Trennung der einzelnen Berechnungsverfahren
This commit is contained in:
Tammo.Weber
594
dashboard.py
594
dashboard.py
@@ -3,13 +3,16 @@ import dash
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import plotly.graph_objects as go
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import numpy as np
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from GHA_triaxial.panou import gha1_ana
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from GHA_triaxial.panou import gha1_num
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from GHA_triaxial.panou_2013_2GHA_num import gha2_num
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from ellipsoide import EllipsoidTriaxial
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import winkelumrechnungen as wu
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import ausgaben as aus
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from GHA_triaxial.panou import gha1_ana
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from GHA_triaxial.panou import gha1_num
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from es_cma_gha1 import gha1_es
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from GHA_triaxial.panou_2013_2GHA_num import gha2_num
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app = Dash(__name__, suppress_callback_exceptions=True)
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app.title = "Geodätische Hauptaufgaben"
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@@ -150,13 +153,15 @@ def figure_lines(fig, line, color):
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return fig
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# HTML-Elemente
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app.layout = html.Div(
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style={"fontFamily": "Arial", "padding": "5px", "width": "70%", "margin-left": "auto"},
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children=[
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html.H1("Geodätische Hauptaufgaben"),
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html.H2("für dreiachsige Ellipsoide"),
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# Dropdown und Eingabefelder Ellipsoid
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html.Label("Ellipsoid wählen:"),
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dcc.Dropdown(
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id="dropdown-ellipsoid",
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@@ -205,8 +210,10 @@ app.layout = html.Div(
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style={"marginRight": "10px", "marginBottom": "20px"},
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),
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# Ausgabebereich für Ellipsoid-Berechnung
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html.Div(id="output-area", style={"marginBottom": "20px"}),
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# Tabs für beide Hauptaufgaben - Inhalt wird per Funktion generiert s.u.
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dcc.Tabs(
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id="tabs-GHA",
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value="tab-GHA1",
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@@ -222,15 +229,28 @@ app.layout = html.Div(
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style={"marginRight": "10px", "marginBottom": "20px", "width": "50%"},
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),
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html.Div(id="output-gha1", style={"marginBottom": "20px"}),
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dcc.Loading(html.Div(id="output-gha1-ana")),
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dcc.Loading(html.Div(id="output-gha1-num")),
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dcc.Loading(html.Div(id="output-gha1-stoch")),
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html.Div(id="output-gha2", style={"marginBottom": "20px"}),
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dcc.Store(id="store-gha1-ana"),
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dcc.Store(id="store-gha1-num"),
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dcc.Store(id="store-gha1-stoch"),
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dcc.Loading(html.Div(id="output-gha2-num")),
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dcc.Loading(html.Div(id="output-gha2-stoch")),
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dcc.Store(id="store-gha2-num"),
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dcc.Store(id="store-gha2-stoch"),
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# Ausgabebereich für den Plot
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dcc.Graph(
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id="ellipsoid-plot",
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style={"height": "500px", "width": "700px"},
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),
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# Fussleiste
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html.P(
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"© 2025",
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style={
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@@ -242,7 +262,7 @@ app.layout = html.Div(
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],
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)
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# Funktion zur Wahl der Halbachsen
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@app.callback(
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Output("input-ax", "value"),
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Output("input-ay", "value"),
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@@ -260,7 +280,7 @@ def fill_inputs_from_dropdown(selected_ell):
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b = ell.b
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return ax, ay, b
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# Funktion zur Berechnung der Ellipsoid-Parameter
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@app.callback(
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Output("output-area", "children"),
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Input("calc-ell", "n_clicks"),
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@@ -276,8 +296,16 @@ def update_output(n_clicks, ax, ay, b):
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if ay >= ax or b >= ay or ax <= 0 or ay <= 0 or b <= 0:
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return html.Span("Eingabe inkorrekt.", style={"color": "red"})
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ell = EllipsoidTriaxial(ax, ay, b)
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return f"eₓ = {round(ell.ex, 6)}, ", f"eᵧ = {round(ell.ey, 6)}, ", f"eₑ = {round(ell.ee, 6)}"
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out_ell = []
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out_ell.append(
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html.Div([
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html.P(f"eₓ = {round(ell.ex, 6)}, eᵧ = {round(ell.ey, 6)}, eₑ = {round(ell.ee, 6)}"),
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#html.Br(),
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html.P(f"Eₓ = {round(ell.Ex, 3)}, Eᵧ = {round(ell.Ey, 3)}, Eₑ = {round(ell.Ee, 3)}"),
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]))
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return out_ell
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# Funktion zur Generierung der Tab-Inhalte
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@app.callback(
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Output("tabs-GHA-out", "children"),
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Input("tabs-GHA", "value"),
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@@ -318,6 +346,7 @@ def render_content(tab):
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],
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style={"marginBottom": "20px"},
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),
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html.H4("Erste Hauptaufgabe"),
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],
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id="pane-gha1",
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style=show1,
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@@ -354,6 +383,7 @@ def render_content(tab):
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],
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style={"marginBottom": "20px"},
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),
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html.H4("Zweite Hauptaufgabe"),
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],
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id="pane-gha2",
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style=show2,
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@@ -361,17 +391,341 @@ def render_content(tab):
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return html.Div([pane_gha1, pane_gha2])
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# Funktion zur Berechnung der Hauptaufgaben
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# @app.callback(
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# Output("output-gha1", "children"),
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# Output("output-gha2", "children"),
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# Output("ellipsoid-plot", "figure"),
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# Input("button-calc-gha1", "n_clicks"),
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# Input("button-calc-gha2", "n_clicks"),
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# State("input-GHA1-beta1", "value"),
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# State("input-GHA1-lamb1", "value"),
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# State("input-GHA1-s", "value"),
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# State("input-GHA1-a", "value"),
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# State("input-GHA2-beta1", "value"),
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# State("input-GHA2-lamb1", "value"),
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# State("input-GHA2-beta2", "value"),
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# State("input-GHA2-lamb2", "value"),
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# State("input-ax", "value"),
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# State("input-ay", "value"),
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# State("input-b", "value"),
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# State("method-checklist-1", "value"),
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# State("method-checklist-2", "value"),
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#
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# prevent_initial_call=True,
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# )
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#
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# def calc_and_plot(n1, n2,
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# beta11, lamb11, s, a_deg,
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# beta21, lamb21, beta22, lamb22,
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# ax, ay, b, method1, method2):
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#
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# if not (n1 or n2):
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# return no_update, no_update, no_update
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#
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# if not ax or not ay or not b:
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# return html.Span("Bitte Ellipsoid auswählen!", style={"color": "red"}), "", go.Figure()
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#
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# ell = EllipsoidTriaxial(ax, ay, b)
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#
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# if dash.ctx.triggered_id == "button-calc-gha1":
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# if None in (beta11, lamb11, s, a_deg):
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#
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# return html.Span("Bitte β₁, λ₁, s und α eingeben.", style={"color": "red"}), "", go.Figure()
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#
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# beta_rad = wu.deg2rad(float(beta11))
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# lamb_rad = wu.deg2rad(float(lamb11))
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# alpha_rad = wu.deg2rad(float(a_deg))
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# s_val = float(s)
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#
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# p1 = tuple(map(float, ell.ell2cart(beta_rad, lamb_rad)))
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# out1 = []
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#
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# if "analytisch" in method1:
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# # ana
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# x2, y2, z2 = gha1_ana(ell, p1, alpha_rad, s_val, 70)
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# p2_ana = (float(x2), float(y2), float(z2))
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# beta2, lamb2 = ell.cart2ell([x2, y2, z2])
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#
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# #out1 += f"kartesisch: x₂={p2[0]:.5f} m, y₂={p2[1]:.5f} m, z₂={p2[2]:.5f} m; ellipsoidisch: {aus.gms("β₂", beta2, 5)}, {aus.gms("λ₂", lamb2, 5)},"
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# out1.append(
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# html.Div([
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# html.Strong("Analytisch: "),
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# html.Br(),
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# html.Span(f"kartesisch: x₂={x2:.4f} m, y₂={y2:.4f} m, z₂={z2:.4f} m"),
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# html.Br(),
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# html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2, 4)}, {aus.gms('λ₂', lamb2, 4)}")
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# ])
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# )
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#
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# if "numerisch" in method1:
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# # num
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# x1, y1, z1, werte = gha1_num(ell, p1, alpha_rad, s_val, 10000)
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# p2_num = x1, y1, z1
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# beta2_num, lamb2_num = ell.cart2ell(p2_num)
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#
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# out1.append(
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# html.Div([
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# html.Strong("Numerisch: "),
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# html.Br(),
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# html.Span(f"kartesisch: x₂={p2_num[0]:.4f} m, y₂={p2_num[1]:.4f} m, z₂={p2_num[2]:.4f} m"),
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# html.Br(),
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# html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2_num, 4)}, {aus.gms('λ₂', lamb2_num, 4)}")
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# ])
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# )
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#
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# geo_line_num1 = []
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# for x1, _, y1, _, z1, _ in werte:
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# geo_line_num1.append([x1, y1, z1])
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#
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#
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# if "stochastisch" in method1:
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# # stoch
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# p2_stoch = "noch nicht implementiert.."
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#
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# out1.append(
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# html.Div([
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# html.Strong("Stochastisch (ES): "),
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# html.Span(f"{p2_stoch}")
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# ])
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# )
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#
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# if not method1:
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# return html.Span("Bitte Berechnungsverfahren auswählen!", style={"color": "red"}), "", go.Figure()
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#
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# fig = ellipsoid_figure(ell, title="Erste Hauptaufgabe - analytisch")
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# #fig = figure_constant_lines(fig, ell, "geod")
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# fig = figure_constant_lines(fig, ell, "ell")
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# #fig = figure_constant_lines(fig, ell, "para")
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# if "analytisch" in method1:
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# fig = figure_points(fig, [("P1", p1, "black"), ("P2", p2_ana, "red")])
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# if "numerisch" in method1:
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# fig = figure_lines(fig, geo_line_num1, "#ff8c00")
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#
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# #out1 = f"kartesisch: x₂={p2[0]:.5f} m, y₂={p2[1]:.5f} m, z₂={p2[2]:.5f} m; ellipsoidisch: {aus.gms("β₂", beta2, 5)}, {aus.gms("λ₂", lamb2, 5)}, {p2_num}"
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# return out1, "", fig
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#
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# if dash.ctx.triggered_id == "button-calc-gha2":
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# if None in (beta21, lamb21, beta22, lamb22):
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# return html.Span("Bitte β₁, λ₁, β₂, λ₂ eingeben.", style={"color": "red"}), "", go.Figure()
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#
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# p1 = tuple(ell.ell2cart(np.deg2rad(float(beta21)), np.deg2rad(float(lamb21))))
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# p2 = tuple(ell.ell2cart(np.deg2rad(float(beta22)), np.deg2rad(float(lamb22))))
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#
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# out2 = []
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#
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# if "numerisch" in method2:
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# alpha_1, alpha_2, s12, beta_arr, lamb_arr = gha2_num(
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# ell,
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# np.deg2rad(float(beta21)), np.deg2rad(float(lamb21)),
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# np.deg2rad(float(beta22)), np.deg2rad(float(lamb22))
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# )
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# geo_line_num = []
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# for beta, lamb in zip(beta_arr, lamb_arr):
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# point = ell.ell2cart(beta, lamb)
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# geo_line_num.append(point)
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#
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# out2.append(
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# html.Div([
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# html.Strong("Numerisch: "),
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# html.Span(f"{aus.gms('α₁₂', alpha_1, 4)}, {aus.gms('α₂₁', alpha_2, 4)}, s = {s12:.4f} m"),
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# ])
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# )
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#
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#
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# if "stochastisch" in method2:
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# # stoch
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# a_stoch = "noch nicht implementiert.."
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#
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# out2.append(
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# html.Div([
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# html.Strong("Stochastisch (ES): "),
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# html.Span(f"{a_stoch}")
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# ])
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# )
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#
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# if not method2:
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# return html.Span("Bitte Berechnungsverfahren auswählen!", style={"color": "red"}), "", go.Figure()
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#
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# fig = ellipsoid_figure(ell, title="Zweite Hauptaufgabe")
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# fig = figure_constant_lines(fig, ell, "ell")
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# if "numerisch" in method2:
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# fig = figure_lines(fig, geo_line_num, "#ff8c00")
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# fig = figure_points(fig, [("P1", p1, "black"), ("P2", p2, "red")])
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#
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#
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#
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# return "", out2, fig
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#
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# return no_update, no_update, no_update
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# -- GHA 1 ---
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@app.callback(
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Output("output-gha1", "children"),
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Output("output-gha2", "children"),
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Output("ellipsoid-plot", "figure"),
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Output("output-gha1-ana", "children"),
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Output("store-gha1-ana", "data"),
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Input("button-calc-gha1", "n_clicks"),
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Input("button-calc-gha2", "n_clicks"),
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State("input-GHA1-beta1", "value"),
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State("input-GHA1-lamb1", "value"),
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State("input-GHA1-s", "value"),
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State("input-GHA1-a", "value"),
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State("input-ax", "value"),
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State("input-ay", "value"),
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State("input-b", "value"),
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State("method-checklist-1", "value"),
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prevent_initial_call=True,
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)
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def compute_gha1_ana(n1, beta11, lamb11, s, a_deg, ax, ay, b, method1):
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if not n1:
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return no_update, no_update
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if None in (ax, ay, b):
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return html.Span("Bitte Ellipsoid wählen.", style={"color": "red"}), None
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if None in (beta11, lamb11, s, a_deg):
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return html.Span("Bitte β₁, λ₁, s und α eingeben.", style={"color": "red"}), None
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if not method1:
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return html.Span("Bitte Berechnungsverfahren wählen.", style={"color": "red"}), None
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if "analytisch" not in (method1 or []):
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return no_update, no_update
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ell = EllipsoidTriaxial(ax, ay, b)
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beta_rad = wu.deg2rad(float(beta11))
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lamb_rad = wu.deg2rad(float(lamb11))
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alpha_rad = wu.deg2rad(float(a_deg))
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s_val = float(s)
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p1 = tuple(map(float, ell.ell2cart(beta_rad, lamb_rad)))
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x2, y2, z2 = gha1_ana(ell, p1, alpha_rad, s_val, 70)
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p2 = (float(x2), float(y2), float(z2))
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beta2, lamb2 = ell.cart2ell([x2, y2, z2])
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out = html.Div([
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html.Strong("Analytisch: "),
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html.Br(),
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html.Span(f"kartesisch: x₂={x2:.4f} m, y₂={y2:.4f} m, z₂={z2:.4f} m"),
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html.Br(),
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html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2, 4)}, {aus.gms('λ₂', lamb2, 4)}"),
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html.Br(),
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])
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store = {
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"points": [("P1", p1, "black"), ("P2", p2, "red")],
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"polyline": None,
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"color": "#d62728"
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}
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return out, store
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@app.callback(
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Output("output-gha1-num", "children"),
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Output("store-gha1-num", "data"),
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Input("button-calc-gha1", "n_clicks"),
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State("input-GHA1-beta1", "value"),
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State("input-GHA1-lamb1", "value"),
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State("input-GHA1-s", "value"),
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State("input-GHA1-a", "value"),
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State("input-ax", "value"),
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State("input-ay", "value"),
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State("input-b", "value"),
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State("method-checklist-1", "value"),
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prevent_initial_call=True,
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)
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def compute_gha1_num(n1, beta11, lamb11, s, a_deg, ax, ay, b, method1):
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if not n1:
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return no_update, no_update
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if "numerisch" not in (method1 or []):
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return no_update, no_update
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ell = EllipsoidTriaxial(ax, ay, b)
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beta_rad = wu.deg2rad(float(beta11))
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lamb_rad = wu.deg2rad(float(lamb11))
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alpha_rad = wu.deg2rad(float(a_deg))
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s_val = float(s)
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p1 = tuple(map(float, ell.ell2cart(beta_rad, lamb_rad)))
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xN, yN, zN, werte = gha1_num(ell, p1, alpha_rad, s_val, 10000)
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p2 = (xN, yN, zN)
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beta2_num, lamb2_num = ell.cart2ell(p2)
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out = html.Div([
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html.Strong("Numerisch: "),
|
||||
html.Br(),
|
||||
html.Span(f"kartesisch: x₂={p2[0]:.4f} m, y₂={p2[1]:.4f} m, z₂={p2[2]:.4f} m"),
|
||||
html.Br(),
|
||||
html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2_num, 4)}, {aus.gms('λ₂', lamb2_num, 4)}"),
|
||||
html.Br(),
|
||||
])
|
||||
|
||||
polyline = [[x1, y1, z1] for x1, _, y1, _, z1, _ in werte]
|
||||
|
||||
store = {
|
||||
"points": [("P1", p1, "black"), ("P2", p2, "#ff8c00")],
|
||||
"polyline": polyline,
|
||||
"color": "#ff8c00"
|
||||
}
|
||||
return out, store
|
||||
|
||||
@app.callback(
|
||||
Output("output-gha1-stoch", "children"),
|
||||
Output("store-gha1-stoch", "data"),
|
||||
Input("button-calc-gha1", "n_clicks"),
|
||||
State("input-GHA1-beta1", "value"),
|
||||
State("input-GHA1-lamb1", "value"),
|
||||
State("input-GHA1-s", "value"),
|
||||
State("input-GHA1-a", "value"),
|
||||
State("input-ax", "value"),
|
||||
State("input-ay", "value"),
|
||||
State("input-b", "value"),
|
||||
State("method-checklist-1", "value"),
|
||||
prevent_initial_call=True,
|
||||
)
|
||||
def compute_gha1_stoch(n1, beta11, lamb11, s, a_deg, ax, ay, b, method1):
|
||||
if not n1:
|
||||
return no_update, no_update
|
||||
if "stochastisch" not in (method1 or []):
|
||||
return no_update, no_update
|
||||
|
||||
ell = EllipsoidTriaxial(ax, ay, b)
|
||||
beta_rad = wu.deg2rad(float(beta11))
|
||||
lamb_rad = wu.deg2rad(float(lamb11))
|
||||
alpha_rad = wu.deg2rad(float(a_deg))
|
||||
s_val = float(s)
|
||||
|
||||
betas, lambs, alphas, S_real = gha1_es(
|
||||
beta_rad, lamb_rad, alpha_rad,
|
||||
s_val,
|
||||
10000,
|
||||
ell,
|
||||
sigma0=1e-10
|
||||
)
|
||||
beta2 = betas[-1]
|
||||
lamb2 = lambs[-1]
|
||||
alpha2 = alphas[-1]
|
||||
|
||||
p1 = ell.ell2cart(beta_rad, lamb_rad)
|
||||
p2 = ell.ell2cart(beta2, lamb2)
|
||||
x2, y2, z2 = p2[0], p2[1], p2[2]
|
||||
|
||||
out = html.Div([
|
||||
html.Strong("Stochastisch: "),
|
||||
html.Br(),
|
||||
html.Span(f"kartesisch: x₂={x2:.4f} m, y₂={y2:.4f} m, z₂={z2:.4f} m"),
|
||||
html.Br(),
|
||||
html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2, 4)}, {aus.gms('λ₂', lamb2, 4)}"),
|
||||
])
|
||||
|
||||
store = {
|
||||
"points": [("P1", p1, "black"), ("P2", p2, "red")],
|
||||
"polyline": None,
|
||||
"color": "#d62728"
|
||||
}
|
||||
return out, store
|
||||
|
||||
|
||||
# --- GHA 2 ---
|
||||
@app.callback(
|
||||
Output("output-gha2-num", "children"),
|
||||
Output("store-gha2-num", "data"),
|
||||
Input("button-calc-gha2", "n_clicks"),
|
||||
State("input-GHA2-beta1", "value"),
|
||||
State("input-GHA2-lamb1", "value"),
|
||||
State("input-GHA2-beta2", "value"),
|
||||
@@ -379,156 +733,112 @@ def render_content(tab):
|
||||
State("input-ax", "value"),
|
||||
State("input-ay", "value"),
|
||||
State("input-b", "value"),
|
||||
State("method-checklist-1", "value"),
|
||||
State("method-checklist-2", "value"),
|
||||
|
||||
prevent_initial_call=True,
|
||||
)
|
||||
def calc_and_plot(n1, n2,
|
||||
beta11, lamb11, s, a_deg,
|
||||
beta21, lamb21, beta22, lamb22,
|
||||
ax, ay, b, method1, method2):
|
||||
|
||||
if not (n1 or n2):
|
||||
return no_update, no_update, no_update
|
||||
|
||||
if not ax or not ay or not b:
|
||||
return html.Span("Bitte Ellipsoid auswählen!", style={"color": "red"}), "", go.Figure()
|
||||
def compute_gha2_num(n2, beta1, lamb1, beta2, lamb2, ax, ay, b, method2):
|
||||
if not n2:
|
||||
return no_update, no_update
|
||||
if None in (ax, ay, b):
|
||||
return html.Span("Bitte Ellipsoid wählen.", style={"color": "red"}), None
|
||||
if None in (beta1, lamb1, beta2, lamb2):
|
||||
return html.Span("Bitte β₁, λ₁, β₂ und λ₂ eingeben.", style={"color": "red"}), None
|
||||
if not method2:
|
||||
return html.Span("Bitte Berechnungsverfahren wählen.", style={"color": "red"}), None
|
||||
if "numerisch" not in (method2 or []):
|
||||
return no_update, no_update
|
||||
|
||||
ell = EllipsoidTriaxial(ax, ay, b)
|
||||
|
||||
if dash.ctx.triggered_id == "button-calc-gha1":
|
||||
if None in (beta11, lamb11, s, a_deg):
|
||||
b1 = wu.deg2rad(float(beta1)); l1 = wu.deg2rad(float(lamb1))
|
||||
b2 = wu.deg2rad(float(beta2)); l2 = wu.deg2rad(float(lamb2))
|
||||
|
||||
return html.Span("Bitte β₁, λ₁, s und α eingeben.", style={"color": "red"}), "", go.Figure()
|
||||
p1 = tuple(map(float, ell.ell2cart(b1, l1)))
|
||||
p2 = tuple(map(float, ell.ell2cart(b2, l2)))
|
||||
|
||||
beta_rad = wu.deg2rad(float(beta11))
|
||||
lamb_rad = wu.deg2rad(float(lamb11))
|
||||
alpha_rad = wu.deg2rad(float(a_deg))
|
||||
s_val = float(s)
|
||||
alpha_1, alpha_2, s12, beta_arr, lamb_arr = gha2_num(ell, b1, l1, b2, l2)
|
||||
|
||||
p1 = tuple(map(float, ell.ell2cart(beta_rad, lamb_rad)))
|
||||
out1 = []
|
||||
# Polyline der Geodäte: [[x,y,z], ...]
|
||||
polyline = []
|
||||
for b_rad, l_rad in zip(beta_arr, lamb_arr):
|
||||
x, y, z = ell.ell2cart(b_rad, l_rad)
|
||||
polyline.append([float(x), float(y), float(z)])
|
||||
|
||||
if "analytisch" in method1:
|
||||
# ana
|
||||
x2, y2, z2 = gha1_ana(ell, p1, alpha_rad, s_val, 70)
|
||||
p2_ana = (float(x2), float(y2), float(z2))
|
||||
beta2, lamb2 = ell.cart2ell([x2, y2, z2])
|
||||
|
||||
#out1 += f"kartesisch: x₂={p2[0]:.5f} m, y₂={p2[1]:.5f} m, z₂={p2[2]:.5f} m; ellipsoidisch: {aus.gms("β₂", beta2, 5)}, {aus.gms("λ₂", lamb2, 5)},"
|
||||
out1.append(
|
||||
html.Div([
|
||||
html.Strong("Analytisch: "),
|
||||
html.Br(),
|
||||
html.Span(f"kartesisch: x₂={x2:.4f} m, y₂={y2:.4f} m, z₂={z2:.4f} m"),
|
||||
html.Br(),
|
||||
html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2, 4)}, {aus.gms('λ₂', lamb2, 4)}")
|
||||
])
|
||||
)
|
||||
|
||||
if "numerisch" in method1:
|
||||
# num
|
||||
x1, y1, z1, werte = gha1_num(ell, p1, alpha_rad, s_val, 10000)
|
||||
p2_num = x1, y1, z1
|
||||
beta2_num, lamb2_num = ell.cart2ell(p2_num)
|
||||
|
||||
out1.append(
|
||||
html.Div([
|
||||
html.Strong("Numerisch: "),
|
||||
html.Br(),
|
||||
html.Span(f"kartesisch: x₂={p2_num[0]:.4f} m, y₂={p2_num[1]:.4f} m, z₂={p2_num[2]:.4f} m"),
|
||||
html.Br(),
|
||||
html.Span(f"ellipsoidisch: {aus.gms('β₂', beta2_num, 4)}, {aus.gms('λ₂', lamb2_num, 4)}")
|
||||
])
|
||||
)
|
||||
|
||||
geo_line_num1 = []
|
||||
for x1, _, y1, _, z1, _ in werte:
|
||||
geo_line_num1.append([x1, y1, z1])
|
||||
|
||||
|
||||
if "stochastisch" in method1:
|
||||
# stoch
|
||||
p2_stoch = "noch nicht implementiert.."
|
||||
|
||||
out1.append(
|
||||
html.Div([
|
||||
html.Strong("Stochastisch (ES): "),
|
||||
html.Span(f"{p2_stoch}")
|
||||
])
|
||||
)
|
||||
|
||||
if not method1:
|
||||
return html.Span("Bitte Berechnungsverfahren auswählen!", style={"color": "red"}), "", go.Figure()
|
||||
|
||||
fig = ellipsoid_figure(ell, title="Erste Hauptaufgabe - analystisch")
|
||||
#fig = figure_constant_lines(fig, ell, "geod")
|
||||
fig = figure_constant_lines(fig, ell, "ell")
|
||||
#fig = figure_constant_lines(fig, ell, "para")
|
||||
if "analytisch" in method1:
|
||||
fig = figure_points(fig, [("P1", p1, "black"), ("P2", p2_ana, "red")])
|
||||
if "numerisch" in method1:
|
||||
fig = figure_lines(fig, geo_line_num1, "#ff8c00")
|
||||
|
||||
#out1 = f"kartesisch: x₂={p2[0]:.5f} m, y₂={p2[1]:.5f} m, z₂={p2[2]:.5f} m; ellipsoidisch: {aus.gms("β₂", beta2, 5)}, {aus.gms("λ₂", lamb2, 5)}, {p2_num}"
|
||||
return out1, "", fig
|
||||
|
||||
if dash.ctx.triggered_id == "button-calc-gha2":
|
||||
if None in (beta21, lamb21, beta22, lamb22):
|
||||
return html.Span("Bitte β₁, λ₁, β₂, λ₂ eingeben.", style={"color": "red"}), "", go.Figure()
|
||||
|
||||
p1 = tuple(ell.ell2cart(np.deg2rad(float(beta21)), np.deg2rad(float(lamb21))))
|
||||
p2 = tuple(ell.ell2cart(np.deg2rad(float(beta22)), np.deg2rad(float(lamb22))))
|
||||
|
||||
out2 = []
|
||||
|
||||
if "numerisch" in method2:
|
||||
alpha_1, alpha_2, s12, beta_arr, lamb_arr = gha2_num(
|
||||
ell,
|
||||
np.deg2rad(float(beta21)), np.deg2rad(float(lamb21)),
|
||||
np.deg2rad(float(beta22)), np.deg2rad(float(lamb22))
|
||||
)
|
||||
geo_line_num = []
|
||||
for beta, lamb in zip(beta_arr, lamb_arr):
|
||||
point = ell.ell2cart(beta, lamb)
|
||||
geo_line_num.append(point)
|
||||
|
||||
|
||||
|
||||
out2.append(
|
||||
html.Div([
|
||||
html.Strong("Numerisch: "),
|
||||
out = html.Div([
|
||||
html.Strong("Zweite Hauptaufgabe – Numerisch: "),
|
||||
html.Span(f"{aus.gms('α₁₂', alpha_1, 4)}, {aus.gms('α₂₁', alpha_2, 4)}, s = {s12:.4f} m"),
|
||||
])
|
||||
)
|
||||
|
||||
store = {
|
||||
"points": [("P1", p1, "black"), ("P2", p2, "#1f77b4")],
|
||||
"polyline": polyline,
|
||||
"color": "#1f77b4",
|
||||
}
|
||||
return out, store
|
||||
|
||||
if "stochastisch" in method2:
|
||||
# stoch
|
||||
a_stoch = "noch nicht implementiert.."
|
||||
# @app.callback(
|
||||
# Output("output-gha2-stoch", "children"),
|
||||
# Output("store-gha2-stoch", "data"),
|
||||
# Input("button-calc-gha2", "n_clicks"),
|
||||
# State("input-GHA2-beta1", "value"),
|
||||
# State("input-GHA2-lamb1", "value"),
|
||||
# State("input-GHA2-beta2", "value"),
|
||||
# State("input-GHA2-lamb2", "value"),
|
||||
# State("input-ax", "value"),
|
||||
# State("input-ay", "value"),
|
||||
# State("input-b", "value"),
|
||||
# State("method-checklist-2", "value"),
|
||||
# prevent_initial_call=True,
|
||||
# )
|
||||
# def compute_gha2_stoch(n2, beta1, lamb1, beta2, lamb2, ax, ay, b, method2):
|
||||
# if not n2:
|
||||
# return no_update, no_update
|
||||
# if "numerisch" not in (method2 or []):
|
||||
# return no_update, no_update
|
||||
#
|
||||
# out = html.Div([
|
||||
# html.Strong("Zweite Hauptaufgabe – Stochastisch (ES): "),
|
||||
# html.Span("noch nicht implementiert...")
|
||||
# ])
|
||||
#
|
||||
# return out, {"points": None, "polyline": None, "color": "#9467bd"}
|
||||
|
||||
out2.append(
|
||||
html.Div([
|
||||
html.Strong("Stochastisch (ES): "),
|
||||
html.Span(f"{a_stoch}")
|
||||
])
|
||||
)
|
||||
@app.callback(
|
||||
Output("ellipsoid-plot", "figure"),
|
||||
Input("input-ax", "value"),
|
||||
Input("input-ay", "value"),
|
||||
Input("input-b", "value"),
|
||||
Input("store-gha1-ana", "data"),
|
||||
Input("store-gha1-num", "data"),
|
||||
Input("store-gha2-num", "data"),
|
||||
Input("store-gha2-stoch", "data"),
|
||||
)
|
||||
def render_all(ax, ay, b, store_gha1_ana, store_gha1_num, store_gha2_num, store_gha2_stoch):
|
||||
if None in (ax, ay, b):
|
||||
return go.Figure()
|
||||
|
||||
if not method2:
|
||||
return html.Span("Bitte Berechnungsverfahren auswählen!", style={"color": "red"}), "", go.Figure()
|
||||
|
||||
fig = ellipsoid_figure(ell, title="Zweite Hauptaufgabe")
|
||||
ell = EllipsoidTriaxial(ax, ay, b)
|
||||
fig = ellipsoid_figure(ell, title="")
|
||||
fig = figure_constant_lines(fig, ell, "ell")
|
||||
if "numerisch" in method2:
|
||||
fig = figure_lines(fig, geo_line_num, "#ff8c00")
|
||||
fig = figure_points(fig, [("P1", p1, "black"), ("P2", p2, "red")])
|
||||
|
||||
def add_from_store(store):
|
||||
if not store:
|
||||
return
|
||||
pts = store.get("points")
|
||||
if pts:
|
||||
fig = figure_points(fig, pts)
|
||||
line = store.get("polyline")
|
||||
if line:
|
||||
fig = figure_lines(fig, line, store.get("color", "#ff8c00"))
|
||||
return fig
|
||||
|
||||
for st in (store_gha1_ana, store_gha1_num, store_gha2_num, store_gha2_stoch):
|
||||
res = add_from_store(st)
|
||||
if res is not None:
|
||||
fig = res
|
||||
|
||||
return "", out2, fig
|
||||
return fig
|
||||
|
||||
return no_update, no_update, no_update
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
Reference in New Issue
Block a user