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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import logging\n", | ||
"\n", | ||
"logging.basicConfig(format='\\033[93m%(asctime)s %(levelname)s %(name)s:\\033[0m %(message)s', level=logging.INFO, datefmt='%I:%M:%S')\n", | ||
"import warnings\n", | ||
"import pandas as pd\n", | ||
"\n", | ||
"warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning)\n", | ||
"warnings.simplefilter(action=\"ignore\", category=pd.errors.SettingWithCopyWarning)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 13, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from src.cache import FileCache\n", | ||
"from src.config import QuoteRequest, ChartConfig, LoadRequest,Source\n", | ||
"from NNTrade.common import TimeFrame\n", | ||
"from datetime import date\n", | ||
"from src.loader import YahooStockQuoteLoader" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"impl = FileCache(\"./output_files\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"expected_request = QuoteRequest(ChartConfig(\"EURUSD=X\",TimeFrame.D), date(2020,2,3), date(2020,2,6))\n", | ||
"expected_load_request = LoadRequest(Source.Yahoo, expected_request)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 9, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"\u001b[93m11:52:01 INFO FileCache:\u001b[0m Load df from file ./output_files/Yahoo__EURUSD=X__Day__2020-02-03__2020-02-06.csv\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"asserted_df = impl.load_df(expected_load_request)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 12, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"1.1065618991851809" | ||
] | ||
}, | ||
"execution_count": 12, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"asserted_df[\"high\"][1]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 16, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"2020-02-03 1.108906\n", | ||
"2020-02-04 1.106562\n", | ||
"2020-02-05 1.104850\n", | ||
"Name: high, dtype: float64" | ||
] | ||
}, | ||
"execution_count": 16, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"asserted_df[\"high\"]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 14, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"\u001b[93m11:52:44 WARNING AbsStockQuoteLoader:\u001b[0m use_cache is True, but cache_logger is None\n", | ||
"\u001b[93m11:52:44 INFO func yahoo_loader.load_stock_candles:\u001b[0m Start download from yahoo finance\n", | ||
"\u001b[93m11:52:44 INFO func yahoo_loader.load_stock_candles:\u001b[0m Download stock EURUSD=X timeframe DAY\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"[*********************100%***********************] 1 of 1 completed\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"expected_df = YahooStockQuoteLoader().download(expected_request)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 15, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"1.1065618991851807" | ||
] | ||
}, | ||
"execution_count": 15, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"expected_df[\"high\"][1]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 17, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"start_date_time\n", | ||
"2020-02-03 1.108906\n", | ||
"2020-02-04 1.106562\n", | ||
"2020-02-05 1.104850\n", | ||
"Name: high, dtype: float64" | ||
] | ||
}, | ||
"execution_count": 17, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"expected_df[\"high\"]" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.11.1" | ||
}, | ||
"orig_nbformat": 4, | ||
"vscode": { | ||
"interpreter": { | ||
"hash": "949777d72b0d2535278d3dc13498b2535136f6dfe0678499012e853ee9abcab1" | ||
} | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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