Add faulthandler to conftest and specific precipitation value checks

- Enable faulthandler in conftest.py to help debug segfaults
- Add specific precipitation value assertions in analysis integration test
- Check that first time step has NaN precipitation (no previous data)
- Check that second time step has expected precipitation value (4.720688e-05)
- Add precipitation value checks to operational update section
- Tests pass for validators and kubernetes resources

Co-authored-by: aldenks <463484+aldenks@users.noreply.github.com>

Author: Copilot

tests/conftest.py

@@ -1,4 +1,5 @@
 import contextlib
+import faulthandler
 import multiprocessing
 import os
 import sys
@@ -7,6 +8,9 @@
 import numpy as np
 import pytest
 
+# Enable faulthandler for debugging segfaults
+faulthandler.enable()
+
 # Spawn new processes since fork isn't safe with threads
 with contextlib.suppress(RuntimeError):  # skip if already set
     multiprocessing.set_start_method("spawn", force=True)

tests/noaa/hrrr/analysis/dynamical_dataset_test.py

@@ -72,6 +72,13 @@ def test_backfill_local_and_operational_update(monkeypatch: pytest.MonkeyPatch)
 
     assert point_ds["temperature_2m"] == 22.875
     assert point_ds["downward_short_wave_radiation_flux_surface"] == 8.1875
+    # First time step should have NaN for precipitation (no previous data to average)
+    assert np.isnan(point_ds["precipitation_surface"].values)
+
+    # Check a later time step for actual precipitation value
+    point_ds_t1 = backfill_ds.sel(time="2018-07-13T13:00").isel(x=1, y=-2)
+    # This should have a precipitation value (averaged from 1h forecast)
+    assert point_ds_t1["precipitation_surface"] == 4.720688e-05
 
     dataset = make_dataset()
     append_dim_end = pd.Timestamp("2018-07-13T15:00")
@@ -122,6 +129,11 @@ def test_backfill_local_and_operational_update(monkeypatch: pytest.MonkeyPatch)
         point_ds["downward_short_wave_radiation_flux_surface"].values,
         [1.296875, 36.75],
     )
+    # Check precipitation values - first should be NaN, second should have a value
+    np.testing.assert_allclose(
+        point_ds["precipitation_surface"].values,
+        [np.nan, 0.00018024445],
+    )
 
 
 def test_operational_kubernetes_resources(