#!/usr/bin/env python3
# SPDX-License-Identifier: MIT
# Copyright 2018-present, Bryan Gillespie
"""
Author: Bryan Gillespie
https://github.com/RPGillespie6/fastcov
A massively parallel gcov wrapper for generating intermediate coverage formats fast
The goal of fastcov is to generate code coverage intermediate formats as fast as possible,
even for large projects with hundreds of gcda objects. The intermediate formats may then be
consumed by a report generator such as lcov's genhtml, or a dedicated frontend such as coveralls.
Sample Usage:
$ cd build_dir
$ ./fastcov.py --zerocounters
$ <run unit tests>
$ ./fastcov.py --exclude /usr/include test/ --lcov -o report.info
$ genhtml -o code_coverage report.info
"""
import re
import os
import sys
import glob
import json
import time
import logging
import argparse
import threading
import subprocess
import multiprocessing
FASTCOV_VERSION = (1,7)
MINIMUM_PYTHON = (3,5)
MINIMUM_GCOV = (9,0,0)
# Interesting metrics
START_TIME = time.monotonic()
GCOVS_TOTAL = 0
GCOVS_SKIPPED = 0
# For when things go wrong...
# Start error codes at 3 because 1-2 are special
# See https://stackoverflow.com/a/1535733/2516916
EXIT_CODE = 0
EXIT_CODES = {
"gcov_version": 3,
"python_version": 4,
"unsupported_coverage_format": 5,
"excl_not_found": 6,
}
# Disable all logging in case developers are using this as a module
logging.disable(level=logging.CRITICAL)
class FastcovFormatter(logging.Formatter):
def format(self, record):
record.levelname = record.levelname.lower()
log_message = super(FastcovFormatter, self).format(record)
return "[{:.3f}s] {}".format(stopwatch(), log_message)
def chunks(l, n):
"""Yield successive n-sized chunks from l."""
for i in range(0, len(l), n):
yield l[i:i + n]
def setExitCode(key):
global EXIT_CODE
EXIT_CODE = EXIT_CODES[key]
def incrementCounters(total, skipped):
global GCOVS_TOTAL
global GCOVS_SKIPPED
GCOVS_TOTAL += total
GCOVS_SKIPPED += skipped
def stopwatch():
"""Return number of seconds since last time this was called."""
global START_TIME
end_time = time.monotonic()
delta = end_time - START_TIME
START_TIME = end_time
return delta
def parseVersionFromLine(version_str):
"""Given a string containing a dotted integer version, parse out integers and return as tuple."""
version = re.search(r'(\d+\.\d+\.\d+)', version_str)
if not version:
return (0,0,0)
return tuple(map(int, version.group(1).split(".")))
def getGcovVersion(gcov):
p = subprocess.Popen([gcov, "-v"], stdout=subprocess.PIPE)
output = p.communicate()[0].decode('UTF-8')
p.wait()
return parseVersionFromLine(output.split("\n")[0])
def removeFiles(files):
for file in files:
os.remove(file)
def getFilteredCoverageFiles(coverage_files, exclude):
def excludeGcda(gcda):
for ex in exclude:
if ex in gcda:
logging.debug("Omitting %s due to '--exclude-gcda %s'", gcda, ex)
return False
return True
return list(filter(excludeGcda, coverage_files))
def findCoverageFiles(cwd, coverage_files, use_gcno):
coverage_type = "user provided"
if not coverage_files:
coverage_type = "gcno" if use_gcno else "gcda"
coverage_files = glob.glob(os.path.join(os.path.abspath(cwd), "**/*." + coverage_type), recursive=True)
logging.info("Found {} coverage files ({})".format(len(coverage_files), coverage_type))
logging.debug("Coverage files found:\n %s", "\n ".join(coverage_files))
return coverage_files
def gcovWorker(data_q, metrics_q, args, chunk, gcov_filter_options):
base_report = {"sources": {}}
gcovs_total = 0
gcovs_skipped = 0
gcov_args = "-it"
if args.branchcoverage or args.xbranchcoverage:
gcov_args += "b"
p = subprocess.Popen([args.gcov, gcov_args] + chunk, cwd=args.cdirectory, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL)
for line in iter(p.stdout.readline, b''):
intermediate_json = json.loads(line.decode(sys.stdout.encoding))
intermediate_json_files = processGcovs(args.cdirectory, intermediate_json["files"], gcov_filter_options)
for f in intermediate_json_files:
distillSource(f, base_report["sources"], args.test_name, args.xbranchcoverage)
gcovs_total += len(intermediate_json["files"])
gcovs_skipped += len(intermediate_json["files"]) - len(intermediate_json_files)
p.wait()
data_q.put(base_report)
metrics_q.put((gcovs_total, gcovs_skipped))
def processGcdas(args, coverage_files, gcov_filter_options):
chunk_size = max(args.minimum_chunk, int(len(coverage_files) / args.jobs) + 1)
processes = []
data_q = multiprocessing.Queue()
metrics_q = multiprocessing.Queue()
for chunk in chunks(coverage_files, chunk_size):
p = multiprocessing.Process(target=gcovWorker, args=(data_q, metrics_q, args, chunk, gcov_filter_options))
processes.append(p)
p.start()
logging.info("Spawned {} gcov processes, each processing at most {} coverage files".format(len(processes), chunk_size))
fastcov_jsons = []
for p in processes:
fastcov_jsons.append(data_q.get())
incrementCounters(*metrics_q.get())
for p in processes:
p.join()
base_fastcov = fastcov_jsons.pop()
for fj in fastcov_jsons:
combineReports(base_fastcov, fj)
return base_fastcov
def shouldFilterSource(source, gcov_filter_options):
"""Returns true if the provided source file should be filtered due to CLI options, otherwise returns false."""
# If explicit sources were passed, check for match
if gcov_filter_options["sources"]:
if source not in gcov_filter_options["sources"]:
logging.debug("Filtering coverage for '%s' due to option '--source-files'", source)
return True
# Check exclude filter
for ex in gcov_filter_options["exclude"]:
if ex in source:
logging.debug("Filtering coverage for '%s' due to option '--exclude %s'", source, ex)
return True
# Check include filter
if gcov_filter_options["include"]:
included = False
for inc in gcov_filter_options["include"]:
if inc in source:
included = True
break
if not included:
logging.debug("Filtering coverage for '%s' due to option '--include %s'", source, " ".join(gcov_filter_options["include"]))
return True
return False
def filterFastcov(fastcov_json, args):
logging.info("Performing filtering operations (if applicable)")
gcov_filter_options = getGcovFilterOptions(args)
for source in list(fastcov_json["sources"].keys()):
if shouldFilterSource(source, gcov_filter_options):
del fastcov_json["sources"][source]
def processGcov(cwd, gcov, files, gcov_filter_options):
# Add absolute path
gcov["file_abs"] = os.path.abspath(os.path.join(cwd, gcov["file"]))
if shouldFilterSource(gcov["file_abs"], gcov_filter_options):
return
files.append(gcov)
logging.debug("Accepted coverage for '%s'", gcov["file_abs"])
def processGcovs(cwd, gcov_files, gcov_filter_options):
files = []
for gcov in gcov_files:
processGcov(cwd, gcov, files, gcov_filter_options)
return files
def dumpBranchCoverageToLcovInfo(f, branches):
branch_miss = 0
branch_found = 0
brda = []
for line_num, branch_counts in branches.items():
for i, count in enumerate(branch_counts):
# Branch (<line number>, <block number>, <branch number>, <taken>)
brda.append((line_num, int(i/2), i, count))
branch_miss += int(count == 0)
branch_found += 1
for v in sorted(brda):
f.write("BRDA:{},{},{},{}\n".format(*v))
f.write("BRF:{}\n".format(branch_found)) # Branches Found
f.write("BRH:{}\n".format(branch_found - branch_miss)) # Branches Hit
def dumpToLcovInfo(fastcov_json, output):
with open(output, "w") as f:
sources = fastcov_json["sources"]
for sf in sorted(sources.keys()):
for tn in sorted(sources[sf].keys()):
data = sources[sf][tn]
f.write("TN:{}\n".format(tn)) #Test Name - used mainly in conjuction with genhtml --show-details
f.write("SF:{}\n".format(sf)) #Source File
fn_miss = 0
fn = []
fnda = []
for function, fdata in data["functions"].items():
fn.append((fdata["start_line"], function)) # Function Start Line
fnda.append((fdata["execution_count"], function)) # Function Hits
fn_miss += int(fdata["execution_count"] == 0)
# NOTE: lcov sorts FN, but not FNDA.
for v in sorted(fn):
f.write("FN:{},{}\n".format(*v))
for v in sorted(fnda):
f.write("FNDA:{},{}\n".format(*v))
f.write("FNF:{}\n".format(len(data["functions"]))) #Functions Found
f.write("FNH:{}\n".format((len(data["functions"]) - fn_miss))) #Functions Hit
if data["branches"]:
dumpBranchCoverageToLcovInfo(f, data["branches"])
line_miss = 0
da = []
for line_num, count in data["lines"].items():
da.append((line_num, count))
line_miss += int(count == 0)
for v in sorted(da):
f.write("DA:{},{}\n".format(*v)) # Line
f.write("LF:{}\n".format(len(data["lines"]))) #Lines Found
f.write("LH:{}\n".format((len(data["lines"]) - line_miss))) #Lines Hit
f.write("end_of_record\n")
def getSourceLines(source, fallback_encodings=[]):
"""Return a list of lines from the provided source, trying to decode with fallback encodings if the default fails."""
default_encoding = sys.getdefaultencoding()
for encoding in [default_encoding] + fallback_encodings:
try:
with open(source, encoding=encoding) as f:
return f.readlines()
except UnicodeDecodeError:
pass
logging.warning("Could not decode '{}' with {} or fallback encodings ({}); ignoring errors".format(source, default_encoding, ",".join(fallback_encodings)))
with open(source, errors="ignore") as f:
return f.readlines()
def exclProcessSource(fastcov_sources, source, exclude_branches_sw, include_branches_sw, fallback_encodings):
start_line = 0
end_line = 0
# Start enumeration at line 1 because the first line of the file is line 1 not 0
for i, line in enumerate(getSourceLines(source, fallback_encodings), 1):
# Cycle through test names (likely only 1)
for test_name in fastcov_sources[source]:
fastcov_data = fastcov_sources[source][test_name]
# Build line to function dict so can quickly delete by line number
line_to_func = {}
for f in fastcov_data["functions"].keys():
l = fastcov_data["functions"][f]["start_line"]
if l not in line_to_func:
line_to_func[l] = set()
line_to_func[l].add(f)
if i in fastcov_data["branches"]:
del_exclude_br = exclude_branches_sw and any(line.lstrip().startswith(e) for e in exclude_branches_sw)
del_include_br = include_branches_sw and all(not line.lstrip().startswith(e) for e in include_branches_sw)
if del_exclude_br or del_include_br:
del fastcov_data["branches"][i]
if "LCOV_EXCL" not in line:
continue
if "LCOV_EXCL_LINE" in line:
for key in ["lines", "branches"]:
if i in fastcov_data[key]:
del fastcov_data[key][i]
if i in line_to_func:
for key in line_to_func[i]:
if key in fastcov_data["functions"]:
del fastcov_data["functions"][key]
elif "LCOV_EXCL_START" in line:
start_line = i
elif "LCOV_EXCL_STOP" in line:
end_line = i
if not start_line:
end_line = 0
continue
for key in ["lines", "branches"]:
for line_num in list(fastcov_data[key].keys()):
if start_line <= line_num <= end_line:
del fastcov_data[key][line_num]
for line_num in range(start_line, end_line):
if line_num in line_to_func:
for key in line_to_func[line_num]:
if key in fastcov_data["functions"]:
del fastcov_data["functions"][key]
start_line = end_line = 0
elif "LCOV_EXCL_BR_LINE" in line:
if i in fastcov_data["branches"]:
del fastcov_data["branches"][i]
def exclMarkerWorker(fastcov_sources, chunk, exclude_branches_sw, include_branches_sw, fallback_encodings):
for source in chunk:
try:
exclProcessSource(fastcov_sources, source, exclude_branches_sw, include_branches_sw, fallback_encodings)
except FileNotFoundError:
logging.error("Could not find '%s' to scan for exclusion markers...", source)
setExitCode("excl_not_found") # Set exit code because of error
def scanExclusionMarkers(fastcov_json, jobs, exclude_branches_sw, include_branches_sw, min_chunk_size, fallback_encodings):
chunk_size = max(min_chunk_size, int(len(fastcov_json["sources"]) / jobs) + 1)
threads = []
for chunk in chunks(list(fastcov_json["sources"].keys()), chunk_size):
t = threading.Thread(target=exclMarkerWorker, args=(fastcov_json["sources"], chunk, exclude_branches_sw, include_branches_sw, fallback_encodings))
threads.append(t)
t.start()
logging.info("Spawned {} threads each scanning at most {} source files".format(len(threads), chunk_size))
for t in threads:
t.join()
def distillFunction(function_raw, functions):
function_name = function_raw["name"]
# NOTE: need to explicitly cast all counts coming from gcov to int - this is because gcov's json library
# will pass as scientific notation (i.e. 12+e45)
start_line = int(function_raw["start_line"])
execution_count = int(function_raw["execution_count"])
if function_name not in functions:
functions[function_name] = {
"start_line": start_line,
"execution_count": execution_count
}
else:
functions[function_name]["execution_count"] += execution_count
def emptyBranchSet(branch1, branch2):
return (branch1["count"] == 0 and branch2["count"] == 0)
def matchingBranchSet(branch1, branch2):
return (branch1["count"] == branch2["count"])
def filterExceptionalBranches(branches):
filtered_branches = []
exception_branch = False
for i in range(0, len(branches), 2):
if i+1 >= len(branches):
filtered_branches.append(branches[i])
break
# Filter exceptional branch noise
if branches[i+1]["throw"]:
exception_branch = True
continue
# Filter initializer list noise
if exception_branch and emptyBranchSet(branches[i], branches[i+1]) and len(filtered_branches) >= 2 and matchingBranchSet(filtered_branches[-1], filtered_branches[-2]):
return []
filtered_branches.append(branches[i])
filtered_branches.append(branches[i+1])
return filtered_branches
def distillLine(line_raw, lines, branches, include_exceptional_branches):
line_number = int(line_raw["line_number"])
count = int(line_raw["count"])
if line_number not in lines:
lines[line_number] = count
else:
lines[line_number] += count
# Filter out exceptional branches by default unless requested otherwise
if not include_exceptional_branches:
line_raw["branches"] = filterExceptionalBranches(line_raw["branches"])
# Increment all branch counts
for i, branch in enumerate(line_raw["branches"]):
if line_number not in branches:
branches[line_number] = []
blen = len(branches[line_number])
glen = len(line_raw["branches"])
if blen < glen:
branches[line_number] += [0] * (glen - blen)
branches[line_number][i] += int(branch["count"])
def distillSource(source_raw, sources, test_name, include_exceptional_branches):
source_name = source_raw["file_abs"]
if source_name not in sources:
sources[source_name] = {
test_name: {
"functions": {},
"branches": {},
"lines": {}
}
}
for function in source_raw["functions"]:
distillFunction(function, sources[source_name][test_name]["functions"])
for line in source_raw["lines"]:
distillLine(line, sources[source_name][test_name]["lines"], sources[source_name][test_name]["branches"], include_exceptional_branches)
def dumpToJson(intermediate, output):
with open(output, "w") as f:
json.dump(intermediate, f)
def getGcovFilterOptions(args):
return {
"sources": set([os.path.abspath(s) for s in args.sources]), #Make paths absolute, use set for fast lookups
"include": args.includepost,
"exclude": args.excludepost,
}
def addDicts(dict1, dict2):
"""Add dicts together by value. i.e. addDicts({"a":1,"b":0}, {"a":2}) == {"a":3,"b":0}."""
result = {k:v for k,v in dict1.items()}
for k,v in dict2.items():
if k in result:
result[k] += v
else:
result[k] = v
return result
def addLists(list1, list2):
"""Add lists together by value. i.e. addLists([1,1], [2,2]) == [3,3]."""
# Find big list and small list
blist, slist = list(list2), list(list1)
if len(list1) > len(list2):
blist, slist = slist, blist
# Overlay small list onto big list
for i, b in enumerate(slist):
blist[i] += b
return blist
def combineReports(base, overlay):
for source, scov in overlay["sources"].items():
# Combine Source Coverage
if source not in base["sources"]:
base["sources"][source] = scov
continue
for test_name, tcov in scov.items():
# Combine Source Test Name Coverage
if test_name not in base["sources"][source]:
base["sources"][source][test_name] = tcov
continue
# Drill down and create convenience variable
base_data = base["sources"][source][test_name]
# Combine Line Coverage
base_data["lines"] = addDicts(base_data["lines"], tcov["lines"])
# Combine Branch Coverage
for branch, cov in tcov["branches"].items():
if branch not in base_data["branches"]:
base_data["branches"][branch] = cov
else:
base_data["branches"][branch] = addLists(base_data["branches"][branch], cov)
# Combine Function Coverage
for function, cov in tcov["functions"].items():
if function not in base_data["functions"]:
base_data["functions"][function] = cov
else:
base_data["functions"][function]["execution_count"] += cov["execution_count"]
def parseInfo(path):
"""Parse an lcov .info file into fastcov json."""
fastcov_json = {
"sources": {}
}
with open(path) as f:
for line in f:
if line.startswith("TN:"):
current_test_name = line[3:].strip()
elif line.startswith("SF:"):
current_sf = line[3:].strip()
fastcov_json["sources"][current_sf] = {
current_test_name: {
"functions": {},
"branches": {},
"lines": {},
}
}
current_data = fastcov_json["sources"][current_sf][current_test_name]
elif line.startswith("FN:"):
line_num, function_name = line[3:].strip().split(",")
current_data["functions"][function_name] = {}
current_data["functions"][function_name]["start_line"] = int(line_num)
elif line.startswith("FNDA:"):
count, function_name = line[5:].strip().split(",")
current_data["functions"][function_name]["execution_count"] = int(count)
elif line.startswith("DA:"):
line_num, count = line[3:].strip().split(",")
current_data["lines"][line_num] = int(count)
elif line.startswith("BRDA:"):
branch_tokens = line[5:].strip().split(",")
line_num, count = branch_tokens[0], branch_tokens[-1]
if line_num not in current_data["branches"]:
current_data["branches"][line_num] = []
current_data["branches"][line_num].append(int(count))
return fastcov_json
def convertKeysToInt(report):
for source in report["sources"].keys():
for test_name in report["sources"][source].keys():
report_data = report["sources"][source][test_name]
report_data["lines"] = {int(k):v for k,v in report_data["lines"].items()}
report_data["branches"] = {int(k):v for k,v in report_data["branches"].items()}
def parseAndCombine(paths):
base_report = {}
for path in paths:
if path.endswith(".json"):
with open(path) as f:
report = json.load(f)
elif path.endswith(".info"):
report = parseInfo(path)
else:
logging.error("Currently only fastcov .json and lcov .info supported for combine operations, aborting due to %s...\n", path)
sys.exit(EXIT_CODES["unsupported_coverage_format"])
# In order for sorting to work later when we serialize,
# make sure integer keys are int
convertKeysToInt(report)
if not base_report:
base_report = report
logging.info("Setting {} as base report".format(path))
else:
combineReports(base_report, report)
logging.info("Adding {} to base report".format(path))
return base_report
def getCombineCoverage(args):
logging.info("Performing combine operation")
fastcov_json = parseAndCombine(args.combine)
filterFastcov(fastcov_json, args)
return fastcov_json
def getGcovCoverage(args):
# Need at least python 3.5 because of use of recursive glob
checkPythonVersion(sys.version_info[0:2])
# Need at least gcov 9.0.0 because that's when gcov JSON and stdout streaming was introduced
checkGcovVersion(getGcovVersion(args.gcov))
# Get list of gcda files to process
coverage_files = findCoverageFiles(args.directory, args.coverage_files, args.use_gcno)
# If gcda/gcno filtering is enabled, filter them out now
if args.excludepre:
coverage_files = getFilteredCoverageFiles(coverage_files, args.excludepre)
logging.info("Found {} coverage files after filtering".format(len(coverage_files)))
# We "zero" the "counters" by deleting all gcda files
if args.zerocounters:
removeFiles(coverage_files)
logging.info("Removed {} .gcda files".format(len(coverage_files)))
sys.exit()
# Fire up one gcov per cpu and start processing gcdas
gcov_filter_options = getGcovFilterOptions(args)
fastcov_json = processGcdas(args, coverage_files, gcov_filter_options)
# Summarize processing results
logging.info("Processed {} .gcov files ({} total, {} skipped)".format(GCOVS_TOTAL - GCOVS_SKIPPED, GCOVS_TOTAL, GCOVS_SKIPPED))
logging.debug("Final report will contain coverage for the following %d source files:\n %s", len(fastcov_json["sources"]), "\n ".join(fastcov_json["sources"]))
return fastcov_json
def dumpFile(fastcov_json, args):
if args.lcov:
dumpToLcovInfo(fastcov_json, args.output)
logging.info("Created lcov info file '{}'".format(args.output))
else:
dumpToJson(fastcov_json, args.output)
logging.info("Created fastcov json file '{}'".format(args.output))
def tupleToDotted(tup):
return ".".join(map(str, tup))
def parseArgs():
parser = argparse.ArgumentParser(description='A parallel gcov wrapper for fast coverage report generation')
parser.add_argument('-z', '--zerocounters', dest='zerocounters', action="store_true", help='Recursively delete all gcda files')
# Enable Branch Coverage
parser.add_argument('-b', '--branch-coverage', dest='branchcoverage', action="store_true", help='Include only the most useful branches in the coverage report.')
parser.add_argument('-B', '--exceptional-branch-coverage', dest='xbranchcoverage', action="store_true", help='Include ALL branches in the coverage report (including potentially noisy exceptional branches).')
parser.add_argument('-A', '--exclude-br-lines-starting-with', dest='exclude_branches_sw', nargs="+", metavar='', default=[], help='Exclude branches from lines starting with one of the provided strings (i.e. assert, return, etc.)')
parser.add_argument('-a', '--include-br-lines-starting-with', dest='include_branches_sw', nargs="+", metavar='', default=[], help='Include only branches from lines starting with one of the provided strings (i.e. if, else, while, etc.)')
parser.add_argument('-X', '--skip-exclusion-markers', dest='skip_exclusion_markers', action="store_true", help='Skip reading source files to search for lcov exclusion markers (such as "LCOV_EXCL_LINE")')
parser.add_argument('-x', '--scan-exclusion-markers', dest='scan_exclusion_markers', action="store_true", help='(Combine operations) Force reading source files to search for lcov exclusion markers (such as "LCOV_EXCL_LINE")')
# Capture untested file coverage as well via gcno
parser.add_argument('-n', '--process-gcno', dest='use_gcno', action="store_true", help='Process both gcno and gcda coverage files. This option is useful for capturing untested files in the coverage report.')
# Filtering Options
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.')
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.)')
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.)')
parser.add_argument('-f', '--gcda-files', dest='coverage_files', nargs="+", metavar='', default=[], help='Filter: Specify exactly which gcda or gcno files should be processed. Note that specifying gcno causes both gcno and gcda to be processed.')
parser.add_argument('-E', '--exclude-gcda', dest='excludepre', nargs="+", metavar='', default=[], help='Filter: Exclude gcda or gcno files from being processed via simple find matching (not regex)')
parser.add_argument('-g', '--gcov', dest='gcov', default='gcov', help='Which gcov binary to use')
parser.add_argument('-d', '--search-directory', dest='directory', default=".", help='Base directory to recursively search for gcda files (default: .)')
parser.add_argument('-c', '--compiler-directory', dest='cdirectory', default=".", help='Base directory compiler was invoked from (default: .) \
This needs to be set if invoking fastcov from somewhere other than the base compiler directory.')
parser.add_argument('-j', '--jobs', dest='jobs', type=int, default=multiprocessing.cpu_count(), help='Number of parallel gcov to spawn (default: {}).'.format(multiprocessing.cpu_count()))
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). \
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. Otherwise fastcov will spawn only 1 thread to process all of them.')
parser.add_argument('-F', '--fallback-encodings', dest='fallback_encodings', nargs="+", metavar='', default=[], help='List of encodings to try if opening a source file with the default fails (i.e. latin1, etc.). This option is not usually needed.')
parser.add_argument('-l', '--lcov', dest='lcov', action="store_true", help='Output in lcov info format instead of fastcov json')
parser.add_argument('-o', '--output', dest='output', default="coverage.json", help='Name of output file (default: coverage.json)')
parser.add_argument('-q', '--quiet', dest='quiet', action="store_true", help='Suppress output to stdout')
parser.add_argument('-t', '--test-name', dest='test_name', default="", help='Specify a test name for the coverage. Equivalent to lcov\'s `-t`.')
parser.add_argument('-C', '--add-tracefile', dest='combine', nargs="+", help='Combine multiple coverage files into one. If this flag is specified, fastcov will do a combine operation instead invoking gcov. Equivalent to lcov\'s `-a`.')
parser.add_argument('-V', '--verbose', dest="verbose", action="store_true", help="Print more detailed information about what fastcov is doing")
parser.add_argument('-v', '--version', action="version", version='%(prog)s {version}'.format(version=__version__), help="Show program's version number and exit")
args = parser.parse_args()
return args
def checkPythonVersion(version):
"""Exit if the provided python version is less than the supported version."""
if version < MINIMUM_PYTHON:
sys.stderr.write("Minimum python version {} required, found {}\n".format(tupleToDotted(MINIMUM_PYTHON), tupleToDotted(version)))
sys.exit(EXIT_CODES["python_version"])
def checkGcovVersion(version):
"""Exit if the provided gcov version is less than the supported version."""
if version < MINIMUM_GCOV:
sys.stderr.write("Minimum gcov version {} required, found {}\n".format(tupleToDotted(MINIMUM_GCOV), tupleToDotted(version)))
sys.exit(EXIT_CODES["gcov_version"])
def setupLogging(quiet, verbose):
handler = logging.StreamHandler()
handler.setFormatter(FastcovFormatter("[%(levelname)s]: %(message)s"))
root = logging.getLogger()
root.setLevel(logging.INFO)
root.addHandler(handler)
if not quiet:
logging.disable(level=logging.NOTSET) # Re-enable logging
if verbose:
root.setLevel(logging.DEBUG)
def main():
args = parseArgs()
# Setup logging
setupLogging(args.quiet, args.verbose)
# Get report from appropriate source
if args.combine:
fastcov_json = getCombineCoverage(args)
skip_exclusion_markers = not args.scan_exclusion_markers
else:
fastcov_json = getGcovCoverage(args)
skip_exclusion_markers = args.skip_exclusion_markers
# Scan for exclusion markers
if not skip_exclusion_markers:
scanExclusionMarkers(fastcov_json, args.jobs, args.exclude_branches_sw, args.include_branches_sw, args.minimum_chunk, args.fallback_encodings)
logging.info("Scanned {} source files for exclusion markers".format(len(fastcov_json["sources"])))
# Dump to desired file format
dumpFile(fastcov_json, args)
# If there was an error along the way, but we still completed the pipeline...
if EXIT_CODE:
sys.exit(EXIT_CODE)
# Set package version... it's way down here so that we can call tupleToDotted
__version__ = tupleToDotted(FASTCOV_VERSION)
if __name__ == '__main__':
main()