def cli(
repository: Optional[str],
organization: Optional[str],
create_knowledge: bool,
process_knowledge: bool,
is_local: bool,
entities: Optional[str],
visualize_statistics: bool,
reviewer_reccomender: bool,
knowledge_path: str,
thoth: bool,
metrics: bool,
merge: bool,
):
"""Command Line Interface for SrcOpsMetrics."""
os.environ["IS_LOCAL"] = "True" if is_local else "False"
os.environ[StoragePath.LOCATION_VAR.value] = knowledge_path
repos = []
if repository:
for rep in repository.split(","):
repos.extend(GitHubKnowledge.get_repositories(repository=rep.strip()))
if organization:
repos.extend(GitHubKnowledge.get_repositories(organization=organization))
entities_args = get_entities_as_list(entities)
if create_knowledge:
tupled_repos = [(lambda x: (x[0], x[1]))(repo.split("/")) for repo in repos]
analyse_projects(projects=tupled_repos, is_local=is_local, entities=entities_args)
for project in repos:
os.environ["PROJECT"] = project
if thoth:
if repository and not merge:
kebechet_metrics = KebechetMetrics(repository=repos[0], today=True, is_local=is_local)
kebechet_metrics.evaluate_and_store_kebechet_metrics()
if metrics:
repo_metrics = Metrics(repository=repos[0], visualize=visualize_statistics)
repo_metrics.get_metrics_outliers_pull_requests()
repo_metrics.get_metrics_outliers_issues()
scores = repo_metrics.evaluate_scores_for_pull_requests()
path = Path(f"./srcopsmetrics/metrics/{repos[0]}/pr_scores.json")
KnowledgeStorage(is_local=is_local).save_knowledge(file_path=path, data=scores)
scores_issues = repo_metrics.evaluate_scores_for_issues()
path = Path(f"./srcopsmetrics/metrics/{repos[0]}/issue_scores.json")
KnowledgeStorage(is_local=is_local).save_knowledge(file_path=path, data=scores_issues)
if merge:
if thoth:
KebechetMetrics.merge_kebechet_metrics_today(is_local=is_local)
else:
raise NotImplementedError
def cli(
repository: Optional[str],
organization: Optional[str],
create_knowledge: bool,
process_knowledge: bool,
is_local: bool,
entities: Optional[List[str]],
visualize_statistics: bool,
reviewer_reccomender: bool,
):
"""Command Line Interface for SrcOpsMetrics."""
os.environ['IS_LOCAL'] = 'True' if is_local else 'False'
repos = GitHubKnowledge.get_repositories(repository=repository,
organization=organization)
if create_knowledge:
analyse_projects(projects=[repo.split("/") for repo in repos],
is_local=is_local,
entities=entities)
for repo in repos:
remove_previously_processed(repo)
for project in repos:
os.environ['PROJECT'] = project
if process_knowledge:
remove_previously_processed(project)
issues = KnowledgeStorage(
is_local=is_local).load_previous_knowledge(
project_name=project,
knowledge_type=EntityTypeEnum.ISSUE.value)
prs = KnowledgeStorage(is_local=is_local).load_previous_knowledge(
project_name=project,
knowledge_type=EntityTypeEnum.PULL_REQUEST.value)
Processing(issues=issues, pull_requests=prs).regenerate()
if visualize_statistics:
visualize_project_results(project=project, is_local=is_local)
if reviewer_reccomender:
reviewer_assigner = ReviewerAssigner()
reviewer_assigner.evaluate_reviewers_scores(project=project,
is_local=is_local)
if visualize_statistics and repository is not None:
visualize_project_results(project=repository, is_local=is_local)
elif visualize_statistics and organization is not None:
# TODO
raise NotImplementedError
def cli(
repository: Optional[str],
organization: Optional[str],
create_knowledge: bool,
process_knowledge: bool,
is_local: bool,
entities: Optional[List[str]],
visualize_statistics: bool,
reviewer_reccomender: bool,
knowledge_path: str,
):
"""Command Line Interface for SrcOpsMetrics."""
os.environ["IS_LOCAL"] = "True" if is_local else "False"
os.environ[StoragePath.LOCATION_VAR.value] = knowledge_path
repos = GitHubKnowledge.get_repositories(repository=repository,
organization=organization)
if create_knowledge:
tupled_repos = [(lambda x: (x[0], x[1]))(repo.split("/"))
for repo in repos]
analyse_projects(projects=tupled_repos,
is_local=is_local,
entities=entities)
for project in repos:
os.environ["PROJECT"] = project
if visualize_statistics:
raise NotImplementedError
if reviewer_reccomender:
reviewer_assigner = ReviewerAssigner()
reviewer_assigner.evaluate_reviewers_scores(project=project,
is_local=is_local)
if visualize_statistics and repository is not None:
raise NotImplementedError
elif visualize_statistics and organization is not None:
raise NotImplementedError
import os
from importlib import import_module
from pathlib import Path
from pkgutil import iter_modules
from typing import List, Optional, Tuple
from srcopsmetrics.entities import Entity, NOT_FOR_INSPECTION
from srcopsmetrics.exceptions import NotKnownEntities
from srcopsmetrics.github_knowledge import GitHubKnowledge
from srcopsmetrics import utils
import inspect
_LOGGER = logging.getLogger(__name__)
github_knowledge = GitHubKnowledge()
def _get_all_entities():
"""Return all of the currently implemented entities."""
entities_classes = []
for pkg in iter_modules([os.path.abspath("./srcopsmetrics/entities/")]):
if pkg.name in NOT_FOR_INSPECTION:
continue
module = import_module(f"srcopsmetrics.entities.{pkg.name}")
for name, klazz in inspect.getmembers(module, inspect.isclass):
if name != "Entity" and issubclass(klazz, Entity):
entities_classes.append(klazz)