1324 lines
42 KiB
Python
1324 lines
42 KiB
Python
from dash import Dash, dash, html, dcc, Input, Output, State, no_update, ctx
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import plotly.graph_objects as go
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import numpy as np
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import dash_bootstrap_components as dbc
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import builtins
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from dash.exceptions import PreventUpdate
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import traceback
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import webbrowser
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from threading import Timer
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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.utils import alpha_ell2para, alpha_para2ell
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from GHA_triaxial.gha1_ana import gha1_ana
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from GHA_triaxial.gha1_num import gha1_num
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from GHA_triaxial.gha1_ES import gha1_ES
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from GHA_triaxial.gha1_approx import gha1_approx
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from GHA_triaxial.gha2_num import gha2_num
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from GHA_triaxial.gha2_ES import gha2_ES
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from GHA_triaxial.gha2_approx import gha2_approx
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# Prints von importierten Funktionen unterdücken
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def _no_print(*args, **kwargs):
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pass
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#builtins.print = _no_print
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# Bootstrap (CSS) einbindung
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app = Dash(__name__, suppress_callback_exceptions=True, external_stylesheets=[dbc.themes.BOOTSTRAP])
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# App-Name im Tab
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app.title = "Geodätische Hauptaufgaben"
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# Erzeugen der Eingabefelder
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def inputfeld(left_text, input_id, right_text="", width=200, min=None, max=None):
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return html.Div(
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children=[
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html.Span(f"{left_text} =", style={"minWidth": 36, "textAlign": "right", "marginRight": 5}),
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dcc.Input(
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id=input_id,
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type="number",
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placeholder=f"{left_text}...[{right_text}]",
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min=min,
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max=max,
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style={"width": width, "display": "block"},
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persistence=True,
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persistence_type="memory", # oder "session"/"local"
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),
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html.Span(right_text, style={"marginLeft": 5}) if right_text else html.Span()
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],
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style={"display": "flex", "alignItems": "center", "marginBottom": "10px"},
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)
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# Erzeugen der Checklisten inkl. Eingabefelder
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def method_row(label, cb_id, input_id=None, value="", info="", input_id2=None, value2="", info2="",):
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base_row_style = {
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"display": "flex",
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"alignItems": "center",
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"gap": "4px",
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"marginLeft": "10px",
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"marginBottom": "6px",
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}
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checkbox = dcc.Checklist(
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id=cb_id,
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options=[{"label": "", "value": "on"}],
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value=[],
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style={"margin": "0"},
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persistence=True,
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persistence_type="memory",
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)
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label_span = html.Span(
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label,
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style={"marginLeft": "4px", "minWidth": "130px"},
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)
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if not info and not info2 and not input_id and not input_id2:
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return html.Div([checkbox, label_span], style=base_row_style)
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def _input_box(_id, _value, width_px):
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return dcc.Input(
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id=_id,
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type="number",
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value=_value,
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style={"width": f"{width_px}px", "marginLeft": "2px"},
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disabled=True,
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persistence=True,
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persistence_type="memory",
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)
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use_two_inputs = bool(input_id2)
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if use_two_inputs:
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w = 45
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input_box_1 = _input_box(input_id, value, w)
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input_box_2 = _input_box(input_id2, value2, w)
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else:
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w = 96
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input_box_1 = _input_box(input_id, value, w)
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input_box_2 = None
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info_parts = [s for s in (info, info2) if s]
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info_text = html.Span(
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" | ".join(info_parts),
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style={
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"marginLeft": "6px",
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"fontSize": "12px",
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"color": "#6c757d",
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"lineHeight": "1.1",
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"whiteSpace": "nowrap",
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},
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) if info_parts else None
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children = [checkbox, label_span, input_box_1]
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if input_box_2 is not None:
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children.append(input_box_2)
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if info_text is not None:
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children.append(info_text)
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return html.Div(children, style=base_row_style)
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def method_failed(method_label: str, exc: Exception):
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return html.Div([
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html.Strong(f"{method_label}: "),
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html.Span("konnte nicht berechnet werden. ", style={"color": "red"}),
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#html.Span(f"({type(exc).__name__}: {exc})", style={"color": "#b02a37"}),
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html.Details([
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html.Summary("Details"),
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html.Pre(traceback.format_exc(), style={
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"whiteSpace": "pre-wrap",
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"fontSize": "12px",
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"color": "#6c757d",
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"marginTop": "6px"
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})
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], style={"marginTop": "6px"})
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])
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def axes_valid(ax, ay, b) -> bool:
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if ax is None or ay is None or b is None:
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return False
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try:
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ax = float(ax); ay = float(ay); b = float(b)
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except (TypeError, ValueError):
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return False
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if ax <= 0 or ay <= 0 or b <= 0:
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return False
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return ax >= ay >= b
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def ellipsoid_figure(ell: EllipsoidTriaxial, title="Dreiachsiges Ellipsoid"):
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fig = go.Figure()
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# Darstellung
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rx, ry, rz = 1.01*ell.ax, 1.01*ell.ay, 1.01*ell.b
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fig.update_layout(
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title=title,
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scene=dict(
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xaxis=dict(
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range=[-rx, rx],
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#title="X [m]",
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title="",
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showgrid=False,
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zeroline=False,
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showbackground=False,
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showticklabels=False
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),
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yaxis=dict(
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range=[-ry, ry],
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#title="Y [m]",
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title="",
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showgrid=False,
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zeroline=False,
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showbackground=False,
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showticklabels=False
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),
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zaxis=dict(
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range=[-rz, rz],
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#title="Z [m]",
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title="",
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showgrid=False,
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zeroline=False,
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showbackground=False,
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showticklabels=False
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),
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aspectmode="data",
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),
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margin=dict(l=0, r=0, t=0, b=0),
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scene_camera=dict(eye=dict(x=1.05, y=1.05, z=0.85)),
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)
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# Ellipsoid
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u = np.linspace(-np.pi/2, np.pi/2, 80)
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v = np.linspace(-np.pi, np.pi, 160)
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U, V = np.meshgrid(u, v)
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X, Y, Z = ell.para2cart(U, V)
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fig.add_trace(go.Surface(
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x=X, y=Y, z=Z, showscale=False, opacity=0.7,
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surfacecolor=np.zeros_like(X),
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colorscale=[[0, "rgb(200,220,255)"], [1, "rgb(200,220,255)"]],
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name="Ellipsoid"
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))
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return fig
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def figure_constant_lines(fig, ell: EllipsoidTriaxial, coordsystem: str = "para"):
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if coordsystem == "para":
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constants_u = wu.deg2rad(np.arange(-90, 91, 15))
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all_v = wu.deg2rad(np.arange(-180, 180, 1))
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for u in constants_u:
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xm, ym, zm = ell.para2cart(u, all_v)
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fig.add_trace(go.Scatter3d(
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x=xm, y=ym, z=zm, mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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all_u = wu.deg2rad(np.arange(-90, 91, 1))
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constants_v = wu.deg2rad(np.arange(-180, 180, 15))
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for v in constants_v:
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x, y, z = ell.para2cart(all_u, v)
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fig.add_trace(go.Scatter3d(
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x=x, y=y, z=z, mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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elif coordsystem == "ell":
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constants_beta = wu.deg2rad(np.arange(-90, 91, 15))
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all_lamb = wu.deg2rad(np.arange(-180, 180, 1))
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for beta in constants_beta:
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xyz = ell.ell2cart(beta, all_lamb)
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fig.add_trace(go.Scatter3d(
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x=xyz[:, 0], y=xyz[:, 1], z=xyz[:, 2], mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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all_beta = wu.deg2rad(np.arange(-90, 91, 1))
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all_beta[0] += 1e-8
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all_beta[-1] -= 1e-8
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constants_lamb = wu.deg2rad(np.arange(-180, 180, 15))
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for lamb in constants_lamb:
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if lamb != 0 and abs(lamb) != np.pi:
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xyz = ell.ell2cart(all_beta, lamb)
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fig.add_trace(go.Scatter3d(
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x=xyz[:, 0], y=xyz[:, 1], z=xyz[:, 2], mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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else:
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x, y, z = ell.para2cart(wu.deg2rad(np.arange(-90, 91, 1)), lamb)
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fig.add_trace(go.Scatter3d(
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x=x, y=y, z=z, mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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elif coordsystem == "geod":
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constants_phi = wu.deg2rad(np.arange(-90, 91, 15))
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all_lamb = wu.deg2rad(np.arange(-180, 180, 1))
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for phi in constants_phi:
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x, y, z = ell.geod2cart(phi, all_lamb, 0)
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fig.add_trace(go.Scatter3d(
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x=x, y=y, z=z, mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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all_phi = wu.deg2rad(np.arange(-90, 91, 1))
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constants_lamb = wu.deg2rad(np.arange(-180, 180, 15))
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for lamb in constants_lamb:
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x, y, z = ell.geod2cart(all_phi, lamb, 0)
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fig.add_trace(go.Scatter3d(
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x=x, y=y, z=z, mode="lines",
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line=dict(width=1, color="black"),
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showlegend=False
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))
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return fig
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def figure_points(fig, points):
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"""
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:param fig: plotly.graph_objects.Figure
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:param points: Punktliste [(name, (x,y,z), color)]
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:return: plotly.graph_objects.Figure
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"""
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for name, (px, py, pz), color in points:
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fig.add_trace(go.Scatter3d(
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x=[px], y=[py], z=[pz],
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mode="markers+text",
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marker=dict(size=6, color=color),
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text=[name], textposition="top center",
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name=name, showlegend=False
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))
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return fig
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def figure_lines(fig, line, name, color):
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"""
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:param fig: plotly.graph_objects.Figure
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:param line: Punktliste [[x1,y1,z1], [x2,y2,z2]]
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:param name: Name
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:param color: Farbe
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:return: plotly.graph_objects.Figure
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"""
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points = np.array(line, dtype=float)
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fig.add_trace(go.Scatter3d(
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x=points[:, 0], y=points[:, 1], z=points[:, 2],
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mode="lines",
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line=dict(width=4, color=color),
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name=name, showlegend=False
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))
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return fig
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# HTML der beiden Tabs
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# Tab 1
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pane_gha1 = html.Div(
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[
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inputfeld("β₀", "input-GHA1-beta0", "°"),
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inputfeld("λ₀", "input-GHA1-lamb0", "°"),
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inputfeld("s", "input-GHA1-s", "m"),
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inputfeld("α₀", "input-GHA1-a", "°"),
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method_row("Analytisch", "cb-ana-1", "input-ana-1", "70", info="Ordnung", input_id2="input-ana-1-2", value2="4", info2="max. Unterteilung"),
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method_row("Numerisch", "cb-num-1", "input-num-n-1", "2000", info="Anzahl Schritte"),
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method_row("Stochastisch (ES)", "cb-stoch-1", "input-stoch-n-1", "1000", info="Länge Streckensegment [m]"),
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method_row("Approximiert", "cb-approx-1", "input-approx-ds-1", "1000", info="Länge Streckensegment [m]"),
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html.Div(
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[
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html.Button(
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"Berechnen",
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id="button-calc-gha1",
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n_clicks=0,
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className="btn btn-secondary btn-lg shadow",
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style={"marginRight": "10px", "marginLeft": "10px", "marginTop": "30px"},
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),
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],
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style={"marginBottom": "20px"},
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),
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html.Div(id="tabs-GHA1-out", style={"marginBottom": "10px"}),
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html.Div(id="gha1-header"),
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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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dcc.Loading(html.Div(id="output-gha1-approx")),
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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.Store(id="store-gha1-approx"),
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],
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id="pane-gha1",
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style={"display": "block"},
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)
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# Tab2
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pane_gha2 = html.Div(
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[
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inputfeld("β₀", "input-GHA2-beta0", "°"),
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inputfeld("λ₀", "input-GHA2-lamb0", "°"),
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inputfeld("β₁", "input-GHA2-beta1", "°"),
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inputfeld("λ₁", "input-GHA2-lamb1", "°"),
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method_row("Numerisch", "cb-num-2", "input-num-n-2", "2000", info="Anzahl Schritte"),
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method_row("Stochastisch", "cb-stoch-2", "input-stoch-n-2", "1000", info="Länge Streckensegment [m]"),
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method_row("Approximiert", "cb-approx-2", "input-approx-ds-2", "1000", info="Länge Streckensegment [m]"),
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html.Div(
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[
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html.Button(
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"Berechnen",
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id="button-calc-gha2",
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n_clicks=0,
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className="btn btn-secondary btn-lg shadow",
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style={"marginRight": "10px", "marginLeft": "10px", "marginTop": "30px"},
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),
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],
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style={"marginBottom": "20px"},
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),
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html.Div(id="tabs-GHA2-out", style={"marginBottom": "10px"}),
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html.Div(id="gha2-header"),
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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.Loading(html.Div(id="output-gha2-approx")),
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dcc.Store(id="store-gha2-num"),
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dcc.Store(id="store-gha2-stoch"),
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dcc.Store(id="store-gha2-approx"),
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],
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id="pane-gha2",
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style={"display": "none"},
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)
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# HTML-Gerüst
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app.layout = html.Div(
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style={"fontFamily": "Arial", "padding": "10px", "width": "95%", "margin": "0 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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html.Div(
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style={
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"display": "flex",
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"alignItems": "flex-start",
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"gap": "24px",
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"flexWrap": "nowrap"
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},
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children=[
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# Linker Bereich
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html.Div(
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style={"flex": "1 1 420px", "maxWidth": "640px"},
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children=[
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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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options=[
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{"label": "BursaFialova1993", "value": "BursaFialova1993"},
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{"label": "BursaSima1980", "value": "BursaSima1980"},
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{"label": "BursaSima1980round", "value": "BursaSima1980round"},
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{"label": "Eitschberger1978", "value": "Eitschberger1978"},
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{"label": "Bursa1972", "value": "Bursa1972"},
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{"label": "Bursa1970", "value": "Bursa1970"},
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{"label": "BesselBiaxial", "value": "BesselBiaxial"},
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{"label": "KarneyTest2024", "value": "KarneyTest2024"},
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{"label": "Fiction", "value": "Fiction"},
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],
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value="",
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style={"width": "300px", "marginBottom": "16px"},
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),
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html.P("Halbachsen:", style={"marginBottom": "10px"}),
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inputfeld("aₓ", "input-ax", "m"),
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inputfeld("aᵧ", "input-ay", "m"),
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inputfeld("b", "input-b", "m"),
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html.Div(id="axes-error", style={"marginLeft": "10px", "marginTop": "5px", "marginBottom": "10px"}),
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#html.Br(),
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dcc.Tabs(
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id="tabs-GHA",
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value="tab-GHA1",
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style={"margin": "20px 0 15px", "width": "100%"},
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children=[
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dcc.Tab(label="Erste Hauptaufgabe", value="tab-GHA1"),
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dcc.Tab(label="Zweite Hauptaufgabe", value="tab-GHA2"),
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],
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),
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|
|
html.Div([pane_gha1, pane_gha2], id="tabs-GHA-out", style={"marginBottom": "10px"}),
|
|
|
|
],
|
|
),
|
|
|
|
# Rechter Bereich
|
|
html.Div(
|
|
style={
|
|
"flex": "1 1 750px",
|
|
"minWidth": "520px",
|
|
"position": "sticky",
|
|
"top": "0",
|
|
"marginTop": "-50px",
|
|
},
|
|
children=[
|
|
html.Label("Koordinatenart wählen:", style={"marginLeft": "80px"},),
|
|
dcc.Dropdown(
|
|
id="dropdown-coors-type",
|
|
options=[
|
|
{"label": "Ellipsoidisch", "value": "ell"},
|
|
{"label": "Parametrisch", "value": "para"},
|
|
{"label": "Geodätisch", "value": "geod"},
|
|
|
|
],
|
|
value="ell",
|
|
clearable=False,
|
|
style={"width": "200px", "marginLeft": "80px"},
|
|
),
|
|
dcc.Graph(
|
|
id="ellipsoid-plot",
|
|
style={"height": "85vh", "width": "100%"},
|
|
config={"responsive": True}
|
|
)
|
|
],
|
|
),
|
|
],
|
|
),
|
|
dcc.Store(id="calc-token-gha1", data=0),
|
|
dcc.Store(id="calc-token-gha2", data=0),
|
|
|
|
#html.P("© 2026", style={"fontSize": "10px", "color": "gray", "textAlign": "center", "marginTop": "16px"}),
|
|
],
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
# Funktion zur Wahl der Halbachsen
|
|
@app.callback(
|
|
Output("input-ax", "value"),
|
|
Output("input-ay", "value"),
|
|
Output("input-b", "value"),
|
|
Input("dropdown-ellipsoid", "value"),
|
|
)
|
|
def fill_inputs_from_dropdown(selected_ell):
|
|
if not selected_ell:
|
|
return no_update, no_update, no_update
|
|
|
|
ell = EllipsoidTriaxial.init_name(selected_ell)
|
|
return ell.ax, ell.ay, ell.b
|
|
|
|
# Funktion zur Generierung der Tab-Inhalte
|
|
@app.callback(
|
|
Output("pane-gha1", "style"),
|
|
Output("pane-gha2", "style"),
|
|
Input("tabs-GHA", "value"),
|
|
)
|
|
def switch_tabs(tab):
|
|
show1 = {"display": "block"} if tab == "tab-GHA1" else {"display": "none"}
|
|
show2 = {"display": "block"} if tab == "tab-GHA2" else {"display": "none"}
|
|
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-ana-1-2", "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"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
@app.callback(
|
|
Output("input-stoch-n-1", "disabled"),
|
|
Input("cb-stoch-1", "value"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
@app.callback(
|
|
Output("input-approx-ds-1", "disabled"),
|
|
Input("cb-approx-1", "value"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
|
|
@app.callback(
|
|
Output("input-num-n-2", "disabled"),
|
|
Input("cb-num-2", "value"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
@app.callback(
|
|
Output("input-stoch-n-2", "disabled"),
|
|
Input("cb-stoch-2", "value"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
@app.callback(
|
|
Output("input-approx-ds-2", "disabled"),
|
|
Input("cb-approx-2", "value"),
|
|
)
|
|
def toggle_ds(v):
|
|
return "on" not in (v or [])
|
|
|
|
|
|
|
|
# Abfrage ob Berechnungsverfahren gewählt
|
|
@app.callback(
|
|
Output("tabs-GHA1-out", "children"),
|
|
Input("button-calc-gha1", "n_clicks"),
|
|
State("cb-ana-1", "value"),
|
|
State("cb-num-1", "value"),
|
|
State("cb-stoch-1", "value"),
|
|
State("cb-approx-1", "value"),
|
|
# Eingaben GHA1
|
|
State("input-GHA1-beta0", "value"),
|
|
State("input-GHA1-lamb0", "value"),
|
|
State("input-GHA1-s", "value"),
|
|
State("input-GHA1-a", "value"),
|
|
# Halbachsen
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def gha1_method_hint(n, a, nu, st, ap, beta0, lamb0, s, a0, ax, ay, b):
|
|
# Ellipsoid
|
|
if ax is None or ay is None or b is None:
|
|
return html.Span("Bitte Ellipsoid wählen bzw. Halbachsen eingeben.", style={"color": "red"})
|
|
|
|
# Halbachsen
|
|
try:
|
|
ax_f, ay_f, b_f = float(ax), float(ay), float(b)
|
|
except (TypeError, ValueError):
|
|
return html.Span("Bitte gültige Zahlen für aₓ, aᵧ und b eingeben.", style={"color": "red"})
|
|
|
|
if ax_f <= 0 or ay_f <= 0 or b_f <= 0:
|
|
return html.Span("Halbachsen müssen > 0 sein.", style={"color": "red"})
|
|
|
|
if not (ax_f >= ay_f >= b_f):
|
|
return html.Span("Ungültige Halbachsen! (aₓ ≥ aᵧ ≥ b)", style={"color": "red"})
|
|
|
|
# GHA1-Eingabefelder prüfen
|
|
missing = []
|
|
if beta0 is None:
|
|
missing.append("β₀")
|
|
if lamb0 is None:
|
|
missing.append("λ₀")
|
|
if s is None:
|
|
missing.append("s")
|
|
if a0 is None:
|
|
missing.append("α₀")
|
|
|
|
if missing:
|
|
return html.Span(
|
|
"Bitte " + ", ".join(missing) + " eingeben.",
|
|
style={"color": "red"},
|
|
)
|
|
|
|
# Berechnungsverfahren
|
|
any_on = any("on" in (v or []) for v in (a, nu, st, ap))
|
|
if not any_on:
|
|
return html.Span("Bitte Berechnungsverfahren wählen.", style={"color": "red"})
|
|
|
|
# Eingaben Wertebereiche
|
|
try:
|
|
beta0_f = float(beta0)
|
|
lamb0_f = float(lamb0)
|
|
s_f = float(s)
|
|
a0_f = float(a0)
|
|
except (TypeError, ValueError):
|
|
return html.Span("Bitte gültige Zahlen für β₀, λ₀, s und α₀ eingeben.", style={"color": "red"})
|
|
|
|
if not (-90 <= beta0_f <= 90):
|
|
return html.Span("β₀ muss im Bereich [-90°, 90°] liegen.", style={"color": "red"})
|
|
if not (-180 <= lamb0_f <= 180):
|
|
return html.Span("λ₀ muss im Bereich [-180°, 180°] liegen.", style={"color": "red"})
|
|
if s_f <= 0:
|
|
return html.Span("s muss > 0 sein.", style={"color": "red"})
|
|
if not (-180 <= lamb0_f <= 360):
|
|
return html.Span("α₀ muss im Bereich [-180°, 360°] liegen.", style={"color": "red"})
|
|
|
|
return ""
|
|
|
|
|
|
# -- GHA 1 ---
|
|
@app.callback(
|
|
Output("output-gha1-ana", "children"),
|
|
Output("store-gha1-ana", "data"),
|
|
Input("calc-token-gha1", "data"),
|
|
State("cb-ana-1", "value"),
|
|
State("input-ana-1", "value"),
|
|
State("input-ana-1-2", "value"),
|
|
State("input-GHA1-beta0", "value"),
|
|
State("input-GHA1-lamb0", "value"),
|
|
State("input-GHA1-s", "value"),
|
|
State("input-GHA1-a", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha1_ana(n1, cb_ana, max_M, maxPartCircum, beta0, lamb0, s, a0, ax, ay, b):
|
|
if not n1:
|
|
return no_update, no_update
|
|
if "on" not in (cb_ana or []):
|
|
return "", None
|
|
|
|
max_M = int(max_M) if max_M else 70
|
|
maxPartCircum = int(maxPartCircum) if maxPartCircum else 4
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
beta_rad = wu.deg2rad(float(beta0))
|
|
lamb_rad = wu.deg2rad(float(lamb0))
|
|
alpha_rad = wu.deg2rad(float(a0))
|
|
_, _, alpha_rad_para = alpha_ell2para(ell, beta_rad, lamb_rad, alpha_rad)
|
|
s_val = float(s)
|
|
|
|
P0 = ell.ell2cart(beta_rad, lamb_rad)
|
|
P1_ana, alpha2_para = gha1_ana(ell, P0, alpha_rad_para, s_val, max_M, maxPartCircum)
|
|
u1, v1 = ell.cart2para(P1_ana)
|
|
alpha2 = alpha_para2ell(ell, u1, v1, alpha2_para)
|
|
beta2_ana, lamb2_ana = ell.cart2ell(P1_ana)
|
|
|
|
out = html.Div([
|
|
html.Strong("Analytisch: "),
|
|
html.Br(),
|
|
html.Span(f"kartesisch: x₁={P1_ana[0]:.4f} m, y₁={P1_ana[1]:.4f} m, z₁={P1_ana[2]:.4f} m"),
|
|
html.Br(),
|
|
html.Span(f"ellipsoidisch: {aus.gms('β₁', beta2_ana, 4)}, {aus.gms('λ₁', lamb2_ana, 4)}"),
|
|
html.Br(),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1 (ana)", P1_ana, "red")],
|
|
"polyline": None,
|
|
"name": "Analytisch",
|
|
"color": "red"
|
|
}
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Analytisch", e), None
|
|
|
|
@app.callback(
|
|
Output("output-gha1-num", "children"),
|
|
Output("store-gha1-num", "data"),
|
|
Input("calc-token-gha1", "data"),
|
|
State("cb-num-1", "value"),
|
|
State("input-num-n-1", "value"),
|
|
State("input-GHA1-beta0", "value"),
|
|
State("input-GHA1-lamb0", "value"),
|
|
State("input-GHA1-s", "value"),
|
|
State("input-GHA1-a", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha1_num(n1, cb_num, n_in, beta0, lamb0, s, a0, ax, ay, b):
|
|
if not n1:
|
|
return no_update, no_update
|
|
if "on" not in (cb_num or []):
|
|
return "", None
|
|
|
|
n_in = int(n_in) if n_in else 2000
|
|
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
beta_rad = wu.deg2rad(float(beta0))
|
|
lamb_rad = wu.deg2rad(float(lamb0))
|
|
alpha_rad = wu.deg2rad(float(a0))
|
|
s_val = float(s)
|
|
|
|
try:
|
|
P0 = ell.ell2cart(beta_rad, lamb_rad)
|
|
|
|
P1_num, alpha1, werte = gha1_num(ell, P0, alpha_rad, s_val, n_in, all_points=True)
|
|
beta2_num, lamb2_num = ell.cart2ell(P1_num)
|
|
|
|
out = html.Div([
|
|
html.Strong("Numerisch: "),
|
|
html.Br(),
|
|
html.Span(f"kartesisch: x₁={P1_num[0]:.4f} m, y₁={P1_num[1]:.4f} m, z₁={P1_num[2]:.4f} m"),
|
|
html.Br(),
|
|
html.Span(f"ellipsoidisch: {aus.gms('β₁', beta2_num, 4)}, {aus.gms('λ₁', lamb2_num, 4)}"),
|
|
html.Br(),
|
|
])
|
|
|
|
polyline = [[x1, y1, z1] for x1, _, y1, _, z1, _ in werte]
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1 (num)", P1_num, "#ff8c00")],
|
|
"polyline": polyline,
|
|
"name": "Numerisch",
|
|
"color": "#ff8c00"
|
|
}
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Numerisch", e), None
|
|
|
|
@app.callback(
|
|
Output("output-gha1-stoch", "children"),
|
|
Output("store-gha1-stoch", "data"),
|
|
Input("calc-token-gha1", "data"),
|
|
State("cb-stoch-1", "value"),
|
|
State("input-stoch-n-1", "value"),
|
|
State("input-GHA1-beta0", "value"),
|
|
State("input-GHA1-lamb0", "value"),
|
|
State("input-GHA1-s", "value"),
|
|
State("input-GHA1-a", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha1_stoch(n1, cb_stoch, n_in, beta0, lamb0, s, a0, ax, ay, b):
|
|
if not n1:
|
|
return no_update, no_update
|
|
if "on" not in (cb_stoch or []):
|
|
return "", None
|
|
|
|
n_in = int(n_in) if n_in else 1000
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
beta_rad = wu.deg2rad(float(beta0))
|
|
lamb_rad = wu.deg2rad(float(lamb0))
|
|
alpha_rad = wu.deg2rad(float(a0))
|
|
s_val = float(s)
|
|
|
|
P1_stoch, alpha, points = gha1_ES(ell, beta0=beta_rad, omega0=lamb_rad, alpha0=alpha_rad, s_total=s_val, maxSegLen=n_in, all_points=True)
|
|
|
|
P0 = ell.ell2cart(beta_rad, lamb_rad)
|
|
beta1_stoch, lamb1_stoch = ell.cart2ell(P1_stoch)
|
|
|
|
out = html.Div([
|
|
html.Strong("Stochastisch: "),
|
|
html.Br(),
|
|
html.Span(f"kartesisch: x₁={P1_stoch[0]:.4f} m, y₁={P1_stoch[1]:.4f} m, z₁={P1_stoch[2]:.4f} m"),
|
|
html.Br(),
|
|
html.Span(f"ellipsoidisch: {aus.gms('β₁', beta1_stoch, 4)}, {aus.gms('λ₁', lamb1_stoch, 4)}"),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1 (ES)", P1_stoch, "#1fa342")],
|
|
"polyline": points,
|
|
"name": "Stochastisch (ES)",
|
|
"color": "#1fa342"
|
|
}
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Stochastisch (ES)", e), None
|
|
|
|
@app.callback(
|
|
Output("output-gha1-approx", "children"),
|
|
Output("store-gha1-approx", "data"),
|
|
Input("calc-token-gha1", "data"),
|
|
State("cb-approx-1", "value"),
|
|
State("input-approx-ds-1", "value"),
|
|
State("input-GHA1-beta0", "value"),
|
|
State("input-GHA1-lamb0", "value"),
|
|
State("input-GHA1-s", "value"),
|
|
State("input-GHA1-a", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha1_approx(n1, cb_approx, ds_in, beta0, lamb0, s, a0, ax, ay, b):
|
|
if not n1:
|
|
return no_update, no_update
|
|
if not n1 or "on" not in (cb_approx or []):
|
|
return "", None
|
|
|
|
ds_in = int(ds_in) if ds_in else 1000
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
beta_rad = wu.deg2rad(float(beta0))
|
|
lamb_rad = wu.deg2rad(float(lamb0))
|
|
alpha_rad = wu.deg2rad(float(a0))
|
|
s_val = float(s)
|
|
|
|
P0 = ell.ell2cart(beta_rad, lamb_rad)
|
|
P1_app, alpha1_app, points, alphas = gha1_approx(ell, P0, alpha_rad, s_val, ds=ds_in, all_points=True)
|
|
|
|
beta1_app, lamb1_app = ell.cart2ell(P1_app)
|
|
|
|
out = html.Div([
|
|
html.Strong("Approximiert: "),
|
|
html.Br(),
|
|
html.Span(f"kartesisch: x₁={P1_app[0]:.4f} m, y₁={P1_app[1]:.4f} m, z₁={P1_app[2]:.4f} m"),
|
|
html.Br(),
|
|
html.Span(f"ellipsoidisch: {aus.gms('β₁', beta1_app, 4)}, {aus.gms('λ₁', lamb1_app, 4)}"),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1 (approx)", P1_app, "#00c2fc")],
|
|
"polyline": points,
|
|
"name": "Approximiert",
|
|
"color": "#00c2fc"
|
|
}
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Approximiert", e), None
|
|
|
|
|
|
# --- GHA 2 ---
|
|
@app.callback(
|
|
Output("output-gha2-num", "children"),
|
|
Output("store-gha2-num", "data"),
|
|
Input("calc-token-gha2", "data"),
|
|
State("cb-num-2", "value"),
|
|
State("input-num-n-2", "value"),
|
|
State("input-GHA2-beta0", "value"),
|
|
State("input-GHA2-lamb0", "value"),
|
|
State("input-GHA2-beta1", "value"),
|
|
State("input-GHA2-lamb1", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha2_num(n2, cb_num, n_in, beta0, lamb0, beta1, lamb1, ax, ay, b):
|
|
if not n2:
|
|
return no_update, no_update
|
|
if "on" not in (cb_num or []):
|
|
return "", None
|
|
|
|
n_in = int(n_in) if n_in else 2000
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
|
|
beta0_rad = wu.deg2rad(float(beta0))
|
|
lamb0_rad = wu.deg2rad(float(lamb0))
|
|
beta1_rad = wu.deg2rad(float(beta1))
|
|
lamb1_rad = wu.deg2rad(float(lamb1))
|
|
|
|
P0 = ell.ell2cart(beta0_rad, lamb0_rad)
|
|
P1 = ell.ell2cart(beta1_rad, lamb1_rad)
|
|
|
|
a0_num, a1_num, s_num, beta_arr, lamb_arr = gha2_num(ell, beta0_rad, lamb0_rad, beta1_rad, lamb1_rad, all_points=True, n=n_in)
|
|
|
|
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)])
|
|
|
|
out = html.Div([
|
|
html.Strong("Numerisch: "),
|
|
html.Br(),
|
|
html.Span(f"{aus.gms('α₀', a0_num, 4)}, {aus.gms('α₁', a1_num, 4)}, s = {s_num:.4f} m"),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1", P1, "black")],
|
|
"polyline": polyline,
|
|
"name": "Numerisch",
|
|
"color": "#ff8c00",
|
|
}
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Numerisch", e), None
|
|
|
|
@app.callback(
|
|
Output("output-gha2-stoch", "children"),
|
|
Output("store-gha2-stoch", "data"),
|
|
Input("calc-token-gha2", "data"),
|
|
State("cb-stoch-2", "value"),
|
|
State("input-stoch-n-2", "value"),
|
|
State("input-GHA2-beta0", "value"),
|
|
State("input-GHA2-lamb0", "value"),
|
|
State("input-GHA2-beta1", "value"),
|
|
State("input-GHA2-lamb1", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha2_stoch(n2, cb_stoch, n_in, beta0, lamb0, beta1, lamb1, ax, ay, b):
|
|
if not n2:
|
|
return no_update, no_update
|
|
if "on" not in (cb_stoch or []):
|
|
return "", None
|
|
|
|
n_in = int(n_in) if n_in else 1000
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
|
|
beta0_rad = wu.deg2rad(float(beta0))
|
|
lamb0_rad = wu.deg2rad(float(lamb0))
|
|
beta1_rad = wu.deg2rad(float(beta1))
|
|
lamb1_rad = wu.deg2rad(float(lamb1))
|
|
|
|
P0 = ell.ell2cart(beta0_rad, lamb0_rad)
|
|
P1 = ell.ell2cart(beta1_rad, lamb1_rad)
|
|
|
|
a0_stoch, a1_stoch, s_stoch, points = gha2_ES(ell, P0, P1, maxSegLen=n_in, all_points=True)
|
|
|
|
out = html.Div([
|
|
html.Strong("Stochastisch (ES): "),
|
|
html.Br(),
|
|
html.Span(f"{aus.gms('α₀', a0_stoch, 4)}, {aus.gms('α₁', a1_stoch, 4)}, s = {s_stoch:.4f} m"),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1", P1, "black")],
|
|
"polyline": points,
|
|
"name": "Stochastisch (ES)",
|
|
"color": "#1fa342",
|
|
}
|
|
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Stochastisch (ES)", e), None
|
|
|
|
@app.callback(
|
|
Output("output-gha2-approx", "children"),
|
|
Output("store-gha2-approx", "data"),
|
|
Input("calc-token-gha2", "data"),
|
|
State("cb-approx-2", "value"),
|
|
State("input-approx-ds-2", "value"),
|
|
State("input-GHA2-beta0", "value"),
|
|
State("input-GHA2-lamb0", "value"),
|
|
State("input-GHA2-beta1", "value"),
|
|
State("input-GHA2-lamb1", "value"),
|
|
State("input-ax", "value"),
|
|
State("input-ay", "value"),
|
|
State("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def compute_gha2_approx(n2, cb_approx, ds_in, beta0, lamb0, beta1, lamb1, ax, ay, b):
|
|
if not n2:
|
|
return no_update, no_update
|
|
if "on" not in (cb_approx or []):
|
|
return "", None
|
|
|
|
ds_in = int(ds_in) if ds_in else 1000
|
|
|
|
try:
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
|
|
beta0_rad = wu.deg2rad(float(beta0))
|
|
lamb0_rad = wu.deg2rad(float(lamb0))
|
|
beta1_rad = wu.deg2rad(float(beta1))
|
|
lamb1_rad = wu.deg2rad(float(lamb1))
|
|
|
|
P0 = ell.ell2cart(beta0_rad, lamb0_rad)
|
|
P1 = ell.ell2cart(beta1_rad, lamb1_rad)
|
|
|
|
a0_app, a1_app, s_app, points = gha2_approx(ell, P0, P1, ds=ds_in, all_points=True)
|
|
|
|
out = html.Div([
|
|
html.Strong("Approximiert: "),
|
|
html.Br(),
|
|
html.Span(f"{aus.gms('α₀', a0_app, 4)}, {aus.gms('α₁', a1_app, 4)}, s = {s_app:.4f} m"),
|
|
])
|
|
|
|
store = {
|
|
"points": [("P0", P0, "black"), ("P1", P1, "black")],
|
|
"polyline": points,
|
|
"name": "Approximiert",
|
|
"color": "#00c2fc",
|
|
}
|
|
|
|
return out, store
|
|
|
|
except Exception as e:
|
|
return method_failed("Stochastisch (ES)", e), None
|
|
|
|
# --- Plot ---
|
|
@app.callback(
|
|
Output("ellipsoid-plot", "figure"),
|
|
Input("input-ax", "value"),
|
|
Input("input-ay", "value"),
|
|
Input("input-b", "value"),
|
|
Input("dropdown-coors-type", "value"),
|
|
Input("tabs-GHA", "value"),
|
|
Input("calc-token-gha1", "data"),
|
|
Input("calc-token-gha2", "data"),
|
|
Input("store-gha1-ana", "data"),
|
|
Input("store-gha1-num", "data"),
|
|
Input("store-gha1-stoch", "data"),
|
|
Input("store-gha1-approx", "data"),
|
|
Input("store-gha2-num", "data"),
|
|
Input("store-gha2-stoch", "data"),
|
|
Input("store-gha2-approx", "data"),
|
|
)
|
|
def render_all(ax, ay, b, coords_type, tab, t1, t2,
|
|
s1a, s1n, s1s, s1p, s2n, s2s, s2p):
|
|
|
|
if None in (ax, ay, b):
|
|
return go.Figure()
|
|
|
|
if not axes_valid(ax, ay, b):
|
|
return go.Figure()
|
|
|
|
ell = EllipsoidTriaxial(ax, ay, b)
|
|
|
|
fig = ellipsoid_figure(ell, title="")
|
|
fig = figure_constant_lines(fig, ell, coords_type)
|
|
|
|
if tab == "tab-GHA1":
|
|
stores = (s1a, s1n, s1s, s1p)
|
|
else:
|
|
stores = (s2n, s2s, s2p)
|
|
|
|
def add_method(store, fallback_name):
|
|
nonlocal fig
|
|
if not store:
|
|
return
|
|
|
|
name = store.get("name") or fallback_name
|
|
color = store.get("color", "#ff8c00")
|
|
group = name # legendgroup-ID
|
|
|
|
pts = store.get("points") or []
|
|
line = store.get("polyline")
|
|
|
|
if line:
|
|
arr = np.asarray(line, dtype=float)
|
|
fig.add_trace(go.Scatter3d(
|
|
x=arr[:, 0], y=arr[:, 1], z=arr[:, 2],
|
|
mode="lines",
|
|
line=dict(width=4, color=color),
|
|
name=name,
|
|
legendgroup=group,
|
|
showlegend=True,
|
|
))
|
|
else:
|
|
fig.add_trace(go.Scatter3d(
|
|
x=[None], y=[None], z=[None],
|
|
mode="markers",
|
|
marker=dict(size=8, color=color),
|
|
name=name,
|
|
legendgroup=group,
|
|
showlegend=True,
|
|
hoverinfo="skip",
|
|
))
|
|
|
|
for pname, (px, py, pz), pcolor in pts:
|
|
fig.add_trace(go.Scatter3d(
|
|
x=[px], y=[py], z=[pz],
|
|
mode="markers+text",
|
|
marker=dict(size=6, color=pcolor),
|
|
text=[pname],
|
|
textposition="top center",
|
|
name=pname,
|
|
showlegend=False,
|
|
legendgroup=group,
|
|
))
|
|
|
|
for i, st in enumerate(stores, start=1):
|
|
add_method(st, f"Methode {i}")
|
|
|
|
fig.update_layout(
|
|
showlegend=True,
|
|
legend=dict(
|
|
orientation="h",
|
|
yanchor="bottom",
|
|
y=1.02,
|
|
xanchor="left",
|
|
x=0.06,
|
|
groupclick="togglegroup",
|
|
itemclick="toggle",
|
|
itemdoubleclick="toggleothers",
|
|
),
|
|
)
|
|
return fig
|
|
|
|
|
|
# Funktion zum Leeren des Plots bei Änderung des Ellipsoids
|
|
@app.callback(
|
|
Output("store-gha1-ana", "data", allow_duplicate=True),
|
|
Output("store-gha1-num", "data", allow_duplicate=True),
|
|
Output("store-gha1-stoch", "data", allow_duplicate=True),
|
|
Output("store-gha1-approx", "data", allow_duplicate=True),
|
|
Output("store-gha2-num", "data", allow_duplicate=True),
|
|
Output("store-gha2-stoch", "data", allow_duplicate=True),
|
|
Output("store-gha2-approx", "data", allow_duplicate=True),
|
|
Input("input-ax", "value"),
|
|
Input("input-ay", "value"),
|
|
Input("input-b", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def clear_all_stores_on_ellipsoid_change(ax, ay, b):
|
|
if None in (ax, ay, b):
|
|
return (no_update,)*7
|
|
|
|
return (None, None, None, None, None, None, None)
|
|
|
|
|
|
# Funktionen zur separaten Darstellung der Tabs
|
|
@app.callback(
|
|
Output("calc-token-gha1", "data"),
|
|
Output("gha1-header", "children", allow_duplicate=True),
|
|
Output("output-gha1-ana", "children", allow_duplicate=True),
|
|
Output("output-gha1-num", "children", allow_duplicate=True),
|
|
Output("output-gha1-stoch", "children", allow_duplicate=True),
|
|
Output("output-gha1-approx", "children", allow_duplicate=True),
|
|
Output("store-gha1-ana", "data", allow_duplicate=True),
|
|
Output("store-gha1-num", "data", allow_duplicate=True),
|
|
Output("store-gha1-stoch", "data", allow_duplicate=True),
|
|
Output("store-gha1-approx", "data", allow_duplicate=True),
|
|
Input("button-calc-gha1", "n_clicks"),
|
|
State("calc-token-gha1", "data"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def start_calc_gha1(n, token):
|
|
if not n:
|
|
raise PreventUpdate
|
|
token = (token or 0) + 1
|
|
return token, "", "", "", "", "", None, None, None, None
|
|
|
|
@app.callback(
|
|
Output("calc-token-gha2", "data"),
|
|
Output("gha2-header", "children", allow_duplicate=True),
|
|
Output("output-gha2-num", "children", allow_duplicate=True),
|
|
Output("output-gha2-stoch", "children", allow_duplicate=True),
|
|
Output("output-gha2-approx", "children", allow_duplicate=True),
|
|
Output("store-gha2-num", "data", allow_duplicate=True),
|
|
Output("store-gha2-stoch", "data", allow_duplicate=True),
|
|
Output("store-gha2-approx", "data", allow_duplicate=True),
|
|
Input("button-calc-gha2", "n_clicks"),
|
|
State("calc-token-gha2", "data"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def start_calc_gha2(n, token):
|
|
if not n:
|
|
raise PreventUpdate
|
|
token = (token or 0) + 1
|
|
return token, "", "", "", "", None, None, None
|
|
|
|
|
|
|
|
# Funktionen zur Erzeugung der Überschriften
|
|
@app.callback(
|
|
Output("gha1-header", "children"),
|
|
Input("calc-token-gha1", "data"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def set_gha1_header(_):
|
|
return html.H4("Erste Hauptaufgabe")
|
|
|
|
@app.callback(
|
|
Output("gha2-header", "children"),
|
|
Input("calc-token-gha2", "data"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def set_gha2_header(_):
|
|
return html.H4("Zweite Hauptaufgabe")
|
|
|
|
# Funktion zur Überprüfung der Halbachsen
|
|
@app.callback(
|
|
Output("axes-error", "children"),
|
|
Output("button-calc-gha1", "disabled"),
|
|
Output("button-calc-gha2", "disabled"),
|
|
Input("input-ax", "value"),
|
|
Input("input-ay", "value"),
|
|
Input("input-b", "value"),
|
|
)
|
|
def validate_axes(ax, ay, b):
|
|
if ax is None or ay is None or b is None:
|
|
return "", True, True
|
|
|
|
try:
|
|
ax = float(ax)
|
|
ay = float(ay)
|
|
b = float(b)
|
|
except (TypeError, ValueError):
|
|
return html.Span("Bitte gültige Zahlen für aₓ, aᵧ und b eingeben.", style={"color": "red"}), True, True
|
|
|
|
if ax <= 0 or ay <= 0 or b <= 0:
|
|
return html.Span("Halbachsen müssen > 0 sein.", style={"color": "red"}), True, True
|
|
|
|
if not (ax >= ay >= b):
|
|
return html.Span("Ungültige Halbachsen! (aₓ ≥ aᵧ ≥ b)", style={"color": "red"}), True, True
|
|
|
|
return "", False, False
|
|
|
|
# Leeren des Dropdowns
|
|
@app.callback(
|
|
Output("dropdown-ellipsoid", "value"),
|
|
Input("input-ax", "value"),
|
|
Input("input-ay", "value"),
|
|
Input("input-b", "value"),
|
|
State("dropdown-ellipsoid", "value"),
|
|
prevent_initial_call=True,
|
|
)
|
|
def clear_dropdown_if_axes_changed(ax, ay, b, selected_ell):
|
|
if not selected_ell:
|
|
return no_update
|
|
|
|
if ax is None or ay is None or b is None:
|
|
return ""
|
|
|
|
try:
|
|
ax = float(ax); ay = float(ay); b = float(b)
|
|
ell = EllipsoidTriaxial.init_name(selected_ell)
|
|
same = (
|
|
np.isclose(ax, float(ell.ax), rtol=0, atol=1e-9) and
|
|
np.isclose(ay, float(ell.ay), rtol=0, atol=1e-9) and
|
|
np.isclose(b, float(ell.b), rtol=0, atol=1e-9)
|
|
)
|
|
except Exception:
|
|
return ""
|
|
|
|
return no_update if same else ""
|
|
|
|
|
|
if __name__ == "__main__":
|
|
# Automatisiertes Öffnen der Seite im Browser
|
|
HOST = "127.0.0.1"
|
|
PORT = 8050
|
|
#Timer(1.0, webbrowser.open_new_tab(f"http://{HOST}:{PORT}/")).start
|
|
|
|
app.run(host=HOST, port=PORT, debug=False)
|