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import time
import threading
from .discord_client import discord_client
import threading
from collections import deque
from .utils import parse_command_string, tensorToImageConversion
import discord
import asyncio
import websocket
import json
import base64
class ServingOutput:
def __init__(self):
# start listening to api/discord
# when something happen, pass to serving manager with the details
pass
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"serving_config": ("SERVING_CONFIG",),
"image": ("IMAGE",),
"frame_duration": ("INT", {"default": 30, "min": 1, "step": 1, "max": 9999999}),
},
}
RETURN_TYPES = ()
# RETURN_NAMES = ("image_output_name",)
FUNCTION = "out"
OUTPUT_NODE = True
CATEGORY = "Serving-Toolkit"
def out(self, image,serving_config,frame_duration):
serving_config["serve_image_function"](image,frame_duration)
return {}
class ServingInputText:
def __init__(self):
# start listening to api/discord
# when something happen, pass to serving manager with the details
pass
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"serving_config": ("SERVING_CONFIG",),
"argument": ("STRING", {
"multiline": False,
"default": "prompt"
}),
"default": ("STRING", {
"multiline": True,
"default": ""
}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("text",)
FUNCTION = "out"
CATEGORY = "Serving-Toolkit"
def out(self, serving_config, argument,default):
if argument not in serving_config:
return (default,)
return (serving_config[argument],)
class ServingInputNumber:
def __init__(self):
# start listening to api/discord
# when something happen, pass to serving manager with the details
pass
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"serving_config": ("SERVING_CONFIG",),
"argument": ("STRING", {
"multiline": False,
"default": "number"
}),
"default": ("FLOAT", {"default": 0.0, "min": -999999.0, "max": 999999.0, "step": 0.0001}),
"min_value": ("FLOAT", {"default": -999999.0, "min": -999999.0, "max": 999999.0, "step": 0.0001}),
"max_value": ("FLOAT", {"default": 999999.0, "min": -999999.0, "max": 999999.0, "step": 0.0001}),
"step": ("FLOAT", {"default": 0.1, "min": -999999.0, "max": 999999.0, "step": 0.0001}),
}
}
RETURN_TYPES = ("FLOAT", "INT")
FUNCTION = "out"
CATEGORY = "Serving-Toolkit"
def out(self, serving_config, argument,default, min_value, max_value, step):
val = default
if argument in serving_config and serving_config[argument].replace('.','',1).isdigit():
val = serving_config[argument]
valFloat = min(max(float(val), min_value), max_value) // step * step
valInt = round(valFloat)
return (valFloat,valInt)
class DiscordServing():
discord_running = False
def __init__(self):
self.registered_command = False
self.data_ready = threading.Event()
self.data = deque()
self.discord_token = None
pass
def discord_runner(self):
discord_client.run(self.discord_token)
def get_data(self):
if not self.data:
self.data_ready.wait()
data = self.data.popleft()
self.data_ready.clear()
return data
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"discord_token": ("STRING", {
"multiline": True,
"default": ""
}),
"command_name": ("STRING", {
"multiline": False,
"default": "generate"
})
}
}
RETURN_TYPES = ("SERVING_CONFIG",)
RETURN_NAMES = ("Serving config",)
FUNCTION = "serve"
@classmethod
def IS_CHANGED(cls, **kwargs):
return float("NaN")
# OUTPUT_NODE = False
CATEGORY = "Serving-Toolkit"
def serve(self, command_name, discord_token):
if not DiscordServing.discord_running:
self.discord_token = discord_token
run_discord = threading.Thread(target=self.discord_runner)
run_discord.start()
print("Client running")
DiscordServing.discord_running = True
if not self.registered_command:
self.registered_command = True
@discord_client.command(name=command_name)
async def execute(ctx):
parsed_data = parse_command_string(ctx.message.content,command_name)
def serve_image_function(image, frame_duration):
image_file = tensorToImageConversion(image, frame_duration)
asyncio.run_coroutine_threadsafe(ctx.reply(file=discord.File(image_file, filename='image.webp')), discord_client.loop)
parsed_data["serve_image_function"] = serve_image_function
parsed_data.update({f"attachment_url_{i}": attachment.url for i, attachment in enumerate(ctx.message.attachments)}) # populates all the attachments urls
self.data.append(parsed_data)
self.data_ready.set()
data = self.get_data()
return (data,)
class WebSocketServing():
def __init__(self):
self.data_ready = threading.Event()
self.data = deque()
self.ws_running = False
self.websocket_url= None
self.ws = None
pass
def on_message(self,ws,message):
try:
parsed = json.loads(message)
self.data.append(parsed)
self.data_ready.set()
except Exception as e:
print("Error parsing JSON", e)
def on_close(self,ws):
print("WS Client closed!")
def on_error(self,ws,error):
print("WS Client error: ", error)
# Try to reconnect
time.sleep(1)
self.ws_runner()
def ws_runner(self):
print("Starting WS Client...")
self.ws = websocket.WebSocketApp( self.websocket_url,
on_message=self.on_message, on_close= self.on_close, on_error=self.on_error)
while True:
try:
self.ws.run_forever(reconnect=1,
ping_interval=10,
ping_timeout=5,)
except Exception as e:
print("WS Client error: ", e)
time.sleep(5)
continue
def get_data(self):
if not self.data:
self.data_ready.wait()
data = self.data.popleft()
self.data_ready.clear()
return data
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"websocket_url": ("STRING", {
"multiline": False,
"default": ""
})
}
}
RETURN_TYPES = ("SERVING_CONFIG",)
RETURN_NAMES = ("Serving config",)
FUNCTION = "serve"
@classmethod
def IS_CHANGED(cls, **kwargs):
return float("NaN")
# OUTPUT_NODE = False
CATEGORY = "Serving-Toolkit"
def serve(self, websocket_url):
if not self.ws_running:
self.websocket_url = websocket_url
threading.Thread(target=self.ws_runner).start()
print("WS Client running")
self.ws_running = True
data = self.get_data()
def serve_image_function(image, frame_duration):
image_file = tensorToImageConversion(image, frame_duration)
base64_img = base64.b64encode(image_file.read()).decode('utf-8')
response= {
"base64_img":base64_img,
"_requestId":data["_requestId"] # It's assumed that it will exist.
}
self.ws.send(json.dumps(response))
data["serve_image_function"] = serve_image_function
return (data,)
# A dictionary that contains all nodes you want to export with their names
# NOTE: names should be globally unique
NODE_CLASS_MAPPINGS = {
"ServingOutput": ServingOutput,
"ServingInputText": ServingInputText,
"ServingInputNumber": ServingInputNumber,
"DiscordServing": DiscordServing,
"WebSocketServing": WebSocketServing
}
# A dictionary that contains the friendly/humanly readable titles for the nodes
NODE_DISPLAY_NAME_MAPPINGS = {
"ServingOutput": "Serving Output",
"DiscordServing": "Discord Serving",
"WebSocketServing": "WebSocket Serving",
"ServingInputText": "Serving Input Text",
"ServingInputNumber": "Serving Input Number",
}
# input - simply a push
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