added some more testing as well as cron expression is now scheduling larger intervals

This commit is contained in:
Gert Wohlgemuth
2018-06-05 16:04:43 -07:00
parent 19a525265f
commit 473339f740
5 changed files with 209 additions and 95 deletions

View File

@@ -72,7 +72,7 @@ def backtest(event, context):
refresh = True
if 'refresh' in event['body']:
refresh = event['body']
refresh = event['body']['refresh']
print("time range between dates is: {} days".format(timerange))
@@ -96,15 +96,13 @@ def backtest(event, context):
if "local" in event['body'] and event['body']['local']:
print("running in local mode")
run_backtest(configuration, name, user, ticker, timerange)
return {
"statusCode": 200
}
else:
print("running in remote mode")
return {
"statusCode": 200,
"body": json.dumps(_submit_job(configuration, user, ticker, timerange))
}
json.dumps(_submit_job(configuration, user, ticker, timerange))
return {
"statusCode": 200
}
else:
return {
"statusCode": 404,
@@ -340,34 +338,31 @@ def cron(event, context):
for i in response['Items']:
# fire a message to our queue
message = {
"user": i['user'],
"name": i['name'],
"assets": i['assets'],
"stake_currency": i['stake_currency']
}
# we want to evaluate several time spans for the strategy
for day in [1, 7, 30, 90]:
# triggered over html, let's provide
# a date range for the backtesting
if 'pathParameters' in event:
if 'from' in event['pathParameters']:
message['from'] = event['pathParameters']['from']
else:
message['from'] = datetime.datetime.today().strftime('%Y%m%d')
if 'till' in event['pathParameters']:
message['till'] = event['pathParameters']['till']
else:
message['till'] = (datetime.datetime.today() - datetime.timedelta(days=1)).strftime('%Y%m%d')
# we want to evaluate several time intervals for each strategy
for interval in ['5m', '15m', '30m', '1h']:
message = {
"user": i['user'],
"name": i['name'],
"assets": i['assets'],
"stake_currency": i['stake_currency'],
"local": False,
"refresh": True,
"ticker": interval,
"days": day
}
serialized = json.dumps(message, use_decimal=True)
# submit item to queue for routing to the correct persistence
serialized = json.dumps(message, use_decimal=True)
# submit item to queue for routing to the correct persistence
result = client.publish(
TopicArn=topic_arn,
Message=json.dumps({'default': serialized}),
Subject="schedule",
MessageStructure='json'
)
result = client.publish(
TopicArn=topic_arn,
Message=json.dumps({'default': serialized}),
Subject="schedule",
MessageStructure='json'
)
if 'LastEvaluatedKey' in response:
return table.scan(

View File

@@ -278,56 +278,3 @@ def submit_github(event, context):
"statusCode": 404,
"body": json.dumps({"error": result})
}
def get_trades(event, context):
"""
this function retuns all the knowns trades for a user, strategy and pair
:param event:
:param context:
:return:
"""
assert 'pathParameters' in event
assert 'user' in event['pathParameters']
assert 'name' in event['pathParameters']
assert 'stake' in event['pathParameters']
assert 'asset' in event['pathParameters']
table = get_trade_table()
response = table.query(
KeyConditionExpression=Key('id').eq(
"{}.{}:{}/{}".format(
event['pathParameters']['user'],
event['pathParameters']['name'],
event['pathParameters']['asset'].upper(),
event['pathParameters']['stake'].upper()
)
)
)
if "Items" in response and len(response['Items']) > 0:
# preparation for pagination
# TODO include in parameters an optional
# start key ExclusiveStartKey=response['LastEvaluatedKey']
data = {
"result": response['Items'],
"paginationKey": response.get('LastEvaluatedKey')
}
return {
"statusCode": response['ResponseMetadata']['HTTPStatusCode'],
"body": json.dumps(data)
}
else:
return {
"statusCode": 404,
"body": json.dumps({
"error": "sorry this query did not produce any results",
"event": event
})
}

View File

@@ -2,6 +2,7 @@ import boto3
import simplejson as json
import os
from freqtrade.aws.tables import get_trade_table
from boto3.dynamodb.conditions import Key, Attr
def store(event, context):
@@ -41,3 +42,70 @@ def submit(event, context):
"statusCode": 200,
"body": json.dumps(result)
}
def get_aggregated_trades(event, context):
"""
returns the aggregated trades for the given key combination
:param event:
:param context:
:return:
"""
assert 'pathParameters' in event
assert 'user' in event['pathParameters']
assert 'name' in event['pathParameters']
assert 'ticker' in event['pathParameters']
assert 'days' in event['pathParameters']
def get_trades(event, context):
"""
this function returns all the known trades for a user, strategy and pair
:param event:
:param context:
:return:
"""
assert 'pathParameters' in event
assert 'user' in event['pathParameters']
assert 'name' in event['pathParameters']
assert 'stake' in event['pathParameters']
assert 'asset' in event['pathParameters']
table = get_trade_table()
response = table.query(
KeyConditionExpression=Key('id').eq(
"{}.{}:{}/{}".format(
event['pathParameters']['user'],
event['pathParameters']['name'],
event['pathParameters']['asset'].upper(),
event['pathParameters']['stake'].upper()
)
)
)
if "Items" in response and len(response['Items']) > 0:
# preparation for pagination
# TODO include in parameters an optional
# start key ExclusiveStartKey=response['LastEvaluatedKey']
data = {
"result": response['Items'],
"paginationKey": response.get('LastEvaluatedKey')
}
return {
"statusCode": response['ResponseMetadata']['HTTPStatusCode'],
"body": json.dumps(data)
}
else:
return {
"statusCode": 404,
"body": json.dumps({
"error": "sorry this query did not produce any results",
"event": event
})
}