#!/usr/bin/env python3
"""
DataJuicer Job Utilities - Common Functions
Shared utilities for job stopping and monitoring operations.
"""
import json
import os
import sys
import threading
import time
from pathlib import Path
from typing import Any, Dict, List, Optional, Set
import psutil
from loguru import logger
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class JobUtils:
"""Common utilities for DataJuicer job operations."""
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def __init__(self, job_id: str, work_dir: str = None, base_dir: str = None):
"""
Initialize job utilities.
Args:
job_id: The job ID to work with
work_dir: Work directory that already includes job_id (preferred)
base_dir: Base directory containing job outputs (deprecated, use work_dir instead)
"""
self.job_id = job_id
if work_dir:
# work_dir already includes job_id
self.work_dir = Path(work_dir)
elif base_dir:
# Legacy: construct work_dir from base_dir + job_id
self.work_dir = Path(base_dir) / job_id
else:
# Default fallback
self.work_dir = Path("outputs/partition-checkpoint-eventlog") / job_id
# Set up logging
logger.remove()
logger.add(sys.stderr, level="INFO", format="{time:HH:mm:ss} | {level} | {name}:{function}:{line} - {message}")
if not self.work_dir.exists():
raise FileNotFoundError(f"Job directory not found: {self.work_dir}")
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def load_job_summary(self) -> Optional[Dict[str, Any]]:
"""Load job summary from the work directory."""
job_summary_file = self.work_dir / "job_summary.json"
if not job_summary_file.exists():
logger.error(f"Job summary not found: {job_summary_file}")
return None
try:
with open(job_summary_file, "r") as f:
return json.load(f)
except Exception as e:
logger.error(f"Failed to load job summary: {e}")
return None
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def load_dataset_mapping(self) -> Dict[str, Any]:
"""Load dataset mapping information."""
mapping_file = self.work_dir / "metadata" / "dataset_mapping.json"
if mapping_file.exists():
try:
with open(mapping_file, "r") as f:
return json.load(f)
except Exception as e:
logger.warning(f"Failed to load dataset mapping: {e}")
return {}
def _find_latest_events_file(self) -> Optional[Path]:
"""Find the latest events file in the work directory."""
# Look for events files with timestamp pattern (events_*.jsonl)
events_files = list(self.work_dir.glob("events_*.jsonl"))
if events_files:
# Sort by modification time and return the latest
return max(events_files, key=lambda f: f.stat().st_mtime)
# Fallback to old naming convention for backward compatibility
fallback_file = self.work_dir / "events.jsonl"
return fallback_file if fallback_file.exists() else None
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def load_event_logs(self) -> List[Dict[str, Any]]:
"""Load and parse event logs."""
events_file = self._find_latest_events_file()
events = []
if events_file and events_file.exists():
try:
with open(events_file, "r") as f:
for line in f:
try:
events.append(json.loads(line.strip()))
except json.JSONDecodeError:
continue
except Exception as e:
logger.error(f"Failed to read events file: {e}")
else:
logger.warning(f"Events file not found: {events_file}")
return events
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def find_processes_by_ids(self, process_ids: Set[int]) -> List[psutil.Process]:
"""Find running processes by their PIDs."""
processes = []
current_pid = os.getpid()
for pid in process_ids:
if pid == current_pid:
logger.debug(f"Skipping current process PID {pid}")
continue
try:
proc = psutil.Process(pid)
if proc.is_running():
processes.append(proc)
logger.debug(f"Found running process PID {pid}")
else:
logger.debug(f"Process PID {pid} is not running")
except psutil.NoSuchProcess:
logger.debug(f"Process PID {pid} no longer exists")
except psutil.AccessDenied:
logger.warning(f"Access denied to process PID {pid}")
except Exception as e:
logger.warning(f"Error checking process PID {pid}: {e}")
return processes
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def find_threads_by_ids(self, thread_ids: Set[int]) -> List[threading.Thread]:
"""Find running threads by their IDs (if possible)."""
# Note: Python doesn't provide a direct way to enumerate all threads
# This is more of a placeholder for future implementation
logger.info(f"Thread termination not implemented yet. Found {len(thread_ids)} thread IDs")
return []
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def get_partition_status(self) -> Dict[int, Dict[str, Any]]:
"""Get current status of all partitions."""
dataset_mapping = self.load_dataset_mapping()
events = self.load_event_logs()
partition_status = {}
# Initialize from dataset mapping
if "partitions" in dataset_mapping:
for partition_info in dataset_mapping["partitions"]:
partition_id = partition_info["partition_id"]
partition_status[partition_id] = {
"status": partition_info.get("processing_status", "unknown"),
"sample_count": partition_info.get("sample_count", 0),
"start_time": partition_info.get("processing_start_time"),
"end_time": partition_info.get("processing_end_time"),
"error_message": partition_info.get("error_message"),
"current_op": None,
"completed_ops": [],
"checkpoints": [],
}
# Update from event logs
for event in events:
if "partition_id" in event:
partition_id = event["partition_id"]
if partition_id not in partition_status:
partition_status[partition_id] = {
"status": "unknown",
"sample_count": 0,
"start_time": None,
"end_time": None,
"error_message": None,
"current_op": None,
"completed_ops": [],
"checkpoints": [],
}
# Track partition start/complete
if event["event_type"] == "partition_start":
partition_status[partition_id]["start_time"] = event["timestamp"]
partition_status[partition_id]["status"] = "processing"
elif event["event_type"] == "partition_complete":
partition_status[partition_id]["end_time"] = event["timestamp"]
partition_status[partition_id]["status"] = "completed"
# Track operations
elif event["event_type"] == "op_start":
partition_status[partition_id]["current_op"] = {
"name": event.get("operation_name", "Unknown"),
"idx": event.get("operation_idx", 0),
"start_time": event["timestamp"],
}
elif event["event_type"] == "op_complete":
op_info = {
"name": event.get("operation_name", "Unknown"),
"idx": event.get("operation_idx", 0),
"duration": event.get("duration", 0),
"input_rows": event.get("input_rows", 0),
"output_rows": event.get("output_rows", 0),
"throughput": event.get("performance_metrics", {}).get("throughput", 0),
"reduction_ratio": event.get("performance_metrics", {}).get("reduction_ratio", 0),
}
partition_status[partition_id]["completed_ops"].append(op_info)
partition_status[partition_id]["current_op"] = None
# Track checkpoints
elif event["event_type"] == "checkpoint_save":
checkpoint_info = {
"operation_name": event.get("operation_name", "Unknown"),
"operation_idx": event.get("operation_idx", 0),
"checkpoint_path": event.get("checkpoint_path", ""),
"timestamp": event["timestamp"],
}
partition_status[partition_id]["checkpoints"].append(checkpoint_info)
return partition_status
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def calculate_overall_progress(self) -> Dict[str, Any]:
"""Calculate overall job progress."""
partition_status = self.get_partition_status()
job_summary = self.load_job_summary()
total_partitions = len(partition_status)
completed_partitions = sum(1 for p in partition_status.values() if p["status"] == "completed")
processing_partitions = sum(1 for p in partition_status.values() if p["status"] == "processing")
failed_partitions = sum(1 for p in partition_status.values() if p["status"] == "failed")
# Calculate total samples
total_samples = sum(p.get("sample_count", 0) for p in partition_status.values())
processed_samples = sum(
p.get("sample_count", 0) for p in partition_status.values() if p["status"] == "completed"
)
# Calculate progress percentage
progress_percentage = (completed_partitions / total_partitions * 100) if total_partitions > 0 else 0
# Calculate estimated time remaining
estimated_remaining = None
if job_summary and "start_time" in job_summary and completed_partitions > 0:
elapsed_time = time.time() - job_summary["start_time"]
if completed_partitions > 0:
avg_time_per_partition = elapsed_time / completed_partitions
remaining_partitions = total_partitions - completed_partitions
estimated_remaining = avg_time_per_partition * remaining_partitions
return {
"total_partitions": total_partitions,
"completed_partitions": completed_partitions,
"processing_partitions": processing_partitions,
"failed_partitions": failed_partitions,
"progress_percentage": progress_percentage,
"total_samples": total_samples,
"processed_samples": processed_samples,
"estimated_remaining_seconds": estimated_remaining,
"job_status": job_summary.get("status", "unknown") if job_summary else "unknown",
}
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def get_operation_pipeline(self) -> List[Dict[str, Any]]:
"""Get the operation pipeline from config."""
config_file = self.work_dir / "partition-checkpoint-eventlog.yaml"
if not config_file.exists():
return []
# Try to find process section in config
try:
with open(config_file, "r") as f:
content = f.read()
# Simple parsing for process section
operations = []
lines = content.split("\n")
in_process = False
for line in lines:
if line.strip().startswith("process:"):
in_process = True
continue
elif in_process and line.strip().startswith("-"):
# Extract operation name
op_line = line.strip()
if ":" in op_line:
op_name = op_line.split(":")[0].replace("- ", "").strip()
operations.append({"name": op_name, "config": {}})
return operations
except Exception as e:
logger.warning(f"Failed to parse operation pipeline: {e}")
return []
def _find_latest_events_file_in_dir(job_dir: Path) -> Optional[Path]:
"""Helper function to find the latest events file in a directory."""
# Look for events files with timestamp pattern (events_*.jsonl)
events_files = list(job_dir.glob("events_*.jsonl"))
if events_files:
# Sort by modification time and return the latest
return max(events_files, key=lambda f: f.stat().st_mtime)
# Fallback to old naming convention for backward compatibility
fallback_file = job_dir / "events.jsonl"
return fallback_file if fallback_file.exists() else None
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def list_running_jobs(base_dir: str = "outputs/partition-checkpoint-eventlog") -> List[Dict[str, Any]]:
"""List all DataJuicer jobs and their status."""
base_path = Path(base_dir)
if not base_path.exists():
return []
jobs = []
for job_dir in base_path.iterdir():
if job_dir.is_dir():
job_summary_file = job_dir / "job_summary.json"
if job_summary_file.exists():
try:
with open(job_summary_file, "r") as f:
job_summary = json.load(f)
# Check if processes are still running
events_file = _find_latest_events_file_in_dir(job_dir)
process_ids = set()
if events_file and events_file.exists():
try:
with open(events_file, "r") as f:
for line in f:
try:
event_data = json.loads(line.strip())
if "process_id" in event_data and event_data["process_id"] is not None:
process_ids.add(event_data["process_id"])
except json.JSONDecodeError:
continue
except Exception:
pass
# Count running processes
running_processes = 0
for pid in process_ids:
try:
if psutil.Process(pid).is_running():
running_processes += 1
except (psutil.NoSuchProcess, psutil.AccessDenied):
pass
jobs.append(
{
"job_id": job_dir.name,
"status": job_summary.get("status", "unknown"),
"start_time": job_summary.get("start_time"),
"processes": running_processes,
"work_dir": str(job_dir),
}
)
except Exception as e:
logger.warning(f"Failed to read job summary for {job_dir.name}: {e}")
return sorted(jobs, key=lambda x: x.get("start_time", 0) or 0, reverse=True)
