mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 05:32:12 -03:00
74507cef05
fix(usage_stats): handle initialization errors for usage statistics when no valid paths are configured, fixes #375
378 lines
16 KiB
Python
378 lines
16 KiB
Python
import os
|
|
import json
|
|
import sys
|
|
import time
|
|
import asyncio
|
|
import logging
|
|
import datetime
|
|
import shutil
|
|
from typing import Dict, Set
|
|
|
|
from ..config import config
|
|
from ..services.service_registry import ServiceRegistry
|
|
|
|
# Check if running in standalone mode
|
|
standalone_mode = 'nodes' not in sys.modules
|
|
|
|
if not standalone_mode:
|
|
from ..metadata_collector.metadata_registry import MetadataRegistry
|
|
from ..metadata_collector.constants import MODELS, LORAS
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
class UsageStats:
|
|
"""Track usage statistics for models and save to JSON"""
|
|
|
|
_instance = None
|
|
_lock = asyncio.Lock() # For thread safety
|
|
|
|
# Default stats file name
|
|
STATS_FILENAME = "lora_manager_stats.json"
|
|
BACKUP_SUFFIX = ".backup"
|
|
|
|
def __new__(cls):
|
|
if cls._instance is None:
|
|
cls._instance = super().__new__(cls)
|
|
cls._instance._initialized = False
|
|
return cls._instance
|
|
|
|
def __init__(self):
|
|
if self._initialized:
|
|
return
|
|
|
|
# Initialize stats storage
|
|
self.stats = {
|
|
"checkpoints": {}, # sha256 -> { total: count, history: { date: count } }
|
|
"loras": {}, # sha256 -> { total: count, history: { date: count } }
|
|
"total_executions": 0,
|
|
"last_save_time": 0
|
|
}
|
|
|
|
# Queue for prompt_ids to process
|
|
self.pending_prompt_ids = set()
|
|
|
|
# Load existing stats if available
|
|
self._stats_file_path = self._get_stats_file_path()
|
|
self._load_stats()
|
|
|
|
# Save interval in seconds
|
|
self.save_interval = 90 # 1.5 minutes
|
|
|
|
# Start background task to process queued prompt_ids
|
|
self._bg_task = asyncio.create_task(self._background_processor())
|
|
|
|
self._initialized = True
|
|
logger.info("Usage statistics tracker initialized")
|
|
|
|
def _get_stats_file_path(self) -> str:
|
|
"""Get the path to the stats JSON file"""
|
|
if not config.loras_roots or len(config.loras_roots) == 0:
|
|
# If no lora roots are available, we can't save stats
|
|
# This will be handled by the caller
|
|
raise RuntimeError("No LoRA root directories configured. Cannot initialize usage statistics.")
|
|
|
|
# Use the first lora root
|
|
return os.path.join(config.loras_roots[0], self.STATS_FILENAME)
|
|
|
|
def _backup_old_stats(self):
|
|
"""Backup the old stats file before conversion"""
|
|
if os.path.exists(self._stats_file_path):
|
|
backup_path = f"{self._stats_file_path}{self.BACKUP_SUFFIX}"
|
|
try:
|
|
shutil.copy2(self._stats_file_path, backup_path)
|
|
logger.info(f"Backed up old stats file to {backup_path}")
|
|
return True
|
|
except Exception as e:
|
|
logger.error(f"Failed to backup stats file: {e}")
|
|
return False
|
|
|
|
def _convert_old_format(self, old_stats):
|
|
"""Convert old stats format to new format with history"""
|
|
new_stats = {
|
|
"checkpoints": {},
|
|
"loras": {},
|
|
"total_executions": old_stats.get("total_executions", 0),
|
|
"last_save_time": old_stats.get("last_save_time", time.time())
|
|
}
|
|
|
|
# Get today's date in YYYY-MM-DD format
|
|
today = datetime.datetime.now().strftime("%Y-%m-%d")
|
|
|
|
# Convert checkpoint stats
|
|
if "checkpoints" in old_stats and isinstance(old_stats["checkpoints"], dict):
|
|
for hash_id, count in old_stats["checkpoints"].items():
|
|
new_stats["checkpoints"][hash_id] = {
|
|
"total": count,
|
|
"history": {
|
|
today: count
|
|
}
|
|
}
|
|
|
|
# Convert lora stats
|
|
if "loras" in old_stats and isinstance(old_stats["loras"], dict):
|
|
for hash_id, count in old_stats["loras"].items():
|
|
new_stats["loras"][hash_id] = {
|
|
"total": count,
|
|
"history": {
|
|
today: count
|
|
}
|
|
}
|
|
|
|
logger.info("Successfully converted stats from old format to new format with history")
|
|
return new_stats
|
|
|
|
def _is_old_format(self, stats):
|
|
"""Check if the stats are in the old format (direct count values)"""
|
|
# Check if any lora or checkpoint entry is a direct number instead of an object
|
|
if "loras" in stats and isinstance(stats["loras"], dict):
|
|
for hash_id, data in stats["loras"].items():
|
|
if isinstance(data, (int, float)):
|
|
return True
|
|
|
|
if "checkpoints" in stats and isinstance(stats["checkpoints"], dict):
|
|
for hash_id, data in stats["checkpoints"].items():
|
|
if isinstance(data, (int, float)):
|
|
return True
|
|
|
|
return False
|
|
|
|
def _load_stats(self):
|
|
"""Load existing statistics from file"""
|
|
try:
|
|
if os.path.exists(self._stats_file_path):
|
|
with open(self._stats_file_path, 'r', encoding='utf-8') as f:
|
|
loaded_stats = json.load(f)
|
|
|
|
# Check if old format and needs conversion
|
|
if self._is_old_format(loaded_stats):
|
|
logger.info("Detected old stats format, performing conversion")
|
|
self._backup_old_stats()
|
|
self.stats = self._convert_old_format(loaded_stats)
|
|
else:
|
|
# Update our stats with loaded data (already in new format)
|
|
if isinstance(loaded_stats, dict):
|
|
# Update individual sections to maintain structure
|
|
if "checkpoints" in loaded_stats and isinstance(loaded_stats["checkpoints"], dict):
|
|
self.stats["checkpoints"] = loaded_stats["checkpoints"]
|
|
|
|
if "loras" in loaded_stats and isinstance(loaded_stats["loras"], dict):
|
|
self.stats["loras"] = loaded_stats["loras"]
|
|
|
|
if "total_executions" in loaded_stats:
|
|
self.stats["total_executions"] = loaded_stats["total_executions"]
|
|
|
|
if "last_save_time" in loaded_stats:
|
|
self.stats["last_save_time"] = loaded_stats["last_save_time"]
|
|
|
|
logger.info(f"Loaded usage statistics from {self._stats_file_path}")
|
|
except Exception as e:
|
|
logger.error(f"Error loading usage statistics: {e}")
|
|
|
|
async def save_stats(self, force=False):
|
|
"""Save statistics to file"""
|
|
try:
|
|
# Only save if it's been at least save_interval since last save or force is True
|
|
current_time = time.time()
|
|
if not force and (current_time - self.stats.get("last_save_time", 0)) < self.save_interval:
|
|
return False
|
|
|
|
# Use a lock to prevent concurrent writes
|
|
async with self._lock:
|
|
# Update last save time
|
|
self.stats["last_save_time"] = current_time
|
|
|
|
# Create directory if it doesn't exist
|
|
os.makedirs(os.path.dirname(self._stats_file_path), exist_ok=True)
|
|
|
|
# Write to a temporary file first, then move it to avoid corruption
|
|
temp_path = f"{self._stats_file_path}.tmp"
|
|
with open(temp_path, 'w', encoding='utf-8') as f:
|
|
json.dump(self.stats, f, indent=2, ensure_ascii=False)
|
|
|
|
# Replace the old file with the new one
|
|
os.replace(temp_path, self._stats_file_path)
|
|
|
|
logger.debug(f"Saved usage statistics to {self._stats_file_path}")
|
|
return True
|
|
except Exception as e:
|
|
logger.error(f"Error saving usage statistics: {e}", exc_info=True)
|
|
return False
|
|
|
|
def register_execution(self, prompt_id):
|
|
"""Register a completed execution by prompt_id for later processing"""
|
|
if prompt_id:
|
|
self.pending_prompt_ids.add(prompt_id)
|
|
|
|
async def _background_processor(self):
|
|
"""Background task to process queued prompt_ids"""
|
|
try:
|
|
while True:
|
|
# Wait a short interval before checking for new prompt_ids
|
|
await asyncio.sleep(5) # Check every 5 seconds
|
|
|
|
# Process any pending prompt_ids
|
|
if self.pending_prompt_ids:
|
|
async with self._lock:
|
|
# Get a copy of the set and clear original
|
|
prompt_ids = self.pending_prompt_ids.copy()
|
|
self.pending_prompt_ids.clear()
|
|
|
|
# Process each prompt_id
|
|
registry = MetadataRegistry()
|
|
for prompt_id in prompt_ids:
|
|
try:
|
|
metadata = registry.get_metadata(prompt_id)
|
|
await self._process_metadata(metadata)
|
|
except Exception as e:
|
|
logger.error(f"Error processing prompt_id {prompt_id}: {e}")
|
|
|
|
# Periodically save stats
|
|
await self.save_stats()
|
|
except asyncio.CancelledError:
|
|
# Task was cancelled, clean up
|
|
await self.save_stats(force=True)
|
|
except Exception as e:
|
|
logger.error(f"Error in background processing task: {e}", exc_info=True)
|
|
# Restart the task after a delay if it fails
|
|
asyncio.create_task(self._restart_background_task())
|
|
|
|
async def _restart_background_task(self):
|
|
"""Restart the background task after a delay"""
|
|
await asyncio.sleep(30) # Wait 30 seconds before restarting
|
|
self._bg_task = asyncio.create_task(self._background_processor())
|
|
|
|
async def _process_metadata(self, metadata):
|
|
"""Process metadata from an execution"""
|
|
if not metadata or not isinstance(metadata, dict):
|
|
return
|
|
|
|
# Increment total executions count
|
|
self.stats["total_executions"] += 1
|
|
|
|
# Get today's date in YYYY-MM-DD format
|
|
today = datetime.datetime.now().strftime("%Y-%m-%d")
|
|
|
|
# Process checkpoints
|
|
if MODELS in metadata and isinstance(metadata[MODELS], dict):
|
|
await self._process_checkpoints(metadata[MODELS], today)
|
|
|
|
# Process loras
|
|
if LORAS in metadata and isinstance(metadata[LORAS], dict):
|
|
await self._process_loras(metadata[LORAS], today)
|
|
|
|
async def _process_checkpoints(self, models_data, today_date):
|
|
"""Process checkpoint models from metadata"""
|
|
try:
|
|
# Get checkpoint scanner service
|
|
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
|
|
if not checkpoint_scanner:
|
|
logger.warning("Checkpoint scanner not available for usage tracking")
|
|
return
|
|
|
|
for node_id, model_info in models_data.items():
|
|
if not isinstance(model_info, dict):
|
|
continue
|
|
|
|
# Check if this is a checkpoint model
|
|
model_type = model_info.get("type")
|
|
if model_type == "checkpoint":
|
|
model_name = model_info.get("name")
|
|
if not model_name:
|
|
continue
|
|
|
|
# Clean up filename (remove extension if present)
|
|
model_filename = os.path.splitext(os.path.basename(model_name))[0]
|
|
|
|
# Get hash for this checkpoint
|
|
model_hash = checkpoint_scanner.get_hash_by_filename(model_filename)
|
|
if model_hash:
|
|
# Update stats for this checkpoint with date tracking
|
|
if model_hash not in self.stats["checkpoints"]:
|
|
self.stats["checkpoints"][model_hash] = {
|
|
"total": 0,
|
|
"history": {}
|
|
}
|
|
|
|
# Increment total count
|
|
self.stats["checkpoints"][model_hash]["total"] += 1
|
|
|
|
# Increment today's count
|
|
if today_date not in self.stats["checkpoints"][model_hash]["history"]:
|
|
self.stats["checkpoints"][model_hash]["history"][today_date] = 0
|
|
self.stats["checkpoints"][model_hash]["history"][today_date] += 1
|
|
except Exception as e:
|
|
logger.error(f"Error processing checkpoint usage: {e}", exc_info=True)
|
|
|
|
async def _process_loras(self, loras_data, today_date):
|
|
"""Process LoRA models from metadata"""
|
|
try:
|
|
# Get LoRA scanner service
|
|
lora_scanner = await ServiceRegistry.get_lora_scanner()
|
|
if not lora_scanner:
|
|
logger.warning("LoRA scanner not available for usage tracking")
|
|
return
|
|
|
|
for node_id, lora_info in loras_data.items():
|
|
if not isinstance(lora_info, dict):
|
|
continue
|
|
|
|
# Get the list of LoRAs from standardized format
|
|
lora_list = lora_info.get("lora_list", [])
|
|
for lora in lora_list:
|
|
if not isinstance(lora, dict):
|
|
continue
|
|
|
|
lora_name = lora.get("name")
|
|
if not lora_name:
|
|
continue
|
|
|
|
# Get hash for this LoRA
|
|
lora_hash = lora_scanner.get_hash_by_filename(lora_name)
|
|
if lora_hash:
|
|
# Update stats for this LoRA with date tracking
|
|
if lora_hash not in self.stats["loras"]:
|
|
self.stats["loras"][lora_hash] = {
|
|
"total": 0,
|
|
"history": {}
|
|
}
|
|
|
|
# Increment total count
|
|
self.stats["loras"][lora_hash]["total"] += 1
|
|
|
|
# Increment today's count
|
|
if today_date not in self.stats["loras"][lora_hash]["history"]:
|
|
self.stats["loras"][lora_hash]["history"][today_date] = 0
|
|
self.stats["loras"][lora_hash]["history"][today_date] += 1
|
|
except Exception as e:
|
|
logger.error(f"Error processing LoRA usage: {e}", exc_info=True)
|
|
|
|
async def get_stats(self):
|
|
"""Get current usage statistics"""
|
|
return self.stats
|
|
|
|
async def get_model_usage_count(self, model_type, sha256):
|
|
"""Get usage count for a specific model by hash"""
|
|
if model_type == "checkpoint":
|
|
if sha256 in self.stats["checkpoints"]:
|
|
return self.stats["checkpoints"][sha256]["total"]
|
|
elif model_type == "lora":
|
|
if sha256 in self.stats["loras"]:
|
|
return self.stats["loras"][sha256]["total"]
|
|
return 0
|
|
|
|
async def process_execution(self, prompt_id):
|
|
"""Process a prompt execution immediately (synchronous approach)"""
|
|
if not prompt_id:
|
|
return
|
|
|
|
try:
|
|
# Process metadata for this prompt_id
|
|
registry = MetadataRegistry()
|
|
metadata = registry.get_metadata(prompt_id)
|
|
if metadata:
|
|
await self._process_metadata(metadata)
|
|
# Save stats if needed
|
|
await self.save_stats()
|
|
except Exception as e:
|
|
logger.error(f"Error processing prompt_id {prompt_id}: {e}", exc_info=True)
|