diff --git a/python/helpers/pydev/_pydevd_bundle/tables/pydevd_pandas.py b/python/helpers/pydev/_pydevd_bundle/tables/pydevd_pandas.py index e06defb78922..c92495e3c9f9 100644 --- a/python/helpers/pydev/_pydevd_bundle/tables/pydevd_pandas.py +++ b/python/helpers/pydev/_pydevd_bundle/tables/pydevd_pandas.py @@ -18,7 +18,7 @@ OBJECT_SAMPLE_LIMIT = 10 class InspectionResultsDict: - KEY_INSPECTION_NAME = "inspectionName" + KEY_INSPECTION_NAME = "inspection" KEY_STATUS = "executionStatus" VALUE_STATUS_SUCCESS = "SUCCESS" @@ -166,7 +166,7 @@ def get_inspection_none_count(table): except: result[InspectionResultsDict.KEY_STATUS] = InspectionResultsDict.VALUE_STATUS_FAILED result[InspectionResultsDict.KEY_IS_TRIGGERED] = InspectionResultsDict.VALUE_TRIGGERED_NO - return __serialize_in_json(result, "None Count") + return __serialize_in_json(result, "NONE_COUNT") def get_inspection_duplicate_rows(table): @@ -187,7 +187,7 @@ def get_inspection_duplicate_rows(table): except: result[InspectionResultsDict.KEY_STATUS] = InspectionResultsDict.VALUE_STATUS_FAILED result[InspectionResultsDict.KEY_IS_TRIGGERED] = InspectionResultsDict.VALUE_TRIGGERED_NO - return __serialize_in_json(result, "Duplicate Rows") + return __serialize_in_json(result, "DUPLICATE_ROWS") def get_inspection_outliers(table): @@ -226,7 +226,7 @@ def get_inspection_outliers(table): except: result[InspectionResultsDict.KEY_STATUS] = InspectionResultsDict.VALUE_STATUS_FAILED result[InspectionResultsDict.KEY_IS_TRIGGERED] = InspectionResultsDict.VALUE_TRIGGERED_NO - return __serialize_in_json(result, "Outliers") + return __serialize_in_json(result, "OUTLIERS") def get_inspection_constant_columns(table): @@ -252,7 +252,7 @@ def get_inspection_constant_columns(table): except: result[InspectionResultsDict.KEY_STATUS] = InspectionResultsDict.VALUE_STATUS_FAILED result[InspectionResultsDict.KEY_IS_TRIGGERED] = InspectionResultsDict.VALUE_TRIGGERED_NO - return __serialize_in_json(result, "Constant Columns") + return __serialize_in_json(result, "CONSTANT_COLUMNS") def __get_data_slice(table, start, end):