75 lines
3.2 KiB
Python
75 lines
3.2 KiB
Python
import websockets
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import json
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import uuid
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import aiohttp
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import random
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from workflow_service.config import Settings
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settings = Settings()
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async def queue_prompt(prompt: dict, client_id: str) -> str:
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"""通过HTTP POST将工作流任务提交到ComfyUI队列。"""
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# [缓存破解] 在每个节点中添加一个随机数输入，强制重新执行
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for node_id in prompt:
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prompt[node_id]["inputs"][f"cache_buster_{uuid.uuid4().hex}"] = random.random()
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payload = {"prompt": prompt, "client_id": client_id}
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async with aiohttp.ClientSession() as session:
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http_url = f"{settings.COMFYUI_HTTP_URL}/prompt"
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async with session.post(http_url, json=payload) as response:
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response.raise_for_status()
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result = await response.json()
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if "prompt_id" not in result:
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raise Exception(f"Invalid response from ComfyUI /prompt endpoint: {result}")
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return result["prompt_id"]
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async def get_execution_results(prompt_id: str, client_id: str) -> dict:
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"""
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通过WebSocket连接，聚合所有'executed'事件的输出，
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直到整个执行流程结束。
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"""
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ws_url = f"{settings.COMFYUI_URL}?clientId={client_id}"
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aggregated_outputs = {}
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async with websockets.connect(ws_url) as websocket:
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while True:
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try:
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out = await websocket.recv()
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if isinstance(out, str):
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message = json.loads(out)
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msg_type = message.get('type')
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data = message.get('data')
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# 我们只关心与我们prompt_id相关的事件
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if data and data.get('prompt_id') == prompt_id:
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if msg_type == 'executed':
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# 聚合每个节点的输出
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node_id = data.get('node')
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output_data = data.get('output')
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if node_id and output_data:
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aggregated_outputs[node_id] = output_data
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print(f"Output received for node {node_id} (Prompt ID: {prompt_id})")
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# 判断执行是否结束
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# 官方UI使用 "executing" 且 node is null 作为结束标志
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elif msg_type == 'executing' and data.get('node') is None:
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print(f"Execution finished for Prompt ID: {prompt_id}")
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return aggregated_outputs
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except websockets.exceptions.ConnectionClosed as e:
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print(f"WebSocket connection closed for {prompt_id}. Returning aggregated results. Error: {e}")
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return aggregated_outputs # 连接关闭也视为结束
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except Exception as e:
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print(f"An error occurred for {prompt_id}: {e}")
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break
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return aggregated_outputs
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async def run_workflow(prompt: dict) -> dict:
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"""主协调函数：提交任务，然后等待结果。"""
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client_id = str(uuid.uuid4())
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prompt_id = await queue_prompt(prompt, client_id)
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print(f"Workflow successfully queued with Prompt ID: {prompt_id}")
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results = await get_execution_results(prompt_id, client_id)
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return results |