Clean up

Author: AlexandreYang

ibm_db2/datadog_checks/ibm_db2/ibm_db2.py

@@ -480,7 +480,7 @@ def query_custom(self):
                     column_type = column.get('type')
                     if not column_type:  # no cov
                         self.log.error(
-                            'Column field `type` is required for column `%s` ' 'of metric_prefix `%s`',
+                            'Column field `type` is required for column `%s` of metric_prefix `%s`',
                             name,
                             metric_prefix,
                         )
@@ -491,7 +491,7 @@ def query_custom(self):
                     else:
                         if not hasattr(self, column_type):
                             self.log.error(
-                                'Invalid submission method `%s` for metric column `%s` of ' 'metric_prefix `%s`',
+                                'Invalid submission method `%s` for metric column `%s` of metric_prefix `%s`',
                                 column_type,
                                 name,
                                 metric_prefix,
@@ -501,7 +501,7 @@ def query_custom(self):
                             metric_info.append(('{}.{}'.format(metric_prefix, name), float(value), column_type))
                         except (ValueError, TypeError):  # no cov
                             self.log.error(
-                                'Non-numeric value `%s` for metric column `%s` of ' 'metric_prefix `%s`',
+                                'Non-numeric value `%s` for metric column `%s` of metric_prefix `%s`',
                                 value,
                                 name,
                                 metric_prefix,

kubelet/datadog_checks/kubelet/prometheus.py

@@ -439,7 +439,7 @@ def _process_limit_metric(self, m_name, metric, cache, scraper_config, pct_m_nam
                     self.gauge(pct_m_name, float(usage / float(limit)), tags)
                 else:
                     self.log.debug(
-                        "No corresponding usage found for metric %s and container %s, skipping usage_pct " "for now.",
+                        "No corresponding usage found for metric %s and container %s, skipping usage_pct for now.",
                         pct_m_name,
                         c_name,
                     )

mysql/datadog_checks/mysql/mysql.py

@@ -954,7 +954,7 @@ def _get_stats_from_innodb_status(self, db):
                 cursor.execute("SHOW /*!50000 ENGINE*/ INNODB STATUS")
         except (pymysql.err.InternalError, pymysql.err.OperationalError, pymysql.err.NotSupportedError) as e:
             self.warning(
-                "Privilege error or engine unavailable accessing the INNODB status tables " "(must grant PROCESS): %s",
+                "Privilege error or engine unavailable accessing the INNODB status tables (must grant PROCESS): %s",
                 e,
             )
             return {}

oracle/datadog_checks/oracle/oracle.py

@@ -186,7 +186,7 @@ def _get_custom_metrics(self, con, custom_queries, global_tags):
                             column_type = column.get('type')
                             if not column_type:
                                 self.log.error(
-                                    'column field `type` is required for column `%s` ' 'of metric_prefix `%s`',
+                                    'column field `type` is required for column `%s` of metric_prefix `%s`',
                                     name,
                                     metric_prefix,
                                 )
@@ -197,7 +197,7 @@ def _get_custom_metrics(self, con, custom_queries, global_tags):
                             else:
                                 if not hasattr(self, column_type):
                                     self.log.error(
-                                        'invalid submission method `%s` for column `%s` "' '"of metric_prefix `%s`',
+                                        'invalid submission method `%s` for column `%s` of metric_prefix `%s`',
                                         column_type,
                                         name,
                                         metric_prefix,
@@ -207,7 +207,7 @@ def _get_custom_metrics(self, con, custom_queries, global_tags):
                                     metric_info.append(('{}.{}'.format(metric_prefix, name), float(value), column_type))
                                 except (ValueError, TypeError):
                                     self.log.error(
-                                        'non-numeric value `%s` for metric column `%s` ' 'of metric_prefix `%s`',
+                                        'non-numeric value `%s` for metric column `%s` of metric_prefix `%s`',
                                         value,
                                         name,
                                         metric_prefix,