def data(self,date0=False,date1=False,quiet=True):
'''
Returns atm data form all times in basefolder files or between
date0 (>=) and date1 (<=)
'''
# get data for all times in file:
res=interim_file_data(self.files,quiet=quiet)
time=res['time']
if date0:
date0=dateu.parse_date(date0)
i,=np.where(time>=date0)
i=i[0]
else: i=0
if date1:
date1=dateu.parse_date(date1)
j,=np.where(time<=date1)
j=j[-1]
else: j=len(time)
if date0 or date1:
for k in res.keys():
if k =='time':
res[k]=res[k][i:j+1]
else:
res[k].data=res[k].data[i:j+1,...]
return res
def data(self, date0=False, date1=False, quiet=True):
'''
Returns atm data form all times in basefolder files or between
date0 (>=) and date1 (<=)
'''
# get data for all times in file:
res = interim_file_data(self.files, quiet=quiet)
time = res['time']
if date0:
date0 = dateu.parse_date(date0)
i, = np.where(time >= date0)
i = i[0]
else:
i = 0
if date1:
date1 = dateu.parse_date(date1)
j, = np.where(time <= date1)
j = j[-1]
else:
j = len(time)
if date0 or date1:
for k in res.keys():
if k == 'time':
res[k] = res[k][i:j + 1]
else:
res[k].data = res[k].data[i:j + 1, ...]
return res
def gen_clmbry(date,FA='a',nest=0,cf=CONF,quiet=True):
date=dateu.parse_date(date)
err=''
isFatal=False
fclm=opt.nameof('in','clm',date=date,FA=FA,nest=nest,cf=cf)
fbry=opt.nameof('in','bry',date=date,FA=FA,nest=nest,cf=cf)
grd=opt.nameof('in','grd',cf=cf)
if os.path.isfile(fclm) and os.path.isfile(fbry):
err='CLMBRY files already exists'
isFatal=False
else:
nforec=opt.n_pred(cf)
import get_mercator as get_hycom
# no need to check if data is ready! if not gen_clm_bry will return error!
# anyway, cannot know if hycom data of today is analtsis or forecast!!
date1=None
if FA=='f': date1=dateu.parse_date(dateu.next_date(date,nforec))
try:
err=get_hycom.gen_clm_bry(fclm,fbry,grd,date,date1,quiet=quiet)
if err:
err='ERROR creating clm bry files : %s' % err
isFatal=True
except:
err='ERROR creating clm bry files'
isFatal=True
return err, isFatal, fclm,fbry
def clean_nc_files(cf,
date1,
date2,
type,
FA,
nest=0,
mdkeep=0,
wkeep=-1,
clean=False,
quiet=False,
output=sys.stdout):
'''
mdkeep: day,month to keep
ex: mdkeep=1 => keep day 1 of every month
ex: mdkeep=(1,1) => keep day 1 of January (month,day)
ex: mdkeep=0 => no keep
wkeep: day of week to keep:
ex: wkeep=0 => keep first day of week (synday)
ex: wkeep=-1 => no keep
'''
date = date1
while date <= date2:
f = opt.nameof('out', type, date, FA, nest, cf)
if os.path.isfile(f):
hs = cb.hsize(os.path.getsize(f))
y, m, d = dateu.parse_date(date)
dweek = dateu.parse_date(date).weekday()
if mdkeep == -1:
MDkeep = dateu.mndays(
y, m) # last day of month, then calc last day:
else:
MDkeep = mdkeep
if MDkeep and MDkeep == d or MDkeep == (m, d):
if not quiet:
print >> output, '*Keeping ', date, ' ', f, ' ', hs[0], hs[
1], '**', MDkeep
elif wkeep != -1 and wkeep == dweek:
if not quiet:
print >> output, '*Keeping ', date, ' ', f, ' ', hs[0], hs[
1], '*', wkeep
else:
if not quiet:
if clean:
print >> output, 'Removing ', date, ' ', f, ' ', hs[
0], hs[1]
else:
print >> output, 'Not removing ', date, ' ', f, ' ', hs[
0], hs[1]
if clean: os.remove(f)
else:
print >> output, date, ' ', FA, ' no file'
date = dateu.next_date(date, 1)
def dates_info(cf=CONF):
'''
Configuration start_date and end_date in the form yyyymmdd
'''
start_date, e = get_conf(cf, 'DATES', 'start_date', type=str)
end_date, e = get_conf(cf, 'DATES', 'end_date', type=str)
start_date = sjoin(start_date.split('-'), '')
end_date = sjoin(end_date.split('-'), '')
return dateu.parse_date(start_date), dateu.parse_date(end_date)
def dates_info(cf=CONF):
'''
Configuration start_date and end_date in the form yyyymmdd
'''
start_date,e = get_conf(cf,'DATES','start_date',type=str)
end_date,e = get_conf(cf,'DATES','end_date',type=str)
start_date = sjoin(start_date.split('-'),'')
end_date = sjoin(end_date.split('-'),'')
return dateu.parse_date(start_date),dateu.parse_date(end_date)
def op_plt_many(conf, plconf, startDate, endDate, FA=('a', 'f'), **kargs):
startDate = dateu.parse_date(startDate)
endDate = dateu.parse_date(endDate)
date = dateu.next_date(startDate, -1)
while endDate > date:
date = dateu.next_date(date)
for p in FA:
errs, names = op_plt(conf, plconf, date, FA=p, **kargs)
for e, n in zip(errs, names):
print e, n
def op_plt_many(conf,plconf,startDate,endDate,FA=('a','f'),**kargs):
startDate=dateu.parse_date(startDate)
endDate=dateu.parse_date(endDate)
date=dateu.next_date(startDate,-1)
while endDate>date:
date=dateu.next_date(date)
for p in FA:
errs,names=op_plt(conf,plconf,date,FA=p,**kargs)
for e,n in zip(errs,names):
print e,n
def op_plt_wind_rose(conf, plconf, date, FA='a', nest=0, **kargs):
closefig = kargs.get('closefig', True)
clearfig = kargs.get('clearfig', True)
save = kargs.get('save', True)
date = dateu.parse_date(date)
Err = []
Out = []
pltpath = opt.nameof('out', 'plots', cf=conf)
Data, err = opt.get_plconf(plconf, 'WINDR')
ifig = -1
for tag in Data['tag']:
ifig += 1
args = {}
args['ifig'] = ifig
err, figs, info = plt_wind_rose(conf, plconf, date, FA, nest, **args)
if not err:
# save:
if save:
if tag: Tag = '_' + tag
else: Tag = tag
tmp = dateu.parse_date(date)
Y, M, D = tmp.year, tmp.month, tmp.day
Ydest = os.path.join(pltpath, '%s' % Y)
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest, '%02d_%02d' % (M, D))
if not os.path.isdir(MDdest): os.mkdir(MDdest)
N = -1
for fig in figs:
N += 1
place, day = info[N]
savename = 'wind_rose_%s_%s_%d_%s_n%d%s' % (
date, FA, day, place, nest, Tag)
savename = os.path.join(
MDdest, savename + '.' + Data['extension'][ifig])
Out += [savename]
fig.savefig(savename, dpi=fig.dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err, Out
def op_plt_wind_rose(conf,plconf,date,FA='a',nest=0,**kargs):
closefig = kargs.get('closefig',True)
clearfig = kargs.get('clearfig',True)
save = kargs.get('save',True)
date=dateu.parse_date(date)
Err=[]
Out=[]
pltpath = opt.nameof('out','plots',cf=conf)
Data,err = opt.get_plconf(plconf,'WINDR')
ifig=-1
for tag in Data['tag']:
ifig+=1
args={}
args['ifig']=ifig
err,figs,info=plt_wind_rose(conf,plconf,date,FA,nest,**args)
if not err:
# save:
if save:
if tag: Tag='_'+tag
else: Tag=tag
tmp=dateu.parse_date(date)
Y,M,D=tmp.year,tmp.month,tmp.day
Ydest = os.path.join(pltpath,'%s' % Y )
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest,'%02d_%02d' % (M,D) )
if not os.path.isdir(MDdest): os.mkdir(MDdest)
N=-1
for fig in figs:
N+=1
place,day=info[N]
savename='wind_rose_%s_%s_%d_%s_n%d%s' % (date,FA,day,place,nest,Tag)
savename=os.path.join(MDdest,savename+'.'+Data['extension'][ifig])
Out+=[savename]
fig.savefig(savename,dpi=fig.dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err,Out
def gen_mdates(cf,prev_month=-1):
start_date,end_date=opt.dates_info(cf)
y1,m1,d1=dateu.parse_date(start_date)
y,m,d=dateu.parse_date(dateu.currday())
y2,m2=dateu.next_month(y,m,n=prev_month)
dates=dateu.mrange(y1,m1,y2,m2)
out=[]
for i in range(len(dates)-1):
date1=dates[i]
date2=dateu.next_date(dates[i+1],-1)
out+=[(date1,date2)]
return out
def gen_mdates(cf, prev_month=-1):
start_date, end_date = opt.dates_info(cf)
y1, m1, d1 = dateu.parse_date(start_date)
y, m, d = dateu.parse_date(dateu.currday())
y2, m2 = dateu.next_month(y, m, n=prev_month)
dates = dateu.mrange(y1, m1, y2, m2)
out = []
for i in range(len(dates) - 1):
date1 = dates[i]
date2 = dateu.next_date(dates[i + 1], -1)
out += [(date1, date2)]
return out
def check_bc(date,FA,wait=3600,cf=CONF):
print 'checking parent model...'
import get_mercator as get_hycom
nforec=opt.n_pred(cf)
date1=None
if FA=='f': date1=dateu.parse_date(dateu.next_date(date,nforec))
ir=get_hycom.is_ready(date,date1,check1=FA=='a')
if get_hycom.is_ready(date,date1):
print 'bc ok at check'
return True
else:
now = dateu.currday()
tdiff = dateu.date_diff(date,now)
print "waiting for bc"
while tdiff.days < 1.5:
time.sleep(wait)
sys.stdout.write('.')
now = dateu.currday()
tdiff = dateu.date_diff(date,now)
cond= get_hycom.is_ready(date,date1,check1=FA=='a')
print " bc file ready = ",cond,' at ',now, tdiff
if cond: return True
return get_hycom.is_ready(date,date1,check1=FA=='a')
def gen_url(date,varname,dataset='GOM'):
names={}
names['temperature']='temp'
names['salinity']='salt'
names['u']='uvel'
names['v']='vvel'
if varname in names.keys(): varname=names[varname]
date=dateu.parse_date(date)
y=date.year
if dataset=='GOM':
date=date.strftime('%Y%m%d')
if date<='20120406':
return 'http://tds.hycom.org/thredds/dodsC/GOMl0.04/expt_30.1'
else:
return 'http://tds.hycom.org/thredds/dodsC/GOMl0.04/expt_31.0'
url0='http://tds.hycom.org/opendap/nph-dods/datasets/hycom/GOMl0.04/expt_20.1/'
date=date.strftime('%Y%m%d')
if date>='20120101':
url='http://tds.hycom.org/thredds/dodsC/GOMl0.04/expt_30.1/2012'
elif date>='20110101':
return 'http://tds.hycom.org/thredds/dodsC/GOMl0.04/expt_30.1/2011'
elif dataset=='GLOBAL':
return 'http://tds.hycom.org/thredds/dodsC/glb_analysis'
def op_plt(conf,plconf,date,FA,nest=0,**kargs):
herr=hout=ferr=fout=werr=wout=wrerr=wrout=[]
flags=opt.flags_info(plconf)
data=dateu.parse_date(date)
hcond = (FA=='a' and flags['hslicesa']) or (FA=='f' and flags['hslicesf'])
fcond = (FA=='a' and flags['floatsa']) or (FA=='f' and flags['floatsf'])
wcond = (FA=='a' and flags['winda']) or (FA=='f' and flags['windf'])
wrcond = (FA=='a' and flags['windra']) or (FA=='f' and flags['windrf'])
if 'vname' in kargs.keys():
hcond = kargs['vname'] in ('temp','salt','zeta') or kargs['vname'].startswith('dye')
fcond = kargs['vname']=='floats'
wcond = kargs['vname']=='wind'
wrcond = kargs['vname']=='windr'
if hcond: fcond,wcond,wrcond = False,False,False
if fcond: hcond,wcond,wrcond = False,False,False
if wcond: hcond,fcond,wrcond = False,False,False
if wrcond: hcond,fcond,wcond = False,False,False
if hcond: herr, hout = op_plt_hslice(conf,plconf,date,FA,nest,**kargs)
if fcond: ferr, fout = op_plt_flt(conf,plconf,date,FA,nest,**kargs)
if wcond: werr, wout = op_plt_wind(conf,plconf,date,FA,nest,**kargs)
if wrcond: wrerr,wrout = op_plt_wind_rose(conf,plconf,date,FA,nest,**kargs)
return herr+ferr+werr+wrerr,hout+fout+wout+wrout
def fill(self, data, tind='next', quiet=1):
'''
Fills model netcdf climatology file (data can be provided by
prognostic.data2roms
'''
nc = netcdf.Pync(self.filename, 'w')
if tind == 'next': tind = nc.dims['time']
if not quiet: print('filling clm file %s' % self.filename)
# about time:
try:
date = dts.parse_date(data['date'])
time = netcdf.date2num(date, self.tunits)
except:
time = data['date'] # date as number!
for i in nc.varnames:
if i.endswith('time'):
if not quiet: print(' -- %s tind=%d %f' % (i, tind, time))
nc.vars[i][tind] = time
names = 'temp', 'salt', 'u', 'v', 'ubar', 'vbar', 'zeta'
for i in names:
if not quiet: print(' %s' % i)
nc.vars[i][tind, ...] = data[i]
nc.close()
def gen_ini(date,FA='a',nest=0,cf=CONF):
date=dateu.parse_date(date)
dateRst=dateu.next_date(date,-1)
rst=opt.nameof('out','rst',date=dateRst,FA=FA,nest=nest,cf=cf)
ini=opt.nameof('in', 'ini',date=date,FA=FA,nest=nest,cf=cf)
err=False
isFatal=False
if os.path.isfile(ini):
err='INI file already exists: ....%s' % ini[-30:]
isFatal=False
elif not os.path.isfile(rst):
err='RST file not found: %s' % rst
isFatal=True
else:
y,m,d=date.year,date.month,date.day
model=opt.get_conf(cf,'MODEL','name',type=str)[nest]
if model.lower()=='roms-agrif' and (m,d)==(1,1):
# copy and change time to 0:
err=opt.restart_ini(rst,ini)
if err: isFatal=True
else:
# do not copy, create link:
try:
os.symlink(rst,ini)
except OSError, e:
err=e.strerror
isFatal=True
def gen_atmfrc(date,FA='a',nest=0,cf=CONF,quiet=True):
date=dateu.parse_date(date)
err=''
isFatal=False
fname=opt.nameof('in','blk',date=date,FA=FA,nest=nest,cf=cf)
if os.path.isfile(fname):
err='BLK file already exists'
isFatal=False
else:
grd=opt.nameof('in','grd',cf=cf)
atmPath = opt.pathof(cf,'external','atm')
atmData=opt.atm_info(cf)['data']
nforec=opt.n_pred(cf)
if atmData=='wrf':
cycle=366-29+dateu.mndays(date.year,date.month)
err=bfrc.make_blk_wrf(fname,grd,date,FA,atmPath,quiet=quiet,cycle=cycle)
elif atmData=='gfs':
from okean.roms.inputs import surface
if FA=='a': nforec=0
model=opt.get_conf(cf,'MODEL','name',type=str)[nest].lower()
surface.make_blk_gfs(atmPath,grd,fname,date,nforec=nforec,model=model,quiet=quiet)
try:
if err:
err='ERROR creating bulk file ('+err+')'
isFatal=True
except OSError, e:
err='ERROR creating bulk file ('+str(e)+')'
isFatal=True
except:
def op_plt(conf, plconf, date, FA, nest=0, **kargs):
herr = hout = ferr = fout = werr = wout = wrerr = wrout = []
flags = opt.flags_info(plconf)
data = dateu.parse_date(date)
hcond = (FA == 'a' and flags['hslicesa']) or (FA == 'f'
and flags['hslicesf'])
fcond = (FA == 'a' and flags['floatsa']) or (FA == 'f'
and flags['floatsf'])
wcond = (FA == 'a' and flags['winda']) or (FA == 'f' and flags['windf'])
wrcond = (FA == 'a' and flags['windra']) or (FA == 'f' and flags['windrf'])
if 'vname' in kargs.keys():
hcond = kargs['vname'] in ('temp', 'salt',
'zeta') or kargs['vname'].startswith('dye')
fcond = kargs['vname'] == 'floats'
wcond = kargs['vname'] == 'wind'
wrcond = kargs['vname'] == 'windr'
if hcond: fcond, wcond, wrcond = False, False, False
if fcond: hcond, wcond, wrcond = False, False, False
if wcond: hcond, fcond, wrcond = False, False, False
if wrcond: hcond, fcond, wcond = False, False, False
if hcond: herr, hout = op_plt_hslice(conf, plconf, date, FA, nest, **kargs)
if fcond: ferr, fout = op_plt_flt(conf, plconf, date, FA, nest, **kargs)
if wcond: werr, wout = op_plt_wind(conf, plconf, date, FA, nest, **kargs)
if wrcond:
wrerr, wrout = op_plt_wind_rose(conf, plconf, date, FA, nest, **kargs)
return herr + ferr + werr + wrerr, hout + fout + wout + wrout
def zip_out_monthly(cf, ccf):
'''Compress monthly model stdout files until previous month - minmonths
See clean.conf
'''
quiet = opt.get_conf(ccf, 'FLAGS')[0]['quiet']
conf, err = opt.get_conf(ccf, 'OUT')
if not conf['run']: return
dates = gen_mdates(cf, prev_month=-conf['minmonths'])
# start log:
flog = log_init(cf, ccf)
if not quiet: print >> flog, 'zip_out_monthly'.upper() + ' :'
for date1, date2 in dates:
y, m = dateu.parse_date(date1)[:-1]
month = dateu.month_names(m).lower()
label = '%s_%d' % (month, y)
for FA in 'fa':
zip_rout(cf,
date1,
date2,
FA,
conf['clean'],
quiet,
label,
output=flog)
# end log:
if not quiet: print >> flog, '' # empty line
log_end(flog)
def fill(self,data,tind='next',quiet=1):
'''
Fills model netcdf climatology file (data can be provided by
prognostic.data2roms
'''
nc=netcdf.Pync(self.filename,'w')
if tind=='next': tind=nc.dims['time']
if not quiet: print('filling clm file %s' % self.filename)
# about time:
try:
date=dts.parse_date(data['date'])
time=netcdf.date2num(date,self.tunits)
except:
time=data['date'] # date as number!
for i in nc.varnames:
if i.endswith('time'):
if not quiet: print(' -- %s tind=%d %f' % (i,tind,time))
nc.vars[i][tind]=time
names='temp','salt','u','v','ubar','vbar','zeta'
for i in names:
if not quiet: print(' %s' % i)
nc.vars[i][tind,...]=data[i]
nc.close()
def op_plt_wind(conf, plconf, date, FA='a', nest=0, **kargs):
closefig = kargs.get('closefig', True)
clearfig = kargs.get('clearfig', True)
save = kargs.get('save', True)
date = dateu.parse_date(date)
Figure, err = opt.get_plconf(plconf, 'FIGURE')
Err = []
Out = []
pltpath = opt.nameof('out', 'plots', cf=conf)
Data, err = opt.get_plconf(plconf, 'WIND')
ifig = -1
for tag in Figure['tag']:
ifig += 1
args = {}
args['ifig'] = ifig
tind = Data['time'][ifig]
if tind == 'dailyMean':
if FA == 'a': ndays = 1
elif FA == 'f': ndays = int(opt.get_conf(conf, 'PRED', 'npred')[0])
for day in range(ndays): # loop over time:
args['day'] = day
err, fig, info = plt_wind(conf, plconf, date, FA, nest, **args)
Err += [err]
if not err:
# save:
if save:
if tag: Tag = '_' + tag
else: Tag = tag
savename = 'wind_%s_%s_%d_n%d%s' % (
date.strftime('%Y%m%d'), FA, day, nest, Tag)
Y, M, D = date.year, date.month, date.day
Ydest = os.path.join(pltpath, '%s' % Y)
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest, '%02d_%02d' % (M, D))
if not os.path.isdir(MDdest): os.mkdir(MDdest)
savename = os.path.join(
MDdest, savename + '.' + Figure['extension'][ifig])
Out += [savename]
pl.savefig(savename, dpi=pl.gcf().dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err, Out
def roms_read_out(f):
'''Parse ROMS output text file
Returns Time, Ek,Ep,Etotal,Volume
Ex: time,kin,pot,tot,vol=roms_read_out('roms.out')
Martinho MA, 2012
'''
tag = ' STEP Day'
nskip = 2
badFormatStr = '******'
fid = open(f)
lines = fid.readlines()
n = -1
for l in lines:
if l.find('time_ref') >= 0: print str(int(float(l.split()[0])))
if l.find('time_ref') >= 0:
time_ref = dateu.parse_date(str(int(float(l.split()[0]))))
if l.find(tag) == 0: break
n += 1
n = n + nskip + 1
time = []
kin = []
pot = []
tot = []
vol = []
c = -1
for l in lines[n:]:
c += 1
if c == 0: L = len(l)
if l.find('_') != -1 or l.find('=') != -1: continue # DEF_HIS, etc
if l.find(badFormatStr): l.replace(badFormatStr, '0')
if len(l) == L:
tmp = l.split()
# time:
days = int(tmp[1])
hh, mm, ss = [int(j) for j in tmp[2].split(':')]
time += [
time_ref +
datetime.timedelta(days=days, hours=hh, minutes=mm, seconds=ss)
]
kin += [float(tmp[3])]
pot += [float(tmp[4])]
tot += [float(tmp[5])]
vol += [float(tmp[6])]
return np.asarray(time), np.asarray(kin), np.asarray(pot), np.asarray(
tot), np.asarray(vol)
def data(self, date0=False, date1=False, quiet=True):
'''
Returns atm data form all times in basefolder files or between
date0 (>=) and date1 (<=)
'''
if date0 is False: date0 = datetime.datetime(1, 1, 1)
else: date0 = dateu.parse_date(date0)
if date1 is False: date1 = datetime.datetime(9999, 1, 1)
else: date1 = dateu.parse_date(date1)
out = None
for f in self.files:
time = read_time(f)
print(time[0], time[-1])
if not np.any((time >= date0) & (time <= date1)): continue
if not quiet: print('-> extracting file %s' % f)
res = wrf_file_data(f, quiet=quiet)
time = res['time']
i, = np.where(time >= date0)
j, = np.where(time <= date1)
i = i[0]
j = j[-1]
for k in res.keys():
if k == 'time':
res[k] = res[k][i:j + 1]
else:
res[k].data = res[k].data[i:j + 1]
if not out:
out = res
else:
i0 = np.where(res['time'] > out['time'][-1])[0][0]
for k in res.keys():
if k == 'time':
out[k] = np.hstack((out[k], res[k][i0:]))
else:
out[k].data = np.concatenate(
(out[k].data, res[k].data[i0:]))
return out
def op_plt_wind(conf,plconf,date,FA='a',nest=0,**kargs):
closefig = kargs.get('closefig',True)
clearfig = kargs.get('clearfig',True)
save = kargs.get('save',True)
date=dateu.parse_date(date)
Figure,err = opt.get_plconf(plconf,'FIGURE')
Err=[]
Out=[]
pltpath = opt.nameof('out','plots',cf=conf)
Data,err = opt.get_plconf(plconf,'WIND')
ifig=-1
for tag in Figure['tag']:
ifig+=1
args={}
args['ifig']=ifig
tind = Data['time'][ifig]
if tind == 'dailyMean':
if FA=='a': ndays=1
elif FA=='f': ndays=int(opt.get_conf(conf,'PRED','npred')[0])
for day in range(ndays): # loop over time:
args['day']=day
err,fig,info=plt_wind(conf,plconf,date,FA,nest,**args)
Err+=[err]
if not err:
# save:
if save:
if tag: Tag='_'+tag
else: Tag=tag
savename='wind_%s_%s_%d_n%d%s' % (date.strftime('%Y%m%d'),FA,day,nest,Tag)
Y,M,D=date.year,date.month,date.day
Ydest = os.path.join(pltpath,'%s' % Y )
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest,'%02d_%02d' % (M,D) )
if not os.path.isdir(MDdest): os.mkdir(MDdest)
savename=os.path.join(MDdest,savename+'.'+Figure['extension'][ifig])
Out+=[savename]
pl.savefig(savename,dpi=pl.gcf().dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err,Out
def roms_read_out(f,romsagrif=False):
'''Parse ROMS output text file
Returns Time, Ek,Ep,Etotal,Volume
Ex: time,kin,pot,tot,vol=roms_read_out('roms.out')
Martinho MA, 2012
'''
if romsagrif:
tag=' MAIN: started time-steping.'
nskip=2
else:
tag=' STEP Day'
nskip=2
badFormatStr='******'
fid=open(f)
lines=fid.readlines()
n=-1
for l in lines:
if l.find('time_ref')>=0: print str(int(float(l.split()[0])))
if l.find('time_ref')>=0: time_ref=dateu.parse_date(str(int(float(l.split()[0]))))
if l.find(tag)==0: break
n+=1
n=n+nskip+1
time=[]
kin=[]
pot=[]
tot=[]
vol=[]
c=-1
for l in lines[n:]:
c+=1
if c==0: L=len(l)
if l.find('_')!=-1 or l.find('=')!=-1: continue # DEF_HIS, etc
if l.find(badFormatStr): l.replace(badFormatStr,'0')
if len(l)==L:
tmp=l.split()
# time:
days=int(tmp[1])
hh,mm,ss=[int(j) for j in tmp[2].split(':')]
time+=[time_ref+datetime.timedelta(days=days,hours=hh,minutes=mm,seconds=ss)]
kin+=[float(tmp[3])]
pot+=[float(tmp[4])]
tot+=[float(tmp[5])]
vol+=[float(tmp[6])]
return np.asarray(time),np.asarray(kin),np.asarray(pot),np.asarray(tot),np.asarray(vol)
def data(self,date0=False,date1=False,quiet=True):
'''
Returns atm data form all times in basefolder files or between
date0 (>=) and date1 (<=)
'''
if date0 is False: date0=datetime.datetime(1,1,1)
else: date0=dateu.parse_date(date0)
if date1 is False: date1=datetime.datetime(9999,1,1)
else: date1=dateu.parse_date(date1)
out=None
for f in self.files:
time=read_time(f)
print time[0],time[-1]
if not np.any((time>date0)&(time<date1)): continue
if not quiet: print '-> extracting file %s'%f
res=wrf_file_data(f,quiet=quiet)
time=res['time']
i,=np.where(time>=date0)
j,=np.where(time<=date1)
i=i[0]
j=j[-1]
for k in res.keys():
if k =='time':
res[k]=res[k][i:j+1]
else:
res[k].data=res[k].data[i:j+1]
if not out:
out=res
else:
i0=np.where(res['time']>out['time'][-1])[0][0]
for k in res.keys():
if k =='time':
out[k]=np.hstack((out[k],res[k][i0:]))
else:
out[k].data=np.concatenate((out[k].data,res[k].data[i0:]))
return out
def files(self,date0,date1=False):
date0=dateu.parse_date(date0)
if not date1: date1=date0+datetime.timedelta(1)
else: date1=dateu.parse_date(date1)
dates=dateu.drange(date0,date1,True)
files=[]
time=[]
for d in dates:
if d==dates[-1]: hours=[0]
else: hours=range(0,24,narrdt)
for hour in hours:
#fname='narr-a_%d_%s_%02d00_000.grb' % (int(d.strftime('%j'))-1,d.strftime('%Y%m%d'),hour)
fname='narr-a_221_%s_%02d00_000.grb' % (d.strftime('%Y%m%d'),hour)
files+=[os.path.join(baseurl,d.strftime('%Y%m'),d.strftime('%Y%m%d'),fname)]
time+=[d+datetime.timedelta(hour/24.)]
return files, np.array(time)
def clean_nc_files(cf,date1,date2,type,FA,nest=0,mdkeep=0,wkeep=-1,clean=False,quiet=False,output=sys.stdout):
'''
mdkeep: day,month to keep
ex: mdkeep=1 => keep day 1 of every month
ex: mdkeep=(1,1) => keep day 1 of January (month,day)
ex: mdkeep=0 => no keep
wkeep: day of week to keep:
ex: wkeep=0 => keep first day of week (synday)
ex: wkeep=-1 => no keep
'''
date=date1
while date<=date2:
f=opt.nameof('out',type,date,FA,nest,cf)
if os.path.isfile(f):
hs=cb.hsize(os.path.getsize(f))
y,m,d=dateu.parse_date(date)
dweek=dateu.parse_date(date).weekday()
if mdkeep==-1: MDkeep=dateu.mndays(y,m) # last day of month, then calc last day:
else: MDkeep=mdkeep
if MDkeep and MDkeep==d or MDkeep==(m,d):
if not quiet: print >>output,'*Keeping ',date,' ', f, ' ',hs[0],hs[1],'**', MDkeep
elif wkeep!=-1 and wkeep==dweek:
if not quiet: print >>output,'*Keeping ',date,' ', f, ' ',hs[0],hs[1],'*', wkeep
else:
if not quiet:
if clean: print >>output,'Removing ',date,' ', f, ' ',hs[0],hs[1]
else: print >>output,'Not removing ',date,' ', f, ' ',hs[0],hs[1]
if clean: os.remove(f)
else:
print >>output,date,' ',FA,' no file'
date=dateu.next_date(date,1)
def __init__(self, filename, grid, sparams, **kargs):
if not 'type' in kargs.keys(): kargs['type'] = 'ROMS Initial file'
if not 'title' in kargs.keys(): kargs['title'] = 'ROMS Initial file'
GenCommon.__init__(self, filename, grid, sparams, **kargs)
self.date = kargs.get('date', 0)
# about time:
try:
self.date = dts.parse_date(self.date)
self.time = netcdf.date2num(self.date, self.tunits)
except:
self.time = self.date # date as number!
def nameof_log(date,FA,nest=0,cf=CONF):
# currently Type is log
Type='log'
date=dateu.parse_date(date).strftime('%Y%m%d')
name,e = get_conf(cf,'NAME_LOG','name_'+Type,type=str)
path0,e = get_conf(cf,'PATHS','root',type=str)
if path0=='.': path0=os.path.realpath(os.path.dirname(cf))
else: path0=os.path.realpath(path0)
path1,e = get_conf(cf,'PATHS','logpath',type=str)
name=name_rep(name,DATE=date,FA=FA,NEST=str(nest))
return os.path.join(path0,path1,name)
def data(self,date0=False,date1=False,quiet=True,grd=False):
'''
Returns atm data date0 (>=) and date1 (<=)
'''
if grd:
from okean import roms
r=roms.Grid(grd)
xlim=r.lon.min(),r.lon.max()
ylim=r.lat.min(),r.lat.max()
lims=xlim,ylim
else:
lims=False
# get data for all times in file:
res=cordex_file_data(self.f,lims=lims,quiet=quiet)
time=res['time']
if date0:
date0=dateu.parse_date(date0)
i,=np.where(time>=date0)
i=i[0]
else: i=0
if date1:
date1=dateu.parse_date(date1)
j,=np.where(time<=date1)
j=j[-1]
else: j=len(time)
if date0 or date1:
for k in res:
if k =='time':
res[k]=res[k][i:j+1]
else:
res[k].data=res[k].data[i:j+1,...]
return res
def gen_rivfrc(date,FA='a',nest=0,cf=CONF):
date=dateu.parse_date(date)
err=''
isFatal=False
fname=opt.nameof('in','frc',date=date,FA=FA,nest=nest,cf=cf)
grd=opt.nameof('in','grd',cf=cf)
if os.path.isfile(fname):
err='RIVERS file already exists'
isFatal=False
else:
nforec=opt.n_pred(cf)
import get_rivers
date1=None
if FA=='f': date1=dateu.parse_date(dateu.next_date(date,nforec))
try:
err=get_rivers.gen_frc(fname,grd,date,date1)
except:
err='ERROR creating rivers file'
if err: isFatal=True
return err, isFatal, fname
def nameof_log(date, FA, nest=0, cf=CONF):
# currently Type is log
Type = 'log'
date = dateu.parse_date(date).strftime('%Y%m%d')
name, e = get_conf(cf, 'NAME_LOG', 'name_' + Type, type=str)
path0, e = get_conf(cf, 'PATHS', 'root', type=str)
if path0 == '.': path0 = os.path.realpath(os.path.dirname(cf))
else: path0 = os.path.realpath(path0)
path1, e = get_conf(cf, 'PATHS', 'logpath', type=str)
name = name_rep(name, DATE=date, FA=FA, NEST=str(nest))
return os.path.join(path0, path1, name)
def op_plt_flt(conf, plconf, date, FA='f', nest=0, **kargs):
closefig = kargs.get('closefig', True)
clearfig = kargs.get('clearfig', True)
save = kargs.get('save', True)
date = dateu.parse_date(date)
Figure, err = opt.get_plconf(plconf, 'FIGURE')
Err = []
Out = []
pltpath = opt.nameof('out', 'plots', cf=conf)
ifig = -1
for tag in Figure['tag']:
ifig += 1
args = {}
args['ifig'] = ifig
err, fig, info = plt_flt(conf, plconf, date, FA, nest, **args)
Err += [err]
if not err:
# save:
if save:
if tag: Tag = '_' + tag
else: Tag = tag
savename = 'floats_%s_%s_n%d%s' % (date, FA, nest, Tag)
Y, M, D = date.year, date.month, date.day,
Ydest = os.path.join(pltpath, '%s' % Y)
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest, '%02d_%02d' % (M, D))
if not os.path.isdir(MDdest): os.mkdir(MDdest)
savename = os.path.join(
MDdest, savename + '.' + Figure['extension'][ifig])
Out += [savename]
pl.savefig(savename, dpi=pl.gcf().dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err, Out
def __init__(self,filename,grid,sparams,**kargs):
if not 'type' in kargs.keys(): kargs['type'] = 'ROMS Initial file'
if not 'title' in kargs.keys(): kargs['title'] = 'ROMS Initial file'
GenCommon.__init__(self,filename,grid,sparams,**kargs)
date = 0
if 'date' in kargs.keys(): date = kargs['date']
self.date = date
# about time:
try:
self.date=dts.parse_date(self.date)
self.time=netcdf.date2num(self.date,self.tunits)
except:
self.time=self.date # date as number!
def op_plt_flt(conf,plconf,date,FA='f',nest=0,**kargs):
closefig = kargs.get('closefig',True)
clearfig = kargs.get('clearfig',True)
save = kargs.get('save',True)
date=dateu.parse_date(date)
Figure,err = opt.get_plconf(plconf,'FIGURE')
Err=[]
Out=[]
pltpath = opt.nameof('out','plots',cf=conf)
ifig=-1
for tag in Figure['tag']:
ifig+=1
args={}
args['ifig']=ifig
err,fig,info=plt_flt(conf,plconf,date,FA,nest,**args)
Err+=[err]
if not err:
# save:
if save:
if tag: Tag='_'+tag
else: Tag=tag
savename='floats_%s_%s_n%d%s' % (date,FA,nest,Tag)
Y,M,D=date.year,date.month,date.day,
Ydest = os.path.join(pltpath,'%s' % Y )
if not os.path.isdir(Ydest): os.mkdir(Ydest)
MDdest = os.path.join(Ydest,'%02d_%02d' % (M,D) )
if not os.path.isdir(MDdest): os.mkdir(MDdest)
savename=os.path.join(MDdest,savename+'.'+Figure['extension'][ifig])
Out+=[savename]
pl.savefig(savename,dpi=pl.gcf().dpi)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err,Out
def fill(self, data, tind='next', quiet=1):
'''
Fills model netcdf boundary conditions (data can be provided by
prognostic.data2romsbry
'''
nc = netcdf.Pync(self.filename, 'w')
if tind == 'next': tind = nc.dims['time']
if not quiet: print('filling bry file %s' % self.filename)
# about time:
try:
date = dts.parse_date(data['date'])
time = netcdf.date2num(date, self.tunits)
except:
time = data['date'] # date as number!
for i in nc.varnames:
if i.endswith('time'):
if not quiet: print(' -- %s tind=%d %f' % (i, tind, time))
nc.vars[i][tind] = time
names = 'temp', 'salt', 'u', 'v', 'ubar', 'vbar', 'zeta'
if self.addxz:
names = list(names) + [
'dist', 'distu', 'distv', 'depth', 'depthu', 'depthv'
]
for i in names:
for j in 'north', 'south', 'east', 'west':
vname = i + '_' + j
if vname in nc.varnames:
if vname.startswith('dist'):
if tind == 0:
if not quiet: print(' %s' % vname)
nc.vars[vname][:] = data[
vname] # not time dependent
else:
if not quiet: print(' %s' % vname)
nc.vars[vname][tind, ...] = data[vname]
nc.close()
def fill(self,data,tind='next',quiet=1):
'''
Fills model netcdf boundary conditions (data can be provided by
prognostic.data2romsbry
'''
nc=netcdf.Pync(self.filename,'w')
if tind=='next': tind=nc.dims['time']
if not quiet: print('filling bry file %s' % self.filename)
# about time:
try:
date=dts.parse_date(data['date'])
time=netcdf.date2num(date,self.tunits)
except:
time=data['date'] # date as number!
for i in nc.varnames:
if i.endswith('time'):
if not quiet: print(' -- %s tind=%d %f' % (i,tind,time))
nc.vars[i][tind]=time
names='temp','salt','u','v','ubar','vbar','zeta'
if self.addxz:
names=list(names)+['dist','distu','distv','depth','depthu','depthv']
for i in names:
for j in 'north','south','east','west':
vname=i+'_'+j
if vname in nc.varnames:
if vname.startswith('dist'):
if tind==0:
if not quiet: print(' %s' % vname)
nc.vars[vname][:]=data[vname] # not time dependent
else:
if not quiet: print(' %s' % vname)
nc.vars[vname][tind,...]=data[vname]
nc.close()
def zip_plots_monthly(cf,ccf):
'''Compress monthly model stdout files until previous month - minmonths
See clean.conf
'''
quiet=opt.get_conf(ccf,'FLAGS')[0]['quiet']
conf,err=opt.get_conf(ccf,'PLOTS')
if not conf['run']: return
dates=gen_mdates(cf,prev_month=-conf['minmonths'])
# start log:
flog=log_init(cf,ccf)
if not quiet: print >>flog, 'zip_plots_monthly'.upper()+' :'
for startMonth,endMonths in dates:
y,m,d=dateu.parse_date(startMonth)
zip_plots(cf,y,m,conf['clean'],quiet,overwrite=False,output=flog)
# end log:
if not quiet: print >>flog, '' # empty line
log_end(flog)
def zip_plots_monthly(cf, ccf):
'''Compress monthly model stdout files until previous month - minmonths
See clean.conf
'''
quiet = opt.get_conf(ccf, 'FLAGS')[0]['quiet']
conf, err = opt.get_conf(ccf, 'PLOTS')
if not conf['run']: return
dates = gen_mdates(cf, prev_month=-conf['minmonths'])
# start log:
flog = log_init(cf, ccf)
if not quiet: print >> flog, 'zip_plots_monthly'.upper() + ' :'
for startMonth, endMonths in dates:
y, m, d = dateu.parse_date(startMonth)
zip_plots(cf, y, m, conf['clean'], quiet, overwrite=False, output=flog)
# end log:
if not quiet: print >> flog, '' # empty line
log_end(flog)
def find_last(type='rout',FA='a',nest=0,cf=CONF):
kargs={'date':'*','FA':FA,'nest':nest,'cf':cf}
if type=='rout':
name=opt.nameof('out',type,**kargs)
elif type=='ini':
name=opt.nameof('in', type,**kargs)
elif type=='rst':
name=opt.nameof('out',type,**kargs)
fs=glob.glob(name)
if fs:
L=name.index('*')
date=fs[0][L:L+8]
file=fs[0]
for i in range(1,len(fs)):
if fs[i][L:L+8]>date:
date=fs[i][L:L+8]
file=fs[i]
return dateu.parse_date(date), file
else:
return '',''
def get_clims(date,var,depth,plconf):
mes=dateu.parse_date(date).month
mes='%02d' % mes
sectionNoDepth='CLIM_'+var.upper()
if not depth is False:
section = 'CLIM_'+var.upper()+'_'+str(depth)
else:
section = sectionNoDepth
option = str(mes)
res,err=get_plconf(plconf,section,option)
# if error, try to get the sectionNoDepth:
if isinstance(err,ConfigParser.NoSectionError):
section=sectionNoDepth
res,err=get_plconf(plconf,section,option)
# if error, try the default option:
if not res:
res,err=get_plconf(plconf,section,'default')
return res
def get_clims(date, var, depth, plconf):
mes = dateu.parse_date(date).month
mes = '%02d' % mes
sectionNoDepth = 'CLIM_' + var.upper()
if not depth is False:
section = 'CLIM_' + var.upper() + '_' + str(depth)
else:
section = sectionNoDepth
option = str(mes)
res, err = get_plconf(plconf, section, option)
# if error, try to get the sectionNoDepth:
if isinstance(err, ConfigParser.NoSectionError):
section = sectionNoDepth
res, err = get_plconf(plconf, section, option)
# if error, try the default option:
if not res:
res, err = get_plconf(plconf, section, 'default')
return res
def zip_out_monthly(cf,ccf):
'''Compress monthly model stdout files until previous month - minmonths
See clean.conf
'''
quiet=opt.get_conf(ccf,'FLAGS')[0]['quiet']
conf,err=opt.get_conf(ccf,'OUT')
if not conf['run']: return
dates=gen_mdates(cf,prev_month=-conf['minmonths'])
# start log:
flog=log_init(cf,ccf)
if not quiet: print >>flog, 'zip_out_monthly'.upper()+' :'
for date1,date2 in dates:
y,m=dateu.parse_date(date1)[:-1]
month=dateu.month_names(m).lower()
label='%s_%d' % (month,y)
for FA in 'fa':
zip_rout(cf,date1,date2,FA,conf['clean'],quiet,label,output=flog)
# end log:
if not quiet: print >>flog, '' # empty line
log_end(flog)
def fill(self,data,tind='next',quiet=1):
'''
Fills model netcdf bulk forcing file
'''
nc=netcdf.Pync(self.filename,'w')
if tind=='next': tind=nc.dims['time']
if not quiet: print('filling blk file %s' % self.filename)
# about time:
try:
date=dts.parse_date(data['date'])
time=netcdf.date2num(date,self.tunits)
except:
time=data['date'] # date as number!
for i in nc.varnames:
if i.endswith('time'):
if not quiet: print(' -- %s tind=%d %f' % (i,tind,time))
nc.vars[i][tind]=time
if 'Tair' in nc.varnames: # roms
names=('Tair','tair'),('Pair','pres'),('Qair','rhum'),('rain','prate'),\
('swrad','radsw'),('lwrad','radlw'),('Uwind','uwnd'),('Vwind','vwnd'),\
'sustr','svstr','wspd','cloud',('lwrad_down','dlwrf')
if not 'tair' in data.keys(): # assuming data has roms (not agrif) varnames:
names='Tair','Pair','Qair','rain','swrad','lwrad','Uwind','Vwind','sustr','svstr','wspd','cloud','lwrad_down'
elif 'tair' in nc.varnames: # roms-agrif
names='tair','pres','rhum','prate','radlw','radsw','dlwrf','uwnd',\
'vwnd','wspd','sustr','svstr',\
'cloud' # not used, but add it anyway
for i in names:
if isinstance(i,basestring): filev,datav=i,i
else: filev,datav=i
if datav not in data.keys():
if not quiet: print(' Warning: data key %s not present' % datav)
else:
if not quiet: print(' %s (%s) min=%8.3f max=%8.3f' % (filev.ljust(7),datav.ljust(7),
data[datav].min(),data[datav].max()))
nc.vars[filev][tind,...]=data[datav]
# fill original data:
orig=datav+'_original'
if orig in data.keys() and not orig in nc.varnames:
if not quiet: print(' Warning: original data will not be written %s' % orig)
elif not orig in data.keys() and orig in nc.varnames:
if not quiet: print(' Warning: original data not present %s' % orig)
elif orig in data.keys() and orig in nc.varnames:
if not quiet: print(' %s min=%8.3f max=%8.3f' % (orig.ljust(7+9),
data[orig].min(),data[orig].max()))
nc.vars[orig][tind,...]=data[orig]
# fill original x,y:
if tind==0 and 'x_original' in data.keys() and 'x_original' in nc.varnames:
if not quiet: print(' filling x,y original')
nc.vars['x_original'][:]=data['x_original']
nc.vars['y_original'][:]=data['y_original']
nc.close()
def nameof(ioe,type,date='',FA='??',nest=0,cf=CONF,**kargs):
'''return names with path of roms files, input, output and external
ioe='in', 'out', 'ext', 'aux'
'''
inStoragePath = kargs.get('istorage',False)
outStoragePath = kargs.get('ostorage',False)
extStoragePath = kargs.get('estorage',False)
auxStoragePath = kargs.get('astorage',False)
if ioe in ('in',0):
NAMEsection = 'NAME_INPUTS'
NAMEoption = 'name_in_'+type
PATHoption1 = 'inputs'
PATHoption2 = 'inputs_'+type
elif ioe in ('out',1):
NAMEsection = 'NAME_OUTPUTS'
NAMEoption = 'name_out_'+type
PATHoption1 = 'outputs'
PATHoption2 = 'outputs_'+type
elif ioe in ('ext',2):
NAMEsection = 'NAME_EXTERNAL'
NAMEoption = 'name_ext_'+type
PATHoption1 = 'external'
PATHoption2 = 'external_'+type
elif ioe=='aux':
NAMEsection = 'NAME_AUX'
NAMEoption = 'name_aux_'+type
PATHoption1 = 'aux'
PATHoption2 = 'aux_'+type
PATHsection = 'PATHS'
path0,e=get_conf(cf,PATHsection,'root',type=str)
if path0=='.': path0=os.path.realpath(os.path.dirname(cf))
else: path0=os.path.realpath(path0)
path1,e=get_conf(cf,PATHsection,PATHoption1,type=str)
path2,e=get_conf(cf,PATHsection,PATHoption2,type=str)
name,err=get_conf(cf,NAMEsection,NAMEoption,type=str)
if err:
print err
return
try: year=dateu.parse_date(date).year
except: year=''
if isinstance(date,datetime.datetime): date=dateStr=date.strftime('%Y%m%d')
else: dateStr=date
name=name_rep(name,DATE=dateStr,NEST=str(nest),FA=FA,YEAR=str(year))
if inStoragePath and ioe=='in':
return os.path.join(inStoragePath,name)
elif outStoragePath and ioe=='out':
return os.path.join(outStoragePath,name)
elif extStoragePath and ioe=='ext':
return os.path.join(extStoragePath,name)
elif auxStoragePath and ioe=='aux':
return os.path.join(auxStoragePath,name)
else:
return os.path.join(path0,path1,path2,name)
def plt_wind(conf, plconf, date, FA='a', nest=0, **kargs):
err = ''
fig = False
info = ''
ifig = kargs.get('ifig', 0)
day = kargs.get('day', 0)
quiet = kargs.get('quiet', 0)
time = day
date = dateu.parse_date(date)
# find input files:
args = {'cf': conf, 'date': date, 'FA': FA, 'nest': nest}
atm = opt.nameof('in', 'blk', **args)
grd = opt.nameof('in', 'grd', **args)
if not os.path.isfile(atm):
err = 'ATM file not found (%s)' % atm
return err, fig, info
if not os.path.isfile(grd):
err = 'Grid file not found (%s)' % grd
return err, fig, info
Data, err = opt.get_plconf(plconf, 'WIND')
dcurr = Data['dcurr'][ifig]
lcurr = Data['lcurr'][ifig]
scurr = Data['scurr'][ifig]
clim = Data['clim'][ifig]
tind = Data['time'][ifig]
x = netcdf.use(grd, 'lon_rho')
y = netcdf.use(grd, 'lat_rho')
wtime = netcdf.nctime(atm, 'time')
cnd = (wtime >= date + datetime.timedelta(days=day)) & (
date < date + datetime.timedelta(days=day + 1))
u = netcdf.use(atm, 'Uwind', time=cnd)
v = netcdf.use(atm, 'Uwind', time=cnd)
if tind == 'dailyMean':
u = u.mean(0)
v = v.mean(0)
sdate = wtime[cnd][
0] # for title... 1st day 00h is expected to be 1st date,
# or model should not run!
else: # tind of some day, ex: tind 0 from forec day 3
u = u[tind]
v = v[tind]
sdate = wtime[cnd][tind]
if day > len(u) - 1:
err = 'Invalid day %d (max=%d)' % (day, len(u) - 1)
return err, fig, info
# plot grid:
proj, fig, ax = plt_grid(plconf, grd, ifig)
# no mask on land:
mask = np.zeros(u.shape, 'bool')
mask[::dcurr[0], ::dcurr[1]] = True
xm, ym = proj(x, y)
s = np.sqrt(u**2 + v**2)
q = pl.quiver(xm[mask],
ym[mask],
u[mask],
v[mask],
s[mask],
scale=scurr,
zorder=100)
pl.clim(clim[0], clim[1])
def add_colorbar(handle, **args):
ax = pl.gca()
Data, err = opt.get_plconf(plconf, 'AXES')
cbpos = Data['cbpos'][ifig]
cbbgpos = Data['cbbgpos'][ifig]
cbbgc = Data['cbbgcolor'][ifig]
cbbga = Data['cbbgalpha'][ifig]
cblab = Data['cblabel'][ifig]
# colorbar bg axes:
if cbbgpos:
rec = pl.axes((cbpos[0] - cbpos[2] * cbbgpos[0],
cbpos[1] - cbbgpos[2] * cbpos[3], cbpos[2] *
(1 + cbbgpos[0] + cbbgpos[1]), cbpos[3] *
(1 + cbbgpos[2] + cbbgpos[3])),
axisbg=cbbgc,
frameon=1)
rec.patch.set_alpha(cbbga)
rec.set_xticks([])
rec.set_yticks([])
for k in rec.axes.spines.keys():
rec.axes.spines[k].set_color(cbbgc)
rec.axes.spines[k].set_alpha(cbbga)
# colorbar:
if cbpos:
cbax = fig.add_axes(cbpos)
if cbpos[2] > cbpos[3]: orient = 'horizontal'
else: orient = 'vertical'
cb = pl.colorbar(handle,
cax=cbax,
orientation=orient,
drawedges=0,
**args)
pl.axes(ax)
# colorbar label:
cb.set_label(r'Wind Speed [m s$^{\rm{-1}}$]')
def add_currkey(handle):
pos = Data['kcurrpos'][ifig]
if pos:
pl.quiverkey(handle,
pos[0],
pos[1],
lcurr,
'%s m/s' % str(lcurr),
labelpos='S',
coordinates='axes')
add_colorbar(q)
add_currkey(q)
# tilte:
Title, err = opt.get_plconf(plconf, 'AXES', 'title')
if Title[ifig]:
simpleTitle = 1
rdate = date.strftime('%d-%m-%Y')
title = 'wind %s %s %d' % (rdate, FA, day)
if simpleTitle: # simpler version of title:
if FA == 'f': # forecast date:
rdate = dateu.next_date(date, day)
rdate = rdate.strftime('%d-%m-%Y')
title = 'wind %s' % (rdate)
if FA == 'f':
title = title + ' (forec)'
pl.title(title)
# logo:
if ifig == 0:
im = os.path.join(os.path.dirname(__file__), 'logo_INOCAR.png')
i = pl.imread(im)
h, w = i.shape[:2]
rx = .12
W = (proj.xmax - proj.xmin) * rx
H = W * h / w
l = proj.xmax
#pl.fill([proj.xmax-W, proj.xmax, proj.xmax, proj.xmax-W],
# [proj.ymin, proj.ymin, proj.ymin+2.8*H, proj.ymin+2.8*H],
# '#500000',alpha=0.25,ec='none')
ax.imshow(i,
extent=(proj.xmax * .98 - W, proj.xmax * .98,
proj.ymin + H * .1, proj.ymin + H * 1.1),
zorder=1e3)
#pl.text(proj.xmax-W/2., proj.ymin+2.2*H,'OOF',
# fontdict={'size':14,'family':'serif'},
# color='#500000',ha='center',weight='bold')
pl.text(
proj.xmax * .8,
proj.ymax * (-.1),
sdate.strftime("%d %b %Y"),
#pl.text(proj.xmax*.62, proj.ymax*.93,sdate.strftime("%d %b %Y"),
fontdict={
'size': 13,
'family': 'monospace'
},
ha='center')
# change date format if tind is not daily mean, ie, add hour, etc
if FA == 'f':
s = 'Pronostico desde %s' % date.strftime("%d %b %Y")
pl.text(
proj.xmax * .8,
proj.ymax * (-.15),
s, ##this is outside
#pl.text(proj.xmax-W/2., proj.ymin+1.1*H,s, ##this is in the proj (inside)
fontdict={'fontsize': 10},
ha='center')
# logo.
# lims change in some mpl versions !!
pl.gca().axis([proj.xmin, proj.xmax, proj.ymin, proj.ymax])
return err, fig, info
# rotate wind,
print ' --> rot U,V'
angle = g.use('angle')
U, V = calc.rot2d(U, V, angle)
print ' filling %s' % d.isoformat(' ')
fill_frc(frcname, d, U, V)
if __name__ == '__main__':
import sys
if len(sys.argv) == 5:
grd = sys.argv[1]
fname = sys.argv[2]
date0 = dateu.parse_date(sys.argv[3])
date1 = dateu.parse_date(sys.argv[4])
make_frc(fname, grd, date0, date1)
elif len(sys.argv) in [2, 3]:
date = sys.argv[1]
try:
action = sys.argv[2]
except:
action = 'download'
a = ascat()
if action == 'download':
if len(date) == 4: a.download_year(int(date))
else: a.download_day(date)
def gen_tidalfrc(date,FA='a',nest=0,cf=CONF): from py_pack.roms import tides_forcing as tfrc date=dateu.parse_date(date) err='Not implemented yet!!' isFatal=True
def oof(cf,plconf,date=False,last_date=False,FA='a',env=False):
# start email notifications service:
emailInfo=opt.email_info(cf=cf)
sendEmail=emailInfo['send']
#if sendEmail: sys.stdout=opt.Redirect()
env_vars(env)
flags=opt.flags_info(cf)
if date: date=dateu.parse_date(date)
if last_date: last_date=dateu.parse_date(last_date)
if not date:
# find date-1 for prediction:
date,file=find_last(type='rst',cf=cf)
if not date:
on_error(sendEmail,'ERROR (%s): Cannot find previous file'%FA,emailInfo)
return
else:
print 'Last date = %s from file %s' % (date,file)
rout=opt.nameof('out','rout',date=date,FA='a',cf=cf)
if is_roms_out_ok(rout):
print 'Previous roms out is ok: %s' % rout
else:
on_error(sendEmail,'ERROR (%s): Last run is not ok %s : %s' % (FA,date,rout),emailInfo)
return
else:
date=dateu.next_date(date,-1)
# read dates:
start_date,end_date=opt.dates_info(cf)
if last_date: end_date=dateu.next_date(last_date,+1)
while date >= start_date and date < end_date:
# read dates again, possible update may occur.
start_date,end_date=opt.dates_info(cf)
if last_date: end_date=dateu.next_date(last_date,+1)
date=dateu.next_date(date)
# check if already runned for that date:
# ie, check for rst and check if roms_out is ok:
rst=opt.nameof('out','rst',date=date,FA=FA,cf=cf)
rout=opt.nameof('out','rout',date=date,FA=FA,cf=cf)
if os.path.isfile(rst):
print 'Found rst file for %s: %s' % (date,rst)
if os.path.isfile(rout):
if is_roms_out_ok(rout):
print ' previous roms out is ok: %s' % rout
else:
on_error(sendEmail,'ERROR (%s): Previous roms out is NOT ok: %s' % (FA,rout),emailInfo)
break
else:
print ' roms out for %s not found: NOT CHECKED' % date
else:
print '\nModel will start from %s' % date
# check for atm data for current simulation:
if flags['atmfrc'] or flags['atmblk']:
atmStat=check_atm(date,FA,cf=cf)
else: atmStat=True
## wait for rst in case of fa==F:
##if FA=='f': rstStat=check_rst(date,cf=cf)
##else: rstStat=True
rstStat=check_rst(date,cf=cf)
# check for bondary data for current simulation:
if flags['clmbry']:
# this step may take forever !! just let us belive parent model is available
#bcStat=check_bc(date,FA,cf=cf)
bcStat=True
else: bcStat=True
now=time.strftime("%Y-%m-%d %H:%M:%S +0",time.gmtime())
if (not atmStat is False) and (not rstStat is False) and (not bcStat is False):
rout,dt,runErr=run(date,FA,cf=cf)
now=time.strftime("%Y-%m-%d %H:%M:%S +0",time.gmtime())
# check if run was ok:
if is_roms_out_ok(rout):
msg='NO error %s %s'%(date,FA)
Msg=' Run %s %s finished ok [%s] dt=%6.2f' % (date,FA,now,dt)
print Msg
# make plots:
if flags['plots']:
err,savenames=op_plot.op_plt(cf,plconf,date,FA)
if not all(e=='' for e in err):
msg+=' --> ERROR plotting'
print ' ERROR plotting : ',
for e in err: print e
if not all(e=='' for e in savenames):
for sv in savenames:
print ' Saved plot '+sv
elif runErr:
on_error(sendEmail,'ERROR (%s): Run %s returned the error msg: %s' % (FA,date,runErr),emailInfo)
break
else:
on_error(sendEmail,'ERROR (%s): Run %s finished with ERROR [%s] dt=%6.2f' % (FA,date,now,dt),emailInfo)
break
elif atmStat is False:
Msg='ERROR (%s): Run %s cannot run (atm data missing) ERROR [%s]' % (FA,date,FA,now)
if FA=='a':
on_error(sendEmail,Msg,emailInfo)
break
else:
msg='ERROR: atm data missing'
print Msg
elif rstStat is False:
msg='ERROR: rst data missing'
Msg='ERROR (%s): Run %s cannot run (atm data missing) ERROR [%s]' % (FA,date,now)
print Msg
print '\n'
if sendEmail: send_email.send(emailInfo['dest'],Msg,msg)
