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用Python编写干净 可测试 高质量的代码

  test_functional_highlight.py

"""Functional Test That Performs Some Basic Sanity Checks"""

from highlight import HighlightDocumentOperations


def test_snippit_algorithm():
    document1
= """
        This place has awesome deep dish pizza.
        I have been getting delivery through Waiters
on wheels for years.
        It
is classic, deep dish  Chicago style pizza.
        
Now I found out they also have half-baked to pick-up and cook at home.
        This
is a great benefit. I am having it tonight. Yum.
        
"""
    document2 = """Review for their take-out only.
Tried their large Classic (sausage, mushroom, peppers and onions) deep dish;\
and their large Pesto Chicken thin crust pizzas.
Pizza
= I've had better.  The crust/dough was just way too effin' dry for me.\
Yes, I know what 'cornmeal' is, thanks.  But it's way too dry.\
I'm not talking about the bottom of the pizza...I'm talking about the dough \
that's in between the sauce and bottom of the pie...it was like cardboard, sorry!
Wings = spicy and good.   Bleu cheese dressing only...hmmm, but no alternative\
of ranch dressing, at all.  Service
= friendly enough at the counters.  
Decor
= freakin' dark.  I'm not sure how people can see their food.  
Parking = a real pain.  Good luck."""
    
    h1
= HighlightDocumentOperations(document1, "deep+dish+pizza")
    actual
= h1.highlight_doc()
    print
"Raw Document1: %s" % document1
    print
" Formatted Document1: %s" % actual
    assert  
len(actual) < 500
    assert
"<strong>" in actual

    h2
= HighlightDocumentOperations(document2, "deep+dish+pizza")
    actual
= h2.highlight_doc()
    print
"Raw Document2: %s" % document2
    print
" Formatted Document2: %s" % actual
    assert  
len(actual) < 500
    assert
"<strong>" in actual

    
if __name__ == "__main__":
    test_snippit_algorithm()

 

  如果想运行以上代码示例,需要下载 Natural Language Toolkit 源代码并按照说明下载 nltk 数据。因为本文并不讨论代码示例本身,而是讨论创建和测试它的方式,所以不详细解释代码的实际作用。最后,我们对源代码运行静态代码分析工具 pylint:

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