# Data

from scipy.spatial import Voronoi, voronoi_plot_2d
import matplotlib.pyplot as plt


class Pit:
  def __init__(self, loc, depth, diam):
    self.loc = loc
    self.depth = depth
    self.diam = diam

  def __repr__(self):
    return '%s @ %.1fcm deep, %.1fcm wide' % (str(self.loc), self.depth, self.diam)

  def disp(self):
    return '%.1fcm dp\n %.1fcm wd' % (self.depth, self.diam)

  def __getitem__(self,ind):
    return self.loc[ind]

class Date:
  def __init__(self, year, month, day):
    self.year = year
    self.month = month
    self.day = day
    
  def __repr__(self):
    return '%d-%d-%d' % (self.year, self.month, self.day)

class Trial:
  def __init__(self, date, intro, dead, size, pits):
    self.date = date
    self.intro = intro
    self.dead = dead
    self.size = size
    self.pits = pits

  def __repr__(self):
    return str(self.date) + ' ' + str(self.pits)

  def plot(self, save=False):
    vor = Voronoi([pit.loc for pit in self.pits])
    voronoi_plot_2d(vor)
    for pit in self.pits:
      plt.text(pit[0], pit[1], pit.disp(), ha='center', va='bottom')
    plt.xlabel('%s (dimension %dx%dcm)' % (str(self.date), self.size[0], self.size[1]))
    if save:
      plt.savefig(str(self.date)+'.svg')
    else:
      plt.show()

trials = [
  Trial(Date(2019, 10, 16), 31, 6, [31,32], [
    Pit([4,25],1.3,4.2),
    Pit([3,13],1.4,3.7),
    Pit([10,25],1.1,3.0),
    Pit([18,18],1.8,2.3),
    Pit([30,14],2.2,3.1),
    Pit([29,11],1.4,2.5),
    Pit([27,10],1.2,2.1),
    Pit([29,6],2.4,3.9),
    Pit([26,5],1.8,3.6),
  ]),
]

trials[0].plot()