quivr/backend/models/users.py
Matt e931d29017
feat: new classes (#499)
* feat: new classes

* chore: private llm refactor and enable streaming

* fix: validation errors in pytest

* fix: default brain behavior

* Update backend/llm/base.py

* chore: remove 🪦

* fix: remove 🪦
2023-07-04 16:56:54 +01:00

69 lines
2.0 KiB
Python

from typing import Optional
from uuid import UUID
from logger import get_logger
from models.settings import common_dependencies
from pydantic import BaseModel
logger = get_logger(__name__)
class User(BaseModel):
id: UUID
email: Optional[str]
user_openai_api_key: Optional[str] = None
requests_count: int = 0
# [TODO] Rename the user table and its references to 'user_usage'
def create_user(self, date):
commons = common_dependencies()
logger.info(f"New user entry in db document for user {self.email}")
return (
commons["supabase"]
.table("users")
.insert(
{
"user_id": self.id,
"email": self.email,
"date": date,
"requests_count": 1,
}
)
.execute()
)
def get_user_request_stats(self):
commons = common_dependencies()
requests_stats = (
commons["supabase"]
.from_("users")
.select("*")
.filter("user_id", "eq", self.id)
.execute()
)
return requests_stats.data
def fetch_user_requests_count(self, date):
commons = common_dependencies()
response = (
commons["supabase"]
.from_("users")
.select("*")
.filter("user_id", "eq", self.id)
.filter("date", "eq", date)
.execute()
)
userItem = next(iter(response.data or []), {"requests_count": 0})
return userItem["requests_count"]
def increment_user_request_count(self, date):
commons = common_dependencies()
requests_count = self.fetch_user_requests_count(date) + 1
logger.info(f"User {self.email} request count updated to {requests_count}")
commons["supabase"].table("users").update(
{"requests_count": requests_count}
).match({"user_id": self.id, "date": date}).execute()
self.requests_count = requests_count