391 lines
12 KiB
Python
391 lines
12 KiB
Python
import time
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import logging
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import sys
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from aiocache import cached
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from typing import Any, Optional
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import random
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import json
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import inspect
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from fastapi import Request
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from starlette.responses import Response, StreamingResponse
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from open_webui.models.users import UserModel
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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.functions import generate_function_chat_completion
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from open_webui.routers.openai import (
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generate_chat_completion as generate_openai_chat_completion,
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)
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from open_webui.routers.ollama import (
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generate_chat_completion as generate_ollama_chat_completion,
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)
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from open_webui.routers.pipelines import (
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process_pipeline_inlet_filter,
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process_pipeline_outlet_filter,
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)
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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 load_function_module_by_id
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from open_webui.utils.models import get_all_models, check_model_access
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from open_webui.utils.payload import convert_payload_openai_to_ollama
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from open_webui.utils.response import (
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convert_response_ollama_to_openai,
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convert_streaming_response_ollama_to_openai,
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)
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from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL, BYPASS_MODEL_ACCESS_CONTROL
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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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async def generate_chat_completion(
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request: Request,
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form_data: dict,
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user: Any,
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bypass_filter: bool = False,
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):
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if BYPASS_MODEL_ACCESS_CONTROL:
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bypass_filter = True
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models = request.app.state.MODELS
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model_id = form_data["model"]
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if model_id not in models:
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raise Exception("Model not found")
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# Process the form_data through the pipeline
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try:
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form_data = process_pipeline_inlet_filter(request, form_data, user, models)
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except Exception as e:
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raise e
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model = models[model_id]
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# Check if user has access to the model
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if not bypass_filter and user.role == "user":
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try:
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check_model_access(user, model)
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except Exception as e:
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raise e
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if model["owned_by"] == "arena":
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model_ids = model.get("info", {}).get("meta", {}).get("model_ids")
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filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode")
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if model_ids and filter_mode == "exclude":
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model_ids = [
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model["id"]
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for model in list(request.app.state.MODELS.values())
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if model.get("owned_by") != "arena" and model["id"] not in model_ids
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]
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selected_model_id = None
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if isinstance(model_ids, list) and model_ids:
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selected_model_id = random.choice(model_ids)
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else:
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model_ids = [
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model["id"]
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for model in list(request.app.state.MODELS.values())
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if model.get("owned_by") != "arena"
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]
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selected_model_id = random.choice(model_ids)
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form_data["model"] = selected_model_id
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if form_data.get("stream") == True:
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async def stream_wrapper(stream):
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yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n"
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async for chunk in stream:
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yield chunk
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response = await generate_chat_completion(
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request, form_data, user, bypass_filter=True
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)
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return StreamingResponse(
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stream_wrapper(response.body_iterator),
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media_type="text/event-stream",
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background=response.background,
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)
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else:
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return {
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**(
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await generate_chat_completion(
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request, form_data, user, bypass_filter=True
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)
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),
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"selected_model_id": selected_model_id,
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}
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if model.get("pipe"):
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# Below does not require bypass_filter because this is the only route the uses this function and it is already bypassing the filter
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return await generate_function_chat_completion(
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request, form_data, user=user, models=models
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)
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if model["owned_by"] == "ollama":
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# Using /ollama/api/chat endpoint
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form_data = convert_payload_openai_to_ollama(form_data)
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response = await generate_ollama_chat_completion(
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request=request, form_data=form_data, user=user, bypass_filter=bypass_filter
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)
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if form_data.get("stream"):
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response.headers["content-type"] = "text/event-stream"
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return StreamingResponse(
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convert_streaming_response_ollama_to_openai(response),
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headers=dict(response.headers),
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background=response.background,
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)
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else:
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return convert_response_ollama_to_openai(response)
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else:
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return await generate_openai_chat_completion(
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request=request, form_data=form_data, user=user, bypass_filter=bypass_filter
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)
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chat_completion = generate_chat_completion
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async def chat_completed(request: Request, form_data: dict, user: Any):
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if not request.app.state.MODELS:
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await get_all_models(request)
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models = request.app.state.MODELS
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data = form_data
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model_id = data["model"]
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if model_id not in models:
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raise Exception("Model not found")
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model = models[model_id]
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try:
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data = process_pipeline_outlet_filter(request, data, user, models)
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except Exception as e:
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return Exception(f"Error: {e}")
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__event_emitter__ = get_event_emitter(
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{
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"chat_id": data["chat_id"],
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"message_id": data["id"],
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"session_id": data["session_id"],
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"user_id": user.id,
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}
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)
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__event_call__ = get_event_call(
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{
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"chat_id": data["chat_id"],
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"message_id": data["id"],
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"session_id": data["session_id"],
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"user_id": user.id,
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}
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)
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def get_priority(function_id):
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function = Functions.get_function_by_id(function_id)
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if function is not None and hasattr(function, "valves"):
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# TODO: Fix FunctionModel to include vavles
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return (function.valves if function.valves else {}).get("priority", 0)
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return 0
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filter_ids = [function.id for function in Functions.get_global_filter_functions()]
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if "info" in model and "meta" in model["info"]:
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filter_ids.extend(model["info"]["meta"].get("filterIds", []))
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filter_ids = list(set(filter_ids))
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enabled_filter_ids = [
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function.id
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for function in Functions.get_functions_by_type("filter", active_only=True)
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]
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filter_ids = [
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filter_id for filter_id in filter_ids if filter_id in enabled_filter_ids
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]
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# Sort filter_ids by priority, using the get_priority function
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filter_ids.sort(key=get_priority)
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for filter_id in filter_ids:
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filter = Functions.get_function_by_id(filter_id)
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if not filter:
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continue
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if filter_id in request.app.state.FUNCTIONS:
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function_module = request.app.state.FUNCTIONS[filter_id]
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else:
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function_module, _, _ = load_function_module_by_id(filter_id)
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request.app.state.FUNCTIONS[filter_id] = function_module
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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(filter_id)
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function_module.valves = function_module.Valves(
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**(valves if valves else {})
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)
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if not hasattr(function_module, "outlet"):
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continue
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try:
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outlet = function_module.outlet
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# Get the signature of the function
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sig = inspect.signature(outlet)
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params = {"body": data}
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# Extra parameters to be passed to the function
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extra_params = {
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"__model__": model,
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"__id__": filter_id,
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"__event_emitter__": __event_emitter__,
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"__event_call__": __event_call__,
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"__request__": request,
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}
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# Add extra params in contained in function signature
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for key, value in extra_params.items():
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if key in sig.parameters:
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params[key] = value
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if "__user__" in sig.parameters:
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__user__ = {
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"id": user.id,
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"email": user.email,
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"name": user.name,
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"role": user.role,
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}
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try:
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if hasattr(function_module, "UserValves"):
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__user__["valves"] = function_module.UserValves(
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**Functions.get_user_valves_by_id_and_user_id(
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filter_id, user.id
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)
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)
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except Exception as e:
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print(e)
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params = {**params, "__user__": __user__}
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if inspect.iscoroutinefunction(outlet):
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data = await outlet(**params)
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else:
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data = outlet(**params)
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except Exception as e:
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return Exception(f"Error: {e}")
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return data
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async def chat_action(request: Request, action_id: str, form_data: dict, user: Any):
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if "." in action_id:
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action_id, sub_action_id = action_id.split(".")
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else:
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sub_action_id = None
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action = Functions.get_function_by_id(action_id)
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if not action:
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raise Exception(f"Action not found: {action_id}")
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if not request.app.state.MODELS:
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await get_all_models(request)
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models = request.app.state.MODELS
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data = form_data
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model_id = data["model"]
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if model_id not in models:
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raise Exception("Model not found")
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model = models[model_id]
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__event_emitter__ = get_event_emitter(
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{
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"chat_id": data["chat_id"],
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"message_id": data["id"],
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"session_id": data["session_id"],
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"user_id": user.id,
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}
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)
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__event_call__ = get_event_call(
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{
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"chat_id": data["chat_id"],
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"message_id": data["id"],
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"session_id": data["session_id"],
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"user_id": user.id,
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}
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)
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if action_id in request.app.state.FUNCTIONS:
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function_module = request.app.state.FUNCTIONS[action_id]
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else:
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function_module, _, _ = load_function_module_by_id(action_id)
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request.app.state.FUNCTIONS[action_id] = function_module
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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(action_id)
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function_module.valves = function_module.Valves(**(valves if valves else {}))
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if hasattr(function_module, "action"):
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try:
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action = function_module.action
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# Get the signature of the function
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sig = inspect.signature(action)
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params = {"body": data}
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# Extra parameters to be passed to the function
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extra_params = {
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"__model__": model,
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"__id__": sub_action_id if sub_action_id is not None else action_id,
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"__event_emitter__": __event_emitter__,
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"__event_call__": __event_call__,
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"__request__": request,
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}
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# Add extra params in contained in function signature
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for key, value in extra_params.items():
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if key in sig.parameters:
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params[key] = value
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if "__user__" in sig.parameters:
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__user__ = {
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"id": user.id,
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"email": user.email,
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"name": user.name,
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"role": user.role,
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}
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try:
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if hasattr(function_module, "UserValves"):
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__user__["valves"] = function_module.UserValves(
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**Functions.get_user_valves_by_id_and_user_id(
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action_id, user.id
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)
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)
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except Exception as e:
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print(e)
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params = {**params, "__user__": __user__}
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if inspect.iscoroutinefunction(action):
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data = await action(**params)
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else:
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data = action(**params)
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except Exception as e:
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return Exception(f"Error: {e}")
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return data
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