update forecast test with no ts

tests/unit/test_forecast_no_ts.py

@@ -7,22 +7,21 @@ def test_run_forecast_no_ts():
     # make input data
     site = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25)
 
-    current_ts = pd.Timestamp.now().round("15min")
-    current_hr = pd.Timestamp.now().round(freq='h')
+    current_ts = pd.Timestamp.now()
 
     # run gradient boosting model with no ts
-    predications_df = run_forecast(site=site, model="gb", ts=current_ts)
+    predications_df = run_forecast(site=site, model="gb")
     # check current ts agrees with dataset
-    assert predications_df.index.min() == current_ts
+    assert predications_df.index.min() >= current_ts - pd.Timedelta(hours=1)
 
     print(predications_df)
     print(f"Current time: {current_ts}")
     print(f"Max: {predications_df['power_kw'].max()}")
 
     # run xgb model with no ts
-    predications_df = run_forecast(site=site, model="xgb", ts=current_ts)
+    predications_df = run_forecast(site=site, model="xgb")
     # check current ts agrees with dataset
-    assert predications_df.index.min() == current_hr
+    assert predications_df.index.min() >= current_ts - pd.Timedelta(hours=1)
 
     print(predications_df)
     print(f"Current time: {current_ts}")