optimizing trade db handling to lower monthly cost

freqtrade/tests/aws/test_trade.py

@@ -0,0 +1,40 @@
+from freqtrade.aws.trade import store
+from freqtrade.aws.tables import get_trade_table
+import simplejson as json
+from boto3.dynamodb.conditions import Key, Attr
+
+
+def test_store(lambda_context):
+    store({
+        "Records": [
+            {
+                "Sns": {
+                    "Subject": "trade",
+                    "Message": json.dumps(
+                        {
+                            'id': 'GCU4LW2XXZW3A3FM2XZJTEJHNWHTWDKY2DIJLCZJ5ULVZ4K7LZ7D23TG.MyFancyTestStrategy:BTC/USDT:test',
+                            'trade': '2018-05-05 14:15:00 to 2018-05-18 00:40:00',
+                            'pair': 'BTC/USDT',
+                            'duration': 625,
+                            'profit_percent': -0.20453928,
+                            'profit_stake': -0.20514198,
+                            'entry_date': '2018-05-05 14:15:00',
+                            'exit_date': '2018-05-18 00:40:00'
+                        }
+                    )
+                }
+            }]
+    }
+        , {})
+
+    # trade table should not have 1 item in it, with our given key
+
+    table = get_trade_table()
+    response = table.query(
+        KeyConditionExpression=Key('id')
+            .eq('GCU4LW2XXZW3A3FM2XZJTEJHNWHTWDKY2DIJLCZJ5ULVZ4K7LZ7D23TG.MyFancyTestStrategy:BTC/USDT:test')
+    )
+
+    print(response)
+    assert 'Items' in response
+    assert len(response['Items']) == 1