mirror of
https://github.com/nlohmann/json
synced 2024-12-12 20:40:10 +00:00
372 lines
16 KiB
Python
Executable File
372 lines
16 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Author: Bryan Gillespie
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A massively parallel gcov wrapper for generating intermediate coverage formats fast
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The goal of fastcov is to generate code coverage intermediate formats as fast as possible
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(ideally < 1 second), even for large projects with hundreds of gcda objects. The intermediate
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formats may then be consumed by a report generator such as lcov's genhtml, or a dedicated front
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end such as coveralls.
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Sample Usage:
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$ cd build_dir
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$ ./fastcov.py --zerocounters
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$ <run unit tests>
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$ ./fastcov.py --exclude /usr/include test/ --lcov -o report.info
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$ genhtml -o code_coverage report.info
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"""
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import re
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import os
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import sys
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import glob
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import json
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import time
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import argparse
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import threading
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import subprocess
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import multiprocessing
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MINIMUM_GCOV = (9,0,0)
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MINIMUM_CHUNK_SIZE = 5
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# Interesting metrics
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START_TIME = time.time()
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GCOVS_TOTAL = []
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GCOVS_SKIPPED = []
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def chunks(l, n):
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"""Yield successive n-sized chunks from l."""
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for i in range(0, len(l), n):
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yield l[i:i + n]
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def stopwatch():
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"""Return number of seconds since last time this was called"""
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global START_TIME
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end_time = time.time()
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delta = end_time - START_TIME
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START_TIME = end_time
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return delta
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def parseVersionFromLine(version_str):
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"""Given a string containing a dotted integer version, parse out integers and return as tuple"""
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version = re.search(r'(\d+\.\d+\.\d+)[^\.]', version_str)
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if not version:
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return (0,0,0)
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return tuple(map(int, version.group(1).split(".")))
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def getGcovVersion(gcov):
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p = subprocess.Popen([gcov, "-v"], stdout=subprocess.PIPE)
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output = p.communicate()[0].decode('UTF-8')
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p.wait()
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return parseVersionFromLine(output.split("\n")[0])
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def removeFiles(files):
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for file in files:
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os.remove(file)
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def getFilteredGcdaFiles(gcda_files, exclude):
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def excludeGcda(gcda):
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for ex in exclude:
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if ex in gcda:
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return False
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return True
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return list(filter(excludeGcda, gcda_files))
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def getGcdaFiles(cwd, gcda_files):
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if not gcda_files:
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gcda_files = glob.glob(os.path.join(os.path.abspath(cwd), "**/*.gcda"), recursive=True)
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return gcda_files
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def gcovWorker(cwd, gcov, files, chunk, gcov_filter_options, branch_coverage):
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gcov_args = "-it"
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if branch_coverage:
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gcov_args += "b"
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p = subprocess.Popen([gcov, gcov_args] + chunk, cwd=cwd, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL)
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for line in iter(p.stdout.readline, b''):
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intermediate_json = json.loads(line.decode(sys.stdout.encoding))
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intermediate_json_files = processGcovs(cwd, intermediate_json["files"], gcov_filter_options)
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for f in intermediate_json_files:
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files.append(f) #thread safe, there might be a better way to do this though
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GCOVS_TOTAL.append(len(intermediate_json["files"]))
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GCOVS_SKIPPED.append(len(intermediate_json["files"])-len(intermediate_json_files))
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p.wait()
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def processGcdas(cwd, gcov, jobs, gcda_files, gcov_filter_options, branch_coverage):
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chunk_size = max(MINIMUM_CHUNK_SIZE, int(len(gcda_files) / jobs) + 1)
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threads = []
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intermediate_json_files = []
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for chunk in chunks(gcda_files, chunk_size):
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t = threading.Thread(target=gcovWorker, args=(cwd, gcov, intermediate_json_files, chunk, gcov_filter_options, branch_coverage))
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threads.append(t)
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t.start()
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log("Spawned %d gcov threads, each processing at most %d gcda files" % (len(threads), chunk_size))
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for t in threads:
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t.join()
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return intermediate_json_files
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def processGcov(cwd, gcov, files, gcov_filter_options):
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# Add absolute path
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gcov["file_abs"] = os.path.abspath(os.path.join(cwd, gcov["file"]))
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# If explicit sources were passed, check for match
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if gcov_filter_options["sources"]:
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if gcov["file_abs"] in gcov_filter_options["sources"]:
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files.append(gcov)
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return
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# Check include filter
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if gcov_filter_options["include"]:
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for ex in gcov_filter_options["include"]:
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if ex in gcov["file"]:
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files.append(gcov)
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break
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return
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# Check exclude filter
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for ex in gcov_filter_options["exclude"]:
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if ex in gcov["file"]:
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return
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files.append(gcov)
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def processGcovs(cwd, gcov_files, gcov_filter_options):
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files = []
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for gcov in gcov_files:
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processGcov(cwd, gcov, files, gcov_filter_options)
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return files
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def dumpBranchCoverageToLcovInfo(f, branches):
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branch_miss = 0
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for line_num, branch_counts in branches.items():
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for i, count in enumerate(branch_counts):
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#Branch (<line number>, <block number>, <branch number>, <taken>)
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f.write("BRDA:%s,%d,%d,%d\n" % (line_num, int(i/2), i, count))
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branch_miss += int(count == 0)
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f.write("BRF:%d\n" % len(branches)) #Branches Found
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f.write("BRH:%d\n" % (len(branches) - branch_miss)) #Branches Hit
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def dumpToLcovInfo(fastcov_json, output):
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with open(output, "w") as f:
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for sf, data in fastcov_json["sources"].items():
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f.write("SF:%s\n" % sf) #Source File
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fn_miss = 0
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for function, fdata in data["functions"].items():
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f.write("FN:%d,%s\n" % (fdata["start_line"], function)) #Function Start Line
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f.write("FNDA:%d,%s\n" % (fdata["execution_count"], function)) #Function Hits
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fn_miss += int(fdata["execution_count"] == 0)
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f.write("FNF:%d\n" % len(data["functions"])) #Functions Found
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f.write("FNH:%d\n" % (len(data["functions"]) - fn_miss)) #Functions Hit
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if data["branches"]:
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dumpBranchCoverageToLcovInfo(f, data["branches"])
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line_miss = 0
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for line_num, count in data["lines"].items():
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f.write("DA:%s,%d\n" % (line_num, count)) #Line
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line_miss += int(count == 0)
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f.write("LF:%d\n" % len(data["lines"])) #Lines Found
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f.write("LH:%d\n" % (len(data["lines"]) - line_miss)) #Lines Hit
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f.write("end_of_record\n")
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def exclMarkerWorker(fastcov_sources, chunk):
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for source in chunk:
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# If there are no covered lines, skip
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if not fastcov_sources[source]["lines"]:
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continue
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start_line = 0
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end_line = 0
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with open(source) as f:
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for i, line in enumerate(f, 1): #Start enumeration at line 1
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if not "LCOV_EXCL" in line:
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continue
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if "LCOV_EXCL_LINE" in line:
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if str(i) in fastcov_sources[source]["lines"]:
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del fastcov_sources[source]["lines"][str(i)]
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if str(i) in fastcov_sources[source]["branches"]:
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del fastcov_sources[source]["branches"][str(i)]
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elif "LCOV_EXCL_START" in line:
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start_line = i
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elif "LCOV_EXCL_STOP" in line:
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end_line = i
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if not start_line:
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end_line = 0
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continue
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for key in ["lines", "branches"]:
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for line_num in list(fastcov_sources[source][key].keys()):
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if int(line_num) <= end_line and int(line_num) >= start_line:
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del fastcov_sources[source][key][line_num]
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start_line = end_line = 0
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def scanExclusionMarkers(fastcov_json, jobs):
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chunk_size = max(MINIMUM_CHUNK_SIZE, int(len(fastcov_json["sources"]) / jobs) + 1)
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threads = []
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for chunk in chunks(list(fastcov_json["sources"].keys()), chunk_size):
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t = threading.Thread(target=exclMarkerWorker, args=(fastcov_json["sources"], chunk))
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threads.append(t)
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t.start()
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log("Spawned %d threads each scanning at most %d source files" % (len(threads), chunk_size))
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for t in threads:
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t.join()
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def distillFunction(function_raw, functions):
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function_name = function_raw["name"]
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if function_name not in functions:
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functions[function_name] = {
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"start_line": function_raw["start_line"],
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"execution_count": function_raw["execution_count"]
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}
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else:
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functions[function_name]["execution_count"] += function_raw["execution_count"]
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def distillLine(line_raw, lines, branches):
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line_number = str(line_raw["line_number"])
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if line_number not in lines:
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lines[line_number] = line_raw["count"]
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else:
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lines[line_number] += line_raw["count"]
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for i, branch in enumerate(line_raw["branches"]):
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if line_number not in branches:
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branches[line_number] = []
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blen = len(branches[line_number])
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glen = len(line_raw["branches"])
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if blen < glen:
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branches[line_number] += [0] * (glen - blen)
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branches[line_number][i] += branch["count"]
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def distillSource(source_raw, sources):
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source_name = source_raw["file_abs"]
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if source_name not in sources:
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sources[source_name] = {
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"functions": {},
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"branches": {},
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"lines": {},
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}
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for function in source_raw["functions"]:
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distillFunction(function, sources[source_name]["functions"])
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for line in source_raw["lines"]:
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distillLine(line, sources[source_name]["lines"], sources[source_name]["branches"])
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def distillReport(report_raw):
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report_json = {
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"sources": {}
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}
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for source in report_raw:
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distillSource(source, report_json["sources"])
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return report_json
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def dumpToJson(intermediate, output):
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with open(output, "w") as f:
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json.dump(intermediate, f)
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def log(line):
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if not args.quiet:
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print("[{:.3f}s] {}".format(stopwatch(), line))
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def getGcovFilterOptions(args):
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return {
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"sources": set([os.path.abspath(s) for s in args.sources]), #Make paths absolute, use set for fast lookups
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"include": args.includepost,
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"exclude": args.excludepost,
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}
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def main(args):
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# Need at least gcov 9.0.0 because that's when gcov JSON and stdout streaming was introduced
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current_gcov_version = getGcovVersion(args.gcov)
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if current_gcov_version < MINIMUM_GCOV:
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sys.stderr.write("Minimum gcov version {} required, found {}\n".format(".".join(map(str, MINIMUM_GCOV)), ".".join(map(str, current_gcov_version))))
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exit(1)
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# Get list of gcda files to process
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gcda_files = getGcdaFiles(args.directory, args.gcda_files)
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log("Found {} .gcda files ".format(len(gcda_files)))
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# If gcda filtering is enabled, filter them out now
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if args.excludepre:
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gcda_files = getFilteredGcdaFiles(gcda_files, args.excludepre)
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log("{} .gcda files after filtering".format(len(gcda_files)))
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# We "zero" the "counters" by simply deleting all gcda files
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if args.zerocounters:
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removeFiles(gcda_files)
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log("{} .gcda files removed".format(len(gcda_files)))
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return
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# Fire up one gcov per cpu and start processing gcdas
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gcov_filter_options = getGcovFilterOptions(args)
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intermediate_json_files = processGcdas(args.cdirectory, args.gcov, args.jobs, gcda_files, gcov_filter_options, args.branchcoverage)
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# Summarize processing results
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gcov_total = sum(GCOVS_TOTAL)
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gcov_skipped = sum(GCOVS_SKIPPED)
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log("Processed {} .gcov files ({} total, {} skipped)".format(gcov_total - gcov_skipped, gcov_total, gcov_skipped))
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# Distill all the extraneous info gcov gives us down to the core report
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fastcov_json = distillReport(intermediate_json_files)
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log("Aggregated raw gcov JSON into fastcov JSON report")
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# Dump to desired file format
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if args.lcov:
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scanExclusionMarkers(fastcov_json, args.jobs)
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log("Scanned {} source files for exclusion markers".format(len(fastcov_json["sources"])))
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dumpToLcovInfo(fastcov_json, args.output)
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log("Created lcov info file '{}'".format(args.output))
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elif args.gcov_raw:
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dumpToJson(intermediate_json_files, args.output)
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log("Created gcov raw json file '{}'".format(args.output))
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else:
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dumpToJson(fastcov_json, args.output)
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log("Created fastcov json file '{}'".format(args.output))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='A parallel gcov wrapper for fast coverage report generation')
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parser.add_argument('-z', '--zerocounters', dest='zerocounters', action="store_true", help='Recursively delete all gcda files')
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# Enable Branch Coverage
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parser.add_argument('-b', '--branch-coverage', dest='branchcoverage', action="store_true", help='Include branch counts in the coverage report')
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# Filtering Options
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parser.add_argument('-s', '--source-files', dest='sources', nargs="+", metavar='', default=[], help='Filter: Specify exactly which source files should be included in the final report. Paths must be either absolute or relative to current directory.')
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parser.add_argument('-e', '--exclude', dest='excludepost', nargs="+", metavar='', default=[], help='Filter: Exclude source files from final report if they contain one of the provided substrings (i.e. /usr/include test/, etc.)')
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parser.add_argument('-i', '--include', dest='includepost', nargs="+", metavar='', default=[], help='Filter: Only include source files in final report that contain one of the provided substrings (i.e. src/ etc.)')
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parser.add_argument('-f', '--gcda-files', dest='gcda_files', nargs="+", metavar='', default=[], help='Filter: Specify exactly which gcda files should be processed instead of recursively searching the search directory.')
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parser.add_argument('-E', '--exclude-gcda', dest='excludepre', nargs="+", metavar='', default=[], help='Filter: Exclude gcda files from being processed via simple find matching (not regex)')
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parser.add_argument('-g', '--gcov', dest='gcov', default='gcov', help='Which gcov binary to use')
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parser.add_argument('-d', '--search-directory', dest='directory', default=".", help='Base directory to recursively search for gcda files (default: .)')
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parser.add_argument('-c', '--compiler-directory', dest='cdirectory', default=".", help='Base directory compiler was invoked from (default: .) \
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This needs to be set if invoking fastcov from somewhere other than the base compiler directory.')
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parser.add_argument('-j', '--jobs', dest='jobs', type=int, default=multiprocessing.cpu_count(), help='Number of parallel gcov to spawn (default: %d).' % multiprocessing.cpu_count())
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parser.add_argument('-m', '--minimum-chunk-size', dest='minimum_chunk', type=int, default=5, help='Minimum number of files a thread should process (default: 5). \
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If you have only 4 gcda files but they are monstrously huge, you could change this value to a 1 so that each thread will only process 1 gcda. Otherise fastcov will spawn only 1 thread to process all of them.')
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parser.add_argument('-l', '--lcov', dest='lcov', action="store_true", help='Output in lcov info format instead of fastcov json')
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parser.add_argument('-r', '--gcov-raw', dest='gcov_raw', action="store_true", help='Output in gcov raw json instead of fastcov json')
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parser.add_argument('-o', '--output', dest='output', default="coverage.json", help='Name of output file (default: coverage.json)')
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parser.add_argument('-q', '--quiet', dest='quiet', action="store_true", help='Suppress output to stdout')
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args = parser.parse_args()
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main(args) |