added support for more metadata in the strategy

freqtrade/aws/backtesting_lambda.py

@@ -215,7 +215,7 @@ def _store_aggregated_data(interval, name, result, timerange, user):
                 "losses": row[6],
                 "wins": row[5],
                 "duration": row[4],
-                "profit_percent": row[2],
+                "profit_percent": row[2]
             }
 
             print(data)

freqtrade/aws/strategy.py

@@ -199,7 +199,6 @@ def __evaluate(data):
     data['type'] = "strategy"
     data['roi'] = strat.minimal_roi
     data['stoploss'] = strat.stoploss
-    data['ticker'] = strat.ticker_interval
 
     # ensure that the modified file is saved
     data['content'] = urlsafe_b64encode(strategy.encode('utf-8'))

freqtrade/aws/trade.py

@@ -1,7 +1,7 @@
 import boto3
 import simplejson as json
 import os
-from freqtrade.aws.tables import get_trade_table
+from freqtrade.aws.tables import get_trade_table, get_strategy_table
 from boto3.dynamodb.conditions import Key, Attr
 
 
@@ -15,6 +15,23 @@ def store(event, context):
         for x in event['Records']:
             if 'Sns' in x and 'Message' in x['Sns']:
                 data = json.loads(x['Sns']['Message'], use_decimal=True)
+
+                table = get_strategy_table()
+
+                response = table.query(
+                    KeyConditionExpression=Key('user').eq(data['user']) &
+                                           Key('name').eq(data['strategy'])
+                )
+
+                if "Items" in response and len(response['Items']) > 0:
+                    item = response['Items'][0]
+
+                    data['strategy'] = {
+                        "name": item['name'],
+                        "user": item['user'],
+                        "public": item['public']
+                    }
+
                     get_trade_table().put_item(Item=data)