BUG: Environment not Encoding Necessary Parameters for Decode

CHANGELOG.md

@@ -87,6 +87,7 @@ Attention: The newest changes should be on top -->
 
 ### Fixed
 
+- BUG: Environment not Encoding Necessary Parameters for Decode [#1059](https://github.com/RocketPy-Team/RocketPy/pull/1059)
 - BUG: fix individual fin (`TrapezoidalFin`, `EllipticalFin`, `FreeFormFin`) serialization crash when saving rockets/flights [#1048](https://github.com/RocketPy-Team/RocketPy/pull/1048)
 - BUG: support the new Wyoming sounding WSGI page format (legacy cgi-bin endpoint was discontinued by UWyo) [#1048](https://github.com/RocketPy-Team/RocketPy/pull/1048)
 - FIX: pre-release hardening — bug fixes across the unreleased features [#1047](https://github.com/RocketPy-Team/RocketPy/pull/1047)

rocketpy/environment/environment.py

@@ -2924,13 +2924,43 @@ def to_dict(self, **kwargs):
             "timezone": self.timezone,
             "max_expected_height": self.max_expected_height,
             "atmospheric_model_type": self.atmospheric_model_type,
+            "atmospheric_model_init_date": getattr(
+                self, "atmospheric_model_init_date", None
+            ),
+            "atmospheric_model_end_date": getattr(
+                self, "atmospheric_model_end_date", None
+            ),
+            "atmospheric_model_interval": getattr(
+                self, "atmospheric_model_interval", None
+            ),
+            "atmospheric_model_init_lat": getattr(
+                self, "atmospheric_model_init_lat", None
+            ),
+            "atmospheric_model_end_lat": getattr(
+                self, "atmospheric_model_end_lat", None
+            ),
+            "atmospheric_model_init_lon": getattr(
+                self, "atmospheric_model_init_lon", None
+            ),
+            "atmospheric_model_end_lon": getattr(
+                self, "atmospheric_model_end_lon", None
+            ),
             "pressure": self.pressure,
             "temperature": self.temperature,
             "wind_velocity_x": wind_velocity_x,
             "wind_velocity_y": wind_velocity_y,
             "wind_heading": wind_heading,
             "wind_direction": wind_direction,
             "wind_speed": wind_speed,
+            "level_ensemble": getattr(self, "level_ensemble", None),
+            "height_ensemble": getattr(self, "height_ensemble", None),
+            "temperature_ensemble": getattr(self, "temperature_ensemble", None),
+            "wind_u_ensemble": getattr(self, "wind_u_ensemble", None),
+            "wind_v_ensemble": getattr(self, "wind_v_ensemble", None),
+            "wind_heading_ensemble": getattr(self, "wind_heading_ensemble", None),
+            "wind_direction_ensemble": getattr(self, "wind_direction_ensemble", None),
+            "wind_speed_ensemble": getattr(self, "wind_speed_ensemble", None),
+            "num_ensemble_members": getattr(self, "num_ensemble_members", None),
         }
 
         if kwargs.get("include_outputs", False):
@@ -2954,6 +2984,7 @@ def from_dict(cls, data):  # pylint: disable=too-many-statements
             max_expected_height=data["max_expected_height"],
         )
         atmospheric_model = data["atmospheric_model_type"]
+        env.atmospheric_model_type = atmospheric_model
 
         match atmospheric_model:
             case "standard_atmosphere":

rocketpy/environment/tools.py

@@ -8,6 +8,7 @@
 import logging
 import math
 import warnings
+from datetime import datetime
 
 import netCDF4
 import numpy as np
@@ -16,6 +17,23 @@
 
 logger = logging.getLogger(__name__)
 
+
+def _to_datetime(date):
+    """Convert netCDF/cftime date-like values to standard datetimes."""
+    if isinstance(date, datetime):
+        return date
+
+    return datetime(
+        date.year,
+        date.month,
+        date.day,
+        date.hour,
+        getattr(date, "minute", 0),
+        getattr(date, "second", 0),
+        getattr(date, "microsecond", 0),
+    )
+
+
 ## Wind data functions
 
 
@@ -590,7 +608,7 @@ def get_initial_date_from_time_array(time_array, units=None):
         A datetime object representing the first time in the time array.
     """
     units = units or time_array.units
-    return netCDF4.num2date(time_array[0], units, calendar="gregorian")
+    return _to_datetime(netCDF4.num2date(time_array[0], units, calendar="gregorian"))
 
 
 def get_final_date_from_time_array(time_array, units=None):
@@ -609,7 +627,7 @@ def get_final_date_from_time_array(time_array, units=None):
         A datetime object representing the last time in the time array.
     """
     units = units if units is not None else time_array.units
-    return netCDF4.num2date(time_array[-1], units, calendar="gregorian")
+    return _to_datetime(netCDF4.num2date(time_array[-1], units, calendar="gregorian"))
 
 
 def get_interval_date_from_time_array(time_array, units=None):

tests/fixtures/environment/environment_fixtures.py

@@ -5,6 +5,42 @@
 from rocketpy import Environment, EnvironmentAnalysis
 
 
+class _DummyTimeArray:
+    """Minimal time array with netCDF-like units metadata."""
+
+    units = "hours since 2023-06-24 00:00:00"
+
+    def __init__(self, values):
+        self.values = values
+
+    def __getitem__(self, index):
+        return self.values[index]
+
+
+class _DummyCftimeDate:
+    """Small cftime-like datetime used to exercise NetCDF date conversion."""
+
+    year = 2023
+    month = 6
+    day = 24
+    hour = 9
+    minute = 30
+    second = 15
+    microsecond = 123456
+
+
+@pytest.fixture
+def dummy_time_array():
+    """NetCDF-like time array for environment date helper tests."""
+    return _DummyTimeArray([0, 6])
+
+
+@pytest.fixture
+def dummy_cftime_date():
+    """cftime-like date object for environment date helper tests."""
+    return _DummyCftimeDate()
+
+
 @pytest.fixture
 def example_plain_env():
     """Simple object of the Environment class to be used in the tests.

tests/unit/environment/test_environment.py

@@ -1,7 +1,9 @@
 import json
 import os
+from datetime import datetime
 
 import numpy as np
+import numpy.testing as npt
 import pytest
 import pytz
 
@@ -10,6 +12,8 @@
     find_longitude_index,
     geodesic_to_lambert_conformal,
     geodesic_to_utm,
+    get_final_date_from_time_array,
+    get_initial_date_from_time_array,
     utm_to_geodesic,
 )
 from rocketpy.environment.weather_model_mapping import WeatherModelMapping
@@ -24,6 +28,27 @@ class DummyLambertProjection:
     earth_radius = 6371229.0
 
 
+@pytest.mark.parametrize(
+    "date_helper", [get_initial_date_from_time_array, get_final_date_from_time_array]
+)
+def test_time_array_date_helpers_convert_cftime_dates(
+    monkeypatch, date_helper, dummy_time_array, dummy_cftime_date
+):
+    """Convert NetCDF/cftime date objects to JSON-serializable datetimes."""
+
+    # Arrange
+    def fake_num2date(*_args, **_kwargs):
+        return dummy_cftime_date
+
+    monkeypatch.setattr("rocketpy.environment.tools.netCDF4.num2date", fake_num2date)
+
+    # Act
+    converted_date = date_helper(dummy_time_array)
+
+    # Assert
+    assert converted_date == datetime(2023, 6, 24, 9, 30, 15, 123456)
+
+
 @pytest.mark.parametrize(
     "latitude, longitude", [(-21.960641, -47.482122), (0, 0), (21.960641, 47.482122)]
 )
@@ -306,6 +331,93 @@ def test_environment_export_environment_exports_valid_environment_json(
     os.remove("environment.json")
 
 
+@pytest.mark.parametrize(
+    "atmospheric_model_type", ["windy", "forecast", "reanalysis", "ensemble"]
+)
+def test_environment_to_dict_from_dict_round_trip_preserves_weather_metadata(
+    example_plain_env, atmospheric_model_type
+):
+    """Round-trip weather-model environments without losing metadata.
+
+    Parameters
+    ----------
+    example_plain_env : rocketpy.Environment
+        Baseline environment used to build the serialized state.
+    atmospheric_model_type : str
+        Weather-model label stored in the serialized payload.
+    """
+    # Arrange
+    env = example_plain_env
+
+    weather_metadata = {
+        "atmospheric_model_type": atmospheric_model_type,
+        "atmospheric_model_file": None,
+        "atmospheric_model_dict": {"time": "time"},
+        "atmospheric_model_init_date": datetime(2024, 1, 1, 0),
+        "atmospheric_model_end_date": datetime(2024, 1, 1, 6),
+        "atmospheric_model_interval": 6,
+        "atmospheric_model_init_lat": -10.0,
+        "atmospheric_model_end_lat": 10.0,
+        "atmospheric_model_init_lon": -20.0,
+        "atmospheric_model_end_lon": 20.0,
+    }
+
+    ensemble_metadata = {
+        "level_ensemble": None,
+        "height_ensemble": None,
+        "temperature_ensemble": None,
+        "wind_u_ensemble": None,
+        "wind_v_ensemble": None,
+        "wind_heading_ensemble": None,
+        "wind_direction_ensemble": None,
+        "wind_speed_ensemble": None,
+        "num_ensemble_members": None,
+    }
+
+    if atmospheric_model_type == "ensemble":
+        ensemble_metadata.update(
+            {
+                "level_ensemble": np.array([1000.0, 900.0]),
+                "height_ensemble": np.array([[0.0, 1000.0]]),
+                "temperature_ensemble": np.array([[288.15, 281.15]]),
+                "wind_u_ensemble": np.array([[2.0, 3.0]]),
+                "wind_v_ensemble": np.array([[4.0, 5.0]]),
+                "wind_heading_ensemble": np.array([[26.565051, 30.963757]]),
+                "wind_direction_ensemble": np.array([[206.565051, 210.963757]]),
+                "wind_speed_ensemble": np.array([[4.472136, 5.830952]]),
+                "num_ensemble_members": 1,
+            }
+        )
+
+    for metadata in (weather_metadata, ensemble_metadata):
+        for attribute, value in metadata.items():
+            setattr(env, attribute, value)
+
+    env_dict = env.to_dict()
+
+    # The serialized payload should be self-contained and not depend on files.
+    assert "atmospheric_model_file" not in env_dict
+    assert "atmospheric_model_dict" not in env_dict
+
+    # Act
+    restored_env = Environment.from_dict(env_dict)
+
+    # Assert
+    assert restored_env.atmospheric_model_type == atmospheric_model_type
+    assert restored_env.atmospheric_model_init_date == env.atmospheric_model_init_date
+    assert restored_env.atmospheric_model_end_date == env.atmospheric_model_end_date
+    assert restored_env.atmospheric_model_interval == env.atmospheric_model_interval
+    assert restored_env.atmospheric_model_init_lat == env.atmospheric_model_init_lat
+    assert restored_env.atmospheric_model_end_lat == env.atmospheric_model_end_lat
+    assert restored_env.atmospheric_model_init_lon == env.atmospheric_model_init_lon
+    assert restored_env.atmospheric_model_end_lon == env.atmospheric_model_end_lon
+
+    if atmospheric_model_type == "ensemble":
+        npt.assert_allclose(restored_env.level_ensemble, env.level_ensemble)
+        npt.assert_allclose(restored_env.height_ensemble, env.height_ensemble)
+        assert restored_env.num_ensemble_members == env.num_ensemble_members
+
+
 class _DummyDataset:
     """Small test double that mimics a netCDF dataset variables mapping."""