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Project description
cli2: Dynamic CLI for Python 3
Break free from the POSIX standard for more fluent CLIs, by exposing simple Python functions or objects with a minimalist argument typing style, or building your own command try during runtime.
Getting Started
Create a command from any callable:
def yourcmd():
"""Your own command"""
cli = cli2.Command(yourcmd)No entry point
If you don’t want to use an entry point, you can execute your command as such which will print the result:
# without entry_point, you can call yourself
import sys
print(cli(*sys.argv[1:]))Even if you want to use an entry point, this kind of call can also be useful for testing:
from your.module import cli
def test_cli():
# simulate command: yourcmd some thing
assert cli('some', 'thing') == 'some result'Entry point
You may also use the .entry_point attribute of cli2.Command or cli2.Group to define a command with the clis entry point by adding something like that to your setup.py:
entry_points={
'console_scripts': [
'yourcmd = your.module:cli.entry_point',
],
},Command group
In the same fashing, you can create a command Group, and add Commands to it:
# or create a command group group
cli = cli2.Group()
# and add yourcmd to it
cli.cmd(yourcmd)
# or add a Command per callables of a module
cli.load(your.module)
# and/or add from an object to create a Command per method
cli.load(your_object)Type-casting
Type hinting is well supported, but you may also hack how arguments are casted into python values at a per argument level, set the cli2_argname attribute to attributes that you want to override on the generated Argument for argname.
You could cast any argument with JSON as such:
def yourcmd(x):
return x
yourcmd.cli2_x = dict(cast=lambda v: json.loads(v))
cmd = Command(yourcmd)
cmd(['[1,2]']) == [1, 2] # same as CLI: yourcmd [1,2]Or, override Argument.cast() for the ages argument:
def yourcmd(ages):
return ages
yourcmd.cli2_ages = dict(cast=lambda v: [int(i) for i in v.split(',')])
cmd = Command(yourcmd)
cmd(['1,2']) == [1, 2] # same as CLI: yourcmd 1,2If an argument is annotated with the list or dict type, then cli2 will use json.loads to cast them to Python arguments, but be careful with spaces on your command line: one sysarg goes to one argument:
yourcmd ["a","b"] # works yourcmd ["a", "b"] # does not because of the space
However, space is supported as long as in the same sysarg:
subprocess.check_call(['yourcmd', '["a", "b"]')Typable syntax
Arguments with the list type annotation are automatically parsed as JSON, if that fails it will try to split by commas which is easier to type than JSON for lists of strings:
yourcmd a,b # calls yourcmd(["a", "b"])
Keep in mind that JSON is tried first for list arguments, so a list of ints is also easy:
yourcmd [1,2] # calls yourcmd([1, 2])
A simple syntax is also supported for dicts by default:
yourcmd a:b,c:d # calls yourcmd({"a": "b", "c": "d"})
The disadvantage is that JSON decode exceptions are swallowed, but by design cli2 is supposed to make Python types more accessible on the CLI, rather than being a JSON validation tool. Generated JSON args should always work though.
Boolean flags
Cast to boolean is already supported by type-hinting, or with json (see above example), or with simple switches:
def yourcmd(debug=True):
pass
# prefixing dash not necessary at all
yourcmd.cli2_debug = dict(negate='-no-debug')
# or map this boolean to two simple switches
yourcmd.cli2_debug = dict(alias='-d', negate='-nd')Edge cases
Simple and common use cases were favored over rarer use cases by design. Know the couple of gotchas and you’ll be fine.
Args containing = when **kwargs is present
Simple use cases are favored over rarer ones when a callable has varkwargs.
When a callable has **kwargs as such:
def foo(x, **kwargs):
passThen, arguments that look like kwargs will be attracted to the kwargs argument, so if you want to call foo("a=b") then you need to call as such:
foo x=a=b
Because the following will call foo(a='b'), and fail because of missing x, which is more often than not what you want on the command line:
foo a=b
Now, even more of an edgy case when *args, **kwargs are used:
def foo(*args, **kwargs):
return (args, kwargs)Call foo("a", b="x") on the CLI as such:
foo a b=x
BUT, to call foo("a", "b=x") on the CLI you will need to use an asterisk with a JSON list as such:
foo '*["a","b=x"]'
Admittedly, the second use case should be pretty rare compared to the first one, so that’s why the first one is favored.
For the sake of consistency, varkwarg can also be specified with a double asterisk and a JSON dict as such:
# call foo("a", b="x")
foo a **{"b":"x"}
Calling with a="b=x" in (a=None, b=None)
The main weakness is that it’s difficult to tell the difference between a keyword argument, and a keyword argument passed positionnaly which value starts with the name of another keyword argument. Example:
def foo(a=None, b=None):
return (a, b)Call foo(b='x') on the CLI like this:
foo b=x
BUT, to call foo(a="b=x") on the CLI, you need to name the argument:
foo a=b=x
Admitadly, that’s a silly edge case. Protect yourself from it by always naming keyword arguments …
… Because the parser considers token that start with a keyword of a keyword argument prioritary to positional arguments once the positional arguments have all been bound.
Demo
Initially, cli2 was supposed to just bring Python callables on the CLI without even a single line of code:
cli2 path.to.your.callable arg1 kwarg1=value
This command was implemented again in this 10th rewrite of the CLI engine extracted from Playlabs, however this implementation features something pretty funny: cli2 is a Group subclass which overrides the default Group implementation based on the first argument passed on the command line.
Basically, when you call cli2 path.to.module, it will load a Group of name path.to.module which whill load one Command per callable in path.to.module.
When you call cli2 path.to.function it will execute the function.
As a result, these two commands are strictly equivalent:
cli2 cli2.test_node example_function foo=bar cli2 cli2.test_node.example_function foo=bar
Your challenge is to understand why ;)
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