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This is Day 10 of the #100DaysOfPython challenge.
This post will use the PyInquirer library to demonstrate how to add some command line prompts to make it easier to build an interactive program.
It will build off the work done on learning Python Fire basics in a previous blog post.
Prerequisites
- Familiarity with Pipenv. See here for my post on Pipenv.
- Building CLIs with Python.
Getting started
This code works off what was done in Building CLIs with Python.
You should already have the code. In that blog post, all code was posted into a hello-fire directory with cli.py as the main file with a few dependencies already installed.
The code is available on my GitHub repo.
We are going to add the PyInquirer to our dependencies to use in the cli.py file:
# Add the lib
$ pipenv install pyinquirer
At this stage, we had a cli.py file that looks like the following:
#!/usr/bin/env python
import fire
class IngestionStage(object):
def run(self):
return 'Ingesting! Nom nom nom...'
class DigestionStage(object):
def __init__(self):
self.satiated = False
def run(self, volume: int = 1) -> str:
self.satiated = True
return ' '.join(['Burp!'] * volume)
def status(self):
return 'Satiated.' if self.satiated else 'Not satiated.'
class Pipeline(object):
def __init__(self):
self.ingestion = IngestionStage()
self.digestion = DigestionStage()
def run(self):
print(self.ingestion.run())
print(self.digestion.run())
print(self.digestion.status())
return 'Pipeline complete'
if __name__ == '__main__':
fire.Fire(Pipeline)
Opening the virtual environment and running python cli.py [command] would run the program (ie python cli.py digestion run would output Burp!).
Simple input prompt
For our first prompt, we are going to update the DigestionStage class run method to default to 0 burps and request that we provide a volume.
We do this with Python Fire as a call without an value for the argument would raise an error.
We can import the prompt function and use that to get the input:
from PyInquirer import prompt
# ... omitted for brevity
class DigestionStage(object):
def __init__(self):
self.satiated = False
# Update code with prompt question here
def run(self, volume: int = 0) -> str:
questions = [
{
'type': 'input',
'name': 'volume',
'message': 'How many burps?',
}
]
if volume == 0:
volume = int(prompt(questions)['volume'])
self.satiated = True
return ' '.join(['Burp!'] * volume)
def status(self):
return 'Satiated.' if self.satiated else 'Not satiated.'
Now if we run our command line call python cli.py digestion run:
$ python cli.py digestion run
? How many burps? 5
Burp! Burp! Burp! Burp! Burp!
A simple input prompt is all we need to get started.
Note: We could have simply removed volume altogether but we have left is so that Python Fire can cast the input into an int via a flag --volume without a prompt.
$ python cli.py digestion run --volume=10
# ... no prompt
Burp! Burp! Burp! Burp! Burp! Burp! Burp! Burp! Burp! Burp!
Working with dialogs
Prompt toolkit also comes with a way to create dialogs. There are choices between simple yes/no dialogs to helps for lists of options that operate as a "radio" or "checkbox".
Update the DigestionStage to look like the following:
class DigestionStage(object):
def __init__(self):
self.satiated = False
def run(self, volume: int = 0) -> str:
questions = [
{
'type': 'input',
'name': 'volume',
'message': 'How many burps?',
}
]
if volume == 0:
volume = int(prompt(questions)['volume'])
self.satiated = True
return ' '.join(['Burp!'] * volume)
# Update function with dialog questions here
def breakfast(self):
questions = [
{
'type': 'list',
'name': 'breakfast',
'message': 'What did you want for breakfast?',
'choices': ['eggs', 'bacon', 'toast']
}
]
# We are going to use associative arrays to switch on the value of the key
# to determine how many burps are required
switcher = {
'eggs': 1,
'bacon': 2,
'toast': 3,
}
volume = switcher.get(prompt(questions)['breakfast'], 0)
self.satiated = True
return ' '.join(['Burp!'] * volume)
def status(self):
return 'Satiated.' if self.satiated else 'Not satiated.'
We have no added digestion breakfast command that we can run with python run digestion breakfast:
$ python cli.py digestion breakfast
? What did you want for breakfast? bacon
Burp! Burp!
$ python cli.py digestion breakfast
? What did you want for breakfast? eggs
Burp!
$ python cli.py digestion breakfast
? What did you want for breakfast? toast
Burp! Burp! Burp!
Now we have a digestion breakfast command that will run the breakfast method and output the result of our input into the dialog.
Summary
We have used PyInquirer to demo a simple command line input as well as a way to pick an option from a list.
There are many examples that they have on their GitHub if you would like to learn more.
Resources and further reading
- The ABCs of Pipenv
- Building CLIs with Python Fire
- Pipenv
- PyInquirer
- More examples of PyInquirer
- Python Fire
Photo credit: pawel_czerwinski
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