Skip to main content

Simple text prompts and validation for user input

Project description

Background

Interactive command-line programs need to query users for information, be it text, choices from a list, or simple yes-or-no answers. qanda is a Python module of simple functions to prompt users for such information, allowing validation and cleanup of answers, default responses, consistent formatting and presentation of help text, hints and choices. It is not a replacement for textual interfaces like curses and urwid, but intended solely for simple console scripts with user input is required.

Installation

The simplest way to install qanda is via easy_install or an equivalent program:

% easy_install qanda

Alternatively the tarball can be downloaded, unpacked and setup.py run:

% tar zxvf qanda.tgz
% cd qanda
% python set.py install

qanda has no requisites and should work with just about any version of Python.

Using qanda

Examples

>>> from qanda import prompt
>>> prompt.string ("What is your name")
What is your name: Foo
>>> fname = prompt.string ("Your friends name is",
                help="I need to know your friends name as well before I talk to you.",
                hints="first name",
                default='Bar',
        )

I need to know your friends name as well before I talk to you.
Your friends name is (first name) [Bar]:
>>> print fname
Bar
>>> years = prompt.integer ("And what is your age", min=1, max=100)
And what is your age: 101
A problem: 101 is higher than 100. Try again ...
And what is your age: 28

Central concepts

qanda packages all question-asking methods in a Session class. This allows the appearance and functioning of all these methods to be handled consistently and modified centrally. However, you don’t necessarily have to create a Session to use it - there’s pre-existing Session in the variable called prompt:

>>> from qanda import Session
>>> s = Session()
>>> from qanda import prompt
>>> type (prompt)
<class 'qanda.session.Session'>

The question methods are named after the type of data they elicit:

>>> print type(prompt.integer ("Pick a number"))
Pick a number: 2
<type 'int'>
>>> print type(prompt.string ("Pick a name"))
Pick a name: Bob
<type 'string'>

Many of the question methods with accept a list of “converters”, each of which is used to sucessively transform or validate user input. If input fails validation, the question is posed again. qanda supplies a number of basic validators:

ToInt, ToFloat

Convert inputs to other types

Regex

nly allow values that match a certain pattern

Range

Check that input falls within given bounds

Length

Check that input length falls within given bounds

Synonyms

Map values to other values

Vocab

Ensure values fall within a fixed set

References

[qanda-home]

qanda home page http://www.agapow.net/software/py-qanda

[qanda-pypi]

qanda on PyPi

History

v0.1dev (20110624)

  • Initial release, sure to be buggy and incomplete

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qanda-0.1dev.tar.gz (61.9 kB view details)

Uploaded Source

File details

Details for the file qanda-0.1dev.tar.gz.

File metadata

  • Download URL: qanda-0.1dev.tar.gz
  • Upload date:
  • Size: 61.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for qanda-0.1dev.tar.gz
Algorithm Hash digest
SHA256 77c8f597f5b69c79810630ff87e282988e98f08ac0b070f192e376d57f7f23e6
MD5 26ebeda5ba45d953777533dadfd31923
BLAKE2b-256 051a3e44f9eff0ee4ccf76ba97124fb4d98d6648a4af2b74d281f06955c1111e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page