Source code for ecoscope.base._dataclasses

import datetime
import typing
from dataclasses import dataclass, field

import geopandas
import shapely
import shapely.geometry




@dataclass
class RelocsCoordinateFilter:
    """Filter parameters for filtering get_fixes based on X/Y coordinate ranges or specific coordinate values"""

    min_x: float = -180.0
    max_x: float = 180.0
    min_y: float = -90.0
    max_y: float = 90.0
    filter_point_coords: typing.Union[typing.List[typing.List[float]], geopandas.GeoSeries] = field(
        default_factory=[[0.0, 0.0]]
    )



    def __post_init__(self):
        if isinstance(self.filter_point_coords, list):
            self.filter_point_coords = geopandas.GeoSeries(
                shapely.geometry.Point(coord) for coord in self.filter_point_coords
            )






@dataclass
class RelocsDateRangeFilter:
    """
    Filter parameters for filtering based on a datetime range
    """

    start: datetime.datetime
    end: datetime.datetime





@dataclass
class RelocsSpeedFilter:
    """
    Filter parameters for filtering based on the speed needed to move from one fix to the next
    """

    max_speed_kmhr: float = float("inf")
    temporal_order: str = "ASC"





@dataclass
class RelocsDistFilter:
    """
    Filter based on the distance between consecutive fixes. Fixes are filtered to the range [min_dist_km, max_dist_km].
    """

    min_dist_km: float = 0.0
    max_dist_km: float = float("inf")
    temporal_order: str = "ASC"





@dataclass
class TrajSegFilter:
    """
    Class filtering a set of trajectory segment segments
    """

    min_length_meters: float = 0.0
    max_length_meters: float = float("inf")
    min_time_secs: float = 0.0
    max_time_secs: float = float("inf")
    min_speed_kmhr: float = 0.0
    max_speed_kmhr: float = float("inf")