The wraps function in the functools module is a decorator factory that applies update_wrapper() to a wrapper function, simplifying the application of partial() to update_wrapper().
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Here is a basic code template for the `functools.wraps` function:

```python
import functools

def my_decorator(f):
    @functools.wraps(f)
    def decorated(*args, **kwargs):
        print('Before function call')
        result = f(*args, **kwargs)
        print('After function call')
        return result
    return decorated

@my_decorator
def my_function(x, y):
    """This is my function"""
    return x + y

print(my_function(5, 3))
```

In this example, `my_decorator` is a decorator that uses `functools.wraps` to preserve the metadata of the original function `my_function` when it is decorated. The `decorated` function is the wrapper function that is called instead of the original function when `my_function` is invoked. The `*args` and `**kwargs` arguments allow the wrapper function to accept any number of positional and keyword arguments, respectively.