gdm new version compliance

docs/index.md

@@ -8,7 +8,7 @@ Primarily this package will leverage open street parcels, road network to build
 You can install this package from `main` branch using following command.
 
 ```bash
-pip install "nrel-shift @ git+https://github.com/NREL-Distribution-Suites/shift.git@main"
+pip install "nrel-shift"
 ```
 
 ```{toctree}

docs/usage/mapping_phases.md

@@ -12,13 +12,13 @@ upon which equipment is used by equipment mapper.
 ```python
 from shift import TransformerPhaseMapperModel, TransformerTypes, BalancedPhaseMapper, add_phase_mapper_to_plot
 from gdm import DistributionTransformer
-from gdm.quantities import PositiveApparentPower
+from gdm.quantities import ApparentPower
 
 mapper = [
     TransformerPhaseMapperModel(
         tr_name=el.name,
         tr_type=TransformerTypes.SPLIT_PHASE,
-        tr_capacity=PositiveApparentPower(
+        tr_capacity=ApparentPower(
             25,
             "kilova",
         ),

docs/usage/mapping_voltages.md

@@ -9,15 +9,15 @@ using transformer voltages.
 
 ```python
 from shift import TransformerVoltageMapper, TransformerVoltageModel, add_voltage_mapper_to_plot
-from gdm.quantities import PositiveVoltage
+from gdm.quantities import Voltage
 from gdm import DistributionTransformer
 
 voltage_mapper = TransformerVoltageMapper(
     new_graph,
     xfmr_voltage=[
         TransformerVoltageModel(
             name=el.name,
-            voltages=[PositiveVoltage(7.2, "kilovolt"), PositiveVoltage(120, "volt")],
+            voltages=[Voltage(7.2, "kilovolt"), Voltage(120, "volt")],
         )
         for _, _, el in new_graph.get_edges()
         if el.edge_type is DistributionTransformer

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "nrel-shift"
-version = "0.4.1"
+version = "0.5.0"
 description = "Framework for developing synthetic distribution feeder model."
 readme = "README.md"
 requires-python = ">=3.10"
@@ -25,7 +25,7 @@ dependencies = [
   "scikit-learn",
   "plotly",
   "geopy",
-  "grid-data-models~=2.0.1",
+  "grid-data-models~=2.1.0",
   "importlib-metadata",
 ]
 

src/shift/data_model.py

@@ -2,7 +2,7 @@
 from enum import Enum
 
 from pydantic import BaseModel, Field, ConfigDict, model_validator
-from gdm.quantities import PositiveVoltage, PositiveApparentPower, PositiveDistance
+from gdm.quantities import Voltage, ApparentPower, Distance
 from gdm.distribution.components import (
     DistributionLoad,
     DistributionSolar,
@@ -60,9 +60,7 @@ class TransformerVoltageModel(BaseComponent):
     """Interface for transformer voltage model."""
 
     name: Annotated[str, Field(..., description="Name of the transformer.")]
-    voltages: Annotated[
-        list[PositiveVoltage], Field(..., description="List of transformer voltages.")
-    ]
+    voltages: Annotated[list[Voltage], Field(..., description="List of transformer voltages.")]
 
 
 class TransformerTypes(str, Enum):
@@ -81,7 +79,7 @@ class TransformerPhaseMapperModel(BaseModel):
     model_config = ConfigDict(arbitrary_types_allowed=True)
     tr_name: str
     tr_type: TransformerTypes
-    tr_capacity: PositiveApparentPower
+    tr_capacity: ApparentPower
     location: Location
 
 
@@ -116,7 +114,7 @@ class EdgeModel(BaseModel):
     model_config = ConfigDict(arbitrary_types_allowed=True)
     name: Annotated[str, Field(..., description="Name of the node.")]
     edge_type: Annotated[VALID_EDGE_TYPES, Field(..., description="Edge type.")]
-    length: Annotated[Optional[PositiveDistance], Field(None, description="Length of edge.")]
+    length: Annotated[Optional[Distance], Field(None, description="Length of edge.")]
 
     @model_validator(mode="after")
     def validate_fields(self):

src/shift/mapper/base_voltage_mapper.py

@@ -1,7 +1,7 @@
 from abc import ABC, abstractmethod
 from functools import cached_property
 
-from gdm.quantities import PositiveVoltage
+from gdm.quantities import Voltage
 
 from shift.graph.distribution_graph import DistributionGraph
 
@@ -24,10 +24,10 @@ def __init__(self, graph: DistributionGraph):
 
     @abstractmethod
     @cached_property
-    def node_voltage_mapping(self) -> dict[str, PositiveVoltage]:
+    def node_voltage_mapping(self) -> dict[str, Voltage]:
         """Returns dictionary mapping node name to line to ground voltage.
 
         Returns
         -------
-        dict[str, tuple[PositiveVoltage, PositiveVoltage]]
+        dict[str, tuple[Voltage, Voltage]]
         """

src/shift/mapper/edge_equipment_mapper.py

@@ -4,7 +4,7 @@
 
 from infrasys.component import Component
 from gdm.dataset.dataset_system import DatasetSystem
-from gdm.quantities import PositiveApparentPower, PositiveCurrent, PositiveVoltage
+from gdm.quantities import ApparentPower, Current, Voltage
 from gdm.distribution.components import (
     DistributionTransformer,
     DistributionBranchBase,
@@ -58,10 +58,10 @@ def __init__(
         self.phase_mapper = phase_mapper
         super().__init__(graph)
 
-    def _get_load_power(self, load_equipment: LoadEquipment) -> PositiveApparentPower:
+    def _get_load_power(self, load_equipment: LoadEquipment) -> ApparentPower:
         """Internal method to return total load power."""
 
-        return PositiveApparentPower(
+        return ApparentPower(
             sum(
                 [
                     math.sqrt(
@@ -76,7 +76,7 @@ def _get_load_power(self, load_equipment: LoadEquipment) -> PositiveApparentPowe
             "kilova",
         )
 
-    def _get_served_load(self, from_node: str, to_node: str) -> PositiveApparentPower:
+    def _get_served_load(self, from_node: str, to_node: str) -> ApparentPower:
         """Internal method to get load served downward from this edge."""
         dfs_graph = self.graph.get_dfs_tree()
         parent_node = from_node if dfs_graph.has_edge(from_node, to_node) else to_node
@@ -88,7 +88,7 @@ def _get_served_load(self, from_node: str, to_node: str) -> PositiveApparentPowe
                 and DistributionLoad in x.assets
             )
         )
-        served_load = PositiveApparentPower(0, "kilova")
+        served_load = ApparentPower(0, "kilova")
         for node in load_nodes:
             equipment = self.node_asset_equipment_mapping[node.name][DistributionLoad]
             if not isinstance(equipment, LoadEquipment):
@@ -98,7 +98,7 @@ def _get_served_load(self, from_node: str, to_node: str) -> PositiveApparentPowe
         return served_load
 
     def _get_closest_transformer_equipment(
-        self, capacity: PositiveApparentPower, num_phase: int, voltages: list[PositiveVoltage]
+        self, capacity: ApparentPower, num_phase: int, voltages: list[Voltage]
     ) -> Component:
         """Internal method to return transformer equipment by capacity."""
 
@@ -131,7 +131,7 @@ def filter_func(x: DistributionTransformerEquipment):
         return sorted(trs, key=lambda x: x.windings[0].rated_power)[0]
 
     def _get_closest_branch_equipment(
-        self, type_: Type[Component], current: PositiveCurrent, num_phase: int
+        self, type_: Type[Component], current: Current, num_phase: int
     ) -> Component:
         """Internal method to return closest conductor equipment."""
         if issubclass(type_, MatrixImpedanceBranchEquipment):
@@ -197,7 +197,7 @@ def edge_equipment_mapping(self) -> dict[str, Component]:
 
                 edge_equipment_mapper[edge.name] = self._get_closest_branch_equipment(
                     EQUIPMENT_TO_CLASS_TYPE[edge.edge_type],
-                    PositiveCurrent(current, "ampere"),
+                    Current(current, "ampere"),
                     num_phase,
                 )
         return edge_equipment_mapper

src/shift/mapper/transformer_voltage_mapper.py

@@ -1,7 +1,7 @@
 from functools import cached_property
 from typing import Callable
 
-from gdm.quantities import PositiveVoltage
+from gdm.quantities import Voltage
 from gdm.distribution.components import DistributionTransformer
 
 import networkx as nx
@@ -49,7 +49,7 @@ def _update_mapper_by_func(
         self,
         nodes: list[str],
         xfmr: TransformerVoltageModel,
-        mapper: dict[str, PositiveVoltage],
+        mapper: dict[str, Voltage],
         compare_func: Callable,
     ):
         """Internal function to update voltage mapper."""
@@ -60,8 +60,8 @@ def _update_mapper_by_func(
                 mapper[node] = compare_func(xfmr.voltages)
 
     @cached_property
-    def node_voltage_mapping(self) -> dict[str, PositiveVoltage]:
-        node_voltages: dict[str, PositiveVoltage] = {}
+    def node_voltage_mapping(self) -> dict[str, Voltage]:
+        node_voltages: dict[str, Voltage] = {}
         dfs_tree = self.graph.get_dfs_tree()
         xfmrs_in_mapper = [xfmr.name for xfmr in self.xfmr_voltage]
         edges = self.graph.get_edges(filter_func=lambda x: x.name in xfmrs_in_mapper)

src/shift/system_builder.py

@@ -14,7 +14,7 @@
     VoltageTypes,
     Phase,
 )
-from gdm.quantities import PositiveVoltage
+from gdm.quantities import Voltage
 import numpy as np
 
 from shift.data_model import (
@@ -126,9 +126,9 @@ def _add_branch(self, from_node: str, to_node: str, edge_data: EdgeModel):
         self._system.add_component(edge)
 
     @staticmethod
-    def _get_wdg_voltages(tr_equipment: DistributionTransformerEquipment) -> PositiveVoltage:
+    def _get_wdg_voltages(tr_equipment: DistributionTransformerEquipment) -> Voltage:
         """Internal method to return winding phase voltages."""
-        return PositiveVoltage(
+        return Voltage(
             [
                 wdg.rated_voltage.to("kilovolt").magnitude
                 / (

src/shift/utils/split_network_edges.py

@@ -5,14 +5,11 @@
 from geopy.distance import geodesic
 import numpy as np
 from infrasys.quantities import Distance
-from gdm.quantities import PositiveDistance
 
 from shift.data_model import GeoLocation
 
 
-def get_distance_between_points(
-    from_point: GeoLocation, to_point: GeoLocation
-) -> PositiveDistance:
+def get_distance_between_points(from_point: GeoLocation, to_point: GeoLocation) -> Distance:
     """Returns distance betwee two geo points.
 
     Parameters
@@ -25,12 +22,10 @@ def get_distance_between_points(
 
     Returns
     -------
-    PositiveDistance
+    Distance
     """
 
-    return PositiveDistance(
-        geodesic(*[reversed(point) for point in [from_point, to_point]]).m, "m"
-    )
+    return Distance(geodesic(*[reversed(point) for point in [from_point, to_point]]).m, "m")
 
 
 def split_network_edges(graph: nx.Graph, split_length: Distance) -> nx.Graph:

tests/test_graph.py

@@ -6,7 +6,7 @@
     DistributionLoad,
 )
 from infrasys import Location
-from gdm.quantities import PositiveDistance
+from gdm.quantities import Distance
 
 from shift import DistributionGraph, NodeModel, EdgeModel
 from shift.exceptions import (
@@ -41,7 +41,7 @@ def distribution_graph():
         node_1,
         node_3,
         edge_data=EdgeModel(
-            name="line-2", edge_type=DistributionBranchBase, length=PositiveDistance(1, "m")
+            name="line-2", edge_type=DistributionBranchBase, length=Distance(1, "m")
         ),
     )
 
@@ -70,9 +70,7 @@ def test_edge_addition():
     node_1 = NodeModel(name="node_1", location=Location(x=1, y=1))
     node_2 = NodeModel(name="node_2", location=Location(x=1, y=2))
     graph.add_nodes([node_1, node_2])
-    edge_data = EdgeModel(
-        name="line-1", edge_type=DistributionBranchBase, length=PositiveDistance(1, "m")
-    )
+    edge_data = EdgeModel(name="line-1", edge_type=DistributionBranchBase, length=Distance(1, "m"))
     graph.add_edge(
         node_1.name,
         node_2.name,
@@ -115,7 +113,7 @@ def test_adding_edge_that_already_exists(distribution_graph):
             "node_1",
             "node_3",
             edge_data=EdgeModel(
-                name="line-1", edge_type=DistributionBranchBase, length=PositiveDistance(1, "m")
+                name="line-1", edge_type=DistributionBranchBase, length=Distance(1, "m")
             ),
         )