Converts a python class into a CLI program
Project description
Class CLI
A Python module for converting a Python class into a CLI program.
Using the module encourages for well documented code while not demanding it. It allows for separation in implementation between method execution and it's argument validations.
Capabilities
* Full command and argument auto-completion and suggestions
* Basic type validation for entered arguments while typing
* Full input line validation
* Useful help messages for all methods and arguments
* Logging support
* Command history
* Execution of commands from a text file, line by line
API
The module exposes an API in the form of decorators. These are the available decorators:
Program
Program(name=None, version=None, description=None, log=None, style=None, debug=False)
a class decorator that defines the CLI program.
Instantiation of the wrapped user class can be used as normal python code, accessing all it's attributes.
It also exposes the CLI interface with an added attribute named 'CLI'
@name The name of the CLI program. (Default is the class name)
@version The version of the CLI program. (Default is a CLI without versioning)
@description The description of the CLI program. (Default is the class documentation)
@log A path to a log file. (Default is no log file)
@style A dictionary that overrides the styling of the CLI for the given keys (Keys: CLI.STYLE)
@debug A boolean that defines if CLI method calling information should be logged (Default is False)
Operation
Operation
a method decorator that defines the execution code of a method in the CLI
Setting
Setting(initial_value, updates_value:bool=True)
a method decorator that creates a setting value for the CLI with name equals to the method name.
It defines the execution code for setting the value into the created setting.
@initial_value An initial value that the setting will hold after class initialization
@updates_value Whether or not calling this method automatically updates the inner setting value
Validation
Validation
A method decorator that defines a validation to be performed on an execution (Operation / Setting)
Holds the same signature as the execution it is validating and raises an exception for invalid arguments.
* An Operation or a Setting can have multiple Validations
After Wrapping your class and methods with decorators, an instance of the class will expose the CLI keyword in order to access setting values and running the CLI.
API Example
In this example, we are wrapping a class, that holds a Setting named value, and exposes a method called show that prints it to the screen.
from class_cli.cli import CLI
cli = CLI()
@cli.Program()
class MyClass:
@cli.Operation
def show(self):
print("Current value is '{}'".format(self.CLI.value))
@cli.Setting(initial_value=None)
def value(self, str):
return str
if __name__ == "__main__":
MyClass().CLI.main()
In the main method we called MyClass().CLI.main() which checks for sys.argv for input and executes the commands using the instance.
$> python3 MyClass.py show
Current value is 'None'
If we execute the script without arguments, it will open the CLI for user input:
$> python3 MyClass.py
MyClass
To exit, enter one of the following ['q', 'quit', 'exit']
to read commands from a file, enter one of the following ['.r', '.read']\Tip: At any time, add '-h' flag to the command for help.
MyClass> show
Current value is 'None'MyClass> |
You can also open the CLI directly by calling run instead of main
if __name__ == "__main__":
MyClass().CLI.run()
Logging
To log messages, the cli holds a Logger instance. to access it, use the CLI.log keyword
def method(self):
self.CLI.log.info("This is an information Line")
self.CLI.log.warning("This is a Warning")
self.CLI.log.error("This is an Error")
self.CLI.log.debug("This line is shown only when Program decorator is called with 'debug=True'"")
MyClass> method
This is an information Line
[WARNING] This is a Warning
2019-10-10 17:51:21,807
[ERROR] This is an Error
2019-10-10 17:51:21,808
[DEBUG][test:12] This line is shown only when Program decorator is called with 'debug=True'MyClass> |
You can see documentation for the Logger object here
Help Messages
The CLI makes use of user code documentation in order to provide help messages to the user providing the --help/-h flag in the input. Using the --help flag will display a message relevant to the user input. Using it alone will display a usage message for the entire program while adding it after an Operation or Setting name will display usage information for that Operation or Setting.
@cli.Operation
def method(self):
"""
A description of the method
"""
pass
CLI> method -h
usage: CLI method [-h]=========================
A description of the method=========================
optional arguments:
-h, --help show this help message and exit\CLI>|
Any Validations for the method will be added to the description
@cli.Validation
def method(self, arg):
"""
cannot perform operation when disabled
"""
if self.disabled:
raise Exception("Cannot perform operations when disabled")
CLI> method -h
usage: CLI method [-h]=========================
A description of the method
* cannot perform operation when disabled
=========================optional arguments:
-h, --help show this help message and exit\CLI>|
If there are arguments for the method, you can add descriptions for them inside the method documentation with a @ prefix as demonstrated below.
@cli.Operation
def method(self, arg):
"""
A description of the method
Accepts:
@arg arg description
@arg another line of the description
"""
pass
CLI> method -h
usage: CLI method [-h] arg=========================
A description of the methodAccepts:
@arg arg description
@arg another line of the description* cannot perform operation when disabled
=========================
positional arguments:
arg =========================
arg description
another line of the description
Type: <class 'str'>
=========================
optional arguments:
-h, --help show this help message and exitCLI>|
Type Annotations
Pythons type annotations are used by the CLI in order to use type validation and conversion.
Type Conversion
Since the user input is a String, by default the arguments passed to a method are String
Default Behavior:
@cli.Operation
def method(self, arg):
print(type(arg), ';', arg)
CLI> method value
<class 'str'> ; valueCLI>|
Basic Annotation: Using annotations, we can provide a type to tell the CLI what is expected, and use it to convert the String into its proper type. The CLI accepts annotations which are a Python Callable that receive a String and returns it converted to the desired type.
@cli.Operation
def method(self, arg:int):
print(type(arg), ';', arg)
CLI> method 17
<class 'int'> ; 17CLI>|
Iterable Annotation: You can also use an Iterable as an annotation to specify a set of options.
@cli.Operation
def method(self, value:[1, "value", (0,0)]):
print(type(value), ';', value)
CLI> method 1
<class 'int'> ; 1CLI> method value
<class 'str'> ; valueCLI> method '(0, 0)'
<class 'tuple'> ; (0, 0)CLI>|
- Since the string representation of the items in the List are used to select the value from it, The String representations of the Items need to be unique.
During typing of input, The CLI will tip the user for the expected inputs, as well as block the user from entering invalid types into a command.
Type Validation:
@cli.Operation
def method(self, arg1, arg2:int=0, arg3:[1, -1]=None, *extras):
pass
CLI> method value number|
invalid literal for int() with base 10: 'number'
arg1 arg2[=0] arg3[=None] {*extras} : {<class 'int'>}
Auto Completion
The CLI can auto-complete command names, file paths and argument values.
@cli.Operation
def method(self, arg1, arg2:int=0, arg3:[1, -1]=None, *extras):
pass
@cli.Setting(initial_value=None)
def name(self, arg1):
return arg1
Pressing 'TAB' will open up all available suggestions
CLI> |
| method |
| .setting |
| .read |
CLI> .setting |
| name |
When browsing suggestions, you can see the expected arguments at the bottom:
CLI> method|
| method |
| .setting |
| .read |
arg1 arg2[=0] arg3[=None] {*extras}
When the expected argument is an Iterable, the CLI will suggest all the Iterable items
CLI> method value 0 |
| 1 |
| -1 |
arg1 arg2[=0] arg3[=None] {*extras} : {1, -1}
If you are providing your own Callable for annotation, you can make use of the auto complete mechanism by implementing _complete_(self, keyword)
Implementing a Custom Annotation
You can use any callable(str) as a type annotation for the CLI.
Representation
The CLI displays the callable to the user as its String representation. To set the description, override the _str_(self) method
def __str__(self):
return "A Custom Type"
Callable
The annotation must be a callable that accepts a string and returns a list of strings. The callable returns all the suggestions relevant to the given keyword
def __call__(self, key):
if key in self.options_dict:
return self.options_dict[key]
Validation
If the given string is not a valid option, you can throw an exception inside the _call_ method
def __call__(self, str):
if key in self.options_dict:
return self.options_dict[key]
throw Exception("'{}'' is not a valid option".format(str))
This will block the user from entering a non existing key
Autocomplete Suggestion
To make use of the auto complete mechanism, implement the _complete_(self, keyword) method
def __complete__(self, str):
return [s for s in self.suggestions if s.startswith(str)]
Basic Example
This is a simple code that controls an integer via the Setting decorator It can only set/return it's value or add another integer to it::
from class_cli.cli import CLI
cli = CLI()
@cli.Program()
class IntegerController:
"CLI program description"
@cli.Setting(initial_value=None)
# Telling the CLI 'value' is of type int will perform automatic type validation and conversion
def value(self, value:int):
"""
Setting Description
@value Argument description
"""
return value
@cli.Validation
def add(self, value:int):
"""
Validation Description 1
"""
# Accessing a 'Setting' value is done via the CLI attribute
if self.CLI.value is None:
raise Exception("Must initialize setting 'value' before performing operations")
@cli.Validation
def add(self, value:int):
"""
Validation Description 2
"""
# Accessing a 'Setting' value is done via the CLI attribute
if value == 0:
raise Exception("Adding 0 will do nothing to the Integer")
@cli.Operation
def add(self, value:int):
"""
Method Description
@value Argument description
"""
self.value(self.CLI.value + value)
return self.CLI.value
if __name__ == "__main__":
IntegerController().CLI.main()
Execution
When calling the script with arguments, it will execute them and exit. If not arguments are passed, It will start a cli program
This provides the following cli behavior::
IntegerController> .setting value
=NoneIntegerController> add 2
2019-08-24 17:12:18,759
[ERROR] Must initialize setting 'value' before performing operations
IntegerController> .setting value 5
=5IntegerController> add 2
7IntegerController> add 0
2019-08-24 17:12:19,800
[ERROR] Adding 0 will do nothing to the Integer
IntegerController> .setting value
=7IntegerController>|
Initially the value was None, so trying to add 2 to it returned an error. After changing it to a valid value (5), adding 2 was possible. Trying to add 0 also throws exceptions so the ending value was 7.
Because value was defined as int, the user could not have entered a non int input
This could be solved by changing the main a bit and calling the method to set the value outside::
if __name__ == "__main__":
ic = IntegerController()
ic.value(0)
ic.CLI.main()
That has the following interface behavior::
IntegerController> .setting value
=0IntegerController> add 2
2IntegerController> .setting value
=2IntegerController>|
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