"""Find a single document matching the filter.
The search is based on the effect of a quantum loop.
The search effectiveness depends on the number of processor threads.
Ideally, hundreds and even thousands of threads are required.
"""
import anyio
import datetime
from typing import Annotated
from pydantic import BaseModel, EmailStr
from pydantic_extra_types.phone_numbers import PhoneNumber, PhoneNumberValidator
from scruby import Scruby, constants
from pprint import pprint as pp
constants.DB_ROOT = "ScrubyDB" # By default = "ScrubyDB"
constants.HASH_REDUCE_LEFT = 6 # 256 branches in collection
# (main purpose is tests).
class User(BaseModel):
"""Model of User."""
first_name: str
last_name: str
birthday: datetime.datetime
email: EmailStr
phone: Annotated[PhoneNumber, PhoneNumberValidator(number_format="E164")]
async def main() -> None:
"""Example."""
# Get collection of `User`.
user_coll = Scruby(User)
# Create user.
user = User(
first_name="John",
last_name="Smith",
birthday=datetime.datetime(1970, 1, 1),
email="John_Smith@gmail.com",
phone="+447986123456",
)
# Add user to collection.
await user_coll.add_key(user.phone, user)
# Find user by email.
user_details: User | None = user_coll.find_one(
filter_fn=lambda doc: doc.email == "John_Smith@gmail.com",
)
if user_details is not None:
pp(user_details)
else:
print("No User!")
# Find user by birthday.
user_details: User | None = user_coll.find_one(
filter_fn=lambda doc: doc.birthday == datetime.datetime(1970, 1, 1),
)
if user_details is not None:
pp(user_details)
else:
print("No User!")
# Full database deletion.
# Hint: The main purpose is tests.
await Scruby.napalm()
if __name__ == "__main__":
anyio.run(main)