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 __update_wind(fname, datapath, source, **kargs):
if source == 'quikscat':
new_wind_info = 'wind from quikscat'
from okean.datasets import quikscat
a = quikscat.WINDData(datapath)
elif source == 'blended':
new_wind_info = 'wind from myocean blended'
from okean.datasets import blended_wind
a = blended_wind.WINDData(datapath)
time = netcdf.nctime(fname, 'time')
date0 = dts.next_date(time[0], -1)
date1 = dts.next_date(time[-1], +2)
data = a.data(date0, date1)
update_wind(fname, data, new_wind_info, **kargs)
def __files(self, date0, date1=False, FA='a', nforec='auto'):
'''
Used by files_analysis and files_forecast
'''
if FA == 'f': date1 = False
if nforec == 'auto': args = {}
else: args = {'nforec': nforec}
a = GFSDownload(basefolder=self.basefolder, **args)
if date1 is False: dates = [date0]
else: dates = dateu.drange(date0, date1)
files = []
time = []
isbest = []
# first file, 00h data (last of previous day)
datePrev = dateu.next_date(date0, -1)
file0 = a.daily_files(datePrev, FA='a')[1][-1]['name']
for d in dates:
Src, Dest = a.daily_files(d, FA=FA)
for dest in Dest:
files += [dest['name']]
if files: files = [file0] + files
for f in files:
time += [get_date(f)]
if os.path.isfile(f): isbest += [not os.path.islink(f)]
else: isbest += [None]
return files, time, isbest
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 download_current(self,date=False,del1=True, quiet=True):
'''
Download files for today analysis and forecast.
If date is not provided (the current day is used), also download
analysis data of last self.ngetBefore days.
Inputs:
date, default is the current day
del1, if the original version is grib1, the conversion to grib2
is done and the version 1 files are removed if del1 is True
quiet, print info flag
'''
if not date: date=dateu.currday()
else: self.ngetBefore=1 # just get the selected day!
for i in range(self.ngetBefore):
day=dateu.next_date(date,-i,samefmt=False)
if not quiet: print 'Downloading GFS files for date '+day.strftime('%Y%m%d')
if i==0:
# download files for analysis and forecast:
self.download_fast(day,FA='a',del1=del1,checkinv=True,quiet=quiet,prevopt=False)
self.download_fast(day,FA='f',del1=del1,checkinv=True,quiet=quiet,prevopt=False)
else:
# download any missing analysis file from prev days:
self.download_fast(day,FA='a',del1=del1,checkinv=False,quiet=quiet,prevopt=True)
def check_rst(date,cf,wait=900):
'''check rst for forecast, and wait for tdiff'''
FA='a'
date0=dateu.next_date(date,-1)
rst=opt.nameof('out','rst',date=date0,FA=FA,cf=cf)
# check also if run terminated! The rst may not have the last reccord yet!
rout=opt.nameof('out','rout',date=date0,FA=FA,cf=cf)
if os.path.isfile(rst) and is_roms_out_ok(rout): return True
else:
now = dateu.currday()
tdiff = dateu.date_diff(date,now)
print "waiting for rst"
while tdiff.days < 1.5:
time.sleep(wait)
sys.stdout.write('.')
now = dateu.currday()
tdiff = dateu.date_diff(date,now)
cond=os.path.isfile(rst) and is_roms_out_ok(rout)
print " rst file ready = ",cond,' at ',now, tdiff
if cond: return True
return os.path.isfile(rst)
def __update_wind(fname,datapath,source,**kargs):
if source=='quikscat':
new_wind_info='wind from quikscat'
from okean.datasets import quikscat
a=quikscat.WINDData(datapath)
elif source=='blended':
new_wind_info='wind from myocean blended'
from okean.datasets import blended_wind
a=blended_wind.WINDData(datapath)
time=netcdf.nctime(fname,'time')
date0=dts.next_date(time[0],-1)
date1=dts.next_date(time[-1],+2)
data=a.data(date0,date1)
update_wind(fname,data,new_wind_info,**kargs)
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 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 __files(self,date0,date1=False,FA='a',nforec='auto'):
'''
Used by files_analysis and files_forecast
'''
if FA=='f': date1=False
if nforec=='auto': args={}
else: args={'nforec':nforec}
a=GFSDownload(basefolder=self.basefolder,**args)
if date1 is False: dates=[date0]
else: dates=dateu.drange(date0,date1)
files=[]
time=[]
isbest=[]
# first file, 00h data (last of previous day)
datePrev=dateu.next_date(date0,-1)
file0=a.daily_files(datePrev,FA='a')[1][-1]['name']
for d in dates:
Src,Dest=a.daily_files(d,FA=FA)
for dest in Dest:
files+=[dest['name']]
if files: files=[file0]+files
for f in files:
time+=[get_date(f)]
if os.path.isfile(f): isbest+=[not os.path.islink(f)]
else: isbest+=[None]
return files,time,isbest
def download_current(self,date=False,del1=True, quiet=True):
'''
Download files for today analysis and forecast.
If date is not provided (the current day is used), also download
analysis data of last self.ngetBefore days.
Inputs:
date, default is the current day
del1, if the original version is grib1, the conversion to grib2
is done and the version 1 files are removed if del1 is True
quiet, print info flag
'''
if not date: date=dateu.currday()
else: self.ngetBefore=1 # just get the selected day!
for i in range(self.ngetBefore):
day=dateu.next_date(date,-i,samefmt=False)
if not quiet: print('Downloading GFS files for date '+day.strftime('%Y%m%d'))
if i==0:
# download files for analysis and forecast:
self.download_fast(day,FA='a',del1=del1,checkinv=True,quiet=quiet,prevopt=False)
self.download_fast(day,FA='f',del1=del1,checkinv=True,quiet=quiet,prevopt=False)
else:
# download any missing analysis file from prev days:
self.download_fast(day,FA='a',del1=del1,checkinv=False,quiet=quiet,prevopt=True)
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 find_prev(cf=CONF):
type='rout'
date, file=find_last(type,cf=cf)
if not date:
type='ini'
date, file=find_last(type,cf=cf)
if date: date=dateu.next_date(date,-1)
return date, file, type
def clean_frc(cf,date1,date2,type,FA,nest=0,clean=False,quiet=False,output=sys.stdout):
date=date1
while date<=date2:
f=opt.nameof('in',type,date,FA,nest,cf)
if os.path.isfile(f):
if clean:
if not quiet: print >>output,'Removing ',date,' ', f
os.remove(f)
else:
print >>output,date,' ',FA,' no file',f
date=dateu.next_date(date,1)
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 prev_option(self,src):
'''
Previous source file corresponding to the same time.
Example, if the runs start each 6h and give outputs each 3h, the
previous option of the 3 hours forecast of the run starting at 12h
(time=15h) is the 9h forecast of the run starting at 6h.
'''
date = src['date']
hour_start = src['hour_start']
hour_sim = src['hour_sim']
if hour_start==0:
date = dateu.next_date(date,-1)
hour_start = 24-self.dt_start
hour_sim = hour_sim+self.dt_start
else:
hour_start = hour_start-self.dt_start
hour_sim = hour_sim+self.dt_start
return self.nameof('src',date,hour_start,hour_sim)
def prev_option(self, src):
'''
Previous source file corresponding to the same time.
Example, if the runs start each 6h and give outputs each 3h, the
previous option of the 3 hours forecast of the run starting at 12h
(time=15h) is the 9h forecast of the run starting at 6h.
'''
date = src['date']
hour_start = src['hour_start']
hour_sim = src['hour_sim']
if hour_start == 0:
date = dateu.next_date(date, -1)
hour_start = 24 - self.dt_start
hour_sim = hour_sim + self.dt_start
else:
hour_start = hour_start - self.dt_start
hour_sim = hour_sim + self.dt_start
return self.nameof('src', date, hour_start, hour_sim)
def list_files(cf,date1,date2,io,type,FA,nest=0,quiet=True):
files=cb.odict()
date=date1
while date<=date2:
f=opt.nameof(io,type,date,FA,nest,cf)
if os.path.isfile(f): files[date]=f
else: files[date]=False
date=dateu.next_date(date,1)
if not quiet:
for d in files.keys():
if files[d]:
f=files[d]
hs=cb.hsize(os.path.getsize(f))
print d,' ', f, ' ',hs[0],hs[1]
else:
print d,' no file'
return files
def list_files(cf, date1, date2, io, type, FA, nest=0, quiet=True):
files = cb.odict()
date = date1
while date <= date2:
f = opt.nameof(io, type, date, FA, nest, cf)
if os.path.isfile(f): files[date] = f
else: files[date] = False
date = dateu.next_date(date, 1)
if not quiet:
for d in files.keys():
if files[d]:
f = files[d]
hs = cb.hsize(os.path.getsize(f))
print d, ' ', f, ' ', hs[0], hs[1]
else:
print d, ' no file'
return files
def clean_frc(cf,
date1,
date2,
type,
FA,
nest=0,
clean=False,
quiet=False,
output=sys.stdout):
date = date1
while date <= date2:
f = opt.nameof('in', type, date, FA, nest, cf)
if os.path.isfile(f):
if clean:
if not quiet: print >> output, 'Removing ', date, ' ', f
os.remove(f)
else:
print >> output, date, ' ', FA, ' no file', f
date = dateu.next_date(date, 1)
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 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 clean_ini(cf,date1,date2,FA='a',nest=0,clean=False,quiet=False,output=sys.stdout):
'''Create text file with the current ini links
If the ini file is a link is can be unlinked; if it is a file it
is not removed !
'''
def read_log(f):
out=cb.odict()
if os.path.isfile(f):
L=open(log).readlines()
for l in L:
tmp=l.split(' ',1)
sdate=tmp[0]
scontents=tmp[1].rstrip().split(' + ')
out[tmp[0]]=scontents
return out
def gen_log(f,L):
i=open(f,'w')
keys=L.keys()
keys.sort()
for d in keys:
scontents=sjoin(L[d],' + ')
i.write('%s %s\n' % (d,scontents))
i.close()
def add2log(f,add):
L=read_log(f)
L0=L.copy()
sdate=add[0]
contents=add[1].rstrip()
if L.has_key(sdate) and contents not in L[sdate]:
L[sdate]+=[contents]
#if not quiet: print >>output,' +'+sdate+' '+contents
elif not L.has_key(sdate):
L[sdate]=[contents]
#if not quiet: print >>output,' '+sdate+' '+contents
if L!=L0:
gen_log(f,L)
return True
else: return False # file has not changed
files=[]
date=date1
log='ini_log_%s_%s.txt' % (date1,date2)
p=opt.pathof(cf,'inputs','ini')
log=os.path.join(p,log)
if not quiet: print >>output,'Creating/updating ini log %s' % log
HasChanged=False
while date<=date2:
f=opt.nameof('in','ini',date,FA,nest,cf)
if os.path.islink(f):
src=os.readlink(f)
add=(date,'%s --> %s' % (f,src))
hasChanged=add2log(log,add)
HasChanged=HasChanged or hasChanged
if clean:
# remove link:
if not quiet: print >>output,'removing %s' % f
os.remove(f)
elif os.path.isfile(f):
hs=cb.hsize(os.path.getsize(f))
ssize='%s %s' % (str(hs[0]),hs[1])
add=(date,'%s --> %s' % (f,ssize))
hasChanged=add2log(log,add)
HasChanged=HasChanged or hasChanged
if not quiet: print >>output,date,' keeping ', f, ' ',hs[0],hs[1]
else:
print >>output,date,' no file'
date=dateu.next_date(date,1)
if not quiet:
if HasChanged: print >>output,' file has changed'
else: print >>output,' file has not changed'
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)
def plt_wind_rose(conf, plconf, date, FA='a', nest=0, **kargs):
err = ''
fig = []
info = []
ifig = kargs.get('ifig', 0)
quiet = kargs.get('quiet', 0)
place = kargs.get('place', False)
day = kargs.get('day', 'all')
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
# get conf data and places:
Data, err = opt.get_plconf(plconf, 'WINDR')
Places, err = opt.get_plconf(plconf, 'WINDR_PLACES')
figpos = Data['fig_size'][ifig]
axpos = Data['ax_pos'][ifig]
fontsize = Data['fontsize'][ifig]
linewidth = Data['linewidth'][ifig]
legType = Data['legtype'][ifig]
intensities = Data['intensities'][ifig]
percentages = Data['percentages'][ifig]
Title = Data['title'][ifig]
labels = Data['labels'][ifig]
places = {}
for k in Places.keys():
places[k] = Places[k][ifig]
# get data from atm file:
f = roms.Blk(atm, grd)
for k in places.keys():
if place and place != k.strip('_'): continue
lon, lat = places[k][:2]
Ndays = int(np.ceil(f.tdays[-1] - f.tdays[0]))
if day == 'all': Days = range(Ndays)
else: Days = [day]
for Day in Days:
time, u, v = f.get('wind_ts', lon=lon, lat=lat, day=Day)
# calc angle and intensity:
D = np.arctan2(v, u) * 180 / np.pi
F = np.sqrt(u**2 + v**2)
# wind_rose:
args = {
'fontsize': fontsize,
'linewidth': linewidth,
'figpos': figpos,
'axpos': axpos,
'legtype': legType,
'labels': labels
}
# tilte:
if Title:
placeStr = places[k][2] #k.strip('_').replace('_',' ')
simpleTitle = 1
rdate = date.strftime('%d-%m-%Y')
title = '%s %s %s %d' % (placeStr, 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 = '%s %s' % (placeStr, rdate)
if FA == 'f':
title = title + ' (forec)'
args['labtitle'] = title
args['lablegend'] = 'wind m/s'
tmp = wr.wind_rose(D, F, di=intensities, ci=percentages, **args)
fig += [tmp]
info += [(k, Day)]
return err, fig, info
def update_wind_blended2(fname, datapaths, **kargs):
"""
In days without blended data will try to use quikscat data
"""
from okean.datasets import quikscat
from okean.datasets import blended_wind
a = blended_wind.WINDData(datapaths[0])
b = quikscat.WINDData(datapaths[1])
time = netcdf.nctime(fname, "time")
date0 = dts.next_date(time[0], -1)
date1 = dts.next_date(time[-1], +2)
data = a.data(date0, date1)
# limit are... otherwise, quikscat interp will be very slow!
grd = netcdf.fatt(fname, "grd_file")
import os
if not os.path.isfile(grd):
grd = kargs["grd"]
cond, inds = rt.grid_vicinity(grd, data["x"], data["y"], margin=5, rect=True, retinds=True)
i1, i2, j1, j2 = inds
for d in data.keys():
if d == "x":
data[d] = data[d][i1:i2]
elif d == "y":
data[d] = data[d][j1:j2]
else:
data[d] = data[d][j1:j2, i1:i2]
# check for missing days:
time0 = data.keys()
x0 = data["x"]
y0 = data["y"]
x0, y0 = np.meshgrid(x0, y0)
time0.remove("x")
time0.remove("y")
out = cb.odict()
out["x"] = x0
out["y"] = y0
info = ""
qs_ij_limits_done = False
for d in dts.drange(date0, date1):
found = 0
for t in time0:
if (t.year, t.month, t.day) == (d.year, d.month, d.day):
print "==> blended : ", t
out[t] = data[t]
found = 1
if not found: # use quikscat:
print "==> quikscat : ", d.strftime("%Y-%m-%d")
tmp = b.data(d, dts.next_date(d))
if not tmp.has_key("x"):
continue
x, y = tmp["x"], tmp["y"]
x, y = np.meshgrid(x, y)
# reduce qs data:
if not qs_ij_limits_done:
i1, i2, j1, j2 = calc.ij_limits(x, y, [x0.min(), x0.max()], [y0.min(), y0.max()])
qs_ij_limits_done = True
x = x[j1:j2, i1:i2]
y = y[j1:j2, i1:i2]
tmp[tmp.keys()[0]] = tmp[tmp.keys()[0]][j1:j2, i1:i2]
print " griddata u"
u = calc.griddata(x, y, tmp[tmp.keys()[0]].real, x0, y0)
print " griddata v"
v = calc.griddata(x, y, tmp[tmp.keys()[0]].imag, x0, y0)
out[tmp.keys()[0]] = u + 1.0j * v
info += "#" + d.strftime("%Y%m%d")
new_wind_info = "blended+quikscat at days: " + info
update_wind(fname, out, new_wind_info, **kargs)
def plt_wind_rose(conf,plconf,date,FA='a',nest=0,**kargs):
err = ''
fig = []
info = []
ifig = kargs.get('ifig',0)
quiet = kargs.get('quiet',0)
place = kargs.get('place',False)
day = kargs.get('day','all')
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
# get conf data and places:
Data,err = opt.get_plconf(plconf,'WINDR')
Places,err = opt.get_plconf(plconf,'WINDR_PLACES')
figpos = Data['fig_size'][ifig]
axpos = Data['ax_pos'][ifig]
fontsize = Data['fontsize'][ifig]
linewidth = Data['linewidth'][ifig]
legType = Data['legtype'][ifig]
intensities = Data['intensities'][ifig]
percentages = Data['percentages'][ifig]
Title = Data['title'][ifig]
labels = Data['labels'][ifig]
places={}
for k in Places.keys(): places[k]=Places[k][ifig]
# get data from atm file:
f=roms.Blk(atm,grd)
for k in places.keys():
if place and place!=k.strip('_'): continue
lon,lat=places[k][:2]
Ndays=int(np.ceil(f.tdays[-1]-f.tdays[0]))
if day=='all': Days=range(Ndays)
else: Days=[day]
for Day in Days:
time,u,v = f.get('wind_ts',lon=lon,lat=lat,day=Day)
# calc angle and intensity:
D=np.arctan2(v,u)*180/np.pi
F=np.sqrt(u**2+v**2)
# wind_rose:
args={'fontsize':fontsize,'linewidth':linewidth,'figpos':figpos,
'axpos':axpos,'legtype':legType,'labels':labels}
# tilte:
if Title:
placeStr=places[k][2]#k.strip('_').replace('_',' ')
simpleTitle=1
rdate=date.strftime('%d-%m-%Y')
title='%s %s %s %d' % (placeStr,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='%s %s' % (placeStr,rdate)
if FA=='f':
title=title+' (forec)'
args['labtitle']=title
args['lablegend']='wind m/s'
tmp=wr.wind_rose(D,F,di=intensities,ci=percentages,**args)
fig+=[tmp]
info+=[(k,Day)]
return err,fig,info
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
def op_plt_hslice(conf, plconf, date, FA, nest=0, **kargs):
closefig = kargs.get('closefig', True)
clearfig = kargs.get('clearfig', True)
save = kargs.get('save', True)
Varname = kargs.get('vname', False)
Depth = kargs.get('depth', False)
date = dateu.parse_date(date)
Err = []
Out = []
pltpath = opt.nameof('out', 'plots', cf=conf)
Figure, err = opt.get_plconf(plconf, 'FIGURE')
Hslices, err = opt.get_plconf(plconf, 'HSLICES')
Title, err = opt.get_plconf(plconf, 'AXES', 'title')
def iterv(v):
try:
len(v)
except:
v = [v]
return v
for i in range(len(Figure.values()[0])): # loop figures
Varnames = Hslices['varnames'][i].split(',')
Varnames = [s.strip() for s in Varnames]
depths = Hslices['depths'][i]
addcurr = Hslices['addcurr'][i]
# clims = Hslices['clim'][i]
depths = iterv(depths)
addcurr = iterv(addcurr)
# clims = iterv(clims)
kargs = {}
kargs['ifig'] = i
kargs['type'] = Hslices['input'][i]
#kargs['time']=Inputs['time'][i]
TIMES = Hslices['time'][i]
kargs['dcurr'] = Hslices['dcurr'][i]
kargs['scurr'] = Hslices['scurr'][i]
kargs['lcurr'] = Hslices['lcurr'][i]
if Varname: varnames = [Varname]
else: varnames = Varnames
for var in varnames: # loop variables
var = var.strip()
nv = Varnames.index(var)
kargs['cmap'] = Hslices['cmap'][i].split(',')[nv].strip()
kargs['norm'] = Hslices['norm'][i].split(',')[nv].strip()
kargs['var'] = var
vdepths = depths[nv]
try:
iter(vdepths)
except:
vdepths = [vdepths]
if Depth: vdepths = [Depth]
nz = -1
for z in vdepths: # loop depths
nz += 1
if z in ('s', 'surf', 'surface') or z >= 0:
kargs['ind'] = z
kargs['slice'] = 'k'
else:
kargs['ind'] = z
kargs['slice'] = 'z'
cl = opt.get_clims(date, var, z, plconf)[i]
kargs['clim'] = cl
for addc in addcurr: # add/no currents
kargs['currents'] = addc
# loop over time:
if TIMES == 'all':
if FA == 'a': times = [-1]
else:
times = range(
int(opt.get_conf(conf, 'PRED', 'npred')[0]))
else:
times = [TIMES]
for it in times:
kargs['time'] = it
e, fig, info = plt_hslice(conf, plconf, date, FA, nest,
**kargs)
Err += [e]
if not e:
if var: svar = var
else: svar = ''
if addc: scurr = 'curr'
else: scurr = ''
if info['hasz']:
sslice = kargs['slice'] + '_' + str(
kargs['ind'])
else:
sslice = ''
if date.hour > 0:
sdate = date.strftime('%Y%m%d_%H')
else:
sdate = date.strftime('%Y%m%d')
savename = '%s_%s_n%d_%s_%d_%s_%s_%s_%s' % (
sdate, FA, nest, kargs['type'], kargs['time'],
svar, scurr, sslice, Figure['tag'][i])
if Title[i]:
simpleTitle = 1
rdate = date.strftime('%d-%m-%Y')
if sslice: sslice = sslice[2:]
title = '%s#%s#n%d#%s#%d#%s#%s#%s' % (
rdate, FA, nest, kargs['type'],
kargs['time'], svar, scurr, sslice)
if simpleTitle: # simpler version of title:
if FA == 'f': # forecast date:
rdate = dateu.next_date(
date, kargs['time'])
rdate = date.strftime('%d-%m-%Y')
title = '%s#%s#%s#%s' % (rdate, svar,
scurr, sslice)
if FA == 'f': title = title + ' (forec)'
while 1:
if title.find('##') > -1:
title = title.replace('##', '#')
else:
break
title = title.replace('#', ' ')
pl.title(title)
while 1:
if savename.find('__') > -1:
savename = savename.replace('__', '_')
else:
break
savename = savename.strip('_')
if save:
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'][i])
Out += [savename]
pl.savefig(savename, dpi=pl.gcf().dpi)
#pl.savefig(savename,dpi=300)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err, Out
def update_wind_blended2(fname, datapaths, **kargs):
'''
In days without blended data will try to use quikscat data
'''
from okean.datasets import quikscat
from okean.datasets import blended_wind
a = blended_wind.WINDData(datapaths[0])
b = quikscat.WINDData(datapaths[1])
time = netcdf.nctime(fname, 'time')
date0 = dts.next_date(time[0], -1)
date1 = dts.next_date(time[-1], +2)
data = a.data(date0, date1)
# limit are... otherwise, quikscat interp will be very slow!
grd = netcdf.fatt(fname, 'grd_file')
import os
if not os.path.isfile(grd): grd = kargs['grd']
cond, inds = rt.grid_vicinity(grd,
data['x'],
data['y'],
margin=5,
rect=True,
retinds=True)
i1, i2, j1, j2 = inds
for d in data.keys():
if d == 'x': data[d] = data[d][i1:i2]
elif d == 'y': data[d] = data[d][j1:j2]
else: data[d] = data[d][j1:j2, i1:i2]
# check for missing days:
time0 = data.keys()
x0 = data['x']
y0 = data['y']
x0, y0 = np.meshgrid(x0, y0)
time0.remove('x')
time0.remove('y')
out = OrderedDict()
out['x'] = x0
out['y'] = y0
info = ''
qs_ij_limits_done = False
for d in dts.drange(date0, date1):
found = 0
for t in time0:
if (t.year, t.month, t.day) == (d.year, d.month, d.day):
print('==> blended : ', t)
out[t] = data[t]
found = 1
if not found: # use quikscat:
print('==> quikscat : ', d.strftime('%Y-%m-%d'))
tmp = b.data(d, dts.next_date(d))
if not tmp.has_key('x'): continue
x, y = tmp['x'], tmp['y']
x, y = np.meshgrid(x, y)
# reduce qs data:
if not qs_ij_limits_done:
i1, i2, j1, j2 = calc.ij_limits(x, y,
[x0.min(), x0.max()],
[y0.min(), y0.max()])
qs_ij_limits_done = True
x = x[j1:j2, i1:i2]
y = y[j1:j2, i1:i2]
tmp[tmp.keys()[0]] = tmp[tmp.keys()[0]][j1:j2, i1:i2]
print(' griddata u')
u = calc.griddata(x, y, tmp[tmp.keys()[0]].real, x0, y0)
print(' griddata v')
v = calc.griddata(x, y, tmp[tmp.keys()[0]].imag, x0, y0)
out[tmp.keys()[0]] = u + 1.j * v
info += '#' + d.strftime('%Y%m%d')
new_wind_info = 'blended+quikscat at days: ' + info
update_wind(fname, out, new_wind_info, **kargs)
def clean_ini(cf,
date1,
date2,
FA='a',
nest=0,
clean=False,
quiet=False,
output=sys.stdout):
'''Create text file with the current ini links
If the ini file is a link is can be unlinked; if it is a file it
is not removed !
'''
def read_log(f):
out = cb.odict()
if os.path.isfile(f):
L = open(log).readlines()
for l in L:
tmp = l.split(' ', 1)
sdate = tmp[0]
scontents = tmp[1].rstrip().split(' + ')
out[tmp[0]] = scontents
return out
def gen_log(f, L):
i = open(f, 'w')
keys = L.keys()
keys.sort()
for d in keys:
scontents = sjoin(L[d], ' + ')
i.write('%s %s\n' % (d, scontents))
i.close()
def add2log(f, add):
L = read_log(f)
L0 = L.copy()
sdate = add[0]
contents = add[1].rstrip()
if L.has_key(sdate) and contents not in L[sdate]:
L[sdate] += [contents]
#if not quiet: print >>output,' +'+sdate+' '+contents
elif not L.has_key(sdate):
L[sdate] = [contents]
#if not quiet: print >>output,' '+sdate+' '+contents
if L != L0:
gen_log(f, L)
return True
else:
return False # file has not changed
files = []
date = date1
log = 'ini_log_%s_%s.txt' % (date1, date2)
p = opt.pathof(cf, 'inputs', 'ini')
log = os.path.join(p, log)
if not quiet: print >> output, 'Creating/updating ini log %s' % log
HasChanged = False
while date <= date2:
f = opt.nameof('in', 'ini', date, FA, nest, cf)
if os.path.islink(f):
src = os.readlink(f)
add = (date, '%s --> %s' % (f, src))
hasChanged = add2log(log, add)
HasChanged = HasChanged or hasChanged
if clean:
# remove link:
if not quiet: print >> output, 'removing %s' % f
os.remove(f)
elif os.path.isfile(f):
hs = cb.hsize(os.path.getsize(f))
ssize = '%s %s' % (str(hs[0]), hs[1])
add = (date, '%s --> %s' % (f, ssize))
hasChanged = add2log(log, add)
HasChanged = HasChanged or hasChanged
if not quiet:
print >> output, date, ' keeping ', f, ' ', hs[0], hs[1]
else:
print >> output, date, ' no file'
date = dateu.next_date(date, 1)
if not quiet:
if HasChanged: print >> output, ' file has changed'
else: print >> output, ' file has not changed'
def update_wind_blended2(fname,datapaths,**kargs):
'''
In days without blended data will try to use quikscat data
'''
from okean.datasets import quikscat
from okean.datasets import blended_wind
a=blended_wind.WINDData(datapaths[0])
b=quikscat.WINDData(datapaths[1])
time=netcdf.nctime(fname,'time')
date0=dts.next_date(time[0],-1)
date1=dts.next_date(time[-1],+2)
data=a.data(date0,date1)
# limit are... otherwise, quikscat interp will be very slow!
grd=netcdf.fatt(fname,'grd_file')
import os
if not os.path.isfile(grd): grd=kargs['grd']
cond,inds=rt.grid_vicinity(grd,data['x'],data['y'],margin=5,rect=True,retinds=True)
i1,i2,j1,j2=inds
for d in data.keys():
if d == 'x': data[d]=data[d][i1:i2]
elif d == 'y': data[d]=data[d][j1:j2]
else: data[d]=data[d][j1:j2,i1:i2]
# check for missing days:
time0=data.keys()
x0=data['x']
y0=data['y']
x0,y0=np.meshgrid(x0,y0)
time0.remove('x')
time0.remove('y')
out=OrderedDict()
out['x']=x0
out['y']=y0
info=''
qs_ij_limits_done=False
for d in dts.drange(date0,date1):
found=0
for t in time0:
if (t.year,t.month,t.day)==(d.year,d.month,d.day):
print('==> blended : ',t)
out[t]=data[t]
found=1
if not found: # use quikscat:
print('==> quikscat : ',d.strftime('%Y-%m-%d'))
tmp= b.data(d,dts.next_date(d))
if not tmp.has_key('x'): continue
x,y=tmp['x'],tmp['y']
x,y=np.meshgrid(x,y)
# reduce qs data:
if not qs_ij_limits_done:
i1,i2,j1,j2=calc.ij_limits(x,y,[x0.min(),x0.max()],[y0.min(),y0.max()])
qs_ij_limits_done=True
x=x[j1:j2,i1:i2]
y=y[j1:j2,i1:i2]
tmp[tmp.keys()[0]]=tmp[tmp.keys()[0]][j1:j2,i1:i2]
print(' griddata u')
u=calc.griddata(x,y,tmp[tmp.keys()[0]].real,x0,y0)
print(' griddata v')
v=calc.griddata(x,y,tmp[tmp.keys()[0]].imag,x0,y0)
out[tmp.keys()[0]]=u+1.j*v
info+='#'+d.strftime('%Y%m%d')
new_wind_info='blended+quikscat at days: '+info
update_wind(fname,out,new_wind_info,**kargs)
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
def op_plt_hslice(conf,plconf,date,FA,nest=0,**kargs):
closefig = kargs.get('closefig',True)
clearfig = kargs.get('clearfig',True)
save = kargs.get('save',True)
Varname = kargs.get('vname',False)
Depth = kargs.get('depth',False)
date=dateu.parse_date(date)
Err=[]
Out=[]
pltpath = opt.nameof('out','plots',cf=conf)
Figure,err = opt.get_plconf(plconf,'FIGURE')
Hslices,err = opt.get_plconf(plconf,'HSLICES')
Title,err=opt.get_plconf(plconf,'AXES','title')
def iterv(v):
try: len(v)
except: v=[v]
return v
for i in range(len(Figure.values()[0])): # loop figures
Varnames = Hslices['varnames'][i].split(',')
Varnames=[s.strip() for s in Varnames]
depths = Hslices['depths'][i]
addcurr = Hslices['addcurr'][i]
# clims = Hslices['clim'][i]
depths = iterv(depths)
addcurr = iterv(addcurr)
# clims = iterv(clims)
kargs={}
kargs['ifig']=i
kargs['type']=Hslices['input'][i]
#kargs['time']=Inputs['time'][i]
TIMES=Hslices['time'][i]
kargs['dcurr']=Hslices['dcurr'][i]
kargs['scurr']=Hslices['scurr'][i]
kargs['lcurr']=Hslices['lcurr'][i]
if Varname: varnames=[Varname]
else: varnames=Varnames
for var in varnames: # loop variables
var=var.strip()
nv=Varnames.index(var)
kargs['cmap']=Hslices['cmap'][i].split(',')[nv].strip()
kargs['norm']=Hslices['norm'][i].split(',')[nv].strip()
kargs['var']=var
vdepths=depths[nv]
try: iter(vdepths)
except: vdepths=[vdepths]
if Depth: vdepths=[Depth]
nz=-1
for z in vdepths: # loop depths
nz+=1
if z in ('s','surf','surface') or z>=0:
kargs['ind'] = z
kargs['slice'] = 'k'
else:
kargs['ind'] = z
kargs['slice'] = 'z'
cl=opt.get_clims(date,var,z,plconf)[i]
kargs['clim']=cl
for addc in addcurr: # add/no currents
kargs['currents'] = addc
# loop over time:
if TIMES=='all':
if FA=='a': times=[-1]
else: times=range(int(opt.get_conf(conf,'PRED','npred')[0]))
else: times=[TIMES]
for it in times:
kargs['time']=it
e,fig,info=plt_hslice(conf,plconf,date,FA,nest,**kargs)
Err+=[e]
if not e:
if var: svar=var
else: svar=''
if addc: scurr='curr'
else: scurr=''
if info['hasz']: sslice=kargs['slice']+'_'+str(kargs['ind'])
else: sslice=''
if date.hour>0:
sdate=date.strftime('%Y%m%d_%H')
else:
sdate=date.strftime('%Y%m%d')
savename='%s_%s_n%d_%s_%d_%s_%s_%s_%s' % (sdate,FA,nest,kargs['type'],kargs['time'],svar,scurr,sslice,Figure['tag'][i])
if Title[i]:
simpleTitle=1
rdate=date.strftime('%d-%m-%Y')
if sslice: sslice=sslice[2:]
title='%s#%s#n%d#%s#%d#%s#%s#%s' % (rdate,FA,nest,kargs['type'],kargs['time'],svar,scurr,sslice)
if simpleTitle: # simpler version of title:
if FA=='f': # forecast date:
rdate=dateu.next_date(date,kargs['time'])
rdate=date.strftime('%d-%m-%Y')
title = '%s#%s#%s#%s' % (rdate,svar,scurr,sslice)
if FA=='f': title=title+' (forec)'
while 1:
if title.find('##')>-1: title=title.replace('##','#')
else: break
title=title.replace('#',' ')
pl.title(title)
while 1:
if savename.find('__')>-1: savename=savename.replace('__','_')
else: break
savename=savename.strip('_')
if save:
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'][i])
Out+=[savename]
pl.savefig(savename,dpi=pl.gcf().dpi)
#pl.savefig(savename,dpi=300)
if clearfig: fig.clear()
if closefig: pl.close(fig)
return Err,Out