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 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)}%" )