Fix compression job queue persistence and recovery after Docker restart

This commit ensures that compression jobs survive Docker container restarts
and are automatically recovered and restarted.

Changes:
- Modified CancelledError handler to preserve job status during shutdown
- Jobs now keep 'processing' or 'validating' status instead of being marked
  as 'cancelled' when the app shuts down
- Added job persistence layer using SQLite database
- Implemented automatic job recovery on application startup
- Added process cleanup utilities for orphaned ffmpeg processes
- User-initiated cancellations still properly mark jobs as cancelled
- Jobs are visible in frontend after recovery

The recovery system:
1. Detects interrupted jobs (processing/validating status)
2. Cleans up orphaned ffmpeg processes and temp files
3. Restarts interrupted jobs from beginning
4. Maintains queue order and respects concurrency limits
5. Works with multiple jobs in the queue

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Alihan
2025-10-19 02:57:04 +03:00
parent 80ca19cb4b
commit 92338df716
5 changed files with 755 additions and 18 deletions

View File

@@ -4,9 +4,11 @@ import uuid
import os
import re
import logging
import shutil
from pathlib import Path
from datetime import datetime
from typing import Dict, Optional
from job_persistence import JobPersistence
# Configure logging
logging.basicConfig(
@@ -30,8 +32,8 @@ MIN_VIDEO_BITRATE = 100 # kbps
class CompressionJob:
def __init__(self, file_path: str, reduce_percentage: int):
self.job_id = str(uuid.uuid4())
def __init__(self, file_path: str, reduce_percentage: int, job_id: Optional[str] = None):
self.job_id = job_id or str(uuid.uuid4())
self.file_path = file_path
self.reduce_percentage = reduce_percentage
self.status = "pending" # pending, processing, validating, completed, failed, cancelled
@@ -47,6 +49,59 @@ class CompressionJob:
self.target_size_mb = None
self.video_bitrate = None
self.duration_seconds = None
self.ffmpeg_pid = None # Track ffmpeg process PID
def to_dict(self) -> Dict:
"""Convert job to dictionary for database persistence"""
return {
'job_id': self.job_id,
'file_path': self.file_path,
'reduce_percentage': self.reduce_percentage,
'status': self.status,
'progress': self.progress,
'eta_seconds': self.eta_seconds,
'current_pass': self.current_pass,
'created_at': self.created_at,
'started_at': self.started_at,
'completed_at': self.completed_at,
'error': self.error,
'output_file': self.output_file,
'current_size_mb': self.current_size_mb,
'target_size_mb': self.target_size_mb,
'video_bitrate': self.video_bitrate,
'duration_seconds': self.duration_seconds,
'ffmpeg_pid': self.ffmpeg_pid
}
@classmethod
def from_dict(cls, data: Dict) -> 'CompressionJob':
"""Create job from database dictionary"""
job = cls(
file_path=data['file_path'],
reduce_percentage=data['reduce_percentage'],
job_id=data['job_id']
)
job.status = data.get('status', 'pending')
job.progress = data.get('progress', 0.0)
job.eta_seconds = data.get('eta_seconds')
job.current_pass = data.get('current_pass', 0)
job.error = data.get('error')
job.output_file = data.get('output_file')
job.current_size_mb = data.get('current_size_mb')
job.target_size_mb = data.get('target_size_mb')
job.video_bitrate = data.get('video_bitrate')
job.duration_seconds = data.get('duration_seconds')
job.ffmpeg_pid = data.get('ffmpeg_pid')
# Parse datetime strings back to datetime objects
for key in ['created_at', 'started_at', 'completed_at']:
if data.get(key):
if isinstance(data[key], str):
job.__dict__[key] = datetime.fromisoformat(data[key])
else:
job.__dict__[key] = data[key]
return job
class CompressionManager:
@@ -54,15 +109,36 @@ class CompressionManager:
TIME_PATTERN = re.compile(r'out_time_ms=(\d+)')
FPS_PATTERN = re.compile(r'fps=([\d.]+)')
def __init__(self, max_concurrent: int = 2, allowed_base_path: Optional[Path] = None, health_checker=None):
def __init__(self, max_concurrent: int = 2, allowed_base_path: Optional[Path] = None, health_checker=None, cache_invalidation_callback=None):
self.jobs: Dict[str, CompressionJob] = {}
self.active_jobs: Dict[str, asyncio.Task] = {}
self.semaphore = asyncio.Semaphore(max_concurrent)
self.allowed_base_path = allowed_base_path.resolve() if allowed_base_path else None
self.health_checker = health_checker
self.cache_invalidation_callback = cache_invalidation_callback
self._pruning_task: Optional[asyncio.Task] = None
self._jobs_lock = asyncio.Lock()
self._start_periodic_pruning()
self.persistence = JobPersistence()
self._pruning_started = False
async def initialize_persistence(self):
"""Initialize the persistence layer - call this on startup"""
await self.persistence.initialize()
logger.info("Job persistence initialized")
# Start periodic pruning (only once when persistence is initialized)
if not self._pruning_started:
self._start_periodic_pruning()
self._pruning_started = True
async def load_jobs_from_database(self):
"""Load all jobs from database into memory"""
async with self._jobs_lock:
jobs_data = await self.persistence.get_all_jobs()
for job_data in jobs_data:
job = CompressionJob.from_dict(job_data)
self.jobs[job.job_id] = job
logger.info(f"Loaded {len(jobs_data)} jobs from database")
async def get_video_info(self, file_path: str) -> Dict:
"""Extract video duration and file size using ffprobe"""
@@ -106,6 +182,7 @@ class CompressionManager:
try:
job.status = "processing"
job.started_at = datetime.now()
await self.persistence.save_job(job.to_dict())
# Get video information
info = await self.get_video_info(job.file_path)
@@ -125,6 +202,29 @@ class CompressionManager:
f"Duration: {job.duration_seconds}s, "
f"Video Bitrate: {job.video_bitrate} kbps")
# Check disk space BEFORE starting compression
file_path = Path(job.file_path)
disk_usage = shutil.disk_usage(file_path.parent)
# Estimate required space: temp file + original + safety margin (1.5x original)
required_bytes = (job.current_size_mb * 1024 * 1024) * 1.5
available_bytes = disk_usage.free
if available_bytes < required_bytes:
required_gb = required_bytes / (1024**3)
available_gb = available_bytes / (1024**3)
error_msg = (
f"Insufficient disk space: need {required_gb:.1f}GB, "
f"have {available_gb:.1f}GB available"
)
logger.error(f"Job {job.job_id}: {error_msg}")
raise ValueError(error_msg)
logger.info(
f"Job {job.job_id}: Disk space check passed "
f"(need {required_bytes/(1024**3):.1f}GB, have {available_bytes/(1024**3):.1f}GB)"
)
# Generate output filename (use original path for in-place replacement)
file_path = Path(job.file_path)
temp_file = file_path.parent / f"temp_{file_path.name}"
@@ -148,6 +248,7 @@ class CompressionManager:
# SAFE FILE REPLACEMENT WITH VALIDATION
job.status = "validating"
job.progress = 95.0
await self.persistence.update_job_status(job.job_id, "validating", progress=95.0)
logger.info(f"Job {job.job_id}: Starting safe file replacement process")
if await self.safe_replace_file(file_path, temp_file, job):
@@ -155,21 +256,31 @@ class CompressionManager:
job.status = "completed"
job.progress = 100.0
job.completed_at = datetime.now()
job.ffmpeg_pid = None # Clear PID on completion
await self.persistence.save_job(job.to_dict())
self.cleanup_temp_files(job)
logger.info(f"Job {job.job_id} completed successfully - original file replaced in-place")
else:
job.status = "failed"
job.error = "File replacement failed or validation check failed"
await self.persistence.update_job_status(job.job_id, "failed", error=job.error)
self.cleanup_temp_files(job)
logger.error(f"Job {job.job_id} failed - file replacement unsuccessful")
except asyncio.CancelledError:
job.status = "cancelled"
# Don't mark as cancelled - could be app shutdown
# Keep current status so job can be recovered on restart
job.ffmpeg_pid = None # Clear PID since process won't survive
# Don't update database status - leave it as "processing" or "validating"
# for recovery on restart
self.cleanup_temp_files(job)
logger.info(f"Job {job.job_id} cancelled")
logger.info(f"Job {job.job_id} interrupted (task cancelled)")
raise # Re-raise to properly cancel the task
except Exception as e:
job.status = "failed"
job.error = str(e)
job.ffmpeg_pid = None # Clear PID on failure
await self.persistence.update_job_status(job.job_id, "failed", error=str(e))
self.cleanup_temp_files(job)
logger.error(f"Job {job.job_id} failed: {e}", exc_info=True)
@@ -215,15 +326,25 @@ class CompressionManager:
limit=STDERR_READ_LIMIT # Set buffer limit to prevent overflow
)
# Track PID for first pass only (second pass uses same job)
if pass_num == 1 and process.pid:
job.ffmpeg_pid = process.pid
await self.persistence.set_ffmpeg_pid(job.job_id, process.pid)
logger.info(f"Job {job.job_id}: ffmpeg PID {process.pid} tracked")
# Progress tracking
stderr_output = []
last_progress_update = datetime.now()
last_progress_update = None # Initialize as None, will be set when FFmpeg starts producing output
async def read_stdout():
"""Read and process stdout for progress updates"""
nonlocal last_progress_update
try:
async for line in process.stdout:
# Initialize timer on first progress update from FFmpeg
if last_progress_update is None:
last_progress_update = datetime.now()
logger.info(f"Job {job.job_id}: FFmpeg started producing output, watchdog timer initialized")
if job.status == "cancelled":
process.kill()
return
@@ -258,6 +379,16 @@ class CompressionManager:
else:
remaining_sec = remaining_sec_current_pass
job.eta_seconds = int(remaining_sec)
# Periodically save progress to database (every ~5% or 30 seconds)
# Use modulo to reduce DB writes
if int(job.progress) % 5 == 0:
await self.persistence.update_job_progress(
job.job_id,
job.progress,
job.eta_seconds,
job.current_pass
)
except Exception as e:
logger.error(f"Error reading stdout: {e}")
@@ -288,14 +419,16 @@ class CompressionManager:
process.kill()
return
time_since_update = (datetime.now() - last_progress_update).total_seconds()
if time_since_update > WATCHDOG_TIMEOUT_SECONDS:
error_msg = f"Job stuck at {job.progress:.1f}% - no progress for {time_since_update:.0f} seconds. Process killed by watchdog."
logger.error(f"Watchdog: {error_msg}")
job.status = "failed"
job.error = error_msg
process.kill()
raise Exception(error_msg)
# Only check timeout if FFmpeg has started producing output
if last_progress_update is not None:
time_since_update = (datetime.now() - last_progress_update).total_seconds()
if time_since_update > WATCHDOG_TIMEOUT_SECONDS:
error_msg = f"Job stuck at {job.progress:.1f}% - no progress for {time_since_update:.0f} seconds. Process killed by watchdog."
logger.error(f"Watchdog: {error_msg}")
job.status = "failed"
job.error = error_msg
process.kill()
raise Exception(error_msg)
await asyncio.sleep(WATCHDOG_CHECK_INTERVAL)
@@ -452,6 +585,16 @@ class CompressionManager:
except Exception as e:
logger.warning(f"Failed to delete backup file (non-critical): {e}")
# Step 5: Invalidate cache for this directory to show updated file size
if self.cache_invalidation_callback:
try:
# Invalidate all cache entries containing the parent directory path
parent_name = original_path.parent.name
self.cache_invalidation_callback(parent_name)
logger.info(f"Cache invalidated for directory: {parent_name}")
except Exception as e:
logger.warning(f"Failed to invalidate cache (non-critical): {e}")
return True
except Exception as e:
@@ -560,6 +703,9 @@ class CompressionManager:
job = CompressionJob(file_path, reduce_percentage)
self.jobs[job.job_id] = job
# Save initial job to database
await self.persistence.save_job(job.to_dict())
# Start compression in background
task = asyncio.create_task(self.compress_video(job))
self.active_jobs[job.job_id] = task
@@ -570,9 +716,11 @@ class CompressionManager:
return job.job_id
async def cancel_job(self, job_id: str):
"""Cancel a running compression job"""
"""Cancel a running compression job (user-initiated)"""
if job_id in self.jobs:
self.jobs[job_id].status = "cancelled"
# Save cancelled status to database (user-initiated cancellation)
await self.persistence.update_job_status(job_id, "cancelled")
if job_id in self.active_jobs:
self.active_jobs[job_id].cancel()

243
backend/job_persistence.py Normal file
View File

@@ -0,0 +1,243 @@
import sqlite3
import asyncio
import logging
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Optional, Any
from contextlib import asynccontextmanager
import aiosqlite
import os
logger = logging.getLogger(__name__)
# Database configuration from environment
DATABASE_PATH = os.getenv('JOB_DATABASE_PATH', '/footages/.compression_jobs.db')
JOB_RETENTION_DAYS = int(os.getenv('JOB_RETENTION_DAYS', '7'))
class JobPersistence:
"""SQLite-based persistence layer for compression jobs"""
def __init__(self, db_path: str = DATABASE_PATH):
self.db_path = db_path
self._initialized = False
self._lock = asyncio.Lock()
async def initialize(self):
"""Initialize database schema"""
if self._initialized:
return
async with self._lock:
if self._initialized:
return
# Ensure directory exists
db_dir = Path(self.db_path).parent
db_dir.mkdir(parents=True, exist_ok=True)
async with aiosqlite.connect(self.db_path) as db:
await db.execute("""
CREATE TABLE IF NOT EXISTS compression_jobs (
job_id TEXT PRIMARY KEY,
file_path TEXT NOT NULL,
reduce_percentage INTEGER NOT NULL,
status TEXT NOT NULL,
progress REAL DEFAULT 0.0,
current_pass INTEGER DEFAULT 0,
current_size_mb REAL,
target_size_mb REAL,
video_bitrate INTEGER,
duration_seconds REAL,
eta_seconds INTEGER,
created_at TIMESTAMP NOT NULL,
started_at TIMESTAMP,
completed_at TIMESTAMP,
output_file TEXT,
error TEXT,
ffmpeg_pid INTEGER
)
""")
# Create indexes for performance
await db.execute("""
CREATE INDEX IF NOT EXISTS idx_status
ON compression_jobs(status)
""")
await db.execute("""
CREATE INDEX IF NOT EXISTS idx_created_at
ON compression_jobs(created_at)
""")
await db.commit()
self._initialized = True
logger.info(f"Job persistence initialized at {self.db_path}")
async def save_job(self, job_data: Dict[str, Any]):
"""Insert or update a job in the database"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
# Convert datetime objects to ISO format strings
job_data_copy = job_data.copy()
for key in ['created_at', 'started_at', 'completed_at']:
if key in job_data_copy and job_data_copy[key]:
if isinstance(job_data_copy[key], datetime):
job_data_copy[key] = job_data_copy[key].isoformat()
await db.execute("""
INSERT OR REPLACE INTO compression_jobs (
job_id, file_path, reduce_percentage, status, progress,
current_pass, current_size_mb, target_size_mb, video_bitrate,
duration_seconds, eta_seconds, created_at, started_at,
completed_at, output_file, error, ffmpeg_pid
) VALUES (
:job_id, :file_path, :reduce_percentage, :status, :progress,
:current_pass, :current_size_mb, :target_size_mb, :video_bitrate,
:duration_seconds, :eta_seconds, :created_at, :started_at,
:completed_at, :output_file, :error, :ffmpeg_pid
)
""", job_data_copy)
await db.commit()
async def update_job_status(self, job_id: str, status: str,
progress: Optional[float] = None,
error: Optional[str] = None):
"""Quick update for job status and progress"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
updates = {"status": status}
if progress is not None:
updates["progress"] = progress
if error is not None:
updates["error"] = error
# Set completed_at for terminal states
if status in ['completed', 'failed', 'cancelled']:
updates["completed_at"] = datetime.now().isoformat()
set_clause = ", ".join([f"{k} = :{k}" for k in updates.keys()])
query = f"UPDATE compression_jobs SET {set_clause} WHERE job_id = :job_id"
await db.execute(query, {**updates, "job_id": job_id})
await db.commit()
async def update_job_progress(self, job_id: str, progress: float,
eta_seconds: Optional[int] = None,
current_pass: Optional[int] = None):
"""Update job progress and ETA"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
updates = {"progress": progress}
if eta_seconds is not None:
updates["eta_seconds"] = eta_seconds
if current_pass is not None:
updates["current_pass"] = current_pass
set_clause = ", ".join([f"{k} = :{k}" for k in updates.keys()])
query = f"UPDATE compression_jobs SET {set_clause} WHERE job_id = :job_id"
await db.execute(query, {**updates, "job_id": job_id})
await db.commit()
async def set_ffmpeg_pid(self, job_id: str, pid: int):
"""Update the ffmpeg PID for a job"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
await db.execute(
"UPDATE compression_jobs SET ffmpeg_pid = ? WHERE job_id = ?",
(pid, job_id)
)
await db.commit()
async def get_job(self, job_id: str) -> Optional[Dict[str, Any]]:
"""Get a single job by ID"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
db.row_factory = aiosqlite.Row
async with db.execute(
"SELECT * FROM compression_jobs WHERE job_id = ?",
(job_id,)
) as cursor:
row = await cursor.fetchone()
if row:
return dict(row)
return None
async def get_all_jobs(self) -> List[Dict[str, Any]]:
"""Get all jobs from the database"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
db.row_factory = aiosqlite.Row
async with db.execute(
"SELECT * FROM compression_jobs ORDER BY created_at DESC"
) as cursor:
rows = await cursor.fetchall()
return [dict(row) for row in rows]
async def get_jobs_by_status(self, status: str) -> List[Dict[str, Any]]:
"""Get all jobs with a specific status"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
db.row_factory = aiosqlite.Row
async with db.execute(
"SELECT * FROM compression_jobs WHERE status = ? ORDER BY created_at ASC",
(status,)
) as cursor:
rows = await cursor.fetchall()
return [dict(row) for row in rows]
async def get_interrupted_jobs(self) -> List[Dict[str, Any]]:
"""Get jobs that were interrupted (status=processing/validating)"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
db.row_factory = aiosqlite.Row
async with db.execute(
"""SELECT * FROM compression_jobs
WHERE status IN ('processing', 'validating')
ORDER BY created_at ASC"""
) as cursor:
rows = await cursor.fetchall()
return [dict(row) for row in rows]
async def delete_job(self, job_id: str):
"""Delete a job from the database"""
await self.initialize()
async with aiosqlite.connect(self.db_path) as db:
await db.execute(
"DELETE FROM compression_jobs WHERE job_id = ?",
(job_id,)
)
await db.commit()
async def cleanup_old_jobs(self, retention_days: int = JOB_RETENTION_DAYS):
"""Delete completed/cancelled jobs older than retention period"""
await self.initialize()
cutoff_date = datetime.now().timestamp() - (retention_days * 24 * 60 * 60)
cutoff_iso = datetime.fromtimestamp(cutoff_date).isoformat()
async with aiosqlite.connect(self.db_path) as db:
result = await db.execute("""
DELETE FROM compression_jobs
WHERE status IN ('completed', 'cancelled')
AND completed_at < ?
""", (cutoff_iso,))
deleted_count = result.rowcount
await db.commit()
if deleted_count > 0:
logger.info(f"Cleaned up {deleted_count} old jobs (older than {retention_days} days)")
return deleted_count

View File

@@ -16,6 +16,11 @@ import mimetypes
from sse_starlette.sse import EventSourceResponse
from compression import CompressionManager
from filesystem_health import FilesystemHealthChecker
from process_utils import (
kill_process_safely,
cleanup_temp_files,
find_orphaned_ffmpeg_processes
)
# Configure logging
logger = logging.getLogger(__name__)
@@ -27,6 +32,10 @@ STREAM_CHUNK_SIZE = 1024 * 1024 # 1MB chunks for video streaming
SSE_UPDATE_INTERVAL = 0.5 # Update every 500ms
CACHE_TTL_SECONDS = 60 # Cache directory listings for 60 seconds
# Job recovery configuration
AUTO_RESTART_INTERRUPTED_JOBS = os.getenv('AUTO_RESTART_INTERRUPTED_JOBS', 'true').lower() == 'true'
CLEANUP_ORPHANED_PROCESSES = os.getenv('CLEANUP_ORPHANED_PROCESSES', 'true').lower() == 'true'
# Base path for footages
FOOTAGES_PATH = Path("/footages")
@@ -51,16 +60,26 @@ class SimpleCache:
def clear(self):
self.cache.clear()
def invalidate(self, pattern: str = None):
"""Invalidate cache entries matching pattern or all if pattern is None"""
if pattern is None:
self.cache.clear()
else:
keys_to_delete = [k for k in self.cache.keys() if pattern in k]
for key in keys_to_delete:
del self.cache[key]
directory_cache = SimpleCache()
# Initialize filesystem health checker first (compression manager needs it)
filesystem_health_checker = FilesystemHealthChecker(FOOTAGES_PATH)
# Initialize compression manager with health checker
# Initialize compression manager with health checker and cache callback
compression_manager = CompressionManager(
max_concurrent=1,
allowed_base_path=FOOTAGES_PATH,
health_checker=filesystem_health_checker
health_checker=filesystem_health_checker,
cache_invalidation_callback=directory_cache.invalidate
)
# CORS middleware for frontend communication
@@ -96,6 +115,116 @@ async def get_file_info(file_path: Path) -> Dict:
}
async def recover_compression_jobs():
"""
Recover compression jobs from database after app restart/crash
This function:
1. Loads all jobs from database
2. Handles interrupted jobs (processing/validating)
3. Cleans up orphaned ffmpeg processes
4. Restarts pending jobs automatically
"""
logger.info("=" * 60)
logger.info("Starting compression job recovery...")
logger.info("=" * 60)
# Initialize persistence layer
await compression_manager.initialize_persistence()
# Load all jobs from database
await compression_manager.load_jobs_from_database()
# Get interrupted jobs (were processing when app crashed)
interrupted_jobs = await compression_manager.persistence.get_interrupted_jobs()
if interrupted_jobs:
logger.info(f"Found {len(interrupted_jobs)} interrupted jobs")
for job_data in interrupted_jobs:
job_id = job_data['job_id']
file_path = job_data['file_path']
ffmpeg_pid = job_data.get('ffmpeg_pid')
logger.info(f"Processing interrupted job {job_id}: {Path(file_path).name}")
# Kill orphaned ffmpeg process if it exists and is verified as ours
if ffmpeg_pid and CLEANUP_ORPHANED_PROCESSES:
killed = kill_process_safely(ffmpeg_pid, file_path, timeout=10)
if killed:
logger.info(f" ✓ Killed orphaned ffmpeg process PID {ffmpeg_pid}")
else:
logger.warning(f" ⚠ Could not verify/kill PID {ffmpeg_pid}")
# Clean up temp files
cleaned = cleanup_temp_files(file_path)
if cleaned > 0:
logger.info(f" ✓ Cleaned up {cleaned} temp file(s)")
# Decide what to do with interrupted job
if AUTO_RESTART_INTERRUPTED_JOBS:
# Restart the job
logger.info(f" ⟳ Restarting interrupted job...")
await compression_manager.persistence.update_job_status(
job_id, "pending", progress=0.0
)
# Update in-memory job status
if job_id in compression_manager.jobs:
compression_manager.jobs[job_id].status = "pending"
compression_manager.jobs[job_id].progress = 0.0
compression_manager.jobs[job_id].ffmpeg_pid = None
else:
# Mark as failed
logger.info(f" ✗ Marking as failed (auto-restart disabled)")
await compression_manager.persistence.update_job_status(
job_id, "failed",
error="Job interrupted by application restart/crash"
)
# Update in-memory job status
if job_id in compression_manager.jobs:
compression_manager.jobs[job_id].status = "failed"
compression_manager.jobs[job_id].error = "Job interrupted by application restart/crash"
compression_manager.jobs[job_id].ffmpeg_pid = None
else:
logger.info("No interrupted jobs found")
# Get pending jobs
pending_jobs = await compression_manager.persistence.get_jobs_by_status("pending")
if pending_jobs:
logger.info(f"Found {len(pending_jobs)} pending jobs - will be processed automatically")
# Restart pending jobs
for job_data in pending_jobs:
job_id = job_data['job_id']
if job_id in compression_manager.jobs:
job = compression_manager.jobs[job_id]
# Only restart if not already in active jobs
if job_id not in compression_manager.active_jobs:
logger.info(f" ⟳ Restarting pending job: {Path(job.file_path).name}")
task = asyncio.create_task(compression_manager.compress_video(job))
compression_manager.active_jobs[job_id] = task
task.add_done_callback(lambda t: compression_manager.active_jobs.pop(job_id, None))
else:
logger.info("No pending jobs to restart")
# Optional: Find any other orphaned ffmpeg processes in our path
if CLEANUP_ORPHANED_PROCESSES:
orphaned = find_orphaned_ffmpeg_processes(FOOTAGES_PATH)
if orphaned:
logger.warning(f"Found {len(orphaned)} untracked ffmpeg processes in our path:")
for proc in orphaned:
logger.warning(f" PID {proc['pid']}: {proc['cmdline'][:100]}...")
logger.warning(f" ⚠ NOT killing (not in our database) - manual review recommended")
# Clean up old completed/cancelled jobs
deleted = await compression_manager.persistence.cleanup_old_jobs()
logger.info("=" * 60)
logger.info("Compression job recovery complete")
logger.info("=" * 60)
@app.on_event("startup")
async def startup_event():
"""Run startup tasks"""
@@ -112,6 +241,10 @@ async def startup_event():
# Start background monitoring
filesystem_health_checker.start_monitoring()
# Recover compression jobs from database
await recover_compression_jobs()
logger.info("Application startup complete")

211
backend/process_utils.py Normal file
View File

@@ -0,0 +1,211 @@
import psutil
import logging
from pathlib import Path
from typing import Optional, List
logger = logging.getLogger(__name__)
def process_exists(pid: int) -> bool:
"""Check if a process with given PID exists"""
try:
return psutil.pid_exists(pid)
except Exception as e:
logger.error(f"Error checking if PID {pid} exists: {e}")
return False
def get_process_info(pid: int) -> Optional[dict]:
"""Get detailed information about a process"""
try:
proc = psutil.Process(pid)
return {
'pid': pid,
'name': proc.name(),
'cmdline': proc.cmdline(),
'cwd': proc.cwd(),
'status': proc.status(),
'create_time': proc.create_time()
}
except psutil.NoSuchProcess:
return None
except Exception as e:
logger.error(f"Error getting process info for PID {pid}: {e}")
return None
def is_our_ffmpeg_process(pid: int, expected_file_path: str) -> bool:
"""
Verify if a process is our ffmpeg process by checking:
1. Process name is ffmpeg
2. Command line contains our input file path
3. Working directory is accessible
Args:
pid: Process ID to check
expected_file_path: The file path this ffmpeg should be processing
Returns:
True if verified as our ffmpeg process, False otherwise
"""
try:
proc = psutil.Process(pid)
# Check 1: Process name must be ffmpeg
process_name = proc.name().lower()
if 'ffmpeg' not in process_name:
logger.debug(f"PID {pid}: Not an ffmpeg process (name: {process_name})")
return False
# Check 2: Command line must contain our file path
cmdline = proc.cmdline()
cmdline_str = ' '.join(cmdline)
# The file path should appear in the command line
if expected_file_path not in cmdline_str:
logger.debug(f"PID {pid}: File path '{expected_file_path}' not in command line")
return False
# Check 3: Should have -i flag (input file) and -progress flag (our marker)
has_input_flag = '-i' in cmdline
has_progress_flag = '-progress' in cmdline or 'progress' in cmdline_str
if not (has_input_flag and has_progress_flag):
logger.debug(f"PID {pid}: Missing expected ffmpeg flags")
return False
logger.info(f"PID {pid}: Verified as our ffmpeg process for '{expected_file_path}'")
return True
except psutil.NoSuchProcess:
logger.debug(f"PID {pid}: Process no longer exists")
return False
except psutil.AccessDenied:
logger.warning(f"PID {pid}: Access denied - cannot verify (won't kill)")
return False
except Exception as e:
logger.error(f"Error verifying PID {pid}: {e}")
return False
def kill_process_safely(pid: int, expected_file_path: str, timeout: int = 10) -> bool:
"""
Safely kill a process after verification
Args:
pid: Process ID to kill
expected_file_path: Expected file path to verify against
timeout: Seconds to wait for graceful termination
Returns:
True if process was killed successfully, False otherwise
"""
# Double-check verification before killing
if not is_our_ffmpeg_process(pid, expected_file_path):
logger.warning(f"PID {pid}: Failed verification - NOT killing for safety")
return False
try:
proc = psutil.Process(pid)
# Try graceful termination first (SIGTERM)
logger.info(f"PID {pid}: Sending SIGTERM for graceful shutdown")
proc.terminate()
try:
# Wait for process to terminate
proc.wait(timeout=timeout)
logger.info(f"PID {pid}: Process terminated gracefully")
return True
except psutil.TimeoutExpired:
# Force kill if graceful shutdown failed (SIGKILL)
logger.warning(f"PID {pid}: Graceful shutdown timed out, sending SIGKILL")
proc.kill()
proc.wait(timeout=5)
logger.info(f"PID {pid}: Process force killed")
return True
except psutil.NoSuchProcess:
logger.info(f"PID {pid}: Process already terminated")
return True
except Exception as e:
logger.error(f"Error killing PID {pid}: {e}")
return False
def cleanup_temp_files(file_path: str) -> int:
"""
Clean up temporary files associated with a compression job
Args:
file_path: Original video file path
Returns:
Number of files cleaned up
"""
cleaned_count = 0
file_path_obj = Path(file_path)
parent_dir = file_path_obj.parent
try:
# Clean up temp file: temp_<filename>
temp_file = parent_dir / f"temp_{file_path_obj.name}"
if temp_file.exists():
temp_file.unlink()
logger.info(f"Cleaned up temp file: {temp_file.name}")
cleaned_count += 1
# Clean up ffmpeg pass log file
log_file = parent_dir / "ffmpeg2pass-0.log"
if log_file.exists():
log_file.unlink()
logger.info(f"Cleaned up ffmpeg log: {log_file.name}")
cleaned_count += 1
# Also check for mbtree file (created by x264)
mbtree_file = parent_dir / "ffmpeg2pass-0.log.mbtree"
if mbtree_file.exists():
mbtree_file.unlink()
logger.info(f"Cleaned up mbtree file: {mbtree_file.name}")
cleaned_count += 1
except Exception as e:
logger.error(f"Error cleaning up temp files for {file_path}: {e}")
return cleaned_count
def find_orphaned_ffmpeg_processes(allowed_base_path: Path) -> List[dict]:
"""
Find all ffmpeg processes that are working on files within our base path
This helps identify potential orphaned processes
Args:
allowed_base_path: Base path where our videos are stored
Returns:
List of process info dicts
"""
orphaned = []
allowed_path_str = str(allowed_base_path.resolve())
try:
for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
try:
if proc.info['name'] and 'ffmpeg' in proc.info['name'].lower():
cmdline = proc.info.get('cmdline', [])
cmdline_str = ' '.join(cmdline) if cmdline else ''
# Check if this ffmpeg is working on a file in our path
if allowed_path_str in cmdline_str:
orphaned.append({
'pid': proc.info['pid'],
'cmdline': cmdline_str,
'name': proc.info['name']
})
except (psutil.NoSuchProcess, psutil.AccessDenied):
continue
except Exception as e:
logger.error(f"Error finding orphaned processes: {e}")
return orphaned

View File

@@ -3,3 +3,5 @@ uvicorn[standard]==0.27.0
python-multipart==0.0.6
aiofiles==23.2.1
sse-starlette==1.6.5
aiosqlite==0.19.0
psutil==5.9.8