ComfyUI/comfy/client/aio_client.py
2024-02-15 17:39:15 -08:00

114 lines
5.6 KiB
Python

import asyncio
import uuid
from asyncio import AbstractEventLoop
from collections import defaultdict
from pathlib import Path
from typing import Optional, List, Dict
from urllib.parse import urlparse, urljoin
import aiohttp
from aiohttp import WSMessage, ClientResponse
from ..api.components.schema.prompt import PromptDict
from ..api.api_client import JSONEncoder
from ..api.components.schema.prompt_request import PromptRequest
from ..api.paths.history.get.responses.response_200.content.application_json.schema import Schema as GetHistoryDict
from ..component_model.file_output_path import file_output_path
class AsyncRemoteComfyClient:
__json_encoder = JSONEncoder()
def __init__(self, server_address: str = "http://localhost:8188", client_id: str = str(uuid.uuid4()),
websocket_address: Optional[str] = None, loop: Optional[AbstractEventLoop] = None):
self.client_id = client_id
self.server_address = server_address
server_address_url = urlparse(server_address)
self.websocket_address = websocket_address if websocket_address is not None else urljoin(
f"ws://{server_address_url.hostname}:{server_address_url.port}", f"/ws?clientId={client_id}")
self.loop = loop or asyncio.get_event_loop()
async def queue_prompt_uris(self, prompt: PromptDict) -> List[str]:
"""
Calls the API to queue a prompt.
:param prompt:
:return: a list of URLs corresponding to the SaveImage nodes in the prompt.
"""
prompt_json = AsyncRemoteComfyClient.__json_encoder.encode(prompt)
async with aiohttp.ClientSession() as session:
response: ClientResponse
async with session.post(urljoin(self.server_address, "/api/v1/prompts"), data=prompt_json,
headers={'Content-Type': 'application/json', 'Accept': 'application/json'}) as response:
if response.status == 200:
return (await response.json())["urls"]
else:
raise RuntimeError(f"could not prompt: {response.status}: {await response.text()}")
async def queue_prompt(self, prompt: PromptDict) -> bytes:
"""
Calls the API to queue a prompt. Returns the bytes of the first PNG returned by a SaveImage node.
:param prompt:
:return:
"""
prompt_json = AsyncRemoteComfyClient.__json_encoder.encode(prompt)
async with aiohttp.ClientSession() as session:
response: ClientResponse
async with session.post(urljoin(self.server_address, "/api/v1/prompts"), data=prompt_json,
headers={'Content-Type': 'application/json', 'Accept': 'image/png'}) as response:
if response.status == 200:
return await response.read()
else:
raise RuntimeError(f"could not prompt: {response.status}: {await response.text()}")
async def queue_prompt_ui(self, prompt: PromptDict) -> Dict[str, List[Path]]:
"""
Uses the comfyui UI API calls to retrieve a list of paths of output files
:param prompt:
:return:
"""
prompt_request = PromptRequest.validate({"prompt": prompt, "client_id": self.client_id})
prompt_request_json = AsyncRemoteComfyClient.__json_encoder.encode(prompt_request)
async with aiohttp.ClientSession() as session:
async with session.ws_connect(self.websocket_address) as ws:
async with session.post(urljoin(self.server_address, "/prompt"), data=prompt_request_json,
headers={'Content-Type': 'application/json'}) as response:
if response.status == 200:
prompt_id = (await response.json())["prompt_id"]
else:
raise RuntimeError("could not prompt")
msg: WSMessage
async for msg in ws:
# Handle incoming messages
if msg.type == aiohttp.WSMsgType.TEXT:
msg_json = msg.json()
if msg_json["type"] == "executing":
data = msg_json["data"]
if data['node'] is None and data['prompt_id'] == prompt_id:
break
elif msg.type == aiohttp.WSMsgType.CLOSED:
break
elif msg.type == aiohttp.WSMsgType.ERROR:
break
async with session.get(urljoin(self.server_address, "/history")) as response:
if response.status == 200:
history_json = GetHistoryDict.validate(await response.json())
# images have filename, subfolder, type keys
# todo: use the OpenAPI spec for this when I get around to updating it
outputs_by_node_id = history_json[prompt_id].outputs
res: Dict[str, List[Path]] = {}
for node_id, output in outputs_by_node_id.items():
if 'images' in output:
images = []
image_dicts: List[dict] = output['images']
for image_file_output_dict in image_dicts:
image_file_output_dict = defaultdict(None, image_file_output_dict)
filename = image_file_output_dict['filename']
subfolder = image_file_output_dict['subfolder']
type = image_file_output_dict['type']
images.append(Path(file_output_path(filename, subfolder=subfolder, type=type)))
res[node_id] = images
return res