224 lines
6.3 KiB
Plaintext
224 lines
6.3 KiB
Plaintext
[/==============================================================================
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Copyright (C) 2001-2015 Joel de Guzman
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Copyright (C) 2001-2011 Hartmut Kaiser
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Distributed under the Boost Software License, Version 1.0. (See accompanying
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file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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===============================================================================/]
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[section:employee Employee - Parsing into structs]
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It's a common question in the __spirit_list__: How do I parse and place
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the results into a C++ struct? Of course, at this point, you already
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know various ways to do it, using semantic actions. There are many ways
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to skin a cat. Spirit X3, being fully attributed, makes it even easier.
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The next example demonstrates some features of Spirit X3 that make this
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easy. In the process, you'll learn about:
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* More about attributes
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* Auto rules
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* Some more built-in parsers
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* Directives
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First, let's create a struct representing an employee:
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namespace client { namespace ast
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{
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struct employee
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{
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int age;
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std::string forename;
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std::string surname;
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double salary;
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};
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}}
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Then, we need to tell __fusion__ about our employee struct to make it a first-class
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fusion citizen that the grammar can utilize. If you don't know fusion yet,
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it is a __boost__ library for working with heterogeneous collections of data,
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commonly referred to as tuples. Spirit uses fusion extensively as part of its
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infrastructure.
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In fusion's view, a struct is just a form of a tuple. You can adapt any struct
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to be a fully conforming fusion tuple:
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BOOST_FUSION_ADAPT_STRUCT(
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client::ast::employee,
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age, forename, surname, salary
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)
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Now we'll write a parser for our employee. Inputs will be of the form:
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employee{ age, "forename", "surname", salary }
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[#__tutorial_employee_parser__]
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Here goes:
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namespace parser
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{
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namespace x3 = boost::spirit::x3;
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namespace ascii = boost::spirit::x3::ascii;
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using x3::int_;
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using x3::lit;
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using x3::double_;
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using x3::lexeme;
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using ascii::char_;
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x3::rule<class employee, ast::employee> const employee = "employee";
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auto const quoted_string = lexeme['"' >> +(char_ - '"') >> '"'];
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auto const employee_def =
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lit("employee")
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>> '{'
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>> int_ >> ','
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>> quoted_string >> ','
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>> quoted_string >> ','
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>> double_
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>> '}'
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;
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BOOST_SPIRIT_DEFINE(employee);
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}
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The full cpp file for this example can be found here:
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[@../../../example/x3/employee.cpp employee.cpp]
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Let's walk through this one step at a time (not necessarily from top to bottom).
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[heading Rule Declaration]
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We are assuming that you already know about rules. We introduced rules in the
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previous [tutorial_roman Roman Numerals example]. Please go back and review
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the previous tutorial if you have to.
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x3::rule<class employee, ast::employee> employee = "employee";
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[heading Lexeme]
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lexeme['"' >> +(char_ - '"') >> '"'];
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`lexeme` inhibits space skipping from the open brace to the closing brace.
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The expression parses quoted strings.
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+(char_ - '"')
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parses one or more chars, except the double quote. It stops when it sees
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a double quote.
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[heading Difference]
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The expression:
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a - b
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parses `a` but not `b`. Its attribute is just `A`; the attribute of `a`. `b`'s
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attribute is ignored. Hence, the attribute of:
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char_ - '"'
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is just `char`.
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[heading Plus]
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+a
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is similar to Kleene star. Rather than match everything, `+a` matches one or more.
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Like it's related function, the Kleene star, its attribute is a `std::vector<A>`
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where `A` is the attribute of `a`. So, putting all these together, the attribute
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of
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+(char_ - '"')
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is then:
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std::vector<char>
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[heading Sequence Attribute]
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Now what's the attribute of
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'"' >> +(char_ - '"') >> '"'
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?
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Well, typically, the attribute of:
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a >> b >> c
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is:
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fusion::vector<A, B, C>
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where `A` is the attribute of `a`, `B` is the attribute of `b` and `C` is the
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attribute of `c`. What is `fusion::vector`? - a tuple.
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[note If you don't know what I am talking about, see: [@http://tinyurl.com/6xun4j
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Fusion Vector]. It might be a good idea to have a look into __fusion__ at this
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point. You'll definitely see more of it in the coming pages.]
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[heading Attribute Collapsing]
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Some parsers, especially those very little literal parsers you see, like `'"'`,
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do not have attributes.
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Nodes without attributes are disregarded. In a sequence, like above, all nodes
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with no attributes are filtered out of the `fusion::vector`. So, since `'"'` has
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no attribute, and `+(char_ - '"')` has a `std::vector<char>` attribute, the
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whole expression's attribute should have been:
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fusion::vector<std::vector<char> >
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But wait, there's one more collapsing rule: If the attribute is followed by a
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single element `fusion::vector`, The element is stripped naked from its container.
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To make a long story short, the attribute of the expression:
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'"' >> +(char_ - '"') >> '"'
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is:
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std::vector<char>
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[heading Rule Definition]
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Again, we are assuming that you already know about rules and rule
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definitions. We introduced rules in the previous [tutorial_roman Roman
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Numerals example]. Please go back and review the previous tutorial if you
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have to.
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employee =
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lit("employee")
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>> '{'
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>> int_ >> ','
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>> quoted_string >> ','
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>> quoted_string >> ','
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>> double_
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>> '}'
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;
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BOOST_SPIRIT_DEFINE(employee);
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Applying our collapsing rules above, the RHS has an attribute of:
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fusion::vector<int, std::string, std::string, double>
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These nodes do not have an attribute:
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* `lit("employee")`
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* `'{'`
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* `','`
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* `'}'`
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[note In case you are wondering, `lit("employee")` is the same as "employee". We
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had to wrap it inside `lit` because immediately after it is `>> '{'`. You can't
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right-shift a `char[]` and a `char` - you know, C++ syntax rules.]
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Recall that the attribute of `parser::employee` is the `ast::employee` struct.
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Now everything is clear, right? The `struct employee` *IS* compatible with
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`fusion::vector<int, std::string, std::string, double>`. So, the RHS of `start`
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uses start's attribute (a `struct employee`) in-situ when it does its work.
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[endsect]
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