File size: 9,724 Bytes
aa651cf
 
 
8ad27c3
aa651cf
 
 
c67ece1
aa651cf
8ad27c3
aa651cf
8ad27c3
 
aa651cf
 
 
 
 
 
8ad27c3
aa651cf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fa674bb
 
 
 
aa651cf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3dc2c17
aa651cf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
689f768
aa651cf
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
import math
import numpy as np
import plotly.graph_objects as go
from pathlib import Path
from plotly.colors import sequential
from stl.mesh import Mesh

from .extrema import find_extrema

proj_dir = Path(__file__).parents[1]

# Taken from https://community.plotly.com/t/view-3d-cad-data/16920/9
stl_meshes = {disc.stem: Mesh.from_file(disc) for disc in (proj_dir / 'shotshaper' / 'discs').glob('*.stl')}


def visualize_disc(stl_mesh, nose, roll):
    """
    Taken from https://community.plotly.com/t/view-3d-cad-data/16920/9
    """
    stl_mesh.rotate([1, 0, 0], math.radians(-1 * nose))
    stl_mesh.rotate([0, 1, 0], math.radians(roll))
    # stl_mesh.rotate([0, 0, 1], math.radians(z_angle))

    p, q, r = stl_mesh.vectors.shape  # (p, 3, 3)
    # the array stl_mesh.vectors.reshape(p*q, r) can contain multiple copies of the same vertex;
    # extract unique vertices from all mesh triangles
    vertices, ixr = np.unique(stl_mesh.vectors.reshape(p * q, r), return_inverse=True, axis=0)
    I = np.take(ixr, [3 * k for k in range(p)])
    J = np.take(ixr, [3 * k + 1 for k in range(p)])
    K = np.take(ixr, [3 * k + 2 for k in range(p)])

    x, y, z = vertices.T
    trace = go.Mesh3d(x=x, y=y, z=z, i=I, j=J, k=K)
    # optional parameters to make it look nicer
    trace.update(flatshading=True, lighting_facenormalsepsilon=0, lighting_ambient=0.7)

    fig = go.Figure(trace)

    # Add camera controls to the plot
    camera = dict(
            eye=dict(x=0, y=-3, z=0)
            )
    fig.update_layout(scene_camera=camera)

    fig.update_layout(
            scene=dict(
                    dragmode=False,
                    xaxis=dict(nticks=4, range=[-0.11, 0.11], ),
                    yaxis=dict(nticks=4, range=[-0.11, 0.11], ),
                    zaxis=dict(nticks=4, range=[-0.11, 0.11], ), )
            )
    return fig


import plotly.subplots as sp


def get_plot(x, y, z):
    xm = np.min(x) - 1.5
    xM = np.max(x) + 1.5
    ym = -5
    yM = np.max(y) + 1.5
    zm = np.min(z)
    zM = np.max(z)
    N = len(x)
    category = 'Height'
    x_extrema, y_extrema, extrema_type = find_extrema(x, y)

    xM_abs = max(abs(xm), abs(xM))
    xm_abs = -1 * xM_abs

    carats_v = go.Scatter(
            x=[category, category],
            y=[min(z), max(z)],
            mode='markers',
            showlegend=False,
            marker=dict(symbol=['arrow-up', 'arrow-down'], size=20, color=['red', 'red']),
            name='Carets',
            )
    carats_h = go.Scatter(
            x=[min(x), max(x)],
            y=['', ''],
            mode='markers',
            showlegend=False,
            marker=dict(symbol=['arrow-right', 'arrow-left'], size=20, color=['red', 'red']),
            name='Carets',
            )

    extrema = go.Scatter(
            x=x_extrema,
            y=y_extrema,
            mode='markers',
            showlegend=False,
            marker=dict(symbol=extrema_type, size=20, color='blue'),
            name='Extrema',
            )

    # Create figure with subplots
    fig = sp.make_subplots(rows=2, cols=2, subplot_titles=("Flight Path", "Height (over time)", "Lateral Deviance (left and right motion)"),
                           specs=[[{"rowspan": 2}, {}], [None, {}]], row_heights=[0.5, 0.5])

    # Add traces to the main plot
    fig.add_trace(
            go.Scatter(x=x, y=y,
                       mode="lines",
                       showlegend=False,
                       line=dict(width=1, color='black')),
            row=1, col=1
            )

    fig.add_trace(
            go.Scatter(x=x, y=y,
                       showlegend=False,
                       mode="markers", marker_colorscale=sequential.Peach,
                       marker=dict(color=z, size=3, showscale=True)),
            row=1, col=1
            )

    fig.add_trace(
            extrema,
            row=1, col=1
            )

    # Add trace for the subplot
    fig.add_trace(carats_v,
                  row=1, col=2
                  )
    fig.add_trace(
            go.Bar(
                    x=[],
                    y=[],
                    showlegend=False,
                    ),
            row=1, col=2
            )
    # Add trace for the subplot
    fig.add_trace(carats_h,
                  row=2, col=2
                  )
    fig.add_trace(
            go.Bar(
                    x=[],
                    y=[],
                    showlegend=False,
                    orientation='h',
                    ),
            row=2, col=2
            )

    # Update layout
    fig.update_layout(
            xaxis=dict(range=[xm, xM], autorange=False, zeroline=False),
            yaxis=dict(range=[ym, yM], autorange=False, zeroline=False),
            title_text="Flight Path",
            hovermode="closest",
            updatemenus=[
                dict(
                        type="buttons",
                        buttons=[
                            dict(
                                    label="Play",
                                    method="animate",
                                    args=[None, {"frame": {"duration": 30, "redraw": True}, "fromcurrent": True}]
                                    ),
                            dict(
                                    label="Pause",
                                    method="animate",
                                    args=[[None], {"frame": {"duration": 0, "redraw": False}, "mode": "immediate",
                                                   "transition": {"duration": 0}}]
                                    )
                            ],
                        showactive=False,
                        x=0.05,
                        y=0.05
                        )
                ],
            )

    # Create frames for the main plot and subplot
    all_frames = [
        go.Frame(data=[
            go.Scatter(
                    x=[x[k]],
                    y=[y[k]],
                    mode="markers",
                    showlegend=False,
                    marker=dict(color="red", size=10)),
            go.Scatter(x=x, y=y,
                       mode="markers", marker_colorscale=sequential.Peach,
                       marker=dict(color=z, size=3, showscale=True)),
            extrema,
            carats_v,
            go.Bar(
                    x=['Height'],
                    y=[z[k]],
                    showlegend=False,
                    name='Value',
                    marker=dict(color='orange', line=dict(width=1))
                    # Set color of value bar to orange and line width to 1
                    ),
            carats_h,
            go.Bar(
                    x=[x[k]],
                    y=[''],
                    showlegend=False,
                    name='Value',
                    orientation='h',
                    marker=dict(color='orange', line=dict(width=1))
                    # Set color of value bar to orange and line width to 1
                    )
            ])
        for k in range(N)
        ]

    # Combine frames for the main plot and subplot
    fig.frames = all_frames
    fig.update_yaxes(scaleanchor="x", scaleratio=1, row=1, col=1)
    fig.update_yaxes(range=[zm - 2, zM + 2], fixedrange=True, row=1, col=2)
    fig.update_xaxes(range=[xm_abs, xM_abs], fixedrange=True, row=2, col=2)

    # # Add green rectangle at the bottom of the plot
    fig.update_layout(
            shapes=[dict(type="rect", xref="x", yref="y",
                         x0=-1, y0=0, x1=1, y1=-4, fillcolor="gray",
                         opacity=1, layer="below")],
            plot_bgcolor="green",
            )

    return fig


import plotly.graph_objs as go
from plotly.subplots import make_subplots


def get_subplots(arc, alphas, lifts, drags, moms, rolls, velocity):
    fig = make_subplots(rows=2, cols=3, specs=[[{}, {}, {}], [{}, {}, {}]],
                        subplot_titles=("Lift force (N)", "Drag force (N)", "Moment (Nm)",
                                        "Angle of attack (deg)", "Velocities (m/s)", "Roll rate (rad/s)"),
                        shared_xaxes=True)

    fig.add_trace(go.Scatter(x=arc, y=lifts, name="Lift force (N)"), row=1, col=1)
    fig.update_xaxes(title_text="Distance (m)", row=1, col=1)
    fig.update_yaxes(title_text="Lift force (N)", row=1, col=1)

    fig.add_trace(go.Scatter(x=arc, y=drags, name="Drag force (N)"), row=1, col=2)
    fig.update_xaxes(title_text="Distance (m)", row=1, col=2)
    fig.update_yaxes(title_text="Drag force (N)", row=1, col=2)

    fig.add_trace(go.Scatter(x=arc, y=moms, name="Moment (Nm)"), row=1, col=3)
    fig.update_xaxes(title_text="Distance (m)", row=1, col=3)
    fig.update_yaxes(title_text="Moment (Nm)", row=1, col=3)

    fig.add_trace(go.Scatter(x=arc, y=alphas, name="Angle of attack (deg)"), row=2, col=1)
    fig.update_xaxes(title_text="Distance (m)", row=2, col=1)
    fig.update_yaxes(title_text="Angle of attack (deg)", row=2, col=1)

    fig.add_trace(go.Scatter(x=arc, y=velocity[0, :], name="u"), row=2, col=2)
    fig.add_trace(go.Scatter(x=arc, y=velocity[1, :], name="v"), row=2, col=2)
    fig.add_trace(go.Scatter(x=arc, y=velocity[2, :], name="w"), row=2, col=2)
    fig.update_xaxes(title_text="Distance (m)", row=2, col=2)
    fig.update_yaxes(title_text="Velocities (m/s)", row=2, col=2)
    fig.update_traces(mode='lines', row=2, col=2)

    fig.add_trace(go.Scatter(x=arc, y=rolls, name="Roll rate (rad/s)"), row=2, col=3)
    fig.update_xaxes(title_text="Distance (m)", row=2, col=3)
    fig.update_yaxes(title_text="Roll rate (rad/s)", row=2, col=3)

    fig.update_layout(height=600, width=1000, title_text="Analysis Subplots", hovermode='x')
    return fig