feat: add new granularities

JIRA: CQ-2758
risk: low

Author: okrcmaGD

packages/gooddata-flexconnect/json_schemas/execution-context/date-granularity.json

@@ -5,14 +5,18 @@
     "description": "All the supported granularities of the date attributes.",
     "enum": [
         "TIMESTAMP",
+        "SECOND",
         "MINUTE",
         "HOUR",
         "DAY",
         "WEEK",
         "MONTH",
         "QUARTER",
         "YEAR",
+        "SECOND_OF_MINUTE",
+        "SECOND_OF_DAY",
         "MINUTE_OF_HOUR",
+        "MINUTE_OF_DAY",
         "HOUR_OF_DAY",
         "DAY_OF_WEEK",
         "DAY_OF_MONTH",

packages/gooddata-pandas/src/gooddata_pandas/arrow_convertor.py

@@ -68,7 +68,7 @@ def _get_date_converter_for_label(label_id: str, model_labels: dict):
 
     - ``DAY`` / ``MONTH`` / ``YEAR`` → ``DateConverter``  (→ ``pandas.Timestamp`` via external fn)
     - ``WEEK`` / ``QUARTER``         → ``StringConverter`` (no-op)
-    - ``MINUTE`` / ``HOUR``          → ``DatetimeConverter``
+    - ``SECOND`` / ``MINUTE`` / ``HOUR`` → ``DatetimeConverter``
     - No granularity (text attrs)    → ``None`` (caller skips conversion)
     """
     info = model_labels.get(label_id, {})
@@ -84,6 +84,7 @@ def convert_label_values(label_id: str, values: list, model_labels: dict) -> lis
     Mirrors the non-Arrow execution path (``AttributeConverterStore`` in ``_typed_attribute_value``):
 
     - ``DAY`` / ``MONTH`` / ``YEAR`` granularity → ``pandas.Timestamp``
+    - ``SECOND`` / ``MINUTE`` / ``HOUR``         → ``pandas.Timestamp``
     - ``WEEK`` / ``QUARTER``                     → ``str`` (unchanged)
     - No granularity (text attributes)            → values returned as the **same object**
 

packages/gooddata-pandas/tests/utils/test_utils.py

@@ -59,6 +59,12 @@ def test_typed_attribute_values_batches_dates_to_timestamps():
         pandas.Timestamp("2023-01-01"),
         pandas.Timestamp("2023-03-01"),
     ]
+    assert _typed_attribute_values(
+        _date_catalog_attribute("SECOND"), ["2026-07-31 12:34:56", "2026-12-31 23:59:59"]
+    ) == [
+        pandas.Timestamp("2026-07-31 12:34:56"),
+        pandas.Timestamp("2026-12-31 23:59:59"),
+    ]
 
 
 def test_typed_attribute_values_week_and_quarter_stay_strings():

packages/gooddata-sdk/src/gooddata_sdk/compute/model/filter.py

@@ -264,6 +264,7 @@ def __eq__(self, other: object) -> bool:
     "DAY",
     "HOUR",
     "MINUTE",
+    "SECOND",
     "QUARTER_OF_YEAR",
     "MONTH_OF_YEAR",
     "WEEK_OF_YEAR",
@@ -272,6 +273,9 @@ def __eq__(self, other: object) -> bool:
     "DAY_OF_WEEK",
     "HOUR_OF_DAY",
     "MINUTE_OF_HOUR",
+    "MINUTE_OF_DAY",
+    "SECOND_OF_DAY",
+    "SECOND_OF_MINUTE",
     "FISCAL_MONTH",
     "FISCAL_QUARTER",
     "FISCAL_YEAR",

packages/gooddata-sdk/src/gooddata_sdk/type_converter.py

@@ -295,7 +295,7 @@ def build_stores() -> None:
     AttributeConverterStore.register("DATE", IntegerConverter)
     AttributeConverterStore.register("DATE", StringConverter, ["WEEK", "QUARTER"])
     AttributeConverterStore.register("DATE", DateConverter, ["DAY", "MONTH", "YEAR"])
-    AttributeConverterStore.register("DATE", DatetimeConverter, ["MINUTE", "HOUR"])
+    AttributeConverterStore.register("DATE", DatetimeConverter, ["SECOND", "MINUTE", "HOUR"])
 
     DBTypeConverterStore.register("date", DateConverter)
     DBTypeConverterStore.register("timestamp", DatetimeConverter)

packages/gooddata-sdk/src/gooddata_sdk/visualization.py

@@ -49,6 +49,7 @@
     "GDC.time.date": "DAY",
     "GDC.time.hour": "HOUR",
     "GDC.time.minute": "MINUTE",
+    "GDC.time.second": "SECOND",
     "GDC.time.quarter_in_year": "QUARTER_OF_YEAR",
     "GDC.time.month_in_year": "MONTH_OF_YEAR",
     "GDC.time.week_in_year": "WEEK_OF_YEAR",
@@ -57,6 +58,9 @@
     "GDC.time.day_in_week": "DAY_OF_WEEK",
     "GDC.time.hour_in_day": "HOUR_OF_DAY",
     "GDC.time.minute_in_hour": "MINUTE_OF_HOUR",
+    "GDC.time.minute_in_day": "MINUTE_OF_DAY",
+    "GDC.time.second_in_day": "SECOND_OF_DAY",
+    "GDC.time.second_in_minute": "SECOND_OF_MINUTE",
     "GDC.time.fiscal_month": "FISCAL_MONTH",
     "GDC.time.fiscal_quarter": "FISCAL_QUARTER",
     "GDC.time.fiscal_year": "FISCAL_YEAR",

packages/gooddata-sdk/tests/compute_model/test_date_filters.py

@@ -109,3 +109,40 @@ def test_date_filters_description(scenario, filter, descriptions):
 def test_all_time_date_filter_is_noop_by_default():
     f = AllTimeDateFilter(dataset=ObjId(type="dataset", id="dataset.id"))
     assert f.is_noop()
+
+
+@pytest.mark.parametrize(
+    "granularity",
+    [
+        "YEAR",
+        "QUARTER",
+        "MONTH",
+        "WEEK",
+        "DAY",
+        "HOUR",
+        "MINUTE",
+        "SECOND",
+        "QUARTER_OF_YEAR",
+        "MONTH_OF_YEAR",
+        "WEEK_OF_YEAR",
+        "DAY_OF_YEAR",
+        "DAY_OF_MONTH",
+        "DAY_OF_WEEK",
+        "HOUR_OF_DAY",
+        "MINUTE_OF_HOUR",
+        "MINUTE_OF_DAY",
+        "SECOND_OF_DAY",
+        "SECOND_OF_MINUTE",
+        "FISCAL_MONTH",
+        "FISCAL_QUARTER",
+        "FISCAL_YEAR",
+    ],
+)
+def test_relative_date_filter_accepts_all_supported_granularities(granularity):
+    f = RelativeDateFilter(
+        dataset=ObjId(type="dataset", id="dataset.id"),
+        granularity=granularity,
+        from_shift=-30,
+        to_shift=-1,
+    )
+    assert f.granularity == granularity

packages/gooddata-sdk/tests/test_type_converter.py

@@ -66,6 +66,10 @@ def test_to_type_ok(self):
         c = conv.DatetimeConverter()
         assert c.to_type(test_value) == datetime.datetime(2021, 10, 20, 11, 0)
 
+    def test_second_granularity_values_convert_to_datetime(self):
+        c = conv.AttributeConverterStore.find_converter("DATE", "SECOND")
+        assert c.to_type("2026-07-31 12:34:56") == datetime.datetime(2026, 7, 31, 12, 34, 56)
+
     def test_to_type_wrong_val(self):
         test_value = "2021-10-20"
         c = conv.DatetimeConverter()