How to use the flowmachine.flowmachine.core.server.query_schemas.custom_fields.EventTypes function in flowmachine

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github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / location_event_counts.py View on Github external
)
        )


class LocationEventCountsSchema(AggregationUnitMixin, BaseSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["location_event_counts"]))
    start_date = ISODateTime(required=True)
    end_date = ISODateTime(required=True)
    interval = fields.String(
        required=True, validate=OneOf(TotalLocationEvents.allowed_intervals)
    )
    direction = fields.String(
        required=True, validate=OneOf(["in", "out", "both"])
    )  # TODO: use a globally defined enum for this
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = LocationEventCountsExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / event_count.py View on Github external
start=self.start,
            stop=self.stop,
            direction=self.direction,
            tables=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class EventCountSchema(BaseQueryWithSamplingSchema):
    query_kind = fields.String(validate=OneOf(["event_count"]))
    start = ISODateTime(required=True)
    stop = ISODateTime(required=True)
    direction = fields.String(
        required=False, validate=OneOf(["in", "out", "both"]), default="both"
    )  # TODO: use a globally defined enum for this
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = EventCountExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / consecutive_trips_od_matrix.py View on Github external
self.start_date,
                    self.end_date,
                    spatial_unit=self.aggregation_unit,
                    table=self.event_types,
                    subscriber_subset=self.subscriber_subset,
                )
            )
        )


class ConsecutiveTripsODMatrixSchema(AggregationUnitMixin, BaseSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["consecutive_trips_od_matrix"]))
    start_date = ISODateTime(required=True)
    end_date = ISODateTime(required=True)
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = ConsecutiveTripsODMatrixExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / subscriber_degree.py View on Github external
start=self.start,
            stop=self.stop,
            direction=self.direction,
            tables=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class SubscriberDegreeSchema(BaseQueryWithSamplingSchema):
    query_kind = fields.String(validate=OneOf(["subscriber_degree"]))
    start = ISODateTime(required=True)
    stop = ISODateTime(required=True)
    direction = fields.String(
        required=False, validate=OneOf(["in", "out", "both"]), default="both"
    )  # TODO: use a globally defined enum for this
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = SubscriberDegreeExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / pareto_interactions.py View on Github external
"""
        return ParetoInteractions(
            start=self.start,
            stop=self.stop,
            proportion=self.proportion,
            tables=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class ParetoInteractionsSchema(BaseQueryWithSamplingSchema):
    query_kind = fields.String(validate=OneOf(["pareto_interactions"]))
    start = ISODateTime(required=True)
    stop = ISODateTime(required=True)
    proportion = fields.Float(required=True, validate=Range(min=0.0, max=1.0))
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = ParetoInteractionsExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / unique_subscriber_counts.py View on Github external
return RedactedUniqueSubscriberCounts(
            unique_subscriber_counts=UniqueSubscriberCounts(
                start=self.start_date,
                stop=self.end_date,
                spatial_unit=self.aggregation_unit,
                table=self.event_types,
            )
        )


class UniqueSubscriberCountsSchema(AggregationUnitMixin, BaseSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["unique_subscriber_counts"]))
    start_date = ISODateTime(required=True)
    end_date = ISODateTime(required=True)
    event_types = EventTypes()

    __model__ = UniqueSubscriberCountsExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / radius_of_gyration.py View on Github external
Query
        """
        return RadiusOfGyration(
            start=self.start_date,
            stop=self.end_date,
            table=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class RadiusOfGyrationSchema(BaseQueryWithSamplingSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["radius_of_gyration"]))
    start_date = ISODateTime(required=True)
    end_date = ISODateTime(required=True)
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = RadiusOfGyrationExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / trips_od_matrix.py View on Github external
self.start_date,
                    self.end_date,
                    spatial_unit=self.aggregation_unit,
                    table=self.event_types,
                    subscriber_subset=self.subscriber_subset,
                )
            )
        )


class TripsODMatrixSchema(AggregationUnitMixin, BaseSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["trips_od_matrix"]))
    start_date = ISODateTime(required=True)
    end_date = ISODateTime(required=True)
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = TripsODMatrixExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / nocturnal_events.py View on Github external
stop=self.stop,
            hours=self.hours,
            tables=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class NocturnalEventsSchema(BaseQueryWithSamplingSchema):
    query_kind = fields.String(validate=OneOf(["nocturnal_events"]))
    start = ISODateTime(required=True)
    stop = ISODateTime(required=True)
    night_start_hour = fields.Integer(
        validate=Range(0, 23)
    )  # Tuples aren't supported by apispec https://github.com/marshmallow-code/apispec/issues/399
    night_end_hour = fields.Integer(validate=Range(0, 23))
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = NocturnalEventsExposed
github Flowminder / FlowKit / flowmachine / flowmachine / core / server / query_schemas / daily_location.py View on Github external
"""
        return daily_location(
            date=self.date,
            spatial_unit=self.aggregation_unit,
            method=self.method,
            table=self.event_types,
            subscriber_subset=self.subscriber_subset,
        )


class DailyLocationSchema(AggregationUnitMixin, BaseQueryWithSamplingSchema):
    # query_kind parameter is required here for claims validation
    query_kind = fields.String(validate=OneOf(["daily_location"]))
    date = ISODateTime(required=True)
    method = fields.String(required=True, validate=OneOf(["last", "most-common"]))
    event_types = EventTypes()
    subscriber_subset = SubscriberSubset()

    __model__ = DailyLocationExposed