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Edit File : mccabe.py \| Size : 10.40 KB
""" Meager code path measurement tool. Ned Batchelder http://nedbatchelder.com/blog/200803/python_code_complexity_microtool.html MIT License. """ from __future__ import with_statement import optparse import sys import tokenize from collections import defaultdict try: import ast from ast import iter_child_nodes except ImportError: # Python 2.5 from flake8.util import ast, iter_child_nodes __version__ = '0.7.0' class ASTVisitor(object): """Performs a depth-first walk of the AST.""" def __init__(self): self.node = None self._cache = {} def default(self, node, args): for child in iter_child_nodes(node): self.dispatch(child, args) def dispatch(self, node, args): self.node = node klass = node.__class__ meth = self._cache.get(klass) if meth is None: className = klass.__name__ meth = getattr(self.visitor, 'visit' + className, self.default) self._cache[klass] = meth return meth(node, args) def preorder(self, tree, visitor, args): """Do preorder walk of tree using visitor""" self.visitor = visitor visitor.visit = self.dispatch self.dispatch(tree, args) # XXX args make sense? class PathNode(object): def __init__(self, name, look="circle"): self.name = name self.look = look def to_dot(self): print('node [shape=%s,label="%s"] %d;' % ( self.look, self.name, self.dot_id())) def dot_id(self): return id(self) class PathGraph(object): def __init__(self, name, entity, lineno, column=0): self.name = name self.entity = entity self.lineno = lineno self.column = column self.nodes = defaultdict(list) def connect(self, n1, n2): self.nodes[n1].append(n2) # Ensure that the destination node is always counted. self.nodes[n2] = [] def to_dot(self): print('subgraph {') for node in self.nodes: node.to_dot() for node, nexts in self.nodes.items(): for next in nexts: print('%s -- %s;' % (node.dot_id(), next.dot_id())) print('}') def complexity(self): """ Return the McCabe complexity for the graph. V-E+2 """ num_edges = sum([len(n) for n in self.nodes.values()]) num_nodes = len(self.nodes) return num_edges - num_nodes + 2 class PathGraphingAstVisitor(ASTVisitor): """ A visitor for a parsed Abstract Syntax Tree which finds executable statements. """ def __init__(self): super(PathGraphingAstVisitor, self).__init__() self.classname = "" self.graphs = {} self.reset() def reset(self): self.graph = None self.tail = None def dispatch_list(self, node_list): for node in node_list: self.dispatch(node) def visitFunctionDef(self, node): if self.classname: entity = '%s%s' % (self.classname, node.name) else: entity = node.name name = '%d:%d: %r' % (node.lineno, node.col_offset, entity) if self.graph is not None: # closure pathnode = self.appendPathNode(name) self.tail = pathnode self.dispatch_list(node.body) bottom = PathNode("", look='point') self.graph.connect(self.tail, bottom) self.graph.connect(pathnode, bottom) self.tail = bottom else: self.graph = PathGraph(name, entity, node.lineno, node.col_offset) pathnode = PathNode(name) self.tail = pathnode self.dispatch_list(node.body) self.graphs["%s%s" % (self.classname, node.name)] = self.graph self.reset() visitAsyncFunctionDef = visitFunctionDef def visitClassDef(self, node): old_classname = self.classname self.classname += node.name + "." self.dispatch_list(node.body) self.classname = old_classname def appendPathNode(self, name): if not self.tail: return pathnode = PathNode(name) self.graph.connect(self.tail, pathnode) self.tail = pathnode return pathnode def visitSimpleStatement(self, node): if node.lineno is None: lineno = 0 else: lineno = node.lineno name = "Stmt %d" % lineno self.appendPathNode(name) def default(self, node, args): if isinstance(node, ast.stmt): self.visitSimpleStatement(node) else: super(PathGraphingAstVisitor, self).default(node, args) def visitLoop(self, node): name = "Loop %d" % node.lineno self._subgraph(node, name) visitAsyncFor = visitFor = visitWhile = visitLoop def visitIf(self, node): name = "If %d" % node.lineno self._subgraph(node, name) def _subgraph(self, node, name, extra_blocks=()): """create the subgraphs representing any `if` and `for` statements""" if self.graph is None: # global loop self.graph = PathGraph(name, name, node.lineno, node.col_offset) pathnode = PathNode(name) self._subgraph_parse(node, pathnode, extra_blocks) self.graphs["%s%s" % (self.classname, name)] = self.graph self.reset() else: pathnode = self.appendPathNode(name) self._subgraph_parse(node, pathnode, extra_blocks) def _subgraph_parse(self, node, pathnode, extra_blocks): """parse the body and any `else` block of `if` and `for` statements""" loose_ends = [] self.tail = pathnode self.dispatch_list(node.body) loose_ends.append(self.tail) for extra in extra_blocks: self.tail = pathnode self.dispatch_list(extra.body) loose_ends.append(self.tail) if node.orelse: self.tail = pathnode self.dispatch_list(node.orelse) loose_ends.append(self.tail) else: loose_ends.append(pathnode) if pathnode: bottom = PathNode("", look='point') for le in loose_ends: self.graph.connect(le, bottom) self.tail = bottom def visitTryExcept(self, node): name = "TryExcept %d" % node.lineno self._subgraph(node, name, extra_blocks=node.handlers) visitTry = visitTryExcept def visitWith(self, node): name = "With %d" % node.lineno self.appendPathNode(name) self.dispatch_list(node.body) visitAsyncWith = visitWith class McCabeChecker(object): """McCabe cyclomatic complexity checker.""" name = 'mccabe' version = __version__ _code = 'C901' _error_tmpl = "C901 %r is too complex (%d)" max_complexity = -1 def __init__(self, tree, filename): self.tree = tree @classmethod def add_options(cls, parser): flag = '--max-complexity' kwargs = { 'default': -1, 'action': 'store', 'type': int, 'help': 'McCabe complexity threshold', 'parse_from_config': 'True', } config_opts = getattr(parser, 'config_options', None) if isinstance(config_opts, list): # Flake8 2.x kwargs.pop('parse_from_config') parser.add_option(flag, kwargs) parser.config_options.append('max-complexity') else: parser.add_option(flag, *kwargs) @classmethod def parse_options(cls, options): cls.max_complexity = int(options.max_complexity) def run(self): if self.max_complexity < 0: return visitor = PathGraphingAstVisitor() visitor.preorder(self.tree, visitor) for graph in visitor.graphs.values(): if graph.complexity() > self.max_complexity: text = self._error_tmpl % (graph.entity, graph.complexity()) yield graph.lineno, graph.column, text, type(self) def get_code_complexity(code, threshold=7, filename='stdin'): try: tree = compile(code, filename, "exec", ast.PyCF_ONLY_AST) except SyntaxError: e = sys.exc_info()[1] sys.stderr.write("Unable to parse %s: %s\n" % (filename, e)) return 0 complx = [] McCabeChecker.max_complexity = threshold for lineno, offset, text, check in McCabeChecker(tree, filename).run(): complx.append('%s:%d:1: %s' % (filename, lineno, text)) if len(complx) == 0: return 0 print('\n'.join(complx)) return len(complx) def get_module_complexity(module_path, threshold=7): """Returns the complexity of a module""" code = _read(module_path) return get_code_complexity(code, threshold, filename=module_path) def _read(filename): if (2, 5) < sys.version_info < (3, 0): with open(filename, 'rU') as f: return f.read() elif (3, 0) <= sys.version_info < (4, 0): """Read the source code.""" try: with open(filename, 'rb') as f: (encoding, _) = tokenize.detect_encoding(f.readline) except (LookupError, SyntaxError, UnicodeError): # Fall back if file encoding is improperly declared with open(filename, encoding='latin-1') as f: return f.read() with open(filename, 'r', encoding=encoding) as f: return f.read() def main(argv=None): if argv is None: argv = sys.argv[1:] opar = optparse.OptionParser() opar.add_option("-d", "--dot", dest="dot", help="output a graphviz dot file", action="store_true") opar.add_option("-m", "--min", dest="threshold", help="minimum complexity for output", type="int", default=1) options, args = opar.parse_args(argv) code = _read(args[0]) tree = compile(code, args[0], "exec", ast.PyCF_ONLY_AST) visitor = PathGraphingAstVisitor() visitor.preorder(tree, visitor) if options.dot: print('graph {') for graph in visitor.graphs.values(): if (not options.threshold or graph.complexity() >= options.threshold): graph.to_dot() print('}') else: for graph in visitor.graphs.values(): if graph.complexity() >= options.threshold: print(graph.name, graph.complexity()) if __name__ == '__main__': main(sys.argv[1:]) Back

Edit File : mccabe.py | Size : 10.40 KB

""" Meager code path measurement tool.
    Ned Batchelder
    http://nedbatchelder.com/blog/200803/python_code_complexity_microtool.html
    MIT License.
"""
from __future__ import with_statement

import optparse
import sys
import tokenize

from collections import defaultdict
try:
    import ast
    from ast import iter_child_nodes
except ImportError:   # Python 2.5
    from flake8.util import ast, iter_child_nodes

__version__ = '0.7.0'

class ASTVisitor(object):
    """Performs a depth-first walk of the AST."""

def __init__(self):
        self.node = None
        self._cache = {}

def default(self, node, *args):
        for child in iter_child_nodes(node):
            self.dispatch(child, *args)

def dispatch(self, node, *args):
        self.node = node
        klass = node.__class__
        meth = self._cache.get(klass)
        if meth is None:
            className = klass.__name__
            meth = getattr(self.visitor, 'visit' + className, self.default)
            self._cache[klass] = meth
        return meth(node, *args)

def preorder(self, tree, visitor, *args):
        """Do preorder walk of tree using visitor"""
        self.visitor = visitor
        visitor.visit = self.dispatch
        self.dispatch(tree, *args)  # XXX *args make sense?

class PathNode(object):
    def __init__(self, name, look="circle"):
        self.name = name
        self.look = look

def to_dot(self):
        print('node [shape=%s,label="%s"] %d;' % (
            self.look, self.name, self.dot_id()))

def dot_id(self):
        return id(self)

class PathGraph(object):
    def __init__(self, name, entity, lineno, column=0):
        self.name = name
        self.entity = entity
        self.lineno = lineno
        self.column = column
        self.nodes = defaultdict(list)

def connect(self, n1, n2):
        self.nodes[n1].append(n2)
        # Ensure that the destination node is always counted.
        self.nodes[n2] = []

def to_dot(self):
        print('subgraph {')
        for node in self.nodes:
            node.to_dot()
        for node, nexts in self.nodes.items():
            for next in nexts:
                print('%s -- %s;' % (node.dot_id(), next.dot_id()))
        print('}')

def complexity(self):
        """ Return the McCabe complexity for the graph.
            V-E+2
        """
        num_edges = sum([len(n) for n in self.nodes.values()])
        num_nodes = len(self.nodes)
        return num_edges - num_nodes + 2

class PathGraphingAstVisitor(ASTVisitor):
    """ A visitor for a parsed Abstract Syntax Tree which finds executable
        statements.
    """

def __init__(self):
        super(PathGraphingAstVisitor, self).__init__()
        self.classname = ""
        self.graphs = {}
        self.reset()

def reset(self):
        self.graph = None
        self.tail = None

def dispatch_list(self, node_list):
        for node in node_list:
            self.dispatch(node)

def visitFunctionDef(self, node):

if self.classname:
            entity = '%s%s' % (self.classname, node.name)
        else:
            entity = node.name

name = '%d:%d: %r' % (node.lineno, node.col_offset, entity)

if self.graph is not None:
            # closure
            pathnode = self.appendPathNode(name)
            self.tail = pathnode
            self.dispatch_list(node.body)
            bottom = PathNode("", look='point')
            self.graph.connect(self.tail, bottom)
            self.graph.connect(pathnode, bottom)
            self.tail = bottom
        else:
            self.graph = PathGraph(name, entity, node.lineno, node.col_offset)
            pathnode = PathNode(name)
            self.tail = pathnode
            self.dispatch_list(node.body)
            self.graphs["%s%s" % (self.classname, node.name)] = self.graph
            self.reset()

visitAsyncFunctionDef = visitFunctionDef

def visitClassDef(self, node):
        old_classname = self.classname
        self.classname += node.name + "."
        self.dispatch_list(node.body)
        self.classname = old_classname

def appendPathNode(self, name):
        if not self.tail:
            return
        pathnode = PathNode(name)
        self.graph.connect(self.tail, pathnode)
        self.tail = pathnode
        return pathnode

def visitSimpleStatement(self, node):
        if node.lineno is None:
            lineno = 0
        else:
            lineno = node.lineno
        name = "Stmt %d" % lineno
        self.appendPathNode(name)

def default(self, node, *args):
        if isinstance(node, ast.stmt):
            self.visitSimpleStatement(node)
        else:
            super(PathGraphingAstVisitor, self).default(node, *args)

def visitLoop(self, node):
        name = "Loop %d" % node.lineno
        self._subgraph(node, name)

visitAsyncFor = visitFor = visitWhile = visitLoop

def visitIf(self, node):
        name = "If %d" % node.lineno
        self._subgraph(node, name)

def _subgraph(self, node, name, extra_blocks=()):
        """create the subgraphs representing any `if` and `for` statements"""
        if self.graph is None:
            # global loop
            self.graph = PathGraph(name, name, node.lineno, node.col_offset)
            pathnode = PathNode(name)
            self._subgraph_parse(node, pathnode, extra_blocks)
            self.graphs["%s%s" % (self.classname, name)] = self.graph
            self.reset()
        else:
            pathnode = self.appendPathNode(name)
            self._subgraph_parse(node, pathnode, extra_blocks)

def _subgraph_parse(self, node, pathnode, extra_blocks):
        """parse the body and any `else` block of `if` and `for` statements"""
        loose_ends = []
        self.tail = pathnode
        self.dispatch_list(node.body)
        loose_ends.append(self.tail)
        for extra in extra_blocks:
            self.tail = pathnode
            self.dispatch_list(extra.body)
            loose_ends.append(self.tail)
        if node.orelse:
            self.tail = pathnode
            self.dispatch_list(node.orelse)
            loose_ends.append(self.tail)
        else:
            loose_ends.append(pathnode)
        if pathnode:
            bottom = PathNode("", look='point')
            for le in loose_ends:
                self.graph.connect(le, bottom)
            self.tail = bottom

def visitTryExcept(self, node):
        name = "TryExcept %d" % node.lineno
        self._subgraph(node, name, extra_blocks=node.handlers)

visitTry = visitTryExcept

def visitWith(self, node):
        name = "With %d" % node.lineno
        self.appendPathNode(name)
        self.dispatch_list(node.body)

visitAsyncWith = visitWith

class McCabeChecker(object):
    """McCabe cyclomatic complexity checker."""
    name = 'mccabe'
    version = __version__
    _code = 'C901'
    _error_tmpl = "C901 %r is too complex (%d)"
    max_complexity = -1

def __init__(self, tree, filename):
        self.tree = tree

@classmethod
    def add_options(cls, parser):
        flag = '--max-complexity'
        kwargs = {
            'default': -1,
            'action': 'store',
            'type': int,
            'help': 'McCabe complexity threshold',
            'parse_from_config': 'True',
        }
        config_opts = getattr(parser, 'config_options', None)
        if isinstance(config_opts, list):
            # Flake8 2.x
            kwargs.pop('parse_from_config')
            parser.add_option(flag, **kwargs)
            parser.config_options.append('max-complexity')
        else:
            parser.add_option(flag, **kwargs)

@classmethod
    def parse_options(cls, options):
        cls.max_complexity = int(options.max_complexity)

def run(self):
        if self.max_complexity < 0:
            return
        visitor = PathGraphingAstVisitor()
        visitor.preorder(self.tree, visitor)
        for graph in visitor.graphs.values():
            if graph.complexity() > self.max_complexity:
                text = self._error_tmpl % (graph.entity, graph.complexity())
                yield graph.lineno, graph.column, text, type(self)

def get_code_complexity(code, threshold=7, filename='stdin'):
    try:
        tree = compile(code, filename, "exec", ast.PyCF_ONLY_AST)
    except SyntaxError:
        e = sys.exc_info()[1]
        sys.stderr.write("Unable to parse %s: %s\n" % (filename, e))
        return 0

complx = []
    McCabeChecker.max_complexity = threshold
    for lineno, offset, text, check in McCabeChecker(tree, filename).run():
        complx.append('%s:%d:1: %s' % (filename, lineno, text))

if len(complx) == 0:
        return 0
    print('\n'.join(complx))
    return len(complx)

def get_module_complexity(module_path, threshold=7):
    """Returns the complexity of a module"""
    code = _read(module_path)
    return get_code_complexity(code, threshold, filename=module_path)

def _read(filename):
    if (2, 5) < sys.version_info < (3, 0):
        with open(filename, 'rU') as f:
            return f.read()
    elif (3, 0) <= sys.version_info < (4, 0):
        """Read the source code."""
        try:
            with open(filename, 'rb') as f:
                (encoding, _) = tokenize.detect_encoding(f.readline)
        except (LookupError, SyntaxError, UnicodeError):
            # Fall back if file encoding is improperly declared
            with open(filename, encoding='latin-1') as f:
                return f.read()
        with open(filename, 'r', encoding=encoding) as f:
            return f.read()

def main(argv=None):
    if argv is None:
        argv = sys.argv[1:]
    opar = optparse.OptionParser()
    opar.add_option("-d", "--dot", dest="dot",
                    help="output a graphviz dot file", action="store_true")
    opar.add_option("-m", "--min", dest="threshold",
                    help="minimum complexity for output", type="int",
                    default=1)

options, args = opar.parse_args(argv)

code = _read(args[0])
    tree = compile(code, args[0], "exec", ast.PyCF_ONLY_AST)
    visitor = PathGraphingAstVisitor()
    visitor.preorder(tree, visitor)

if options.dot:
        print('graph {')
        for graph in visitor.graphs.values():
            if (not options.threshold or
                    graph.complexity() >= options.threshold):
                graph.to_dot()
        print('}')
    else:
        for graph in visitor.graphs.values():
            if graph.complexity() >= options.threshold:
                print(graph.name, graph.complexity())

if __name__ == '__main__':
    main(sys.argv[1:])

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