mirror of
https://github.com/open-webui/open-webui
synced 2025-06-26 18:26:48 +00:00
wip
This commit is contained in:
@@ -1,5 +1,5 @@
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from typing import Optional, Union, List, Dict, Any
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from open_webui.apps.webui.models.groups import Groups
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from open_webui.models.groups import Groups
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import json
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@@ -5,7 +5,7 @@ import jwt
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from datetime import UTC, datetime, timedelta
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from typing import Optional, Union, List, Dict
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from open_webui.apps.webui.models.users import Users
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from open_webui.models.users import Users
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from open_webui.constants import ERROR_MESSAGES
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from open_webui.env import WEBUI_SECRET_KEY
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186
backend/open_webui/utils/images/comfyui.py
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186
backend/open_webui/utils/images/comfyui.py
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@@ -0,0 +1,186 @@
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import asyncio
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import json
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import logging
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import random
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import urllib.parse
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import urllib.request
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from typing import Optional
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import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
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from open_webui.env import SRC_LOG_LEVELS
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from pydantic import BaseModel
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["COMFYUI"])
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default_headers = {"User-Agent": "Mozilla/5.0"}
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def queue_prompt(prompt, client_id, base_url):
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log.info("queue_prompt")
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p = {"prompt": prompt, "client_id": client_id}
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data = json.dumps(p).encode("utf-8")
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log.debug(f"queue_prompt data: {data}")
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try:
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req = urllib.request.Request(
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f"{base_url}/prompt", data=data, headers=default_headers
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)
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response = urllib.request.urlopen(req).read()
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return json.loads(response)
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except Exception as e:
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log.exception(f"Error while queuing prompt: {e}")
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raise e
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def get_image(filename, subfolder, folder_type, base_url):
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log.info("get_image")
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data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
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url_values = urllib.parse.urlencode(data)
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req = urllib.request.Request(
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f"{base_url}/view?{url_values}", headers=default_headers
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)
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with urllib.request.urlopen(req) as response:
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return response.read()
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def get_image_url(filename, subfolder, folder_type, base_url):
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log.info("get_image")
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data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
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url_values = urllib.parse.urlencode(data)
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return f"{base_url}/view?{url_values}"
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def get_history(prompt_id, base_url):
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log.info("get_history")
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req = urllib.request.Request(
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f"{base_url}/history/{prompt_id}", headers=default_headers
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)
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with urllib.request.urlopen(req) as response:
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return json.loads(response.read())
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def get_images(ws, prompt, client_id, base_url):
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prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
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output_images = []
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while True:
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out = ws.recv()
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if isinstance(out, str):
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message = json.loads(out)
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if message["type"] == "executing":
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data = message["data"]
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if data["node"] is None and data["prompt_id"] == prompt_id:
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break # Execution is done
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else:
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continue # previews are binary data
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history = get_history(prompt_id, base_url)[prompt_id]
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for o in history["outputs"]:
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for node_id in history["outputs"]:
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node_output = history["outputs"][node_id]
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if "images" in node_output:
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for image in node_output["images"]:
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url = get_image_url(
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image["filename"], image["subfolder"], image["type"], base_url
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)
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output_images.append({"url": url})
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return {"data": output_images}
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class ComfyUINodeInput(BaseModel):
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type: Optional[str] = None
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node_ids: list[str] = []
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key: Optional[str] = "text"
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value: Optional[str] = None
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class ComfyUIWorkflow(BaseModel):
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workflow: str
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nodes: list[ComfyUINodeInput]
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class ComfyUIGenerateImageForm(BaseModel):
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workflow: ComfyUIWorkflow
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prompt: str
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negative_prompt: Optional[str] = None
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width: int
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height: int
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n: int = 1
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steps: Optional[int] = None
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seed: Optional[int] = None
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async def comfyui_generate_image(
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model: str, payload: ComfyUIGenerateImageForm, client_id, base_url
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):
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ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
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workflow = json.loads(payload.workflow.workflow)
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for node in payload.workflow.nodes:
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if node.type:
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if node.type == "model":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][node.key] = model
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elif node.type == "prompt":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "text"
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] = payload.prompt
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elif node.type == "negative_prompt":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "text"
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] = payload.negative_prompt
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elif node.type == "width":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "width"
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] = payload.width
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elif node.type == "height":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "height"
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] = payload.height
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elif node.type == "n":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "batch_size"
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] = payload.n
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elif node.type == "steps":
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][
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node.key if node.key else "steps"
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] = payload.steps
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elif node.type == "seed":
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seed = (
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payload.seed
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if payload.seed
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else random.randint(0, 18446744073709551614)
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)
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][node.key] = seed
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else:
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for node_id in node.node_ids:
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workflow[node_id]["inputs"][node.key] = node.value
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try:
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ws = websocket.WebSocket()
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ws.connect(f"{ws_url}/ws?clientId={client_id}")
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log.info("WebSocket connection established.")
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except Exception as e:
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log.exception(f"Failed to connect to WebSocket server: {e}")
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return None
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try:
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log.info("Sending workflow to WebSocket server.")
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log.info(f"Workflow: {workflow}")
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images = await asyncio.to_thread(get_images, ws, workflow, client_id, base_url)
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except Exception as e:
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log.exception(f"Error while receiving images: {e}")
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images = None
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ws.close()
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return images
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@@ -12,8 +12,8 @@ from fastapi import (
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)
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from starlette.responses import RedirectResponse
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from open_webui.apps.webui.models.auths import Auths
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from open_webui.apps.webui.models.users import Users
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from open_webui.models.auths import Auths
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from open_webui.models.users import Users
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from open_webui.config import (
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DEFAULT_USER_ROLE,
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ENABLE_OAUTH_SIGNUP,
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@@ -158,8 +158,13 @@ class OAuthManager:
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if not email:
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log.warning(f"OAuth callback failed, email is missing: {user_data}")
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raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
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if "*" not in auth_manager_config.OAUTH_ALLOWED_DOMAINS and email.split("@")[-1] not in auth_manager_config.OAUTH_ALLOWED_DOMAINS:
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log.warning(f"OAuth callback failed, e-mail domain is not in the list of allowed domains: {user_data}")
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if (
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"*" not in auth_manager_config.OAUTH_ALLOWED_DOMAINS
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and email.split("@")[-1] not in auth_manager_config.OAUTH_ALLOWED_DOMAINS
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):
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log.warning(
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f"OAuth callback failed, e-mail domain is not in the list of allowed domains: {user_data}"
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)
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raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
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# Check if the user exists
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@@ -9,7 +9,7 @@ import site
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from fpdf import FPDF
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from open_webui.env import STATIC_DIR, FONTS_DIR
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from open_webui.apps.webui.models.chats import ChatTitleMessagesForm
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from open_webui.models.chats import ChatTitleMessagesForm
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class PDFGenerator:
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175
backend/open_webui/utils/plugin.py
Normal file
175
backend/open_webui/utils/plugin.py
Normal file
@@ -0,0 +1,175 @@
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import os
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import re
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import subprocess
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import sys
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from importlib import util
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import types
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import tempfile
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import logging
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.models.functions import Functions
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from open_webui.models.tools import Tools
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["MAIN"])
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def extract_frontmatter(content):
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"""
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Extract frontmatter as a dictionary from the provided content string.
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"""
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frontmatter = {}
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frontmatter_started = False
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frontmatter_ended = False
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frontmatter_pattern = re.compile(r"^\s*([a-z_]+):\s*(.*)\s*$", re.IGNORECASE)
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try:
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lines = content.splitlines()
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if len(lines) < 1 or lines[0].strip() != '"""':
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# The content doesn't start with triple quotes
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return {}
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frontmatter_started = True
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for line in lines[1:]:
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if '"""' in line:
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if frontmatter_started:
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frontmatter_ended = True
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break
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if frontmatter_started and not frontmatter_ended:
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match = frontmatter_pattern.match(line)
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if match:
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key, value = match.groups()
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frontmatter[key.strip()] = value.strip()
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except Exception as e:
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print(f"An error occurred: {e}")
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return {}
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return frontmatter
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def replace_imports(content):
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"""
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Replace the import paths in the content.
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"""
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replacements = {
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"from utils": "from open_webui.utils",
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"from apps": "from open_webui.apps",
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"from main": "from open_webui.main",
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"from config": "from open_webui.config",
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}
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for old, new in replacements.items():
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content = content.replace(old, new)
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return content
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def load_tools_module_by_id(toolkit_id, content=None):
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if content is None:
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tool = Tools.get_tool_by_id(toolkit_id)
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if not tool:
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raise Exception(f"Toolkit not found: {toolkit_id}")
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content = tool.content
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content = replace_imports(content)
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Tools.update_tool_by_id(toolkit_id, {"content": content})
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else:
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frontmatter = extract_frontmatter(content)
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# Install required packages found within the frontmatter
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install_frontmatter_requirements(frontmatter.get("requirements", ""))
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module_name = f"tool_{toolkit_id}"
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module = types.ModuleType(module_name)
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sys.modules[module_name] = module
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# Create a temporary file and use it to define `__file__` so
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# that it works as expected from the module's perspective.
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temp_file = tempfile.NamedTemporaryFile(delete=False)
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temp_file.close()
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try:
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with open(temp_file.name, "w", encoding="utf-8") as f:
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f.write(content)
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module.__dict__["__file__"] = temp_file.name
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# Executing the modified content in the created module's namespace
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exec(content, module.__dict__)
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frontmatter = extract_frontmatter(content)
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log.info(f"Loaded module: {module.__name__}")
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# Create and return the object if the class 'Tools' is found in the module
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if hasattr(module, "Tools"):
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return module.Tools(), frontmatter
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else:
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raise Exception("No Tools class found in the module")
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except Exception as e:
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log.error(f"Error loading module: {toolkit_id}: {e}")
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del sys.modules[module_name] # Clean up
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raise e
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finally:
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os.unlink(temp_file.name)
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def load_function_module_by_id(function_id, content=None):
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if content is None:
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function = Functions.get_function_by_id(function_id)
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if not function:
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raise Exception(f"Function not found: {function_id}")
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content = function.content
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content = replace_imports(content)
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Functions.update_function_by_id(function_id, {"content": content})
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else:
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frontmatter = extract_frontmatter(content)
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install_frontmatter_requirements(frontmatter.get("requirements", ""))
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module_name = f"function_{function_id}"
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module = types.ModuleType(module_name)
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sys.modules[module_name] = module
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# Create a temporary file and use it to define `__file__` so
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# that it works as expected from the module's perspective.
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temp_file = tempfile.NamedTemporaryFile(delete=False)
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temp_file.close()
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try:
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with open(temp_file.name, "w", encoding="utf-8") as f:
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f.write(content)
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module.__dict__["__file__"] = temp_file.name
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# Execute the modified content in the created module's namespace
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exec(content, module.__dict__)
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frontmatter = extract_frontmatter(content)
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log.info(f"Loaded module: {module.__name__}")
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# Create appropriate object based on available class type in the module
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if hasattr(module, "Pipe"):
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return module.Pipe(), "pipe", frontmatter
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elif hasattr(module, "Filter"):
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return module.Filter(), "filter", frontmatter
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elif hasattr(module, "Action"):
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return module.Action(), "action", frontmatter
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else:
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raise Exception("No Function class found in the module")
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except Exception as e:
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log.error(f"Error loading module: {function_id}: {e}")
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del sys.modules[module_name] # Cleanup by removing the module in case of error
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Functions.update_function_by_id(function_id, {"is_active": False})
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raise e
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finally:
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os.unlink(temp_file.name)
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def install_frontmatter_requirements(requirements):
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if requirements:
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req_list = [req.strip() for req in requirements.split(",")]
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for req in req_list:
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log.info(f"Installing requirement: {req}")
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subprocess.check_call([sys.executable, "-m", "pip", "install", req])
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else:
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log.info("No requirements found in frontmatter.")
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@@ -5,9 +5,9 @@ from typing import Any, Awaitable, Callable, get_type_hints
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from functools import update_wrapper, partial
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from langchain_core.utils.function_calling import convert_to_openai_function
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from open_webui.apps.webui.models.tools import Tools
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from open_webui.apps.webui.models.users import UserModel
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from open_webui.apps.webui.utils import load_tools_module_by_id
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from open_webui.models.tools import Tools
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from open_webui.models.users import UserModel
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from backend.open_webui.utils.plugin import load_tools_module_by_id
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from pydantic import BaseModel, Field, create_model
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log = logging.getLogger(__name__)
|
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|
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