#!/usr/bin/env python
"""
Mock-up timeseries for bogue
"""

import os, sys
import datetime, time
import pycdf
import numpy

sys.path.append('/home/haines/nccoos/raw2proc')
del(sys)

from pylab import colorbar, figure, savefig, setp, getp
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, date2num, num2date
from procutil import dt2es, es2dt

# ---- on cromwell load data
#if load_data:
print ' ... loading data for graph'
ncFile='/home/haines/data/nccoos/level1/bogue/adcp/bogue_adcp_2008_01.nc'
nc = pycdf.CDF(ncFile)
ncvars = nc.variables()
print ncvars
es = nc.var('time')[:]
units = nc.var('time').units
dt = [es2dt(e) for e in es]
dn = date2num(dt)
z = nc.var('z')[:]
wd = nc.var('water_depth')[:]
en = nc.var('en')[:]
u = nc.var('u')[:]
v = nc.var('v')[:]
# nc.close()

# ---- open a new figure
fig = figure(figsize=(11, 8))

# ----- top plot
ax = fig.add_subplot(4,1,1)
ax.plot_date(dt, en, fmt='b-')

# this is superfluous, since the autoscaler should get it right, but
# use date2num and num2date to to convert between dates and floats if
# you want; both date2num and num2date convert an instance or sequence
ax.set_xlim( dt[0], dt[-1] )
setp(ax.xaxis, label_position='top')
ax.set_ylabel(nc.var('en').standard_name)
setp(ax, xlabel='Time')

# The hour locator takes the hour or sequence of hours you want to
# tick, not the base multiple

ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
# ax.xaxis.set_major_formatter( DateFormatter('%d') )
setp(ax, xticklabels=[''])

# ----- middle plot
ax = fig.add_subplot(4,1,2)
ax.plot_date(dt, wd, fmt='b-')
ax.set_ylabel(nc.var('water_depth').standard_name)
ax.set_xlim( dt[0], dt[-1] )
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
# ax.xaxis.set_major_formatter( DateFormatter('%d') )
setp(ax, xticklabels=[''])
setp(ax, xlabel='')

# ----- middle plot
ax = fig.add_subplot(4,1,3)
ax.pcolor(dn, z, u.transpose(), vmin=numpy.nanmin(u), vmax=numpy.nanmax(u))
ax.plot_date(dt, wd, fmt='k-')
ax.set_ylabel(nc.var('u').standard_name)
ax.set_ylim(2,10)
ax.set_xlim(dt[0], dt[-1])
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
# ax.xaxis.set_major_formatter( DateFormatter('%d') )
setp(ax, xticklabels=[''])
setp(ax, xlabel='')
# colorbar()

# ----- bottom plot
ax = fig.add_subplot(4,1,4)
ax.pcolor(dn, z, v.transpose(), vmin=numpy.nanmin(v), vmax=numpy.nanmax(v))
ax.plot_date(dt, wd, fmt='k-')
ax.set_ylabel(nc.var('v').standard_name)
ax.set_ylim(2,10)
ax.set_xlim(dt[0], dt[-1])
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
ax.xaxis.set_major_formatter( DateFormatter('%d') )
# setp(ax, xticklabels=[''])
setp(ax, xlabel='Time')
# colorbar()

fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9)

savefig('test_bogue_plot.png')
os.system('ls')                                                                                                
os.system('scp -r *.png haines@pitot.marine.unc.edu:/afs/isis.unc.edu/depts/marine/workspace/haines/public_html/nccoos/test')