diff --git a/metricflow-semantics/metricflow_semantics/query/query_parser.py b/metricflow-semantics/metricflow_semantics/query/query_parser.py index 1c9a008b48..f6177ca01d 100644 --- a/metricflow-semantics/metricflow_semantics/query/query_parser.py +++ b/metricflow-semantics/metricflow_semantics/query/query_parser.py @@ -5,7 +5,6 @@ from dataclasses import dataclass from typing import List, Optional, Sequence, Tuple, Union -import pandas as pd from dbt_semantic_interfaces.implementations.filters.where_filter import ( PydanticWhereFilter, PydanticWhereFilterIntersection, @@ -64,12 +63,7 @@ TimeDimensionSpec, ) from metricflow_semantics.specs.spec_set import group_specs_by_type -from metricflow_semantics.time.pandas_adjuster import ( - adjust_to_end_of_period, - adjust_to_start_of_period, - is_period_end, - is_period_start, -) +from metricflow_semantics.time.dateutil_adjuster import DateutilTimePeriodAdjuster logger = logging.getLogger(__name__) @@ -95,6 +89,7 @@ def __init__( # noqa: D107 DunderNamingScheme(), ) self._where_filter_pattern_factory = where_filter_pattern_factory + self._time_period_adjuster = DateutilTimePeriodAdjuster() def parse_and_validate_saved_query( self, @@ -191,23 +186,10 @@ def _adjust_time_constraint( e.g. [2020-01-15, 2020-2-15] with MONTH granularity -> [2020-01-01, 2020-02-29] """ - constraint_start = time_constraint.start_time - constraint_end = time_constraint.end_time - - start_ts = pd.Timestamp(time_constraint.start_time) - if not is_period_start(metric_time_granularity, start_ts): - constraint_start = adjust_to_start_of_period(metric_time_granularity, start_ts).to_pydatetime() - - end_ts = pd.Timestamp(time_constraint.end_time) - if not is_period_end(metric_time_granularity, end_ts): - constraint_end = adjust_to_end_of_period(metric_time_granularity, end_ts).to_pydatetime() - - if constraint_start < TimeRangeConstraint.ALL_TIME_BEGIN(): - constraint_start = TimeRangeConstraint.ALL_TIME_BEGIN() - if constraint_end > TimeRangeConstraint.ALL_TIME_END(): - constraint_end = TimeRangeConstraint.ALL_TIME_END() - - return TimeRangeConstraint(start_time=constraint_start, end_time=constraint_end) + return self._time_period_adjuster.expand_time_constraint_to_fill_granularity( + time_constraint=time_constraint, + granularity=metric_time_granularity, + ) def _parse_order_by_names( self, diff --git a/metricflow-semantics/metricflow_semantics/time/dateutil_adjuster.py b/metricflow-semantics/metricflow_semantics/time/dateutil_adjuster.py new file mode 100644 index 0000000000..cf553ce49e --- /dev/null +++ b/metricflow-semantics/metricflow_semantics/time/dateutil_adjuster.py @@ -0,0 +1,114 @@ +from __future__ import annotations + +import datetime +from typing import Optional + +import dateutil.relativedelta +from dateutil.relativedelta import relativedelta +from dbt_semantic_interfaces.enum_extension import assert_values_exhausted +from dbt_semantic_interfaces.type_enums import TimeGranularity +from typing_extensions import override + +from metricflow_semantics.filters.time_constraint import TimeRangeConstraint +from metricflow_semantics.time.time_period import TimePeriodAdjuster + + +class DateutilTimePeriodAdjuster(TimePeriodAdjuster): + """Implementation of time period adjustments using `dateutil`. + + * `relativedelta` will not change weekday if already at the given weekday, even with a Nth parameter. + * `relativedelta` will automatically handle day values that exceed the number of days in months with < 31 days. + """ + + def _relative_delta_for_window(self, time_granularity: TimeGranularity, count: int) -> relativedelta: + """Relative-delta to cover time windows specified at different grains.""" + if time_granularity is TimeGranularity.DAY: + return relativedelta(days=count) + elif time_granularity is TimeGranularity.WEEK: + return relativedelta(weeks=count) + elif time_granularity is TimeGranularity.MONTH: + return relativedelta(months=count) + elif time_granularity is TimeGranularity.QUARTER: + return relativedelta(months=count * 3) + elif time_granularity is TimeGranularity.YEAR: + return relativedelta(years=count) + else: + assert_values_exhausted(time_granularity) + + @override + def expand_time_constraint_to_fill_granularity( + self, time_constraint: TimeRangeConstraint, granularity: TimeGranularity + ) -> TimeRangeConstraint: + adjusted_start = self.adjust_to_start_of_period(granularity, time_constraint.start_time) + adjusted_end = self.adjust_to_end_of_period(granularity, time_constraint.end_time) + + if adjusted_start < TimeRangeConstraint.ALL_TIME_BEGIN(): + adjusted_start = TimeRangeConstraint.ALL_TIME_BEGIN() + if adjusted_end > TimeRangeConstraint.ALL_TIME_END(): + adjusted_end = TimeRangeConstraint.ALL_TIME_END() + + return TimeRangeConstraint(start_time=adjusted_start, end_time=adjusted_end) + + @override + def adjust_to_start_of_period( + self, time_granularity: TimeGranularity, date_to_adjust: datetime.datetime + ) -> datetime.datetime: + if time_granularity is TimeGranularity.DAY: + return date_to_adjust + elif time_granularity is TimeGranularity.WEEK: + return date_to_adjust + relativedelta(weekday=dateutil.relativedelta.MO(-1)) + elif time_granularity is TimeGranularity.MONTH: + return date_to_adjust + relativedelta(day=1) + elif time_granularity is TimeGranularity.QUARTER: + if date_to_adjust.month <= 3: + return date_to_adjust + relativedelta(month=1, day=1) + elif date_to_adjust.month <= 6: + return date_to_adjust + relativedelta(month=4, day=1) + elif date_to_adjust.month <= 9: + return date_to_adjust + relativedelta(month=7, day=1) + else: + return date_to_adjust + relativedelta(month=10, day=1) + elif time_granularity is TimeGranularity.YEAR: + return date_to_adjust + relativedelta(month=1, day=1) + else: + assert_values_exhausted(time_granularity) + + @override + def adjust_to_end_of_period( + self, time_granularity: TimeGranularity, date_to_adjust: datetime.datetime + ) -> datetime.datetime: + if time_granularity is TimeGranularity.DAY: + return date_to_adjust + elif time_granularity is TimeGranularity.WEEK: + return date_to_adjust + relativedelta(weekday=dateutil.relativedelta.SU(1)) + elif time_granularity is TimeGranularity.MONTH: + return date_to_adjust + relativedelta(day=31) + elif time_granularity is TimeGranularity.QUARTER: + if date_to_adjust.month <= 3: + return date_to_adjust + relativedelta(month=3, day=31) + elif date_to_adjust.month <= 6: + return date_to_adjust + relativedelta(month=6, day=31) + elif date_to_adjust.month <= 9: + return date_to_adjust + relativedelta(month=9, day=31) + else: + return date_to_adjust + relativedelta(month=12, day=31) + elif time_granularity is TimeGranularity.YEAR: + return date_to_adjust + relativedelta(month=12, day=31) + else: + assert_values_exhausted(time_granularity) + + @override + def expand_time_constraint_for_cumulative_metric( + self, time_constraint: TimeRangeConstraint, granularity: Optional[TimeGranularity], count: int + ) -> TimeRangeConstraint: + if granularity is not None: + return TimeRangeConstraint( + start_time=time_constraint.start_time - self._relative_delta_for_window(granularity, count), + end_time=time_constraint.end_time, + ) + + # if no window is specified we want to accumulate from the beginning of time + return TimeRangeConstraint( + start_time=TimeRangeConstraint.ALL_TIME_BEGIN(), + end_time=time_constraint.end_time, + ) diff --git a/metricflow-semantics/tests_metricflow_semantics/snapshots/test_time_adjuster.py/str/test_start_and_end_periods__results.txt b/metricflow-semantics/tests_metricflow_semantics/snapshots/test_time_adjuster.py/str/test_start_and_end_periods__results.txt new file mode 100644 index 0000000000..4a6879c541 --- /dev/null +++ b/metricflow-semantics/tests_metricflow_semantics/snapshots/test_time_adjuster.py/str/test_start_and_end_periods__results.txt @@ -0,0 +1,5472 @@ +Date Grain Period Start Period End +------------------- ------- ------------------- ------------------- +2000-01-01T00:00:00 DAY 2000-01-01T00:00:00 2000-01-01T00:00:00 +2000-01-01T00:00:00 WEEK 1999-12-27T00:00:00 2000-01-02T00:00:00 +2000-01-01T00:00:00 MONTH 2000-01-01T00:00:00 2000-01-31T00:00:00 +2000-01-01T00:00:00 QUARTER 2000-01-01T00:00:00 2000-03-31T00:00:00 +2000-01-01T00:00:00 YEAR 2000-01-01T00:00:00 2000-12-31T00:00:00 +2000-01-02T00:00:00 DAY 2000-01-02T00:00:00 2000-01-02T00:00:00 +2000-01-02T00:00:00 WEEK 1999-12-27T00:00:00 2000-01-02T00:00:00 +2000-01-02T00:00:00 MONTH 2000-01-01T00:00:00 2000-01-31T00:00:00 +2000-01-02T00:00:00 QUARTER 2000-01-01T00:00:00 2000-03-31T00:00:00 +2000-01-02T00:00:00 YEAR 2000-01-01T00:00:00 2000-12-31T00:00:00 +2000-01-03T00:00:00 DAY 2000-01-03T00:00:00 2000-01-03T00:00:00 +2000-01-03T00:00:00 WEEK 2000-01-03T00:00:00 2000-01-09T00:00:00 +2000-01-03T00:00:00 MONTH 2000-01-01T00:00:00 2000-01-31T00:00:00 +2000-01-03T00:00:00 QUARTER 2000-01-01T00:00:00 2000-03-31T00:00:00 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+2021-12-28T00:00:00 YEAR 2021-01-01T00:00:00 2021-12-31T00:00:00 +2021-12-29T00:00:00 DAY 2021-12-29T00:00:00 2021-12-29T00:00:00 +2021-12-29T00:00:00 WEEK 2021-12-27T00:00:00 2022-01-02T00:00:00 +2021-12-29T00:00:00 MONTH 2021-12-01T00:00:00 2021-12-31T00:00:00 +2021-12-29T00:00:00 QUARTER 2021-10-01T00:00:00 2021-12-31T00:00:00 +2021-12-29T00:00:00 YEAR 2021-01-01T00:00:00 2021-12-31T00:00:00 +2021-12-30T00:00:00 DAY 2021-12-30T00:00:00 2021-12-30T00:00:00 +2021-12-30T00:00:00 WEEK 2021-12-27T00:00:00 2022-01-02T00:00:00 +2021-12-30T00:00:00 MONTH 2021-12-01T00:00:00 2021-12-31T00:00:00 +2021-12-30T00:00:00 QUARTER 2021-10-01T00:00:00 2021-12-31T00:00:00 +2021-12-30T00:00:00 YEAR 2021-01-01T00:00:00 2021-12-31T00:00:00 diff --git a/metricflow-semantics/tests_metricflow_semantics/time/test_time_adjuster.py b/metricflow-semantics/tests_metricflow_semantics/time/test_time_adjuster.py new file mode 100644 index 0000000000..14ce5e923e --- /dev/null +++ b/metricflow-semantics/tests_metricflow_semantics/time/test_time_adjuster.py @@ -0,0 +1,159 @@ +from __future__ import annotations + +import datetime +import logging +from typing import Dict, List, Sequence, Tuple + +import pytest +import tabulate +from _pytest.fixtures import FixtureRequest +from dbt_semantic_interfaces.test_utils import as_datetime +from dbt_semantic_interfaces.type_enums import TimeGranularity +from metricflow_semantics.filters.time_constraint import TimeRangeConstraint +from metricflow_semantics.test_helpers.config_helpers import MetricFlowTestConfiguration +from metricflow_semantics.test_helpers.snapshot_helpers import assert_str_snapshot_equal +from metricflow_semantics.time.dateutil_adjuster import DateutilTimePeriodAdjuster +from metricflow_semantics.time.pandas_adjuster import PandasTimePeriodAdjuster + +logger = logging.getLogger(__name__) + + +@pytest.fixture(scope="session") +def date_times_to_check() -> Sequence[datetime.datetime]: # noqa: D103 + date_times = [] + # Cover leap years, non-leap years + # 1900 was tested to work, though that requires a change to `TimeRangeConstraint.ALL_TIME_BEGIN` + for year in (2000, 2000, 2021): + start_date_time = datetime.datetime(year=year, month=1, day=1) + end_date_time = datetime.datetime(year=year, month=12, day=31) + current_date_time = start_date_time + while True: + date_times.append(current_date_time) + current_date_time += datetime.timedelta(days=1) + if current_date_time == end_date_time: + break + return date_times + + +@pytest.fixture(scope="session") +def grain_to_count_in_year() -> Dict[TimeGranularity, int]: + """Returns the maximum number of times the given item occurs in a year.""" + return { + TimeGranularity.DAY: 366, + TimeGranularity.WEEK: 53, + TimeGranularity.MONTH: 31, + TimeGranularity.QUARTER: 4, + TimeGranularity.YEAR: 1, + } + + +def test_start_and_end_periods( # noqa: D103 + request: FixtureRequest, + mf_test_configuration: MetricFlowTestConfiguration, + date_times_to_check: Sequence[datetime.datetime], +) -> None: + pandas_adjuster = PandasTimePeriodAdjuster() + dateutil_adjuster = DateutilTimePeriodAdjuster() + + rows: List[Tuple[str, ...]] = [] + for date_time in date_times_to_check: + for time_granularity in TimeGranularity: + # Pandas implementation of `adjust_to_start_of_period` doesn't support DAY. + if time_granularity == TimeGranularity.DAY: + pandas_start_of_period = None + pandas_end_of_period = None + else: + pandas_start_of_period = pandas_adjuster.adjust_to_start_of_period(time_granularity, date_time) + pandas_end_of_period = pandas_adjuster.adjust_to_end_of_period(time_granularity, date_time) + dateutil_start_of_period = dateutil_adjuster.adjust_to_start_of_period(time_granularity, date_time) + dateutil_end_of_period = dateutil_adjuster.adjust_to_end_of_period(time_granularity, date_time) + assert ( + pandas_start_of_period or dateutil_start_of_period + ) == dateutil_start_of_period, f"start-of-period mismatch: {date_time.isoformat()} {time_granularity}" + assert ( + pandas_end_of_period or dateutil_end_of_period + ) == dateutil_end_of_period, f"end-of-period mismatch: {date_time.isoformat()} {time_granularity}" + rows.append( + ( + date_time.isoformat(), + time_granularity.name, + dateutil_start_of_period.isoformat(), + dateutil_end_of_period.isoformat(), + ) + ) + assert_str_snapshot_equal( + request=request, + mf_test_configuration=mf_test_configuration, + snapshot_id="results", + snapshot_str=tabulate.tabulate(rows, headers=["Date", "Grain", "Period Start", "Period End"]), + ) + + +def test_expand_time_constraint_to_fill_granularity( # noqa: D103 + date_times_to_check: Sequence[datetime.datetime], grain_to_count_in_year: Dict[TimeGranularity, int] +) -> None: + pandas_adjuster = PandasTimePeriodAdjuster() + dateutil_adjuster = DateutilTimePeriodAdjuster() + + test_cases = tuple( + (start_time, end_time, time_granularity) + for start_time in date_times_to_check + for time_granularity in TimeGranularity + for end_time in ( + start_time + datetime.timedelta(days=day_offset) + # Add 2 to cross time grain boundaries. + for day_offset in range(grain_to_count_in_year[time_granularity] + 2) + ) + ) + + test_case_count = len(test_cases) + logger.info(f"There are {test_case_count} test cases") + + finished_count = 0 + + for start_time, end_time, time_granularity in test_cases: + time_constraint = TimeRangeConstraint(start_time=start_time, end_time=end_time) + pandas_adjuster_result = pandas_adjuster.expand_time_constraint_to_fill_granularity( + time_constraint, time_granularity + ) + + dateutil_adjuster_result = dateutil_adjuster.expand_time_constraint_to_fill_granularity( + time_constraint, time_granularity + ) + + assert ( + pandas_adjuster_result == dateutil_adjuster_result + ), f"Expansion mismatch: {pandas_adjuster_result=} {dateutil_adjuster_result=} {time_granularity=}" + finished_count += 1 + if finished_count % 100000 == 0 or finished_count == test_case_count: + logger.info(f"Progress {finished_count / test_case_count * 100:.0f}%") + + +def test_expand_time_constraint_for_cumulative_metric( # noqa: D103 + grain_to_count_in_year: Dict[TimeGranularity, int] +) -> None: + pandas_adjuster = PandasTimePeriodAdjuster() + dateutil_adjuster = DateutilTimePeriodAdjuster() + + test_cases = tuple( + (as_datetime("2020-01-01"), time_granularity, count) + for time_granularity in TimeGranularity + for count in (range(grain_to_count_in_year[time_granularity] + 2)) + ) + + test_case_count = len(test_cases) + logger.info(f"There are {test_case_count} test cases") + + for start_time, time_granularity, count in test_cases: + time_constraint = TimeRangeConstraint(start_time=start_time, end_time=start_time) + pandas_adjuster_result = pandas_adjuster.expand_time_constraint_for_cumulative_metric( + time_constraint, time_granularity, count + ) + + dateutil_adjuster_result = dateutil_adjuster.expand_time_constraint_for_cumulative_metric( + time_constraint, time_granularity, count + ) + + assert ( + pandas_adjuster_result == dateutil_adjuster_result + ), f"Expansion mismatch: {start_time=}, {time_granularity=}, {count=}" diff --git a/metricflow/dataflow/builder/dataflow_plan_builder.py b/metricflow/dataflow/builder/dataflow_plan_builder.py index 1da080ee24..9b017caaa4 100644 --- a/metricflow/dataflow/builder/dataflow_plan_builder.py +++ b/metricflow/dataflow/builder/dataflow_plan_builder.py @@ -52,7 +52,7 @@ from metricflow_semantics.specs.spec_set import InstanceSpecSet, group_specs_by_type from metricflow_semantics.specs.where_filter_transform import WhereSpecFactory from metricflow_semantics.sql.sql_join_type import SqlJoinType -from metricflow_semantics.time.pandas_adjuster import PandasTimePeriodAdjuster +from metricflow_semantics.time.dateutil_adjuster import DateutilTimePeriodAdjuster from metricflow.dataflow.builder.node_data_set import DataflowPlanNodeOutputDataSetResolver from metricflow.dataflow.builder.node_evaluator import ( @@ -135,7 +135,7 @@ def __init__( # noqa: D107 self._column_association_resolver = column_association_resolver self._node_data_set_resolver = node_output_resolver self._source_node_builder = source_node_builder - self._time_period_adjuster = PandasTimePeriodAdjuster() + self._time_period_adjuster = DateutilTimePeriodAdjuster() def build_plan( self, @@ -1298,7 +1298,7 @@ def _build_aggregated_measure_from_measure_source_node( predicate_pushdown_state.time_range_constraint, granularity, count ) ) - logger.info(f"Adjusted time range constraint {cumulative_metric_adjusted_time_constraint}") + logger.info(f"Adjusted time range constraint to: {cumulative_metric_adjusted_time_constraint}") required_linkable_specs, extraneous_linkable_specs = self.__get_required_and_extraneous_linkable_specs( queried_linkable_specs=queried_linkable_specs,