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seats_draw.py
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seats_draw.py
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import numpy as np
def triple_economy_top_down(seat, canvas, canvas_type, top_down_datum, item_number=None):
width = float(seat.width)
width_inbd = float(seat.width_inbd)
length_fwd = float(seat.length_fwd)
length_aft = float(seat.length_aft)
armrest_width = float(seat.armrest_width)
x = float(top_down_datum[0])
y = float(top_down_datum[1])
x_coords = [x - length_fwd, x + length_aft, x + length_aft, x - length_fwd, x - length_fwd]
if seat.side == 'LHS':
y_top = y - width + width_inbd + armrest_width
y_btm = y_top + width - (armrest_width*2)
elif seat.side == 'RHS':
y_top = y + width - width_inbd - armrest_width
y_btm = y_top - width + (armrest_width*2)
y_coords = [y_top, y_top, y_btm, y_btm, y_top]
if canvas_type == 'matplotlib':
canvas.fill(x_coords, y_coords, color=seat.color, linewidth=1)
canvas.plot(x_coords, y_coords, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x_coords):
points.append((v, y_coords[index]))
canvas.add_lwpolyline(points)
if item_number:
if seat.side == 'LHS':
y = 10
else:
y = -10
canvas.add_text(item_number, dxfattribs={'height': 8}).set_pos((12.0,y), align='MIDDLE_CENTER')
canvas.add_circle((12, y), 7)
def economy_seat_generic_side_view(seat, canvas, canvas_type, side_datum):
l_fwd = float(seat.length_fwd)
l_aft = float(seat.length_aft)
h = float(seat.height)
h_c = float(seat.cushion_height)
iat = seat.iat
#cushion spline
x = [0.3105,0.1646,0.0918,0.0376,0.0165,0.0513,0.1646,0.3761,0.7587,
1.2838,2.2703,4.1792,6.827,7.8093,9.3321,10.4131,11.3353,11.9465,
13.7156,14.3089,15.2895,15.6938,15.8456,15.901,15.997,16.2367,16.63,
17.6547,17.9929,18.3544,18.6885,18.8811,18.9394,19.0881,19.3643,19.5465,
19.5857,19.5527,19.4336,19.1924,18.7481,18.2596,17.4452,16.124,15.1028,
12.644,10.4276,7.7231,4.0594,1.7564,0.3105]
for idx, v in enumerate(x):
x[idx] = x[idx] + float(side_datum[0])
y =[-257.4384,-256.9364,-256.4653,-255.8622,-255.2334,-254.9287,-254.7198,-254.6045,
-254.5077,-254.4387,-254.4042,-254.4419,-254.4937,-254.4714,-254.3457,-254.1187,
-253.8092,-253.5532,-252.5206,-251.9765,-250.7059,-249.775,-248.6926,-248.1472,
-247.8443,-247.6246,-247.582,-247.6768,-247.642,-247.525,-247.3178,-247.0478,
-246.6841,-246.4616,-246.5047,-246.7129,-247.1318,-248.3734,-249.7119,-250.8166,
-252.1001,-253.2385,-254.6233,-256.2434,-257.1219,-258.4113,-258.8075,-258.5307,
-257.9964,-257.6613,-257.4384,]
for index, i in enumerate(y):
y[index] = y[index] + 269.88 + side_datum[1]
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)
#front leg
x = [side_datum[0]- 0.5, side_datum[0] + 0.31, side_datum[0]+2.85, side_datum[0]+ 0.5, side_datum[0]- 0.5]
y = [side_datum[1], side_datum[1]+12.45, side_datum[1]+12.06, side_datum[1], side_datum[1]]
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)
#rear leg
x = [3.0677,3.6612,4.8953,6.764,8.1522,8.6781,10.5561,12.6487,14.1511,16.0023,
17.0486,17.4602,17.4602,22.0651,22.0651,20.8993,18.9065,18.7581,18.2764,
16.8437,14.8267,13.0859,12.0239,11.5949,11.5043,]
y = [-257.8292,-258.1007, -258.8246,-260.2469,-261.1563,-261.7199,-264.1862,-266.17
,-267.2692,-268.3415,-268.9045,-269.0944,-269.88,-269.88,-269.08,-268.3466,-268.3466,
-268.2967,-267.9846,-266.976,-265.1723,-262.7725,-260.5154,-259.1652,-258.6868]
for idx, v in enumerate(x):
x[idx] = x[idx] + side_datum[0]
for idx, v in enumerate(y):
y[idx] = y[idx] + side_datum[1] + 269.88
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)
# backrest
x = [side_datum[0]+ 18.2995, side_datum[0]+ 18.838, side_datum[0]+ 21.5257, side_datum[0]+ l_aft,
side_datum[0]+ l_aft, side_datum[0]+ l_aft-2.73, side_datum[0]+ l_aft-2.73,
side_datum[0]+16.7735]
y= [side_datum[1]+ 269.88 -245.2909, side_datum[1]+ 269.88 -243.573, side_datum[1]+ 269.88-241.36,
side_datum[1]+ 269.88-233.7, side_datum[1]+ h, side_datum[1]+ h, side_datum[1]+ h-6.86,
side_datum[1]+269.88-244.6323]
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)
#armrest
x = [16.1367,15.1433, 13.7092, 12.8578,11.4878,10.0629,7.3485,5.6107,4.3358,3.2913,
2.9024, 2.6271, 2.2814, 2.0893, 1.9357, 1.654, 1.4748, 1.5, 1.6668, 2.0125, 2.6463,
4.5332, 6.3149, 7.7075, 9.1103, 10.5234, 12.9234, 14.3744, 15.6881, 16.7735, 17.6848,
18.2275, 18.8624, 19.0496,]
y = [-247.677, -247.4666, -247.2235, -247.0763, -246.9228, -246.82,
-246.788, -246.7699,-246.8211, -246.9083, -246.9864, -247.0568,
-247.0248, -246.8201, -246.5194, -245.8605, -245.4127, -245.081,
-244.8605, -244.6707, -244.4916, -244.3156, -244.2542, -244.1826,
-244.1416, -244.1416, -244.131, -244.264, -244.4686, -244.6323,
-244.9495, -245.2462, -245.8397, -246.4771]
if iat == 'Yes':
x = [19.0496, 18.8686,
18.5033, 17.9851, 17.2047,
15.8403, 13.4135, 8.3829,
5.3935, 2.7787, 2.6132,
2.4147, 2.2548, 2.093,
1.9065, 1.6965, 1.4748,
1.5,
1.6668, 2.0125, 2.6463,
4.5332, 6.3149, 7.7075,
9.1103, 10.5234, 12.9234,
14.3744, 15.6881, 16.7735,
17.6848, 18.2275, 18.8624,
19.0496, ]
y = [-246.4771,-247.7882, -248.5658,-249.7478,-251.5941,
-254.0473,-255.8412,-257.0064, -256.856,-253.9966,-251.6167,
-249.7326,-248.5439,-247.7465,-246.8982,-246.2512,-245.4127,
-245.081,-244.8605,-244.6707,-244.4916,
-244.3156,-244.2542,-244.1826,-244.1416,-244.1416,-244.131,
-244.264,-244.4686,-244.6323,-244.9495,-245.2462,-245.8397,
-246.4771]
for idx, v in enumerate(x):
x[idx] = x[idx] + side_datum[0]
for idx, v in enumerate(y):
y[idx] = y[idx] + side_datum[1] + 269.88
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)
# top of cushion
x = [-0.0165, -l_fwd, -l_fwd, 12.8]
for idx, v in enumerate(x):
x[idx] = x[idx] + side_datum[0]
y = [14.64, 14.64, h_c, 16.76]
for idx, v in enumerate(y):
y[idx] = y[idx] + side_datum[1]
if canvas_type == 'matplotlib':
coords = np.array([x, y])
canvas.plot(x,y, color='black', linewidth=1)
elif canvas_type == 'dxf':
points = []
for index, v in enumerate(x):
points.append((v, y[index]))
canvas.add_lwpolyline(points)