Expose numeric trend segment formulas from native reconstruction models

python/set_devices/plot_processing.py

@@ -76,6 +76,13 @@ class Curve:
     input_count: int
     unique_count: int
     rmse: float
+    pieces: tuple = ()
+
+    def piece_at(self, x):
+        for piece in self.pieces:
+            if piece.left <= x <= piece.right:
+                return piece
+        return None
 
     @property
     def label(self):
@@ -100,8 +107,8 @@ def prepare(snapshot, key, method="pchip", output_count=1000, degree=2):
 def process(request):
     if request is None:
         raise ValueError("Нет доступного аналогового канала")
-    result = reconstruct(request.series.points, request.method, request.output_count, request.degree)
-    return Curve(request, tuple(result.points), result.input_count, result.unique_count, result.rmse)
+    result = reconstruct(request.series.points, request.method, request.output_count, request.degree, with_model=True)
+    return Curve(request, tuple(result.points), result.input_count, result.unique_count, result.rmse, result.pieces)
 
 
 def write_csv(curve, stream):