I can address the pycparser part. The preprocessor leaves #line
directives that specify which file & line code came for, and pycparser consumes those. You can get that information from the AST it creates (see tests for an example).
Ignore includes with #pycparser and define multiple Subgraphs in #pydot
Domanda
I am new to stackoverflow, but I got a lot of help until now, thanks to the community for that.
I'm trying to create a software showing me caller depandencys for legacycode.
I'parsing a directory with c code with pycparcer, and for each file i want to create a subgraph with pydot.
Two questions:
When parsing a c file, the parser references the #includes, an i get also functions in my AST, from the included files. How can i know, if the function is included, or originaly from this actual file/ or ignore the #includes??
For each file i want to create a subgraph, an then add all functions in this file to this subgraph. I don't know how many subgraphs i have to create...
I have a set of files, where each file is a frozenset with the functions of this file somthing like this is pssible?
for files in SetOfFiles:
#how to create subgraph with name of files?
for function in files:
self.graph.add_node(pydot.Node(funktion)) #--> add node to subgraph "files"
I hope you got my challange... any ideas?
Thanks!
EDIT:
I solved the question about pydot, it was quiet easy... So I stay with my pycparser problem :(
for files in ListOfFuncs:
cluster_x = pydot.Cluster(files, label=files)
for functions in files:
cluster_x.add_node(pydot.Node(functions))
graph.add_subgraph(cluster_x)
Nessuna soluzione corretta
Altri suggerimenti