`nrel.hive.reporting.handler.kepler_feature`

Module Contents

Classes

`Property`	A simple typed namespace. At runtime it is equivalent to a plain dict.
`Coord`	Typed version of namedtuple.
`Geometry`	A simple typed namespace. At runtime it is equivalent to a plain dict.
`Feature`	A simple typed namespace. At runtime it is equivalent to a plain dict.
`KeplerFeature`

class nrel.hive.reporting.handler.kepler_feature.Property[source]

Bases: TypedDict

A simple typed namespace. At runtime it is equivalent to a plain dict.

TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, where each key is associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by type checkers. Usage:

class Point2D(TypedDict):
    x: int
    y: int
    label: str

a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check

assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')

The type info can be accessed via Point2D.__annotations__. TypedDict supports two additional equivalent forms:

Point2D = TypedDict('Point2D', x=int, y=int, label=str)
Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})

By default, all keys must be present in a TypedDict. It is possible to override this by specifying totality. Usage:

class point2D(TypedDict, total=False):
    x: int
    y: int

This means that a point2D TypedDict can have any of the keys omitted.A type checker is only expected to support a literal False or True as the value of the total argument. True is the default, and makes all items defined in the class body be required.

The class syntax is only supported in Python 3.6+, while two other syntax forms work for Python 2.7 and 3.2+

vehicle_id: nrel.hive.util.typealiases.VehicleId

vehicle_state: str

start_time: int

class nrel.hive.reporting.handler.kepler_feature.Coord[source]

Bases: NamedTuple

Typed version of namedtuple.

Usage in Python versions >= 3.6:

class Employee(NamedTuple):
    name: str
    id: int

This is equivalent to:

Employee = collections.namedtuple('Employee', ['name', 'id'])

The resulting class has an extra __annotations__ attribute, giving a dict that maps field names to types. (The field names are also in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:

Employee = NamedTuple('Employee', name=str, id=int)

In Python versions <= 3.5 use:

Employee = NamedTuple('Employee', [('name', str), ('id', int)])

lon: float

lat: float

z: float

timestamp: int

class nrel.hive.reporting.handler.kepler_feature.Geometry[source]

Bases: TypedDict

A simple typed namespace. At runtime it is equivalent to a plain dict.

TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, where each key is associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by type checkers. Usage:

class Point2D(TypedDict):
    x: int
    y: int
    label: str

a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check

assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')

The type info can be accessed via Point2D.__annotations__. TypedDict supports two additional equivalent forms:

Point2D = TypedDict('Point2D', x=int, y=int, label=str)
Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})

By default, all keys must be present in a TypedDict. It is possible to override this by specifying totality. Usage:

class point2D(TypedDict, total=False):
    x: int
    y: int

This means that a point2D TypedDict can have any of the keys omitted.A type checker is only expected to support a literal False or True as the value of the total argument. True is the default, and makes all items defined in the class body be required.

The class syntax is only supported in Python 3.6+, while two other syntax forms work for Python 2.7 and 3.2+

type: str

coordinates: list[Coord]

class nrel.hive.reporting.handler.kepler_feature.Feature[source]

Bases: TypedDict

A simple typed namespace. At runtime it is equivalent to a plain dict.

TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, where each key is associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by type checkers. Usage:

class Point2D(TypedDict):
    x: int
    y: int
    label: str

a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check

assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')

The type info can be accessed via Point2D.__annotations__. TypedDict supports two additional equivalent forms:

Point2D = TypedDict('Point2D', x=int, y=int, label=str)
Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})

By default, all keys must be present in a TypedDict. It is possible to override this by specifying totality. Usage:

class point2D(TypedDict, total=False):
    x: int
    y: int

This means that a point2D TypedDict can have any of the keys omitted.A type checker is only expected to support a literal False or True as the value of the total argument. True is the default, and makes all items defined in the class body be required.

The class syntax is only supported in Python 3.6+, while two other syntax forms work for Python 2.7 and 3.2+

type: str

properties: Property

geometry: Geometry

class nrel.hive.reporting.handler.kepler_feature.KeplerFeature(id: nrel.hive.util.typealiases.VehicleId, state: str, starttime: nrel.hive.model.sim_time.SimTime)[source]

add_coord(geoid: nrel.hive.util.typealiases.GeoId, timestamp: nrel.hive.model.sim_time.SimTime) → None[source]

Adds a coordinate to the Vehicles list of coordinates while on the current trip

Parameters:

geoid – H3 cell
timestamp – The time when the vehicle was recorded at the geoid

Returns:

None

gen_json() → Feature[source]

Generates a json freindly dictionary for Kepler on the vehicle’s trip

Returns:: A dictionary on the vehicle’s trip for Kepler

reset(state: str, starttime: nrel.hive.model.sim_time.SimTime) → None[source]

Resets the vehicle’s coordinate list so that the vehicle can start a new trip

Parameters:

state – The string value of the vehicle’s state
starttime – The SimTime object of when the vehicle was recorded to start the trip

Returns:

None

nrel.hive.reporting.handler.kepler_feature

Module Contents

Classes

`nrel.hive.reporting.handler.kepler_feature`