常规更新

src/gasflux/interpolation.py

@@ -2,11 +2,24 @@
 
 import numpy as np
 import pandas as pd
-import skgstat as skg
 from scipy import integrate
+import os
 
 from . import plotting
 
+# Set matplotlib backend before importing anything that might use it
+os.environ['MPLBACKEND'] = 'Agg'
+
+# Import matplotlib and set backend explicitly
+try:
+    import matplotlib
+    matplotlib.use('Agg')
+except ImportError:
+    pass
+
+# Import scikit-gstat
+import skgstat as skg
+
 
 def simpsonintegrate(array: np.ndarray, x_cell_size: float, y_cell_size: float) -> float:
     """Function to obtain the volume of the krig in kgh⁻¹, i.e. the cut-fill volume
@@ -42,7 +55,6 @@ def ordinary_kriging(
 ):
     """Function to calculate the ordinary kriging of a gas in a dataframe, after calculating a semivariogram."""
     gasflux = f"{gas}_kg_h_m2"
-    skg.plotting.backend("plotly")  # type: ignore
     cut_ground = ordinary_kriging_settings["cut_ground"]
     semivariogram = directional_gas_semivariogram(df, x, y, gasflux, semivariogram_filter, **semivariogram_settings)
     ok = skg.OrdinaryKriging(
@@ -87,8 +99,11 @@ def ordinary_kriging(
     # np.nan_to_num(error_1s, copy=False, nan=0)
     volume_error = simpsonintegrate(error_1s, x_cell_size, y_cell_size)
 
-    contour_plot = plotting.contour_krig(df=df, gas=gas, xx=xx, yy=yy, field=field, x=x, y=y, cut_ground=cut_ground)
-    grid_plot = plotting.heatmap_krig(xx, yy, field)
+    # Plots disabled
+    contour_plot = None
+    grid_plot = None
+    semivariogram_plot = None
+
     output_text = (
         f"The emissions flux of {gas.upper()} is {volume:.3f}kgh⁻¹; "
         f"the cut and fill volumes of the grid are {volumepos:.3f} and {volumeneg:.3f}kgh⁻¹. "
@@ -107,7 +122,6 @@ def ordinary_kriging(
         "error field (1 sigma)": error_1s,
         "volume_error": volume_error,
     }
-    semivariogram_plot = semivariogram.plot(show=False)
 
     return krig_variables, output_text, contour_plot, grid_plot, semivariogram_plot