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[Backtesting][Converter] Add csv converter
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Backtesting/converters/exchanges/csv_data_converter/__init__.py
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from .csv_converter import CSVDataConverter |
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Backtesting/converters/exchanges/csv_data_converter/csv_converter.pxd
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# cython: language_level=3 | ||
# Drakkar-Software OctoBot-Tentacles | ||
# Copyright (c) Drakkar-Software, All rights reserved. | ||
# | ||
# This library is free software; you can redistribute it and/or | ||
# modify it under the terms of the GNU Lesser General Public | ||
# License as published by the Free Software Foundation; either | ||
# version 3.0 of the License, or (at your option) any later version. | ||
# | ||
# This library is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | ||
# Lesser General License for more details. | ||
# | ||
# You should have received a copy of the GNU Lesser General Public | ||
# License along with this library. | ||
from octobot_backtesting.converters.data_converter cimport DataConverter | ||
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cdef class CSVDataConverter(DataConverter): | ||
pass |
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Backtesting/converters/exchanges/csv_data_converter/csv_converter.py
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# Drakkar-Software OctoBot-Tentacles | ||
# Copyright (c) Drakkar-Software, All rights reserved. | ||
# | ||
# This library is free software; you can redistribute it and/or | ||
# modify it under the terms of the GNU Lesser General Public | ||
# License as published by the Free Software Foundation; either | ||
# version 3.0 of the License, or (at your option) any later version. | ||
# | ||
# This library is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | ||
# Lesser General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU Lesser General Public | ||
# License along with this library. | ||
import asyncio | ||
import csv | ||
import datetime | ||
import json | ||
import math | ||
import os.path as path | ||
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from octobot_commons import symbol_util | ||
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import octobot_backtesting.collectors.exchanges as exchanges | ||
import octobot_backtesting.constants as backtesting_constants | ||
import octobot_backtesting.converters as converters | ||
import octobot_backtesting.data as backtesting_data | ||
import octobot_backtesting.enums as backtesting_enums | ||
import octobot_commons.constants as commons_constants | ||
import octobot_commons.enums as commons_enums | ||
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class CSVDataConverter(converters.DataConverter): | ||
""" | ||
CSVDataConverter can be used to convert a csv data file into OctoBot data file. | ||
""" | ||
DATA_FILE_EXT = ".csv" | ||
VERSION = "1.0" | ||
DATA_FILE_TIME_DATE_FORMAT = '%Y%m%d%H%M%S' | ||
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def __init__(self, backtesting_file_to_convert): | ||
super().__init__(backtesting_file_to_convert) | ||
self.exchange_name = "" | ||
self.symbol = "" | ||
self.time_data = -1 | ||
self.time_frames = [] | ||
self.file_content = {} | ||
self.file_headers = [] | ||
self.database = None | ||
self.converted_file = backtesting_data.get_backtesting_file_name(exchanges.AbstractExchangeHistoryCollector) | ||
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async def can_convert(self, ) -> bool: | ||
with open(self.file_to_convert, "r") as csv_file: | ||
self.file_content = csv.DictReader(csv_file, delimiter=',') | ||
self.file_headers = self.file_content.fieldnames | ||
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self.exchange_name, self.symbol, time_frame = CSVDataConverter._interpret_file_name(self.file_to_convert) | ||
self.time_frames = [commons_enums.TimeFrames(time_frame)] | ||
if not all([ | ||
commons_enums.PriceStrings.STR_PRICE_TIME.value in self.file_headers, | ||
commons_enums.PriceStrings.STR_PRICE_OPEN.value in self.file_headers, | ||
commons_enums.PriceStrings.STR_PRICE_HIGH.value in self.file_headers, | ||
commons_enums.PriceStrings.STR_PRICE_LOW.value in self.file_headers, | ||
commons_enums.PriceStrings.STR_PRICE_CLOSE.value in self.file_headers, | ||
commons_enums.PriceStrings.STR_PRICE_VOL.value in self.file_headers, | ||
]): | ||
return False | ||
return True | ||
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async def convert(self) -> bool: | ||
try: | ||
self.database = backtesting_data.DataBase( | ||
path.join(backtesting_constants.BACKTESTING_FILE_PATH, self.converted_file)) | ||
await self.database.initialize() | ||
await self._create_description() | ||
with open(self.file_to_convert, "r") as csv_file: | ||
self.file_content = csv.DictReader(csv_file, delimiter=',') | ||
for time_frame in self.time_frames: | ||
await self._convert_ohlcv(time_frame) | ||
return True | ||
except Exception as e: | ||
self.logger.exception(e, True, f"Error while converting data file: {e}") | ||
return False | ||
finally: | ||
if self.database is not None: | ||
await self.database.stop() | ||
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async def _create_description(self): | ||
time_object = datetime.datetime.fromtimestamp(self.time_data) | ||
await self.database.insert(backtesting_enums.DataTables.DESCRIPTION, | ||
timestamp=datetime.datetime.timestamp(time_object), | ||
version=self.VERSION, | ||
exchange=self.exchange_name, | ||
symbols=json.dumps([self.symbol]), | ||
time_frames=json.dumps([tf.value for tf in self.time_frames])) | ||
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async def _convert_ohlcv(self, time_frame): | ||
# use time_frame_sec to add time to save the candle closing time | ||
time_frame_sec = commons_enums.TimeFramesMinutes[time_frame] * commons_constants.MINUTE_TO_SECONDS | ||
candles = self._get_formatted_candles() | ||
await self.database.insert_all(backtesting_enums.ExchangeDataTables.OHLCV, | ||
timestamp=[candle[0] + time_frame_sec for candle in candles], | ||
exchange_name=self.exchange_name, symbol=self.symbol, | ||
time_frame=time_frame.value, candle=[json.dumps(c) for c in candles]) | ||
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def _get_formatted_candles(self): | ||
candles = [] | ||
candle_index = 0 | ||
for row in self.file_content: | ||
candle_data = [None] * len(commons_enums.PriceIndexes) | ||
if self.time_data == -1: | ||
self.time_data = int(row[commons_enums.PriceStrings.STR_PRICE_TIME.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_CLOSE.value] = \ | ||
float(row[commons_enums.PriceStrings.STR_PRICE_CLOSE.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_OPEN.value] = \ | ||
float(row[commons_enums.PriceStrings.STR_PRICE_OPEN.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_HIGH.value] = \ | ||
float(row[commons_enums.PriceStrings.STR_PRICE_HIGH.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_LOW.value] = \ | ||
float(row[commons_enums.PriceStrings.STR_PRICE_LOW.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_TIME.value] = \ | ||
int(row[commons_enums.PriceStrings.STR_PRICE_TIME.value]) | ||
candle_data[commons_enums.PriceIndexes.IND_PRICE_VOL.value] = \ | ||
float(row[commons_enums.PriceStrings.STR_PRICE_VOL.value]) | ||
if all(not math.isnan(v) for v in candle_data): | ||
candles.insert(candle_index, candle_data) | ||
candle_index += 1 | ||
return candles | ||
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@staticmethod | ||
def _interpret_file_name(file_name): | ||
""" | ||
Should be named like exchange_symbol_timeframe.csv (bitstamp_BTC_USD_1m.csv) | ||
""" | ||
data = path.basename(file_name).split("_") | ||
try: | ||
exchange_name = data[0] | ||
symbol = symbol_util.merge_currencies(data[1], data[2]) | ||
file_ext = CSVDataConverter.DATA_FILE_EXT | ||
time_frame = data[3].replace(file_ext, "") | ||
except KeyError: | ||
exchange_name = None | ||
symbol = None | ||
time_frame = None | ||
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return exchange_name, symbol, time_frame |
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Backtesting/converters/exchanges/csv_data_converter/metadata.json
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{ | ||
"version": "1.2.0", | ||
"origin_package": "OctoBot-Default-Tentacles", | ||
"tentacles": ["CSVDataConverter"], | ||
"tentacles-requirements": [] | ||
} |