{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ac27075d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from dataclasses import dataclass, asdict\n",
    "\n",
    "@dataclass(kw_only=True)\n",
    "class Algo_Config:\n",
    "    Allow_Ordering_Aster: bool\n",
    "    Allow_Ordering_Extend: bool\n",
    "    Loop_Sleep_Sec: int\n",
    "    Min_Time_To_Funding_Minutes: int\n",
    "    Price_Worsener_Aster: float\n",
    "    Price_Worsener_Extend: float\n",
    "    Target_Open_Cash_Position: int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d1eed397",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('algo_config.json', 'r', encoding='utf-8') as file:\n",
    "    ALGO_CONFIG = json.load(file, object_hook=lambda d: Algo_Config(**d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "286bf2d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Algo_Config(Allow_Ordering_Aster=True, Allow_Ordering_Extend=True, Loop_Sleep_Sec=1, Min_Time_To_Funding_Minutes=7, Price_Worsener_Aster=0.0, Price_Worsener_Extend=0.0, Target_Open_Cash_Position=10)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ALGO_CONFIG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0cbed6d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = asdict(ALGO_CONFIG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "daa47980",
   "metadata": {},
   "outputs": [],
   "source": [
    "d_update = {'Allow_Ordering_Aster': False}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "aba7797b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Allow_Ordering_Aster': True,\n",
       " 'Allow_Ordering_Extend': True,\n",
       " 'Loop_Sleep_Sec': 1,\n",
       " 'Min_Time_To_Funding_Minutes': 7,\n",
       " 'Price_Worsener_Aster': 0.0,\n",
       " 'Price_Worsener_Extend': 0.0,\n",
       " 'Target_Open_Cash_Position': 10}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3250cb84",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "expected ':' (3324129842.py, line 1)",
     "output_type": "error",
     "traceback": [
      "  \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[43]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[31m    \u001b[39m\u001b[31mif d.get(d_update)\u001b[39m\n                      ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m expected ':'\n"
     ]
    }
   ],
   "source": [
    "if d.get(d_update)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e283b819",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['Allow_Ordering_Aster'])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(d_update.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f067c02",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2e26271",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0df43de",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py_313",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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   "pygments_lexer": "ipython3",
   "version": "3.13.12"
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 "nbformat": 4,
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