import json

from bokeh.plotting import figure, output_file, show

import numpy as np

import matplotlib.pyplot as plt

from matplotlib.collections import PolyCollection

import matplotlib as mpl

import copy

from importlib import reload

import json

from pprint import pprint as pp

with open('Parser/data_shapes.json') as json_data:

d = json.load(json_data)

json_data.close()

list_of_polys = []

for key, value in d.items():

list_of_polys.append(value)

import Panels

reload(Panels)

A = Panels.panel(list_of_polys[0])

plane = Panels.plane(list_of_polys=list_of_polys)

plane.fix_ref_location(-100, -100)

plane.fix_ref_rotation(np.pi/2)

if False:

fig, ax = plt.subplots()

coll = PolyCollection(plane.current(), edgecolors='black')

ax.add_collection(coll)

for i in range(1,10):

plane.move_forward( 140 )

if i % 2 ==0:

rr = -45 + np.random.random_sample()*90

turn_deg = np.radians(rr)

plane.update_rotation( turn_deg )

coll = PolyCollection(plane.current(), edgecolors='black')

ax.add_collection(coll)

ax.autoscale_view()

ax.set_aspect('equal', 'box')

plt.show()

output_file("patch.html")

p = figure(match_aspect=True)

# add a patch renderer with an alpha an line width

for poly in plane.current():

p.patch(poly[:,0],poly[:,1], alpha=0.5, line_width=2)

for i in range(1,10):

plane.move_forward( 140 )

if i % 2 ==0:

rr = -45 + np.random.random_sample()*90

turn_deg = np.radians(rr)

plane.update_rotation( turn_deg )

for poly in plane.current():

p.patch(poly[:,0],poly[:,1], alpha=0.5, line_width=2)

show(p)