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Diffstat (limited to 'venv/lib/python3.9/site-packages/pympler/refgraph.py')
-rw-r--r-- | venv/lib/python3.9/site-packages/pympler/refgraph.py | 350 |
1 files changed, 350 insertions, 0 deletions
diff --git a/venv/lib/python3.9/site-packages/pympler/refgraph.py b/venv/lib/python3.9/site-packages/pympler/refgraph.py new file mode 100644 index 00000000..7f1f28bd --- /dev/null +++ b/venv/lib/python3.9/site-packages/pympler/refgraph.py @@ -0,0 +1,350 @@ +""" +This module exposes utilities to illustrate objects and their references as +(directed) graphs. The current implementation requires 'graphviz' to be +installed. +""" + +from pympler.asizeof import Asizer, named_refs +from pympler.util.stringutils import safe_repr, trunc +from gc import get_referents +from subprocess import Popen, PIPE +from copy import copy +from sys import platform + +__all__ = ['ReferenceGraph'] + + +# Popen might lead to deadlocks when file descriptors are leaked to +# sub-processes on Linux. On Windows, however, close_fds=True leads to +# ValueError if stdin/stdout/stderr is piped: +# http://code.google.com/p/pympler/issues/detail?id=28#c1 +popen_flags = {} +if platform not in ['win32']: # pragma: no branch + popen_flags['close_fds'] = True + + +class _MetaObject(object): + """ + The _MetaObject stores meta-information, like a string representation, + corresponding to each object passed to a ReferenceGraph. + """ + __slots__ = ('size', 'id', 'type', 'str', 'group', 'cycle') + + def __init__(self): + self.cycle = False + + +class _Edge(object): + """ + Describes a reference from one object `src` to another object `dst`. + """ + __slots__ = ('src', 'dst', 'label', 'group') + + def __init__(self, src, dst, label): + self.src = src + self.dst = dst + self.label = label + self.group = None + + def __repr__(self): + return "<%08x => %08x, '%s', %s>" % (self.src, self.dst, self.label, + self.group) + + def __hash__(self): + return (self.src, self.dst, self.label).__hash__() + + def __eq__(self, other): + return self.__hash__() == other.__hash__() + + +class ReferenceGraph(object): + """ + The ReferenceGraph illustrates the references between a collection of + objects by rendering a directed graph. That requires that 'graphviz' is + installed. + + >>> from pympler.refgraph import ReferenceGraph + >>> a = 42 + >>> b = 'spam' + >>> c = {a: b} + >>> gb = ReferenceGraph([a,b,c]) + >>> gb.render('spam.eps') + True + """ + def __init__(self, objects, reduce=False): + """ + Initialize the ReferenceGraph with a collection of `objects`. + """ + self.objects = list(objects) + self.count = len(self.objects) + self.num_in_cycles = 'N/A' + self.edges = None + + if reduce: + self.num_in_cycles = self._reduce_to_cycles() + self._reduced = self # TODO: weakref? + else: + self._reduced = None + + self._get_edges() + self._annotate_objects() + + def _eliminate_leafs(self, graph): + """ + Eliminate leaf objects - that are objects not referencing any other + objects in the list `graph`. Returns the list of objects without the + objects identified as leafs. + """ + result = [] + idset = set([id(x) for x in graph]) + for n in graph: + refset = set([id(x) for x in get_referents(n)]) + if refset.intersection(idset): + result.append(n) + return result + + def _reduce_to_cycles(self): + """ + Iteratively eliminate leafs to reduce the set of objects to only those + that build cycles. Return the number of objects involved in reference + cycles. If there are no cycles, `self.objects` will be an empty list + and this method returns 0. + """ + cycles = self.objects[:] + cnt = 0 + while cnt != len(cycles): + cnt = len(cycles) + cycles = self._eliminate_leafs(cycles) + self.objects = cycles + return len(self.objects) + + def reduce_to_cycles(self): + """ + Iteratively eliminate leafs to reduce the set of objects to only those + that build cycles. Return the reduced graph. If there are no cycles, + None is returned. + """ + if not self._reduced: + reduced = copy(self) + reduced.objects = self.objects[:] + reduced.metadata = [] + reduced.edges = [] + self.num_in_cycles = reduced._reduce_to_cycles() + reduced.num_in_cycles = self.num_in_cycles + if self.num_in_cycles: + reduced._get_edges() + reduced._annotate_objects() + for meta in reduced.metadata: + meta.cycle = True + else: + reduced = None + self._reduced = reduced + return self._reduced + + def _get_edges(self): + """ + Compute the edges for the reference graph. + The function returns a set of tuples (id(a), id(b), ref) if a + references b with the referent 'ref'. + """ + idset = set([id(x) for x in self.objects]) + self.edges = set([]) + for n in self.objects: + refset = set([id(x) for x in get_referents(n)]) + for ref in refset.intersection(idset): + label = '' + members = None + if isinstance(n, dict): + members = n.items() + if not members: + members = named_refs(n) + for (k, v) in members: + if id(v) == ref: + label = k + break + self.edges.add(_Edge(id(n), ref, label)) + + def _annotate_groups(self): + """ + Annotate the objects belonging to separate (non-connected) graphs with + individual indices. + """ + g = {} + for x in self.metadata: + g[x.id] = x + + idx = 0 + for x in self.metadata: + if not hasattr(x, 'group'): + x.group = idx + idx += 1 + neighbors = set() + for e in self.edges: + if e.src == x.id: + neighbors.add(e.dst) + if e.dst == x.id: + neighbors.add(e.src) + for nb in neighbors: + g[nb].group = min(x.group, getattr(g[nb], 'group', idx)) + + # Assign the edges to the respective groups. Both "ends" of the edge + # should share the same group so just use the first object's group. + for e in self.edges: + e.group = g[e.src].group + + self._max_group = idx + + def _filter_group(self, group): + """ + Eliminate all objects but those which belong to `group`. + ``self.objects``, ``self.metadata`` and ``self.edges`` are modified. + Returns `True` if the group is non-empty. Otherwise returns `False`. + """ + self.metadata = [x for x in self.metadata if x.group == group] + group_set = set([x.id for x in self.metadata]) + self.objects = [obj for obj in self.objects if id(obj) in group_set] + self.count = len(self.metadata) + if self.metadata == []: + return False + + self.edges = [e for e in self.edges if e.group == group] + + del self._max_group + + return True + + def split(self): + """ + Split the graph into sub-graphs. Only connected objects belong to the + same graph. `split` yields copies of the Graph object. Shallow copies + are used that only replicate the meta-information, but share the same + object list ``self.objects``. + + >>> from pympler.refgraph import ReferenceGraph + >>> a = 42 + >>> b = 'spam' + >>> c = {a: b} + >>> t = (1,2,3) + >>> rg = ReferenceGraph([a,b,c,t]) + >>> for subgraph in rg.split(): + ... print (subgraph.index) + 0 + 1 + """ + self._annotate_groups() + index = 0 + + for group in range(self._max_group): + subgraph = copy(self) + subgraph.metadata = self.metadata[:] + subgraph.edges = self.edges.copy() + + if subgraph._filter_group(group): + subgraph.total_size = sum([x.size for x in subgraph.metadata]) + subgraph.index = index + index += 1 + yield subgraph + + def split_and_sort(self): + """ + Split the graphs into sub graphs and return a list of all graphs sorted + by the number of nodes. The graph with most nodes is returned first. + """ + graphs = list(self.split()) + graphs.sort(key=lambda x: -len(x.metadata)) + for index, graph in enumerate(graphs): + graph.index = index + return graphs + + def _annotate_objects(self): + """ + Extract meta-data describing the stored objects. + """ + self.metadata = [] + sizer = Asizer() + sizes = sizer.asizesof(*self.objects) + self.total_size = sizer.total + for obj, sz in zip(self.objects, sizes): + md = _MetaObject() + md.size = sz + md.id = id(obj) + try: + md.type = obj.__class__.__name__ + except (AttributeError, ReferenceError): # pragma: no cover + md.type = type(obj).__name__ + md.str = safe_repr(obj, clip=128) + self.metadata.append(md) + + def _get_graphviz_data(self): + """ + Emit a graph representing the connections between the objects described + within the metadata list. The text representation can be transformed to + a graph with graphviz. Returns a string. + """ + s = [] + header = '// Process this file with graphviz\n' + s.append(header) + s.append('digraph G {\n') + s.append(' node [shape=box];\n') + for md in self.metadata: + label = trunc(md.str, 48).replace('"', "'") + extra = '' + if md.type == 'instancemethod': + extra = ', color=red' + elif md.type == 'frame': + extra = ', color=orange' + s.append(' "X%s" [ label = "%s\\n%s" %s ];\n' % + (hex(md.id)[1:], label, md.type, extra)) + for e in self.edges: + extra = '' + if e.label == '__dict__': + extra = ',weight=100' + s.append(' X%s -> X%s [label="%s"%s];\n' % + (hex(e.src)[1:], hex(e.dst)[1:], e.label, extra)) + + s.append('}\n') + return "".join(s) + + def render(self, filename, cmd='dot', format='ps', unflatten=False): + """ + Render the graph to `filename` using graphviz. The graphviz invocation + command may be overridden by specifying `cmd`. The `format` may be any + specifier recognized by the graph renderer ('-Txxx' command). The + graph can be preprocessed by the *unflatten* tool if the `unflatten` + parameter is True. If there are no objects to illustrate, the method + does not invoke graphviz and returns False. If the renderer returns + successfully (return code 0), True is returned. + + An `OSError` is raised if the graphviz tool cannot be found. + """ + if self.objects == []: + return False + + data = self._get_graphviz_data() + + options = ('-Nfontsize=10', + '-Efontsize=10', + '-Nstyle=filled', + '-Nfillcolor=#E5EDB8', + '-Ncolor=#CCCCCC') + cmdline = (cmd, '-T%s' % format, '-o', filename) + options + + if unflatten: + p1 = Popen(('unflatten', '-l7'), stdin=PIPE, stdout=PIPE, + **popen_flags) + p2 = Popen(cmdline, stdin=p1.stdout, **popen_flags) + p1.communicate(data.encode()) + p2.communicate() + return p2.returncode == 0 + else: + p = Popen(cmdline, stdin=PIPE, **popen_flags) + p.communicate(data.encode()) + return p.returncode == 0 + + def write_graph(self, filename): + """ + Write raw graph data which can be post-processed using graphviz. + """ + f = open(filename, 'w') + f.write(self._get_graphviz_data()) + f.close() |