mirror of
https://github.com/open-webui/open-webui
synced 2024-11-06 00:32:05 +00:00
126 lines
3.3 KiB
Python
126 lines
3.3 KiB
Python
from fastapi import Response, Request
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from fastapi import Depends, FastAPI, HTTPException, status
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from datetime import datetime, timedelta
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from typing import List, Union, Optional
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from fastapi import APIRouter
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from pydantic import BaseModel
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import logging
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from apps.web.models.memories import Memories, MemoryModel
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from utils.utils import get_verified_user
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from constants import ERROR_MESSAGES
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from config import SRC_LOG_LEVELS, CHROMA_CLIENT
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["MODELS"])
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router = APIRouter()
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@router.get("/ef")
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async def get_embeddings(request: Request):
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return {"result": request.app.state.EMBEDDING_FUNCTION("hello world")}
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############################
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# GetMemories
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############################
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@router.get("/", response_model=List[MemoryModel])
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async def get_memories(user=Depends(get_verified_user)):
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return Memories.get_memories_by_user_id(user.id)
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############################
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# AddMemory
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############################
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class AddMemoryForm(BaseModel):
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content: str
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@router.post("/add", response_model=Optional[MemoryModel])
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async def add_memory(
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request: Request, form_data: AddMemoryForm, user=Depends(get_verified_user)
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):
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memory = Memories.insert_new_memory(user.id, form_data.content)
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memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
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collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
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collection.upsert(
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documents=[memory.content],
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ids=[memory.id],
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embeddings=[memory_embedding],
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metadatas=[{"created_at": memory.created_at}],
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)
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return memory
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############################
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# QueryMemory
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############################
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class QueryMemoryForm(BaseModel):
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content: str
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@router.post("/query")
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async def query_memory(
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request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user)
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):
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query_embedding = request.app.state.EMBEDDING_FUNCTION(form_data.content)
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collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
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results = collection.query(
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query_embeddings=[query_embedding],
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n_results=1, # how many results to return
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)
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return results
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############################
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# ResetMemoryFromVectorDB
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############################
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@router.get("/reset", response_model=bool)
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async def reset_memory_from_vector_db(
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request: Request, user=Depends(get_verified_user)
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):
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CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
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collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
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memories = Memories.get_memories_by_user_id(user.id)
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for memory in memories:
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memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
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collection.upsert(
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documents=[memory.content],
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ids=[memory.id],
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embeddings=[memory_embedding],
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)
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return True
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############################
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# DeleteUserById
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############################
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@router.delete("/{memory_id}", response_model=bool)
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async def delete_memory_by_id(memory_id: str, user=Depends(get_verified_user)):
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result = Memories.delete_memory_by_id_and_user_id(memory_id, user.id)
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if result:
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collection = CHROMA_CLIENT.get_or_create_collection(
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name=f"user-memory-{user.id}"
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)
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collection.delete_document(memory_id)
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return True
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return False
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