\[ [Index](index.md) | [Exercise 6.4](ex6_4.md) | [Exercise 7.1](ex7_1.md) \]

# Exercise 6.5

*Objectives:*

- Learn how to define a proper callable object

Files Modified :  `validate.py`

Back in [Exercise 4.3](ex4_3.md), you created a series of `Validator` classes
for performing different kinds of type and value checks.  For example:

```python
>>> from validate import Integer
>>> Integer.check(1)
>>> Integer.check('hello')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "validate.py", line 21, in check
    raise TypeError(f'Expected {cls.expected_type}')
TypeError: Expected <class 'int'>
>>>
```

You could use the validators in functions like this:

```python
>>> def add(x, y):
        Integer.check(x)
        Integer.check(y)
        return x + y

>>>
```

In this exercise, we're going to take it just one step further. 

## (a) Creating a Callable Object

In the file `validate.py`, start by creating a class like this:

```python
# validate.py
...

class ValidatedFunction:
    def __init__(self, func):
        self.func = func

    def __call__(self, *args, **kwargs):
        print('Calling', self.func)
        result = self.func(*args, **kwargs)
        return result
```

Test the class by applying it to a function:

```python
>>> def add(x, y):
        return x + y

>>> add = ValidatedFunction(add)
>>> add(2, 3)
Calling <function add at 0x1014df598>
5
>>>
```

## (b) Enforcement

Modify the `ValidatedFunction` class so that it enforces value checks
attached via function annotations.  For example:

```python
>>> def add(x: Integer, y:Integer):
        return x + y
>>> add = ValidatedFunction(add)
>>> add(2,3)
5
>>> add('two','three')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "validate.py", line 67, in __call__
    self.func.__annotations__[name].check(val)
  File "validate.py", line 21, in check
    raise TypeError(f'Expected {cls.expected_type}')
TypeError: expected <class 'int'>
>>>>
```

Hint: To do this, play around with signature binding. Use the `bind()`
method of `Signature` objects to bind function arguments to argument
names.  Then cross reference this information with the
`__annotations__` attribute to get the different validator classes.

Keep in mind, you're making an object that looks like a function, but
it's really not.  There is magic going on behind the scenes.

## (c) Use as a Method (Challenge)

A custom callable often presents problems if used as a custom method.
For example, try this:

```python
class Stock:
    def __init__(self, name, shares, price):
        self.name = name
        self.shares = shares
        self.price = price
    
    @property
    def cost(self):
        return self.shares * self.price

    def sell(self, nshares:Integer):
        self.shares -= nshares
    sell = ValidatedFunction(sell)     # Fails
```

You'll find that the wrapped `sell()` fails miserably:

```python
>>> s = Stock('GOOG', 100, 490.1)
>>> s.sell(10)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "validate.py", line 64, in __call__
    bound = self.signature.bind(*args, **kwargs)
  File "/usr/local/lib/python3.6/inspect.py", line 2933, in bind
    return args[0]._bind(args[1:], kwargs)
  File "/usr/local/lib/python3.6/inspect.py", line 2848, in _bind
    raise TypeError(msg) from None
TypeError: missing a required argument: 'nshares'
>>> 
```

Bonus: Figure out why it fails--but don't spend too much time fooling around with it.

\[ [Solution](soln6_5.md) | [Index](index.md) | [Exercise 6.4](ex6_4.md) | [Exercise 7.1](ex7_1.md) \]

----
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