def output_parent_function_graph(rule_classification_data_bundle):
report_dict, reference_dict = rule_classification_data_bundle
identifier_dict = {
parent: f"p{index}"
for index, parent in enumerate(report_dict.keys())
}
dot = Digraph(**_GRAPH_SETTINGS)
for parent, identifier in identifier_dict.items():
descriptions = "\l".join(report_dict[parent]) + "\l"
with dot.subgraph(
name=f"cluster_{identifier}",
graph_attr={
"label": _get_function_display_name(parent),
"fontsize": "16",
},
) as sub:
sub.node(identifier, label=descriptions)
edge_list = []
for parent, identifier in identifier_dict.items():
edge_list.extend([(identifier, identifier_dict[function])
for function in reference_dict[parent]])
dot.edges(edge_list)
dot.render()
def _visit_blocks(
self,
graph: Digraph,
block: Block,
visited: Set[Block] = set(),
calls: bool = True,
format: str = None,
interactive: bool = False,
) -> None:
# Don't visit blocks twice.
if block in visited:
return
visited.add(block)
nodeshape, nodecolor, nodelabel = self.stylize_node(block)
node_type = block.type()
original_nodelabel = nodelabel
nodelabel = ""
if (self.isShort and not isinstance(node_type, ast.ClassDef)
and not isinstance(node_type, ast.FunctionDef)
and not isinstance(node_type, ast.If)
and not isinstance(node_type, ast.While)):
sub_pattern = r"""(\"|') # Group 1: " or '
(?=[^\"'\r\n]{20,}) # Enforce min length of 20
([^\"'\r\n]{,20}) # Group 2: Words that stay
([^\"'\r\n]{,9999}) # Group 3: Shorten these
(\"|')""" # Group 4: " or '
original_nodelabel = original_nodelabel.replace("\l", "\n")
for line in original_nodelabel.splitlines():
tmp_line = re.sub(sub_pattern,
r"\1\2...\4",
line,
flags=re.VERBOSE)
nodelabel += tmp_line + "\l"
else:
nodelabel = original_nodelabel
graph.node(
str(block.id),
label=nodelabel,
_attributes={
"style": f"filled,{self.border_style(block, interactive)}",
"shape": nodeshape,
"fillcolor": self.fillcolor(block, interactive, nodecolor),
},
)
if isinstance(block, TryBlock):
for except_block in block.except_blocks.values():
self._visit_blocks(graph, except_block, visited, calls, format)
if calls and block.func_calls:
calls_node = str(block.id) + "_calls"
# Remove any duplicates by splitting on newlines and creating a set
calls_label = block.get_calls().strip()
# Create a new subgraph for call statement
calls_subgraph = gv.Digraph(
name=f"cluster_{block.id}",
format=format,
graph_attr={
"rankdir": "TB",
"ranksep": "0.02",
"style": "filled",
"color": self.fillcolor(block, interactive, "purple"),
"compound": "true",
"fontname": "DejaVu Sans Mono",
"shape": self.node_styles[ast.Call][0],
"label": "",
},
node_attr={"fontname": "DejaVu Sans Mono"},
edge_attr={"fontname": "DejaVu Sans Mono"},
)
# Generate control flow edges for function arguments
for func_block in block.func_blocks:
graph.edge(
str(block.id),
str(func_block.id),
label="calls",
_attributes={"style": "dashed"},
)
self._visit_func(
calls_subgraph,
func_block,
visited=set(),
interactive=interactive,
)
graph.subgraph(calls_subgraph)
tmp = ""
for line in calls_label.splitlines():
if "input" in line:
input_node = str(block.id) + "_input"
nodeshape, nodecolor = self.node_styles["input"]
graph.node(
input_node,
label=line,
_attributes={
"style":
f"filled,{self.border_style(block, interactive)}",
"shape":
nodeshape,
"fillcolor":
self.fillcolor(block, interactive, nodecolor),
},
)
graph.edge(input_node, str(block.id)) # yellow
# _attributes={'style': 'dashed'})
else:
line += "\l"
tmp += line
# Recursively visit all the blocks of the CFG.
for exit in block.exits:
assert block == exit.source
self._visit_blocks(
graph,
exit.target,
visited,
calls=calls,
format=format,
interactive=interactive,
)
edgeshape, edgecolor, edgelabel = self.stylize_edge(exit)
graph.edge(
str(block.id),
str(exit.target.id),
label=edgelabel,
_attributes={"color": edgecolor},
)