{ "cells": [ { "cell_type": "code", "execution_count": 4, "id": "d1eed397", "metadata": {}, "outputs": [], "source": [ "import modules.structs as structs\n", "import json\n", "from dataclasses import dataclass, asdict\n", "import valkey\n", "import modules.utils as utils\n", "\n", "with open('algo_config.json', 'r', encoding='utf-8') as file:\n", " ALGO_CONFIG = json.load(file)\n", " ALGO_CONFIG = structs.Algo_Config(**ALGO_CONFIG)" ] }, { "cell_type": "code", "execution_count": 5, "id": "c6151613", "metadata": {}, "outputs": [], "source": [ "VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)" ] }, { "cell_type": "code", "execution_count": 38, "id": "d83c61e5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "config_update = {\n", " 'Config': {\n", " # 'Loop_Sleep_Sec': 0.00,\n", " # 'Min_Time_To_Funding_Minutes': 60,\n", " # 'Min_Fund_Rate_Pct_To_Trade': 0.0002,\n", " # 'Price_Worsener_Extend': 0.0,\n", " # 'Price_Worsener_Aster': 0.0,\n", " # 'Switch_To_Taker_Seconds': 1,\n", " },\n", " 'Logging': {\n", " # 'Log_Summary_Each_Loop': False,\n", " 'Print_Summary_Each_Loop': False,\n", " },\n", " # 'Overrides': {\n", " # # 'Allow_Ordering_Aster': True,\n", " # # 'Allow_Ordering_Extend': True,\n", " # # 'Allow_Symbol_Change': False,\n", " # # 'Flip_Side_For_Testing': False,\n", " # # 'Flatten_Open_Positions': False,\n", " # },\n", "}\n", "VAL_KEY.publish('fr_orchestrator_input', json.dumps(config_update))" ] }, { "cell_type": "code", "execution_count": 52, "id": "f5260342", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "order = {'order_id':'test_1'}\n", "VAL_KEY.publish('fr_engine_orders_input', json.dumps(order))" ] }, { "cell_type": "code", "execution_count": null, "id": "940586bb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "cd600e0e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "db52edf9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Timestamp('2026-04-27 15:20:58.950000')" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "pd.to_datetime(1777303258950, unit='ms')" ] }, { "cell_type": "code", "execution_count": 57, "id": "5f7535df", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'{\"ASTER\": {\"mult\": 150, \"lh_asset\": \"ETH\", \"rh_asset\": \"USD\", \"symbol_asset_separator\": \"\"}, \"EXTEND\": {\"mult\": 50, \"lh_asset\": \"ETH\", \"rh_asset\": \"USD\", \"symbol_asset_separator\": \"-\"}}'" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "VAL_KEY.get('fr_algo_working_symbol')" ] }, { "cell_type": "code", "execution_count": 51, "id": "3acaa8cd", "metadata": {}, "outputs": [], "source": [ "ASTER = structs.Perpetual_Exchange(\n", " mult = 150,\n", " lh_asset = 'ETH',\n", " rh_asset = 'USD',\n", " symbol_asset_separator = '',\n", ")\n", "EXTEND = structs.Perpetual_Exchange(\n", " mult = 50,\n", " lh_asset = 'ETH',\n", " rh_asset = 'USD',\n", " symbol_asset_separator = '-',\n", ")" ] }, { "cell_type": "code", "execution_count": 52, "id": "b417adad", "metadata": {}, "outputs": [], "source": [ "best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]\n", "best_symbol_by_exchange_aster = structs.Perpetual_Exchange(**asdict(ASTER))\n", "best_symbol_by_exchange_extend = structs.Perpetual_Exchange(**asdict(EXTEND))" ] }, { "cell_type": "code", "execution_count": 53, "id": "fa5a8e85", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Perpetual_Exchange(mult=50, lh_asset='ETH', rh_asset='USD', symbol_asset_separator='-')" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_symbol_by_exchange_extend" ] }, { "cell_type": "code", "execution_count": 54, "id": "fb81441a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "VAL_KEY.set('fr_algo_working_symbol', json.dumps({'ASTER': asdict(best_symbol_by_exchange_aster), 'EXTEND': asdict(best_symbol_by_exchange_extend)}))" ] }, { "cell_type": "code", "execution_count": null, "id": "09571e38", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "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 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.13" } }, "nbformat": 4, "nbformat_minor": 5 }