fixing backtesting and perisstence
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@@ -1,13 +1,11 @@
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import logging
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import boto3
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import os
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from freqtrade.arguments import Arguments
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from freqtrade.configuration import Configuration
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from freqtrade.optimize.backtesting import Backtesting
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import boto3
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import simplejson as json
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from boto3.dynamodb.conditions import Key, Attr
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from boto3.dynamodb.conditions import Key
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from freqtrade.aws.tables import get_trade_table, get_strategy_table
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from freqtrade.optimize.backtesting import Backtesting
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db = boto3.resource('dynamodb')
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@@ -30,6 +28,9 @@ def backtest(event, context):
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'exchange' : name of the exchange we should be using
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}
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it should be invoked by SNS only to avoid abuse of the system!
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:param context:
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standard AWS context, so pleaes ignore for now!
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:return:
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@@ -40,13 +41,16 @@ def backtest(event, context):
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event['body'] = json.loads(event['body'])
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name = event['body']['name']
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user = event['body']['user']
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# technically we can get all these from teh strategy table
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stake_currency = event['body']['stake_currency'].upper()
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asset = event['body']['asset']
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exchange = event['body']['exchange']
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assets = list(map(lambda x: "{}/{}".format(x, stake_currency).upper(), asset))
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table = db.Table(os.environ['strategyTable'])
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trade_table = get_trade_table()
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table = get_strategy_table()
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response = table.query(
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KeyConditionExpression=Key('user').eq(user) &
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@@ -104,27 +108,33 @@ def backtest(event, context):
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print("persist data in dynamo")
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print(result)
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for index, row in result.iterrows():
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if row['loss'] > 0 or row['profit'] > 0:
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item = {
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"id": "{}.{}:{}".format(user, name, row['pair']),
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"pair": row['pair'],
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"count_profit": row['profit'],
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"count_loss": row['loss'],
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"avg_duration": row['avg duration'],
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"avg profit": row['avg profit %'],
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"total profit": row['total profit {}'.format(stake_currency)]
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data = {
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"id": "{}.{}:{}".format(user, name, row['currency']),
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"trade": "{} to {}".format(row['entry'].strftime('%Y-%m-%d %H:%M:%S'),
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row['exit'].strftime('%Y-%m-%d %H:%M:%S')),
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"pair": row['currency'],
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"duration": row['duration'],
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"profit_percent": row['profit_percent'],
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"profit_stake": row['profit_BTC'],
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"entry_date": row['entry'].strftime('%Y-%m-%d %H:%M:%S'),
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"exit_date": row['exit'].strftime('%Y-%m-%d %H:%M:%S')
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}
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}
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print(item)
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data = json.dumps(data, use_decimal=True)
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data = json.loads(data, use_decimal=True)
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print(data)
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# persist data
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trade_table.put_item(Item=data)
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else:
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raise Exception("sorry we did not find any matching strategy for user {} and name {}".format(user, name))
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raise Exception(
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"sorry we did not find any matching strategy for user {} and name {}".format(user, name))
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else:
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raise Exception("no body provided")
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def submit(event, context):
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def cron(event, context):
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"""
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this functions submits a new strategy to the backtesting queue
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@@ -133,8 +143,56 @@ def submit(event, context):
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:param context:
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:return:
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"""
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# if topic exists, we just reuse it
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client = boto3.client('sns')
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topic_arn = client.create_topic(Name=os.environ['topic'])['TopicArn']
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table = get_strategy_table()
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response = table.scan()
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def fetch(response, table):
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"""
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fetches all strategies from the server
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technically code duplications
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TODO refacture
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:param response:
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:param table:
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:return:
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"""
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for i in response['Items']:
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# fire a message to our queue
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print(i)
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message = {
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"user": i['user'],
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"name": i['name']
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}
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serialized = json.dumps(message, use_decimal=True)
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# submit item to queue for routing to the correct persistence
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result = client.publish(
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TopicArn=topic_arn,
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Message=json.dumps({'default': serialized}),
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Subject="schedule backtesting",
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MessageStructure='json'
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)
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print(result)
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if 'LastEvaluatedKey' in response:
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return table.scan(
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ExclusiveStartKey=response['LastEvaluatedKey']
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)
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else:
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return {}
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# do/while simulation
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response = fetch(response, table)
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while 'LastEvaluatedKey' in response:
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response = fetch(response, table)
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pass
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if __name__ == '__main__':
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backtest({}, {})
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