def get_odyssey_filename(time_slot, area, outDir, outFile):
print(" get_odyssey_filename radar for ", area)
outputDir = format_name(outDir, time_slot, area=area, rgb="radar")
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
filename = format_name('ODY_RATE-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
return outputDir + filename
def get_TRT_filename(time_slot, area, outDir, outFile):
print(" get_TRT_filename TRT for ", area)
outputDir = format_name(outDir, time_slot, area=area, rgb="TRT")
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
filename = format_name('RAD_TRT-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
return outputDir + filename
def get_cosmo_filename(rgb, time_slot, area, outDir, outFile):
print(" get_cosmo_filename radar for ", area)
outputDir = format_name(outDir, time_slot, area=area, rgb=rgb)
filename = format_name('COSMO_' + rgb + '-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
return outputDir + filename
def get_comp_filename(comp_str, sat_nr, time_slot, area, outDir, outFile):
print(" get_comp_filename ", comp_str)
outputDir = format_name(outDir,
time_slot,
area=area,
rgb=comp_str.replace("_", "-"),
sat_nr=sat_nr)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
filename = format_name('MSG_' + comp_str.replace("_", "-") + '-' + area +
'_%y%m%d%H%M.png',
time_slot,
area=area,
sat_nr=sat_nr)
return outputDir + '/' + filename
def get_THX_filename(time_slot, area, outDir, outFile):
print(" get_THX_filename THX for ", area)
from ConfigParser import ConfigParser
from mpop import CONFIG_PATH
conf = ConfigParser()
conf.read(join(CONFIG_PATH, "swisslightning.cfg"))
dx = int(conf.get("thx-level2", "dx"))
dt = int(conf.get("thx-level2", "dt"))
dt_str = ("%04d" % dt) + "min"
dx_str = ("%03d" % dx) + "km"
outputDir = format_name(outDir, time_slot, area=area, rgb="THX")
rgb = 'dens'
filename = format_name('THX_' + rgb + '-' + area + '_%y%m%d%H%M_' +
dt_str + '_' + dx_str + '.png',
time_slot,
area=area,
rgb="THX")
return outputDir + filename
def get_OT_filename(rgb, time_slot, area, outDir, outFile):
print(" get_OT_filename (overshooting top) for ", area)
outputDir = format_name(outDir,
time_slot,
area=area,
rgb=rgb,
sat=sat,
sat_nr=sat_nr)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
filename = format_name(outFile,
time_slot,
area=area,
rgb=rgb,
sat=sat,
sat_nr=sat_nr)
return outputDir + filename
def get_sat_filename(rgb, sat, sat_nr, time_slot, area, outDir, outFile):
print(" get_sat_filename for ", rgb, area)
#outputDir = "/data/cinesat/out/"
outputDir = format_name(outDir,
time_slot,
area=area,
rgb=rgb,
sat=sat,
sat_nr=sat_nr)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
filename = format_name(outFile,
time_slot,
area=area,
rgb=rgb,
sat=sat,
sat_nr=sat_nr)
return outputDir + filename
def get_radar_filename(rgb, time_slot, area, outDir, outFile):
print(" get_radar_filename radar for ", area)
if rgb == 'radar':
# backward comparbility (old convention for file names of radar products, not that good)
outputDir = format_name(outDir, time_slot, area=area, rgb="radar")
filename = format_name('RAD_RZC-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
else:
# new better file naming
outputDir = format_name(outDir, time_slot, area=area, rgb=rgb)
filename = format_name('RAD_' + rgb + '-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
from os import makedirs
makedirs(outputDir)
return outputDir + filename
def scatter_rad_rcz(in_msg):
# get date of the last SEVIRI observation
if in_msg.datetime is None:
in_msg.get_last_SEVIRI_date()
yearS = str(in_msg.datetime.year)
#yearS = yearS[2:]
monthS = "%02d" % in_msg.datetime.month
dayS = "%02d" % in_msg.datetime.day
hourS = "%02d" % in_msg.datetime.hour
minS = "%02d" % in_msg.datetime.minute
dateS = yearS + '-' + monthS + '-' + dayS
timeS = hourS + '-' + minS
if in_msg.sat_nr is None:
in_msg.sat_nr = choose_msg(in_msg.datetime, in_msg.RSS)
# check if PyResample is loaded
try:
# Work around for on demand import of pyresample. pyresample depends
# on scipy.spatial which memory leaks on multiple imports
IS_PYRESAMPLE_LOADED = False
from pyresample import geometry
from mpop.projector import get_area_def
IS_PYRESAMPLE_LOADED = True
except ImportError:
LOGGER.warning(
"pyresample missing. Can only work in satellite projection")
if in_msg.datetime.year > 2012:
if in_msg.sat_nr == 8:
area_loaded = get_area_def("EuropeCanary35")
elif in_msg.sat_nr == 9: # rapid scan service satellite
area_loaded = get_area_def("EuropeCanary95")
elif in_msg.sat_nr == 10: # default satellite
area_loaded = get_area_def(
"met09globeFull"
) # full disk service, like EUMETSATs NWC-SAF products
elif in_msg.sat_nr == 0: # fake satellite for reprojected ccs4 data in netCDF
area_loaded = get_area_def("ccs4") #
#area_loaded = get_area_def("EuropeCanary")
#area_loaded = get_area_def("alps") # new projection of SAM
else:
print("*** Error, unknown satellite number ", in_msg.sat_nr)
area_loaded = get_area_def("hsaf") #
else:
if in_msg.sat_nr == 8:
area_loaded = get_area_def("EuropeCanary95")
elif in_msg.sat_nr == 9: # default satellite
area_loaded = get_area_def("EuropeCanary")
# define contour write for coasts, borders, rivers
cw = ContourWriterAGG(in_msg.mapDir)
if type(in_msg.sat_nr) is int:
sat_nr_str = str(in_msg.sat_nr).zfill(2)
elif type(in_msg.sat_nr) is str:
sat_nr_str = in_msg.sat_nr
else:
print("*** Waring, unknown type of sat_nr", type(in_msg.sat_nr))
sat_nr_str = in_msg.sat_nr
if in_msg.verbose:
print('*** Create plots for ')
print(' Satellite/Sensor: ' + in_msg.sat + ' ' + sat_nr_str)
print(' Date/Time: ' + dateS + ' ' + hourS + ':' + minS +
'UTC')
print(' RGBs: ', in_msg.RGBs)
print(' Area: ', in_msg.areas)
# check if input data is complete
if in_msg.verbose:
print("*** check input data")
RGBs = check_input(in_msg, in_msg.sat + sat_nr_str, in_msg.datetime)
if len(RGBs) != len(in_msg.RGBs):
print("*** Warning, input not complete.")
print("*** Warning, process only: ", RGBs)
# define time and data object
global_data = GeostationaryFactory.create_scene(in_msg.sat, sat_nr_str,
"seviri", in_msg.datetime)
# print "type(global_data) ", type(global_data) # <class 'mpop.scene.SatelliteInstrumentScene'>
# print "dir(global_data)", dir(global_data) [..., '__init__', ... 'area', 'area_def', 'area_id', 'channel_list', 'channels',
# 'channels_to_load', 'check_channels', 'fullname', 'get_area', 'image', 'info', 'instrument_name', 'lat', 'load', 'loaded_channels',
# 'lon', 'number', 'orbit', 'project', 'remove_attribute', 'satname', 'save', 'set_area', 'time_slot', 'unload', 'variant']
global_data_radar = GeostationaryFactory.create_scene(
"swissradar", "", "radar", in_msg.datetime)
global_data_radar.load(['precip'])
if len(RGBs) == 0:
return RGBs
if in_msg.verbose:
print(
"*** load satellite channels for " + in_msg.sat + sat_nr_str + " ",
global_data.fullname)
# initialize processed RGBs
RGBs_done = []
# load all channels / information
for rgb in RGBs:
if in_msg.verbose:
print(" load prerequisites for: ", rgb)
if rgb in products.MSG or rgb in products.MSG_color:
for channel in products.MSG:
if rgb.find(
channel
) != -1: # if a channel name (IR_108) is in the rgb name (IR_108c)
if in_msg.verbose:
print(" load prerequisites by name: ", channel)
if in_msg.reader_level is None:
global_data.load(
[channel], area_extent=area_loaded.area_extent
) # try all reader levels load the corresponding data
else:
global_data.load([channel],
area_extent=area_loaded.area_extent,
reader_level=in_msg.reader_level
) # load the corresponding data
if rgb in products.RGBs_buildin or rgb in products.RGBs_user:
obj_image = get_image(global_data,
rgb) # find corresponding RGB image object
if in_msg.verbose:
print(" load prerequisites by function: ",
obj_image.prerequisites)
global_data.load(
obj_image.prerequisites,
area_extent=area_loaded.area_extent) # load prerequisites
if rgb in products.CMa or rgb in products.CT or rgb in products.CTTH or rgb in products.SPhR:
if rgb in products.CMa:
pge = "CloudMask"
elif rgb in products.CT:
pge = "CloudType"
elif rgb in products.CTTH:
pge = "CTTH"
elif rgb in products.SPhR:
pge = "SPhR"
else:
print("*** Error in scatter_rad_rcz (" +
inspect.getfile(inspect.currentframe()) + ")")
print(" unknown NWC-SAF PGE ", rgb)
quit()
if in_msg.verbose:
print(" load NWC-SAF product: " + pge)
global_data.load(
[pge],
calibrate=in_msg.nwcsaf_calibrate,
reader_level="seviri-level3"
) # False, area_extent=area_loaded.area_extent (difficulties to find correct h5 input file)
#print global_data.loaded_channels()
#loaded_channels = [chn.name for chn in global_data.loaded_channels()]
#if pge not in loaded_channels:
# return []
if area_loaded != global_data[pge].area:
print("*** Warning: NWC-SAF input file on a differnt grid (" +
global_data[pge].area.name +
") than suggested input area (" + area_loaded.name + ")")
print(" use " + global_data[pge].area.name +
" as standard grid")
area_loaded = global_data[pge].area
convert_NWCSAF_to_radiance_format(global_data, area_loaded, rgb,
IS_PYRESAMPLE_LOADED)
if rgb in products.HSAF:
if in_msg.verbose:
print(" load hsaf product by name: ", rgb)
global_data.load(
[rgb]
) # , area_extent=area_loaded.area_extent load the corresponding data
if in_msg.HRV_enhancement:
# load also the HRV channel (there is a check inside in the load function, if the channel is already loaded)
if in_msg.verbose:
print(
" load additionally the HRV channel for HR enhancement")
global_data.load(["HRV"], area_extent=area_loaded.area_extent)
# loaded_channels = [chn.name for chn in global_data.loaded_channels()]
# print loaded_channels
# check if all prerequisites are loaded
#rgb_complete = []
#for rgb in RGBs:
# all_loaded = True
# if rgb in products.RGBs_buildin or rgb in products.RGB_user:
# obj_image = get_image(global_data, rgb)
# for pre in obj_image.prerequisites:
# if pre not in loaded_channels:
# all_loaded = False
# elif rgb in products.MSG_color:
# if rgb.replace("c","") not in loaded_channels:
# all_loaded = False
# else:
# if rgb not in loaded_channels:
# all_loaded = False
# if all_loaded:
# rgb_complete.append(rgb)
#print "rgb_complete", rgb_complete
# preprojecting the data to another area
# --------------------------------------
for area in in_msg.areas:
print("")
obj_area = get_area_def(area)
if obj_area == area_loaded:
if in_msg.verbose:
print("*** Use data for the area loaded: ", area)
#obj_area = area_loaded
data = global_data
resolution = 'l'
else:
if in_msg.verbose:
print("*** Reproject data to area: ", area,
"(org projection: ", area_loaded.name, ")")
obj_area = get_area_def(area)
# PROJECT data to new area
data = global_data.project(area)
resolution = 'i'
if in_msg.mapResolution is None:
if area.find("EuropeCanary") != -1:
resolution = 'l'
if area.find("ccs4") != -1:
resolution = 'i'
if area.find("ticino") != -1:
resolution = 'h'
else:
resolution = in_msg.mapResolution
# define area
proj4_string = obj_area.proj4_string
# e.g. proj4_string = '+proj=geos +lon_0=0.0 +a=6378169.00 +b=6356583.80 +h=35785831.0'
area_extent = obj_area.area_extent
# e.g. area_extent = (-5570248.4773392612, -5567248.074173444, 5567248.074173444, 5570248.4773392612)
area_tuple = (proj4_string, area_extent)
# save reprojected data
if area in in_msg.save_reprojected_data: # and area != area_loaded
_sat_nr = int(data.number) - 7 if int(data.number) - 7 > 0 else 0
nc_dir = (
global_data.time_slot.strftime(in_msg.reprojected_data_dir) % {
"area": area,
"msg": "MSG" + str(_sat_nr)
})
nc_file = (global_data.time_slot.strftime(
in_msg.reprojected_data_filename) % {
"area": area,
"msg": "MSG" + str(_sat_nr)
})
ncOutputFile = nc_dir + nc_file
# check if output directory exists, if not create it
path = dirname(ncOutputFile)
if not exists(path):
if in_msg.verbose:
print('... create output directory: ' + path)
makedirs(path)
if in_msg.verbose:
print("... save reprojected data: ncview " + ncOutputFile +
" &")
#data.save(ncOutputFile, to_format="netcdf4", compression=False)
data.save(ncOutputFile, band_axis=0, concatenate_bands=False)
# mask for the cloud depths tests (masked data)
#if area == 'ccs4':
if area == False:
print('... apply convective mask')
mask_depth = data.image.mask_clouddepth()
#print type(mask_depth.max)
#print dir(mask_depth.max)
index = where(
mask_depth <
5) # less than 5 (of 6) tests successfull -> mask out
for rgb in RGBs:
if rgb in products.MSG_color:
rgb2 = rgb.replace("c", "")
data[rgb2].data.mask[index] = True
fill_value = data[rgb2].data.fill_value
#data["IR_108"].data[index] = fill_value
#print "data[IR_108].data.min/max ", data["IR_108"].data.min(), data["IR_108"].data.max()
#if rgb == "IR_108c":
# print type(data["IR_108"].data)
# print dir(data["IR_108"].data)
#print data["IR_108"].data.mask
# save average values
if in_msg.save_statistics:
mean_array = zeros(len(RGBs))
#statisticFile = '/data/COALITION2/database/meteosat/ccs4/'+yearS+'/'+monthS+'/'+dayS+'/MSG_'+area+'_'+yearS[2:]+monthS+dayS+'.txt'
statisticFile = './' + yearS + '-' + monthS + '-' + dayS + '/MSG_' + area + '_' + yearS[
2:] + monthS + dayS + '.txt'
if in_msg.verbose:
print("*** write statistics (average values) to " +
statisticFile)
f1 = open(statisticFile, 'a') # mode append
i_rgb = 0
for rgb in RGBs:
if rgb in products.MSG_color:
mean_array[i_rgb] = data[rgb.replace("c", "")].data.mean()
i_rgb = i_rgb + 1
# create string to write
str2write = dateS + ' ' + hourS + ' : ' + minS + ' UTC '
for mm in mean_array:
str2write = str2write + ' ' + "%7.2f" % mm
str2write = str2write + "\n"
f1.write(str2write)
f1.close()
print("y.shape ", global_data_radar['precip'].data.shape)
from numpy import copy
y = copy(global_data_radar['precip'].data)
y = y.ravel()
print("y.shape ", y.shape)
if 1 == 0:
if 'X' in locals():
del X
from numpy import column_stack, append, concatenate
for rgb in RGBs:
# poor mans parallax correction
if rgb in products.MSG_color:
rgb2 = rgb.replace("c", "")
else:
rgb2 = rgb
x1 = data[rgb2].data.ravel()
if 'X' not in locals():
X = x1
X = [X]
else:
concatenate((X, [x1]), axis=0)
print("X.shape ", X.shape)
X = append(X, [[1] * len(x1)], axis=1)
print("y.shape ", y.shape)
#theta = np.linalg.lstsq(X,y)[0]
return
ind_gt_1 = y > 1
x = x[ind_gt_1]
y = y[ind_gt_1]
ind_lt_200 = y < 200
x = x[ind_lt_200]
y = y[ind_lt_200]
#ind_gt_0 = x>0
#x = x[ind_gt_0]
#y = y[ind_gt_0]
#X = np.column_stack(x+[[1]*len(x[0])])
#beta_hat = np.linalg.lstsq(X,y)[0]
#print beta_hat
#X_hat= np.dot(X,theta)
#y_hat = X_hat.reshape((640, 710))
# creating plots/images
if in_msg.make_plots:
ind_cloudy = data['CTH'].data > 0
ind_clear = data['CTH'].data <= 0
ind_cloudy = ind_cloudy.ravel()
for rgb in RGBs:
if rgb in products.MSG_color:
rgb2 = rgb.replace("c", "")
else:
rgb2 = rgb
if rgb == 'ir108':
rgb2 = 'IR_108'
# poor mans parallax correction
if 1 == 0:
print("... poor mans parallax correction")
data[rgb2].data[25:640, :] = data[rgb2].data[0:615, :]
#data[rgb2].data[15:640,:] = data[rgb2].data[0:625,:]
data[rgb2].data[:, 0:700] = data[rgb2].data[:, 10:710]
# create output filename
outputDir = format_name(in_msg.outputDir,
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
outputFile = outputDir + format_name(in_msg.outputFile,
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
PIL_image = create_PIL_image(
rgb, data, in_msg
) # !!! in_msg.colorbar[rgb] is initialized inside (give attention to rgbs) !!!
if 1 == 1:
y = copy(global_data_radar['precip'].data)
ind_gt_300 = y > 300 # replace no rain marker with 0mm/h
y[ind_gt_300] = 0
y = y.ravel()
print("y.shape ", y.shape)
x = copy(data[rgb2].data)
x = x.ravel()
## get rid of clear sky
x = x[ind_cloudy]
y = y[ind_cloudy]
#ind_gt_01 = x>0.1
#x = x[ind_gt_01]
#y = y[ind_gt_01]
# get rid of no rain limits for rainfall
ind_gt_01 = y > 0.1
x = x[ind_gt_01]
y = y[ind_gt_01]
ind_lt_300 = y < 300
x = x[ind_lt_300]
y = y[ind_lt_300]
plt.figure()
plt.title('Scatterplot precipitation - radiance')
plt.xlabel(rgb)
plt.ylabel('precipitation in mm/h')
plt.scatter(x, y) #, s=area, c=colors, alpha=0.5
outputDir = format_name(in_msg.outputDir,
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
outputFileScatter = outputDir + format_name(
'scatterplot_%(area)s_%Y%m%d%H%M_%(rgb)s_precip_pc.png',
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
#plt.show()
from numpy import arange
x_line = arange(x.min(), x.max(), 1)
print("*** display " + outputFileScatter + " &")
from numpy import ones, linalg, array
print(x.min(), x.max(), y.min(), y.max())
A = array([x, ones(x.size)])
w = linalg.lstsq(A.T, y)[0] # obtaining the parameters
y_line = w[0] * x_line + w[1] # regression line
#---
#from scipy import stats
#slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)
#print "slope, intercept, r_value, p_value, std_err"
#print slope, intercept, r_value, p_value, std_err
#y_line = slope*x_line + intercept
from pylab import plot
plot(x_line, y_line, 'r-')
plt.savefig(outputFileScatter)
y_hat = w[0] * data[rgb2].data + w[1]
print("y_hat.shape: ", y_hat.shape)
# set clear sky to 0
y_hat[ind_clear] = 0
y_hat = ma.asarray(y_hat)
y_hat.mask = (y_hat == 9999.9) | (y_hat <= 0.0001)
from trollimage.colormap import RainRate
colormap = rainbow
min_data = 0.0
#max_data=y_hat.max()
max_data = 8
colormap.set_range(min_data, max_data)
#colormap = RainRate
in_msg.colormap[rgb] = colormap
units = 'mm/h'
img = trollimage(y_hat, mode="L")
img.colorize(in_msg.colormap[rgb])
in_msg.colormap[rgb] = colormap.reverse()
PIL_image = img.pil_image()
outputFile = outputDir + format_name(
'fit_%(area)s_%Y%m%d%H%M_%(rgb)s_precip.png',
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
#PIL_image.save(outputFile)
## add coasts, borders, and rivers, database is heree
## http://www.soest.hawaii.edu/pwessel/gshhs/index.html
## possible resolutions
## f full resolution: Original (full) data resolution.
## h high resolution: About 80 % reduction in size and quality.
## i intermediate resolution: Another ~80 % reduction.
## l low resolution: Another ~80 % reduction.
## c crude resolution: Another ~80 % reduction.
if in_msg.add_rivers:
if in_msg.verbose:
print(" add rivers to image (resolution=" +
resolution + ")")
cw.add_rivers(PIL_image,
area_tuple,
outline='blue',
resolution=resolution,
outline_opacity=127,
width=0.5,
level=5) #
if in_msg.verbose:
print(" add lakes to image (resolution=" +
resolution + ")")
cw.add_coastlines(PIL_image,
area_tuple,
outline='blue',
resolution=resolution,
outline_opacity=127,
width=0.5,
level=2) #, outline_opacity=0
if in_msg.add_borders:
if in_msg.verbose:
print(" add coastlines to image (resolution=" +
resolution + ")")
cw.add_coastlines(PIL_image,
area_tuple,
outline=(255, 0, 0),
resolution=resolution,
width=1) #, outline_opacity=0
if in_msg.verbose:
print(" add borders to image (resolution=" +
resolution + ")")
cw.add_borders(PIL_image,
area_tuple,
outline=(255, 0, 0),
resolution=resolution,
width=1) #, outline_opacity=0
#if area.find("EuropeCanary") != -1 or area.find("ccs4") != -1:
dc = DecoratorAGG(PIL_image)
# add title to image
if in_msg.add_title:
PIL_image = add_title(PIL_image, rgb, int(data.number),
dateS, hourS, minS, area, dc,
in_msg.font_file, in_msg.verbose)
# add MeteoSwiss and Pytroll logo
if in_msg.add_logos:
if in_msg.verbose:
print('... add logos')
dc.align_right()
if in_msg.add_colorscale:
dc.write_vertically()
dc.add_logo("../logos/meteoSwiss3.jpg", height=60.0)
dc.add_logo("../logos/pytroll3.jpg", height=60.0)
# add colorscale
if in_msg.add_colorscale and in_msg.colormap[rgb] is not None:
dc.align_right()
dc.write_vertically()
font_scale = aggdraw.Font(
"black",
"/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Bold.ttf",
size=16)
# get tick marks
tick_marks = 20 # default
minor_tick_marks = 5 # default
if rgb in list(in_msg.tick_marks.keys()):
tick_marks = in_msg.tick_marks[rgb]
if rgb in list(in_msg.minor_tick_marks.keys()):
minor_tick_marks = in_msg.minor_tick_marks[rgb]
if rgb.find(
"-"
) != -1: # for channel differences use tickmarks of 1
tick_marks = 1
minor_tick_marks = 1
tick_marks = 2 # default
minor_tick_marks = 1 # default
if in_msg.verbose:
print('... add colorscale')
dc.add_scale(in_msg.colormap[rgb],
extend=True,
tick_marks=tick_marks,
minor_tick_marks=minor_tick_marks,
font=font_scale,
line_opacity=100) #, unit='T / K'
## test to plot a wind barb
#import matplotlib.pyplot as plt
#ax = plt.axes(PIL_image)
#ax.barbs(0, 0, 20, 20, length=8, pivot='middle', barbcolor='red')
#ax.barbs(8, 46, 20, 20, length=8, pivot='middle', barbcolor='red')
# check if output directory exists, if not create it
path = dirname(outputFile)
if not exists(path):
if in_msg.verbose:
print('... create output directory: ' + path)
makedirs(path)
# save file
if in_msg.verbose:
print('... save final file :' + outputFile)
PIL_image.save(outputFile,
optimize=True) # optimize -> minimize file size
if in_msg.compress_to_8bit:
if in_msg.verbose:
print('... compress to 8 bit image: display ' +
outputFile.replace(".png", "-fs8.png") + ' &')
subprocess.call("/usr/bin/pngquant -force 256 " +
outputFile + " 2>&1 &",
shell=True) # 256 == "number of colors"
#if in_msg.verbose:
# print " add coastlines to "+outputFile
## alternative: reopen image and modify it (takes longer due to additional reading and saving)
#cw.add_rivers_to_file(img, area_tuple, level=5, outline='blue', width=0.5, outline_opacity=127)
#cw.add_coastlines_to_file(outputFile, obj_area, resolution=resolution, level=4)
#cw.add_borders_to_file(outputFile, obj_area, outline=outline, resolution=resolution)
# copy to another place
if in_msg.scpOutput:
if in_msg.verbose:
print("... secure copy " + outputFile + " to " +
in_msg.scpOutputDir)
subprocess.call("scp " + in_msg.scpID + " " + outputFile +
" " + in_msg.scpOutputDir + " 2>&1 &",
shell=True)
if in_msg.compress_to_8bit:
if in_msg.verbose:
print("... secure copy " +
outputFile.replace(".png", "-fs8.png") +
" to " + in_msg.scpOutputDir)
subprocess.call(
"scp " + in_msg.scpID + " " +
outputFile.replace(".png", "-fs8.png") + " " +
in_msg.scpOutputDir + " 2>&1 &",
shell=True)
if rgb not in RGBs_done:
RGBs_done.append(rgb)
## start postprocessing
if area in in_msg.postprocessing_areas:
postprocessing(in_msg, global_data.time_slot, data.number, area)
if in_msg.verbose:
print(" ")
return RGBs_done
def plot_forecast_area(ttt, model, outputDir, current_labels = None, t_stop=None, BackgroundFile=None, ForeGroundRGBFile=None, labels_dir = '/opt/users/'+getpass.getuser()+'/PyTroll/scripts/labels/', in_msg = None):
verbose = True
if t_stop is None:
t_stop = ttt
ylabel = "area"
while ttt <= t_stop:
yearS, monthS, dayS, hourS, minS = string_date(ttt)
if verbose:
print("******** read cell properties from shelve")
if current_labels is None:
yearS, monthS, dayS, hourS, minS = string_date(ttt)
filename = 'Labels_%s.shelve'%(yearS+monthS+dayS+hourS+minS)
myShelve = shelve.open(filename)
labels_all = deepcopy(myShelve['labels'])
else:
labels_all = deepcopy(current_labels)
if verbose:
print(labels_all)
unique_labels = np.unique(labels_all[labels_all>0])
if verbose:
print(("... cells with unique labels: ", unique_labels))
forecasted_labels = {}
forecasted_areas = []
at_least_one_cell = False
if verbose:
print("*** computing history backward (", labels_dir, ")")
for interesting_cell in unique_labels:
forecasted_labels["ID"+str(interesting_cell)]=[]
# calculate backward history for 1 hour and save it in labels_dir
ind, area, displacement, time, center = history_backward(ttt, interesting_cell, True, in_msg, ttt-timedelta(hours = 1), labels_dir=labels_dir) #-timedelta(minutes = 10))
# current time, cell_id, backward? time_stop
if area is None or len(area)<=1:
if verbose:
print("new cell or cell with COM outside domain")
continue
at_least_one_cell = True
if len(area)<=3:
# if history is too short, use linear extrapolation
t, y = future_properties(time, area, ylabel, "linear")
else:
t, y = future_properties(time, area, ylabel, model)
if False:
ind1, area1, displacement1, time1, center = history_backward(ttt, interesting_cell, False, ttt+timedelta(hours=1), labels_dir=labels_dir)
print("******** computed history forward")
t2 = time1 #[::-1]
y2 = area1 #[::-1]
nx,ny = labels_all.shape
#if verbose:
# print(nx,ny)
label_cell = np.zeros(labels_all.shape)
label_cell[labels_all==interesting_cell] = 1
#pickle.dump(label_cell, open("test_label.p", "wb" ) )
#quit()
dt = 0
if False:
figure_labels(label_cell, outputDir, ttt, dt, area_plot="ccs4", add_name = "_ID"+str(interesting_cell), verbose=verbose)
area_current = sum(sum(label_cell))
forecasted_areas.append(area_current)
indx = np.where(t==ttt)[0] + 1
if verbose:
print("*** compute displacement ")
if displacement.shape[1]==2:
if len(displacement) == 0:
dx = 0
dy = 0
else:
try:
dx = int(round(displacement[:,0].mean()))
dy = int(round(displacement[:,1].mean()))
except ValueError:
print("VALUE ERROR")
print(displacement)
quit()
print(" computed displacement dx, dy = ", dx, dy)
else:
print("wrong displacement")
quit()
labels_in_time={}
index_stop = 12
print(("*** calculate forecasts for cell ID"+str(interesting_cell)))
if verbose:
print("index time area growth")
print("----------------------------")
for i in range(13):
dt += 5
#if verbose:
# print("... for time ", dt ,", index ", indx + i)
if indx+i >= len(y):
index_stop = deepcopy(i)
break
else:
area_new = y[indx+i]
area_prev = y[indx+i-1]
#if verbose:
# print("area px that will be grown ", area_current)
# print("area forecasted ", area_new)
# print("area forecasted prev ", area_prev)
###growth = sqrt(float(area_new)/float(area_current))
if area_new < 0 or len(area_new)==0 or len(area_prev)==0:
if verbose:
print("the cell is predicted to disappear")
index_stop = deepcopy(i)
break
growth = sqrt(float(area_new)/float(area_prev))
#if verbose:
# print("growing by ", growth)
# print("dx ", dx)
# print("dy ", dy)
if verbose:
print((indx + i, dt, area_new, growth))
#figure_labels(label_cell, outputDir, ttt, dt, area_plot="ccs4", add_name = "before")
shifted_label = resize_array(label_cell, dx, dy, nx, ny)
#figure_labels(shifted_label, outputDir, ttt, dt, area_plot="ccs4", add_name = "before_shifted")
#quit()
if verbose:
print((" after shift ", sum(sum(shifted_label))))
if sum(sum(shifted_label))==0: #the cell is outside the domain
break
#center of mass before resizing
center_before = ndimage.measurements.center_of_mass(shifted_label)
center_before = np.rint(center_before)
#if verbose:
# print(" after shift ", sum(sum(shifted_label)))
resized_label = scipy.misc.imresize(shifted_label,float(growth),'nearest')
resized_label[resized_label >0] = 1
temp_label = np.zeros((nx,ny))
#after resizing, the array is larger/smaller than nx,ny --> create new array that contains all the label region
if resized_label.shape[0]<nx:
temp_label[0:resized_label.shape[0],0:resized_label.shape[1]] = deepcopy(resized_label)
else:
x_start = max(min(np.nonzero(resized_label)[0])-1,0)
y_start = max(min(np.nonzero(resized_label)[1])-1,0)
temp_label[0:min(nx,resized_label.shape[0]-x_start),0:min(ny,resized_label.shape[1]-y_start)] = deepcopy(resized_label[x_start:min(x_start+nx,resized_label.shape[0]),y_start:min(y_start+ny,resized_label.shape[1])])
#if verbose:
# print(np.unique(temp_label))
# print(" after resize ", sum(sum(temp_label)))
#figure_labels(resized_label, outputDir, ttt, dt, area_plot="ccs4", add_name = "before_shifted_resized")
#center of mass after resizing
center_after = ndimage.measurements.center_of_mass(temp_label)
center_after = np.rint(center_after)
dx_new,dy_new = center_before - center_after
shifted_label = resize_array(temp_label,dx_new,dy_new, nx, ny)
#if verbose:
# print(" after shift2 ", sum(sum(shifted_label)))
label_cell = np.zeros((nx,ny))
label_cell[0:,0:] = shifted_label[0:nx,0:ny]
if label_cell.shape[0] != nx or label_cell.shape[1] != ny:
print("incorrect size")
quit()
forecasted_labels["ID"+str(interesting_cell)].append(deepcopy(label_cell))
#indx+=1
label_cell = shifted_label #????????????????????????????????????
area_current = sum(sum(label_cell))
if verbose:
print(("end ", area_current))
forecasted_areas.append(area_current)
#add check to make sure the area you produced is more or less correct
t_temp = deepcopy(ttt)
forecasted_time = []
for gg in range(len(forecasted_areas)):
forecasted_time.append(t_temp)
t_temp+=timedelta(minutes = 5)
"""
if verbose:
print("******** produce images")
if False:
t_composite = deepcopy(ttt)
for i in range(min(len(y),index_stop)):
yearSf, monthSf, daySf, hourSf, minSf = string_date(t_composite)
contour_file = outputDir + "Forecast"+yearS+monthS+dayS+"_Obs"+hourS+minS+"_Forc"+hourSf+minSf+"_ID"+str(interesting_cell)+".png"
type_image = "_HRV"
#background_file = "/data/COALITION2/PicturesSatellite//"+yearS+"-"+monthS+"-"+dayS+"/"+yearS+"-"+monthS+"-"+dayS+type_image+"_"+"ccs4"+"/MSG"+type_image+"-"+"ccs4"+"_"+yearS[2:]+monthS+dayS+hourS+minS+".png"
background_file = "/data/COALITION2/PicturesSatellite/LEL_results_wind/"+yearS+"-"+monthS+"-"+dayS+"/RGB-HRV_dam/"+yearS+monthS+dayS+"_"+hourS+minS+"*.png"
out_file1 = create_dir( outputDir+"/Contours/")+"Obs"+hourS+minS+"_Forc"+hourSf+minSf+"_ID"+str(interesting_cell)+".png"
if verbose:
print("... create composite "+contour_file+" "+background_file+" "+out_file1)
#subprocess.call("/usr/bin/composite "+contour_file+" "+background_file+" "+out_file1, shell=True)
if verbose:
print("... saved composite: display ", out_file1, " &")
t_composite+=timedelta(minutes=5)
"""
"""
if False:
fig, ax = plt.subplots()
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
ax.plot_date(t, y, 'o',label="Fit and extrapolation")
ax.plot_date(forecasted_time, forecasted_areas, '*',label="forecasted")
ax.plot_date(t2, y2, '*', label="Observations")
#ax.set_xlim([t[0]-timedelta(minutes = 5), t2[-1]+timedelta(minutes = 5)])
ax.set_ylabel("area")
ax.legend(loc="best");
fig.savefig(yearS+monthS+dayS+"_"+hourS+minS+"_AreaInTime"+"ID"+str(interesting_cell)+".png")
plt.close( fig)
"""
t_composite = deepcopy(ttt)
# merge coalition2 file with
if ForeGroundRGBFile is None:
currentRGB_im_filename = "/opt/users/"+getpass.getuser()+"/PyTroll/scripts/Mecikalski/cosmo/Channels/indicators_in_time/RGB_dam/"+yearS+monthS+dayS+"_"+hourS+minS+"*ccs4.png"
else:
currentRGB_im_filename = ForeGroundRGBFile
currentRGB_im = glob.glob(currentRGB_im_filename)
if len(currentRGB_im)<1:
print("No file found:", currentRGB_im_filename)
# get background file
if BackgroundFile is None:
background_im_filename = '/data/COALITION2/PicturesSatellite/LEL_results_wind/'+yearS+'-'+monthS+'-'+dayS+'/RGB-HRV_dam/'+yearS+monthS+dayS+'_'+hourS+minS+'*.png'
else:
background_im_filename = BackgroundFile
background_im = glob.glob(background_im_filename)
if len(background_im)>0:
im = plt.imread(background_im[0])
back_exists = True
else:
back_exists = False
#img1 = Image.imread(currentRGB_im[0])
obj_area = get_area_def("ccs4")
fig,ax = prepare_figure(obj_area)
if in_msg.nrt == False:
if back_exists:
plt.imshow(np.flipud(im))
else:
# now read the data we would like to forecast
global_data = GeostationaryFactory.create_scene(in_msg.sat_str(), in_msg.sat_nr_str(), "seviri", ttt)
#global_data_RGBforecast = GeostationaryFactory.create_scene(in_msg.sat, str(10), "seviri", time_slot)
# area we would like to read
area2load = "EuropeCanary95" #"ccs4" #c2"#"ccs4" #in_windshift.ObjArea
area_loaded = get_area_def(area2load )#(in_windshift.areaExtraction)
# load product, global_data is changed in this step!
area_loaded = load_products(global_data, ['IR_108'], in_msg, area_loaded )
data = global_data.project("ccs4")
plt.imshow(np.flipud(data['IR_108'].data),cmap = pylab.gray())
# background file form function argument or default
if BackgroundFile is None:
background_im_filename = '/data/COALITION2/PicturesSatellite/LEL_results_wind/'+yearS+'-'+monthS+'-'+dayS+'/RGB-HRV_dam/'+yearS+monthS+dayS+'_'+hourS+minS+'*.png'
else:
if verbose:
print("... BackgroundFile ", BackgroundFile)
background_im_filename = BackgroundFile
# searching background file (wildcards are possible)
background_im = glob.glob(background_im_filename)
if len(background_im) == 0:
print("*** Error in plot_forecast_area (test_forecast.py)")
print(" no background file found: ", background_im_filename)
quit()
elif len(background_im) > 1:
print("*** Warning in plot_forecast_area (test_forecast.py)")
print(" several background files found: ", background_im)
# read background file
im = plt.imread(background_im[0])
#img1 = Image.imread(currentRGB_im[0])
obj_area = get_area_def("ccs4")
fig,ax = prepare_figure(obj_area)
#plt.imshow(np.flipud(im))
# plot contour lines for all cells
if at_least_one_cell:
time_wanted_minutes = [5,20,40,60]
time_wanted = []
color_wanted = []
vmax = 70
for t_want in time_wanted_minutes:
time_wanted.append((t_want-5)/5)
tmp = (mpl.cm.Blues(float(t_want)/vmax))
tmp1 = [tmp]
color_wanted.append(tmp1)
all_labels_in_time = np.zeros((nx,ny))
for i in range(len(time_wanted)-1,-1,-1):
ind_time = time_wanted [i]
for key, forc_labels in forecasted_labels.items(): #forecasted_labels["ID"+str(interesting_cell)]=[]
if len(forc_labels)>ind_time:
#plt.contour(np.flipud(forc_labels[ind_time]),[0.5],colors = color_wanted_cont[i]) #colors='w') #
all_labels_in_time[forc_labels[ind_time]>0] = time_wanted_minutes[i]
forc_labels_tmp = np.ma.masked_where(all_labels_in_time==0,all_labels_in_time)
plt.contourf(np.flipud(forc_labels_tmp), cmap="Blues", vmin=0, vmax=vmax)
if False:
for i in range(len(time_wanted)):
ind_time = time_wanted [i]
for key, forc_labels in forecasted_labels.items(): #forecasted_labels["ID"+str(interesting_cell)]=[]
if len(forc_labels)>ind_time:
plt.contour(np.flipud(forc_labels[ind_time]),[0.5],colors = color_wanted[i]) #colors='w') #
else:
print("*** Warning, no COALITION2 cell detected ")
print(" produce empty figure ...")
PIL_image = fig2img ( fig )
standardOutputName = in_msg.standardOutputName.replace('%y%m%d%H%M',strftime('%y%m%d%H%M',ttt.timetuple()))
#PIL_image.paste(img1, (0, 0), img1)
if in_msg is None:
PIL_image.save(create_dir(outputDir)+"Forecast"+yearS+monthS+dayS+"_Obs"+hourS+minS+".png")
path = (outputDir)+yearS+monthS+dayS+hourS+minS+"Forecast.png"
else:
# dic_figure={}
# if in_msg.nrt == True:
# dic_figure['rgb']= 'Forecast' #'C2rgbForecastTMP-IR-108'
# else:
# dic_figure['rgb']= 'Forecast-C2rgb'
# dic_figure['area']='ccs4'
# PIL_image.save(create_dir(outputFile)+standardOutputName%dic_figure)
# path = (outputFile)+standardOutputName%dic_figure
# if in_msg.nrt == False:
# dic_figure={}
# dic_figure['rgb']= 'C2rgb-Forecast-HRV' #'C2rgbForecastTMP-IR-108'
# dic_figure['area']='ccs4'
# path_output = (outputFile)+standardOutputName%dic_figure
# print ("creating composite: ",currentRGB_im[0],"+",path)
# subprocess.call("/usr/bin/composite "+currentRGB_im[0]+" "+path+" "+path_output, shell=True)
#print ("... display ",path_output," &")
#dic_figure={}
#dic_figure['rgb']= 'Forecast' #'C2rgbForecastTMP-IR-108'
#dic_figure['area']='ccs4'
outputFile = format_name(create_dir(outputDir)+in_msg.outputFile, ttt, rgb='Forecast', area='ccs4', sat_nr=int(in_msg.sat_nr))
#PIL_image.save(create_dir(outputDir)+in_msg.outputFile%dic_figure)
PIL_image.save(outputFile)
#path = (outputDir)+in_msg.outputFile%dic_figure
path = outputFile
print("... display ",path," &")
plt.close( fig)
if True:
if verbose:
print("path foreground", currentRGB_im[0])
if in_msg is None:
path_composite = (outputFile)+yearS+monthS+dayS+"_Obs"+hourS+minS+"Forecast_composite.png"
else:
# dic_figure={}
# dic_figure['rgb']='C2rgb-Forecast-HRV'
# dic_figure['area']='ccs4'
# path_composite = (outputFile)+standardOutputName%dic_figure
#dic_figure = {}
#dic_figure['rgb'] = "_HRV" #'IR-108'
#dic_figure['area']='ccs4'
#path_IR108 = (outputFile)+standardOutputName%dic_figure
#dic_figure={}
#dic_figure['rgb'] = 'C2rgbForecast-IR-108'
#dic_figure['area'] = 'ccs4'
#path_composite = (outputDir) + in_msg.outputFile%dic_figure
path_composite = format_name( outputDir+in_msg.outputFile, ttt, rgb='C2rgbForecast-IR-108', area='ccs4', sat_nr=int(in_msg.sat_nr))
#dic_figure = {}
#dic_figure['rgb'] = 'IR-108'
#dic_figure['area']='ccs4'
#path_IR108 = (outputDir) + in_msg.outputFile%dic_figure
path_IR108 = format_name( outputDir+in_msg.outputFile, ttt, rgb='IR-108', area='ccs4', sat_nr=int(in_msg.sat_nr))
if in_msg.nrt == True:
if verbose:
print("---starting post processing")
#if area in in_msg.postprocessing_areas:
in_msg.postprocessing_composite = deepcopy(in_msg.postprocessing_composite2)
postprocessing(in_msg, ttt, in_msg.sat_nr, "ccs4")
#print ("... display",path_composite,"&")
if in_msg.scpOutput and in_msg.nrt == True and False: #not necessary because already done within postprocessing
print("... secure copy "+path_composite+ " to "+in_msg.scpOutputDir) #
subprocess.call("scp "+in_msg.scpID+" "+path_composite +" "+in_msg.scpOutputDir+" 2>&1 &", shell=True) #BackgroundFile #
if False:
for i in range(12):
contour_files = glob.glob(outputDir + "Forecast"+yearS+monthS+dayS+"_Obs"+hourS+minS+"_Forc"+hourSf+minSf+"_ID*.png")
if verbose:
print(("Files found: ",contour_files))
if len(contour_files)>0:
background_file = "/data/COALITION2/PicturesSatellite/LEL_results_wind/"+yearS+"-"+monthS+"-"+dayS+"/RGB-HRV_dam/"+yearS+monthS+dayS+"_"+hourS+minS+"*.png"
out_file1 = create_dir( outputDir+"/Contours/")+"Obs"+hourS+minS+"_Forc"+hourSf+minSf+".png"
t_composite+=timedelta(minutes=5)
ttt += timedelta(minutes = 5)
PIL_image = HRWstreamplot(
u2d, v2d, obj_area, HRW_data.interpol_method,
color_mode='speed') # , legend=True, legend_loc=3
#outputFile = output_dir+'/MSG_stream'+detailed_char+'-'+area+'_'+yearS[2:]+monthS+dayS+hourS+minS
rgb_str = 'stream' + detailed_char
title = layer + ' ' + detailed_str + ' High Resolution Winds streamplot' # [white v. weak, green weak, yellow med., red strong]
else:
print("*** Error in plot_hrw.py")
print(" unknown plot_mode")
quit()
output_dir = format_name(in_msg.outputDir,
time_slot,
area=area,
rgb=rgb_str,
sat='MSG',
sat_nr=10)
outputFile = output_dir + '/' + format_name(in_msg.outputFile,
time_slot,
area=area,
rgb=rgb_str,
sat='MSG',
sat_nr=10)
if not exists(output_dir):
print('... create output directory: ' + output_dir)
makedirs(output_dir)
# create decorator
dc = DecoratorAGG(PIL_image)
draw = ImageDraw.Draw(PIL_image)
def n_file_composite(composite,
satellite,
sat_nr,
time_slot,
area,
outDir,
outFile,
scpOutput=False,
scpOutDir="/tmp/",
scpID=None,
scpProducts=[],
scpOutDir2="/tmp/",
scpID2=None,
scpProducts2=[],
ftpUpload=False,
ftpProducts=[],
ftpServer=None,
ftpUser=None,
ftpPassword=None,
bits_per_pixel=8,
compress_to_8bit=False,
composites_done=[],
verbose=True):
n_rgb = composite.count('-') + 1
# create smaller required composites
if n_rgb - 1 >= 2:
rgb_list = composite.split("-", n_rgb - 2)
n_file_composite(rgb_list[-1],
satellite,
sat_nr,
time_slot,
area,
outDir,
outFile,
scpOutput=scpOutput,
scpOutDir=scpOutDir,
scpID=scpID,
scpProducts=scpProducts,
scpOutDir2=scpOutDir2,
scpID2=scpID2,
scpProducts2=scpProducts2,
bits_per_pixel=bits_per_pixel,
compress_to_8bit=compress_to_8bit,
verbose=verbose)
print(" create ", n_rgb, " file composite ", composite)
if satellite == "meteosat":
sat = 'MSG'
else:
sat = satellite
# get the filename of the last two files to compose
file_list = get_file_list(composite,
sat,
sat_nr,
time_slot,
area,
outDir,
outFile,
n=2)
if file_list is None: # if not all files are found
return composites_done # return [] as error marker
# get result filename
comp_file = get_comp_filename(composite, sat_nr, time_slot, area, outDir,
outFile)
comp_dir = dirname(comp_file)
if not exists(comp_dir):
if verbose:
print('... create output directory: ' + comp_dir)
makedirs(comp_dir)
command = "/usr/bin/composite -depth " + str(
bits_per_pixel
) + " " + file_list[0] + " " + file_list[1] + " " + comp_file
if verbose:
print(" " + command)
subprocess.call(command, shell=True) #+" 2>&1 &"
# check if file is produced
if isfile(comp_file):
composites_done.append(composite)
if scpOutput:
if (composite in scpProducts) or ('all' in [
x.lower() for x in scpProducts if type(x) == str
]):
scpOutputDir = format_name(scpOutDir,
time_slot,
area=area,
rgb=composite,
sat=sat,
sat_nr=sat_nr)
if verbose:
print("/usr/bin/scp " + scpID + " " + comp_file + " " +
scpOutputDir + " 2>&1 &")
subprocess.call("/usr/bin/scp " + scpID + " " + comp_file + " " +
scpOutputDir + " 2>&1 &",
shell=True)
if scpOutput and (scpID2 is not None) and (scpOutDir2 is not None):
if (composite in scpProducts2) or ('all' in [
x.lower() for x in scpProducts2 if type(x) == str
]):
scpOutputDir2 = format_name(scpOutDir2,
time_slot,
area=area,
rgb=composite,
sat=sat,
sat_nr=sat_nr)
if compress_to_8bit:
if verbose:
print("... secure copy " +
comp_file.replace(".png", "-fs8.png") + " to " +
scpOutputDir2)
subprocess.call("scp " + scpID2 + " " +
comp_file.replace(".png", "-fs8.png") + " " +
scpOutputDir2 + " 2>&1 &",
shell=True)
else:
if verbose:
print("... secure copy " + comp_file + " to " +
scpOutputDir2)
subprocess.call("scp " + scpID2 + " " + comp_file + " " +
scpOutputDir2 + " 2>&1 &",
shell=True)
if ftpUpload:
print("... ftpUpload requested")
if ftpServer == None or ftpUser == None or ftpPassword == None:
print("*** ERROR, ftp input is not complete")
print("ftp_server=", ftpServer)
print("ftp_user="******"ftp_password="******"curl -T " + comp_file + " " + ftpServer + " --user " + ftpUser + ":" + ftpPassword
print(command_line)
subprocess.call(command_line, shell=True)
return composites_done
river_color=in_msg.river_color,
resolution=in_msg.resolution,
verbose=in_msg.verbose)
#if area.find("EuropeCanary") != -1 or area.find("ccs4") != -1:
dc = DecoratorAGG(PIL_image)
# add title to image
if in_msg.add_title:
add_title(PIL_image, rgb, int(data.number), dateS, hourS, minS,
area, dc, in_msg.font_file, in_msg.verbose)
# create output filename
outputDir = format_name(in_msg.outputDir,
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
outputFile = outputDir + format_name(
in_msg.outputFile + 'p' + str(it * delta_t).zfill(2) + '.png',
data.time_slot,
area=area,
rgb=rgb,
sat_nr=data.number)
if not exists(outputDir):
print('... create output directory: ' + outputDir)
makedirs(outputDir)
# save file
if in_msg.verbose:
show_image(prop,
chn + '_cloudy',
save_png,
colors=colors,
min_data=min_data,
max_data=max_data,
title=chn + '_cloudy')
if show_chn_PC and verbose:
show_image(data[chn + "_PC"].data,
chn + '_PC',
save_png,
colors=colors,
min_data=min_data,
max_data=max_data,
title=chn + '_PC')
if save_data:
from my_msg_module import format_name
ncOutputFile = data.time_slot.strftime("./test_rad_PLAX.nc")
ncOutputFile = format_name('%(msg)s_%(area)s_%Y%m%d%H%M_rad_PLAX.nc',
time_slot,
area=area,
sat_nr=data.sat_nr())
ncOutputFile = "/data/COALITION2/tmp/nc_PLAX/" + ncOutputFile.replace(
"-", "")
print "... save reprojected data: ncview " + ncOutputFile + " &"
#data.save(ncOutputFile, to_format="netcdf4", compression=False)
data.save(ncOutputFile, band_axis=2,
concatenate_bands=False) # netCDF4 is default
def postprocessing(in_msg, time_slot, sat_nr, area):
if hasattr(in_msg, 'postprocessing_composite'):
if isinstance(in_msg.postprocessing_composite, dict):
if area in in_msg.postprocessing_composite:
postprocessing_composite = in_msg.postprocessing_composite[
area]
else:
postprocessing_composite = []
else:
postprocessing_composite = in_msg.postprocessing_composite
if in_msg.verbose:
print("==================================")
print("*** start post processing for area: ", area, ', time: ',
str(time_slot))
print("... desired composites: ", postprocessing_composite)
composites_done = []
for composite in postprocessing_composite:
print("... creating composite: ", composite)
composites_done = n_file_composite(
composite,
in_msg.sat,
sat_nr,
time_slot,
area,
in_msg.outputDir,
in_msg.outputFile,
scpOutput=in_msg.scpOutput,
scpOutDir=in_msg.scpOutputDir,
scpID=in_msg.scpID,
scpProducts=in_msg.scpProducts,
scpOutDir2=in_msg.scpOutputDir2,
scpID2=in_msg.scpID2,
scpProducts2=in_msg.scpProducts2,
ftpUpload=in_msg.ftpUpload,
ftpProducts=in_msg.ftpProducts,
ftpServer=in_msg.ftpServer,
ftpUser=in_msg.ftpUser,
ftpPassword=in_msg.ftpPassword,
composites_done=composites_done,
verbose=in_msg.verbose)
if in_msg.verbose:
if len(composites_done) > 0:
print("... produced composites: ")
for comp in composites_done:
print(" ", comp)
else:
print("*** Warning, no composites produced ")
# ----------------------------------------------
if in_msg.verbose:
print("*** start montage_pictures for area: ", area)
montage_done = []
if hasattr(in_msg, 'postprocessing_montage'):
if isinstance(in_msg.postprocessing_montage, dict):
if area in in_msg.postprocessing_montage:
postprocessing_montage = in_msg.postprocessing_montage[area]
else:
postprocessing_montage = []
else:
postprocessing_montage = in_msg.postprocessing_montage
if in_msg.verbose:
print("")
print("*** start post processing for area: ", area, ', time: ',
str(time_slot))
print("... desired montages: ", postprocessing_montage)
for montage in postprocessing_montage:
if len(montage) == 0:
continue
print("... creating montage: ", montage)
# sleep_str = " && sleep 1 "
sleep_str = " "
n_pics = len(montage)
if n_pics == 2:
tile = "2x1"
if n_pics == 3:
tile = "3x1"
if n_pics == 4:
tile = "2x2"
if n_pics == 5:
tile = "5x1"
if n_pics == 6:
tile = "3x2"
if n_pics == 8:
tile = "4x2"
if n_pics == 9:
tile = "3x3"
if n_pics == 10:
tile = "5x2"
if n_pics == 12:
tile = "4x3"
files = ""
outfile = ""
files_exist = True
nr_files_exist = 0
files_complete = True
for mfile in montage:
print(' analyse first filename', mfile)
rgb = mfile.split("_")[1]
outputDir = format_name(in_msg.outputDir,
time_slot,
rgb=rgb,
area=area)
next_file = outputDir + "/" + format_name(
mfile + '-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
if not isfile(next_file):
files_complete = False
print("*** Warning, can not find " + mfile + " file: " +
next_file)
if area in [
"ccs4", "EuropeCanaryS95", "odysseyS25",
"euroHDready", "SeviriDiskFull00S4"
]:
# produce image with placeholder for missing product
files += " " + "/opt/users/common/logos/missing_product_textbox_" + area + ".png"
outfile += mfile[mfile.index("_") + 1:] + "-"
else:
print("*** ERROR, can not find " + mfile + " file: " +
next_file)
print("*** skip montage: ", montage)
files_exist = False
else:
files += " " + outputDir + "/" + format_name(
mfile + '-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
nr_files_exist += 1
outfile += mfile[mfile.index("_") + 1:] + "-"
outputDir = format_name(in_msg.outputDir,
time_slot,
rgb=outfile[:-1],
area=area)
if not exists(outputDir):
if in_msg.verbose:
print('... create output directory: ' + outputDir)
makedirs(outputDir)
montage_name = deepcopy(outfile[:-1])
outfile = outputDir + "/" + format_name(
"MSG_" + outfile[:-1] + '-' + area + '_%y%m%d%H%M.png',
time_slot,
area=area)
#filename1 = format_name(mfile+'-'+area+'_%y%m%d%H%M.png', time_slot, area=area)
#file1 = outputDir + filename1
#filename2 = format_name(montage[1]+'-'+area+'_%y%m%d%H%M.png', time_slot, area=area)
#file2 = outputDir + filename2
#m1 = montage[1][montage[1].index("_")+1:] # get rid all strings before "_" (filename convection of SAT live)
#outfilename = format_name(montage[0]+'-'+m1+"-"+area+'_%y%m%d%H%M.png', time_slot, area=area)
#outfile = outputDir + outfilename
if files_exist and nr_files_exist > 0:
if in_msg.verbose:
print("/usr/bin/montage -tile " + tile +
" -geometry +0+0 " + files + " " + outfile +
" 2>&1 " + sleep_str)
subprocess.call("/usr/bin/montage -tile " + tile +
" -geometry +0+0 " + files + " " + outfile +
" 2>&1 " + sleep_str,
shell=True)
if hasattr(in_msg, 'resize_montage'):
if in_msg.resize_montage != 100:
if in_msg.verbose:
print("/usr/bin/convert -resize " +
str(in_msg.resize_montage) + "% " + outfile +
" tmp.png 2>&1 " + sleep_str)
subprocess.call("/usr/bin/convert -resize " +
str(in_msg.resize_montage) + "% " +
outfile + " tmp.png; mv tmp.png " +
outfile + " 2>&1 ",
shell=True)
# check if file is produced
if isfile(outfile) and files_complete:
montage_done.append(montage)
if in_msg.scpOutput:
if (montage in in_msg.scpProducts) or ('all' in [
x.lower()
for x in in_msg.scpProducts if type(x) == str
]):
scpOutputDir = format_name(in_msg.scpOutputDir,
time_slot,
area=area,
rgb=montage_name,
sat=in_msg.sat,
sat_nr=sat_nr)
if in_msg.verbose:
print(" /usr/bin/scp " + in_msg.scpID + " " +
outfile + " " + scpOutputDir + " 2>&1 &")
subprocess.call("/usr/bin/scp " + in_msg.scpID + " " +
outfile + " " + scpOutputDir +
" 2>&1 &",
shell=True)
if in_msg.scpOutput and (in_msg.scpID2
is not None) and (in_msg.scpOutputDir2
is not None):
if (montage in in_msg.scpProducts2) or ('all' in [
x.lower()
for x in in_msg.scpProducts2 if type(x) == str
]):
scpOutputDir2 = format_name(in_msg.scpOutputDir2,
time_slot,
area=area,
rgb=montage_name,
sat=in_msg.sat,
sat_nr=sat_nr)
if in_msg.compress_to_8bit:
if in_msg.verbose:
print(" scp " + in_msg.scpID2 + " " +
outfile.replace(".png", "-fs8.png") +
" " + scpOutputDir2 + " 2>&1 &")
subprocess.call(
"scp " + in_msg.scpID2 + " " +
outfile.replace(".png", "-fs8.png") + " " +
scpOutputDir2 + " 2>&1 &",
shell=True)
else:
if in_msg.verbose:
print(" scp " + in_msg.scpID2 + " " +
outfile + " " + scpOutputDir2 +
" 2>&1 &")
subprocess.call("scp " + in_msg.scpID2 + " " +
outfile + " " + scpOutputDir2 +
" 2>&1 &",
shell=True)
if in_msg.verbose:
if len(montage_done) > 0:
print("... produced montages: ")
for montage in montage_done:
print(" ", montage)
else:
if len(postprocessing_montage) > 0:
if len(postprocessing_montage[0]) > 0:
print("*** Warning, no montages produced (requested ",
postprocessing_montage, ")")
return composites_done, montage_done
def plot_msg_minus_cosmo(in_msg):
# do statistics for the last full hour (minutes=0, seconds=0)
in_msg.datetime = datetime(in_msg.datetime.year, in_msg.datetime.month,
in_msg.datetime.day, in_msg.datetime.hour, 0, 0)
area_loaded = choose_area_loaded_msg(in_msg.sat, in_msg.sat_nr,
in_msg.datetime)
# define contour write for coasts, borders, rivers
cw = ContourWriterAGG(in_msg.mapDir)
# check if input data is complete
if in_msg.verbose:
print("*** check input data for ", in_msg.sat_str())
RGBs = check_input(in_msg,
in_msg.sat_str(layout="%(sat)s") + in_msg.sat_nr_str(),
in_msg.datetime)
# in_msg.sat_nr might be changed to backup satellite
if in_msg.verbose:
print('*** Create plots for ')
print(' Satellite/Sensor: ' + in_msg.sat_str())
print(' Satellite number: ' + in_msg.sat_nr_str() + ' // ' +
str(in_msg.sat_nr))
print(' Satellite instrument: ' + in_msg.instrument)
print(' Date/Time: ' + str(in_msg.datetime))
print(' RGBs: ', in_msg.RGBs)
print(' Area: ', in_msg.areas)
print(' reader level: ', in_msg.reader_level)
# define satellite data object
#global_data = GeostationaryFactory.create_scene(in_msg.sat, in_msg.sat_nr_str(), "seviri", in_msg.datetime)
global_data = GeostationaryFactory.create_scene(in_msg.sat_str(),
in_msg.sat_nr_str(),
in_msg.instrument,
in_msg.datetime)
# global_data = GeostationaryFactory.create_scene("msg-ot", "", "Overshooting_Tops", in_msg.datetime)
if len(RGBs) == 0 and len(in_msg.postprocessing_areas) == 0:
return RGBs
if in_msg.verbose:
print(
"*** load satellite channels for " + in_msg.sat_str() +
in_msg.sat_nr_str() + " ", global_data.fullname)
# initialize processed RGBs
RGBs_done = []
# -------------------------------------------------------------------
# load reflectivities, brightness temperatures, NWC-SAF products ...
# -------------------------------------------------------------------
area_loaded = load_products(global_data, RGBs, in_msg, area_loaded)
cosmo_input_file = "input_cosmo_cronjob.py"
print("... read COSMO input file: ", cosmo_input_file)
in_cosmo = parse_commandline_and_read_inputfile(
input_file=cosmo_input_file)
# add composite
in_msg.scpOutput = True
in_msg.resize_montage = 70
in_msg.postprocessing_montage = [[
"MSG_IR-108cpc", "COSMO_SYNMSG-BT-CL-IR10.8",
"MSG_IR-108-COSMO-minus-MSGpc"
]]
in_msg.scpProducts = [[
"MSG_IR-108cpc", "COSMO_SYNMSG-BT-CL-IR10.8",
"MSG_IR-108-COSMO-minus-MSGpc"
]]
#in_msg.scpProducts = ["all"]
# define satellite data object
cosmo_data = GeostationaryFactory.create_scene(in_cosmo.sat_str(),
in_cosmo.sat_nr_str(),
in_cosmo.instrument,
in_cosmo.datetime)
area_loaded_cosmo = load_products(cosmo_data, ['SYNMSG_BT_CL_IR10.8'],
in_cosmo, area_loaded)
# preprojecting the data to another area
# --------------------------------------
if len(RGBs) > 0:
for area in in_msg.areas:
print("")
obj_area = get_area_def(area)
if area != 'ccs4':
print("*** WARNING, diff MSG-COSMO only implemented for ccs4")
continue
# reproject data to new area
print(area_loaded)
if obj_area == area_loaded:
if in_msg.verbose:
print("*** Use data for the area loaded: ", area)
#obj_area = area_loaded
data = global_data
resolution = 'l'
else:
if in_msg.verbose:
print("*** Reproject data to area: ", area,
"(org projection: ", area_loaded.name, ")")
obj_area = get_area_def(area)
# PROJECT data to new area
data = global_data.project(area, precompute=True)
resolution = 'i'
if in_msg.parallax_correction:
loaded_products = [chn.name for chn in data.loaded_channels()]
if 'CTH' not in loaded_products:
print("*** Error in plot_msg (" +
inspect.getfile(inspect.currentframe()) + ")")
print(
" Cloud Top Height is needed for parallax correction "
)
print(
" either load CTH or specify the estimation of the CTH in the input file (load 10.8 in this case)"
)
quit()
if in_msg.verbose:
print(
" perform parallax correction for loaded channels: ",
loaded_products)
data = data.parallax_corr(fill=in_msg.parallax_gapfilling,
estimate_cth=in_msg.estimate_cth,
replace=True)
# save reprojected data
if area in in_msg.save_reprojected_data:
save_reprojected_data(data, area, in_msg)
# apply a mask to the data (switched off at the moment)
if False:
mask_data(data, area)
# save average values
if in_msg.save_statistics:
mean_array = zeros(len(RGBs))
#statisticFile = '/data/COALITION2/database/meteosat/ccs4/'+yearS+'/'+monthS+'/'+dayS+'/MSG_'+area+'_'+yearS[2:]+monthS+dayS+'.txt'
statisticFile = './' + yearS + '-' + monthS + '-' + dayS + '/MSG_' + area + '_' + yearS[
2:] + monthS + dayS + '.txt'
if in_msg.verbose:
print("*** write statistics (average values) to " +
statisticFile)
f1 = open(statisticFile, 'a') # mode append
i_rgb = 0
for rgb in RGBs:
if rgb in products.MSG_color:
mean_array[i_rgb] = data[rgb.replace("c",
"")].data.mean()
i_rgb = i_rgb + 1
# create string to write
str2write = dateS + ' ' + hourS + ' : ' + minS + ' UTC '
for mm in mean_array:
str2write = str2write + ' ' + "%7.2f" % mm
str2write = str2write + "\n"
f1.write(str2write)
f1.close()
# creating plots/images
if in_msg.make_plots:
# choose map resolution
in_msg.resolution = choose_map_resolution(
area, in_msg.mapResolution)
# define area
proj4_string = obj_area.proj4_string
# e.g. proj4_string = '+proj=geos +lon_0=0.0 +a=6378169.00 +b=6356583.80 +h=35785831.0'
area_extent = obj_area.area_extent
# e.g. area_extent = (-5570248.4773392612, -5567248.074173444, 5567248.074173444, 5570248.4773392612)
area_tuple = (proj4_string, area_extent)
RGBs = ['IR_108-COSMO-minus-MSG']
print(data['IR_108'].data.shape)
print(cosmo_data['SYNMSG_BT_CL_IR10.8'].data.shape)
diff_MSG_COSMO = cosmo_data['SYNMSG_BT_CL_IR10.8'].data - data[
'IR_108'].data
HRV_enhance_str = ''
# add IR difference as "channel object" to satellite regional "data" object
data.channels.append(
Channel(name=RGBs[0],
wavelength_range=[0., 0., 0.],
resolution=data['IR_108'].resolution,
data=diff_MSG_COSMO))
for rgb in RGBs:
if not check_loaded_channels(rgb, data):
continue
PIL_image = create_PIL_image(rgb,
data,
in_msg,
obj_area=obj_area)
# !!! in_msg.colorbar[rgb] is initialized inside (give attention to rgbs) !!!
add_borders_and_rivers(PIL_image,
cw,
area_tuple,
add_borders=in_msg.add_borders,
border_color=in_msg.border_color,
add_rivers=in_msg.add_rivers,
river_color=in_msg.river_color,
resolution=in_msg.resolution,
verbose=in_msg.verbose)
# indicate mask
if in_msg.indicate_mask:
PIL_image = indicate_mask(rgb, PIL_image, data,
in_msg.verbose)
#if area.find("EuropeCanary") != -1 or area.find("ccs4") != -1:
dc = DecoratorAGG(PIL_image)
# add title to image
if in_msg.add_title:
add_title(PIL_image,
in_msg.title,
HRV_enhance_str + rgb,
in_msg.sat_str(),
data.sat_nr(),
in_msg.datetime,
area,
dc,
in_msg.font_file,
in_msg.verbose,
title_color=in_msg.title_color,
title_y_line_nr=in_msg.title_y_line_nr
) # !!! needs change
# add MeteoSwiss and Pytroll logo
if in_msg.add_logos:
if in_msg.verbose:
print('... add logos')
dc.align_right()
if in_msg.add_colorscale:
dc.write_vertically()
if PIL_image.mode != 'L':
height = 60 # height=60.0 normal resolution
dc.add_logo(in_msg.logos_dir + "/pytroll3.jpg",
height=height) # height=60.0
dc.add_logo(in_msg.logos_dir + "/meteoSwiss3.jpg",
height=height)
dc.add_logo(
in_msg.logos_dir +
"/EUMETSAT_logo2_tiny_white_square.png",
height=height) # height=60.0
# add colorscale
if in_msg.add_colorscale and in_msg.colormap[rgb] != None:
if rgb in products.MSG_color:
unit = data[rgb.replace("c", "")].info['units']
#elif rgb in products.MSG or rgb in products.NWCSAF or rgb in products.HSAF:
# unit = data[rgb].info['units']
else:
unit = None
loaded_channels = [
chn.name for chn in data.loaded_channels()
]
if rgb in loaded_channels:
if hasattr(data[rgb], 'info'):
print(" hasattr(data[rgb], 'info')",
list(data[rgb].info.keys()))
if 'units' in list(data[rgb].info.keys()):
print(
"'units' in data[rgb].info.keys()")
unit = data[rgb].info['units']
print("... units = ", unit)
add_colorscale(dc, rgb, in_msg, unit=unit)
if in_msg.parallax_correction:
parallax_correction_str = 'pc'
else:
parallax_correction_str = ''
rgb += parallax_correction_str
# create output filename
outputDir = format_name(
in_msg.outputDir,
data.time_slot,
area=area,
rgb=rgb,
sat=data.satname,
sat_nr=data.sat_nr()) # !!! needs change
outputFile = outputDir + "/" + format_name(
in_msg.outputFile,
data.time_slot,
area=area,
rgb=rgb,
sat=data.satname,
sat_nr=data.sat_nr()) # !!! needs change
# check if output directory exists, if not create it
path = dirname(outputFile)
if not exists(path):
if in_msg.verbose:
print('... create output directory: ' + path)
makedirs(path)
# save file
if exists(outputFile) and not in_msg.overwrite:
if stat(outputFile).st_size > 0:
print('... outputFile ' + outputFile +
' already exists (keep old file)')
else:
print(
'*** Warning, outputFile' + outputFile +
' already exists, but is empty (overwrite file)'
)
PIL_image.save(outputFile, optimize=True
) # optimize -> minimize file size
chmod(
outputFile, 0o777
) ## FOR PYTHON3: 0o664 # give access read/write access to group members
else:
if in_msg.verbose:
print('... save final file: ' + outputFile)
PIL_image.save(
outputFile,
optimize=True) # optimize -> minimize file size
chmod(
outputFile, 0o777
) ## FOR PYTHON3: 0o664 # give access read/write access to group members
if in_msg.compress_to_8bit:
if in_msg.verbose:
print('... compress to 8 bit image: display ' +
outputFile.replace(".png", "-fs8.png") +
' &')
subprocess.call(
"/usr/bin/pngquant -force 256 " + outputFile +
" 2>&1 &",
shell=True) # 256 == "number of colors"
#if in_msg.verbose:
# print " add coastlines to "+outputFile
## alternative: reopen image and modify it (takes longer due to additional reading and saving)
#cw.add_rivers_to_file(img, area_tuple, level=5, outline='blue', width=0.5, outline_opacity=127)
#cw.add_coastlines_to_file(outputFile, obj_area, resolution=resolution, level=4)
#cw.add_borders_to_file(outputFile, obj_area, outline=outline, resolution=resolution)
# secure copy file to another place
if in_msg.scpOutput:
if (rgb in in_msg.scpProducts) or ('all' in [
x.lower()
for x in in_msg.scpProducts if type(x) == str
]):
scpOutputDir = format_name(in_msg.scpOutputDir,
data.time_slot,
area=area,
rgb=rgb,
sat=data.satname,
sat_nr=data.sat_nr())
if in_msg.compress_to_8bit:
if in_msg.verbose:
print("... secure copy " +
outputFile.replace(
".png", "-fs8.png") + " to " +
scpOutputDir)
subprocess.call(
"scp " + in_msg.scpID + " " +
outputFile.replace(".png", "-fs8.png") +
" " + scpOutputDir + " 2>&1 &",
shell=True)
else:
if in_msg.verbose:
print("... secure copy " + outputFile +
" to " + scpOutputDir)
subprocess.call("scp " + in_msg.scpID + " " +
outputFile + " " +
scpOutputDir + " 2>&1 &",
shell=True)
if in_msg.scpOutput and in_msg.scpID2 != None and in_msg.scpOutputDir2 != None:
if (rgb in in_msg.scpProducts2) or ('all' in [
x.lower()
for x in in_msg.scpProducts2 if type(x) == str
]):
scpOutputDir2 = format_name(in_msg.scpOutputDir2,
data.time_slot,
area=area,
rgb=rgb,
sat=data.satname,
sat_nr=data.sat_nr())
if in_msg.compress_to_8bit:
if in_msg.verbose:
print("... secure copy " +
outputFile.replace(
".png", "-fs8.png") + " to " +
scpOutputDir2)
subprocess.call(
"scp " + in_msg.scpID2 + " " +
outputFile.replace(".png", "-fs8.png") +
" " + scpOutputDir2 + " 2>&1 &",
shell=True)
else:
if in_msg.verbose:
print("... secure copy " + outputFile +
" to " + scpOutputDir2)
subprocess.call("scp " + in_msg.scpID2 + " " +
outputFile + " " +
scpOutputDir2 + " 2>&1 &",
shell=True)
if 'ninjotif' in in_msg.outputFormats:
ninjotif_file = format_name(outputDir + '/' +
in_msg.ninjotifFilename,
data.time_slot,
sat_nr=data.sat_nr(),
RSS=in_msg.RSS,
area=area,
rgb=rgb)
from plot_coalition2 import pilimage2geoimage
GEO_image = pilimage2geoimage(PIL_image, obj_area,
data.time_slot)
GEO_image.save(ninjotif_file,
fformat='mpop.imageo.formats.ninjotiff',
ninjo_product_name=rgb,
chan_id=products.ninjo_chan_id[
rgb.replace("_", "-") + "_" + area],
nbits=8)
chmod(ninjotif_file, 0o777)
print(("... save ninjotif image: display ",
ninjotif_file, " &"))
if rgb not in RGBs_done:
RGBs_done.append(rgb)
## start postprocessing
for area in in_msg.postprocessing_areas:
postprocessing(in_msg, global_data.time_slot, int(data.sat_nr()),
area)
if in_msg.verbose:
print(" ")
return RGBs_done
def plot_msg(in_msg):
# get date of the last SEVIRI observation
if in_msg.datetime == None:
in_msg.get_last_SEVIRI_date()
yearS = str(in_msg.datetime.year)
#yearS = yearS[2:]
monthS = "%02d" % in_msg.datetime.month
dayS = "%02d" % in_msg.datetime.day
hourS = "%02d" % in_msg.datetime.hour
minS = "%02d" % in_msg.datetime.minute
dateS=yearS+'-'+monthS+'-'+dayS
timeS=hourS+'-'+minS
if in_msg.sat_nr==None:
in_msg.sat_nr=choose_msg(in_msg.datetime,in_msg.RSS)
if in_msg.datetime.year > 2012:
if in_msg.sat_nr == 8:
area_loaded = get_area_def("EuropeCanary35")
elif in_msg.sat_nr == 9: # rapid scan service satellite
area_loaded = get_area_def("EuropeCanary95")
elif in_msg.sat_nr == 10: # default satellite
area_loaded = get_area_def("met09globeFull") # full disk service, like EUMETSATs NWC-SAF products
elif in_msg.sat_nr == 0: # fake satellite for reprojected ccs4 data in netCDF
area_loaded = get_area_def("ccs4") #
#area_loaded = get_area_def("EuropeCanary")
#area_loaded = get_area_def("alps") # new projection of SAM
else:
print("*** Error, unknown satellite number ", in_msg.sat_nr)
area_loaded = get_area_def("hsaf") #
else:
if in_msg.sat_nr == 8:
area_loaded = get_area_def("EuropeCanary95")
elif in_msg.sat_nr == 9: # default satellite
area_loaded = get_area_def("EuropeCanary")
# define contour write for coasts, borders, rivers
cw = ContourWriterAGG(in_msg.mapDir)
if type(in_msg.sat_nr) is int:
sat_nr_str = str(in_msg.sat_nr).zfill(2)
elif type(in_msg.sat_nr) is str:
sat_nr_str = in_msg.sat_nr
else:
print("*** Waring, unknown type of sat_nr", type(in_msg.sat_nr))
sat_nr_str = in_msg.sat_nr
if in_msg.verbose:
print('*** Create plots for ')
print(' Satellite/Sensor: '+in_msg.sat + ' ' + sat_nr_str)
print(' Date/Time: '+dateS +' '+hourS+':'+minS+'UTC')
print(' RGBs: ', in_msg.RGBs)
print(' Area: ', in_msg.areas)
# check if input data is complete
if in_msg.verbose:
print("*** check input data")
RGBs = check_input(in_msg, in_msg.sat+sat_nr_str, in_msg.datetime)
if len(RGBs) != len(in_msg.RGBs):
print("*** Warning, input not complete.")
print("*** Warning, process only: ", RGBs)
# define satellite data object
global_data = GeostationaryFactory.create_scene(in_msg.sat, sat_nr_str, "seviri", in_msg.datetime)
# print "type(global_data) ", type(global_data) # <class 'mpop.scene.SatelliteInstrumentScene'>
# print "dir(global_data)", dir(global_data) [..., '__init__', ... 'area', 'area_def', 'area_id', 'channel_list', 'channels',
# 'channels_to_load', 'check_channels', 'fullname', 'get_area', 'image', 'info', 'instrument_name', 'lat', 'load', 'loaded_channels',
# 'lon', 'number', 'orbit', 'project', 'remove_attribute', 'satname', 'save', 'set_area', 'time_slot', 'unload', 'variant']
## define satellite data object one scan before
#if in_msg.RSS:
# scan_time = 5 # min
#else:
# scan_time = 15 # min
scan_time = 15 # min
datetime_m1 = in_msg.datetime - timedelta(minutes=scan_time)
global_data_m1 = GeostationaryFactory.create_scene(in_msg.sat, sat_nr_str, "seviri", datetime_m1)
if len(RGBs) == 0:
return RGBs
if in_msg.verbose:
print("*** load satellite channels for "+in_msg.sat+sat_nr_str+" ", global_data.fullname)
# initialize processed RGBs
RGBs_done=[]
# load reflectivities, brightness temperatures, NWC-SAF products ...
print("*** read ", str(in_msg.datetime))
area_loaded = load_products(global_data, RGBs, in_msg, area_loaded)
#print "*** read ", str(datetime_m1)
#area_loaded = load_products(global_data_m1, RGBs, in_msg, area_loaded)
# check if all prerequisites are loaded
#rgb_complete = []
#for rgb in RGBs:
# all_loaded = True
# if rgb in products.RGBs_buildin or rgb in products.RGB_user:
# obj_image = get_image(global_data, rgb)
# for pre in obj_image.prerequisites:
# if pre not in loaded_channels:
# all_loaded = False
# elif rgb in products.MSG_color:
# if rgb.replace("c","") not in loaded_channels:
# all_loaded = False
# else:
# if rgb not in loaded_channels:
# all_loaded = False
# if all_loaded:
# rgb_complete.append(rgb)
#print "rgb_complete", rgb_complete
# preprojecting the data to another area
# --------------------------------------
for area in in_msg.areas:
print("")
obj_area = get_area_def(area)
# reproject data to new area
if obj_area == area_loaded:
if in_msg.verbose:
print("*** Use data for the area loaded: ", area)
#obj_area = area_loaded
data = global_data
data_m1 = global_data_m1
resolution='l'
else:
if in_msg.verbose:
print("*** Reproject data to area: ", area, "(org projection: ", area_loaded.name, ")")
obj_area = get_area_def(area)
# PROJECT data to new area
data = global_data.project(area, precompute=True)
data_m1 = global_data_m1.project(area, precompute=True)
resolution='i'
loaded_products = [chn.name for chn in data.loaded_channels()]
print(loaded_products)
#loaded_products_m1 = [chn.name for chn in data_m1.loaded_channels()]
#print loaded_products_m1
#for prod in loaded_products:
# print "xxx ", prod
# print data_m1[prod]
# data[prod] = data[prod] - data_m1[prod] #
# save reprojected data
if area in in_msg.save_reprojected_data:
save_reprojected_data(data, area, in_msg)
# apply a mask to the data (switched off at the moment)
if False:
mask_data(data, area)
# save average values
if in_msg.save_statistics:
mean_array = zeros(len(RGBs))
#statisticFile = '/data/COALITION2/database/meteosat/ccs4/'+yearS+'/'+monthS+'/'+dayS+'/MSG_'+area+'_'+yearS[2:]+monthS+dayS+'.txt'
statisticFile = './'+yearS+'-'+monthS+'-'+dayS+'/MSG_'+area+'_'+yearS[2:]+monthS+dayS+'.txt'
if in_msg.verbose:
print("*** write statistics (average values) to "+statisticFile)
f1 = open(statisticFile,'a') # mode append
i_rgb=0
for rgb in RGBs:
if rgb in products.MSG_color:
mean_array[i_rgb]=data[rgb.replace("c","")].data.mean()
i_rgb=i_rgb+1
# create string to write
str2write = dateS +' '+hourS+' : '+minS+' UTC '
for mm in mean_array:
str2write = str2write+' '+ "%7.2f" % mm
str2write = str2write+"\n"
f1.write(str2write)
f1.close()
# creating plots/images
if in_msg.make_plots:
# choose map resolution
resolution = choose_map_resolution(area, in_msg.mapResolution)
# define area
proj4_string = obj_area.proj4_string
# e.g. proj4_string = '+proj=geos +lon_0=0.0 +a=6378169.00 +b=6356583.80 +h=35785831.0'
area_extent = obj_area.area_extent
# e.g. area_extent = (-5570248.4773392612, -5567248.074173444, 5567248.074173444, 5570248.4773392612)
area_tuple = (proj4_string, area_extent)
for rgb in RGBs:
PIL_image = create_PIL_image(rgb, data, in_msg) # !!! in_msg.colorbar[rgb] is initialized inside (give attention to rgbs) !!!
if in_msg.add_rivers:
if in_msg.verbose:
print(" add rivers to image (resolution="+resolution+")")
cw.add_rivers(PIL_image, area_tuple, outline='blue', resolution=resolution, outline_opacity=127, width=0.5, level=5) #
if in_msg.verbose:
print(" add lakes to image (resolution="+resolution+")")
cw.add_coastlines(PIL_image, area_tuple, outline='blue', resolution=resolution, outline_opacity=127, width=0.5, level=2) #, outline_opacity=0
if in_msg.add_borders:
if in_msg.verbose:
print(" add coastlines to image (resolution="+resolution+")")
cw.add_coastlines(PIL_image, area_tuple, outline=(255, 0, 0), resolution=resolution, width=1) #, outline_opacity=0
if in_msg.verbose:
print(" add borders to image (resolution="+resolution+")")
cw.add_borders(PIL_image, area_tuple, outline=(255, 0, 0), resolution=resolution, width=1) #, outline_opacity=0
#if area.find("EuropeCanary") != -1 or area.find("ccs4") != -1:
dc = DecoratorAGG(PIL_image)
# add title to image
if in_msg.add_title:
add_title(PIL_image, rgb, int(data.number), dateS, hourS, minS, area, dc, in_msg.font_file, in_msg.verbose )
# add MeteoSwiss and Pytroll logo
if in_msg.add_logos:
if in_msg.verbose:
print('... add logos')
dc.align_right()
if in_msg.add_colorscale:
dc.write_vertically()
dc.add_logo("../logos/meteoSwiss3.jpg",height=60.0)
dc.add_logo("../logos/pytroll3.jpg",height=60.0)
# add colorscale
if in_msg.add_colorscale and in_msg.colormap[rgb] != None:
add_colorscale(dc, rgb, in_msg)
# create output filename
outputDir = format_name(in_msg.outputDir, data.time_slot, area=area, rgb=rgb, sat_nr=data.number)
outputFile = outputDir + format_name(in_msg.outputFile, data.time_slot, area=area, rgb=rgb, sat_nr=data.number)
# check if output directory exists, if not create it
path= dirname(outputFile)
if not exists(path):
if in_msg.verbose:
print('... create output directory: ' + path)
makedirs(path)
# save file
if in_msg.verbose:
print('... save final file :' + outputFile)
PIL_image.save(outputFile, optimize=True) # optimize -> minimize file size
if in_msg.compress_to_8bit:
if in_msg.verbose:
print('... compress to 8 bit image: display '+outputFile.replace(".png","-fs8.png")+' &')
subprocess.call("/usr/bin/pngquant -force 256 "+outputFile+" 2>&1 &", shell=True) # 256 == "number of colors"
#if in_msg.verbose:
# print " add coastlines to "+outputFile
## alternative: reopen image and modify it (takes longer due to additional reading and saving)
#cw.add_rivers_to_file(img, area_tuple, level=5, outline='blue', width=0.5, outline_opacity=127)
#cw.add_coastlines_to_file(outputFile, obj_area, resolution=resolution, level=4)
#cw.add_borders_to_file(outputFile, obj_area, outline=outline, resolution=resolution)
# copy to another place
if in_msg.scpOutput:
if in_msg.verbose:
print("... secure copy "+outputFile+ " to "+in_msg.scpOutputDir)
subprocess.call("scp "+in_msg.scpID+" "+outputFile+" "+in_msg.scpOutputDir+" 2>&1 &", shell=True)
if in_msg.compress_to_8bit:
if in_msg.verbose:
print("... secure copy "+outputFile.replace(".png","-fs8.png")+ " to "+in_msg.scpOutputDir)
subprocess.call("scp "+in_msg.scpID+" "+outputFile.replace(".png","-fs8.png")+" "+in_msg.scpOutputDir+" 2>&1 &", shell=True)
if rgb not in RGBs_done:
RGBs_done.append(rgb)
## start postprocessing
if area in in_msg.postprocessing_areas:
postprocessing(in_msg, global_data.time_slot, data.number, area)
if in_msg.verbose:
print(" ")
return RGBs_done