Exercise 49: Making Sentences
What we should be able to get from our little game lexicon scanner is a list that looks like this:
Python 2.7.10 (default, Jul 14 2015, 19:46:27) [GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.39)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from ex48 import lexicon >>> lexicon.scan("go north") [('verb', 'go'), ('direction', 'north')] >>> lexicon.scan("kill the princess") [('verb', 'kill'), ('stop', 'the'), ('noun', 'princess')] >>> lexicon.scan("eat the bear") [('verb', 'eat'), ('stop', 'the'), ('noun', 'bear')] >>> lexicon.scan("open the door and smack the bear in the nose") [('error', 'open'), ('stop', 'the'), ('error', 'door'), ('error', 'and'), ('error', 'smack'), ('stop', 'the'), ('noun', 'bear'), ('stop', 'in'), ('stop', 'the'), ('error', 'nose')]
Now let us turn this into something the game can work with, which would be some kind of Sentence class.
If you remember grade school, a sentence can be a simple structure like:
Subject Verb Object
Obviously it gets more complex than that, and you probably did many days of annoying sentence graphs for English class. What we want is to turn the above lists of tuples into a nice Sentence object that has subject, verb, and object.
Match and Peek
To do this we need four tools:
- A way to loop through the list of scanned words. That's easy.
- A way to "match" different types of tuples that we expect in our Subject Verb Object setup.
- A way to "peek" at a potential tuple so we can make some decisions.
- A way to "skip" things we do not care about, like stop words.
- A Sentence object to put the results in.
We will be putting these functions in a module named ex48.parser in a file named ex48/parser.py in order to test it. We use the peek function to say look at the next element in our tuple list, and then match to take one off and work with it.
The Sentence Grammar
Before you can write the code you need to understand how a basic English sentence grammar works. In our parser we want to produce a Sentence object that has three attributes:
- This is the subject of any sentence, but could default to "player" most of the time since a sentence of, "run north" is implying "player run north". This will be a noun.
- This is the action of the sentence. In "run north" it would be "run". This will be a verb.
- This is another noun that refers to what the verb is done on. In our game we separate out directions which would also be objects. In "run north" the word "north" would be the object. In "hit bear" the word "bear" would be the object.
Our parser then has to use the functions we described and given a scanned sentence, convert it into an List of Sentence objects to match the input.
A Word On Exceptions
You briefly learned about exceptions but not how to raise them. This code demonstrates how to do that with the ParserError at the top. Notice that it uses classes to give it the type of Exception. Also notice the use of the raise keyword to raise the exception.
In your tests, you will want to work with these exceptions, which I'll show you how to do.
The Parser Code
If you want an extra challenge, stop right now and try to write this based on just my description. If you get stuck you can come back and see how I did it, but trying to implement the parser yourself is good practice. I will now walk through the code so you can enter it into your ex48/parser.py. We start the parser with the exception we need for a parsing error:
This is how you make your own ParserError exception class you can throw. Next we need the Sentence object we'll create:
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There's nothing special about this code so far. You're just making simple classes.
In our description of the problem we need a function that can peek at a list of words and return what type of word it is:
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We need this function because we'll have to make decisions about what kind of sentence we're dealing with based on what the next word is, and then we can call another function to consume that word and carry on.
To consume a word we use a the match function, which confirms that the expected word is the right type, takes it off the list, and returns the word.
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Again, fairly simple but make sure you understand this code but also why I'm doing it this way. I need to peek at words in the list to decide what kind of sentence I'm dealing with, and then I need to match those words to create my Sentence.
The last thing I need is a way to skip words that aren't useful to the Sentence. These are the words labeled "stop words" (type 'stop') that are words like "the", "and", and "a".
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Remember that skip doesn't skip one word, it skips as many words of that type as it finds. This makes it so if someone types, "scream at the bear" you get "scream" and "bear."
That's our basic set of parsing functions, and with that we can actually parse just about any text we want. Our parser is very simple though, so the remaining functions are short.
First we can handle parsing a verb:
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We skip any stop words, then peek ahead to make sure the next word is a "verb" type. If it's not then raise the ParserError to say why. If it is a "verb" then match it, which takes it off the list. A similar function handles sentence objects:
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Again, skip the stop words, peek ahead, and decide if the sentence is correct based on what's there. In the parse_object function though we need to handle both "noun" and "direction" words as possible objects. Subjects are then similar again, but since we want to handle the implied "player" noun, we have to use peek:
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With that all out of the way and ready, our final parse_sentence function is very simple:
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Playing With The Parser
To see how this works, you can play with it like this:
Python 2.7.10 (default, Jul 14 2015, 19:46:27) [GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.39)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from ex48.parser import * >>> x = parse_sentence([('verb', 'run'), ('direction', 'north')]) >>> x.subject 'player' >>> x.verb 'run' >>> x.object 'north' >>> x = parse_sentence([('noun', 'bear'), ('verb', 'eat'), ('stop', 'the'), ('noun', 'honey')]) >>> x.subject 'bear' >>> x.verb 'eat' >>> x.object 'honey'
What You Should Test
For Exercise 49, write a complete test that confirms everything in this code is working. Put the test in tests/parser_tests.py similar to the test file from the last exercise. That includes making exceptions happen by giving the parser bad sentences.
Check for an exception by using the function assert_raises from the nose documentation. Learn how to use this so you can write a test that is expected to fail, which is very important in testing. Learn about this function (and others) by reading the nose documentation.
When you are done, you should know how this bit of code works and how to write a test for other people's code even if they do not want you to. Trust me, it's a very handy skill to have.
- Change the parse_ methods and try to put them into a class rather than be just methods. Which design do you like better?
- Make the parser more error-resistant so that you can avoid annoying your users if they type words your lexicon doesn't understand.
- Improve the grammar by handling more things like numbers.
- Think about how you might use this Sentence class in your game to do more fun things with a user's input.
Common Student Questions
- I can't seem to make assert_raises work right.
- Make sure you are writing assert_raises(exception, callable, parameters) and not writing assert_raises(exception, callable(parameters)). Notice how the second form is calling the function then passing the result to assert_raises, which is wrong. You have to pass the function to call and its arguments to assert_raises.