quivr/backend/models/brains.py
Stan Girard 3d11e3fb51
refactor(brain): removed braintoupdate and added brain (#356)
* refactor(brain): removed braintoupdate and added brain

* feat(brain): updated
2023-06-21 10:16:44 +02:00

110 lines
3.3 KiB
Python

from typing import List, Optional, Tuple
from uuid import UUID
from models.settings import CommonsDep, common_dependencies
from pydantic import BaseModel
class Brain(BaseModel):
brain_id: Optional[UUID]
name: Optional[str] = "New Brain"
status: Optional[str] = "public"
model: Optional[str] = "gpt-3.5-turbo-0613"
temperature: Optional[float] = 0.0
max_tokens: Optional[int] = 256
file_sha1: Optional[str] = ""
_commons: Optional[CommonsDep] = None
class Config:
arbitrary_types_allowed = True
@property
def commons(self) -> CommonsDep:
if not self._commons:
self.__class__._commons = common_dependencies()
return self._commons
@classmethod
def create(cls, *args, **kwargs):
commons = common_dependencies()
return cls(commons=commons, *args, **kwargs)
def get_user_brains(self, user_id):
response = (
self.commons["supabase"]
.from_("brains_users")
.select("id:brain_id, brains (id: brain_id, name)")
.filter("user_id", "eq", user_id)
.execute()
)
return [item["brains"] for item in response.data]
def get_brain(self):
response = (
self.commons["supabase"]
.from_("brains")
.select("brainId:brain_id, brainName:brain_name")
.filter("brain_id", "eq", self.brain_id)
.execute()
)
return response.data
def get_brain_details(self):
response = (
self.commons["supabase"]
.from_("brains")
.select("id:brain_id, name, *")
.filter("brain_id", "eq", self.brain_id)
.execute()
)
return response.data
def delete_brain(self):
self.commons["supabase"].table("brains").delete().match(
{"brain_id": self.brain_id}
).execute()
@classmethod
def create_brain(cls, name):
commons = common_dependencies()
response = commons["supabase"].table("brains").insert({"name": name}).execute()
return response.data
def create_brain_user(self, brain_id, user_id, rights):
response = (
self.commons["supabase"]
.table("brains_users")
.insert({"brain_id": brain_id, "user_id": user_id, "rights": rights})
.execute()
)
return response.data
def create_brain_vector(self, vector_id):
response = (
self.commons["supabase"]
.table("brains_users")
.insert({"brain_id": self.brain_id, "vector_id": vector_id})
.execute()
)
return response.data
def get_vector_ids_from_file_sha1(self, file_sha1: str):
vectorsResponse = (
self.commons["supabase"]
.table("vectors")
.select("id")
.filter("metadata->>file_sha1", "eq", file_sha1)
.execute()
)
return vectorsResponse.data
def update_brain_fields(self):
self.commons["supabase"].table("brains").update({"name": self.name}).match(
{"brain_id": self.brain_id}
).execute()
def update_brain_with_file(self, file_sha1: str):
vector_ids = self.get_vector_ids_from_file_sha1(file_sha1)
for vector_id in vector_ids:
self.create_brain_vector(vector_id)