cpg2py 1.0.4

A graph-based data structure designed for querying CSV files in Joern format in Python

cpg2py: Graph-Based Query Engine for Joern CSV Files

cpg2py is a Python library that provides a lightweight graph-based query engine for analyzing Code Property Graphs (CPG) extracted from Joern CSV files. The library offers an abstract base class (ABC) architecture, allowing users to extend and implement their own custom graph queries.

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🚀 Features

• MultiDiGraph Representation: A directed multi-graph with support for multiple edges between nodes.
• CSV-Based Graph Construction: Reads nodes.csv and rels.csv to construct a graph structure.
• Extensible Abstract Base Classes (ABC):
  • AbcGraphQuerier for implementing custom graph queries.
  • AbcNodeQuerier for interacting with nodes.
  • AbcEdgeQuerier for interacting with edges.
• Built-in Query Mechanisms:
  • Retrieve all edges.
  • Get incoming (**) and outgoing (**) edges of a node.
  • Find successors (**) and predecessors (**).
  • Traverse AST, Control Flow, and Data Flow Graphs.

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📚 Installation

To install the package, use:

pip install git+https://github.com/YichaoXu/cpg2py.git

Or clone the pip repository:

pip install cpg2py

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📂 File Structure

• nodes.csv (Example):

id:int	labels:label	type	flags:string_array	lineno:int	code	childnum:int	funcid:int	classname	namespace	endlineno:int	name	doccomment
0	Filesystem	Directory									"input"	
1	Filesystem	File									"example.php"	
2	AST	AST_TOPLEVEL	TOPLEVEL_FILE	1					""	25	"/input/example.php"	

• rels.csv (Example):

start	end	type
2	3	ENTRY
2	4	EXIT
6	7	ENTRY
6	9	PARENT_OF

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📚 Usage

1️⃣ Load Graph from Joern CSVs

from cpg2py import cpg_graph

# Load graph from CSV files
graph = cpg_graph("nodes.csv", "rels.csv")

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2️⃣ Query Nodes & Edges

# Get a specific node
node = graph.node("2")
print(node.name, node.type)  # Example output: "/tmp/example.php" AST_TOPLEVEL

# Get a specific edge
edge = graph.edge("2", "3", "ENTRY")
print(edge.type)  # Output: ENTRY

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3️⃣ Get Node Connections

# Get all outgoing edges from a node
outgoing_edges = graph.succ(node)
for out_node in outgoing_edges:
    print(out_node.id, out_node.name)

# Get all incoming edges to a node
incoming_edges = graph.prev(node)
for in_node in incoming_edges:
    print(in_node.id, in_node.name)

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4️⃣ AST and Flow Queries

# Get top-level file node for a given node
top_file = graph.topfile_node("5")
print(top_file.name)  # Output: "example.php"

# Get child nodes in the AST hierarchy
children = graph.children(node)
print([child.id for child in children])

# Get data flow successors
flow_successors = graph.flow_to(node)
print([succ.id for succ in flow_successors])

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🛠 Abstract Base Classes (ABC)

The following abstract base classes (ABC) provide interfaces for extending node, edge, and graph querying behavior.

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🔹 AbcNodeQuerier (Abstract Node Interface)

This class defines how nodes interact with the graph storage.

from cpg2py.abc import AbcNodeQuerier

class MyNodeQuerier(AbcNodeQuerier):
    def __init__(self, graph, nid):
        super().__init__(graph, nid)

    @property
    def name(self):
        return self.get_property("name")

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🔹 AbcEdgeQuerier (Abstract Edge Interface)

Defines the querying mechanisms for edges in the graph.

from cpg2py.abc import AbcEdgeQuerier

class MyEdgeQuerier(AbcEdgeQuerier):
    def __init__(self, graph, f_nid, t_nid, e_type):
        super().__init__(graph, f_nid, t_nid, e_type)

    @property
    def type(self):
        return self.get_property("type")

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🔹 AbcGraphQuerier (Abstract Graph Interface)

This class provides an interface for implementing custom graph query mechanisms.

from cpg2py.abc import AbcGraphQuerier

class MyGraphQuerier(AbcGraphQuerier):
    def node(self, nid: str):
        return MyNodeQuerier(self.storage, nid)

    def edge(self, fid, tid, eid):
        return MyEdgeQuerier(self.storage, fid, tid, eid)

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🔍 Querying The Graph

After implementing the abstract classes, you can perform advanced queries:

graph = MyGraphQuerier(storage)

# Query node properties
node = graph.node("5")
print(node.name)  # Example Output: "main"

# Query edge properties
edge = graph.edge("5", "6", "FLOWS_TO")
print(edge.type)  # Output: "FLOWS_TO"

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🐝 API Reference

For a more detail APIs document please see our APIs doc

• Graph Functions:
  • cpg_graph(node_csv, edge_csv): Loads graph from CSV files.
  • graph.node(nid): Retrieves a node by ID.
  • graph.edge(fid, tid, eid): Retrieves an edge.
  • graph.succ(node): Gets successor nodes.
  • graph.prev(node): Gets predecessor nodes.
• Node Properties:
  • .name: Node name.
  • .type: Node type.
  • .line_num: Source code line number.
• Edge Properties:
  • .start: Edge start node.
  • .end: Edge end node.
  • .type: Edge type.

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🌟 License

This project is licensed under the MIT License.