def main():
parser = argparse.ArgumentParser()
parser.add_argument("--project", "-p", help="Project path", required=True)
parser.add_argument("--stop_words", "-s", help="Path to stopwords file")
parser.add_argument("--k_topics",
"-k",
help="Number of topics for given project")
parser.add_argument(
"--resolution",
"-r",
help=
"Resolution number parameter in Louvain community detection. A value in range of 0.3 to 1 is advised. A smaller resolution will identify smaller communities and vice versa. By default the whole range is tested and communities for each community saved."
)
parser.add_argument(
"--metrics",
"-m",
help=
"Execute metrics for a given project name after normal parsing and execution (relative path to set root path) (At the current time it does NOT work independently from the identification process)",
action="store_true")
parser.add_argument("--draw",
"-d",
help="Enable plotting of graphs",
action="store_true")
parser.add_argument("--lda-plotting",
"-l",
help="Enable plotting of LDA topics",
action="store_true")
args = parser.parse_args()
Settings.DRAW = True if args.draw else False
Settings.LDA_PLOTTING = True if args.lda_plotting else False
Settings.K_TOPICS = int(args.k_topics) if args.k_topics else None
Settings.RESOLUTION = float(args.resolution) if args.resolution else None
Settings.set_stop_words(args.stop_words)
print(f"Setting Directory as: {Settings.DIRECTORY}")
if args.project:
project_name = str(args.project.split('/')[-1])
project_path = str(args.project)
Settings.PROJECT_PATH = project_path
Settings.PROJECT_NAME = project_name
# cluster_results = (clusters, modularity, resolution)
clusters_results = identify_clusters_in_project(
project_name, project_path)
metrics = Metrics()
for cluster in clusters_results:
Settings.create_id()
# TODO: Refactor MetricExecutor into ProcessResultOutput and MetricExecutor, currently sharing many responsabilities
metric_executor = MetricExecutor()
metric_executor.add_project(project_name, str(cluster[0]))
metric_executor.dump_to_json_file()
if args.metrics:
# TODO: refactor
metrics.set_metric_executor(metric_executor)
metrics.set_cluster_results(clusters_results)
metrics.calculate()
if args.metrics:
metrics.save()
