Changeset 391 for python/trunk/Doc/library/parser.rst
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python/trunk/Doc/library/parser.rst
r2 r391 35 35 AST and has nothing to do with the AST found in Python 2.5. This is also the 36 36 reason for the functions' keyword arguments being called *ast*, not *st*. 37 The "ast" functions will be removed in Python 3.0.37 The "ast" functions have been removed in Python 3. 38 38 39 39 There are a few things to note about this module which are important to making … … 122 122 to ``compile(source, 'file.py', 'eval')``. If the parse succeeds, an ST object 123 123 is created to hold the internal parse tree representation, otherwise an 124 appropriate exception is thrown.124 appropriate exception is raised. 125 125 126 126 … … 130 130 to ``compile(source, 'file.py', 'exec')``. If the parse succeeds, an ST object 131 131 is created to hold the internal parse tree representation, otherwise an 132 appropriate exception is thrown.132 appropriate exception is raised. 133 133 134 134 … … 140 140 Python, an ST object is created from the internal representation and returned 141 141 to the called. If there is a problem creating the internal representation, or 142 if the tree cannot be validated, a :exc:`ParserError` exception is thrown. An142 if the tree cannot be validated, a :exc:`ParserError` exception is raised. An 143 143 ST object created this way should not be assumed to compile correctly; normal 144 exceptions thrownby compilation may still be initiated when the ST object is144 exceptions raised by compilation may still be initiated when the ST object is 145 145 passed to :func:`compilest`. This may indicate problems not related to syntax 146 146 (such as a :exc:`MemoryError` exception), but may also be due to constructs such … … 201 201 202 202 203 .. function:: compilest(ast [, filename='<syntax-tree>'])203 .. function:: compilest(ast, filename='<syntax-tree>') 204 204 205 205 .. index:: builtin: eval … … 265 265 266 266 Exception raised when a failure occurs within the parser module. This is 267 generally produced for validation failures rather than the built 268 :exc:`SyntaxError` thrownduring normal parsing. The exception argument is267 generally produced for validation failures rather than the built-in 268 :exc:`SyntaxError` raised during normal parsing. The exception argument is 269 269 either a string describing the reason of the failure or a tuple containing a 270 270 sequence causing the failure from a parse tree passed to :func:`sequence2st` … … 274 274 275 275 Note that the functions :func:`compilest`, :func:`expr`, and :func:`suite` may 276 throw exceptions which are normally thrownby the parsing and compilation276 raise exceptions which are normally raised by the parsing and compilation 277 277 process. These include the built in exceptions :exc:`MemoryError`, 278 278 :exc:`OverflowError`, :exc:`SyntaxError`, and :exc:`SystemError`. In these … … 323 323 324 324 325 .. _st-examples: 326 327 Examples 328 -------- 329 330 .. index:: builtin: compile 331 332 The parser modules allows operations to be performed on the parse tree of Python 333 source code before the :term:`bytecode` is generated, and provides for inspection of the 334 parse tree for information gathering purposes. Two examples are presented. The 335 simple example demonstrates emulation of the :func:`compile` built-in function 336 and the complex example shows the use of a parse tree for information discovery. 337 338 339 Emulation of :func:`compile` 340 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 325 Example: Emulation of :func:`compile` 326 ------------------------------------- 341 327 342 328 While many useful operations may take place between parsing and bytecode … … 372 358 st = parser.expr(source_string) 373 359 return st, st.compile() 374 375 376 Information Discovery377 ^^^^^^^^^^^^^^^^^^^^^378 379 .. index::380 single: string; documentation381 single: docstrings382 383 Some applications benefit from direct access to the parse tree. The remainder384 of this section demonstrates how the parse tree provides access to module385 documentation defined in docstrings without requiring that the code being386 examined be loaded into a running interpreter via :keyword:`import`. This can387 be very useful for performing analyses of untrusted code.388 389 Generally, the example will demonstrate how the parse tree may be traversed to390 distill interesting information. Two functions and a set of classes are391 developed which provide programmatic access to high level function and class392 definitions provided by a module. The classes extract information from the393 parse tree and provide access to the information at a useful semantic level, one394 function provides a simple low-level pattern matching capability, and the other395 function defines a high-level interface to the classes by handling file396 operations on behalf of the caller. All source files mentioned here which are397 not part of the Python installation are located in the :file:`Demo/parser/`398 directory of the distribution.399 400 The dynamic nature of Python allows the programmer a great deal of flexibility,401 but most modules need only a limited measure of this when defining classes,402 functions, and methods. In this example, the only definitions that will be403 considered are those which are defined in the top level of their context, e.g.,404 a function defined by a :keyword:`def` statement at column zero of a module, but405 not a function defined within a branch of an :keyword:`if` ... :keyword:`else`406 construct, though there are some good reasons for doing so in some situations.407 Nesting of definitions will be handled by the code developed in the example.408 409 To construct the upper-level extraction methods, we need to know what the parse410 tree structure looks like and how much of it we actually need to be concerned411 about. Python uses a moderately deep parse tree so there are a large number of412 intermediate nodes. It is important to read and understand the formal grammar413 used by Python. This is specified in the file :file:`Grammar/Grammar` in the414 distribution. Consider the simplest case of interest when searching for415 docstrings: a module consisting of a docstring and nothing else. (See file416 :file:`docstring.py`.) ::417 418 """Some documentation.419 """420 421 Using the interpreter to take a look at the parse tree, we find a bewildering422 mass of numbers and parentheses, with the documentation buried deep in nested423 tuples. ::424 425 >>> import parser426 >>> import pprint427 >>> st = parser.suite(open('docstring.py').read())428 >>> tup = st.totuple()429 >>> pprint.pprint(tup)430 (257,431 (264,432 (265,433 (266,434 (267,435 (307,436 (287,437 (288,438 (289,439 (290,440 (292,441 (293,442 (294,443 (295,444 (296,445 (297,446 (298,447 (299,448 (300, (3, '"""Some documentation.\n"""'))))))))))))))))),449 (4, ''))),450 (4, ''),451 (0, ''))452 453 The numbers at the first element of each node in the tree are the node types;454 they map directly to terminal and non-terminal symbols in the grammar.455 Unfortunately, they are represented as integers in the internal representation,456 and the Python structures generated do not change that. However, the457 :mod:`symbol` and :mod:`token` modules provide symbolic names for the node types458 and dictionaries which map from the integers to the symbolic names for the node459 types.460 461 In the output presented above, the outermost tuple contains four elements: the462 integer ``257`` and three additional tuples. Node type ``257`` has the symbolic463 name :const:`file_input`. Each of these inner tuples contains an integer as the464 first element; these integers, ``264``, ``4``, and ``0``, represent the node465 types :const:`stmt`, :const:`NEWLINE`, and :const:`ENDMARKER`, respectively.466 Note that these values may change depending on the version of Python you are467 using; consult :file:`symbol.py` and :file:`token.py` for details of the468 mapping. It should be fairly clear that the outermost node is related primarily469 to the input source rather than the contents of the file, and may be disregarded470 for the moment. The :const:`stmt` node is much more interesting. In471 particular, all docstrings are found in subtrees which are formed exactly as472 this node is formed, with the only difference being the string itself. The473 association between the docstring in a similar tree and the defined entity474 (class, function, or module) which it describes is given by the position of the475 docstring subtree within the tree defining the described structure.476 477 By replacing the actual docstring with something to signify a variable component478 of the tree, we allow a simple pattern matching approach to check any given479 subtree for equivalence to the general pattern for docstrings. Since the480 example demonstrates information extraction, we can safely require that the tree481 be in tuple form rather than list form, allowing a simple variable482 representation to be ``['variable_name']``. A simple recursive function can483 implement the pattern matching, returning a Boolean and a dictionary of variable484 name to value mappings. (See file :file:`example.py`.) ::485 486 from types import ListType, TupleType487 488 def match(pattern, data, vars=None):489 if vars is None:490 vars = {}491 if type(pattern) is ListType:492 vars[pattern[0]] = data493 return 1, vars494 if type(pattern) is not TupleType:495 return (pattern == data), vars496 if len(data) != len(pattern):497 return 0, vars498 for pattern, data in map(None, pattern, data):499 same, vars = match(pattern, data, vars)500 if not same:501 break502 return same, vars503 504 Using this simple representation for syntactic variables and the symbolic node505 types, the pattern for the candidate docstring subtrees becomes fairly readable.506 (See file :file:`example.py`.) ::507 508 import symbol509 import token510 511 DOCSTRING_STMT_PATTERN = (512 symbol.stmt,513 (symbol.simple_stmt,514 (symbol.small_stmt,515 (symbol.expr_stmt,516 (symbol.testlist,517 (symbol.test,518 (symbol.and_test,519 (symbol.not_test,520 (symbol.comparison,521 (symbol.expr,522 (symbol.xor_expr,523 (symbol.and_expr,524 (symbol.shift_expr,525 (symbol.arith_expr,526 (symbol.term,527 (symbol.factor,528 (symbol.power,529 (symbol.atom,530 (token.STRING, ['docstring'])531 )))))))))))))))),532 (token.NEWLINE, '')533 ))534 535 Using the :func:`match` function with this pattern, extracting the module536 docstring from the parse tree created previously is easy::537 538 >>> found, vars = match(DOCSTRING_STMT_PATTERN, tup[1])539 >>> found540 1541 >>> vars542 {'docstring': '"""Some documentation.\n"""'}543 544 Once specific data can be extracted from a location where it is expected, the545 question of where information can be expected needs to be answered. When546 dealing with docstrings, the answer is fairly simple: the docstring is the first547 :const:`stmt` node in a code block (:const:`file_input` or :const:`suite` node548 types). A module consists of a single :const:`file_input` node, and class and549 function definitions each contain exactly one :const:`suite` node. Classes and550 functions are readily identified as subtrees of code block nodes which start551 with ``(stmt, (compound_stmt, (classdef, ...`` or ``(stmt, (compound_stmt,552 (funcdef, ...``. Note that these subtrees cannot be matched by :func:`match`553 since it does not support multiple sibling nodes to match without regard to554 number. A more elaborate matching function could be used to overcome this555 limitation, but this is sufficient for the example.556 557 Given the ability to determine whether a statement might be a docstring and558 extract the actual string from the statement, some work needs to be performed to559 walk the parse tree for an entire module and extract information about the names560 defined in each context of the module and associate any docstrings with the561 names. The code to perform this work is not complicated, but bears some562 explanation.563 564 The public interface to the classes is straightforward and should probably be565 somewhat more flexible. Each "major" block of the module is described by an566 object providing several methods for inquiry and a constructor which accepts at567 least the subtree of the complete parse tree which it represents. The568 :class:`ModuleInfo` constructor accepts an optional *name* parameter since it569 cannot otherwise determine the name of the module.570 571 The public classes include :class:`ClassInfo`, :class:`FunctionInfo`, and572 :class:`ModuleInfo`. All objects provide the methods :meth:`get_name`,573 :meth:`get_docstring`, :meth:`get_class_names`, and :meth:`get_class_info`. The574 :class:`ClassInfo` objects support :meth:`get_method_names` and575 :meth:`get_method_info` while the other classes provide576 :meth:`get_function_names` and :meth:`get_function_info`.577 578 Within each of the forms of code block that the public classes represent, most579 of the required information is in the same form and is accessed in the same way,580 with classes having the distinction that functions defined at the top level are581 referred to as "methods." Since the difference in nomenclature reflects a real582 semantic distinction from functions defined outside of a class, the583 implementation needs to maintain the distinction. Hence, most of the584 functionality of the public classes can be implemented in a common base class,585 :class:`SuiteInfoBase`, with the accessors for function and method information586 provided elsewhere. Note that there is only one class which represents function587 and method information; this parallels the use of the :keyword:`def` statement588 to define both types of elements.589 590 Most of the accessor functions are declared in :class:`SuiteInfoBase` and do not591 need to be overridden by subclasses. More importantly, the extraction of most592 information from a parse tree is handled through a method called by the593 :class:`SuiteInfoBase` constructor. The example code for most of the classes is594 clear when read alongside the formal grammar, but the method which recursively595 creates new information objects requires further examination. Here is the596 relevant part of the :class:`SuiteInfoBase` definition from :file:`example.py`::597 598 class SuiteInfoBase:599 _docstring = ''600 _name = ''601 602 def __init__(self, tree = None):603 self._class_info = {}604 self._function_info = {}605 if tree:606 self._extract_info(tree)607 608 def _extract_info(self, tree):609 # extract docstring610 if len(tree) == 2:611 found, vars = match(DOCSTRING_STMT_PATTERN[1], tree[1])612 else:613 found, vars = match(DOCSTRING_STMT_PATTERN, tree[3])614 if found:615 self._docstring = eval(vars['docstring'])616 # discover inner definitions617 for node in tree[1:]:618 found, vars = match(COMPOUND_STMT_PATTERN, node)619 if found:620 cstmt = vars['compound']621 if cstmt[0] == symbol.funcdef:622 name = cstmt[2][1]623 self._function_info[name] = FunctionInfo(cstmt)624 elif cstmt[0] == symbol.classdef:625 name = cstmt[2][1]626 self._class_info[name] = ClassInfo(cstmt)627 628 After initializing some internal state, the constructor calls the629 :meth:`_extract_info` method. This method performs the bulk of the information630 extraction which takes place in the entire example. The extraction has two631 distinct phases: the location of the docstring for the parse tree passed in, and632 the discovery of additional definitions within the code block represented by the633 parse tree.634 635 The initial :keyword:`if` test determines whether the nested suite is of the636 "short form" or the "long form." The short form is used when the code block is637 on the same line as the definition of the code block, as in ::638 639 def square(x): "Square an argument."; return x ** 2640 641 while the long form uses an indented block and allows nested definitions::642 643 def make_power(exp):644 "Make a function that raises an argument to the exponent `exp`."645 def raiser(x, y=exp):646 return x ** y647 return raiser648 649 When the short form is used, the code block may contain a docstring as the650 first, and possibly only, :const:`small_stmt` element. The extraction of such a651 docstring is slightly different and requires only a portion of the complete652 pattern used in the more common case. As implemented, the docstring will only653 be found if there is only one :const:`small_stmt` node in the654 :const:`simple_stmt` node. Since most functions and methods which use the short655 form do not provide a docstring, this may be considered sufficient. The656 extraction of the docstring proceeds using the :func:`match` function as657 described above, and the value of the docstring is stored as an attribute of the658 :class:`SuiteInfoBase` object.659 660 After docstring extraction, a simple definition discovery algorithm operates on661 the :const:`stmt` nodes of the :const:`suite` node. The special case of the662 short form is not tested; since there are no :const:`stmt` nodes in the short663 form, the algorithm will silently skip the single :const:`simple_stmt` node and664 correctly not discover any nested definitions.665 666 Each statement in the code block is categorized as a class definition, function667 or method definition, or something else. For the definition statements, the668 name of the element defined is extracted and a representation object appropriate669 to the definition is created with the defining subtree passed as an argument to670 the constructor. The representation objects are stored in instance variables671 and may be retrieved by name using the appropriate accessor methods.672 673 The public classes provide any accessors required which are more specific than674 those provided by the :class:`SuiteInfoBase` class, but the real extraction675 algorithm remains common to all forms of code blocks. A high-level function can676 be used to extract the complete set of information from a source file. (See677 file :file:`example.py`.) ::678 679 def get_docs(fileName):680 import os681 import parser682 683 source = open(fileName).read()684 basename = os.path.basename(os.path.splitext(fileName)[0])685 st = parser.suite(source)686 return ModuleInfo(st.totuple(), basename)687 688 This provides an easy-to-use interface to the documentation of a module. If689 information is required which is not extracted by the code of this example, the690 code may be extended at clearly defined points to provide additional691 capabilities.692
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