1319 lines
48 KiB
Python
1319 lines
48 KiB
Python
from io import BytesIO
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from aiohttp import web
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import os
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import requests
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import folder_paths
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import json
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import server
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from PIL import Image
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import time
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import execution
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import random
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import traceback
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import uuid
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import asyncio
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import logging
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from urllib.parse import quote
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import threading
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import hashlib
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import aiohttp
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import aiofiles
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from typing import Dict, List, Union, Any, Optional
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from PIL import Image
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import copy
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import struct
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from aiohttp import ClientError
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import atexit
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# Global session
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client_session = None
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# def create_client_session():
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# global client_session
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# if client_session is None:
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# client_session = aiohttp.ClientSession()
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async def ensure_client_session():
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global client_session
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if client_session is None:
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client_session = aiohttp.ClientSession()
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async def cleanup():
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global client_session
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if client_session:
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await client_session.close()
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def exit_handler():
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print("Exiting the application. Initiating cleanup...")
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loop = asyncio.get_event_loop()
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loop.run_until_complete(cleanup())
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atexit.register(exit_handler)
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async def async_request_with_retry(method, url, **kwargs):
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global client_session
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await ensure_client_session()
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max_retries = 3
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retry_delay = 1 # Start with 1 second delay
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for attempt in range(max_retries):
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try:
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async with client_session.request(method, url, **kwargs) as response:
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response.raise_for_status()
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return response
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except ClientError as e:
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if attempt == max_retries - 1:
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logger.error(f"Request failed after {max_retries} attempts: {e}")
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raise
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logger.warning(f"Request failed (attempt {attempt + 1}/{max_retries}): {e}")
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await asyncio.sleep(retry_delay)
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retry_delay *= 2 # Exponential backoff
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from logging import basicConfig, getLogger
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# Check for an environment variable to enable/disable Logfire
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use_logfire = os.environ.get('USE_LOGFIRE', 'false').lower() == 'true'
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if use_logfire:
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try:
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import logfire
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logfire.configure(
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send_to_logfire="if-token-present"
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)
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logger = logfire
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except ImportError:
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print("Logfire not installed or disabled. Using standard Python logger.")
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use_logfire = False
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if not use_logfire:
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# Use a standard Python logger when Logfire is disabled or not available
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logger = getLogger("comfy-deploy")
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basicConfig(level="INFO") # You can adjust the logging level as needed
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def log(level, message, **kwargs):
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if use_logfire:
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getattr(logger, level)(message, **kwargs)
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else:
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getattr(logger, level)(f"{message} {kwargs}")
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# For a span, you might need to create a context manager
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from contextlib import contextmanager
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@contextmanager
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def log_span(name):
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if use_logfire:
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with logger.span(name):
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yield
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# else:
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# logger.info(f"Start: {name}")
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# yield
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# logger.info(f"End: {name}")
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from globals import StreamingPrompt, Status, sockets, SimplePrompt, streaming_prompt_metadata, prompt_metadata
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class EventEmitter:
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def __init__(self):
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self.listeners = {}
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def on(self, event, listener):
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if event not in self.listeners:
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self.listeners[event] = []
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self.listeners[event].append(listener)
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def off(self, event, listener):
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if event in self.listeners:
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self.listeners[event].remove(listener)
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if not self.listeners[event]:
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del self.listeners[event]
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def emit(self, event, *args, **kwargs):
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if event in self.listeners:
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for listener in self.listeners[event]:
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listener(*args, **kwargs)
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# Create a global event emitter instance
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event_emitter = EventEmitter()
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api = None
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api_task = None
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cd_enable_log = os.environ.get('CD_ENABLE_LOG', 'false').lower() == 'true'
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cd_enable_run_log = os.environ.get('CD_ENABLE_RUN_LOG', 'false').lower() == 'true'
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bypass_upload = os.environ.get('CD_BYPASS_UPLOAD', 'false').lower() == 'true'
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logger.info(f"CD_BYPASS_UPLOAD {bypass_upload}")
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def clear_current_prompt(sid):
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prompt_server = server.PromptServer.instance
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to_delete = list(streaming_prompt_metadata[sid].running_prompt_ids) # Convert set to list
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logger.info(f"clearing out prompt: {to_delete}")
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for id_to_delete in to_delete:
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delete_func = lambda a: a[1] == id_to_delete
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prompt_server.prompt_queue.delete_queue_item(delete_func)
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logger.info(f"deleted prompt: {id_to_delete}, remaining tasks: {prompt_server.prompt_queue.get_tasks_remaining()}")
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streaming_prompt_metadata[sid].running_prompt_ids.clear()
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def post_prompt(json_data):
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prompt_server = server.PromptServer.instance
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json_data = prompt_server.trigger_on_prompt(json_data)
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if "number" in json_data:
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number = float(json_data["number"])
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else:
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number = prompt_server.number
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if "front" in json_data:
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if json_data["front"]:
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number = -number
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prompt_server.number += 1
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if "prompt" in json_data:
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prompt = json_data["prompt"]
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valid = execution.validate_prompt(prompt)
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extra_data = {}
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if "extra_data" in json_data:
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extra_data = json_data["extra_data"]
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if "client_id" in json_data:
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extra_data["client_id"] = json_data["client_id"]
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if valid[0]:
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# if the prompt id is provided
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prompt_id = json_data.get("prompt_id") or str(uuid.uuid4())
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outputs_to_execute = valid[2]
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prompt_server.prompt_queue.put(
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(number, prompt_id, prompt, extra_data, outputs_to_execute)
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)
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response = {
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"prompt_id": prompt_id,
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"number": number,
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"node_errors": valid[3],
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}
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return response
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else:
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logger.info("invalid prompt:", valid[1])
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return {"error": valid[1], "node_errors": valid[3]}
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else:
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return {"error": "no prompt", "node_errors": []}
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def randomSeed(num_digits=15):
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range_start = 10 ** (num_digits - 1)
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range_end = (10**num_digits) - 1
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return random.randint(range_start, range_end)
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def apply_random_seed_to_workflow(workflow_api):
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"""
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Applies a random seed to each element in the workflow_api that has a 'seed' input.
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Args:
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workflow_api (dict): The workflow API dictionary to modify.
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"""
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for key in workflow_api:
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if 'inputs' in workflow_api[key] and 'seed' in workflow_api[key]['inputs']:
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if isinstance(workflow_api[key]['inputs']['seed'], list):
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continue
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if workflow_api[key]['class_type'] == "PromptExpansion":
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workflow_api[key]['inputs']['seed'] = randomSeed(8);
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continue
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workflow_api[key]['inputs']['seed'] = randomSeed();
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def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
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# Loop through each of the inputs and replace them
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for key, value in workflow_api.items():
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if 'inputs' in value:
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# Support websocket
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if sid is not None:
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if (value["class_type"] == "ComfyDeployWebscoketImageOutput"):
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value['inputs']["client_id"] = sid
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if (value["class_type"] == "ComfyDeployWebscoketImageInput"):
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value['inputs']["client_id"] = sid
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if "input_id" in value['inputs'] and inputs is not None and value['inputs']['input_id'] in inputs:
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new_value = inputs[value['inputs']['input_id']]
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# Lets skip it if its an image
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if isinstance(new_value, Image.Image):
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continue
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# Backward compactibility
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value['inputs']["input_id"] = new_value
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# Fix for external text default value
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if (value["class_type"] == "ComfyUIDeployExternalText"):
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value['inputs']["default_value"] = new_value
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if (value["class_type"] == "ComfyUIDeployExternalCheckpoint"):
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value['inputs']["default_value"] = new_value
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if (value["class_type"] == "ComfyUIDeployExternalImageBatch"):
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value['inputs']["images"] = new_value
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if value["class_type"] == "ComfyUIDeployExternalLora":
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value["inputs"]["default_lora_name"] = new_value
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if value["class_type"] == "ComfyUIDeployExternalSlider":
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value["inputs"]["default_value"] = new_value
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if value["class_type"] == "ComfyUIDeployExternalBoolean":
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value["inputs"]["default_value"] = new_value
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def send_prompt(sid: str, inputs: StreamingPrompt):
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# workflow_api = inputs.workflow_api
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workflow_api = copy.deepcopy(inputs.workflow_api)
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# Random seed
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apply_random_seed_to_workflow(workflow_api)
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logger.info("getting inputs" , inputs.inputs)
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apply_inputs_to_workflow(workflow_api, inputs.inputs, sid=sid)
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logger.info(workflow_api)
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prompt_id = str(uuid.uuid4())
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prompt = {
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"prompt": workflow_api,
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"client_id": sid, #"comfy_deploy_instance", #api.client_id
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"prompt_id": prompt_id
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}
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try:
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res = post_prompt(prompt)
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inputs.running_prompt_ids.add(prompt_id)
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prompt_metadata[prompt_id] = SimplePrompt(
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status_endpoint=inputs.status_endpoint,
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file_upload_endpoint=inputs.file_upload_endpoint,
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workflow_api=workflow_api,
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is_realtime=True
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)
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except Exception as e:
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error_type = type(e).__name__
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stack_trace_short = traceback.format_exc().strip().split('\n')[-2]
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stack_trace = traceback.format_exc().strip()
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logger.info(f"error: {error_type}, {e}")
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logger.info(f"stack trace: {stack_trace_short}")
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@server.PromptServer.instance.routes.post("/comfyui-deploy/run")
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async def comfy_deploy_run(request):
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data = await request.json()
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# In older version, we use workflow_api, but this has inputs already swapped in nextjs frontend, which is tricky
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workflow_api = data.get("workflow_api_raw")
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# The prompt id generated from comfy deploy, can be None
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prompt_id = data.get("prompt_id")
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inputs = data.get("inputs")
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# Now it handles directly in here
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apply_random_seed_to_workflow(workflow_api)
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apply_inputs_to_workflow(workflow_api, inputs)
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prompt = {
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"prompt": workflow_api,
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"client_id": "comfy_deploy_instance", #api.client_id
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"prompt_id": prompt_id
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}
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prompt_metadata[prompt_id] = SimplePrompt(
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status_endpoint=data.get('status_endpoint'),
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file_upload_endpoint=data.get('file_upload_endpoint'),
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workflow_api=workflow_api
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)
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try:
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res = post_prompt(prompt)
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except Exception as e:
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error_type = type(e).__name__
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stack_trace_short = traceback.format_exc().strip().split('\n')[-2]
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stack_trace = traceback.format_exc().strip()
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logger.info(f"error: {error_type}, {e}")
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logger.info(f"stack trace: {stack_trace_short}")
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await update_run_with_output(prompt_id, {
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"error": {
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"error_type": error_type,
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"stack_trace": stack_trace
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}
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})
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# When there are critical errors, the prompt is actually not run
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await update_run(prompt_id, Status.FAILED)
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return web.Response(status=500, reason=f"{error_type}: {e}, {stack_trace_short}")
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status = 200
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if "node_errors" in res and res["node_errors"]:
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# Even tho there are node_errors it can still be run
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status = 400
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await update_run_with_output(prompt_id, {
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"error": {
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**res
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}
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})
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# When there are critical errors, the prompt is actually not run
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if "error" in res:
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await update_run(prompt_id, Status.FAILED)
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return web.json_response(res, status=status)
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async def stream_prompt(data):
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# In older version, we use workflow_api, but this has inputs already swapped in nextjs frontend, which is tricky
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workflow_api = data.get("workflow_api_raw")
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# The prompt id generated from comfy deploy, can be None
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prompt_id = data.get("prompt_id")
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inputs = data.get("inputs")
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# Now it handles directly in here
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apply_random_seed_to_workflow(workflow_api)
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apply_inputs_to_workflow(workflow_api, inputs)
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prompt = {
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"prompt": workflow_api,
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"client_id": "comfy_deploy_instance", #api.client_id
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"prompt_id": prompt_id
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}
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prompt_metadata[prompt_id] = SimplePrompt(
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status_endpoint=data.get('status_endpoint'),
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file_upload_endpoint=data.get('file_upload_endpoint'),
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workflow_api=workflow_api
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)
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log('info', "Begin prompt", prompt=prompt)
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try:
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res = post_prompt(prompt)
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except Exception as e:
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error_type = type(e).__name__
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stack_trace_short = traceback.format_exc().strip().split('\n')[-2]
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stack_trace = traceback.format_exc().strip()
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logger.info(f"error: {error_type}, {e}")
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logger.info(f"stack trace: {stack_trace_short}")
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await update_run_with_output(prompt_id, {
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"error": {
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"error_type": error_type,
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"stack_trace": stack_trace
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}
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})
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# When there are critical errors, the prompt is actually not run
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await update_run(prompt_id, Status.FAILED)
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# return web.Response(status=500, reason=f"{error_type}: {e}, {stack_trace_short}")
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# raise Exception("Prompt failed")
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status = 200
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if "node_errors" in res and res["node_errors"]:
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# Even tho there are node_errors it can still be run
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status = 400
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await update_run_with_output(prompt_id, {
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"error": {
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**res
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}
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})
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# When there are critical errors, the prompt is actually not run
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if "error" in res:
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await update_run(prompt_id, Status.FAILED)
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# raise Exception("Prompt failed")
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return res
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# return web.json_response(res, status=status)
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comfy_message_queues: Dict[str, asyncio.Queue] = {}
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@server.PromptServer.instance.routes.post('/comfyui-deploy/run/streaming')
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async def stream_response(request):
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response = web.StreamResponse(status=200, reason='OK', headers={'Content-Type': 'text/event-stream'})
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await response.prepare(request)
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pending = True
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data = await request.json()
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prompt_id = data.get("prompt_id")
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comfy_message_queues[prompt_id] = asyncio.Queue()
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with log_span('Streaming Run'):
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log('info', 'Streaming prompt')
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try:
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result = await stream_prompt(data=data)
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await response.write(f"event: event_update\ndata: {json.dumps(result)}\n\n".encode('utf-8'))
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# await response.write(.encode('utf-8'))
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await response.drain() # Ensure the buffer is flushed
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while pending:
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if prompt_id in comfy_message_queues:
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if not comfy_message_queues[prompt_id].empty():
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data = await comfy_message_queues[prompt_id].get()
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log('info', data["event"], data=json.dumps(data))
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# logger.info("listener", data)
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await response.write(f"event: event_update\ndata: {json.dumps(data)}\n\n".encode('utf-8'))
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await response.drain() # Ensure the buffer is flushed
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if data["event"] == "status":
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if data["data"]["status"] in (Status.FAILED.value, Status.SUCCESS.value):
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pending = False
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await asyncio.sleep(0.1) # Adjust the sleep duration as needed
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except asyncio.CancelledError:
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log('info', "Streaming was cancelled")
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raise
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except Exception as e:
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log('error', "Streaming error", error=e)
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finally:
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# event_emitter.off("send_json", task)
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await response.write_eof()
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comfy_message_queues.pop(prompt_id, None)
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return response
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|
|
def get_comfyui_path_from_file_path(file_path):
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file_path_parts = file_path.split("\\")
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if file_path_parts[0] == "input":
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logger.info("matching input")
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file_path = os.path.join(folder_paths.get_directory_by_type("input"), *file_path_parts[1:])
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elif file_path_parts[0] == "models":
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logger.info("matching models")
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file_path = folder_paths.get_full_path(file_path_parts[1], os.path.join(*file_path_parts[2:]))
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logger.info(file_path)
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return file_path
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|
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# Form ComfyUI Manager
|
|
async def compute_sha256_checksum(filepath):
|
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logger.info("computing sha256 checksum")
|
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chunk_size = 1024 * 256 # Example: 256KB
|
|
filepath = get_comfyui_path_from_file_path(filepath)
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|
"""Compute the SHA256 checksum of a file, in chunks, asynchronously"""
|
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sha256 = hashlib.sha256()
|
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async with aiofiles.open(filepath, 'rb') as f:
|
|
while True:
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chunk = await f.read(chunk_size)
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|
if not chunk:
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break
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sha256.update(chunk)
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return sha256.hexdigest()
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|
|
@server.PromptServer.instance.routes.get('/comfyui-deploy/models')
|
|
async def get_installed_models(request):
|
|
# Directly return the list of paths as JSON
|
|
new_dict = {}
|
|
for key, value in folder_paths.folder_names_and_paths.items():
|
|
# Convert set to list for JSON compatibility
|
|
# for path in value[0]:
|
|
file_list = folder_paths.get_filename_list(key)
|
|
value_json_compatible = (value[0], list(value[1]), file_list)
|
|
new_dict[key] = value_json_compatible
|
|
# logger.info(new_dict)
|
|
return web.json_response(new_dict)
|
|
|
|
# This is start uploading the files to Comfy Deploy
|
|
@server.PromptServer.instance.routes.post('/comfyui-deploy/upload-file')
|
|
async def upload_file_endpoint(request):
|
|
data = await request.json()
|
|
|
|
file_path = data.get("file_path")
|
|
|
|
logger.info("Original file path", file_path)
|
|
|
|
file_path = get_comfyui_path_from_file_path(file_path)
|
|
|
|
# return web.json_response({
|
|
# "error": f"File not uploaded"
|
|
# }, status=500)
|
|
|
|
token = data.get("token")
|
|
get_url = data.get("url")
|
|
|
|
try:
|
|
base = folder_paths.base_path
|
|
file_path = os.path.join(base, file_path)
|
|
|
|
if os.path.exists(file_path):
|
|
file_size = os.path.getsize(file_path)
|
|
file_extension = os.path.splitext(file_path)[1]
|
|
|
|
if file_extension in ['.jpg', '.jpeg']:
|
|
file_type = 'image/jpeg'
|
|
elif file_extension == '.png':
|
|
file_type = 'image/png'
|
|
elif file_extension == '.webp':
|
|
file_type = 'image/webp'
|
|
else:
|
|
file_type = 'application/octet-stream' # Default to binary file type if unknown
|
|
else:
|
|
return web.json_response({
|
|
"error": f"File not found: {file_path}"
|
|
}, status=404)
|
|
|
|
except Exception as e:
|
|
return web.json_response({
|
|
"error": str(e)
|
|
}, status=500)
|
|
|
|
if get_url:
|
|
try:
|
|
headers = {'Authorization': f'Bearer {token}'}
|
|
params = {'file_size': file_size, 'type': file_type}
|
|
response = await async_request_with_retry('GET', get_url, params=params, headers=headers)
|
|
if response.status == 200:
|
|
content = await response.json()
|
|
upload_url = content["upload_url"]
|
|
|
|
with open(file_path, 'rb') as f:
|
|
headers = {
|
|
"Content-Type": file_type,
|
|
# "x-amz-acl": "public-read",
|
|
"Content-Length": str(file_size)
|
|
}
|
|
upload_response = await async_request_with_retry('PUT', upload_url, data=f, headers=headers)
|
|
if upload_response.status == 200:
|
|
return web.json_response({
|
|
"message": "File uploaded successfully",
|
|
"download_url": content["download_url"]
|
|
})
|
|
else:
|
|
return web.json_response({
|
|
"error": f"Failed to upload file to {upload_url}. Status code: {upload_response.status}"
|
|
}, status=upload_response.status)
|
|
else:
|
|
return web.json_response({
|
|
"error": f"Failed to fetch data from {get_url}. Status code: {response.status}"
|
|
}, status=response.status)
|
|
except Exception as e:
|
|
return web.json_response({
|
|
"error": f"An error occurred while fetching data from {get_url}: {str(e)}"
|
|
}, status=500)
|
|
|
|
return web.json_response({
|
|
"error": f"File not uploaded"
|
|
}, status=500)
|
|
|
|
|
|
script_dir = os.path.dirname(os.path.abspath(__file__))
|
|
# Assuming the cache file is stored in the same directory as this script
|
|
CACHE_FILE_PATH = script_dir + '/file-hash-cache.json'
|
|
|
|
# Global in-memory cache
|
|
file_hash_cache = {}
|
|
|
|
# Load cache from disk at startup
|
|
def load_cache():
|
|
global file_hash_cache
|
|
try:
|
|
with open(CACHE_FILE_PATH, 'r') as cache_file:
|
|
file_hash_cache = json.load(cache_file)
|
|
except (FileNotFoundError, json.JSONDecodeError):
|
|
file_hash_cache = {}
|
|
|
|
# Save cache to disk
|
|
def save_cache():
|
|
with open(CACHE_FILE_PATH, 'w') as cache_file:
|
|
json.dump(file_hash_cache, cache_file)
|
|
|
|
# Initialize cache on application start
|
|
load_cache()
|
|
|
|
@server.PromptServer.instance.routes.get('/comfyui-deploy/get-file-hash')
|
|
async def get_file_hash(request):
|
|
file_path = request.rel_url.query.get('file_path', '')
|
|
|
|
if not file_path:
|
|
return web.json_response({
|
|
"error": "file_path is required"
|
|
}, status=400)
|
|
|
|
try:
|
|
base = folder_paths.base_path
|
|
full_file_path = os.path.join(base, file_path)
|
|
|
|
# Check if the file hash is in the cache
|
|
if full_file_path in file_hash_cache:
|
|
file_hash = file_hash_cache[full_file_path]
|
|
else:
|
|
start_time = time.time()
|
|
file_hash = await compute_sha256_checksum(full_file_path)
|
|
end_time = time.time()
|
|
elapsed_time = end_time - start_time
|
|
logger.info(f"Cache miss -> Execution time: {elapsed_time} seconds")
|
|
|
|
# Update the in-memory cache
|
|
file_hash_cache[full_file_path] = file_hash
|
|
|
|
save_cache()
|
|
|
|
return web.json_response({
|
|
"file_hash": file_hash
|
|
})
|
|
except Exception as e:
|
|
return web.json_response({
|
|
"error": str(e)
|
|
}, status=500)
|
|
|
|
async def update_realtime_run_status(realtime_id: str, status_endpoint: str, status: Status):
|
|
body = {
|
|
"run_id": realtime_id,
|
|
"status": status.value,
|
|
}
|
|
if (status_endpoint is None):
|
|
return
|
|
# requests.post(status_endpoint, json=body)
|
|
await async_request_with_retry('POST', status_endpoint, json=body)
|
|
|
|
@server.PromptServer.instance.routes.get('/comfyui-deploy/ws')
|
|
async def websocket_handler(request):
|
|
ws = web.WebSocketResponse()
|
|
await ws.prepare(request)
|
|
sid = request.rel_url.query.get('clientId', '')
|
|
if sid:
|
|
# Reusing existing session, remove old
|
|
sockets.pop(sid, None)
|
|
else:
|
|
sid = uuid.uuid4().hex
|
|
|
|
sockets[sid] = ws
|
|
|
|
auth_token = request.rel_url.query.get('token', None)
|
|
get_workflow_endpoint_url = request.rel_url.query.get('workflow_endpoint', None)
|
|
realtime_id = request.rel_url.query.get('realtime_id', None)
|
|
status_endpoint = request.rel_url.query.get('status_endpoint', None)
|
|
|
|
if auth_token is not None and get_workflow_endpoint_url is not None:
|
|
headers = {'Authorization': f'Bearer {auth_token}'}
|
|
response = await async_request_with_retry('GET', get_workflow_endpoint_url, headers=headers)
|
|
if response.status == 200:
|
|
workflow = await response.json()
|
|
|
|
logger.info(f"Loaded workflow version ${workflow['version']}")
|
|
|
|
streaming_prompt_metadata[sid] = StreamingPrompt(
|
|
workflow_api=workflow["workflow_api"],
|
|
auth_token=auth_token,
|
|
inputs={},
|
|
status_endpoint=status_endpoint,
|
|
file_upload_endpoint=request.rel_url.query.get('file_upload_endpoint', None),
|
|
)
|
|
|
|
await update_realtime_run_status(realtime_id, status_endpoint, Status.RUNNING)
|
|
# await send("workflow_api", workflow_api, sid)
|
|
else:
|
|
error_message = await response.text()
|
|
logger.info(f"Failed to fetch workflow endpoint. Status: {response.status}, Error: {error_message}")
|
|
# await send("error", {"message": error_message}, sid)
|
|
|
|
try:
|
|
# Send initial state to the new client
|
|
await send("status", { 'sid': sid }, sid)
|
|
|
|
# Make sure when its connected via client, the full log is not being sent
|
|
if cd_enable_log and get_workflow_endpoint_url is None:
|
|
await send_first_time_log(sid)
|
|
|
|
async for msg in ws:
|
|
if msg.type == aiohttp.WSMsgType.TEXT:
|
|
try:
|
|
data = json.loads(msg.data)
|
|
logger.info(data)
|
|
event_type = data.get('event')
|
|
if event_type == 'input':
|
|
logger.info(f"Got input: ${data.get('inputs')}")
|
|
input = data.get('inputs')
|
|
streaming_prompt_metadata[sid].inputs.update(input)
|
|
elif event_type == 'queue_prompt':
|
|
clear_current_prompt(sid)
|
|
send_prompt(sid, streaming_prompt_metadata[sid])
|
|
else:
|
|
# Handle other event types
|
|
pass
|
|
except json.JSONDecodeError:
|
|
logger.info('Failed to decode JSON from message')
|
|
|
|
if msg.type == aiohttp.WSMsgType.BINARY:
|
|
data = msg.data
|
|
event_type, = struct.unpack("<I", data[:4])
|
|
if event_type == 0: # Image input
|
|
image_type_code, = struct.unpack("<I", data[4:8])
|
|
input_id_bytes = data[8:32] # Extract the next 24 bytes for the input ID
|
|
input_id = input_id_bytes.decode('ascii').strip() # Decode the input ID from ASCII
|
|
logger.info(event_type)
|
|
logger.info(image_type_code)
|
|
logger.info(input_id)
|
|
image_data = data[32:] # The rest is the image data
|
|
if image_type_code == 1:
|
|
image_type = "JPEG"
|
|
elif image_type_code == 2:
|
|
image_type = "PNG"
|
|
elif image_type_code == 3:
|
|
image_type = "WEBP"
|
|
else:
|
|
logger.info(f"Unknown image type code: ${image_type_code}")
|
|
return
|
|
image = Image.open(BytesIO(image_data))
|
|
# Check if the input ID already exists and replace the input with the new one
|
|
if input_id in streaming_prompt_metadata[sid].inputs:
|
|
# If the input exists, we assume it's an image and attempt to close it to free resources
|
|
try:
|
|
existing_image = streaming_prompt_metadata[sid].inputs[input_id]
|
|
if hasattr(existing_image, 'close'):
|
|
existing_image.close()
|
|
except Exception as e:
|
|
logger.info(f"Error closing previous image for input ID {input_id}: {e}")
|
|
streaming_prompt_metadata[sid].inputs[input_id] = image
|
|
# clear_current_prompt(sid)
|
|
# send_prompt(sid, streaming_prompt_metadata[sid])
|
|
logger.info(f"Received {image_type} image of size {image.size} with input ID {input_id}")
|
|
|
|
if msg.type == aiohttp.WSMsgType.ERROR:
|
|
logger.info('ws connection closed with exception %s' % ws.exception())
|
|
finally:
|
|
sockets.pop(sid, None)
|
|
|
|
if realtime_id is not None:
|
|
await update_realtime_run_status(realtime_id, status_endpoint, Status.SUCCESS)
|
|
return ws
|
|
|
|
@server.PromptServer.instance.routes.get('/comfyui-deploy/check-status')
|
|
async def comfy_deploy_check_status(request):
|
|
prompt_id = request.rel_url.query.get('prompt_id', None)
|
|
if prompt_id in prompt_metadata:
|
|
return web.json_response({
|
|
"status": prompt_metadata[prompt_id].status.value
|
|
})
|
|
else:
|
|
return web.json_response({
|
|
"message": "prompt_id not found"
|
|
})
|
|
|
|
@server.PromptServer.instance.routes.get('/comfyui-deploy/check-ws-status')
|
|
async def comfy_deploy_check_ws_status(request):
|
|
client_id = request.rel_url.query.get('client_id', None)
|
|
if client_id in streaming_prompt_metadata:
|
|
remaining_queue = 0 # Initialize remaining queue count
|
|
for prompt_id in streaming_prompt_metadata[client_id].running_prompt_ids:
|
|
prompt_status = prompt_metadata[prompt_id].status
|
|
if prompt_status not in [Status.FAILED, Status.SUCCESS]:
|
|
remaining_queue += 1 # Increment for each prompt still running
|
|
return web.json_response({"remaining_queue": remaining_queue})
|
|
else:
|
|
return web.json_response({"message": "client_id not found"}, status=404)
|
|
|
|
async def send(event, data, sid=None):
|
|
try:
|
|
# message = {"event": event, "data": data}
|
|
if sid:
|
|
ws = sockets.get(sid)
|
|
if ws != None and not ws.closed: # Check if the WebSocket connection is open and not closing
|
|
await ws.send_json({ 'event': event, 'data': data })
|
|
else:
|
|
for ws in sockets.values():
|
|
if not ws.closed: # Check if the WebSocket connection is open and not closing
|
|
await ws.send_json({ 'event': event, 'data': data })
|
|
except Exception as e:
|
|
logger.info(f"Exception: {e}")
|
|
traceback.print_exc()
|
|
|
|
|
|
|
|
prompt_server = server.PromptServer.instance
|
|
send_json = prompt_server.send_json
|
|
|
|
async def send_json_override(self, event, data, sid=None):
|
|
# logger.info("INTERNAL:", event, data, sid)
|
|
prompt_id = data.get('prompt_id')
|
|
|
|
target_sid = sid
|
|
if target_sid == "comfy_deploy_instance":
|
|
target_sid = None
|
|
|
|
# now we send everything
|
|
await asyncio.wait([
|
|
asyncio.create_task(send(event, data, sid=target_sid)),
|
|
asyncio.create_task(self.send_json_original(event, data, sid))
|
|
])
|
|
|
|
if prompt_id in comfy_message_queues:
|
|
comfy_message_queues[prompt_id].put_nowait({
|
|
"event": event,
|
|
"data": data
|
|
})
|
|
|
|
# event_emitter.emit("send_json", {
|
|
# "event": event,
|
|
# "data": data
|
|
# })
|
|
|
|
if event == 'execution_start':
|
|
await update_run(prompt_id, Status.RUNNING)
|
|
|
|
if prompt_id in prompt_metadata:
|
|
prompt_metadata[prompt_id].start_time = time.perf_counter()
|
|
|
|
# the last executing event is none, then the workflow is finished
|
|
if event == 'executing' and data.get('node') is None:
|
|
mark_prompt_done(prompt_id=prompt_id)
|
|
if not have_pending_upload(prompt_id):
|
|
await update_run(prompt_id, Status.SUCCESS)
|
|
if prompt_id in prompt_metadata:
|
|
current_time = time.perf_counter()
|
|
if prompt_metadata[prompt_id].start_time is not None:
|
|
elapsed_time = current_time - prompt_metadata[prompt_id].start_time
|
|
logger.info(f"Elapsed time: {elapsed_time} seconds")
|
|
await send("elapsed_time", {
|
|
"prompt_id": prompt_id,
|
|
"elapsed_time": elapsed_time
|
|
}, sid=sid)
|
|
|
|
if event == 'executing' and data.get('node') is not None:
|
|
node = data.get('node')
|
|
|
|
if prompt_id in prompt_metadata:
|
|
# if 'progress' not in prompt_metadata[prompt_id]:
|
|
# prompt_metadata[prompt_id]["progress"] = set()
|
|
|
|
prompt_metadata[prompt_id].progress.add(node)
|
|
calculated_progress = len(prompt_metadata[prompt_id].progress) / len(prompt_metadata[prompt_id].workflow_api)
|
|
calculated_progress = round(calculated_progress, 2)
|
|
# logger.info("calculated_progress", calculated_progress)
|
|
|
|
if prompt_metadata[prompt_id].last_updated_node is not None and prompt_metadata[prompt_id].last_updated_node == node:
|
|
return
|
|
prompt_metadata[prompt_id].last_updated_node = node
|
|
class_type = prompt_metadata[prompt_id].workflow_api[node]['class_type']
|
|
logger.info(f"At: {calculated_progress * 100}% - {class_type}")
|
|
await send("live_status", {
|
|
"prompt_id": prompt_id,
|
|
"current_node": class_type,
|
|
"progress": calculated_progress,
|
|
}, sid=sid)
|
|
await update_run_live_status(prompt_id, "Executing " + class_type, calculated_progress)
|
|
|
|
if event == 'execution_cached' and data.get('nodes') is not None:
|
|
if prompt_id in prompt_metadata:
|
|
# if 'progress' not in prompt_metadata[prompt_id]:
|
|
# prompt_metadata[prompt_id].progress = set()
|
|
|
|
if 'nodes' in data:
|
|
for node in data.get('nodes', []):
|
|
prompt_metadata[prompt_id].progress.add(node)
|
|
# prompt_metadata[prompt_id]["progress"].update(data.get('nodes'))
|
|
|
|
if event == 'execution_error':
|
|
# Careful this might not be fully awaited.
|
|
await update_run_with_output(prompt_id, data)
|
|
await update_run(prompt_id, Status.FAILED)
|
|
# await update_run_with_output(prompt_id, data)
|
|
|
|
if event == 'executed' and 'node' in data and 'output' in data:
|
|
if prompt_id in prompt_metadata:
|
|
node = data.get('node')
|
|
class_type = prompt_metadata[prompt_id].workflow_api[node]['class_type']
|
|
logger.info(f"Executed {class_type} {data}")
|
|
if class_type == "PreviewImage":
|
|
logger.info("Skipping preview image")
|
|
return
|
|
else:
|
|
logger.info(f"Executed {data}")
|
|
|
|
await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
|
|
# await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
|
|
# update_run_with_output(prompt_id, data.get('output'))
|
|
|
|
# Global variable to keep track of the last read line number
|
|
last_read_line_number = 0
|
|
|
|
async def update_run_live_status(prompt_id, live_status, calculated_progress: float):
|
|
if prompt_id not in prompt_metadata:
|
|
return
|
|
|
|
if prompt_metadata[prompt_id].is_realtime is True:
|
|
return
|
|
|
|
status_endpoint = prompt_metadata[prompt_id].status_endpoint
|
|
|
|
if (status_endpoint is None):
|
|
return
|
|
|
|
# logger.info(f"progress {calculated_progress}")
|
|
|
|
body = {
|
|
"run_id": prompt_id,
|
|
"live_status": live_status,
|
|
"progress": calculated_progress
|
|
}
|
|
|
|
if prompt_id in comfy_message_queues:
|
|
comfy_message_queues[prompt_id].put_nowait({
|
|
"event": "live_status",
|
|
"data": {
|
|
"prompt_id": prompt_id,
|
|
"live_status": live_status,
|
|
"progress": calculated_progress
|
|
}
|
|
})
|
|
|
|
# requests.post(status_endpoint, json=body)
|
|
await async_request_with_retry('POST', status_endpoint, json=body)
|
|
|
|
|
|
async def update_run(prompt_id: str, status: Status):
|
|
global last_read_line_number
|
|
|
|
if prompt_id not in prompt_metadata:
|
|
return
|
|
|
|
# if prompt_metadata[prompt_id].start_time is None and status == Status.RUNNING:
|
|
# if its realtime prompt we need to skip that.
|
|
if prompt_metadata[prompt_id].is_realtime is True:
|
|
prompt_metadata[prompt_id].status = status
|
|
return
|
|
|
|
if (prompt_metadata[prompt_id].status != status):
|
|
|
|
# when the status is already failed, we don't want to update it to success
|
|
if (prompt_metadata[prompt_id].status is Status.FAILED):
|
|
return
|
|
|
|
status_endpoint = prompt_metadata[prompt_id].status_endpoint
|
|
body = {
|
|
"run_id": prompt_id,
|
|
"status": status.value,
|
|
}
|
|
logger.info(f"Status: {status.value}")
|
|
|
|
try:
|
|
# requests.post(status_endpoint, json=body)
|
|
if (status_endpoint is not None):
|
|
await async_request_with_retry('POST', status_endpoint, json=body)
|
|
|
|
if (status_endpoint is not None) and cd_enable_run_log and (status == Status.SUCCESS or status == Status.FAILED):
|
|
try:
|
|
with open(comfyui_file_path, 'r') as log_file:
|
|
# log_data = log_file.read()
|
|
# Move to the last read line
|
|
all_log_data = log_file.read() # Read all log data
|
|
# logger.info("All log data before skipping: ") # Log all data before skipping
|
|
log_file.seek(0) # Reset file pointer to the beginning
|
|
|
|
for _ in range(last_read_line_number):
|
|
next(log_file)
|
|
log_data = log_file.read()
|
|
# Update the last read line number
|
|
last_read_line_number += log_data.count('\n')
|
|
# logger.info("last_read_line_number", last_read_line_number)
|
|
# logger.info("log_data", log_data)
|
|
# logger.info("log_data.count(n)", log_data.count('\n'))
|
|
|
|
body = {
|
|
"run_id": prompt_id,
|
|
"log_data": [
|
|
{
|
|
"logs": log_data,
|
|
# "timestamp": time.time(),
|
|
}
|
|
]
|
|
}
|
|
|
|
await async_request_with_retry('POST', status_endpoint, json=body)
|
|
# requests.post(status_endpoint, json=body)
|
|
except Exception as log_error:
|
|
logger.info(f"Error reading log file: {log_error}")
|
|
|
|
except Exception as e:
|
|
error_type = type(e).__name__
|
|
stack_trace = traceback.format_exc().strip()
|
|
logger.info(f"Error occurred while updating run: {e} {stack_trace}")
|
|
finally:
|
|
prompt_metadata[prompt_id].status = status
|
|
if prompt_id in comfy_message_queues:
|
|
comfy_message_queues[prompt_id].put_nowait({
|
|
"event": "status",
|
|
"data": {
|
|
"prompt_id": prompt_id,
|
|
"status": status.value,
|
|
}
|
|
})
|
|
|
|
|
|
async def upload_file(prompt_id, filename, subfolder=None, content_type="image/png", type="output"):
|
|
"""
|
|
Uploads file to S3 bucket using S3 client object
|
|
:return: None
|
|
"""
|
|
filename,output_dir = folder_paths.annotated_filepath(filename)
|
|
|
|
# validation for security: prevent accessing arbitrary path
|
|
if filename[0] == '/' or '..' in filename:
|
|
return
|
|
|
|
if output_dir is None:
|
|
output_dir = folder_paths.get_directory_by_type(type)
|
|
|
|
if output_dir is None:
|
|
logger.info(f"{filename} Upload failed: output_dir is None")
|
|
return
|
|
|
|
if subfolder != None:
|
|
full_output_dir = os.path.join(output_dir, subfolder)
|
|
if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir:
|
|
return
|
|
output_dir = full_output_dir
|
|
|
|
filename = os.path.basename(filename)
|
|
file = os.path.join(output_dir, filename)
|
|
|
|
logger.info(f"Uploading file {file}")
|
|
|
|
file_upload_endpoint = prompt_metadata[prompt_id].file_upload_endpoint
|
|
|
|
filename = quote(filename)
|
|
prompt_id = quote(prompt_id)
|
|
content_type = quote(content_type)
|
|
|
|
target_url = f"{file_upload_endpoint}?file_name={filename}&run_id={prompt_id}&type={content_type}"
|
|
|
|
start_time = time.time() # Start timing here
|
|
result = requests.get(target_url)
|
|
end_time = time.time() # End timing after the request is complete
|
|
logger.info("Time taken for getting file upload endpoint: {:.2f} seconds".format(end_time - start_time))
|
|
ok = result.json()
|
|
|
|
start_time = time.time() # Start timing here
|
|
|
|
with open(file, 'rb') as f:
|
|
data = f.read()
|
|
headers = {
|
|
# "x-amz-acl": "public-read",
|
|
"Content-Type": content_type,
|
|
"Content-Length": str(len(data)),
|
|
}
|
|
# response = requests.put(ok.get("url"), headers=headers, data=data)
|
|
response = await async_request_with_retry('PUT', ok.get("url"), headers=headers, data=data)
|
|
logger.info(f"Upload file response status: {response.status}, status text: {response.reason}")
|
|
end_time = time.time() # End timing after the request is complete
|
|
logger.info("Upload time: {:.2f} seconds".format(end_time - start_time))
|
|
|
|
def have_pending_upload(prompt_id):
|
|
if prompt_id in prompt_metadata and len(prompt_metadata[prompt_id].uploading_nodes) > 0:
|
|
logger.info(f"Have pending upload {len(prompt_metadata[prompt_id].uploading_nodes)}")
|
|
return True
|
|
|
|
logger.info("No pending upload")
|
|
return False
|
|
|
|
def mark_prompt_done(prompt_id):
|
|
"""
|
|
Mark the prompt as done in the prompt metadata.
|
|
|
|
Args:
|
|
prompt_id (str): The ID of the prompt to mark as done.
|
|
"""
|
|
if prompt_id in prompt_metadata:
|
|
prompt_metadata[prompt_id].done = True
|
|
logger.info("Prompt done")
|
|
|
|
def is_prompt_done(prompt_id: str):
|
|
"""
|
|
Check if the prompt with the given ID is marked as done.
|
|
|
|
Args:
|
|
prompt_id (str): The ID of the prompt to check.
|
|
|
|
Returns:
|
|
bool: True if the prompt is marked as done, False otherwise.
|
|
"""
|
|
if prompt_id in prompt_metadata and prompt_metadata[prompt_id].done is True:
|
|
return True
|
|
|
|
return False
|
|
|
|
# Use to handle upload error and send back to ComfyDeploy
|
|
async def handle_error(prompt_id, data, e: Exception):
|
|
error_type = type(e).__name__
|
|
stack_trace = traceback.format_exc().strip()
|
|
body = {
|
|
"run_id": prompt_id,
|
|
"output_data": {
|
|
"error": {
|
|
"type": error_type,
|
|
"message": str(e),
|
|
"stack_trace": stack_trace
|
|
}
|
|
}
|
|
}
|
|
await update_file_status(prompt_id, data, False, have_error=True)
|
|
logger.info(body)
|
|
logger.info(f"Error occurred while uploading file: {e}")
|
|
|
|
# Mark the current prompt requires upload, and block it from being marked as success
|
|
async def update_file_status(prompt_id: str, data, uploading, have_error=False, node_id=None):
|
|
# if 'uploading_nodes' not in prompt_metadata[prompt_id]:
|
|
# prompt_metadata[prompt_id]['uploading_nodes'] = set()
|
|
|
|
if node_id is not None:
|
|
if uploading:
|
|
prompt_metadata[prompt_id].uploading_nodes.add(node_id)
|
|
else:
|
|
prompt_metadata[prompt_id].uploading_nodes.discard(node_id)
|
|
|
|
logger.info(f"Remaining uploads: {prompt_metadata[prompt_id].uploading_nodes}")
|
|
# Update the remote status
|
|
|
|
if have_error:
|
|
await update_run(prompt_id, Status.FAILED)
|
|
await send("failed", {
|
|
"prompt_id": prompt_id,
|
|
})
|
|
return
|
|
|
|
# if there are still nodes that are uploading, then we set the status to uploading
|
|
if uploading:
|
|
if prompt_metadata[prompt_id].status != Status.UPLOADING:
|
|
await update_run(prompt_id, Status.UPLOADING)
|
|
await send("uploading", {
|
|
"prompt_id": prompt_id,
|
|
})
|
|
|
|
# if there are no nodes that are uploading, then we set the status to success
|
|
elif not uploading and not have_pending_upload(prompt_id) and is_prompt_done(prompt_id=prompt_id):
|
|
await update_run(prompt_id, Status.SUCCESS)
|
|
# logger.info("Status: SUCCUSS")
|
|
await send("success", {
|
|
"prompt_id": prompt_id,
|
|
})
|
|
|
|
async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, default_content_type: str):
|
|
items = data.get(key, [])
|
|
for item in items:
|
|
# # Skipping temp files
|
|
if item.get("type") == "temp":
|
|
continue
|
|
|
|
file_type = item.get(content_type_key, default_content_type)
|
|
file_extension = os.path.splitext(item.get("filename"))[1]
|
|
if file_extension in ['.jpg', '.jpeg']:
|
|
file_type = 'image/jpeg'
|
|
elif file_extension == '.png':
|
|
file_type = 'image/png'
|
|
elif file_extension == '.webp':
|
|
file_type = 'image/webp'
|
|
|
|
await upload_file(
|
|
prompt_id,
|
|
item.get("filename"),
|
|
subfolder=item.get("subfolder"),
|
|
type=item.get("type"),
|
|
content_type=file_type
|
|
)
|
|
|
|
# Upload files in the background
|
|
async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=True):
|
|
try:
|
|
await handle_upload(prompt_id, data, 'images', "content_type", "image/png")
|
|
await handle_upload(prompt_id, data, 'files', "content_type", "image/png")
|
|
# This will also be mp4
|
|
await handle_upload(prompt_id, data, 'gifs', "format", "image/gif")
|
|
await handle_upload(prompt_id, data, 'mesh', "format", "application/octet-stream")
|
|
|
|
if have_upload:
|
|
await update_file_status(prompt_id, data, False, node_id=node_id)
|
|
except Exception as e:
|
|
await handle_error(prompt_id, data, e)
|
|
|
|
async def update_run_with_output(prompt_id, data, node_id=None):
|
|
if prompt_id not in prompt_metadata:
|
|
return
|
|
|
|
if prompt_metadata[prompt_id].is_realtime is True:
|
|
return
|
|
|
|
status_endpoint = prompt_metadata[prompt_id].status_endpoint
|
|
|
|
body = {
|
|
"run_id": prompt_id,
|
|
"output_data": data
|
|
}
|
|
have_upload_media = 'images' in data or 'files' in data or 'gifs' in data or 'mesh' in data
|
|
if bypass_upload and have_upload_media:
|
|
print("CD_BYPASS_UPLOAD is enabled, skipping the upload of the output:", node_id)
|
|
return
|
|
|
|
if have_upload_media:
|
|
try:
|
|
logger.info(f"\nHave_upload {have_upload_media} Node Id: {node_id}")
|
|
|
|
if have_upload_media:
|
|
await update_file_status(prompt_id, data, True, node_id=node_id)
|
|
|
|
asyncio.create_task(upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload_media))
|
|
# await upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload)
|
|
|
|
except Exception as e:
|
|
await handle_error(prompt_id, data, e)
|
|
|
|
# requests.post(status_endpoint, json=body)
|
|
if status_endpoint is not None:
|
|
await async_request_with_retry('POST', status_endpoint, json=body)
|
|
|
|
await send('outputs_uploaded', {
|
|
"prompt_id": prompt_id
|
|
})
|
|
|
|
prompt_server.send_json_original = prompt_server.send_json
|
|
prompt_server.send_json = send_json_override.__get__(prompt_server, server.PromptServer)
|
|
|
|
root_path = os.path.dirname(os.path.abspath(__file__))
|
|
two_dirs_up = os.path.dirname(os.path.dirname(root_path))
|
|
log_file_path = os.path.join(two_dirs_up, 'comfy-deploy.log')
|
|
comfyui_file_path = os.path.join(two_dirs_up, 'comfyui.log')
|
|
|
|
last_read_line = 0
|
|
|
|
async def watch_file_changes(file_path, callback):
|
|
global last_read_line
|
|
last_modified_time = os.stat(file_path).st_mtime
|
|
while True:
|
|
time.sleep(1) # sleep for a while to reduce CPU usage
|
|
modified_time = os.stat(file_path).st_mtime
|
|
if modified_time != last_modified_time:
|
|
last_modified_time = modified_time
|
|
with open(file_path, 'r') as file:
|
|
lines = file.readlines()
|
|
if last_read_line > len(lines):
|
|
last_read_line = 0 # Reset if log file has been rotated
|
|
new_lines = lines[last_read_line:]
|
|
last_read_line = len(lines)
|
|
if new_lines:
|
|
await callback(''.join(new_lines))
|
|
|
|
|
|
async def send_first_time_log(sid):
|
|
with open(log_file_path, 'r') as file:
|
|
lines = file.readlines()
|
|
await send("LOGS", ''.join(lines), sid)
|
|
|
|
async def send_logs_to_websocket(logs):
|
|
await send("LOGS", logs)
|
|
|
|
def start_loop(loop):
|
|
asyncio.set_event_loop(loop)
|
|
loop.run_forever()
|
|
|
|
def run_in_new_thread(coroutine):
|
|
new_loop = asyncio.new_event_loop()
|
|
t = threading.Thread(target=start_loop, args=(new_loop,), daemon=True)
|
|
t.start()
|
|
asyncio.run_coroutine_threadsafe(coroutine, new_loop)
|
|
|
|
if cd_enable_log:
|
|
run_in_new_thread(watch_file_changes(log_file_path, send_logs_to_websocket))
|
|
|
|
# use after calling GET /object_info (it populates the `filename_list_cache` variable)
|
|
@server.PromptServer.instance.routes.get("/comfyui-deploy/filename_list_cache")
|
|
async def get_filename_list_cache(_):
|
|
from folder_paths import filename_list_cache
|
|
return web.json_response({'filename_list': filename_list_cache}) |