implement pseduo nkode api
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89
nkode_demo.ipynb
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89
nkode_demo.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 12,
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"outputs": [],
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"source": [
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"import string"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2024-07-10T23:28:52.928913Z",
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"start_time": "2024-07-10T23:28:52.924646Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"outputs": [],
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"source": [
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"attributes = string.ascii_letters + string.digits + string.punctuation\n",
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"attributes = attributes.replace(\"'\", \"\")\n",
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"attributes = attributes.replace('\"', \"\")\n",
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"attributes = attributes[:70]"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2024-07-11T11:58:52.615905Z",
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"start_time": "2024-07-11T11:58:52.614545Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"outputs": [
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{
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"data": {
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"text/plain": "70"
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2024-07-11T12:00:03.004548Z",
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"start_time": "2024-07-11T12:00:03.000564Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [],
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"metadata": {
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"collapsed": false
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}
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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@@ -1 +1,2 @@
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pydantic
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bcrypt
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118
src/pseudo_nkode_api.py
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118
src/pseudo_nkode_api.py
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from uuid import UUID, uuid4
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from pydantic import BaseModel
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from src.models import EncipheredNKode
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from src.user_cipher_keys import UserCipherKeys
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from src.nkode_interface import NKodeInterface
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from src.utils import generate_random_index_interface, disperse_interface
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class UserDBModel(BaseModel):
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username: str
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nkode: EncipheredNKode
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user_keys: UserCipherKeys
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user_interface: list[list[int]]
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class CustomerDBModel(BaseModel):
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customer_id: UUID
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interface: NKodeInterface
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users: list[UserDBModel]
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class SessionCacheModel(BaseModel):
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session_id: UUID
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set_interface: list[list[int]] | None
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confirm_interface: list[list[int]] | None
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set_key_entry: list[int] | None
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confirm_key_entry: list[int] | None
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customer_id: UUID
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username: str
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# timeout: datetime
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def create_user(self, customer_interface: NKodeInterface) -> UserDBModel:
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assert (
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self.set_interface and
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self.confirm_interface and
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self.set_key_entry and
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self.confirm_key_entry
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)
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nkode_attr_indices = self._determine_user_nkode_attr_set_index()
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customer_interface.interface
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def _determine_user_nkode_attr_set_index(self) -> list[int]:
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set_entry = self.set_key_entry
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confirm_entry = self.confirm_key_entry
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assert (len(set_entry) == len(confirm_entry))
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set_key_vals = [self.set_interface[key] for key in set_entry]
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confirm_key_vals = [self.confirm_interface[key] for key in confirm_entry]
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overlap = list(set(set_entry) & set(confirm_entry))
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return overlap
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class PseudoNKodeAPI(BaseModel):
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numb_of_keys: int = 10
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attrs_per_key: int = 7
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customers: dict[UUID, CustomerDBModel]
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sessions: dict[UUID, SessionCacheModel]
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def generate_index_interface(self, customer_id: UUID) -> tuple[UUID, list[list[int]]]:
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assert (customer_id in self.customers.keys())
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new_session = SessionCacheModel(
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session_id=uuid4(),
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set_interface=generate_random_index_interface(self.numb_of_keys, self.attrs_per_key),
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customer_id=customer_id
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)
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return new_session.session_id, new_session.set_interface
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def get_login_index_interface(self):
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pass
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def set_nkode(
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self, username: str, customer_id: UUID,
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key_selection: list[int], session_id: UUID) -> list[list[int]]:
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assert (username not in [user.username for user in self.customers[customer_id].users])
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assert (session_id in self.sessions.keys())
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assert (customer_id == self.sessions[session_id].customer_id)
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assert (all(0 <= key <= self.numb_of_keys for key in key_selection))
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self.sessions[session_id].username = username
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self.sessions[session_id].set_key_entry = key_selection
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self.sessions[session_id].confirm_interface = disperse_interface(self.sessions[session_id].set_interface)
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return self.sessions[session_id].confirm_interface
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def confirm_nkode(self, username: str, customer_id: UUID, key_selection: list[int], session_id: UUID):
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assert (
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session_id in self.sessions.keys() and
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customer_id == self.sessions[session_id].customer_id and
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username == self.sessions[session_id].username and
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all(0 <= key <= self.numb_of_keys for key in key_selection)
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)
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customer = self.customers[customer_id]
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numb_of_keys = customer.interface.numb_keys
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attrs_per_key = customer.interface.numb_of_sets
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set_values = customer.interface.set_vals
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new_user_keys = UserCipherKeys.new_user_encipher_keys(numb_of_keys, attrs_per_key, set_values)
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new_user = UserDBModel(
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username=username,
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nkode=EncipheredNKode(),
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user_keys=new_user_keys,
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user_interface=self.sessions[session_id].confirm_interface
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)
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self.customers[customer_id].users.append(new_user)
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def login(self):
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pass
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def renew_keys(self):
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pass
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def create_new_customer(self, numb_keys: int, numb_sets: int) -> CustomerDBModel:
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new_customer = CustomerDBModel(
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customer_id=uuid4(),
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interface=NKodeInterface.new_interface(numb_keys, numb_sets),
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users=[],
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)
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self.customers[new_customer.customer_id] = new_customer
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return new_customer
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43
test/test_pseudo_nkode_api.py
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43
test/test_pseudo_nkode_api.py
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import pytest
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from src.pseudo_nkode_api import UserDBModel
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from src.utils import generate_random_index_interface, disperse_interface
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from src.models import EncipheredNKode
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from src.user_cipher_keys import UserCipherKeys
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def attribute_adjacency_graph(interface: list[list[int]]) -> dict[int, set[int]]:
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graph = {}
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for attr_set in interface:
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for attr in attr_set:
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graph[attr] = set(attr_set)
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graph[attr].remove(attr)
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return graph
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@pytest.mark.parametrize("user", [
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(
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UserDBModel(
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username="test",
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nkode=EncipheredNKode(
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code="",
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mask=""
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),
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user_keys=UserCipherKeys.new_user_encipher_keys(
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numb_of_keys=10,
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attrs_per_key=7,
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set_values=list(range(7))
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),
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user_interface=generate_random_index_interface(10, 7),
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)
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)
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])
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def test_dispersion(user):
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pre_dispersion_interface = user.user_interface
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post_dispersion_interface = disperse_interface(user.user_interface)
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pre_dispresion_graph = attribute_adjacency_graph(pre_dispersion_interface)
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post_dispersion_graph = attribute_adjacency_graph(post_dispersion_interface)
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for _ in range(10000):
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for attr, adj_graph in pre_dispresion_graph.items():
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assert (adj_graph.isdisjoint(post_dispersion_graph[attr]))
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