fix: class exception

src/ydata_profiling/model/description.py

@@ -37,7 +37,7 @@ def duration(self) -> Union[timedelta, List[timedelta]]:
                 for i in range(len(self.date_start))
             ]
         else:
-            raise ValueError()
+            raise TypeError()
 
 
 @dataclass

src/ydata_profiling/profile_report.py

@@ -95,7 +95,8 @@ def __init__(
         Args:
             df: a pandas or spark.sql DataFrame
             minimal: minimal mode is a default configuration with minimal computation
-            ts_mode: activates time-series analysis for all the numerical variables from the dataset. Only available for pd.DataFrame
+            ts_mode: activates time-series analysis for all the numerical variables from the dataset.
+            Only available for pd.DataFrame
             sort_by: ignored if ts_mode=False. Order the dataset by a provided column.
             sensitive: hides the values for categorical and text variables for report privacy
             config_file: a config file (.yml), mutually exclusive with `minimal`

src/ydata_profiling/utils/common.py

@@ -1,4 +1,6 @@
 """Common util functions (e.g. missing in Python)."""
+import contextlib
+
 import collections.abc
 import os
 import platform
@@ -96,12 +98,12 @@ def convert_timestamp_to_datetime(timestamp: int) -> datetime:
     else:
         return datetime(1970, 1, 1) + timedelta(seconds=int(timestamp))
 
-
-def analytics_features(dataframe, datatype: bool, report_type: bool):
+def analytics_features(dataframe, datatype: str, report_type: str):
     endpoint = "https://packages.ydata.ai/ydata-profiling?"
 
     if os.getenv("YDATA_PROFILING_NO_ANALYTICS") != True:
         package_version = __version__
+
         try:
             subprocess.check_output("nvidia-smi")
             gpu_present = True
@@ -110,7 +112,7 @@ def analytics_features(dataframe, datatype: bool, report_type: bool):
 
         python_version = ".".join(platform.python_version().split(".")[:2])
 
-        try:
+        with contextlib.suppress(Exception):
             request_message = (
                 f"{endpoint}version={package_version}"
                 f"&python_version={python_version}"
@@ -122,5 +124,4 @@ def analytics_features(dataframe, datatype: bool, report_type: bool):
             )
 
             requests.get(request_message)
-        except Exception:
-            pass
+

src/ydata_profiling/utils/logger.py

@@ -8,17 +8,10 @@
 
 from ydata_profiling.utils.common import analytics_features
 
-
 class ProfilingLogger(logging.Logger):
     def __init__(self, name, level=logging.INFO):
         super().__init__(name, level)
 
-    def info(
-        self,
-        msg: object,
-    ) -> None:
-        super().info(f"[PROFILING] - {msg}.")
-
     def info_def_report(self, dataframe, timeseries: bool):
         if dataframe == pd.DataFrame:
             dataframe = "pandas"