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Add more intelligent problem tracking.
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@ -5,7 +5,7 @@ Tor code best-practices tracker
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Go through the various .c files and collect metrics about them. If the metrics
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violate some of our best practices and they are not found in the optional
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exceptions file ("./exceptions.txt"), then log a violation about them.
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exceptions file ("./exceptions.txt"), then log a problem about them.
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The exceptions file is meant to be initialized with the current state of the
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source code as follows: ./practracker.py > ./exceptions.txt
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@ -22,6 +22,7 @@ import os, sys
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import metrics
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import util
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import problem
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# We don't want to run metrics for unittests, automatically-generated C files,
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# external libraries or git leftovers.
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@ -41,76 +42,74 @@ MAX_INCLUDE_COUNT = 50
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#######################################################
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def print_violation_if_not_exception(violation_str, exceptions_str):
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# Check if this violation is already in the optional exceptions file
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if exceptions_str and violation_str in exceptions_str:
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return
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print violation_str
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ProblemVault = None
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#######################################################
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def consider_file_size(fname, f, exceptions_str):
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def consider_file_size(fname, f):
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file_size = metrics.file_len(f)
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if file_size > MAX_FILE_SIZE:
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violation_str = "violation file-size %s %d" % (fname, file_size)
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print_violation_if_not_exception(violation_str, exceptions_str)
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v = problem.FileSizeProblem(fname, file_size)
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ProblemVault.register_problem(v)
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def consider_includes(fname, f, exceptions_str):
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def consider_includes(fname, f):
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include_count = metrics.get_include_count(f)
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if include_count > MAX_INCLUDE_COUNT:
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violation_str = "violation include-count %s %d" % (fname, include_count)
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print_violation_if_not_exception(violation_str, exceptions_str)
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v = problem.IncludeCountProblem(fname, include_count)
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ProblemVault.register_problem(v)
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def consider_function_size(fname, f, exceptions_str):
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def consider_function_size(fname, f):
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for name, lines in metrics.function_lines(f):
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# Don't worry about functions within our limits
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if lines <= MAX_FUNCTION_SIZE:
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continue
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# That's a big function! Issue a violation!
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# That's a big function! Issue a problem!
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canonical_function_name = "%s:%s()" % (fname,name)
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violation_str = "violation function-size %s %s" % (lines, canonical_function_name)
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print_violation_if_not_exception(violation_str, exceptions_str)
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v = problem.FunctionSizeProblem(canonical_function_name, lines)
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ProblemVault.register_problem(v)
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#######################################################
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def consider_all_metrics(files_list, exceptions_str):
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def consider_all_metrics(files_list):
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"""Consider metrics for all files"""
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for fname in files_list:
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with open(fname, 'r') as f:
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consider_metrics_for_file(fname, f, exceptions_str)
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consider_metrics_for_file(fname, f)
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def consider_metrics_for_file(fname, f, exceptions_str):
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def consider_metrics_for_file(fname, f):
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"""
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Get metrics for file with filename 'fname' and file descriptor 'f'.
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"""
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# Get file length
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consider_file_size(fname, f, exceptions_str)
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consider_file_size(fname, f)
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# Consider number of #includes
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f.seek(0)
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consider_includes(fname, f, exceptions_str)
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consider_includes(fname, f)
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# Get function length
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f.seek(0)
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consider_function_size(fname, f, exceptions_str)
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consider_function_size(fname, f)
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def main():
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global ProblemVault
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# 1) Get all the .c files we care about
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files_list = util.get_tor_c_files(TOR_TOPDIR, EXCLUDE_SOURCE_DIRS)
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# 2) Read an optional exceptions file so that we don't warn about the past
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exceptions_str = None
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# 2) Initialize problem vault and load an optional exceptions file so that
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# we don't warn about the past
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try:
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with open(EXCEPTIONS_FILE, 'r') as exception_f:
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exceptions_str = exception_f.read()
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ProblemVault = problem.ProblemVault(exception_f)
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except IOError:
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print "No exception file provided"
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ProblemVault = problem.ProblemVault(None)
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# 3) Go through all the files and report violations if they are not exceptions
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consider_all_metrics(files_list, exceptions_str)
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# 3) Go through all the files and report problems if they are not exceptions
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consider_all_metrics(files_list)
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if __name__ == '__main__':
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main()
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96
scripts/maint/practracker/problem.py
Normal file
96
scripts/maint/practracker/problem.py
Normal file
@ -0,0 +1,96 @@
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"""
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In this file we define a ProblemVault class where we store all the
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exceptions and all the problems we find with the code.
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The ProblemVault is capable of registering problems and also figuring out if a
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problem is worse than a registered exception so that it only warns when things
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get worse.
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"""
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class ProblemVault(object):
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"""
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Singleton where we store the various new problems we
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found in the code, and also the old problems we read from the exception
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file.
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"""
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def __init__(self, exception_file):
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# Exception dictionary: { problem.key() : Problem object }
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self.exceptions = {}
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if exception_file:
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self.register_exceptions(exception_file)
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def register_exceptions(self, exception_file):
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# Register exceptions
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for line in exception_file:
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problem = get_old_problem_from_exception_str(line)
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if problem is None:
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continue
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# XXX this might overwrite problems with the same key (e.g. MOCK_IMPL)
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self.exceptions[problem.key()] = problem
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#print "Registering exception: %s" % problem
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def register_problem(self, problem):
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# This is a new problem, print it
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if problem.key() not in self.exceptions:
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print problem
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return
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# If it's an old problem, we don't warn if the situation got better
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# (e.g. we went from 4k LoC to 3k LoC), but we do warn if the
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# situation worsened (e.g. we went from 60 includes to 80).
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if problem.is_worse_than(self.exceptions[problem.key()]):
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print problem
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return
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# else:
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# print "OK %s better than %s" % (problem, self.exceptions[problem.key()])
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class Problem(object):
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def __init__(self, problem_type, problem_location, metric_value):
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self.problem_location = problem_location
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self.metric_value = int(metric_value)
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self.problem_type = problem_type
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def is_worse_than(self, other_problem):
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"""Return True if this is a worse problem than other_problem"""
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if self.metric_value > other_problem.metric_value:
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return True
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return False
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def key(self):
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"""Generate a unique key that describes this problem that can be used as a dictionary key"""
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return "%s:%s" % (self.problem_location, self.problem_type)
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def __str__(self):
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return "problem %s %s %s" % (self.problem_type, self.problem_location, self.metric_value)
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class FileSizeProblem(Problem):
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def __init__(self, problem_location, metric_value):
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super(FileSizeProblem, self).__init__("file-size", problem_location, metric_value)
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class IncludeCountProblem(Problem):
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def __init__(self, problem_location, metric_value):
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super(IncludeCountProblem, self).__init__("include-count", problem_location, metric_value)
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class FunctionSizeProblem(Problem):
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def __init__(self, problem_location, metric_value):
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super(FunctionSizeProblem, self).__init__("function-size", problem_location, metric_value)
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def get_old_problem_from_exception_str(exception_str):
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try:
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_, problem_type, problem_location, metric_value = exception_str.split(" ")
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except ValueError:
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return None
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if problem_type == "file-size":
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return FileSizeProblem(problem_location, metric_value)
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elif problem_type == "include-count":
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return IncludeCountProblem(problem_location, metric_value)
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elif problem_type == "function-size":
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return FunctionSizeProblem(problem_location, metric_value)
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else:
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print "Unknown exception line %s" % exception_str
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return None
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