Merge pull request #159 from hummingbot/feat/adapt_ms_to_s

Feat/adapt ms to s
hummingbot · Jul 12, 2024 · 536ba1c · 536ba1c
2 parents 7934522 + d61b817
commit 536ba1c
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/frontend/components/backtesting.py b/frontend/components/backtesting.py
@@ -24,8 +24,8 @@ def backtesting_section(inputs, backend_api_client):
         end_datetime = datetime.combine(end_date, datetime.max.time())
         try:
             backtesting_results = backend_api_client.run_backtesting(
-                start_time=int(start_datetime.timestamp()) * 1000,
-                end_time=int(end_datetime.timestamp()) * 1000,
+                start_time=int(start_datetime.timestamp()),
+                end_time=int(end_datetime.timestamp()),
                 backtesting_resolution=backtesting_resolution,
                 trade_cost=trade_cost / 100,
                 config=inputs,

diff --git a/frontend/pages/config/utils.py b/frontend/pages/config/utils.py
@@ -21,8 +21,8 @@ def get_candles(connector_name="binance", trading_pair="BTC-USDT", interval="1m"
     start_time = end_time - datetime.timedelta(days=days)
 
     df = pd.DataFrame(backend_client.get_historical_candles(connector_name, trading_pair, interval,
-                                                            start_time=int(start_time.timestamp() * 1000),
-                                                            end_time=int(end_time.timestamp() * 1000)))
+                                                            start_time=int(start_time.timestamp()),
+                                                            end_time=int(end_time.timestamp())))
     df.index = pd.to_datetime(df.timestamp, unit='s')
     return df
 
diff --git a/frontend/pages/data/download_candles/app.py b/frontend/pages/data/download_candles/app.py
@@ -29,8 +29,8 @@
         connector=connector,
         trading_pair=trading_pair,
         interval=interval,
-        start_time=int(start_datetime.timestamp()) * 1000,
-        end_time=int(end_datetime.timestamp()) * 1000
+        start_time=int(start_datetime.timestamp()),
+        end_time=int(end_datetime.timestamp())
     )
 
     candles_df = pd.DataFrame(candles)