Revert "Set DAY_SHIFT=0, update other tests"

This reverts commit a14cce9.

Author: rumackaaron

changehc/delphi_changehc/config.py

@@ -19,7 +19,7 @@ class Config:
     BURN_IN_PERIOD = timedelta(days=1)
 
     # shift dates forward for labeling purposes
-    DAY_SHIFT = timedelta(days=0)
+    DAY_SHIFT = timedelta(days=1)
 
     ## data columns
     COVID_COL = "COVID"

changehc/tests/test_update_sensor.py

@@ -200,7 +200,7 @@ def test_write_to_csv_results(self):
         )
 
         # check outputs
-        expected_name = "20200501_geography_name_of_signal.csv"
+        expected_name = "20200502_geography_name_of_signal.csv"
         assert exists(join(td.name, expected_name))
         output_data = pd.read_csv(join(td.name, expected_name))
         expected_columns = ["geo_id", "val", "se", "sample_size"]
@@ -212,7 +212,7 @@ def test_write_to_csv_results(self):
         assert np.isnan(output_data.se.values).all()
         assert np.isnan(output_data.sample_size.values).all()
 
-        expected_name = "20200502_geography_name_of_signal.csv"
+        expected_name = "20200503_geography_name_of_signal.csv"
         assert exists(join(td.name, expected_name))
         output_data = pd.read_csv(join(td.name, expected_name))
         assert (output_data.columns == expected_columns).all()
@@ -221,7 +221,7 @@ def test_write_to_csv_results(self):
         assert np.isnan(output_data.se.values).all()
         assert np.isnan(output_data.sample_size.values).all()
 
-        expected_name = "20200504_geography_name_of_signal.csv"
+        expected_name = "20200505_geography_name_of_signal.csv"
         assert exists(join(td.name, expected_name))
         output_data = pd.read_csv(join(td.name, expected_name))
         assert (output_data.columns == expected_columns).all()
@@ -255,7 +255,7 @@ def test_write_to_csv_with_se_results(self):
         )
 
         # check outputs
-        expected_name = "20200501_geography_name_of_signal.csv"
+        expected_name = "20200502_geography_name_of_signal.csv"
         assert exists(join(td.name, expected_name))
         output_data = pd.read_csv(join(td.name, expected_name))
         expected_columns = ["geo_id", "val", "se", "sample_size"]