tor/scripts/maint/practracker/metrics.py

#!/usr/bin/python

# Implementation of various source code metrics.
# These are currently ad-hoc string operations and regexps.
# We might want to use a proper static analysis library in the future, if we want to get more advanced metrics.

import re

def get_file_len(f):
    """Get file length of file"""
    for i, l in enumerate(f):
        pass
    return i + 1

def get_include_count(f):
    """Get number of #include statements in the file"""
    include_count = 0
    for line in f:
        if re.match(r' *# *include', line):
            include_count += 1
    return include_count

def get_function_lines(f):
    """
    Return iterator which iterates over functions and returns (function name, function lines)
    """

    # Skip lines with these terms since they confuse our regexp
    REGEXP_CONFUSE_TERMS = ["MOCK_IMPL", "ENABLE_GCC_WARNINGS", "ENABLE_GCC_WARNING", "DUMMY_TYPECHECK_INSTANCE",
                            "DISABLE_GCC_WARNING", "DISABLE_GCC_WARNINGS"]

    in_function = False
    for lineno, line in enumerate(f):
        if any(x in line for x in REGEXP_CONFUSE_TERMS):
            continue

        if not in_function:
            # find the start of a function
            m = re.match(r'^([a-zA-Z_][a-zA-Z_0-9]*),?\(', line)
            if m:
                func_name = m.group(1)
                func_start = lineno
                in_function = True

        else:
            # Fund the end of a function
            if line.startswith("}"):
                n_lines = lineno - func_start
                in_function = False
                yield (func_name, n_lines)