choices)
>>> print(response)
'1'
But there are some additional arguments that ask() takes. Here they
are in positional order.
options(List)
A list of options to present the user with. Not optional.
prompt(Optional[str])
The prompt to use when querying the user. The necessary flag will get
automatically added based on the prompt command used to initialize
PromptX.
additional_args(Optional[str])
Add additional arguments to the prompt command. Any additional arguments will get added before the prompt flag. These arguments must be a string. They will be appropriately split, just provide them as you would from the command line.
select(Optional[str])
User's may select multiple answers in any of the three supported prompt
commands. The default is to return the first selection they made. Here
are the options to change this behavior and the return type of ask():
- "first": Default Use "first" if you want the first option the user selected. Returns a string.
- "last": Use "last" if you want the last option the user selected. Returns a string.
- "all": Use "all" if you want all options the user selected. Returns a list of all selected options.
deliminator(Optional[str])
Default is "". This is the deliminator to use when joining your list of options.
p.add_args()
If you don't like that ask requires a string to add additional args then use this method with a list.
additional_args(List):
These args will get added to the PromptX object. By default these
arguments are not sticky, meaning they do not change the default args
that the object got initialized with.
default_args(Optional[bool])
If you want these arguments to get added to the default args then set
this to True.
Metadata
Release files for promptx 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| promptx-0.0.7.tar.gz | 15.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| promptx-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.8 kB
Release files / promptx-0.0.7.tar.gz
| Download URL | promptx-0.0.7.tar.gz |
|---|---|
| Size | 15.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
592555822159f03392d8b2c98464a61cfc9bda326e9a9669571110c8b67fc55d
|
|
BLAKE2b-256 checksum How to use checksums |
c5c430b5610c109d1413a1a72bfb692f77014e7c94fa9dfb36c3dfba8c5866b8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Release files / promptx-0.0.7-py3-none-any.whl
| Download URL | promptx-0.0.7-py3-none-any.whl |
|---|---|
| Size | 16.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7d2b212a374bd23162f00b63f2c8a38b93ed19d275df665d908fffe5c83a1897
|
|
BLAKE2b-256 checksum How to use checksums |
0cbafafea3bb8d76338b0a4581670116424b9de8cb8e096d9a00ac9a318e0fb2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Security for promptx 0.0.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.