def test_fsteff_list_rec(self):
"""fsteff accept list and dict as input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
keylist = rmn.fstinl(funit)
rmn.fsteff(keylist)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname, rmn.FST_RO)
kla = rmn.fstinf(funit, nomvar='LA')
klo = rmn.fstinf(funit, nomvar='LO')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(kla, None, 'LA found after delete: ' + repr(kla))
self.assertEqual(klo, None, 'LO found after delete: ' + repr(klo))
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
klo = rmn.fstinf(funit, nomvar='LO')
rmn.fsteff(klo)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname, rmn.FST_RO)
klo = rmn.fstinf(funit, nomvar='LO')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(klo, None, 'LO found after delete: ' + repr(klo))
def test_fstdread3d(self):
"""
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
import rpnpy.utils.fstd3d as fstd3d
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
try:
fileId = rmn.fstopenall(fileNameIn)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" % (fileNameIn, fileNameOut))
sys.exit(1)
try:
rec3d = fstd3d.fst_read_3d(fileId, nomvar='TT', getPress=True, verbose=True)
except:
raise
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileId)
def test_fstdread3d(self):
"""
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
import rpnpy.utils.fstd3d as fstd3d
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
try:
fileId = rmn.fstopenall(fileNameIn)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" %
(fileNameIn, fileNameOut))
sys.exit(1)
try:
rec3d = fstd3d.fst_read_3d(fileId,
nomvar='TT',
getPress=True,
verbose=True)
except:
raise
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileId)
def test_ezqkdef_file_ezgprm_ezgfstp(self):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
(ni,nj) = (201,100)
gp = {
'shape' : (ni,nj),
'ni' : ni,
'nj' : nj,
'grtyp' : 'Z',
'ig1' : 2002,
'ig2' : 1000,
'ig3' : 0,
'ig4' : 0,
'grref' : 'E',
'ig1ref' : 900,
'ig2ref' : 0,
'ig3ref' : 43200,
'ig4ref' : 43200,
'iunit' : funit
}
gid1 = rmn.ezqkdef(gp)
a = rmn.ezgfstp(gid1)
rmn.fstcloseall(funit)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
self.assertEqual(a['nomvarx'].strip(),'>>')
self.assertEqual(a['nomvary'].strip(),'^^')
rmn.gdrls(gid1)
def test_fstlir_fstlirx_fstlir_witharray(self):
"""fstlir_fstlirx_fstlir_witharray should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/2009042700_000')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
k = rmn.fstinf(funit)['key']
a = rmn.fstprm(k)
self.assertEqual(a['nomvar'].strip(),'P0','fstinf/fstprm wrong rec, Got %s expected P0' % (a['nomvar']))
k = rmn.fstsui(funit)['key']
a = rmn.fstprm(k)
self.assertEqual(a['nomvar'].strip(),'TT','fstsui/fstprm wrong rec, Got %s expected TT' % (a['nomvar']))
k = rmn.fstinf(funit,nomvar='MX')['key']
a = rmn.fstlir(funit)
a = rmn.fstlir(funit,dataArray=a['d'])
self.assertEqual(a['nomvar'].strip(),'P0','fstlir wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])),530)
self.assertEqual(int(np.amax(a['d'])),1039)
k = rmn.fstinf(funit,nomvar='MX')['key']
a = rmn.fstlirx(k,funit,dataArray=a['d'])
self.assertEqual(a['nomvar'].strip(),'LA','fstlirx wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])),-88)
self.assertEqual(int(np.amax(a['d'])),88)
a = rmn.fstlis(funit,dataArray=a['d'])
self.assertEqual(a['nomvar'].strip(),'LO','fstlis wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])),-180)
self.assertEqual(int(np.amax(a['d'])),178)
rmn.fstcloseall(funit)
def plotTwo(paramsBase=paramsBase, paramsAlt=paramsAlt, savePath = saveLoc):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
filePath1, spc1, area1, title1 = paramsBase['filePath'], paramsBase['spc'], paramsBase['area'], paramsBase['title']
filePath2, spc2, area2, title2 = paramsAlt['filePath'], paramsAlt['spc'], paramsAlt['area'], paramsAlt['title']
fileID1= openFile(filePath1)
print(filePath)
print(spc1)
gridKey1 = getKey(fileID1, spc1, 76696048)
gridData1, lonData1, latData1 = getGridData(fileID1, gridKey1)
try:
areaType1 = paramsBase['type']
if areaType1 == 'n':
ni1, nj1 = area1[0], area1[1]
else:
ni1, nj1 = getFuzzyNiNj(area1[0], area1[1], gridData1)
except: #default to ninj type, only will get if lon/lat failed to get ninj values
ni1, nj1 = area1[0], area1[1]
fileID2 = openFile(filePath2)
gridKey2 = getKey(fileID2, spc2, 76696048)
gridData2, lonData2, latData2 = getGridData(fileID2, gridKey2)
try:
areaType2 = paramsAlt['type']
if areaType2 == 'n':
ni2, nj2 = area2[0], area2[1]
else:
ni2, nj2 = getFuzzyNiNj(area2[0], area2[1], gridData2)
except: #default to ninj type, only will get if lon/lat failed to get ninj values
ni2, nj2 = area1[0], area1[1]
hyList1, concList1= getPlotValues(fileID1, ip1List, spc1, ni1, nj1)
hyList2, concList2= getPlotValues(fileID2, ip1List, spc2, ni2, nj2)
plotStackVP(concList1, concList2, hyList1, hyList2, title1, title2, spc1, savePath)
def test_14(self):
"""
Queries: Get Vertical Grid Info
This example shows how to get the vertical grid definition and print some info.
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.kindToString
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_get
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open file
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileName = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the vgrid definition present in the file
v = vgd.vgd_read(fileId)
# Get Some info about the vgrid
vkind = vgd.vgd_get(v, 'KIND')
vver = vgd.vgd_get(v, 'VERS')
tlvl = vgd.vgd_get(v, 'VIPT')
try:
ip1diagt = vgd.vgd_get(v, 'DIPT')
except:
ip1diagt = 0
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1diagt)
VGD_KIND_VER_INV = dict(
(v, k) for k, v in vgd.VGD_KIND_VER.items())
vtype = VGD_KIND_VER_INV[(vkind, vver)]
print(
"CB14: Found vgrid type=%s (kind=%d, vers=%d) with %d levels and diag level=%7.2f%s (ip1=%d)"
% (vtype, vkind, vver, len(tlvl), ldiagval,
rmn.kindToString(ldiagkind), ip1diagt))
except:
raise
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_isfst_openall_fstnbr(self):
"""isfst_openall_fstnbr should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
## rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST,rmn.FSTOP_GET)
HOME = os.getenv('HOME')
a = rmn.isFST(os.path.join(HOME.strip(), '.profile'))
self.assertFalse(a, 'isFST should return false on non FST files')
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_000')
a = rmn.isFST(myfile)
self.assertTrue(a, 'isFST should return true on FST files')
funit = rmn.fstopenall(myfile, rmn.FST_RO)
self.assertTrue(funit > 0,
'fstopenall should return a valid file unit')
nrec = rmn.c_fstnbrv(funit)
self.assertEqual(nrec, 1083, ' c_fstnbrv found %d/1083 rec ' % nrec)
nrec = rmn.fstnbrv(funit)
self.assertEqual(nrec, 1083, ' fstnbrv found %d/1083 rec ' % nrec)
rmn.fstcloseall(funit)
def getID(filePath):
""" Gets the fileID and opens the file in read/write mode. """
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# open file to process
fileID = rmn.fstopenall(filePath, rmn.FST_RW)
return fileID
def diffPlot(fileRun=defaultFile, baseFile=defaultPathStnd+defaultFile, modelFile=defaultPathStnd+defaultFile, savePath=defaultSave, level=defaultIp1, species=defaultSpc, buffering = buff, mapType=defaultDiffCmap, reverse=False, extension='neither', projType='stere', vmin=None, vmax=None, totalBins=defaultBins,partName='test',removed=defaultClear):
""" Execute difference plot creation. """
logging.basicConfig(filename='ConcentrationPlotter.log', level=logging.DEBUG,format='%(asctime)s %(message)s')
# print the min number of messages produced by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# get the data for the standard first, close file to continue
concDataStnd = getConc(baseFile,level,species)
if concDataStnd == None:
return None
else:
gridStnd = getGrid(concDataStnd['dataKey'],concDataStnd['fileID'])
closeFST(concDataStnd['fileID'])
# get the data for the alternative, close file to continue
concDataAlt = getConc(modelFile,level,species)
if concDataAlt == None:
return None
else:
gridAlt = getGrid(concDataAlt['dataKey'],concDataAlt['fileID'])
closeFST(concDataAlt['fileID'])
# get the difference between the datasets
diffData = concDiff(concDataStnd['concData'],concDataAlt['concData'])
# check that the grid sizes make sense
gridCheck(gridStnd['gridll'],gridAlt['gridll'])
# minor cleanup
cmapDetails = cmapType(mapType,reverse)
makeDir(savePath)
# plot and save the figure
plotConc(diffData, gridStnd['lonData'], gridStnd['latData'], savePath, fileRun, projType, level, species,cmapDetails, totalBins, vmin, vmax, extension, partName,removed,buffering)
def test_fsteff_list_rec(self):
"""fsteff accept list and dict as input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
keylist = rmn.fstinl(funit)
rmn.fsteff(keylist)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname,rmn.FST_RO)
kla = rmn.fstinf(funit,nomvar='LA')
klo = rmn.fstinf(funit,nomvar='LO')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(kla,None,'LA found after delete: '+repr(kla))
self.assertEqual(klo,None,'LO found after delete: '+repr(klo))
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
klo = rmn.fstinf(funit,nomvar='LO')
rmn.fsteff(klo)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname,rmn.FST_RO)
klo = rmn.fstinf(funit,nomvar='LO')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(klo,None,'LO found after delete: '+repr(klo))
def test_14bqd(self):
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileId = rmn.fstopenall(CMCGRIDF+'/prog/regpres/'+fdate, rmn.FST_RO)
v = vgd.vgd_read(fileId)
(tlvlkeys, rshape) = ([], None)
for ip1 in vgd.vgd_get(v, 'VIPT'):
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId, nomvar='TT', ip2=48, ip1=rmn.ip1_all(lval, lkind))
if key is not None: tlvlkeys.append((ip1, key['key']))
if rshape is None and key is not None: rshape = key['shape']
(r2d, r3d, k, rshape) = ({'d' : None}, None, 0, (rshape[0], rshape[1], len(tlvlkeys)))
for ip1, key in tlvlkeys:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
rmn.fstcloseall(fileId)
r3d.update({'vgd':v, 'ip1list':[x[0] for x in tlvlkeys], 'shape':rshape, 'nk':rshape[2]})
(i1, j1) = (rshape[0]//2, rshape[1]//2)
print("CB14bqd: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in xrange(rshape[2]):
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, r3d['ip1list'][k])
print("CB14bqd: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]" %
(i1, j1, ldiagval, rmn.kindToString(ldiagkind), r3d['d'][i1,j1,k],
r3d['d'][:,:,k].mean(), r3d['d'][:,:,k].std(), r3d['d'][:,:,k].min(), r3d['d'][:,:,k].max()))
def test_ezqkdef_file_ezgprm_ezgfstp(self):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/geophy.fst')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
(ni,nj) = (201,100)
gp = {
'shape' : (ni,nj),
'ni' : ni,
'nj' : nj,
'grtyp' : 'Z',
'ig1' : 2002,
'ig2' : 1000,
'ig3' : 0,
'ig4' : 0,
'grref' : 'E',
'ig1ref' : 900,
'ig2ref' : 0,
'ig3ref' : 43200,
'ig4ref' : 43200,
'iunit' : funit
}
gid1 = rmn.ezqkdef(gp)
a = rmn.ezgfstp(gid1)
rmn.fstcloseall(funit)
self.assertTrue(gid1>=0)
gp['id'] = gid1
gprm = rmn.ezgxprm(gid1)
for k in gprm.keys():
self.assertEqual(gp[k],gprm[k])
self.assertEqual(a['nomvarx'].strip(),'>>')
self.assertEqual(a['nomvary'].strip(),'^^')
rmn.gdrls(gid1)
def getID(filePath):
''' Returns the ID of the fst file provided by the filePath. '''
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# open file to process
fileID = rmn.fstopenall(filePath, rmn.FST_RW)
return fileID
def test_12(self):
"""
Queries: Get Data and Meta
This example shows how to
* get the data of all records matching selection creterions
* then print statistics
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstluk
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.DecodeIp
rpnpy.librmn.fstd98.kindToString
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open all RPNStd files in the $ATM_MODEL_DFILES/bcmk/ directory
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the list of record keys matching nomvar='TT'
keylist = rmn.fstinl(fileId, nomvar='TT', ip2=12)
for k in keylist:
# Get the record meta data
r = rmn.fstluk(k)
d = r['d']
# Decode level info and Print statistics
rp1 = rmn.DecodeIp(r['ip1'], r['ip2'], r['ip3'])[0]
level = "%f %s" % (rp1.v1, rmn.kindToString(rp1.kind))
print(
"CB12: %s (level=%s, ip2=%d) mean=%f, std=%f, min=%f, max=%f"
% (r['nomvar'], level, r['ip2'], d.mean(), d.std(),
d.min(), d.max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_12(self):
"""
Queries: Get Data and Meta
This example shows how to
* get the data of all records matching selection creterions
* then print statistics
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstinl
rpnpy.librmn.fstd98.fstprm
rpnpy.librmn.fstd98.fstluk
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.DecodeIp
rpnpy.librmn.fstd98.kindToString
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open all RPNStd files in the $ATM_MODEL_DFILES/bcmk/ directory
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the list of record keys matching nomvar='TT'
keylist = rmn.fstinl(fileId, nomvar='TT', ip2=12)
for k in keylist:
# Get the record meta data
r = rmn.fstluk(k)
d = r['d']
# Decode level info and Print statistics
rp1 = rmn.DecodeIp(r['ip1'], r['ip2'], r['ip3'])[0]
level = "%f %s" % (rp1.v1, rmn.kindToString(rp1.kind))
print("CB12: %s (level=%s, ip2=%d) mean=%f, std=%f, min=%f, max=%f" %
(r['nomvar'], level, r['ip2'], d.mean(), d.std(), d.min(), d.max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_14(self):
"""
Queries: Get Vertical Grid Info
This example shows how to get the vertical grid definition and print some info.
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.kindToString
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_get
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open file
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileName = os.path.join(CMCGRIDF, 'prog', 'regpres', fdate)
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the vgrid definition present in the file
v = vgd.vgd_read(fileId)
# Get Some info about the vgrid
vkind = vgd.vgd_get(v, 'KIND')
vver = vgd.vgd_get(v, 'VERS')
ip1diagt = vgd.vgd_get(v, 'DIPT')
tlvl = vgd.vgd_get(v, 'VIPT')
VGD_KIND_VER_INV = dict((v, k) for k, v in vgd.VGD_KIND_VER.iteritems())
vtype = VGD_KIND_VER_INV[(vkind,vver)]
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1diagt)
print("CB14: Found vgrid type=%s (kind=%d, vers=%d) with %d levels and diag level=%7.2f%s (ip1=%d)" %
(vtype, vkind, vver, len(tlvl), ldiagval, rmn.kindToString(ldiagkind), ip1diagt))
except:
raise
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_12qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES+'/bcmk', rmn.FST_RO)
for k in rmn.fstinl(fileId, nomvar='TT', ip2=2):
r = rmn.fstluk(k)
print("CB12qd: %s (ip1=%s, ip2=%d) mean=%f, std=%f, min=%f, max=%f" %
(r['nomvar'], r['ip1'], r['ip2'], r['d'].mean(), r['d'].std(), r['d'].min(), r['d'].max()))
rmn.fstcloseall(fileId)
def test_12qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES + '/bcmk', rmn.FST_RO)
for k in rmn.fstinl(fileId, nomvar='TT', ip2=2):
r = rmn.fstluk(k)
print(
"CB12qd: %s (ip1=%s, ip2=%d) mean=%f, std=%f, min=%f, max=%f" %
(r['nomvar'], r['ip1'], r['ip2'], r['d'].mean(), r['d'].std(),
r['d'].min(), r['d'].max()))
rmn.fstcloseall(fileId)
def plotTwo(paramsBase=paramsBase, paramsAlt=paramsAlt, savePath=saveLoc):
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
filePath1, spc1, area1, title1 = paramsBase['filePath'], paramsBase[
'spc'], paramsBase['area'], paramsBase['title']
filePath2, spc2, area2, title2 = paramsAlt['filePath'], paramsAlt[
'spc'], paramsAlt['area'], paramsAlt['title']
fileID1 = openFile(filePath1)
gridKey1 = getKey(fileID1, spc1, 76696048)
gridData1, lonData1, latData1 = getGridData(fileID1, gridKey1)
try:
areaType1 = paramsBase['type']
if areaType1 == 'n':
niRange1, njRange1 = [area1['LL'][0], area1['UR'][0]
], [area1['LL'][1], area1['UR'][1]]
else:
print('Getting the fuzzies!')
LLni, LLnj = getFuzzyNiNj(area1['LL'][0], area1['LL'][1],
gridData1)
URni, URnj = getFuzzyNiNj(area1['UR'][0], area1['UR'][1],
gridData1)
niRange1, njRange1 = [LLni, URni], [LLnj, URnj]
print(niRange1, njRange1)
except: #default to ninj type, only will get if lon/lat failed to get ninj values
niRange1, njRange1 = [0, len(lonData1)], [0, len(lonData1[0])]
fileID2 = openFile(filePath2)
gridKey2 = getKey(fileID2, spc2, 76696048)
gridData2, lonData2, latData2 = getGridData(fileID2, gridKey2)
try:
areaType2 = paramsAlt['type']
if areaType2 == 'n':
niRange2, njRange2 = [area2['LL'][0], area2['UR'][0]
], [area2['LL'][1], area2['UR'][1]]
else:
print('Getting the fuzzies again!')
LLni, LLnj = getFuzzyNiNj(area2['LL'][0], area2['LL'][1],
gridData2)
URni, URnj = getFuzzyNiNj(area2['UR'][0], area2['UR'][1],
gridData2)
niRange2, njRange2 = [LLni, URni], [LLnj, URnj]
except: #default to ninj type, only will get if lon/lat failed to get ninj values
niRange2, njRange2 = [0, len(lonData2)], [0, len(lonData2[0])]
hyList1, concList1 = getPlotValues(fileID1, ip1List, spc1, niRange1,
njRange1)
hyList2, concList2 = getPlotValues(fileID2, ip1List, spc2, niRange2,
njRange2)
print('The ni and nj range are: [{},{}], [{},{}]'.format(
niRange1, njRange1, niRange2, njRange2))
plotStackVP(concList1, concList2, hyList1, hyList2, title1, title2, spc1,
area1, savePath)
def test_fstecr_fstluk_order(self):
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
fname = '__rpnstd__testfile2__.fst'
try:
os.unlink(fname)
except:
pass
funit = rmn.fstopenall(fname, rmn.FST_RW)
(ig1, ig2, ig3, ig4) = rmn.cxgaig(self.grtyp, self.xg14[0],
self.xg14[1], self.xg14[2],
self.xg14[3])
(ni, nj) = (90, 45)
la = rmn.FST_RDE_META_DEFAULT.copy()
la.update({
'nomvar': 'LA',
'typvar': 'C',
'ni': ni,
'nj': nj,
'nk': 1,
'grtyp': self.grtyp,
'ig1': ig1,
'ig2': ig2,
'ig3': ig3,
'ig4': ig4
})
lo = la.copy()
lo['nomvar'] = 'LO'
#Note: For the order to be ok in the FSTD file, order='FORTRAN' is mandatory
la['d'] = np.empty((ni, nj), dtype=np.float32, order='FORTRAN')
lo['d'] = np.empty((ni, nj), dtype=np.float32, order='FORTRAN')
for j in range(nj):
for i in range(ni):
lo['d'][i, j] = 100. + float(i)
la['d'][i, j] = float(j)
rmn.fstecr(funit, la['d'], la)
rmn.fstecr(funit, lo)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(fname, rmn.FST_RW)
kla = rmn.fstinf(funit, nomvar='LA')['key']
la2 = rmn.fstluk(kla) #,rank=2)
klo = rmn.fstinf(funit, nomvar='LO')['key']
lo2 = rmn.fstluk(klo) #,rank=2)
rmn.fstcloseall(funit)
try:
os.unlink(fname)
except:
pass
self.assertTrue(np.isfortran(la2['d']))
self.assertTrue(np.isfortran(lo2['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
self.assertFalse(np.any(np.fabs(lo2['d'] - lo['d']) > self.epsilon))
def test_fstecr_fstluk_order(self):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
fname = '__rpnstd__testfile2__.fst'
try:
os.unlink(fname)
except:
pass
funit = rmn.fstopenall(fname,rmn.FST_RW)
(ig1,ig2,ig3,ig4) = rmn.cxgaig(self.grtyp,self.xg14[0],self.xg14[1],self.xg14[2],self.xg14[3])
(ni,nj) = (90,45)
la = rmn.FST_RDE_META_DEFAULT.copy()
la.update(
{'nomvar' : 'LA',
'typvar' : 'C',
'ni' : ni,
'nj' : nj,
'nk' : 1,
'grtyp' : self.grtyp,
'ig1' : ig1,
'ig2' : ig2,
'ig3' : ig3,
'ig4' : ig4
}
)
lo = la.copy()
lo['nomvar'] = 'LO'
#Note: For the order to be ok in the FSTD file, order='FORTRAN' is mandatory
la['d'] = np.empty((ni,nj),dtype=np.float32,order='FORTRAN')
lo['d'] = np.empty((ni,nj),dtype=np.float32,order='FORTRAN')
for j in xrange(nj):
for i in xrange(ni):
lo['d'][i,j] = 100.+float(i)
la['d'][i,j] = float(j)
rmn.fstecr(funit,la['d'],la)
rmn.fstecr(funit,lo)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(fname,rmn.FST_RW)
kla = rmn.fstinf(funit,nomvar='LA')['key']
la2 = rmn.fstluk(kla)#,rank=2)
klo = rmn.fstinf(funit,nomvar='LO')['key']
lo2 = rmn.fstluk(klo)#,rank=2)
rmn.fstcloseall(funit)
try:
os.unlink(fname)
except:
pass
self.assertTrue(np.isfortran(la2['d']))
self.assertTrue(np.isfortran(lo2['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
self.assertFalse(np.any(np.fabs(lo2['d'] - lo['d']) > self.epsilon))
def test_13(self):
"""
Queries: Get Horizontal Grid info
This example shows how to get the horizontal grid definition (including
axes and ezscint id) from a previsouly read record
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open file
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk', 'geophy.fst')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get/read the MG record
r = rmn.fstlir(fileId, nomvar='ME')
# Get the grid definition of the record
g = rmn.readGrid(fileId, r)
print("CB13: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'],
g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_14bqd(self):
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileId = rmn.fstopenall(CMCGRIDF + '/prog/regpres/' + fdate,
rmn.FST_RO)
v = vgd.vgd_read(fileId)
(tlvlkeys, rshape) = ([], None)
for ip1 in vgd.vgd_get(v, 'VIPT'):
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId,
nomvar='TT',
ip2=48,
ip1=rmn.ip1_all(lval, lkind))
if key is not None: tlvlkeys.append((ip1, key['key']))
if rshape is None and key is not None: rshape = key['shape']
(r2d, r3d, k, rshape) = ({
'd': None
}, None, 0, (rshape[0], rshape[1], len(tlvlkeys)))
for ip1, key in tlvlkeys:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
rmn.fstcloseall(fileId)
r3d.update({
'vgd': v,
'ip1list': [x[0] for x in tlvlkeys],
'shape': rshape,
'nk': rshape[2]
})
(i1, j1) = (rshape[0] // 2, rshape[1] // 2)
print("CB14bqd: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in range(rshape[2]):
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE,
r3d['ip1list'][k])
print(
"CB14bqd: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]"
% (i1, j1, ldiagval, rmn.kindToString(ldiagkind),
r3d['d'][i1, j1, k], r3d['d'][:, :, k].mean(),
r3d['d'][:, :, k].std(), r3d['d'][:, :, k].min(),
r3d['d'][:, :, k].max()))
def test_13(self):
"""
Queries: Get Horizontal Grid info
This example shows how to get the horizontal grid definition (including
axes and ezscint id) from a previsouly read record
See also:
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstlir
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.grids.readGrid
rpnpy.librmn.const
"""
import os, sys
import rpnpy.librmn.all as rmn
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open file
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileName = os.path.join(ATM_MODEL_DFILES, 'bcmk','geophy.fst')
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get/read the MG record
r = rmn.fstlir(fileId, nomvar='ME')
# Get the grid definition of the record
g = rmn.readGrid(fileId, r)
print("CB13: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
def test_fstvoi_fstversion(self):
"""fstvoi, fst_version should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
## ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
## myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/2009042700_000')
## funit = rmn.fstopenall(myfile,rmn.FST_RO)
rmn.fstvoi(funit)
rmn.fstvoi(funit,'NINJNK+GRIDINFO')
rmn.fstcloseall(funit)
self.erase_testfile()
a = rmn.fst_version()
self.assertEqual(a,200001)
def test_fstvoi_fstversion(self):
"""fstvoi, fst_version should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
## ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
## myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/2009042700_000')
## funit = rmn.fstopenall(myfile,rmn.FST_RO)
rmn.fstvoi(funit)
rmn.fstvoi(funit, 'NINJNK+GRIDINFO')
rmn.fstcloseall(funit)
self.erase_testfile()
a = rmn.fst_version()
self.assertEqual(a, 200001)
def plotOne(params=paramsBase, savePath = saveLoc):
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
filePath, spc, area, title = params['filePath'], params['spc'], params['area'], params['title']
fileID = openFile(filePath)
gridKey = getKey(fileID, spc, 76696048)
gridData, lonData, latData = getGridData(fileID, gridKey)
try:
areaType = params['type']
if areaType == 'n':
ni, nj = area[0], area[1]
else:
ni, nj = getFuzzyNiNj(area[0], area[1], gridData)
except: #default to ninj type, only will get if lon/lat failed to get ninj values
ni, nj = area[0], area[1]
hyList, concList = getPlotValues(ip1List, spc, ni, nj)
plotVP(concList, hyList, title, spc, savePath)
def test_13qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES+'/bcmk/geophy.fst', rmn.FST_RO)
r = rmn.fstlir(fileId, nomvar='ME')
g = rmn.readGrid(fileId, r)
print("CB13qd: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
rmn.fstcloseall(fileId)
def test_fsteditdir_fsteff(self):
"""fst_edit_dir should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
kla = rmn.fstinf(funit,nomvar='LA')['key']
klo = rmn.fstinf(funit,nomvar='LO')['key']
istat = rmn.fst_edit_dir(klo,nomvar='QW')
istat = rmn.fsteff(kla)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname,rmn.FST_RO)
kla = rmn.fstinf(funit,nomvar='LA')
klo = rmn.fstinf(funit,nomvar='QW')['key']
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(kla,None,'LA found after delete: '+repr(kla))
self.assertNotEqual(klo,None,'QW not found after rename: '+repr(klo))
def test_isfst_openall_dir_fstnbr(self):
"""isfst_openall__dir_fstnbr should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
## rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST,rmn.FSTOP_GET)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
mydir = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/')
funit = rmn.fstopenall(mydir,rmn.FILE_MODE_RO)
self.assertTrue(funit>0,'fstopenall should return a valid file unit')
reclist = rmn.fstinl(funit,nomvar='VF')
self.assertEqual(len(reclist),26,' fstinl of VF found %d/26 rec ' % len(reclist))
#Note: fstnbr does not work on linked files...
## nrec = rmn.fstnbrv(funit)
## self.assertEqual(nrec,9999,' fstnbrv found %d/???? rec ' % nrec)
rmn.fstcloseall(funit)
def test_13qd(self):
import os, sys
import rpnpy.librmn.all as rmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES').strip()
fileId = rmn.fstopenall(ATM_MODEL_DFILES + '/bcmk/geophy.fst',
rmn.FST_RO)
r = rmn.fstlir(fileId, nomvar='ME')
g = rmn.readGrid(fileId, r)
print("CB13qd: %s grtyp/ref=%s/%s, ni/nj=%d,%d, gridID=%d" %
(r['nomvar'], g['grtyp'], g['grref'], g['ni'], g['nj'], g['id']))
print(" lat0/lon0 =%f, %f" % (g['lat0'], g['lon0']))
print(" ldlat/dlon =%f, %f" % (g['dlat'], g['dlon']))
print(" xlat`/xlon1=%f, %f; xlat2/xlon2=%f, %f" %
(g['xlat1'], g['xlon1'], g['xlat2'], g['xlon2']))
print(" ax: min=%f, max=%f; ay: min=%f, max=%f" %
(g['ax'].min(), g['ax'].max(), g['ay'].min(), g['ay'].max()))
rmn.fstcloseall(fileId)
def test_fstlir_fstlirx_fstlir_witharray(self):
"""fstlir_fstlirx_fstlir_witharray should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/2009042700_000')
funit = rmn.fstopenall(myfile, rmn.FST_RO)
k = rmn.fstinf(funit)['key']
a = rmn.fstprm(k)
self.assertEqual(
a['nomvar'].strip(), 'P0',
'fstinf/fstprm wrong rec, Got %s expected P0' % (a['nomvar']))
k = rmn.fstsui(funit)['key']
a = rmn.fstprm(k)
self.assertEqual(
a['nomvar'].strip(), 'TT',
'fstsui/fstprm wrong rec, Got %s expected TT' % (a['nomvar']))
k = rmn.fstinf(funit, nomvar='MX')['key']
a = rmn.fstlir(funit)
a = rmn.fstlir(funit, dataArray=a['d'])
self.assertEqual(
a['nomvar'].strip(), 'P0',
'fstlir wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])), 530)
self.assertEqual(int(np.amax(a['d'])), 1039)
k = rmn.fstinf(funit, nomvar='MX')['key']
a = rmn.fstlirx(k, funit, dataArray=a['d'])
self.assertEqual(
a['nomvar'].strip(), 'LA',
'fstlirx wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])), -88)
self.assertEqual(int(np.amax(a['d'])), 88)
a = rmn.fstlis(funit, dataArray=a['d'])
self.assertEqual(
a['nomvar'].strip(), 'LO',
'fstlis wrong rec, Got %s expected P0' % (a['nomvar']))
self.assertEqual(int(np.amin(a['d'])), -180)
self.assertEqual(int(np.amax(a['d'])), 178)
rmn.fstcloseall(funit)
def test_fsteditdir_list_rec(self):
"""fst_edit_dir accept list and dict as input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
keylist = rmn.fstinl(funit)
istat = rmn.fst_edit_dir(keylist, etiket='MY_NEW_ETK')
klo = rmn.fstinf(funit,nomvar='LO')
istat = rmn.fst_edit_dir(klo, nomvar='QW')
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname,rmn.FST_RO)
la = rmn.fstlir(funit,nomvar='LA')
lo = rmn.fstlir(funit,nomvar='QW')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertNotEqual(lo,None,'QW not found after rename: '+repr(klo))
self.assertNotEqual(la['etiket'],'MY_NEW_ETK')
self.assertNotEqual(lo['etiket'],'MY_NEW_ETK')
def test_fsteditdir_fsteff(self):
"""fst_edit_dir should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
kla = rmn.fstinf(funit, nomvar='LA')['key']
klo = rmn.fstinf(funit, nomvar='LO')['key']
istat = rmn.fst_edit_dir(klo, nomvar='QW')
istat = rmn.fsteff(kla)
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname, rmn.FST_RO)
kla = rmn.fstinf(funit, nomvar='LA')
klo = rmn.fstinf(funit, nomvar='QW')['key']
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(kla, None, 'LA found after delete: ' + repr(kla))
self.assertNotEqual(klo, None,
'QW not found after rename: ' + repr(klo))
def concPlot(fileRun=defaultFile, modelFile=defaultPathStnd+defaultFile, savePath=defaultSave, level=defaultIp1, species=defaultSpc, buffering=buff, mapType=defaultConcCmap, reverse=False, extension='neither', projType='stere', vmin=None, vmax=None, totalBins=defaultBins, partName='test', removed=defaultClear):
""" Execute the concentration plot creation. """
logging.basicConfig(filename='ConcentrationPlotter.log', level=logging.DEBUG,format='%(asctime)s %(message)s')
# print the min number of messages produced by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# get concentration and grid data, then close file
concData = getConc(modelFile,level,species)
if concData == None:
return None
else:
gridData = getGrid(concData['dataKey'],concData['fileID'])
closeFST(concData['fileID'])
# minor cleanup
cmapDetails =cmapType(mapType, reverse)
makeDir(savePath)
# plot and save the figure
plotConc(concData['concData'], gridData['lonData'], gridData['latData'], savePath, fileRun, projType, level, species, cmapDetails, totalBins, vmin, vmax, extension, partName, removed, buffering)
def test_isfst_openall_dir_fstnbr(self):
"""isfst_openall__dir_fstnbr should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
## rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST,rmn.FSTOP_GET)
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
mydir = os.path.join(ATM_MODEL_DFILES.strip(), 'bcmk/')
funit = rmn.fstopenall(mydir, rmn.FILE_MODE_RO)
self.assertTrue(funit > 0,
'fstopenall should return a valid file unit')
reclist = rmn.fstinl(funit, nomvar='VF')
self.assertEqual(len(reclist), 26,
' fstinl of VF found %d/26 rec ' % len(reclist))
#Note: fstnbr does not work on linked files...
## nrec = rmn.fstnbrv(funit)
## self.assertEqual(nrec,9999,' fstnbrv found %d/???? rec ' % nrec)
rmn.fstcloseall(funit)
def test_fsteditdir_list_rec(self):
"""fst_edit_dir accept list and dict as input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
keylist = rmn.fstinl(funit)
istat = rmn.fst_edit_dir(keylist, etiket='MY_NEW_ETK')
klo = rmn.fstinf(funit, nomvar='LO')
istat = rmn.fst_edit_dir(klo, nomvar='QW')
rmn.fstcloseall(funit)
funit = rmn.fstopenall(self.fname, rmn.FST_RO)
la = rmn.fstlir(funit, nomvar='LA')
lo = rmn.fstlir(funit, nomvar='QW')
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertNotEqual(lo, None,
'QW not found after rename: ' + repr(klo))
self.assertNotEqual(la['etiket'], 'MY_NEW_ETK')
self.assertNotEqual(lo['etiket'], 'MY_NEW_ETK')
def plotOne(params=paramsBase, savePath=saveLoc):
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
filePath, spc, area, title = params['filePath'], params['spc'], params[
'area'], params['title']
fileID = openFile(filePath)
gridKey = getKey(fileID, spc, 76696048)
gridData, lonData, latData = getGridData(fileID, gridKey)
try:
areaType = params['type']
if areaType == 'n':
niRange, njRange = [area['LL'][0],
area['UR'][0]], [area['LL'][1], area['UR'][1]]
else:
LLni, LLnj = getFuzzyNiNj(area['LL'][0], area['LL'][1], gridData)
URni, URnj = getFuzzyNiNj(area['UR'][0], area['UR'][1], gridData)
niRange, njRange = [LLni, URni], [LLnj, URnj]
except: #default to ninj type, only will get if lon/lat failed to get ninj values
niRange, njRange = [0, len(lonData)], [0, len(lonData[0])]
hyList, concList = getPlotValues(ip1List, spc, niRange, njRange)
print('The ni and nj range are: [{},{}]'.format(niRange, njRange))
plotVP(concList, hyList, title, spc, area, savePath)
def test_fstecr_fstinf_fstluk(self):
"""fstinf, fstluk should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
(la, lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
a = rmn.isFST(self.fname)
self.assertTrue(a)
funit = rmn.fstopenall(self.fname, rmn.FST_RW)
nrec = rmn.c_fstnbrv(funit)
keylist = rmn.fstinl(funit)
kla = rmn.fstinf(funit, nomvar='LA')['key']
la2prm = rmn.fstprm(kla) #,rank=2)
la2 = rmn.fstluk(kla) #,rank=2)
klo = rmn.fstinf(funit, nomvar='LO')
lo2 = rmn.fstluk(klo) #,rank=2)
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(nrec, 2, ' c_fstnbrv found %d/2 rec ' % nrec)
self.assertEqual(
len(keylist), 2,
'fstinl found %d/2 rec: %s' % (len(keylist), repr(keylist)))
self.assertEqual(la2['nomvar'].strip(), la['nomvar'].strip())
self.assertEqual(lo2['nomvar'].strip(), lo['nomvar'].strip())
self.assertEqual(la2['d'].shape, la['d'].shape)
self.assertEqual(lo2['d'].shape, lo['d'].shape)
if np.any(np.fabs(la2['d'] - la['d']) > self.epsilon):
print('la2:', la2['d'])
print('la :', la['d'])
print(np.fabs(la2['d'] - la['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
if np.any(np.fabs(lo2['d'] - lo['d']) > self.epsilon):
print('lo2:', lo2['d'])
print('lo :', lo['d'])
print(np.fabs(lo2['d'] - lo['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
def test_isfst_openall_fstnbr(self):
"""isfst_openall_fstnbr should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
## rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST,rmn.FSTOP_GET)
HOME = os.getenv('HOME')
a = rmn.isFST(os.path.join(HOME.strip(),'.profile'))
self.assertFalse(a,'isFST should return false on non FST files')
ATM_MODEL_DFILES = os.getenv('ATM_MODEL_DFILES')
myfile = os.path.join(ATM_MODEL_DFILES.strip(),'bcmk/2009042700_000')
a = rmn.isFST(myfile)
self.assertTrue(a,'isFST should return true on FST files')
funit = rmn.fstopenall(myfile,rmn.FST_RO)
self.assertTrue(funit>0,'fstopenall should return a valid file unit')
nrec = rmn.c_fstnbrv(funit)
self.assertEqual(nrec,1083,' c_fstnbrv found %d/1083 rec ' % nrec)
nrec = rmn.fstnbrv(funit)
self.assertEqual(nrec,1083,' fstnbrv found %d/1083 rec ' % nrec)
rmn.fstcloseall(funit)
def test_fstecr_fstinf_fstluk(self):
"""fstinf, fstluk should give known result with known input"""
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
(la,lo) = self.create_basefile() #wrote 2 recs in that order: la, lo
a = rmn.isFST(self.fname)
self.assertTrue(a)
funit = rmn.fstopenall(self.fname,rmn.FST_RW)
nrec = rmn.c_fstnbrv(funit)
keylist = rmn.fstinl(funit)
kla = rmn.fstinf(funit,nomvar='LA')['key']
la2prm = rmn.fstprm(kla)#,rank=2)
la2 = rmn.fstluk(kla)#,rank=2)
klo = rmn.fstinf(funit,nomvar='LO')
lo2 = rmn.fstluk(klo)#,rank=2)
rmn.fstcloseall(funit)
self.erase_testfile()
self.assertEqual(nrec,2,' c_fstnbrv found %d/2 rec ' % nrec)
self.assertEqual(len(keylist),2,'fstinl found %d/2 rec: %s' % (len(keylist),repr(keylist)))
self.assertEqual(la2['nomvar'].strip(),la['nomvar'].strip())
self.assertEqual(lo2['nomvar'].strip(),lo['nomvar'].strip())
self.assertEqual(la2['d'].shape,la['d'].shape)
self.assertEqual(lo2['d'].shape,lo['d'].shape)
if np.any(np.fabs(la2['d'] - la['d']) > self.epsilon):
print('la2:',la2['d'])
print('la :',la['d'])
print(np.fabs(la2['d'] - la['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
if np.any(np.fabs(lo2['d'] - lo['d']) > self.epsilon):
print('lo2:',lo2['d'])
print('lo :',lo['d'])
print(np.fabs(lo2['d'] - lo['d']))
self.assertFalse(np.any(np.fabs(la2['d'] - la['d']) > self.epsilon))
def plotFSTs(season=season, spcs=spcs, spcsFiles=spcsFiles, outputName = outputName, saveDir=saveDir):
# print minimum outputs
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
mInds = []
for m in season:
mInds += [monthList.index(m)]
if os.path.exists(saveDir) == False:
nu.makeDir(saveDir)
for spcInd, nomvar in enumerate(spcs):
try:
filename = os.path.join(saveDir, 'output_file_{0}_{1}.fst'.format(outputName, nomvar))
print('Creating and saving to {}'.format(filename))
tmp = open(filename, 'w+'); tmp.close()
output_file = filename
file_id = rmn.fnom(output_file)
open_fst = rmn.fstouv(file_id, rmn.FST_RW)
open_file = spcsFiles[spcInd]
print "Parameter: " + nomvar
seaSpcData = get_var(pyg.open(open_file), nomvar, mInds)
nc_lnsp = pyg.open(lnsp_file)
pressures = get_pressures(nc_lnsp, mInds)
timelen, levlen, latlen, lonlen = seaSpcData.shape
#NOTE: uncomment the following three lines to prep data for basemap use
#lonShiftSSData = shift_lon(seaSpcData)
#vertInterpSSData = vert_interp(pressures, lonShiftSSData)
#meanSSData = np.mean(vertInterpSSData, axis=0)
#NOTE: uncommment the following four liness to use for fst plotting
vertInterpSSData = vert_interp(pressures, seaSpcData)
meanSSData = np.mean(vertInterpSSData, axis=0) # temp
for lvl, ray in enumerate(meanSSData):
meanSSData[lvl] = np.flipud(ray)
scaleFac = scaleSpcs[allSpcs.index(nomvar)]
scaledSSData = meanSSData*scaleFac
#define grid for this file - note that the MACC grid in the file is
#defined for lons -180 to 180, but the python defGrid_L can't deal
#with that and defines the grid from 0 to 360 so will have to reorder
#the MACC fields a bit, or they end up 180 deg out of phase
# Also necessary to add one more longitude to wrap around
dlatlon = 360./lonlen # this is equal to the resolution of the grid
params0 = {
'grtyp' : 'Z',
'grref' : 'L',
'nj' : latlen,
'ni' : lonlen,
'lat0' : -90.,
'lon0' : 0.,
'dlat' : dlatlon,
'dlon' : dlatlon
}
MACC_grid= rmn.encodeGrid(params0)
print("Grids created.")
print 'Grid Shape:' + str(MACC_grid['shape'])
# copies the default record
new_record = rmn.FST_RDE_META_DEFAULT.copy()
tic_record = rmn.FST_RDE_META_DEFAULT.copy()
tac_record = rmn.FST_RDE_META_DEFAULT.copy()
try:
rmn.writeGrid(file_id, MACC_grid)
tac = rmn.fstinl(file_id, nomvar='>>')[0]
tic = rmn.fstinl(file_id, nomvar='^^')[0]
tic_record.update(rmn.fstprm(tic))
tac_record.update(rmn.fstprm(tac))
tic_record.update({'datyp' : rmn.FST_DATYP_LIST['float']})
tac_record.update({'datyp' : rmn.FST_DATYP_LIST['float']})
rmn.fsteff(tic)
rmn.fsteff(tac)
tic_record.update({'d': MACC_grid['ay']})
tac_record.update({'d': MACC_grid['ax']})
toc_record = vgd.vgd_new_pres(const_pressure, ip1=MACC_grid['ig1'], ip2=MACC_grid['ig2'])
rmn.fstecr(file_id, tic_record) # write the dictionary record to the file as a new record
rmn.fstecr(file_id, tac_record) # write the dictionary record to the file as a new record
vgd.vgd_write(toc_record, file_id)
except:
raise
for rp1 in xrange(len(const_pressure)): # writes a record for every level (as a different ip1)
try:
# converts rp1 into a ip1 with pressure kind
ip1 = rmn.convertIp(rmn.CONVIP_ENCODE, const_pressure[rp1], rmn.KIND_PRESSURE)
new_record.update(MACC_grid)
new_record.update({ # Update with specific meta
'nomvar': nomvar,
'typvar': 'C',
'etiket': 'MACCRean',
'ni' : MACC_grid['ni'],
'nj' : MACC_grid['nj'],
'ig1' : tic_record['ip1'],
'ig2' : tic_record['ip2'],
'ig3' : tic_record['ip3'],
'ig4' : tic_record['ig4'],
'dateo' : rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20120101, 0000000),
'deet' : 0, # Timestep in sec
'ip1' : ip1
})
#tmp_nparray = np.asfortranarray(monthly_mean[rp1])
tmp = scaledSSData[rp1]
tmp = np.transpose(tmp)
# data array is structured as tmp = monthly_mean[level] where monthly_mean is [level, lat, lon]
new_record.update({'d': tmp.astype(np.float32)}) # Updates with data array in the form (lon x lat)
print "Defined a new record with dimensions ({0}, {1})".format(new_record['ni'], new_record['nj'])
rmn.fstecr(file_id, new_record) # write the dictionary record to the file as a new record
except:
#rmn.closeall(file_id)
rmn.fstfrm(file_id)
rmn.fclos(file_id)
raise
rmn.fstfrm(file_id)
rmn.fclos(file_id)
print('{} complete~'.format(filename))
except:
rmn.fstfrm(file_id)
rmn.fclos(file_id)
raise
print('Finished plotting all FSTs. ')
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" %
fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict(
(v, k) for k, v in vgd.VGD_KIND_VER.items())
vtype = VGD_KIND_VER_INV[(vkind, vver)]
print(
"CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s"
% (vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn,
nomvar='TT',
ip2=hour,
ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d': None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape,
dtype=r2d['d'].dtype,
order='FORTRAN')
r3d['d'][:, :, k] = r2d['d'][:, :]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print(
"CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]"
% (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500., 850., 1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print(
"CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pIn[:, :, 0].min(), pIn[:, :, 0].max(), pIn[:, :, -1].min(),
pIn[:, :, -1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print(
"CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]"
% (pOut[:, :, 0].min(), pOut[:, :, 0].max(),
pOut[:, :, -1].min(), pOut[:, :, -1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in range(rshape[1]):
## for i in range(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def test_41(self):
"""
Horizontal Interpolation
See also:
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'p0fstfile.fst'
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
try:
# Create Destination grid
# Note: Destination grid can also be read from a file
gp = {
'grtyp': 'Z',
'grref': 'E',
'ni': 90,
'nj': 45,
'lat0': 35.,
'lon0': 250.,
'dlat': 0.5,
'dlon': 0.5,
'xlat1': 0.,
'xlon1': 180.,
'xlat2': 1.,
'xlon2': 270.
}
gOut = rmn.encodeGrid(gp)
print("CB41: Defined a %s/%s grid of shape=%d, %d" %
(gOut['grtyp'], gOut['grref'], gOut['ni'], gOut['nj']))
except:
sys.stderr.write("Problem creating grid\n")
sys.exit(1)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" %
(fileNameIn, fileNameOut))
sys.exit(1)
try:
# Find and read record to interpolate with its grid
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
print("CB41: Read P0")
# Set interpolation options and interpolate
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
print("CB41: Interpolate P0")
# Create new record to write with interpolated data and
r2 = r.copy() # Preserve meta from original record
r2.update(gOut) # update grid information
r2.update({ # attach data and update specific meta
'etiket': 'my_etk',
'd': d
})
# Write record data + meta + grid to file
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
print("CB41: Wrote interpolated P0 and its grid")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_14b(self):
"""
Queries: Get Vertical Grid info, Read 3D Field
This example shows how to
* get the vertical grid definition.
* use it to read a 3D field (records on all levels)
* then print a profile for this var
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fstlinf
rpnpy.librmn.fstd98.fstlluk
rpnpy.librmn.fstd98.convertIp
rpnpy.librmn.fstd98.kindToString
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_get
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open file
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileName = os.path.join(CMCGRIDF, 'prog', 'regpres', fdate)
try:
fileId = rmn.fstopenall(fileName, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the file: %s\n" % fileName)
sys.exit(1)
try:
# Get the vgrid definition present in the file
v = vgd.vgd_read(fileId)
# Get the list of ip1 on thermo levels in this file
tlvl = vgd.vgd_get(v, 'VIPT')
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
tlvlkeys = []
rshape = None
for ip1 in tlvl:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileId, nomvar='TT', ip2=48, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
tlvlkeys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(tlvlkeys))
# Read every level for TT at ip2=48, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
# Note that for efficiency reasons, if only a profile was needed,
# only that profile would be saved instead of the whole 3d field
r2d = {'d' : None}
r3d = None
k = 0
for ip1, key in tlvlkeys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
except:
pass
except:
pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileId)
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = v
r3d['ip1list'] = [x[0] for x in tlvlkeys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Print a profile of TT and stats by level
(i1, j1) = (rshape[0]//2, rshape[1]//2)
print("CB14b: The TT profile at point (%d, %d) is:" % (i1, j1))
for k in xrange(rshape[2]):
ip1 = r3d['ip1list'][k]
(ldiagval, ldiagkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
print("CB14b: TT(%d, %d, %7.2f %s) = %6.1f C [mean=%6.1f, std=%6.1f, min=%6.1f, max=%6.1f]" %
(i1, j1, ldiagval, rmn.kindToString(ldiagkind), r3d['d'][i1,j1,k],
r3d['d'][:,:,k].mean(), r3d['d'][:,:,k].std(), r3d['d'][:,:,k].min(), r3d['d'][:,:,k].max()))
def test_23(self):
"""
Edit: Read, Edit, Write records with meta, grid and vgrid
This example shows how to
* select records in a RPNStd file
* read the record data + meta
* edit/use record data and meta (compute the wind velocity)
* write the recod data + meta
* copy (read/write) the record grid descriptors
* copy (read/write) the file vgrid descriptor
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fsrinl
rpnpy.librmn.fstd98.fsrluk
rpnpy.librmn.fstd98.fsrlir
rpnpy.librmn.fstd98.fsrecr
rpnpy.librmn.grids.readGrid
rpnpy.librmn.grids.writeGrid
rpnpy.vgd.base.vgd_read
rpnpy.vgd.base.vgd_write
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys, datetime
from scipy.constants import knot as KNOT2MS
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'uvfstfile.fst'
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" % (fileNameIn, fileNameOut))
sys.exit(1)
try:
# Copy the vgrid descriptor
v = vgd.vgd_read(fileIdIn)
vgd.vgd_write(v, fileIdOut)
print("CB23: Copied the vgrid descriptor")
# Loop over the list of UU records to copy
uu = {'d': None}
vv = {'d': None}
uvarray = None
copyGrid = True
for k in rmn.fstinl(fileIdIn, nomvar='UU'):
# Read the UU record data and meta from fileNameIn
# Provide data array to re-use memory
uu = rmn.fstluk(k, dataArray=uu['d'])
# Read the corresponding VV
# Provide data array to re-use memory
vv = rmn.fstlir(fileIdIn, nomvar='VV',
ip1=uu['ip1'], ip2=uu['ip2'], datev=uu['datev'],
dataArray=vv['d'])
# Compute the wind modulus in m/s
# Copy metadata from the UU record
# Create / re-use memory space for computation results
uv = uu.copy()
if uvarray is None:
uvarray = np.empty(uu['d'].shape, dtype=uu['d'].dtype, order='FORTRAN')
uv['d'] = uvarray
uv['d'][:,:] = np.sqrt(uu['d']**2. + vv['d']**2.)
uv['d'] *= KNOT2MS # Convert from knot to m/s
# Set new record name and Write it to fileNameOut
uv['nomvar'] = 'WSPD'
rmn.fstecr(fileIdOut, uv)
print("CB23: Wrote %s ip1=%d, ip2=%d, dateo=%s : mean=%f" %
(uv['nomvar'], uv['ip1'], uv['ip2'], uv['dateo'], uv['d'].mean()))
# Read and Write grid (only once, all rec are on the same grid)
if copyGrid:
copyGrid = False
g = rmn.readGrid(fileIdIn, uu)
rmn.writeGrid(fileIdOut, g)
print("CB23: Copied the grid descriptors")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_41(self):
"""
Horizontal Interpolation
See also:
"""
import os, sys, datetime
import rpnpy.librmn.all as rmn
fdate = datetime.date.today().strftime('%Y%m%d') + '00_048'
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameIn = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
fileNameOut = 'p0fstfile.fst'
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
try:
# Create Destination grid
# Note: Destination grid can also be read from a file
gp = {
'grtyp' : 'Z',
'grref' : 'E',
'ni' : 90,
'nj' : 45,
'lat0' : 35.,
'lon0' : 250.,
'dlat' : 0.5,
'dlon' : 0.5,
'xlat1' : 0.,
'xlon1' : 180.,
'xlat2' : 1.,
'xlon2' : 270.
}
gOut = rmn.encodeGrid(gp)
print("CB41: Defined a %s/%s grid of shape=%d, %d" %
(gOut['grtyp'], gOut['grref'], gOut['ni'], gOut['nj']))
except:
sys.stderr.write("Problem creating grid\n")
sys.exit(1)
# Open Files
try:
fileIdIn = rmn.fstopenall(fileNameIn)
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the files: %s, %s\n" % (fileNameIn, fileNameOut))
sys.exit(1)
try:
# Find and read record to interpolate with its grid
r = rmn.fstlir(fileIdIn, nomvar='P0')
gIn = rmn.readGrid(fileIdIn, r)
print("CB41: Read P0")
# Set interpolation options and interpolate
rmn.ezsetopt(rmn.EZ_OPT_INTERP_DEGREE, rmn.EZ_INTERP_LINEAR)
d = rmn.ezsint(gOut, gIn, r)
print("CB41: Interpolate P0")
# Create new record to write with interpolated data and
r2 = r.copy() # Preserve meta from original record
r2.update(gOut) # update grid information
r2.update({ # attach data and update specific meta
'etiket': 'my_etk',
'd' : d
})
# Write record data + meta + grid to file
rmn.fstecr(fileIdOut, r2)
rmn.writeGrid(fileIdOut, gOut)
print("CB41: Wrote interpolated P0 and its grid")
except:
pass
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdIn)
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_24(self):
"""
Edit: New file from scratch
This example shows how to
* Create a record meta and data from scratch
* Create grid descriptors for the data
* Create vgrid descriptor for the data
* write the recod data + meta
* write the grid descriptors
* write the vgrid descriptor
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fsrecr
rpnpy.librmn.fstd98.dtype_fst2numpy
rpnpy.librmn.grids.encodeGrid
rpnpy.librmn.grids.defGrid_ZE
rpnpy.librmn.grids.writeGrid
rpnpy.librmn.base.newdate
rpnpy.vgd.base.vgd_new
rpnpy.vgd.base.vgd_new_pres
rpnpy.vgd.base.vgd_new_get
rpnpy.vgd.base.vgd_write
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
# Create Record grid
gp = {
'grtyp': 'Z',
'grref': 'E',
'ni': 90,
'nj': 45,
'lat0': 35.,
'lon0': 250.,
'dlat': 0.5,
'dlon': 0.5,
'xlat1': 0.,
'xlon1': 180.,
'xlat2': 1.,
'xlon2': 270.
}
g = rmn.encodeGrid(gp)
print("CB24: Defined a %s/%s grid of shape=%d, %d" %
(gp['grtyp'], gp['grref'], gp['ni'], gp['nj']))
# Create Record vgrid
lvls = (500., 850., 1000.)
v = vgd.vgd_new_pres(lvls)
ip1list = vgd.vgd_get(v, 'VIPT')
print("CB24: Defined a Pres vgrid with lvls=%s" % str(lvls))
# Create Record data + meta
datyp = rmn.FST_DATYP_LIST['float_IEEE_compressed']
npdtype = rmn.dtype_fst2numpy(datyp)
rshape = (g['ni'], g['nj'], len(ip1list))
r = rmn.FST_RDE_META_DEFAULT.copy() # Copy default record meta
r.update(g) # Update with grid info
r.update({ # Update with specific meta and data array
'nomvar':
'MASK',
'dateo':
rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20160302, 1800000),
'nk':
len(ip1list),
'ip1':
0, # level, will be set later, level by level
'ip2':
6, # Forecast of 6h
'deet':
3600, # Timestep in sec
'npas':
6, # Step number
'etiket':
'my_etk',
'nbits':
32, # Keep full 32 bits precision for that field
'datyp':
datyp, # datyp (above) float_IEEE_compressed
'd':
np.empty(rshape, dtype=npdtype, order='FORTRAN')
})
print("CB24: Defined a new record of shape=%d, %d" %
(r['ni'], r['nj']))
# Compute record values
r['d'][:, :, :] = 0.
r['d'][10:-11, 5:-6, :] = 1.
# Open Files
fileNameOut = 'newfromscratch.fst'
try:
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the file: %s, %s\n" %
fileNameOut)
sys.exit(1)
# Write record data + meta + grid + vgrid to file
try:
r2d = r.copy()
r2d['nk'] = 1
for k in range(len(ip1list)):
r2d['ip1'] = ip1list[k]
r2d['d'] = np.asfortranarray(r['d'][:, :, k])
rmn.fstecr(fileIdOut, r2d['d'], r2d)
print("CB24: wrote %s at ip1=%d" % (r2d['nomvar'], r2d['ip1']))
rmn.writeGrid(fileIdOut, g)
print("CB24: wrote the grid descriptors")
vgd.vgd_write(v, fileIdOut)
print("CB24: wrote the vgrid descriptor")
except:
raise
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
def test_51(self):
"""
Vertical Interpolation
See also:
scipy.interpolate.interp1d
"""
import os, sys, datetime
import numpy as np
from scipy.interpolate import interp1d as scipy_interp1d
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
MB2PA = 100.
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Open Input file
hour = 48
fdate = datetime.date.today().strftime('%Y%m%d') + '00_0' + str(hour)
CMCGRIDF = os.getenv('CMCGRIDF').strip()
fileNameOut = os.path.join(CMCGRIDF, 'prog', 'regeta', fdate)
try:
fileIdIn = rmn.fstopenall(fileNameOut, rmn.FST_RO)
except:
sys.stderr.write("Problem opening the input file: %s\n" % fileNameOut)
sys.exit(1)
try:
# Get the vgrid def present in the file
# and the full list of ip1
# and the surface reference field name for the coor
vIn = vgd.vgd_read(fileIdIn)
ip1listIn0 = vgd.vgd_get(vIn, 'VIPT')
rfldNameIn = vgd.vgd_get(vIn, 'RFLD')
vkind = vgd.vgd_get(vIn, 'KIND')
vver = vgd.vgd_get(vIn, 'VERS')
VGD_KIND_VER_INV = dict((v, k) for k, v in vgd.VGD_KIND_VER.iteritems())
vtype = VGD_KIND_VER_INV[(vkind,vver)]
print("CB51: Found vgrid type=%s (kind=%d, vers=%d) with %d levels, RFLD=%s" %
(vtype, vkind, vver, len(ip1listIn0), rfldNameIn))
# Trim the list of thermo ip1 to actual levels in files for TT
# since the vgrid in the file is a super set of all levels
# and get their "key"
ip1Keys = []
rshape = None
for ip1 in ip1listIn0:
(lval, lkind) = rmn.convertIp(rmn.CONVIP_DECODE, ip1)
key = rmn.fstinf(fileIdIn, nomvar='TT', ip2=hour, ip1=rmn.ip1_all(lval, lkind))
if key is not None:
print("CB51: Found TT at ip1=%d, ip2=%d" % (ip1, hour))
ip1Keys.append((ip1, key['key']))
if rshape is None:
rshape = key['shape']
rshape = (rshape[0], rshape[1], len(ip1Keys))
# Read every level for TT at ip2=hour, re-use 2d array while reading
# and store the data in a 3d array
# with lower level at nk, top at 0 as in the model
r2d = {'d' : None}
r3d = None
k = 0
gIn = None
for ip1, key in ip1Keys:
try:
r2d = rmn.fstluk(key, dataArray=r2d['d'])
print("CB51: Read TT at ip1=%d, ip2=%d" % (ip1, hour))
if r3d is None:
r3d = r2d.copy()
r3d['d'] = np.empty(rshape, dtype=r2d['d'].dtype, order='FORTRAN')
r3d['d'][:,:,k] = r2d['d'][:,:]
k += 1
if gIn is None:
gIn = rmn.readGrid(fileIdIn, r2d)
print("CB51: Read the horizontal grid descriptors")
except:
pass
# Add the vgrid and the actual ip1 list in the r3d dict, update shape and nk
r3d['vgd'] = vIn
r3d['ip1list'] = [x[0] for x in ip1Keys]
r3d['shape'] = rshape
r3d['nk'] = rshape[2]
# Read the Input reference fields
rfldIn = None
if rfldNameIn:
rfldIn = rmn.fstlir(fileIdIn, nomvar=rfldNameIn, ip2=hour)
if rfldNameIn.strip() == 'P0':
rfldIn['d'][:] *= MB2PA
print("CB51: Read input RFLD=%s at ip2=%d [min=%7.0f, max=%7.0f]" % (rfldNameIn, hour, rfldIn['d'].min(), rfldIn['d'].max()))
except:
raise # pass
finally:
# Close file even if an error occured above
rmn.fstcloseall(fileIdIn)
# Define the destination vertical grid/levels
try:
lvlsOut = (500.,850.,1000.)
vOut = vgd.vgd_new_pres(lvlsOut)
ip1listOut = vgd.vgd_get(vOut, 'VIPT')
rfldNameOut = vgd.vgd_get(vIn, 'RFLD')
rfldOut = None # in this case, Pressure levels, there are no RFLD
print("CB51: Defined a Pres vgrid with lvls=%s" % str(lvlsOut))
except:
sys.stderr.write("Problem creating a new vgrid\n")
sys.exit(1)
# Get input and output 3d pressure cubes
try:
## if rfldIn is None:
## rfldIn =
pIn = vgd.vgd_levels(vIn, ip1list=r3d['ip1list'], rfld=rfldIn['d'])
print("CB51: Computed input pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pIn[:,:,0].min(), pIn[:,:,0].max(), pIn[:,:,-1].min(), pIn[:,:,-1].max()))
if rfldOut is None:
rfldOut = rfldIn # provide a dummy rfld for array shape
pOut = vgd.vgd_levels(vOut, ip1list=ip1listOut, rfld=rfldOut['d'])
print("CB51: Computed output pressure cube, k0:[min=%7.0f, max=%7.0f], nk:[min=%7.0f, max=%7.0f]" % (pOut[:,:,0].min(), pOut[:,:,0].max(), pOut[:,:,-1].min(), pOut[:,:,-1].max()))
except:
raise
sys.stderr.write("Problem computing pressure cubes\n")
sys.exit(1)
# Use scipy.interpolate.interp1d to vertically interpolate
try:
## f = scipy_interp1d(fromLvls, toLvls, kind='cubic',
## assume_sorted=True, bounds_error=False,
## fill_value='extrapolate', copy=False)
## # Unfortunately, looks like interp1d take colomn data
## f = scipy_interp1d(pIn, r3d['d'], kind='cubic',
## bounds_error=False,
## fill_value='extrapolate', copy=False)
## r3dout = f(pOut)
## # Unfortunately, assume_sorted, 'extrapolate' not support in my version
## extrap_value = 'extrapolate' # -99999.
## # Way too slow, needs a C implementation
extrap_value = -999.
## for j in xrange(rshape[1]):
## for i in xrange(rshape[0]):
## f = scipy_interp1d(pIn[i,j,:], r3d['d'][i,j,:],
## kind='cubic',
## bounds_error=False,
## fill_value=extrap_value, copy=False)
## r1d = f(pOut[i,j,:])
## #print i,j,r1d
except:
raise
sys.stderr.write("Problem Interpolating data\n")
sys.exit(1)
def test_24(self):
"""
Edit: New file from scratch
This example shows how to
* Create a record meta and data from scratch
* Create grid descriptors for the data
* Create vgrid descriptor for the data
* write the recod data + meta
* write the grid descriptors
* write the vgrid descriptor
See also:
rpnpy.librmn.fstd98.fstopt
rpnpy.librmn.fstd98.fstopenall
rpnpy.librmn.fstd98.fstcloseall
rpnpy.librmn.fstd98.fsrecr
rpnpy.librmn.fstd98.dtype_fst2numpy
rpnpy.librmn.grids.encodeGrid
rpnpy.librmn.grids.defGrid_ZE
rpnpy.librmn.grids.writeGrid
rpnpy.librmn.base.newdate
rpnpy.vgd.base.vgd_new
rpnpy.vgd.base.vgd_new_pres
rpnpy.vgd.base.vgd_new_get
rpnpy.vgd.base.vgd_write
rpnpy.librmn.const
rpnpy.vgd.const
"""
import os, sys
import numpy as np
import rpnpy.librmn.all as rmn
import rpnpy.vgd.all as vgd
# Restrict to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
# Create Record grid
gp = {
'grtyp' : 'Z',
'grref' : 'E',
'ni' : 90,
'nj' : 45,
'lat0' : 35.,
'lon0' : 250.,
'dlat' : 0.5,
'dlon' : 0.5,
'xlat1' : 0.,
'xlon1' : 180.,
'xlat2' : 1.,
'xlon2' : 270.
}
g = rmn.encodeGrid(gp)
print("CB24: Defined a %s/%s grid of shape=%d, %d" %
(gp['grtyp'], gp['grref'], gp['ni'], gp['nj']))
# Create Record vgrid
lvls = (500.,850.,1000.)
v = vgd.vgd_new_pres(lvls)
ip1list = vgd.vgd_get(v, 'VIPT')
print("CB24: Defined a Pres vgrid with lvls=%s" % str(lvls))
# Create Record data + meta
datyp = rmn.FST_DATYP_LIST['float_IEEE_compressed']
npdtype = rmn.dtype_fst2numpy(datyp)
rshape = (g['ni'], g['nj'], len(ip1list))
r = rmn.FST_RDE_META_DEFAULT.copy() # Copy default record meta
r.update(g) # Update with grid info
r.update({ # Update with specific meta and data array
'nomvar': 'MASK',
'dateo' : rmn.newdate(rmn.NEWDATE_PRINT2STAMP, 20160302, 1800000),
'nk' : len(ip1list),
'ip1' : 0, # level, will be set later, level by level
'ip2' : 6, # Forecast of 6h
'deet' : 3600, # Timestep in sec
'npas' : 6, # Step number
'etiket': 'my_etk',
'nbits' : 32, # Keep full 32 bits precision for that field
'datyp' : datyp, # datyp (above) float_IEEE_compressed
'd' : np.empty(rshape, dtype=npdtype, order='FORTRAN')
})
print("CB24: Defined a new record of shape=%d, %d" % (r['ni'], r['nj']))
# Compute record values
r['d'][:,:,:] = 0.
r['d'][10:-11,5:-6,:] = 1.
# Open Files
fileNameOut = 'newfromscratch.fst'
try:
fileIdOut = rmn.fstopenall(fileNameOut, rmn.FST_RW)
except:
sys.stderr.write("Problem opening the file: %s, %s\n" % fileNameOut)
sys.exit(1)
# Write record data + meta + grid + vgrid to file
try:
r2d = r.copy()
r2d['nk'] = 1
for k in range(len(ip1list)):
r2d['ip1'] = ip1list[k]
r2d['d'] = np.asfortranarray(r['d'][:,:,k])
rmn.fstecr(fileIdOut, r2d['d'], r2d)
print("CB24: wrote %s at ip1=%d" % (r2d['nomvar'], r2d['ip1']))
rmn.writeGrid(fileIdOut, g)
print("CB24: wrote the grid descriptors")
vgd.vgd_write(v, fileIdOut)
print("CB24: wrote the vgrid descriptor")
except:
raise
finally:
# Properly close files even if an error occured above
# This is important when editing to avoid corrupted files
rmn.fstcloseall(fileIdOut)
os.unlink(fileNameOut) # Remove test file
parser.add_argument("-v", "--verbose", dest="verbose",
action="count", default=0,
help="Increase output verbosity")
parser.add_argument("-i", "--input", dest="inputFile",
nargs='+', required=True, type=str, default=[],
metavar='FILENAME.txt',
help="Input Text File name")
parser.add_argument("-o", "--output", dest="outputFile",
required=True, type=str, default=None,
metavar='FILENAME.fst',
help="Output RPN Std File name")
args = parser.parse_args()
# Restric to the minimum the number of messages printed by librmn
rmn.fstopt(rmn.FSTOP_MSGLVL,rmn.FSTOPI_MSG_CATAST)
if args.verbose:
sys.stdout.write("Opening the output file: {}\n".
format(args.outputFile))
try:
fileIdOut = rmn.fstopenall(args.outputFile, rmn.FST_RW)
except:
sys.stderr.write("ERROR: Problem opening the file: {}\n".
format(args.outputFile))
sys.exit(1)
status = 0
for filename in args.inputFile:
try:
txtRec = txtFile2Rec(filename, args.verbose)
(options,args) = parser.parse_args()
if not (options.varname and options.fstfile and options.outfile and options.lolafile and options.inttype):
sys.stderr.write('Error: You need to specify a varname, an fst filename, an outfile name and a lolafile name.\n')
parser.print_help()
sys.exit(1)
inttype = options.inttype[0].lower()
if not (inttype in inttypelist.keys()):
sys.stderr.write('Error: INTTYPE should be one of: nearest, linear or cubic.\n')
parser.print_help()
sys.exit(1)
# Open and Read RPN STD file
try:
rmn.fstopt(rmn.FSTOP_MSGLVL, rmn.FSTOPI_MSG_CATAST)
funit = rmn.fstopenall(options.fstfile,rmn.FST_RO)
k = rmn.fstinf(funit,nomvar=options.varname)['key']
data = rmn.fstluk(k)['d']
meta = rmn.fstprm(k)
except:
raise rmn.RMNError('Problem opening/reading var=%s in File=%s' % (options.varname,options.fstfile))
# Define input record grid
try:
meta['iunit'] = funit
grid = rmn.ezqkdef(meta)
except:
raise rmn.RMNError('Problem defining input grid for var=%s in File=%s' % (options.varname,options.fstfile))
# Read lat lon file
