GHA1 analytisch Ordnung variabel

dashboard.py

@@ -269,7 +269,7 @@ pane_gha1 = html.Div(
         inputfeld("s", "input-GHA1-s", "m", min=0),
         inputfeld("α₀", "input-GHA1-a", "°", min=0, max=360),
 
-        method_row("Analytisch", "cb-ana-1", "input-ana-1", ""),
+        method_row("Analytisch", "cb-ana-1", "input-ana-1", "70", info="Ordnung"),
         method_row("Numerisch", "cb-num-1", "input-num-n-1", "2000", info="Anzahl Schritte"),
         method_row("Stochastisch (ES)", "cb-stoch-1", "input-stoch-n-1", "1000", info="Länge Streckensegment [m]"),
         method_row("Approximiert", "cb-approx-1", "input-approx-ds-1", "1000", info="Länge Streckensegment [m]"),
@@ -479,6 +479,13 @@ def switch_tabs(tab):
     return show1, show2
 
 # Funktionen zum Aktivieren der Eingabefelder innerhalb der Checklisten
+@app.callback(
+    Output("input-ana-1", "disabled"),
+    Input("cb-ana-1", "value"),
+)
+def toggle_ds(v):
+    return "on" not in (v or [])
+
 @app.callback(
     Output("input-num-n-1", "disabled"),
     Input("cb-num-1", "value"),
@@ -543,6 +550,7 @@ def gha1_method_hint(n, a, nu, ap):
     Output("store-gha1-ana", "data"),
     Input("calc-token-gha1", "data"),
     State("cb-ana-1", "value"),
+    State("input-ana-1", "value"),
     State("input-GHA1-beta0", "value"),
     State("input-GHA1-lamb0", "value"),
     State("input-GHA1-s", "value"),
@@ -552,10 +560,13 @@ def gha1_method_hint(n, a, nu, ap):
     State("input-b", "value"),
     prevent_initial_call=True,
 )
-def compute_gha1_ana(n1, cb_ana, beta0, lamb0, s, a0, ax, ay, b):
+def compute_gha1_ana(n1, cb_ana, n_in, beta0, lamb0, s, a0, ax, ay, b):
     out = html.Div([
         html.H4("Erste Hauptaufgabe"),
     ])
+
+    n_in = int(n_in) if n_in else 70
+
     if not n1:
         return no_update, no_update
     if None in (ax, ay, b):
@@ -574,7 +585,7 @@ def compute_gha1_ana(n1, cb_ana, beta0, lamb0, s, a0, ax, ay, b):
     s_val = float(s)
 
     P0 = ell.ell2cart(beta_rad, lamb_rad)
-    P1_ana, alpha2 = gha1_ana(ell, P0, alpha_rad, s_val, 70)
+    P1_ana, alpha2 = gha1_ana(ell, P0, alpha_rad, s_val, n_in)
     beta2_ana, lamb2_ana = ell.cart2ell(P1_ana)
 
     out = html.Div([