MAINT: handle value errors also for tsv and csv

src/caosadvancedtools/table_importer.py

@@ -406,8 +406,16 @@ class XLSImporter(TableImporter):
 
 class CSVImporter(TableImporter):
     def read_file(self, filename, sep=",", **kwargs):
-        df = pd.read_csv(filename, sep=sep, converters=self.converters,
-                         **kwargs)
+        try:
+            df = pd.read_csv(filename, sep=sep, converters=self.converters,
+                             **kwargs)
+        except ValueError as ve:
+            logger.warning(
+                "Cannot parse {}.".format(filename),
+                extra={'identifier': str(filename),
+                       'category': "inconsistency"})
+            raise DataInconsistencyError(*ve.args)
+
         self.check_dataframe(df, filename)
 
         return df
@@ -415,8 +423,16 @@ class CSVImporter(TableImporter):
 
 class TSVImporter(TableImporter):
     def read_file(self, filename, **kwargs):
-        df = pd.read_csv(filename, sep="\t", converters=self.converters,
-                         **kwargs)
+        try:
+            df = pd.read_csv(filename, sep="\t", converters=self.converters,
+                             **kwargs)
+        except ValueError as ve:
+            logger.warning(
+                "Cannot parse {}.".format(filename),
+                extra={'identifier': str(filename),
+                       'category': "inconsistency"})
+            raise DataInconsistencyError(*ve.args)
+
         self.check_dataframe(df, filename)
 
         return df