def test_download_version(tmp_path):
url_zst = "https://index.taskcluster.net/v1/task/project.relman.bugbug.data_commits.latest/artifacts/public/prova.json.zst"
url_version = "https://index.taskcluster.net/v1/task/project.relman.bugbug.data_commits.latest/artifacts/public/prova.json.version"
db_path = tmp_path / "prova.json"
db.register(db_path, url_zst, 1, support_files=[])
responses.add(responses.HEAD,
url_version,
status=200,
headers={"ETag": "123"})
responses.add(responses.GET, url_version, status=200, body="42")
db.download_version(db_path)
assert os.path.exists(db_path.with_suffix(db_path.suffix + ".version"))
assert os.path.exists(db_path.with_suffix(db_path.suffix +
".version.etag"))
assert not db.is_old_version(db_path)
db.register(db_path, url_zst, 43, support_files=[])
assert db.is_old_version(db_path)
def test_is_old_version(tmp_path):
url_zst = "https://index.taskcluster.net/v1/task/project.relman.bugbug.data_commits.latest/artifacts/public/prova.json.zst"
url_version = "https://index.taskcluster.net/v1/task/project.relman.bugbug.data_commits.latest/artifacts/public/prova.json.version"
db_path = tmp_path / "prova.json"
db.register(db_path, url_zst, 1, support_files=[])
assert os.path.exists(db_path.with_suffix(db_path.suffix + ".version"))
responses.add(responses.GET, url_version, status=404)
responses.add(responses.GET, url_version, status=424)
responses.add(responses.GET, url_version, status=200, body="1")
responses.add(responses.GET, url_version, status=200, body="42")
# When the remote version file doesn't exist, we consider the db as being old.
assert db.is_old_version(db_path)
# When the remote version file doesn't exist, we consider the db as being old.
assert db.is_old_version(db_path)
# When the remote version file exists and returns the same version as the current db, we consider the remote db as not being old.
assert not db.is_old_version(db_path)
# When the remote version file exists and returns a newer version than the current db, we consider the remote db as not being old.
assert not db.is_old_version(db_path)
db.register(db_path, url_zst, 43, support_files=[])
# When the remote version file exists and returns an older version than the current db, we consider the remote db as being old.
assert db.is_old_version(db_path)
def test_register_db(tmp_path):
db_path = tmp_path / "prova.json"
db.register(db_path, "https://alink", 1)
assert not db.is_old_version(db_path)
db.register(db_path, "https://alink", 2)
assert db.is_old_version(db_path)
def get_commits_to_ignore(self):
logger.info("Download previous commits to ignore...")
if db.is_old_version(
IGNORED_COMMITS_DB) or not db.exists(IGNORED_COMMITS_DB):
db.download(IGNORED_COMMITS_DB, force=True)
logger.info("Get previously classified commits...")
prev_commits_to_ignore = list(db.read(IGNORED_COMMITS_DB))
logger.info(
f"Already found {len(prev_commits_to_ignore)} commits to ignore..."
)
if len(prev_commits_to_ignore) > 0:
rev_start = "children({})".format(
prev_commits_to_ignore[-1]["rev"])
else:
rev_start = 0
# 2 days more than the end date, so we can know if a commit was backed-out.
# We have to do this as recent commits might be missing in the mercurial <-> git map,
# otherwise we could just use "tip".
end_date = datetime.now() - RELATIVE_END_DATE + relativedelta(2)
with hglib.open(self.mercurial_repo_dir) as hg:
revs = repository.get_revs(
hg, rev_start,
"pushdate('{}')".format(end_date.strftime("%Y-%m-%d")))
# Given that we use the pushdate, there might be cases where the starting commit is returned too (e.g. if we rerun the task on the same day).
if len(prev_commits_to_ignore) > 0:
found_prev = -1
for i, rev in enumerate(revs):
if rev.decode("utf-8") == prev_commits_to_ignore[-1]["rev"]:
found_prev = i
break
revs = revs[found_prev + 1:]
commits = repository.hg_log_multi(self.mercurial_repo_dir, revs)
repository.set_commits_to_ignore(self.mercurial_repo_dir, commits)
commits_to_ignore = []
for commit in commits:
if commit.ignored or commit.backedoutby:
commits_to_ignore.append({
"rev":
commit.node,
"type":
"backedout" if commit.backedoutby else "",
})
logger.info(f"{len(commits_to_ignore)} new commits to ignore...")
logger.info("...of which {} are backed-out".format(
sum(1 for commit in commits_to_ignore
if commit["type"] == "backedout")))
db.append(IGNORED_COMMITS_DB, commits_to_ignore)
zstd_compress(IGNORED_COMMITS_DB)
return prev_commits_to_ignore + commits_to_ignore
def update_commit_db(self):
repository.clone(self.repo_dir)
if db.is_old_version(repository.COMMITS_DB) or not db.exists(
repository.COMMITS_DB
):
db.download(repository.COMMITS_DB, force=True, support_files_too=True)
for commit in repository.get_commits():
pass
rev_start = "children({})".format(commit["node"])
repository.download_commits(self.repo_dir, rev_start)
def retrieve_commits(self):
shared_dir = self.repo_dir + "-shared"
cmd = hglib.util.cmdbuilder(
"robustcheckout",
"https://hg.mozilla.org/mozilla-central",
self.repo_dir,
purge=True,
sharebase=shared_dir,
networkattempts=7,
branch=b"tip",
)
cmd.insert(0, hglib.HGPATH)
proc = hglib.util.popen(cmd)
out, err = proc.communicate()
if proc.returncode:
raise hglib.error.CommandError(cmd, proc.returncode, out, err)
logger.info("mozilla-central cloned")
try:
os.remove(os.path.join(self.repo_dir, ".hg", "pushlog2.db"))
except FileNotFoundError:
logger.info("pushlog database doesn't exist")
# Pull and update, to make sure the pushlog is generated.
hg = hglib.open(self.repo_dir)
hg.pull(update=True)
hg.close()
db.download_version(repository.COMMITS_DB)
if not db.is_old_version(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, support_files_too=True)
for commit in repository.get_commits():
pass
rev_start = f"children({commit['node']})"
else:
rev_start = 0
repository.download_commits(self.repo_dir, rev_start)
logger.info("commit data extracted from repository")
self.compress_file("data/commits.json")
self.compress_file("data/commit_experiences.pickle")
def retrieve_push_data(self):
# Download previous cache.
cache_path = os.path.splitext(ADR_CACHE_DB)[0]
if not db.is_old_version(ADR_CACHE_DB):
db.download(ADR_CACHE_DB)
if os.path.exists(ADR_CACHE_DB):
with tarfile.open(ADR_CACHE_DB, "r") as tar:
tar.extractall()
assert os.path.exists(
cache_path), "Decompressed adr cache exists"
# Setup adr cache configuration.
os.makedirs(os.path.expanduser("~/.config/adr"), exist_ok=True)
with open(os.path.expanduser("~/.config/adr/config.toml"), "w") as f:
f.write(f"""[adr.cache.stores]
file = {{ driver = "file", path = "{os.path.abspath(cache_path)}" }}
""")
# We'll use the past TRAINING_MONTHS months only for training the model,
# but we use 3 months more than that to calculate the failure statistics.
subprocess.run(
[
"run-adr",
"ahal/ci-recipes",
"recipe",
"-o",
os.path.abspath("push_data.json"),
"-f",
"json",
"push_data",
"--",
"--from",
f"today-{TRAINING_MONTHS + 3}month",
"--to",
"today-2day",
"--branch",
"autoland",
],
check=True,
stdout=subprocess.
DEVNULL, # Redirect to /dev/null, as the logs are too big otherwise.
)
with tarfile.open(ADR_CACHE_DB, "w") as tar:
tar.add(cache_path)
zstd_compress(ADR_CACHE_DB)
zstd_compress("push_data.json")
def __init__(self):
self.model_class = RegressorModel
self.repo_dir = get_login_info()["repo_dir"]
if not os.path.exists(self.repo_dir):
cmd = hglib.util.cmdbuilder(
"robustcheckout",
"https://hg.mozilla.org/mozilla-central",
self.repo_dir,
purge=True,
sharebase=self.repo_dir + "-shared",
networkattempts=7,
branch=b"tip",
)
cmd.insert(0, hglib.HGPATH)
proc = hglib.util.popen(cmd)
out, err = proc.communicate()
if proc.returncode:
raise hglib.error.CommandError(cmd, proc.returncode, out, err)
logger.info("mozilla-central cloned")
# Remove pushlog DB to make sure it's regenerated.
try:
os.remove(os.path.join(self.repo_dir, ".hg", "pushlog2.db"))
except FileNotFoundError:
logger.info("pushlog database doesn't exist")
logger.info("Pulling and updating mozilla-central")
with hglib.open(self.repo_dir) as hg:
hg.pull(update=True)
logger.info("mozilla-central pulled and updated")
db.download_version(repository.COMMITS_DB)
if db.is_old_version(repository.COMMITS_DB) or not os.path.exists(
repository.COMMITS_DB):
db.download(repository.COMMITS_DB,
force=True,
support_files_too=True)
super().__init__()
self.model = self.model_class.load(self.retrieve_model())
def main():
args = parse_args(sys.argv[1:])
logger.info("Downloading bugs database...")
if db.is_old_version(bugzilla.BUGS_DB) or not db.exists(bugzilla.BUGS_DB):
db.download(bugzilla.BUGS_DB, force=True)
if args.algorithm == "neighbors_tfidf_bigrams":
model = similarity.model_name_to_class[args.algorithm](
vectorizer=TfidfVectorizer(ngram_range=(1, 2)),
cleanup_urls=args.cleanup_urls,
nltk_tokenizer=args.nltk_tokenizer,
)
else:
model = similarity.model_name_to_class[args.algorithm](
cleanup_urls=args.cleanup_urls, nltk_tokenizer=args.nltk_tokenizer)
model.save()
def retrieve_commits(self):
repository.clone(self.repo_dir)
if not db.is_old_version(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, support_files_too=True)
for commit in repository.get_commits():
pass
rev_start = f"children({commit['node']})"
else:
rev_start = 0
repository.download_commits(self.repo_dir, rev_start)
logger.info("commit data extracted from repository")
self.compress_file("data/commits.json")
self.compress_file("data/commit_experiences.pickle")
def retrieve_commits(self, limit):
repository.clone(self.repo_dir)
if not db.is_old_version(repository.COMMITS_DB) and not limit:
db.download(repository.COMMITS_DB, support_files_too=True)
for commit in repository.get_commits():
pass
rev_start = f"children({commit['node']})"
else:
if limit:
# Mercurial revset supports negative integers starting from tip
rev_start = -limit
else:
rev_start = 0
repository.download_commits(self.repo_dir, rev_start)
logger.info("commit data extracted from repository")
zstd_compress("data/commits.json")
zstd_compress("data/commit_experiences.pickle")
def retrieve_bugs(self):
bugzilla.set_token(get_secret("BUGZILLA_TOKEN"))
db.download_version(bugzilla.BUGS_DB)
if not db.is_old_version(bugzilla.BUGS_DB):
db.download(bugzilla.BUGS_DB)
# Get IDs of bugs changed since last run.
last_modified = db.last_modified(bugzilla.BUGS_DB)
logger.info(
f"Retrieving IDs of bugs modified since the last run on {last_modified}"
)
changed_ids = bugzilla.get_ids({
"f1": "delta_ts",
"o1": "greaterthaneq",
"v1": last_modified.date()
})
logger.info(f"Retrieved {len(changed_ids)} IDs.")
# Get IDs of bugs between (two years and six months ago) and (six months ago).
six_months_ago = datetime.utcnow() - relativedelta(months=6)
two_years_and_six_months_ago = six_months_ago - relativedelta(years=2)
logger.info(
f"Retrieving bug IDs from {two_years_and_six_months_ago} to {six_months_ago}"
)
timespan_ids = bugzilla.get_ids_between(two_years_and_six_months_ago,
six_months_ago)
logger.info(f"Retrieved {len(timespan_ids)} IDs.")
# Get IDs of labelled bugs.
labelled_bug_ids = labels.get_all_bug_ids()
logger.info(f"{len(labelled_bug_ids)} labelled bugs to download.")
all_ids = set(timespan_ids + labelled_bug_ids)
# We have to redownload bugs that were changed since the last download.
# We can remove from the DB the bugs that are outside of the considered timespan and are not labelled.
bugzilla.delete_bugs(
lambda bug: bug["id"] in changed_ids or bug["id"] not in all_ids)
bugzilla.download_bugs(timespan_ids + labelled_bug_ids)
# Try to re-download inconsistent bugs, up to three times.
inconsistent_bugs = bugzilla.get_bugs()
for i in range(3):
# We look for inconsistencies in all bugs first, then, on following passes,
# we only look for inconsistencies in bugs that were found to be inconsistent in the first pass
inconsistent_bugs = bug_snapshot.get_inconsistencies(
inconsistent_bugs)
inconsistent_bug_ids = set(bug["id"] for bug in inconsistent_bugs)
if len(inconsistent_bug_ids) == 0:
break
logger.info(
f"Re-downloading {len(inconsistent_bug_ids)} bugs, as they were inconsistent"
)
bugzilla.delete_bugs(lambda bug: bug["id"] in inconsistent_bug_ids)
bugzilla.download_bugs(inconsistent_bug_ids)
self.compress_file("data/bugs.json")
def find_bug_introducing_commits(self, bug_fixing_commits,
commits_to_ignore, tokenized):
if tokenized:
db_path = TOKENIZED_BUG_INTRODUCING_COMMITS_DB
repo_dir = self.tokenized_git_repo_dir
else:
db_path = BUG_INTRODUCING_COMMITS_DB
repo_dir = self.git_repo_dir
def git_to_mercurial(rev):
if tokenized:
return self.tokenized_git_to_mercurial[rev]
else:
return vcs_map.git_to_mercurial(rev)
def mercurial_to_git(rev):
if tokenized:
return self.mercurial_to_tokenized_git[rev]
else:
return vcs_map.mercurial_to_git(rev)
logger.info("Download previously found bug-introducing commits...")
if db.is_old_version(db_path) or not db.exists(db_path):
db.download(db_path, force=True)
logger.info("Get previously found bug-introducing commits...")
prev_bug_introducing_commits = list(db.read(db_path))
prev_bug_introducing_commits_nodes = set(
bug_introducing_commit["bug_fixing_rev"]
for bug_introducing_commit in prev_bug_introducing_commits)
logger.info(
f"Already classified {len(prev_bug_introducing_commits)} commits..."
)
hashes_to_ignore = set(commit["rev"] for commit in commits_to_ignore)
with open("git_hashes_to_ignore", "w") as f:
f.writelines("{}\n".format(mercurial_to_git(commit["rev"]))
for commit in commits_to_ignore if not tokenized
or commit["rev"] in self.mercurial_to_tokenized_git)
logger.info(f"{len(bug_fixing_commits)} commits to analyze")
# Skip already found bug-introducing commits.
bug_fixing_commits = [
bug_fixing_commit for bug_fixing_commit in bug_fixing_commits if
bug_fixing_commit["rev"] not in prev_bug_introducing_commits_nodes
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping already analyzed ones"
)
bug_fixing_commits = [
bug_fixing_commit for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["rev"] not in hashes_to_ignore
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping the ones in the ignore list"
)
if tokenized:
bug_fixing_commits = [
bug_fixing_commit for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["rev"] in self.mercurial_to_tokenized_git
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping the ones with no git hash"
)
def _init(git_repo_dir):
thread_local.git = GitRepository(git_repo_dir)
def find_bic(bug_fixing_commit):
logger.info("Analyzing {}...".format(bug_fixing_commit["rev"]))
git_fix_revision = mercurial_to_git(bug_fixing_commit["rev"])
commit = thread_local.git.get_commit(git_fix_revision)
# Skip huge changes, we'll likely be wrong with them.
if len(commit.modifications) > MAX_MODIFICATION_NUMBER:
logger.info("Skipping {} as it is too big".format(
bug_fixing_commit["rev"]))
return None
bug_introducing_modifications = thread_local.git.get_commits_last_modified_lines(
commit,
hashes_to_ignore_path=os.path.realpath("git_hashes_to_ignore"))
logger.info("Found {} for {}".format(bug_introducing_modifications,
bug_fixing_commit["rev"]))
bug_introducing_commits = []
for bug_introducing_hashes in bug_introducing_modifications.values(
):
for bug_introducing_hash in bug_introducing_hashes:
try:
bug_introducing_commits.append({
"bug_fixing_rev":
bug_fixing_commit["rev"],
"bug_introducing_rev":
git_to_mercurial(bug_introducing_hash),
})
except Exception as e:
# Skip commits that are in git but not in mercurial, as they are too old (older than "Free the lizard").
if not str(e).startswith(
"Missing git commit in the VCS map"):
raise
# Add an empty result, just so that we don't reanalyze this again.
if len(bug_introducing_commits) == 0:
bug_introducing_commits.append({
"bug_fixing_rev":
bug_fixing_commit["rev"],
"bug_introducing_rev":
"",
})
return bug_introducing_commits
with concurrent.futures.ThreadPoolExecutor(initializer=_init,
initargs=(repo_dir, ),
max_workers=os.cpu_count() +
1) as executor:
def results():
num_analyzed = 0
bug_fixing_commits_queue = bug_fixing_commits.copy()
# Analyze up to 500 commits at a time, to avoid the task running out of time.
while len(
bug_fixing_commits_queue) != 0 and num_analyzed != 500:
bug_introducing_commit_futures = []
for _ in range(
min(500 - num_analyzed, len(bug_fixing_commits))):
bug_introducing_commit_futures.append(
executor.submit(find_bic,
bug_fixing_commits.pop()))
logger.info(
f"Analyzing a chunk of {len(bug_introducing_commit_futures)} commits"
)
for future in tqdm(
concurrent.futures.as_completed(
bug_introducing_commit_futures),
total=len(bug_introducing_commit_futures),
):
result = future.result()
if result is not None:
num_analyzed += 1
yield from result
with open("done", "w") as f:
f.write(
str(1 if len(bug_fixing_commits_queue) == 0 else 0))
db.append(db_path, results())
zstd_compress(db_path)
def generate_test_scheduling_history(self):
if not os.path.exists("push_data.json"):
download_check_etag(PUSH_DATA_URL, "push_data.json.zst")
zstd_decompress("push_data.json")
assert os.path.exists(
"push_data.json"), "Decompressed push data file exists"
# Get the commits DB.
if db.is_old_version(
repository.COMMITS_DB) or not db.exists(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, force=True)
HISTORY_DATE_START = datetime.now() - relativedelta(
months=TRAINING_MONTHS)
HISTORICAL_TIMESPAN = 56
if not db.is_old_version(test_scheduling.TEST_SCHEDULING_DB):
db.download(test_scheduling.TEST_SCHEDULING_DB,
support_files_too=True)
for test_data in test_scheduling.get_test_scheduling_history():
pass
last_node = test_data["revs"][0]
else:
last_node = None
past_failures = shelve.Shelf(
LMDBDict("data/past_failures.lmdb"),
protocol=pickle.HIGHEST_PROTOCOL,
writeback=True,
)
push_num = past_failures[
"push_num"] if "push_num" in past_failures else 0
def get_and_update_past_failures(type_, task, items, push_num,
is_regression):
values_total = []
values_prev_7 = []
values_prev_14 = []
values_prev_28 = []
values_prev_56 = []
key = f"{type_}${task}$"
for item in items:
full_key = key + item
if full_key not in past_failures:
cur = past_failures[full_key] = ExpQueue(
push_num, HISTORICAL_TIMESPAN + 1, 0)
else:
cur = past_failures[full_key]
value = cur[push_num]
values_total.append(value)
values_prev_7.append(value - cur[push_num - 7])
values_prev_14.append(value - cur[push_num - 14])
values_prev_28.append(value - cur[push_num - 28])
values_prev_56.append(value - cur[push_num - 56])
if is_regression:
cur[push_num] = value + 1
return (
sum(values_total),
sum(values_prev_7),
sum(values_prev_14),
sum(values_prev_28),
sum(values_prev_56),
)
def generate_data():
nonlocal push_num
saved_nodes = set()
skipped_no_commits = 0
skipped_too_big_commits = 0
skipped_no_tasks = 0
# We can start once we get to the last revision we added in the previous run.
can_start = True if last_node is None else False
commit_map = {}
for commit_data in tqdm(repository.get_commits()):
if not can_start:
if last_node == commit_data["node"]:
can_start = True
continue
commit_map[commit_data["node"]] = commit_data
with open("push_data.json", "r") as f:
push_data = json.load(f)[1:]
logger.info(f"push data nodes: {len(push_data)}")
# In the last 28 pushes, we definitely run all possible tasks.
all_tasks_set = set(
sum((push_tasks for _, push_tasks, _, _ in push_data[-28:]),
[]))
# Filter tasks we don't need.
all_tasks = filter_tasks(list(all_tasks_set), all_tasks_set)
all_tasks_set = set(all_tasks)
logger.info(
f"{len(all_tasks_set)} tasks run in the last 28 pushes")
# We can start once we get to the last revision we added in the previous run.
can_start = True if last_node is None else False
for i in tqdm(range(len(push_data))):
(
revisions,
push_tasks,
possible_regressions,
likely_regressions,
) = push_data.pop(0)
if not can_start:
if last_node == revisions[0]:
can_start = True
continue
push_num += 1
# XXX: Some commits are skipped in the repository mining, e.g. merges and backouts. Maybe we should not skip them.
commits = tuple(
commit_map.pop(revision) for revision in revisions
if revision in commit_map)
if len(commits) == 0:
skipped_no_commits += 1
continue
merged_commits = commit_features.merge_commits(commits)
# XXX: For now, skip commits which are too large.
# In the future we can either:
# - Improve shelve perf and go back to consider all files;
# - Consider only files which appear with a given frequency, like the "files" feature in commit_features;
# - Keep a limit of number of files.
if len(merged_commits["files"]) > 20:
skipped_too_big_commits += 1
continue
# If we considered all_tasks, we'd generate a huge amount of data.
# So we consider only the tasks which run in this push, and the possible and likely regressions
# from this push.
tasks_to_consider = list(
set(push_tasks + possible_regressions +
likely_regressions))
tasks_to_consider = filter_tasks(tasks_to_consider,
all_tasks_set)
if len(tasks_to_consider) == 0:
skipped_no_tasks += 1
continue
# Sync DB every 250 pushes, so we cleanup the shelve cache (we'd run OOM otherwise!).
if i % 250 == 0:
past_failures.sync()
pushdate = dateutil.parser.parse(merged_commits["pushdate"])
for task in tasks_to_consider:
is_regression = (task in possible_regressions
or task in likely_regressions)
(
total_failures,
past_7_pushes_failures,
past_14_pushes_failures,
past_28_pushes_failures,
past_56_pushes_failures,
) = get_and_update_past_failures("all", task, ["all"],
push_num, is_regression)
(
total_types_failures,
past_7_pushes_types_failures,
past_14_pushes_types_failures,
past_28_pushes_types_failures,
past_56_pushes_types_failures,
) = get_and_update_past_failures("type", task,
merged_commits["types"],
push_num, is_regression)
(
total_files_failures,
past_7_pushes_files_failures,
past_14_pushes_files_failures,
past_28_pushes_files_failures,
past_56_pushes_files_failures,
) = get_and_update_past_failures("file", task,
merged_commits["files"],
push_num, is_regression)
(
total_directories_failures,
past_7_pushes_directories_failures,
past_14_pushes_directories_failures,
past_28_pushes_directories_failures,
past_56_pushes_directories_failures,
) = get_and_update_past_failures(
"directory",
task,
merged_commits["directories"],
push_num,
is_regression,
)
(
total_components_failures,
past_7_pushes_components_failures,
past_14_pushes_components_failures,
past_28_pushes_components_failures,
past_56_pushes_components_failures,
) = get_and_update_past_failures(
"component",
task,
merged_commits["components"],
push_num,
is_regression,
)
if pushdate > HISTORY_DATE_START:
saved_nodes.add(i)
yield {
"revs": revisions,
"name": task,
"failures": total_failures,
"failures_past_7_pushes": past_7_pushes_failures,
"failures_past_14_pushes": past_14_pushes_failures,
"failures_past_28_pushes": past_28_pushes_failures,
"failures_past_56_pushes": past_56_pushes_failures,
"failures_in_types": total_types_failures,
"failures_past_7_pushes_in_types":
past_7_pushes_types_failures,
"failures_past_14_pushes_in_types":
past_14_pushes_types_failures,
"failures_past_28_pushes_in_types":
past_28_pushes_types_failures,
"failures_past_56_pushes_in_types":
past_56_pushes_types_failures,
"failures_in_files": total_files_failures,
"failures_past_7_pushes_in_files":
past_7_pushes_files_failures,
"failures_past_14_pushes_in_files":
past_14_pushes_files_failures,
"failures_past_28_pushes_in_files":
past_28_pushes_files_failures,
"failures_past_56_pushes_in_files":
past_56_pushes_files_failures,
"failures_in_directories":
total_directories_failures,
"failures_past_7_pushes_in_directories":
past_7_pushes_directories_failures,
"failures_past_14_pushes_in_directories":
past_14_pushes_directories_failures,
"failures_past_28_pushes_in_directories":
past_28_pushes_directories_failures,
"failures_past_56_pushes_in_directories":
past_56_pushes_directories_failures,
"failures_in_components":
total_components_failures,
"failures_past_7_pushes_in_components":
past_7_pushes_components_failures,
"failures_past_14_pushes_in_components":
past_14_pushes_components_failures,
"failures_past_28_pushes_in_components":
past_28_pushes_components_failures,
"failures_past_56_pushes_in_components":
past_56_pushes_components_failures,
"is_possible_regression": task
in possible_regressions,
"is_likely_regression": task in likely_regressions,
}
logger.info(f"saved push data nodes: {len(saved_nodes)}")
logger.info(f"skipped {skipped_no_commits} (no commits in our DB)")
logger.info(f"skipped {skipped_too_big_commits} (too big commits)")
logger.info(f"skipped {skipped_no_tasks} (no interesting tasks)")
db.append(test_scheduling.TEST_SCHEDULING_DB, generate_data())
zstd_compress(test_scheduling.TEST_SCHEDULING_DB)
past_failures["push_num"] = push_num
past_failures.close()
with open_tar_zst("data/past_failures.lmdb.tar.zst") as tar:
tar.add("data/past_failures.lmdb")
def retrieve_test_scheduling_history(self):
os.makedirs("data", exist_ok=True)
# Download previous cache.
cache_path = os.path.abspath("data/adr_cache")
if not os.path.exists(cache_path):
try:
download_check_etag(URL, "adr_cache.tar.xz")
with tarfile.open("adr_cache.tar.xz", "r:xz") as tar:
tar.extractall()
assert os.path.exists(
"data/adr_cache"), "Decompressed adr cache exists"
except requests.exceptions.HTTPError:
logger.info("The adr cache is not available yet")
# Setup adr cache configuration.
os.makedirs(os.path.expanduser("~/.config/adr"), exist_ok=True)
with open(os.path.expanduser("~/.config/adr/config.toml"), "w") as f:
f.write(f"""[adr.cache.stores]
file = {{ driver = "file", path = "{cache_path}" }}
""")
# Get the commits DB.
if db.is_old_version(
repository.COMMITS_DB) or not db.exists(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, force=True)
# We'll use the past TRAINING_MONTHS months only for training the model,
# but we use 3 months more than that to calculate the failure statistics.
subprocess.run(
[
"run-adr",
"ahal/ci-recipes",
"recipe",
"-o",
os.path.abspath("push_data.json"),
"-f",
"json",
"push_data",
"--",
"--from",
f"today-{TRAINING_MONTHS + 3}month",
"--to",
"today-2day",
"--branch",
"autoland",
],
check=True,
stdout=subprocess.
DEVNULL, # Redirect to /dev/null, as the logs are too big otherwise.
)
HISTORY_DATE_START = datetime.now() - relativedelta(
months=TRAINING_MONTHS)
with open("push_data.json", "r") as f:
data = json.load(f)
push_data = {}
for row in data[1:]:
# Revision -> (all tasks, possible regressions, likely regressions)
push_data[row[0]] = (row[1], row[2], row[3])
HISTORICAL_TIMESPAN = 56
past_failures = {}
def get_past_failures(task, push_num):
if task not in past_failures:
past_failures[task] = repository.exp_queue(
push_num, HISTORICAL_TIMESPAN + 1, 0)
return past_failures[task][push_num]
def generate_data():
commits_with_data = set()
saved_nodes = set()
push_num = 0
for commit_data in tqdm(repository.get_commits()):
node = commit_data["node"]
if node not in push_data:
continue
commits_with_data.add(node)
commit_push_data = push_data[node]
for task in commit_push_data[0]:
if not any(task.startswith(j) for j in JOBS_TO_CONSIDER):
continue
total_failures = get_past_failures(task, push_num)
past_7_pushes_failures = total_failures - get_past_failures(
task, push_num - 7)
past_14_pushes_failures = total_failures - get_past_failures(
task, push_num - 14)
past_28_pushes_failures = total_failures - get_past_failures(
task, push_num - 28)
past_56_pushes_failures = total_failures - get_past_failures(
task, push_num - 56)
pushdate = dateutil.parser.parse(commit_data["pushdate"])
if pushdate > HISTORY_DATE_START:
saved_nodes.add(node)
yield {
"rev": node,
"name": task,
"failures": total_failures,
"failures_past_7_pushes": past_7_pushes_failures,
"failures_past_14_pushes": past_14_pushes_failures,
"failures_past_28_pushes": past_28_pushes_failures,
"failures_past_56_pushes": past_56_pushes_failures,
"is_possible_regression": task
in commit_push_data[1],
"is_likely_regression": task
in commit_push_data[2],
}
if task in commit_push_data[1] or task in commit_push_data[
2]:
past_failures[task][push_num] = total_failures + 1
push_num += 1
logger.info(f"push data nodes: {len(push_data)}")
logger.info(
f"commits linked to push data: {len(commits_with_data)}")
logger.info(f"saved push data nodes: {len(saved_nodes)}")
db.write(test_scheduling.TEST_SCHEDULING_DB, generate_data())
zstd_compress(test_scheduling.TEST_SCHEDULING_DB)
with tarfile.open("data/adr_cache.tar.xz", "w:xz") as tar:
tar.add("data/adr_cache")
def find_bug_fixing_commits(self):
logger.info("Downloading commits database...")
if db.is_old_version(
repository.COMMITS_DB) or not db.exists(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, force=True)
logger.info("Downloading bugs database...")
if db.is_old_version(
bugzilla.BUGS_DB) or not db.exists(bugzilla.BUGS_DB):
db.download(bugzilla.BUGS_DB, force=True)
logger.info("Download previous classifications...")
if db.is_old_version(
BUG_FIXING_COMMITS_DB) or not db.exists(BUG_FIXING_COMMITS_DB):
db.download(BUG_FIXING_COMMITS_DB, force=True)
logger.info("Get previously classified commits...")
prev_bug_fixing_commits = list(db.read(BUG_FIXING_COMMITS_DB))
prev_bug_fixing_commits_nodes = set(
bug_fixing_commit["rev"]
for bug_fixing_commit in prev_bug_fixing_commits)
logger.info(
f"Already classified {len(prev_bug_fixing_commits)} commits...")
# TODO: Switch to the pure Defect model, as it's better in this case.
logger.info("Downloading defect/enhancement/task model...")
download_model("defectenhancementtask")
defect_model = DefectEnhancementTaskModel.load(
"defectenhancementtaskmodel")
logger.info("Downloading regression model...")
download_model("regression")
regression_model = RegressionModel.load("regressionmodel")
start_date = datetime.now() - RELATIVE_START_DATE
end_date = datetime.now() - RELATIVE_END_DATE
logger.info(
f"Gathering bug IDs associated to commits (since {start_date} and up to {end_date})..."
)
commit_map = defaultdict(list)
for commit in repository.get_commits():
if commit["node"] in prev_bug_fixing_commits_nodes:
continue
commit_date = dateutil.parser.parse(commit["pushdate"])
if commit_date < start_date or commit_date > end_date:
continue
commit_map[commit["bug_id"]].append(commit["node"])
logger.info(
f"{sum(len(commit_list) for commit_list in commit_map.values())} commits found, {len(commit_map)} bugs linked to commits"
)
assert len(commit_map) > 0
def get_relevant_bugs():
return (bug for bug in bugzilla.get_bugs()
if bug["id"] in commit_map)
bug_count = sum(1 for bug in get_relevant_bugs())
logger.info(
f"{bug_count} bugs in total, {len(commit_map) - bug_count} bugs linked to commits missing"
)
known_defect_labels = defect_model.get_labels()
known_regression_labels = regression_model.get_labels()
bug_fixing_commits = []
def append_bug_fixing_commits(bug_id, type_):
for commit in commit_map[bug_id]:
bug_fixing_commits.append({"rev": commit, "type": type_})
for bug in tqdm(get_relevant_bugs(), total=bug_count):
# Ignore bugs which are not linked to the commits we care about.
if bug["id"] not in commit_map:
continue
# If we know the label already, we don't need to apply the model.
if (bug["id"] in known_regression_labels
and known_regression_labels[bug["id"]] == 1):
append_bug_fixing_commits(bug["id"], "r")
continue
if bug["id"] in known_defect_labels:
if known_defect_labels[bug["id"]] == "defect":
append_bug_fixing_commits(bug["id"], "d")
else:
append_bug_fixing_commits(bug["id"], "e")
continue
if defect_model.classify(bug)[0] == "defect":
if regression_model.classify(bug)[0] == 1:
append_bug_fixing_commits(bug["id"], "r")
else:
append_bug_fixing_commits(bug["id"], "d")
else:
append_bug_fixing_commits(bug["id"], "e")
db.append(BUG_FIXING_COMMITS_DB, bug_fixing_commits)
zstd_compress(BUG_FIXING_COMMITS_DB)
bug_fixing_commits = prev_bug_fixing_commits + bug_fixing_commits
return [
bug_fixing_commit for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["type"] in ["r", "d"]
]
def retrieve_bugs(self, limit=None):
bugzilla.set_token(get_secret("BUGZILLA_TOKEN"))
if not db.is_old_version(bugzilla.BUGS_DB):
db.download(bugzilla.BUGS_DB)
# Get IDs of bugs changed since last run.
last_modified = db.last_modified(bugzilla.BUGS_DB)
logger.info(
f"Retrieving IDs of bugs modified since the last run on {last_modified}"
)
changed_ids = bugzilla.get_ids({
"f1": "delta_ts",
"o1": "greaterthaneq",
"v1": last_modified.date()
})
logger.info(f"Retrieved {len(changed_ids)} IDs.")
# Get IDs of bugs between (two years and six months ago) and (six months ago).
six_months_ago = datetime.utcnow() - relativedelta(months=6)
two_years_and_six_months_ago = six_months_ago - relativedelta(years=2)
logger.info(
f"Retrieving bug IDs from {two_years_and_six_months_ago} to {six_months_ago}"
)
timespan_ids = bugzilla.get_ids_between(two_years_and_six_months_ago,
six_months_ago)
if limit:
timespan_ids = timespan_ids[:limit]
logger.info(f"Retrieved {len(timespan_ids)} IDs.")
# Get IDs of labelled bugs.
labelled_bug_ids = labels.get_all_bug_ids()
if limit:
labelled_bug_ids = labelled_bug_ids[:limit]
logger.info(f"{len(labelled_bug_ids)} labelled bugs to download.")
# Get the commits DB, as we need it to get the bug IDs linked to recent commits.
if db.is_old_version(
repository.COMMITS_DB) or not db.exists(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, force=True)
# Get IDs of bugs linked to commits (used for some commit-based models, e.g. backout and regressor).
start_date = datetime.now() - relativedelta(years=2, months=6)
commit_bug_ids = [
commit["bug_id"] for commit in repository.get_commits()
if commit["bug_id"]
and dateutil.parser.parse(commit["pushdate"]) >= start_date
]
if limit:
commit_bug_ids = commit_bug_ids[-limit:]
logger.info(
f"{len(commit_bug_ids)} bugs linked to commits to download.")
# Get IDs of bugs which caused regressions fixed by commits (useful for the regressor model).
regressed_by_bug_ids = sum(
[
bug["regressed_by"]
for bug in bugzilla.get_bugs() if bug["id"] in commit_bug_ids
],
[],
)
logger.info(
f"{len(regressed_by_bug_ids)} bugs which caused regressions fixed by commits."
)
all_ids = (timespan_ids + labelled_bug_ids + commit_bug_ids +
regressed_by_bug_ids)
all_ids = timespan_ids + labelled_bug_ids + commit_bug_ids
all_ids_set = set(all_ids)
# We have to redownload bugs that were changed since the last download.
# We can remove from the DB the bugs that are outside of the considered timespan and are not labelled.
bugzilla.delete_bugs(lambda bug: bug["id"] in changed_ids or bug["id"]
not in all_ids_set)
bugzilla.download_bugs(all_ids)
# Get regressed_by_bug_ids again (the set could have changed after downloading new bugs).
regressed_by_bug_ids = sum(
[
bug["regressed_by"]
for bug in bugzilla.get_bugs() if bug["id"] in commit_bug_ids
],
[],
)
logger.info(
f"{len(regressed_by_bug_ids)} bugs which caused regressions fixed by commits."
)
bugzilla.download_bugs(regressed_by_bug_ids)
# Try to re-download inconsistent bugs, up to three times.
inconsistent_bugs = bugzilla.get_bugs()
for i in range(3):
# We look for inconsistencies in all bugs first, then, on following passes,
# we only look for inconsistencies in bugs that were found to be inconsistent in the first pass
inconsistent_bugs = bug_snapshot.get_inconsistencies(
inconsistent_bugs)
inconsistent_bug_ids = set(bug["id"] for bug in inconsistent_bugs)
if len(inconsistent_bug_ids) == 0:
break
logger.info(
f"Re-downloading {len(inconsistent_bug_ids)} bugs, as they were inconsistent"
)
bugzilla.delete_bugs(lambda bug: bug["id"] in inconsistent_bug_ids)
bugzilla.download_bugs(inconsistent_bug_ids)
zstd_compress("data/bugs.json")
def find_bug_introducing_commits(
self, bug_fixing_commits, commits_to_ignore, tokenized
):
if tokenized:
db_path = TOKENIZED_BUG_INTRODUCING_COMMITS_DB
repo_dir = self.tokenized_git_repo_dir
else:
db_path = BUG_INTRODUCING_COMMITS_DB
repo_dir = self.git_repo_dir
def git_to_mercurial(rev):
if tokenized:
return self.tokenized_git_to_mercurial[rev]
else:
return vcs_map.git_to_mercurial(rev)
def mercurial_to_git(rev):
if tokenized:
return self.mercurial_to_tokenized_git[rev]
else:
return vcs_map.mercurial_to_git(rev)
logger.info("Download previously found bug-introducing commits...")
if db.is_old_version(db_path) or not db.exists(db_path):
db.download(db_path, force=True)
logger.info("Get previously found bug-introducing commits...")
prev_bug_introducing_commits = list(db.read(db_path))
prev_bug_introducing_commits_nodes = set(
bug_introducing_commit["bug_fixing_rev"]
for bug_introducing_commit in prev_bug_introducing_commits
)
logger.info(
f"Already classified {len(prev_bug_introducing_commits)} commits..."
)
hashes_to_ignore = set(commit["rev"] for commit in commits_to_ignore)
with open("git_hashes_to_ignore", "w") as f:
f.writelines(
"{}\n".format(mercurial_to_git(commit["rev"]))
for commit in commits_to_ignore
if not tokenized or commit["rev"] in self.mercurial_to_tokenized_git
)
logger.info(f"{len(bug_fixing_commits)} commits to analyze")
# Skip already found bug-introducing commits.
bug_fixing_commits = [
bug_fixing_commit
for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["rev"] not in prev_bug_introducing_commits_nodes
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping already analyzed ones"
)
bug_fixing_commits = [
bug_fixing_commit
for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["rev"] not in hashes_to_ignore
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping the ones in the ignore list"
)
if tokenized:
bug_fixing_commits = [
bug_fixing_commit
for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["rev"] in self.mercurial_to_tokenized_git
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping the ones with no git hash"
)
# Analyze up to 500 commits at a time, to avoid the task running out of time.
done = True
if len(bug_fixing_commits) > 500:
bug_fixing_commits = bug_fixing_commits[-500:]
done = False
with open("done", "w") as f:
f.write(str(1 if done else 0))
def _init(git_repo_dir):
global GIT_REPO
GIT_REPO = GitRepository(git_repo_dir)
def find_bic(bug_fixing_commit):
logger.info("Analyzing {}...".format(bug_fixing_commit["rev"]))
git_fix_revision = mercurial_to_git(bug_fixing_commit["rev"])
commit = GIT_REPO.get_commit(git_fix_revision)
# Skip huge changes, we'll likely be wrong with them.
if len(commit.modifications) > MAX_MODIFICATION_NUMBER:
return [None]
bug_introducing_modifications = GIT_REPO.get_commits_last_modified_lines(
commit, hashes_to_ignore_path=os.path.realpath("git_hashes_to_ignore")
)
logger.info(
"Found {} for {}".format(
bug_introducing_modifications, bug_fixing_commit["rev"]
)
)
bug_introducing_commits = []
for bug_introducing_hashes in bug_introducing_modifications.values():
for bug_introducing_hash in bug_introducing_hashes:
try:
bug_introducing_commits.append(
{
"bug_fixing_rev": bug_fixing_commit["rev"],
"bug_introducing_rev": git_to_mercurial(
bug_introducing_hash
),
}
)
except Exception as e:
# Skip commits that are in git but not in mercurial, as they are too old (older than "Free the lizard").
if not str(e).startswith("Missing git commit in the VCS map"):
raise
# Add an empty result, just so that we don't reanalyze this again.
if len(bug_introducing_commits) == 0:
bug_introducing_commits.append(
{
"bug_fixing_rev": bug_fixing_commit["rev"],
"bug_introducing_rev": "",
}
)
return bug_introducing_commits
with concurrent.futures.ThreadPoolExecutor(
initializer=_init, initargs=(repo_dir,), max_workers=os.cpu_count() + 1
) as executor:
bug_introducing_commits = executor.map(find_bic, bug_fixing_commits)
bug_introducing_commits = tqdm(
bug_introducing_commits, total=len(bug_fixing_commits)
)
bug_introducing_commits = list(
itertools.chain.from_iterable(bug_introducing_commits)
)
total_results_num = len(bug_introducing_commits)
bug_introducing_commits = list(filter(None, bug_introducing_commits))
logger.info(
f"Skipped {total_results_num - len(bug_introducing_commits)} commits as they were too big"
)
db.append(db_path, bug_introducing_commits)
compress_file(db_path)
def generate_test_scheduling_history(self):
if not os.path.exists("push_data.json"):
download_check_etag(PUSH_DATA_URL, "push_data.json.zst")
zstd_decompress("push_data.json")
assert os.path.exists(
"push_data.json"), "Decompressed push data file exists"
# Get the commits DB.
if db.is_old_version(
repository.COMMITS_DB) or not db.exists(repository.COMMITS_DB):
db.download(repository.COMMITS_DB, force=True)
HISTORY_DATE_START = datetime.now() - relativedelta(
months=TRAINING_MONTHS)
with open("push_data.json", "r") as f:
data = json.load(f)
push_data = {}
for row in data[1:]:
# Revision -> (all tasks, possible regressions, likely regressions)
push_data[row[0]] = (row[1], row[2], row[3])
logger.info(f"push data nodes: {len(push_data)}")
HISTORICAL_TIMESPAN = 56
if not db.is_old_version(test_scheduling.TEST_SCHEDULING_DB):
db.download(test_scheduling.TEST_SCHEDULING_DB,
support_files_too=True)
for test_data in test_scheduling.get_test_scheduling_history():
pass
last_node = test_data["rev"]
else:
last_node = None
past_failures = shelve.open(
"data/past_failures.shelve",
protocol=pickle.HIGHEST_PROTOCOL,
writeback=True,
)
push_num = past_failures[
"push_num"] if "push_num" in past_failures else 0
def get_and_update_past_failures(type_, task, items, push_num,
is_regression):
values_total = []
values_prev_7 = []
values_prev_14 = []
values_prev_28 = []
values_prev_56 = []
key = f"{type_}${task}$"
for item in items:
full_key = key + item
if full_key not in past_failures:
cur = past_failures[full_key] = ExpQueue(
push_num, HISTORICAL_TIMESPAN + 1, 0)
else:
cur = past_failures[full_key]
value = cur[push_num]
values_total.append(value)
values_prev_7.append(value - cur[push_num - 7])
values_prev_14.append(value - cur[push_num - 14])
values_prev_28.append(value - cur[push_num - 28])
values_prev_56.append(value - cur[push_num - 56])
if is_regression:
cur[push_num] = value + 1
return (
sum(values_total),
sum(values_prev_7),
sum(values_prev_14),
sum(values_prev_28),
sum(values_prev_56),
)
def generate_data():
nonlocal push_num
commits_with_data = set()
saved_nodes = set()
# We can start once we get to the last revision we added in the previous run.
can_start = True if last_node is None else False
for commit_data in tqdm(repository.get_commits()):
node = commit_data["node"]
# Sync DB every 1000 commits, so we cleanup the shelve cache (we'd run OOM otherwise!).
if len(commits_with_data) % 1000 == 0:
past_failures.sync()
if node == last_node:
can_start = True
continue
if not can_start:
continue
if node not in push_data:
continue
commits_with_data.add(node)
commit_push_data = push_data[node]
for task in commit_push_data[0]:
if not any(task.startswith(j) for j in JOBS_TO_CONSIDER):
continue
is_regression = (task in commit_push_data[1]
or task in commit_push_data[2])
(
total_failures,
past_7_pushes_failures,
past_14_pushes_failures,
past_28_pushes_failures,
past_56_pushes_failures,
) = get_and_update_past_failures("all", task, ["all"],
push_num, is_regression)
(
total_types_failures,
past_7_pushes_types_failures,
past_14_pushes_types_failures,
past_28_pushes_types_failures,
past_56_pushes_types_failures,
) = get_and_update_past_failures("type", task,
commit_data["types"],
push_num, is_regression)
(
total_files_failures,
past_7_pushes_files_failures,
past_14_pushes_files_failures,
past_28_pushes_files_failures,
past_56_pushes_files_failures,
) = get_and_update_past_failures("file", task,
commit_data["files"],
push_num, is_regression)
(
total_directories_failures,
past_7_pushes_directories_failures,
past_14_pushes_directories_failures,
past_28_pushes_directories_failures,
past_56_pushes_directories_failures,
) = get_and_update_past_failures(
"directory",
task,
commit_data["directories"],
push_num,
is_regression,
)
(
total_components_failures,
past_7_pushes_components_failures,
past_14_pushes_components_failures,
past_28_pushes_components_failures,
past_56_pushes_components_failures,
) = get_and_update_past_failures(
"component",
task,
commit_data["components"],
push_num,
is_regression,
)
pushdate = dateutil.parser.parse(commit_data["pushdate"])
if pushdate > HISTORY_DATE_START:
saved_nodes.add(node)
yield {
"rev": node,
"name": task,
"failures": total_failures,
"failures_past_7_pushes": past_7_pushes_failures,
"failures_past_14_pushes": past_14_pushes_failures,
"failures_past_28_pushes": past_28_pushes_failures,
"failures_past_56_pushes": past_56_pushes_failures,
"failures_in_types": total_types_failures,
"failures_past_7_pushes_in_types":
past_7_pushes_types_failures,
"failures_past_14_pushes_in_types":
past_14_pushes_types_failures,
"failures_past_28_pushes_in_types":
past_28_pushes_types_failures,
"failures_past_56_pushes_in_types":
past_56_pushes_types_failures,
"failures_in_files": total_files_failures,
"failures_past_7_pushes_in_files":
past_7_pushes_files_failures,
"failures_past_14_pushes_in_files":
past_14_pushes_files_failures,
"failures_past_28_pushes_in_files":
past_28_pushes_files_failures,
"failures_past_56_pushes_in_files":
past_56_pushes_files_failures,
"failures_in_directories":
total_directories_failures,
"failures_past_7_pushes_in_directories":
past_7_pushes_directories_failures,
"failures_past_14_pushes_in_directories":
past_14_pushes_directories_failures,
"failures_past_28_pushes_in_directories":
past_28_pushes_directories_failures,
"failures_past_56_pushes_in_directories":
past_56_pushes_directories_failures,
"failures_in_components":
total_components_failures,
"failures_past_7_pushes_in_components":
past_7_pushes_components_failures,
"failures_past_14_pushes_in_components":
past_14_pushes_components_failures,
"failures_past_28_pushes_in_components":
past_28_pushes_components_failures,
"failures_past_56_pushes_in_components":
past_56_pushes_components_failures,
"is_possible_regression": task
in commit_push_data[1],
"is_likely_regression": task
in commit_push_data[2],
}
# We no longer need the push data for this node, we can free the memory.
del push_data[node]
push_num += 1
logger.info(
f"commits linked to push data: {len(commits_with_data)}")
logger.info(f"saved push data nodes: {len(saved_nodes)}")
db.append(test_scheduling.TEST_SCHEDULING_DB, generate_data())
zstd_compress(test_scheduling.TEST_SCHEDULING_DB)
past_failures["push_num"] = push_num
past_failures.close()
zstd_compress("data/past_failures.shelve")
def generate_test_scheduling_history(self):
if not os.path.exists("push_data.json"):
download_check_etag(PUSH_DATA_URL, "push_data.json.zst")
zstd_decompress("push_data.json")
assert os.path.exists(
"push_data.json"
), "Decompressed push data file exists"
# Get the commits DB.
if db.is_old_version(repository.COMMITS_DB) or not db.exists(
repository.COMMITS_DB
):
db.download(repository.COMMITS_DB, force=True)
HISTORY_DATE_START = datetime.now() - relativedelta(months=TRAINING_MONTHS)
with open("push_data.json", "r") as f:
data = json.load(f)
push_data = {}
for row in data[1:]:
# Revision -> (all tasks, possible regressions, likely regressions)
push_data[row[0]] = (row[1], row[2], row[3])
HISTORICAL_TIMESPAN = 56
if not db.is_old_version(test_scheduling.TEST_SCHEDULING_DB):
db.download(test_scheduling.TEST_SCHEDULING_DB, support_files_too=True)
for test_data in test_scheduling.get_test_scheduling_history():
pass
last_node = test_data["rev"]
else:
last_node = None
try:
with open("data/past_failures.pickle", "rb") as f:
past_failures, push_num = pickle.load(f)
except FileNotFoundError:
past_failures = {}
push_num = 0
def get_and_update_past_failures(type_, task, items, push_num, is_regression):
if type_ not in past_failures:
past_failures[type_] = {}
if task not in past_failures[type_]:
past_failures[type_][task] = {}
values_total = []
values_prev_7 = []
values_prev_14 = []
values_prev_28 = []
values_prev_56 = []
for item in items:
if item not in past_failures[type_][task]:
past_failures[type_][task][item] = ExpQueue(
push_num, HISTORICAL_TIMESPAN + 1, 0
)
value = past_failures[type_][task][item][push_num]
values_total.append(value)
values_prev_7.append(
value - past_failures[type_][task][item][push_num - 7]
)
values_prev_14.append(
value - past_failures[type_][task][item][push_num - 14]
)
values_prev_28.append(
value - past_failures[type_][task][item][push_num - 28]
)
values_prev_56.append(
value - past_failures[type_][task][item][push_num - 56]
)
if is_regression:
past_failures[type_][task][item][push_num] = value + 1
return (
sum(values_total),
sum(values_prev_7),
sum(values_prev_14),
sum(values_prev_28),
sum(values_prev_56),
)
def generate_data():
nonlocal push_num
commits_with_data = set()
saved_nodes = set()
# We can start once we get to the last revision we added in the previous run.
can_start = True if last_node is None else False
for commit_data in tqdm(repository.get_commits()):
node = commit_data["node"]
if node == last_node:
can_start = True
continue
if not can_start:
continue
if node not in push_data:
continue
commits_with_data.add(node)
commit_push_data = push_data[node]
for task in commit_push_data[0]:
if not any(task.startswith(j) for j in JOBS_TO_CONSIDER):
continue
is_regression = (
task in commit_push_data[1] or task in commit_push_data[2]
)
total_failures, past_7_pushes_failures, past_14_pushes_failures, past_28_pushes_failures, past_56_pushes_failures = get_and_update_past_failures(
"all", task, ["all"], push_num, is_regression
)
total_types_failures, past_7_pushes_types_failures, past_14_pushes_types_failures, past_28_pushes_types_failures, past_56_pushes_types_failures = get_and_update_past_failures(
"type", task, commit_data["types"], push_num, is_regression
)
total_files_failures, past_7_pushes_files_failures, past_14_pushes_files_failures, past_28_pushes_files_failures, past_56_pushes_files_failures = get_and_update_past_failures(
"file", task, commit_data["files"], push_num, is_regression
)
total_directories_failures, past_7_pushes_directories_failures, past_14_pushes_directories_failures, past_28_pushes_directories_failures, past_56_pushes_directories_failures = get_and_update_past_failures(
"directory",
task,
commit_data["directories"],
push_num,
is_regression,
)
total_components_failures, past_7_pushes_components_failures, past_14_pushes_components_failures, past_28_pushes_components_failures, past_56_pushes_components_failures = get_and_update_past_failures(
"component",
task,
commit_data["components"],
push_num,
is_regression,
)
pushdate = dateutil.parser.parse(commit_data["pushdate"])
if pushdate > HISTORY_DATE_START:
saved_nodes.add(node)
yield {
"rev": node,
"name": task,
"failures": total_failures,
"failures_past_7_pushes": past_7_pushes_failures,
"failures_past_14_pushes": past_14_pushes_failures,
"failures_past_28_pushes": past_28_pushes_failures,
"failures_past_56_pushes": past_56_pushes_failures,
"failures_in_types": total_types_failures,
"failures_past_7_pushes_in_types": past_7_pushes_types_failures,
"failures_past_14_pushes_in_types": past_14_pushes_types_failures,
"failures_past_28_pushes_in_types": past_28_pushes_types_failures,
"failures_past_56_pushes_in_types": past_56_pushes_types_failures,
"failures_in_files": total_files_failures,
"failures_past_7_pushes_in_files": past_7_pushes_files_failures,
"failures_past_14_pushes_in_files": past_14_pushes_files_failures,
"failures_past_28_pushes_in_files": past_28_pushes_files_failures,
"failures_past_56_pushes_in_files": past_56_pushes_files_failures,
"failures_in_directories": total_directories_failures,
"failures_past_7_pushes_in_directories": past_7_pushes_directories_failures,
"failures_past_14_pushes_in_directories": past_14_pushes_directories_failures,
"failures_past_28_pushes_in_directories": past_28_pushes_directories_failures,
"failures_past_56_pushes_in_directories": past_56_pushes_directories_failures,
"failures_in_components": total_components_failures,
"failures_past_7_pushes_in_components": past_7_pushes_components_failures,
"failures_past_14_pushes_in_components": past_14_pushes_components_failures,
"failures_past_28_pushes_in_components": past_28_pushes_components_failures,
"failures_past_56_pushes_in_components": past_56_pushes_components_failures,
"is_possible_regression": task in commit_push_data[1],
"is_likely_regression": task in commit_push_data[2],
}
push_num += 1
logger.info(f"push data nodes: {len(push_data)}")
logger.info(f"commits linked to push data: {len(commits_with_data)}")
logger.info(f"saved push data nodes: {len(saved_nodes)}")
db.append(test_scheduling.TEST_SCHEDULING_DB, generate_data())
zstd_compress(test_scheduling.TEST_SCHEDULING_DB)
with open("data/past_failures.pickle", "wb") as f:
pickle.dump((past_failures, push_num), f, protocol=pickle.HIGHEST_PROTOCOL)
zstd_compress("data/past_failures.pickle")
def find_bug_introducing_commits(cache_dir, git_repo_dir):
mercurial_repo_dir = os.path.join(cache_dir, "mozilla-central")
logger.info("Downloading Mercurial <-> git mapping file...")
vcs_map.download_mapfile()
logger.info(f"Cloning mercurial repository to {mercurial_repo_dir}...")
repository.clone(mercurial_repo_dir)
logger.info(f"Cloning git repository to {git_repo_dir}...")
clone_gecko_dev(git_repo_dir)
logger.info("Download previously found bug-introducing commits...")
db.download_version(BUG_INTRODUCING_COMMITS_DB)
if db.is_old_version(BUG_INTRODUCING_COMMITS_DB) or not os.path.exists(
BUG_INTRODUCING_COMMITS_DB
):
db.download(BUG_INTRODUCING_COMMITS_DB, force=True)
logger.info("Get previously found bug-introducing commits...")
prev_bug_introducing_commits = list(db.read(BUG_INTRODUCING_COMMITS_DB))
prev_bug_introducing_commits_nodes = set(
bug_introducing_commit["bug_fixing_mercurial_rev"]
for bug_introducing_commit in prev_bug_introducing_commits
)
logger.info(f"Already classified {len(prev_bug_introducing_commits)} commits...")
commits_to_ignore = get_commits_to_ignore(mercurial_repo_dir)
git_hashes_to_ignore = set(commit["git_rev"] for commit in commits_to_ignore)
with open("git_hashes_to_ignore", "w") as f:
f.writelines(f"{git_hash}\n" for git_hash in git_hashes_to_ignore)
bug_fixing_commits = find_bug_fixing_commits()
logger.info(f"{len(bug_fixing_commits)} commits to analyze")
# Skip already found bug-introducing commits.
bug_fixing_commits = [
bug_fixing_commit
for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["mercurial_rev"] not in prev_bug_introducing_commits_nodes
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping already analyzed ones"
)
bug_fixing_commits = [
bug_fixing_commit
for bug_fixing_commit in bug_fixing_commits
if bug_fixing_commit["git_rev"] not in git_hashes_to_ignore
]
logger.info(
f"{len(bug_fixing_commits)} commits left to analyze after skipping the ones in the ignore list"
)
def _init(git_repo_dir):
global GIT_REPO
GIT_REPO = GitRepository(git_repo_dir)
def find_bic(bug_fixing_commit):
logger.info("Analyzing {}...".format(bug_fixing_commit["git_rev"]))
commit = GIT_REPO.get_commit(bug_fixing_commit["git_rev"])
# Skip huge changes, we'll likely be wrong with them.
if len(commit.modifications) > MAX_MODIFICATION_NUMBER:
return [None]
bug_introducing_modifications = GIT_REPO.get_commits_last_modified_lines(
commit, hashes_to_ignore_path=os.path.realpath("git_hashes_to_ignore")
)
logger.info(bug_introducing_modifications)
bug_introducing_commits = []
for bug_introducing_hashes in bug_introducing_modifications.values():
for bug_introducing_hash in bug_introducing_hashes:
bug_introducing_commits.append(
{
"bug_fixing_mercurial_rev": bug_fixing_commit["mercurial_rev"],
"bug_fixing_git_rev": bug_fixing_commit["git_rev"],
"bug_introducing_mercurial_rev": vcs_map.git_to_mercurial(
bug_introducing_hash
),
"bug_introducing_git_rev": bug_introducing_hash,
}
)
# Add an empty result, just so that we don't reanalyze this again.
if len(bug_introducing_commits) == 0:
bug_introducing_commits.append(
{
"bug_fixing_mercurial_rev": bug_fixing_commit["mercurial_rev"],
"bug_fixing_git_rev": bug_fixing_commit["git_rev"],
"bug_introducing_mercurial_rev": "",
"bug_introducing_git_rev": "",
}
)
return bug_introducing_commits
with concurrent.futures.ThreadPoolExecutor(
initializer=_init, initargs=(git_repo_dir,), max_workers=os.cpu_count() + 1
) as executor:
bug_introducing_commits = executor.map(find_bic, bug_fixing_commits)
bug_introducing_commits = tqdm(
bug_introducing_commits, total=len(bug_fixing_commits)
)
bug_introducing_commits = list(
itertools.chain.from_iterable(bug_introducing_commits)
)
total_results_num = len(bug_introducing_commits)
bug_introducing_commits = list(filter(None, bug_introducing_commits))
logger.info(
f"Skipped {total_results_num - len(bug_introducing_commits)} commits as they were too big"
)
db.append(BUG_INTRODUCING_COMMITS_DB, bug_introducing_commits)
compress_file(BUG_INTRODUCING_COMMITS_DB)
