Files
drc-ners-nlp/monitor.py
T

144 lines
4.8 KiB
Python
Executable File

#!.venv/bin/python3
import argparse
import sys
from core.config.config_manager import ConfigManager
from processing.monitoring.data_analyzer import DatasetAnalyzer
from processing.monitoring.pipeline_monitor import PipelineMonitor
def main():
parser = argparse.ArgumentParser(
description="Monitor and manage the DRC names processing pipeline"
)
subparsers = parser.add_subparsers(dest="command", help="Available commands")
# Status command
status_parser = subparsers.add_parser("status", help="Show pipeline status")
status_parser.add_argument(
"--detailed",
action="store_true",
help="Show detailed information including failed batch IDs",
)
# Clean command
clean_parser = subparsers.add_parser("clean", help="Clean checkpoint files")
clean_parser.add_argument(
"--step",
type=str,
choices=["data_cleaning", "feature_extraction", "llm_annotation", "data_splitting"],
help="Clean specific step (default: all)",
)
clean_parser.add_argument(
"--keep-last", type=int, default=1, help="Number of recent checkpoints to keep (default: 1)"
)
clean_parser.add_argument("--force", action="store_true", help="Clean without confirmation")
# Reset command
reset_parser = subparsers.add_parser("reset", help="Reset pipeline step")
reset_parser.add_argument(
"step",
type=str,
choices=["data_cleaning", "feature_extraction", "llm_annotation", "data_splitting"],
help="Step to reset",
)
reset_parser.add_argument("--force", action="store_true", help="Reset without confirmation")
# Analyze command
analyze_parser = subparsers.add_parser("analyze", help="Analyze dataset")
analyze_parser.add_argument(
"--file",
type=str,
default="names_featured.csv",
help="Dataset file to analyze (default: names_featured.csv)",
)
# Checkpoint info command
info_parser = subparsers.add_parser("info", help="Show checkpoint information")
args = parser.parse_args()
if not args.command:
parser.print_help()
return 1
monitor = PipelineMonitor()
if args.command == "status":
monitor.print_status(detailed=args.detailed)
elif args.command == "clean":
checkpoint_info = monitor.count_checkpoint_files()
print(f"Current checkpoint storage: {checkpoint_info['total_size_mb']:.1f} MB")
if not args.force:
response = input("Are you sure you want to clean checkpoints? (y/N): ")
if response.lower() != "y":
print("Cancelled")
return 0
if args.step:
monitor.clean_step_checkpoints(args.step, args.keep_last)
else:
for step in monitor.steps:
monitor.clean_step_checkpoints(step, args.keep_last)
print("Checkpoint cleaning completed")
elif args.command == "reset":
if not args.force:
response = input(
f"Are you sure you want to reset {args.step}? This will delete all checkpoints. (y/N): "
)
if response.lower() != "y":
print("Cancelled")
return 0
monitor.reset_step(args.step)
print(f"Reset completed for {args.step}")
elif args.command == "analyze":
# Use configured data directory instead of hardcoded DATA_DIR
data_dir = ConfigManager().default_paths.data_dir
filepath = data_dir / args.file
if not filepath.exists():
print(f"File not found: {filepath}")
return 1
analyzer = DatasetAnalyzer(str(filepath))
if not analyzer.load_data():
return 1
completion_stats = analyzer.analyze_completion()
print(f"\n=== Dataset Analysis: {args.file} ===")
print(f"Total rows: {completion_stats['total_rows']:,}")
print(f"Annotated: {completion_stats['annotated_rows']:,} ({completion_stats['annotation_percentage']:.1f}%)")
print(f"Unannotated: {completion_stats['unannotated_rows']:,}")
print(
f"Complete names: {completion_stats['complete_names']:,} ({completion_stats['completeness_percentage']:.1f}%)"
)
elif args.command == "info":
checkpoint_info = monitor.count_checkpoint_files()
print(f"\n=== Checkpoint Information ===")
print(f"Total storage: {checkpoint_info['total_size_mb']:.1f} MB")
print()
for step in monitor.steps:
step_info = checkpoint_info[step]
print(f"{step.replace('_', ' ').title()}:")
print(f" Files: {step_info['files']}")
print(f" Size: {step_info['size_mb']:.1f} MB")
print()
return 0
if __name__ == "__main__":
exit_code = main()
sys.exit(exit_code)