chore: pre-commit

Author: Asgmel

tagreader/web_handlers.py

@@ -655,9 +655,7 @@ def generate_sql_query(
                 'dso="CHARINT=N;CHARFLOAT=N;CHARTIME=N;CONVERTERRORS=N" '
                 f'm="{max_rows}" to="30" s="1">'
             )
-        query = query.replace(
-            "\t", " "
-        ).replace(
+        query = query.replace("\t", " ").replace(
             "\n", " "
         )  # Replace new lines and tabs that are typical in formatted SQL queries with spaces.
 
@@ -845,15 +843,17 @@ def generate_read_query(
         if self._is_summary(read_type):
             params["selectedFields"] = "Links;Items.Value.Timestamp;Items.Value.Value"
             if get_status:
-                params["selectedFields"] += (
+                params[
+                    "selectedFields"
+                ] += (
                     ";Items.Value.Good;Items.Value.Questionable;Items.Value.Substituted"
                 )
         elif read_type in [ReaderType.INT, ReaderType.RAW, ReaderType.SHAPEPRESERVING]:
             params["selectedFields"] = "Links;Items.Timestamp;Items.Value"
             if get_status:
-                params["selectedFields"] += (
-                    ";Items.Good;Items.Questionable;Items.Substituted"
-                )
+                params[
+                    "selectedFields"
+                ] += ";Items.Good;Items.Questionable;Items.Substituted"
         elif read_type == ReaderType.SNAPSHOT:
             params["selectedFields"] = "Timestamp;Value"
             if get_status:
@@ -1077,7 +1077,9 @@ def read_tag(
         if get_status:
             df["Status"] = (
                 # Values are boolean, but no need to do .astype(int)
-                df["Questionable"] + 2 * (1 - df["Good"]) + 4 * df["Substituted"]
+                df["Questionable"]
+                + 2 * (1 - df["Good"])
+                + 4 * df["Substituted"]
             )
             df = df.drop(columns=["Good", "Questionable", "Substituted"])
 

tests/test_bucketcache.py

@@ -464,7 +464,7 @@ def test_fetch(cache: BucketCache) -> None:
         end=END_TIME_1 - pd.Timedelta("15m"),
     )
     pd.testing.assert_frame_equal(
-        DF1.loc[START_TIME_1 : END_TIME_1 - pd.Timedelta("15m")],
+        DF1.loc[START_TIME_1 : END_TIME_1 - pd.Timedelta("15m")],  # type: ignore[misc]
         df_read,
         check_freq=False,
     )
@@ -541,9 +541,9 @@ def test_store_overlapping_df(cache: BucketCache) -> None:
     )
     df_expected = pd.concat(
         [
-            DF1[START_TIME_1 : START_TIME_3 - pd.Timedelta(TS, unit="s")],
-            DF3[START_TIME_3:END_TIME_3],
-            DF2[END_TIME_3 + pd.Timedelta(TS, unit="s") : END_TIME_2],
+            DF1[START_TIME_1 : START_TIME_3 - pd.Timedelta(TS, unit="s")],  # type: ignore[misc]
+            DF3[START_TIME_3:END_TIME_3],  # type: ignore[misc]
+            DF2[END_TIME_3 + pd.Timedelta(TS, unit="s") : END_TIME_2],  # type: ignore[misc]
         ]
     )
 

tests/test_cache.py

@@ -114,7 +114,7 @@ def test_interval_reads(
         end=None,
         get_status=get_status,
     )
-    pd.testing.assert_frame_equal(data[start:], df_read)
+    pd.testing.assert_frame_equal(data[start:], df_read)  # type: ignore[misc]
     df_read = cache.fetch(
         tagname="tag1",
         read_type=ReaderType.INT,
@@ -123,7 +123,7 @@ def test_interval_reads(
         end=end,
         get_status=get_status,
     )
-    pd.testing.assert_frame_equal(data[:end], df_read)
+    pd.testing.assert_frame_equal(data[:end], df_read)  # type: ignore[misc]
     df_read = cache.fetch(
         tagname="tag1",
         read_type=ReaderType.INT,
@@ -150,7 +150,7 @@ def test_interval_reads(
         end=end,
         get_status=get_status,
     )
-    pd.testing.assert_frame_equal(data[start:end], df_read)
+    pd.testing.assert_frame_equal(data[start:end], df_read)  # type: ignore[misc]
 
 
 def test_store_empty_df(