PyCG - Practical Python Call Graphs
Project description
:warning: Notes
Forked from https://github.com/vitsalis/pycg
Changes: See https://github.com/deeplime-io/PyCG/tree/onecode
Essentially added code tracks the order of the calls and the code associated to it. It is used by OneCode to properly interpret code based on the excellent PyCG
.
Why a new PyPi package? Well, the not-so-great PyPi doesn't allow to have forked public repositories as part of the dependencies. Nice right?
PyCG - Practical Python Call Graphs
PyCG generates call graphs for Python code using static analysis. It efficiently supports
- Higher order functions
- Twisted class inheritance schemes
- Automatic discovery of imported modules for further analysis
- Nested definitions
You can read the full methodology as well as a complete evaluation on the ICSE 2021 paper.
You can cite PyCG as follows. Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis and Dimitris Mitropoulos. PyCG: Practical Call Graph Generation in Python. In 43rd International Conference on Software Engineering, ICSE '21, 25–28 May 2021.
Installation
PyCG is implemented in Python3 and requires Python version 3.4 or higher. It also has no dependencies. Simply:
pip install onecode-pycg
Usage
~ >>> pycg -h
usage: __main__.py [-h] [--package PACKAGE] [--fasten] [--product PRODUCT]
[--forge FORGE] [--version VERSION] [--timestamp TIMESTAMP]
[--max-iter MAX_ITER] [--operation {call-graph,key-error}]
[--as-graph-output AS_GRAPH_OUTPUT] [-o OUTPUT]
[entry_point ...]
positional arguments:
entry_point Entry points to be processed
optional arguments:
-h, --help show this help message and exit
--package PACKAGE Package containing the code to be analyzed
--fasten Produce call graph using the FASTEN format
--product PRODUCT Package name
--forge FORGE Source the product was downloaded from
--version VERSION Version of the product
--timestamp TIMESTAMP
Timestamp of the package's version
--max-iter MAX_ITER Maximum number of iterations through source code. If not specified a fix-point iteration will be performed.
--operation {call-graph,key-error}
Operation to perform. Choose call-graph for call graph generation (default) or key-error for key error detection on dictionaries.
--as-graph-output AS_GRAPH_OUTPUT
Output for the assignment graph
-o OUTPUT, --output OUTPUT
Output path
The following command line arguments should used only when --fasten
is
provied:
--product
: The name of the package.--forge
: Source the package was downloaded from.--version
: The version of the package.--timestamp
: The timestamp of the package's version.
Call Graph Output
Simple JSON format
The call edges are in the form of an adjacency list where an edge (src, dst)
is represented as an entry of dst
in the list assigned to key src
:
{
"node1": ["node2", "node3"],
"node2": ["node3"],
"node3": []
}
FASTEN Format
For an up-to-date description of the FASTEN format refer to the FASTEN wiki.
Key Errors Output
We are currently experimenting on identifying potential invalid dictionary accesses on Python dictionaries (key errors). The output format for key errors is a list of dictionaries containing:
- The file name in which the key error was identified
- The line number inside the file
- The namespace of the accessed dictionary
- The key used to access the dictionary
[{
"filename": "mod.py",
"lineno": 2,
"namespace": "mod.<dict1>",
"key": "key2"
},
{
"filename": "mod.py",
"lineno": 8,
"namespace": "mod.<dict1>",
"key": "nokey"
}]
Examples
All the entry points are known and we want the simple JSON format
~ >>> pycg --package pkg_root pkg_root/module1.py pkg_root/subpackage/module2.py -o cg.json
All entry points are not known and we want the simple JSON format
~ >>> pycg --package django $(find django -type f -name "*.py") -o django.json
We want the FASTEN format:
~ >>> pycg --package pypi_pkg --fasten --product "pypipkg" --forge "PyPI" \
--version "0.1" --timestamp 42 \
pypi_pkg/module1.py pkg_root/subpackage/module2.py -o cg.json
Running Tests
From the root directory, first install the mock package:
pip3 install mock
Τhen, simply run the tests by executing:
make test
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