def get_commit_data(commit_list: List[repository.CommitDict]) -> List[dict]:
if len(commit_list) == 0:
return []
# Evaluate risk of commits associated to this bug.
probs = self.regressor_model.classify(commit_list, probabilities=True)
commits_data = []
for i, commit in enumerate(commit_list):
revision_id = repository.get_revision_id(commit)
if revision_id in revision_map:
testing = phabricator.get_testing_project(revision_map[revision_id])
if testing is None:
testing = "missing"
else:
testing = None
commits_data.append(
{
"id": commit["node"],
"testing": testing,
"risk": float(probs[i][1]),
"backedout": bool(commit["backedoutby"]),
"author": commit["author_email"],
"reviewers": commit["reviewers"],
"coverage": [
commit["cov_added"],
commit["cov_covered"],
commit["cov_unknown"],
],
}
)
return commits_data
def retrieve_revisions(self, limit: Optional[int] = None) -> None:
phabricator.set_api_key(get_secret("PHABRICATOR_URL"),
get_secret("PHABRICATOR_TOKEN"))
db.download(phabricator.REVISIONS_DB)
# Get the commits DB, as we need it to get the revision IDs linked to recent commits.
assert db.download(repository.COMMITS_DB)
# Get the bugs DB, as we need it to get the revision IDs linked to bugs.
assert db.download(bugzilla.BUGS_DB)
# Get IDs of revisions linked to commits since a year ago.
start_date = datetime.utcnow() - relativedelta(years=1)
revision_ids = list((filter(
None,
(repository.get_revision_id(commit)
for commit in repository.get_commits()
if dateutil.parser.parse(commit["pushdate"]) >= start_date),
)))
if limit is not None:
revision_ids = revision_ids[-limit:]
# Get IDs of revisions linked to bugs since a year ago.
for bug in bugzilla.get_bugs():
if (dateutil.parser.parse(
bug["creation_time"]).replace(tzinfo=None) < start_date):
continue
revision_ids += bugzilla.get_revision_ids(bug)
phabricator.download_revisions(revision_ids)
zstd_compress(phabricator.REVISIONS_DB)
def list_testing_projects(
commits: Iterable[repository.CommitDict], ) -> Collection[str]:
return list(
filter(
None,
(phabricator.get_testing_project(
revision_map[repository.get_revision_id(commit)])
for commit in commits),
))
def generate_landings_by_date(
self,
bug_map: Dict[int, bugzilla.BugDict],
regressor_bug_ids: Set[int],
bugs: List[int],
meta_bugs: Dict[int, List[int]],
) -> None:
# A map from bug ID to the list of commits associated to the bug (in order of landing).
bug_to_commits = collections.defaultdict(list)
for commit in repository.get_commits():
bug_id = commit["bug_id"]
if not bug_id:
continue
if bug_id in bug_map or bug_id in regressor_bug_ids:
bug_to_commits[bug_id].append(commit)
# All bugs blocking the "fuzz" bug (316898) and its dependent meta bugs are fuzzing bugs.
fuzzblocker_bugs = set(bug["id"] for bug in bug_map.values()
if is_fuzzblocker(bug))
fuzzing_bugs = (set(
sum(self.get_blocking_of([316898], meta_only=True).values(), []) +
[
bug["id"] for bug in bug_map.values() if "bugmon" in
bug["whiteboard"].lower() or "bugmon" in bug["keywords"]
])
| fuzzblocker_bugs)
logger.info("Retrieve Phabricator revisions linked to commits...")
revision_ids = set(
filter(
None,
(repository.get_revision_id(commit) for bug_id in bugs
for commit in bug_to_commits[bug_id]),
))
logger.info("Download revisions of interest...")
phabricator.download_revisions(revision_ids)
revision_map = {
revision["id"]: revision
for revision in phabricator.get_revisions()
if revision["id"] in revision_ids
}
blocker_to_meta = collections.defaultdict(set)
for meta_bug, blocker_bug_ids in meta_bugs.items():
for blocker_bug_id in blocker_bug_ids:
blocker_to_meta[blocker_bug_id].add(meta_bug)
def find_risk_band(risk: float) -> str:
for name, start, end in self.risk_bands:
if start <= risk <= end:
return name
assert False
def get_commit_data(
commit_list: List[repository.CommitDict]) -> List[dict]:
if len(commit_list) == 0:
return []
# Evaluate risk of commits associated to this bug.
probs = self.regressor_model.classify(commit_list,
probabilities=True)
commits_data = []
for i, commit in enumerate(commit_list):
revision_id = repository.get_revision_id(commit)
if revision_id in revision_map:
revision = revision_map[revision_id]
testing = phabricator.get_testing_project(revision)
if testing is None:
testing = "missing"
first_review_time = phabricator.get_review_time(revision)
else:
testing = None
first_review_time = None
commits_data.append({
"id":
commit["node"],
"testing":
testing,
"first_review_time":
first_review_time.total_seconds() /
86400 if first_review_time else None,
"risk":
float(probs[i][1]),
"backedout":
bool(commit["backedoutby"]),
"author":
commit["author_email"],
"reviewers":
commit["reviewers"],
"coverage": [
commit["cov_added"],
commit["cov_covered"],
commit["cov_unknown"],
],
})
return commits_data
component_team_mapping = bugzilla.get_component_team_mapping()
bug_summaries = []
for bug_id in bugs:
if bug_id not in bug_map:
continue
commit_list = bug_to_commits.get(bug_id, [])
commit_data = get_commit_data(commit_list)
bug = bug_map[bug_id]
time_to_bug = None
for regressor_bug_id in bug["regressed_by"]:
# Get the date of the last commit in the regressor bug that landed before the regression bug.
last_commit_date = max(
(dateutil.parser.parse(commit["pushdate"])
for commit in bug_to_commits.get(regressor_bug_id, [])
if dateutil.parser.parse(commit["pushdate"]) < dateutil.
parser.parse(bug["creation_time"]).replace(tzinfo=None)),
default=None,
)
if last_commit_date is None:
continue
# Get the minimum "time to bug" (from the fix time of the closest regressor to the regression bug).
cur_time_to_bug = (dateutil.parser.parse(
bug["creation_time"]).replace(tzinfo=None) -
last_commit_date).total_seconds() / 86400
if time_to_bug is None or cur_time_to_bug < time_to_bug:
time_to_bug = cur_time_to_bug
time_to_confirm = None
if bug["is_confirmed"]:
for history in bug["history"]:
for change in history["changes"]:
if (change["field_name"] == "status"
and change["removed"] == "UNCONFIRMED"
and change["added"] in ("NEW", "ASSIGNED")):
time_to_confirm = (
dateutil.parser.parse(
history["when"]).replace(tzinfo=None) -
dateutil.parser.parse(bug["creation_time"]).
replace(tzinfo=None)).total_seconds() / 86400
break
if time_to_confirm is not None:
break
bug_summary = {
"id":
bug_id,
"regressor":
bug_id in regressor_bug_ids,
"regression":
len(bug["regressed_by"]) > 0
or any(keyword in bug["keywords"]
for keyword in ["regression", "talos-regression"])
or ("cf_has_regression_range" in bug
and bug["cf_has_regression_range"] == "yes"),
"time_to_bug":
time_to_bug,
"time_to_confirm":
time_to_confirm,
"whiteboard":
bug["whiteboard"],
"assignee":
bug["assigned_to"]
if bug["assigned_to"] != "*****@*****.**" else None,
"versions":
bugzilla.get_fixed_versions(bug),
"component":
get_full_component(bug),
"team":
component_team_mapping.get(bug["product"],
{}).get(bug["component"]),
"summary":
bug["summary"],
"fixed":
bug["resolution"] == "FIXED",
"types":
bug_to_types(bug, bug_map),
"severity":
bug["severity"],
"creation_date":
dateutil.parser.parse(
bug["creation_time"]).strftime("%Y-%m-%d"),
"date":
max(
dateutil.parser.parse(commit["pushdate"])
for commit in commit_list).strftime("%Y-%m-%d")
if len(commit_list) > 0 else None,
"commits":
commit_data,
"meta_ids":
list(blocker_to_meta[bug_id]),
"risk_band":
find_risk_band(max(commit["risk"] for commit in commit_data))
if len(commit_data) > 0 else None,
"fuzz":
"b" if bug["id"] in fuzzblocker_bugs else
"y" if bug["id"] in fuzzing_bugs else "n",
}
self.get_prev_bugs_stats(bug_summary, commit_list)
bug_summaries.append(bug_summary)
landings_by_date = collections.defaultdict(list)
for bug_summary in bug_summaries:
landings_by_date[bug_summary["creation_date"]].append(bug_summary)
with open("landings_by_date.json", "w") as f:
output: dict = {
"summaries": landings_by_date,
}
if meta_bugs is not None:
output["featureMetaBugs"] = [{
"id":
meta_bug,
"summary":
bug_map[meta_bug]["summary"]
} for meta_bug in meta_bugs]
json.dump(output, f)
def go(self,
bugs: List[int],
meta_bugs: Optional[List[int]] = None) -> None:
if meta_bugs is not None:
bugs += meta_bugs + self.get_blocking_of(meta_bugs)
logger.info("Download bugs of interest...")
bugzilla.download_bugs(bugs)
component_team_mapping = bugzilla.get_component_team_mapping()
bugs_set = set(bugs)
commits = [
commit for commit in repository.get_commits()
if commit["bug_id"] in bugs_set
]
commit_map = {commit["node"]: commit for commit in commits}
hash_to_rev = {commit["node"]: i for i, commit in enumerate(commits)}
logger.info(f"{len(commits)} commits to analyze.")
logger.info(f"{len(bugs_set)} bugs to analyze.")
bug_map = {}
regressor_bug_ids = set()
for bug in bugzilla.get_bugs():
bug_map[bug["id"]] = bug
if len(bug["regressions"]) > 0:
regressor_bug_ids.add(bug["id"])
logger.info("Retrieve Phabricator revisions linked to commits...")
revision_ids = set(
filter(None,
(repository.get_revision_id(commit) for commit in commits)))
logger.info("Download revisions of interest...")
phabricator.download_revisions(revision_ids)
revision_map = {
revision["id"]: revision
for revision in phabricator.get_revisions()
if revision["id"] in revision_ids
}
if meta_bugs is not None:
blocker_to_meta = collections.defaultdict(set)
for meta_bug in meta_bugs:
if meta_bug not in bug_map:
continue
for blocker_bug_id in bugzilla.find_blocking(
bug_map, bug_map[meta_bug]):
blocker_to_meta[blocker_bug_id].add(meta_bug)
def _download_past_bugs(url: str) -> dict:
path = os.path.join("data", os.path.basename(url)[:-4])
download_check_etag(url, path=f"{path}.zst")
zstd_decompress(path)
assert os.path.exists(path)
with open(path, "r") as f:
return json.load(f)
past_regressions_by = {}
past_fixed_bugs_by = {}
past_regression_blocked_bugs_by = {}
past_fixed_bug_blocked_bugs_by = {}
for dimension in ["component", "directory", "file", "function"]:
past_regressions_by[dimension] = _download_past_bugs(
PAST_REGRESSIONS_BY_URL.format(dimension=dimension))
past_fixed_bugs_by[dimension] = _download_past_bugs(
PAST_FIXED_BUGS_BY_URL.format(dimension=dimension))
past_regression_blocked_bugs_by[dimension] = _download_past_bugs(
PAST_REGRESSION_BLOCKED_BUGS_BY_URL.format(
dimension=dimension))
past_fixed_bug_blocked_bugs_by[dimension] = _download_past_bugs(
PAST_FIXED_BUG_BLOCKED_BUGS_BY_URL.format(dimension=dimension))
path_to_component = repository.get_component_mapping()
def get_full_component(bug):
return "{}::{}".format(bug["product"], bug["component"])
def histogram(components: List[str]) -> Dict[str, float]:
counter = collections.Counter(components)
return {
component: count / len(components)
for component, count in counter.most_common()
}
def component_histogram(bugs: List[dict]) -> Dict[str, float]:
return histogram([bug["component"] for bug in bugs])
def find_risk_band(risk: float) -> str:
for name, start, end in self.risk_bands:
if start <= risk <= end:
return name
assert False
def get_prev_bugs(past_bugs_by: dict,
commit: repository.CommitDict,
component: str = None) -> List[dict]:
paths = [
path for path in commit["files"]
if component is None or (path.encode(
"utf-8") in path_to_component and path_to_component[
path.encode("utf-8")] == component.encode("utf-8"))
]
past_bugs = []
for path, f_group in commit["functions"].items():
if path not in paths:
continue
if path not in past_bugs_by["function"]:
continue
found = False
for f in f_group:
if f[0] not in past_bugs_by["function"][path]:
continue
found = True
past_bugs += past_bugs_by["function"][path][f[0]]
if found:
paths.remove(path)
for path in paths:
if path in past_bugs_by["file"]:
past_bugs += past_bugs_by["file"][path]
paths.remove(path)
for path, directories in zip(paths,
repository.get_directories(paths)):
found = False
for directory in directories:
if directory in past_bugs_by["directory"]:
found = True
past_bugs += past_bugs_by["directory"][directory]
if found:
paths.remove(path)
components = [
path_to_component[path.encode("utf-8")].tobytes().decode(
"utf-8") for path in paths
if path.encode("utf-8") in path_to_component
]
for component in components:
if component in past_bugs_by["component"]:
past_bugs += past_bugs_by["component"][component]
return past_bugs
def get_prev_bugs_stats(
commit_group: dict,
commit_list: List[repository.CommitDict],
component: str = None,
) -> None:
# Find previous regressions occurred in the same files as those touched by these commits.
# And find previous bugs that were fixed by touching the same files as these commits.
# And find previous bugs that were blocked by regressions occurred in the same files as those touched by these commits.
# And find previous bugs that were blocked by bugs that were fixed by touching the same files as those touched by these commits.
prev_regressions: List[Dict[str, Any]] = sum(
(get_prev_bugs(past_regressions_by, commit, component)
for commit in commit_list),
[],
)
prev_fixed_bugs: List[Dict[str, Any]] = sum(
(get_prev_bugs(past_fixed_bugs_by, commit, component)
for commit in commit_list),
[],
)
prev_regression_blocked_bugs: List[Dict[str, Any]] = sum(
(get_prev_bugs(past_regression_blocked_bugs_by, commit,
component) for commit in commit_list),
[],
)
prev_fixed_bug_blocked_bugs: List[Dict[str, Any]] = sum(
(get_prev_bugs(past_fixed_bug_blocked_bugs_by, commit,
component) for commit in commit_list),
[],
)
prev_regressions = _deduplicate(prev_regressions)
prev_fixed_bugs = _deduplicate(prev_fixed_bugs)
prev_regression_blocked_bugs = _deduplicate(
prev_regression_blocked_bugs)
prev_fixed_bug_blocked_bugs = _deduplicate(
prev_fixed_bug_blocked_bugs)
regression_components = component_histogram(prev_regressions)
fixed_bugs_components = component_histogram(prev_fixed_bugs)
regression_blocked_bug_components = component_histogram(
prev_regression_blocked_bugs)
fixed_bug_blocked_bug_components = component_histogram(
prev_fixed_bug_blocked_bugs)
commit_group[
"most_common_regression_components"] = regression_components
# These are only used for component connections for the time being.
if component:
commit_group["prev_regressions"] = prev_regressions[-3:]
commit_group["prev_fixed_bugs"] = prev_fixed_bugs[-3:]
commit_group[
"prev_regression_blocked_bugs"] = prev_regression_blocked_bugs[
-3:]
commit_group[
"prev_fixed_bug_blocked_bugs"] = prev_fixed_bug_blocked_bugs[
-3:]
commit_group[
"most_common_fixed_bugs_components"] = fixed_bugs_components
commit_group[
"most_common_regression_blocked_bug_components"] = regression_blocked_bug_components
commit_group[
"most_common_fixed_bug_blocked_bug_components"] = fixed_bug_blocked_bug_components
def get_commit_data(
commit_list: List[repository.CommitDict]) -> List[dict]:
if len(commit_list) == 0:
return []
# Evaluate risk of commits associated to this bug.
probs = self.regressor_model.classify(commit_list,
probabilities=True)
commits_data = []
for i, commit in enumerate(commit_list):
revision_id = repository.get_revision_id(commit)
if revision_id in revision_map:
testing = phabricator.get_testing_project(
revision_map[revision_id])
if testing is None:
testing = "missing"
else:
testing = None
commits_data.append({
"id":
commit["node"],
"testing":
testing,
"risk":
float(probs[i][1]),
"backedout":
bool(commit["backedoutby"]),
"author":
commit["author_email"],
"reviewers":
commit["reviewers"],
"coverage": [
commit["cov_added"],
commit["cov_covered"],
commit["cov_unknown"],
],
})
return commits_data
# Sort commits by bug ID, so we can use itertools.groupby to group them by bug ID.
commits.sort(key=lambda x: x["bug_id"])
bug_to_commits = {}
for bug_id, commit_iter in itertools.groupby(commits,
lambda x: x["bug_id"]):
# TODO: Figure out what to do with bugs we couldn't download (security bugs).
if bug_id not in bug_map:
continue
bug_to_commits[bug_id] = sorted(
commit_iter, key=lambda x: hash_to_rev[x["node"]])
bug_summaries = []
for bug_id in bugs:
if bug_id not in bug_map:
continue
commit_list = bug_to_commits.get(bug_id, [])
commit_data = get_commit_data(commit_list)
bug = bug_map[bug_id]
bug_summary = {
"id":
bug_id,
"regressor":
bug_id in regressor_bug_ids,
"regression":
len(bug["regressed_by"]) > 0
or any(keyword in bug["keywords"]
for keyword in ["regression", "talos-regression"])
or ("cf_has_regression_range" in bug
and bug["cf_has_regression_range"] == "yes"),
"whiteboard":
bug["whiteboard"],
"assignee":
bug["assigned_to"]
if bug["assigned_to"] != "*****@*****.**" else None,
"versions":
bugzilla.get_fixed_versions(bug),
"component":
get_full_component(bug),
"team":
bugzilla.component_to_team(component_team_mapping,
bug["product"], bug["component"]),
"summary":
bug["summary"],
"types":
bug_to_types(bug),
"severity":
bug["severity"],
"creation_date":
dateutil.parser.parse(
bug["creation_time"]).strftime("%Y-%m-%d"),
"date":
max(
dateutil.parser.parse(commit["pushdate"])
for commit in commit_list).strftime("%Y-%m-%d")
if len(commit_list) > 0 else None,
"commits":
commit_data,
"meta_ids":
list(blocker_to_meta[bug_id]),
"risk_band":
find_risk_band(max(commit["risk"] for commit in commit_data))
if len(commit_data) > 0 else None,
}
get_prev_bugs_stats(bug_summary, commit_list)
bug_summaries.append(bug_summary)
landings_by_date = collections.defaultdict(list)
for bug_summary in bug_summaries:
landings_by_date[bug_summary["creation_date"]].append(bug_summary)
with open("landings_by_date.json", "w") as f:
output: dict = {
"summaries": landings_by_date,
}
if meta_bugs is not None:
output["featureMetaBugs"] = [{
"id":
meta_bug,
"summary":
bug_map[meta_bug]["summary"]
} for meta_bug in meta_bugs]
json.dump(output, f)
# Retrieve components of test failures that occurred when landing patches to fix bugs in specific components.
component_failures = collections.defaultdict(list)
push_data_iter, push_data_count, all_runnables = test_scheduling.get_push_data(
"group")
for revisions, _, _, possible_regressions, likely_regressions in tqdm(
push_data_iter(), total=push_data_count):
commit_list = [
commit_map[revision] for revision in revisions
if revision in commit_map
]
if len(commit_list) == 0:
continue
commit_bugs = [
bug_map[commit["bug_id"]] for commit in commit_list
if commit["bug_id"] in bug_map
]
components = list(
set(get_full_component(bug) for bug in commit_bugs))
groups = [
group for group in list(
set(possible_regressions + likely_regressions))
if group.encode("utf-8") in path_to_component
]
for group in groups:
for component in components:
component_failures[component].append(path_to_component[
group.encode("utf-8")].tobytes().decode("utf-8"))
# Filter out commits for which we have no bugs.
commits = [commit for commit in commits if commit["bug_id"] in bug_map]
# Sort commits by bug component, so we can use itertools.groupby to group them by bug component.
commits.sort(key=lambda x: get_full_component(bug_map[x["bug_id"]]))
commit_groups = []
for component, commit_iter in itertools.groupby(
commits, lambda x: get_full_component(bug_map[x["bug_id"]])):
commit_group = {
"component": component,
"most_common_test_failure_components":
histogram(component_failures[component])
if component in component_failures else {},
}
get_prev_bugs_stats(commit_group, list(commit_iter), component)
commit_groups.append(commit_group)
with open("component_connections.json", "w") as f:
json.dump(commit_groups, f)
repository.close_component_mapping()
def go(self,
bugs: List[int],
meta_bugs: Optional[List[int]] = None) -> None:
if meta_bugs is not None:
bugs += meta_bugs + self.get_blocking_of(meta_bugs)
logger.info("Download bugs of interest...")
bugzilla.download_bugs(bugs)
bugs_set = set(bugs)
commits = [
commit for commit in repository.get_commits()
if commit["bug_id"] in bugs_set
]
hash_to_rev = {commit["node"]: i for i, commit in enumerate(commits)}
logger.info(f"{len(commits)} commits to analyze.")
bug_ids = {commit["bug_id"] for commit in commits}
logger.info(f"{len(bug_ids)} bugs to analyze.")
bug_map = {}
regressor_bug_ids = set()
for bug in bugzilla.get_bugs():
if bug["id"] in bugs_set:
bug_map[bug["id"]] = bug
if len(bug["regressions"]) > 0:
regressor_bug_ids.add(bug["id"])
logger.info("Retrieve Phabricator revisions linked to commits...")
revision_ids = set(
filter(None,
(repository.get_revision_id(commit) for commit in commits)))
logger.info("Download revisions of interest...")
phabricator.download_revisions(revision_ids)
revision_map = {
revision["id"]: revision
for revision in phabricator.get_revisions()
if revision["id"] in revision_ids
}
if meta_bugs is not None:
blocker_to_meta = collections.defaultdict(set)
for meta_bug in meta_bugs:
if meta_bug not in bug_map:
continue
for blocker_bug_id in bugzilla.find_blocking(
bug_map, bug_map[meta_bug]):
blocker_to_meta[blocker_bug_id].add(meta_bug)
# TODO: Use past regressions by function information too (maybe first by function and if no results by file? or prioritize function and recentness?)
def _download_past_bugs(url: str) -> dict:
path = os.path.join("data", os.path.basename(url)[:-4])
download_check_etag(url, path=f"{path}.zst")
zstd_decompress(path)
assert os.path.exists(path)
with open(path, "r") as f:
return json.load(f)
past_regressions_by_file = _download_past_bugs(
PAST_REGRESSIONS_BY_FILE_URL)
past_fixed_bugs_by_file = _download_past_bugs(
PAST_FIXED_BUGS_BY_FILE_URL)
past_regression_blocked_bugs_by_file = _download_past_bugs(
PAST_REGRESSION_BLOCKED_BUGS_BY_FILE_URL)
past_fixed_bug_blocked_bugs_by_file = _download_past_bugs(
PAST_FIXED_BUG_BLOCKED_BUGS_BY_FILE_URL)
def component_histogram(bugs: List[dict]) -> Dict[str, float]:
counter = collections.Counter(bug["component"] for bug in bugs)
return {
component: count / len(bugs)
for component, count in counter.most_common()
}
# Sort commits by bug ID, so we can use itertools.groupby to group them by bug ID.
commits.sort(key=lambda x: x["bug_id"])
commit_groups = []
for bug_id, commit_iter in itertools.groupby(commits,
lambda x: x["bug_id"]):
# TODO: Figure out what to do with bugs we couldn't download (security bugs).
if bug_id not in bug_map:
continue
commit_list = list(commit_iter)
commit_list.sort(key=lambda x: hash_to_rev[x["node"]])
# Find previous regressions occurred in the same files as those touched by these commits.
# And find previous bugs that were fixed by touching the same files as these commits.
# And find previous bugs that were blocked by regressions occurred in the same files as those touched by these commits.
# And find previous bugs that were blocked by bugs that were fixed by touching the same files as those touched by these commits.
prev_regressions: List[Dict[str, Any]] = []
prev_fixed_bugs: List[Dict[str, Any]] = []
prev_regression_blocked_bugs: List[Dict[str, Any]] = []
prev_fixed_bug_blocked_bugs: List[Dict[str, Any]] = []
for commit in commit_list:
for path in commit["files"]:
if path in past_regressions_by_file:
prev_regressions.extend(
bug_summary
for bug_summary in past_regressions_by_file[path])
if path in past_fixed_bugs_by_file:
prev_fixed_bugs.extend(
bug_summary
for bug_summary in past_fixed_bugs_by_file[path])
if path in past_regression_blocked_bugs_by_file:
prev_regression_blocked_bugs.extend(
bug_summary for bug_summary in
past_regression_blocked_bugs_by_file[path])
if path in past_fixed_bug_blocked_bugs_by_file:
prev_fixed_bug_blocked_bugs.extend(
bug_summary for bug_summary in
past_fixed_bug_blocked_bugs_by_file[path])
prev_regressions = _deduplicate(prev_regressions)
prev_fixed_bugs = _deduplicate(prev_fixed_bugs)
prev_regression_blocked_bugs = _deduplicate(
prev_regression_blocked_bugs)
prev_fixed_bug_blocked_bugs = _deduplicate(
prev_fixed_bug_blocked_bugs)
regression_components = component_histogram(prev_regressions)
fixed_bugs_components = component_histogram(prev_fixed_bugs)
regression_blocked_bug_components = component_histogram(
prev_regression_blocked_bugs)
fixed_bug_blocked_bug_components = component_histogram(
prev_fixed_bug_blocked_bugs)
# Evaluate risk of commits associated to this bug.
probs = self.regressor_model.classify(commit_list,
probabilities=True)
commits_data = []
for i, commit in enumerate(commit_list):
revision_id = repository.get_revision_id(commit)
if revision_id in revision_map:
testing = phabricator.get_testing_project(
revision_map[revision_id])
if testing is None:
testing = "none"
else:
testing = None
commits_data.append({
"id":
commit["node"],
"testing":
testing,
"risk":
float(probs[i][1]),
"backedout":
bool(commit["backedoutby"]),
"regressor":
commit["bug_id"] in regressor_bug_ids,
})
bug = bug_map[bug_id]
commit_groups.append({
"id":
bug_id,
"versions":
bugzilla.get_fixed_versions(bug),
"component":
"{}::{}".format(bug["product"], bug["component"]),
"summary":
bug["summary"],
"date":
max(
dateutil.parser.parse(commit["pushdate"])
for commit in commit_list).strftime("%Y-%m-%d"),
"commits":
commits_data,
"meta_ids":
list(blocker_to_meta[bug_id]),
"prev_regressions":
prev_regressions[-3:],
"prev_fixed_bugs":
prev_fixed_bugs[-3:],
"prev_regression_blocked_bugs":
prev_regression_blocked_bugs[-3:],
"prev_fixed_bug_blocked_bugs":
prev_fixed_bug_blocked_bugs[-3:],
"most_common_regression_components":
regression_components,
"most_common_fixed_bugs_components":
fixed_bugs_components,
"most_common_regression_blocked_bug_components":
regression_blocked_bug_components,
"most_common_fixed_bug_blocked_bug_components":
fixed_bug_blocked_bug_components,
})
landings_by_date = collections.defaultdict(list)
for commit_group in commit_groups:
landings_by_date[commit_group["date"]].append(commit_group)
with open("landings_by_date.json", "w") as f:
output: dict = {
"landings": landings_by_date,
}
if meta_bugs is not None:
output["featureMetaBugs"] = [{
"id":
meta_bug,
"summary":
bug_map[meta_bug]["summary"]
} for meta_bug in meta_bugs]
json.dump(output, f)
def go(self, days_start: int, days_end: int) -> None:
commits = self.get_landed_since(days_start, days_end)
logger.info("Retrieve Phabricator revisions linked to commits...")
revision_ids = set(
filter(None,
(repository.get_revision_id(commit) for commit in commits)))
logger.info("Download revisions of interest...")
phabricator.download_revisions(revision_ids)
revision_map = {
revision["id"]: revision
for revision in phabricator.get_revisions()
if revision["id"] in revision_ids
}
logger.info("Download bugs of interest...")
bugzilla.download_bugs(commit["bug_id"] for commit in commits
if commit["bug_id"])
# Filter-out commits with no Phabricator revision linked to them, or with no testing tags.
commits = [
commit for commit in commits
if repository.get_revision_id(commit) in revision_map
]
logger.info(f"{len(commits)} revisions")
# Filter-out commits with no testing tags.
commits = [
commit for commit in commits if phabricator.get_testing_project(
revision_map[repository.get_revision_id(commit)]) is not None
]
logger.info(f"{len(commits)} revisions with testing tags")
def list_testing_projects(
commits: Iterable[repository.CommitDict], ) -> Collection[str]:
return list(
filter(
None,
(phabricator.get_testing_project(
revision_map[repository.get_revision_id(commit)])
for commit in commits),
))
testing_projects = list_testing_projects(commits)
print(f"Most common testing tags (in {len(commits)} revisions):")
for testing_project, count in collections.Counter(
testing_projects).most_common():
print(
f"{testing_project} - {round(100 * count / len(testing_projects), 1)}%"
)
backedout_commits = [
commit for commit in commits if commit["backedoutby"]
]
backedout_testing_projects = list_testing_projects(backedout_commits)
print(
f"\nMost common testing tags for backed-out revisions (in {len(backedout_commits)} revisions):"
)
for testing_project, count in collections.Counter(
backedout_testing_projects).most_common():
print(
f"{testing_project} - {round(100 * count / len(backedout_testing_projects), 1)}%"
)
regressor_bug_ids = {
bug["id"]
for bug in bugzilla.get_bugs() if len(bug["regressions"]) > 0
}
regressor_commits = [
commit for commit in commits
if commit["bug_id"] in regressor_bug_ids
]
regressor_testing_projects = list_testing_projects(regressor_commits)
print(
f"\nMost common testing tags for revisions which caused regressions (in {len(regressor_commits)} revisions):"
)
for testing_project, count in collections.Counter(
regressor_testing_projects).most_common():
print(
f"{testing_project} - {round(100 * count / len(regressor_testing_projects), 1)}%"
)
