#!/usr/bin/env python
# coding: utf-8

# In[1]:


get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
import netCDF4 as nc
import numpy as np
import matplotlib.patches as patches
from salishsea_tools import viz_tools, geo_tools, tidetools
from bathy_helpers import *
import matplotlib.path as mpltPath
from fast_ll2ij_SalishSea201702 import *


# In[2]:


grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')


# # October 2016

# In[3]:


fig, ax = plt.subplots(1,1, figsize=(16,12))
ax.pcolormesh(grid.variables['Bathymetry'][:])
ax.set_ylim(590,670)
ax.set_xlim(115,135)
viz_tools.set_aspect(ax)
ax.add_patch(patches.Rectangle((118,598), 15, 59, fill=False, linewidth=3))


# In[4]:


Oct = nc.Dataset('/ocean/vdo/MEOPAR/ariane-runs/Oct16/ariane_trajectories_qualitative.nc')
latt = Oct.variables['traj_lat']
lont = Oct.variables['traj_lon']
bathy, lons, lats = tidetools.get_bathy_data(grid)
mask = lont[:].mask


# In[5]:


def still_inside(time, number):
    number_of_particles = np.zeros(time)
    for n in range(time):
        for m in range(number):
            if (mask[n,m]) == False:
                y,x = fast_ll2ij_SalishSea201702(lont[n,m],latt[n,m],lons, lats)
                if (598<y<658) and (118<x<134):
                    number_of_particles[n] = number_of_particles[n] + 1
    return number_of_particles


# In[12]:


op = still_inside(744, 2694)


# In[13]:


fig,ax=plt.subplots(1,1,figsize=(8,6))
time = range(744)
ax.plot(time, op)
ax.grid('on')
ax.set_title('Number of Particles in Domain', fontsize=16)
ax.set_ylabel('Number of Particles', fontsize=14)
ax.set_xlabel('Time (h)', fontsize=14)
ax.tick_params(labelsize=12)


# In[17]:


index_deep_particles=[]
d = Oct.variables['init_z']
for n in range(2694):
    if d[n] > 6:
        index_deep_particles.append(n)


# In[18]:


mask = lont[:].mask
def deep_particles(time, index):
    number_of_deep_particles = np.zeros(time)
    for n in range(time):
        for m in index:
            if (mask[n,m]) == False: 
                y,x = fast_ll2ij_SalishSea201702(lont[n,m],latt[n,m],lons, lats)
                if (598<y<658) and (118<x<134):
                    number_of_deep_particles[n] = number_of_deep_particles[n] + 1
    return number_of_deep_particles


# In[19]:


sa = deep_particles(744,index_deep_particles)


# In[20]:


fig,ax=plt.subplots(1,1,figsize=(8,6))
time = range(744)
ax.plot(time, sa)
ax.grid('on')
ax.set_title('Number of Particles (init depth > 6) in Domain at time = x')
ax.set_ylabel('Number of Particles')
ax.set_xlabel('Time')


# In[22]:


index_shallow_particles=[]
for n in range(2694):
    if Oct.variables['init_z'][n] < 6:
        index_shallow_particles.append(n)


# In[23]:


mask=lont[:].mask
def shallow_particles(time, index):
    number_of_shallow_particles = np.zeros(time)
    for n in range(time):
        for m in index:
            if (mask[n,m]) == False: 
                y,x = fast_ll2ij_SalishSea201702(lont[n,m],latt[n,m],lons, lats)
                if (598<y<658) and (118<x<134):
                    number_of_shallow_particles[n] = number_of_shallow_particles[n] + 1
    return number_of_shallow_particles


# In[24]:


sb = shallow_particles(744, index_shallow_particles)


# In[25]:


fig,ax=plt.subplots(1,1,figsize=(8,6))
time = range(744)
ax.plot(time, sb)
ax.grid('on')
ax.set_title('Number of Particles (init depth < 6) in Domain at time = x')
ax.set_ylabel('Number of Particles')
ax.set_xlabel('Time')


# In[ ]: