Welcome to the Python Fire guide! Python Fire is a Python library that will turn
any Python component into a command line interface with just a single call to
Fire
.
Let's get started!
To install Python Fire from pypi, run:
pip install fire
Alternatively, to install Python Fire from source, clone the source and run:
python setup.py install
The easiest way to use Fire is to take any Python program, and then simply call
fire.Fire()
at the end of the program. This will expose the full contents of
the program to the command line.
import fire
def hello(name):
return 'Hello {name}!'.format(name=name)
if __name__ == '__main__':
fire.Fire()
Here's how we can run our program from the command line:
$ python example.py hello World
Hello World!
Let's modify our program slightly to only expose the hello
function to the
command line.
import fire
def hello(name):
return 'Hello {name}!'.format(name=name)
if __name__ == '__main__':
fire.Fire(hello)
Here's how we can run this from the command line:
$ python example.py World
Hello World!
Notice we no longer have to specify to run the hello
function, because we
called fire.Fire(hello)
.
We can alternatively write this program like this:
import fire
def hello(name):
return 'Hello {name}!'.format(name=name)
def main():
fire.Fire(hello)
if __name__ == '__main__':
main()
Or if we're using entry points, then simply this:
import fire
def hello(name):
return 'Hello {name}!'.format(name=name)
def main():
fire.Fire(hello)
If you have a file example.py
that doesn't even import fire:
def hello(name):
return 'Hello {name}!'.format(name=name)
Then you can use it with Fire like this:
$ python -m fire example hello --name=World
Hello World!
You can also specify the filepath of example.py rather than its module path, like so:
$ python -m fire example.py hello --name=World
Hello World!
In the previous example, we exposed a single function to the command line. Now we'll look at ways of exposing multiple functions to the command line.
The simplest way to expose multiple commands is to write multiple functions, and then call Fire.
import fire
def add(x, y):
return x + y
def multiply(x, y):
return x * y
if __name__ == '__main__':
fire.Fire()
We can use this like so:
$ python example.py add 10 20
30
$ python example.py multiply 10 20
200
You'll notice that Fire correctly parsed 10
and 20
as numbers, rather than
as strings. Read more about argument parsing here.
In version 1 we exposed all the program's functionality to the command line. By using a dict, we can selectively expose functions to the command line.
import fire
def add(x, y):
return x + y
def multiply(x, y):
return x * y
if __name__ == '__main__':
fire.Fire({
'add': add,
'multiply': multiply,
})
We can use this in the same way as before:
$ python example.py add 10 20
30
$ python example.py multiply 10 20
200
Fire also works on objects, as in this variant. This is a good way to expose multiple commands.
import fire
class Calculator(object):
def add(self, x, y):
return x + y
def multiply(self, x, y):
return x * y
if __name__ == '__main__':
calculator = Calculator()
fire.Fire(calculator)
We can use this in the same way as before:
$ python example.py add 10 20
30
$ python example.py multiply 10 20
200
Fire also works on classes. This is another good way to expose multiple commands.
import fire
class Calculator(object):
def add(self, x, y):
return x + y
def multiply(self, x, y):
return x * y
if __name__ == '__main__':
fire.Fire(Calculator)
We can use this in the same way as before:
$ python example.py add 10 20
30
$ python example.py multiply 10 20
200
Why might you prefer a class over an object? One reason is that you can pass arguments for constructing the class too, as in this broken calculator example.
import fire
class BrokenCalculator(object):
def __init__(self, offset=1):
self._offset = offset
def add(self, x, y):
return x + y + self._offset
def multiply(self, x, y):
return x * y + self._offset
if __name__ == '__main__':
fire.Fire(BrokenCalculator)
When you use a broken calculator, you get wrong answers:
$ python example.py add 10 20
31
$ python example.py multiply 10 20
201
But you can always fix it:
$ python example.py add 10 20 --offset=0
30
$ python example.py multiply 10 20 --offset=0
200
Unlike calling ordinary functions, which can be done both with positional arguments and named arguments (--flag syntax), arguments to __init__ functions must be passed with the --flag syntax. See the section on calling functions for more.
Here's an example of how you might make a command line interface with grouped commands.
class IngestionStage(object):
def run(self):
return 'Ingesting! Nom nom nom...'
class DigestionStage(object):
def run(self, volume=1):
return ' '.join(['Burp!'] * volume)
def status(self):
return 'Satiated.'
class Pipeline(object):
def __init__(self):
self.ingestion = IngestionStage()
self.digestion = DigestionStage()
def run(self):
self.ingestion.run()
self.digestion.run()
return 'Pipeline complete'
if __name__ == '__main__':
fire.Fire(Pipeline)
Here's how this looks at the command line:
$ python example.py run
Ingesting! Nom nom nom...
Burp!
$ python example.py ingestion run
Ingesting! Nom nom nom...
$ python example.py digestion run
Burp!
$ python example.py digestion status
Satiated.
You can nest your commands in arbitrarily complex ways, if you're feeling grumpy or adventurous.
In the examples we've looked at so far, our invocations of python example.py
have all run some function from the example program. In this example, we simply
access a property.
from airports import airports
import fire
class Airport(object):
def __init__(self, code):
self.code = code
self.name = dict(airports).get(self.code)
self.city = self.name.split(',')[0] if self.name else None
if __name__ == '__main__':
fire.Fire(Airport)
Now we can use this program to learn about airport codes!
$ python example.py --code=JFK code
JFK
$ python example.py --code=SJC name
San Jose-Sunnyvale-Santa Clara, CA - Norman Y. Mineta San Jose International (SJC)
$ python example.py --code=ALB city
Albany-Schenectady-Troy
By the way, you can find this airports module here.
When you run a Fire CLI, you can take all the same actions on the result of the call to Fire that you can take on the original object passed in.
For example, we can use our Airport CLI from the previous example like this:
$ python example.py --code=ALB city upper
ALBANY-SCHENECTADY-TROY
This works since upper
is a method on all strings.
So, if you want to set up your functions to chain nicely, all you have to do is have a class whose methods return self. Here's an example.
import fire
class BinaryCanvas(object):
"""A canvas with which to make binary art, one bit at a time."""
def __init__(self, size=10):
self.pixels = [[0] * size for _ in range(size)]
self._size = size
self._row = 0 # The row of the cursor.
self._col = 0 # The column of the cursor.
def __str__(self):
return '\n'.join(' '.join(str(pixel) for pixel in row) for row in self.pixels)
def show(self):
print(self)
return self
def move(self, row, col):
self._row = row % self._size
self._col = col % self._size
return self
def on(self):
return self.set(1)
def off(self):
return self.set(0)
def set(self, value):
self.pixels[self._row][self._col] = value
return self
if __name__ == '__main__':
fire.Fire(BinaryCanvas)
Now we can draw stuff :).
$ python example.py move 3 3 on move 3 6 on move 6 3 on move 6 6 on move 7 4 on move 7 5 on
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 1 0 0 0
0 0 0 0 1 1 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
It's supposed to be a smiley face.
You'll notice in the BinaryCanvas example, the canvas with the smiley face was
printed to the screen. You can determine how a component will be serialized by
defining its __str__
method.
If a custom __str__
method is present on the final component, the object is
serialized and printed. If there's no custom __str__
method, then the help
screen for the object is shown instead.
Yes, this program is even simpler than our original Hello World example.
import fire
english = 'Hello World'
spanish = 'Hola Mundo'
fire.Fire()
You can use it like this:
$ python example.py english
Hello World
$ python example.py spanish
Hola Mundo
Arguments to a constructor are passed by name using flag syntax --name=value
.
For example, consider this simple class:
import fire
class Building(object):
def __init__(self, name, stories=1):
self.name = name
self.stories = stories
def climb_stairs(self, stairs_per_story=10):
for story in range(self.stories):
for stair in range(1, stairs_per_story):
yield stair
yield 'Phew!'
yield 'Done!'
if __name__ == '__main__':
fire.Fire(Building)
We can instantiate it as follows: python example.py --name="Sherrerd Hall"
Arguments to other functions may be passed positionally or by name using flag syntax.
To instantiate a Building
and then run the climb_stairs
function, the
following commands are all valid:
$ python example.py --name="Sherrerd Hall" --stories=3 climb_stairs 10
$ python example.py --name="Sherrerd Hall" climb_stairs --stairs_per_story=10
$ python example.py --name="Sherrerd Hall" climb_stairs --stairs-per-story 10
$ python example.py climb-stairs --stairs-per-story 10 --name="Sherrerd Hall"
You'll notice that hyphens and underscores (-
and _
) are interchangeable in
member names and flag names.
You'll also notice that the constructor's arguments can come after the function's arguments or before the function.
You'll also notice that the equal sign between the flag name and its value is optional.
Fire supports functions that take *varargs or **kwargs. Here's an example:
import fire
def order_by_length(*items):
"""Orders items by length, breaking ties alphabetically."""
sorted_items = sorted(items, key=lambda item: (len(str(item)), str(item)))
return ' '.join(sorted_items)
if __name__ == '__main__':
fire.Fire(order_by_length)
To use it, we run:
$ python example.py dog cat elephant
cat dog elephant
You can use a separator to indicate that you're done providing arguments to a
function. All arguments after the separator will be used to process the result
of the function, rather than being passed to the function itself. The default
separator is the hyphen -
.
Here's an example where we use a separator.
$ python example.py dog cat elephant - upper
CAT DOG ELEPHANT
Without the separator, upper would have been treated as another argument.
$ python example.py dog cat elephant upper
cat dog upper elephant
You can change the separator with the --separator
flag. Flags are always
separated from your Fire command by an isolated --
. Here's an example where we
change the separator.
$ python example.py dog cat elephant X upper -- --separator=X
CAT DOG ELEPHANT
Separators can be useful when a function accepts *varargs, **kwargs, or
default values that you don't want to specify. It is also important to remember
to change the separator if you want to pass -
as an argument.
The types of the arguments are determined by their values, rather than by the function signature where they're used. You can pass any Python literal from the command line: numbers, strings, tuples, lists, dictionaries, (sets are only supported in some versions of Python). You can also nest the collections arbitrarily as long as they only contain literals.
To demonstrate this, we'll make a small example program that tells us the type of any argument we give it:
import fire
fire.Fire(lambda obj: type(obj).__name__)
And we'll use it like so:
$ python example.py 10
int
$ python example.py 10.0
float
$ python example.py hello
str
$ python example.py '(1,2)'
tuple
$ python example.py [1,2]
list
$ python example.py True
bool
$ python example.py {name:David}
dict
You'll notice in that last example that bare-words are automatically replaced with strings.
Be careful with your quotes! If you want to pass the string "10"
, rather than
the int 10
, you'll need to either escape or quote your quotes. Otherwise Bash
will eat your quotes and pass an unquoted 10
to your Python program, where
Fire will interpret it as a number.
$ python example.py 10
int
$ python example.py "10"
int
$ python example.py '"10"'
str
$ python example.py "'10'"
str
$ python example.py \"10\"
str
Be careful with your quotes! Remember that Bash processes your arguments first,
and then Fire parses the result of that.
If you wanted to pass the dict {"name": "David Bieber"}
to your program, you
might try this:
$ python example.py '{"name": "David Bieber"}' # Good! Do this.
dict
$ python example.py {"name":'"David Bieber"'} # Okay.
dict
$ python example.py {"name":"David Bieber"} # Wrong. This is parsed as a string.
str
$ python example.py {"name": "David Bieber"} # Wrong. This isn't even treated as a single argument.
<error>
$ python example.py '{"name": "Justin Bieber"}' # Wrong. This is not the Bieber you're looking for. (The syntax is fine though :))
dict
The tokens True
and False
are parsed as boolean values.
You may also specify booleans via flag syntax --name
and --noname
, which set
name
to True
and False
respectively.
Continuing the previous example, we could run any of the following:
$ python example.py --obj=True
bool
$ python example.py --obj=False
bool
$ python example.py --obj
bool
$ python example.py --noobj
bool
Be careful with boolean flags! If a token other than another flag immediately
follows a flag that's supposed to be a boolean, the flag will take on the value
of the token rather than the boolean value. You can resolve this: by putting a
separator after your last flag, by explicitly stating the value of the boolean
flag (as in --obj=True
), or by making sure there's another flag after any
boolean flag argument.
Fire CLIs all come with a number of flags. These flags should be separated from
the Fire command by an isolated --
. If there is at least one isolated --
argument, then arguments after the final isolated --
are treated as flags,
whereas all arguments before the final isolated --
are considered part of the
Fire command.
One useful flag is the --interactive
flag. Use the --interactive
flag on any
CLI to enter a Python REPL with all the modules and variables used in the
context where Fire
was called already available to you for use. Other useful
variables, such as the result of the Fire command will also be available. Use
this feature like this: python example.py -- --interactive
.
You can add the help flag to any command to see help and usage information. Fire
incorporates your docstrings into the help and usage information that it
generates. Fire will try to provide help even if you omit the isolated --
separating the flags from the Fire command, but may not always be able to, since
help
is a valid argument name. Use this feature like this: python example.py -- --help
or python example.py --help
(or even python example.py -h
).
The complete set of flags available is shown below, in the reference section.
Setup | Command | Notes |
---|---|---|
install | pip install fire |
Creating a CLI | Command | Notes |
---|---|---|
import | import fire |
|
Call | fire.Fire() |
Turns the current module into a Fire CLI. |
Call | fire.Fire(component) |
Turns component into a Fire CLI. |
Using a CLI | Command | Notes |
---|---|---|
Help | command -- --help |
Show help and usage information for the command. |
REPL | command -- --interactive |
Enter interactive mode. |
Separator | command -- --separator=X |
This sets the separator to X . The default separator is - . |
Completion | command -- --completion [shell] |
Generate a completion script for the CLI. |
Trace | command -- --trace |
Gets a Fire trace for the command. |
Verbose | command -- --verbose |
Include private members in the output. |
Note that flags are separated from the Fire command by an isolated --
arg.
Python Fire is not an official Google product.