320 lines
10 KiB
Python
320 lines
10 KiB
Python
import logging
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import sys
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import inspect
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import json
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import asyncio
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from pydantic import BaseModel
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from typing import AsyncGenerator, Generator, Iterator
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from fastapi import (
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Depends,
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FastAPI,
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File,
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Form,
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HTTPException,
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Request,
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UploadFile,
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status,
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)
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from starlette.responses import Response, StreamingResponse
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from open_webui.socket.main import (
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get_event_call,
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get_event_emitter,
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)
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from open_webui.models.users import UserModel
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from open_webui.models.functions import Functions
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from open_webui.models.models import Models
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from open_webui.utils.plugin import (
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load_function_module_by_id,
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get_function_module_from_cache,
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)
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from open_webui.utils.tools import get_tools
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from open_webui.utils.access_control import has_access
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from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL
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from open_webui.utils.misc import (
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add_or_update_system_message,
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get_last_user_message,
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prepend_to_first_user_message_content,
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openai_chat_chunk_message_template,
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openai_chat_completion_message_template,
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)
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from open_webui.utils.payload import (
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apply_model_params_to_body_openai,
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apply_system_prompt_to_body,
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)
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logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["MAIN"])
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def get_function_module_by_id(request: Request, pipe_id: str):
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function_module, _, _ = get_function_module_from_cache(request, pipe_id)
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if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
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valves = Functions.get_function_valves_by_id(pipe_id)
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function_module.valves = function_module.Valves(**(valves if valves else {}))
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return function_module
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async def get_function_models(request):
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pipes = Functions.get_functions_by_type("pipe", active_only=True)
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pipe_models = []
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for pipe in pipes:
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function_module = get_function_module_by_id(request, pipe.id)
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# Check if function is a manifold
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if hasattr(function_module, "pipes"):
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sub_pipes = []
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# Handle pipes being a list, sync function, or async function
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try:
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if callable(function_module.pipes):
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if asyncio.iscoroutinefunction(function_module.pipes):
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sub_pipes = await function_module.pipes()
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else:
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sub_pipes = function_module.pipes()
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else:
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sub_pipes = function_module.pipes
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except Exception as e:
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log.exception(e)
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sub_pipes = []
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log.debug(
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f"get_function_models: function '{pipe.id}' is a manifold of {sub_pipes}"
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)
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for p in sub_pipes:
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sub_pipe_id = f'{pipe.id}.{p["id"]}'
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sub_pipe_name = p["name"]
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if hasattr(function_module, "name"):
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sub_pipe_name = f"{function_module.name}{sub_pipe_name}"
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pipe_flag = {"type": pipe.type}
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pipe_models.append(
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{
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"id": sub_pipe_id,
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"name": sub_pipe_name,
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"object": "model",
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"created": pipe.created_at,
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"owned_by": "openai",
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"pipe": pipe_flag,
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}
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)
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else:
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pipe_flag = {"type": "pipe"}
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log.debug(
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f"get_function_models: function '{pipe.id}' is a single pipe {{ 'id': {pipe.id}, 'name': {pipe.name} }}"
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)
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pipe_models.append(
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{
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"id": pipe.id,
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"name": pipe.name,
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"object": "model",
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"created": pipe.created_at,
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"owned_by": "openai",
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"pipe": pipe_flag,
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}
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)
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return pipe_models
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async def generate_function_chat_completion(
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request, form_data, user, models: dict = {}
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):
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async def execute_pipe(pipe, params):
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if inspect.iscoroutinefunction(pipe):
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return await pipe(**params)
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else:
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return pipe(**params)
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async def get_message_content(res: str | Generator | AsyncGenerator) -> str:
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if isinstance(res, str):
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return res
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if isinstance(res, Generator):
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return "".join(map(str, res))
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if isinstance(res, AsyncGenerator):
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return "".join([str(stream) async for stream in res])
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def process_line(form_data: dict, line):
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if isinstance(line, BaseModel):
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line = line.model_dump_json()
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line = f"data: {line}"
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if isinstance(line, dict):
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line = f"data: {json.dumps(line)}"
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try:
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line = line.decode("utf-8")
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except Exception:
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pass
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if line.startswith("data:"):
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return f"{line}\n\n"
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else:
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line = openai_chat_chunk_message_template(form_data["model"], line)
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return f"data: {json.dumps(line)}\n\n"
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def get_pipe_id(form_data: dict) -> str:
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pipe_id = form_data["model"]
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if "." in pipe_id:
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pipe_id, _ = pipe_id.split(".", 1)
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return pipe_id
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def get_function_params(function_module, form_data, user, extra_params=None):
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if extra_params is None:
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extra_params = {}
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pipe_id = get_pipe_id(form_data)
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# Get the signature of the function
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sig = inspect.signature(function_module.pipe)
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params = {"body": form_data} | {
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k: v for k, v in extra_params.items() if k in sig.parameters
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}
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if "__user__" in params and hasattr(function_module, "UserValves"):
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user_valves = Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id)
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try:
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params["__user__"]["valves"] = function_module.UserValves(**user_valves)
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except Exception as e:
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log.exception(e)
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params["__user__"]["valves"] = function_module.UserValves()
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return params
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model_id = form_data.get("model")
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model_info = Models.get_model_by_id(model_id)
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metadata = form_data.pop("metadata", {})
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files = metadata.get("files", [])
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tool_ids = metadata.get("tool_ids", [])
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# Check if tool_ids is None
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if tool_ids is None:
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tool_ids = []
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__event_emitter__ = None
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__event_call__ = None
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__task__ = None
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__task_body__ = None
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if metadata:
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if all(k in metadata for k in ("session_id", "chat_id", "message_id")):
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__event_emitter__ = get_event_emitter(metadata)
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__event_call__ = get_event_call(metadata)
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__task__ = metadata.get("task", None)
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__task_body__ = metadata.get("task_body", None)
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extra_params = {
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"__event_emitter__": __event_emitter__,
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"__event_call__": __event_call__,
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"__chat_id__": metadata.get("chat_id", None),
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"__session_id__": metadata.get("session_id", None),
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"__message_id__": metadata.get("message_id", None),
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"__task__": __task__,
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"__task_body__": __task_body__,
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"__files__": files,
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"__user__": user.model_dump() if isinstance(user, UserModel) else {},
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"__metadata__": metadata,
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"__request__": request,
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}
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extra_params["__tools__"] = get_tools(
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request,
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tool_ids,
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user,
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{
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**extra_params,
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"__model__": models.get(form_data["model"], None),
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"__messages__": form_data["messages"],
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"__files__": files,
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},
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)
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if model_info:
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if model_info.base_model_id:
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form_data["model"] = model_info.base_model_id
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params = model_info.params.model_dump()
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if params:
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system = params.pop("system", None)
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form_data = apply_model_params_to_body_openai(params, form_data)
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form_data = apply_system_prompt_to_body(system, form_data, metadata, user)
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pipe_id = get_pipe_id(form_data)
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function_module = get_function_module_by_id(request, pipe_id)
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pipe = function_module.pipe
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params = get_function_params(function_module, form_data, user, extra_params)
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if form_data.get("stream", False):
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async def stream_content():
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try:
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res = await execute_pipe(pipe, params)
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# Directly return if the response is a StreamingResponse
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if isinstance(res, StreamingResponse):
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async for data in res.body_iterator:
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yield data
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return
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if isinstance(res, dict):
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yield f"data: {json.dumps(res)}\n\n"
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return
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except Exception as e:
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log.error(f"Error: {e}")
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yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
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return
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if isinstance(res, str):
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message = openai_chat_chunk_message_template(form_data["model"], res)
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yield f"data: {json.dumps(message)}\n\n"
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if isinstance(res, Iterator):
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for line in res:
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yield process_line(form_data, line)
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if isinstance(res, AsyncGenerator):
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async for line in res:
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yield process_line(form_data, line)
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = openai_chat_chunk_message_template(
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form_data["model"], ""
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)
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finish_message["choices"][0]["finish_reason"] = "stop"
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield "data: [DONE]"
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return StreamingResponse(stream_content(), media_type="text/event-stream")
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else:
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try:
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res = await execute_pipe(pipe, params)
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except Exception as e:
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log.error(f"Error: {e}")
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return {"error": {"detail": str(e)}}
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if isinstance(res, StreamingResponse) or isinstance(res, dict):
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return res
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if isinstance(res, BaseModel):
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return res.model_dump()
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message = await get_message_content(res)
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return openai_chat_completion_message_template(form_data["model"], message)
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