def view_mosaic_image_submit(rid,file_format):
if rid in processes:
print processes[rid]
if processes[rid].ready():
tmpvrt = processes[rid].get()[0]
print tmpvrt
rid2 = make_rid()
print "CALLING TRANSLATE FILES"
out_size = "5% 5%"
out_scale = "0 4096 0 255"
data_t = "Byte"
band_l = [1,2,3]
if file_format == "JPEG" or file_format == "GTiff":
out_size = "100% 100%"
if file_format == "GTiff":
out_scale = None
data_t = None
band_l = None
if rid in no_scale:
out_scale = None
processes[rid2] = chain(assemble_mosaic.s(tmpvrt),translate_files.s(file_format=file_format,output_scale=out_scale,output_size=out_size,output_datatype=data_t,output_bands=band_l,additional_arguments=None)).apply_async()
return "{\"request\":\""+rid2+"\"}"
return "{\"request\":\"WAIT\"}"
def mosaic_tci_w_submit(xa,ya,start,end,sats):
rid = make_rid()
x_arr = [int(x) for x in xa.split(',')]
y_arr = [int(y) for y in ya.split(',')]
s_arr = [Satellite[s] for s in sats.split(',')]
endDate=datetime.strptime(end,"%Y-%m-%d")
startDate=datetime.strptime(start,"%Y-%m-%d")
bands=[Ls57Arg25Bands.BLUE, Ls57Arg25Bands.GREEN, Ls57Arg25Bands.RED, Ls57Arg25Bands.NEAR_INFRARED, Ls57Arg25Bands.SHORT_WAVE_INFRARED_1, Ls57Arg25Bands.SHORT_WAVE_INFRARED_2]
expressions_list=["0.3561*band1 + 0.3972*band2 + 0.3904*band3 + 0.6966*band4 + 0.2286*band5 + 0.1596*band6",\
"-0.3344*band1 - 0.3544*band2 - 0.4556*band3 + 0.6966*band4 - 0.0242*band5 - 0.2630*band6",\
"0.2626*band1 + 0.2141*band2 + 0.0926*band3 + 0.0656*band4 - 0.7629*band5 - 0.5388*band6"]
no_scale.append(rid)
processes[rid]=chord(chord((obtain_cloudfree_mosaic.s(x,y,startDate,endDate, bands, s_arr,0,4000,4000,"GTiff",gdal.GDT_CInt16,None)|obtain_file_from_math.s(expressions_list=expressions_list,file_format="GTiff",data_type=gdal.GDT_CFloat32,input_ndv=-999,output_ndv=-999) for x in x_arr for y in y_arr),assemble_mosaic.s()),apply_color_table_to_files.s(output_band=3,color_table="/tilestore/colortables/wetness-color.txt")).apply_async()
return "{\"request\":\""+rid+"\"}"
def mosaic_ndvi_submit(xa,ya,start,end,sats):
rid = make_rid()
x_arr = [int(x) for x in xa.split(',')]
y_arr = [int(y) for y in ya.split(',')]
s_arr = [Satellite[s] for s in sats.split(',')]
endDate=datetime.strptime(end,"%Y-%m-%d")
startDate=datetime.strptime(start,"%Y-%m-%d")
bands=[Ls57Arg25Bands.RED, Ls57Arg25Bands.NEAR_INFRARED]
expressions_list=["(band2 - band1) / (band2 + band1)"]
no_scale.append(rid)
processes[rid]=chord(chord((obtain_cloudfree_mosaic.s(x,y,startDate,endDate, bands, s_arr,0,4000,4000,"GTiff",gdal.GDT_CInt16,None)|obtain_file_from_math.s(expressions_list=expressions_list,file_format="GTiff",data_type=gdal.GDT_CFloat32,input_ndv=-999,output_ndv=-999) for x in x_arr for y in y_arr),assemble_mosaic.s()),apply_color_table_to_files.s(output_band=1,color_table="/tilestore/colortables/vegetation-color.txt")).apply_async()
return "{\"request\":\""+rid+"\"}"
def submit_water_request(xa,ya,start,end,sats):
rid = make_rid()
x_arr = [int(x) for x in xa.split(',')]
y_arr = [int(y) for y in ya.split(',')]
s_arr = [Satellite[s] for s in sats.split(',')]
endDate=datetime.strptime(end,"%Y-%m-%d")
startDate=datetime.strptime(start,"%Y-%m-%d")
processes[rid] = chord(group(obtain_water_statistics.s(x,y,startDate,endDate,s_arr,None) for x in x_arr for y in y_arr), assemble_mosaic.s()).apply_async()
posQ = get_queue_length()
no_scale.append(rid)
return "{\"request\":\""+rid+"\",\"position\":\""+str(posQ)+"\"}"
def submit_mosaic_with_months_request(xa,ya,start,end,sats,ba,ma):
rid = make_rid()
x_arr = [int(x) for x in xa.split(',')]
y_arr = [int(y) for y in ya.split(',')]
s_arr = [Satellite[s] for s in sats.split(',')]
endDate=datetime.strptime(end,"%Y-%m-%d")
startDate=datetime.strptime(start,"%Y-%m-%d")
m_arr = [int(m) for m in ma.split(',')]
b_arr = []
be_arr = ba.split(',')
for s in s_arr:
for b in be_arr:
if s ==Satellite.LS5 or s==Satellite.LS7:
try:
tmp = Ls57Arg25Bands[b]
b_arr.append(tmp)
except KeyError:
pass
elif s==Satellite.LS8:
try:
tmp = Ls8Arg25Bands[b]
b_arr.append(tmp)
except KeyError:
pass
processes[rid] = chord(group(obtain_cloudfree_mosaic.s(x,y,startDate,endDate, b_arr, s_arr,0,4000,4000,"GTiff",gdal.GDT_CInt16,m_arr) for x in x_arr for y in y_arr ),assemble_mosaic.s()).apply_async()
posQ = get_queue_length()
return "{\"request\":\""+rid+"\",\"position\":\""+str(posQ)+"\"}"
def submit_preview_request(xa,ya,start,end,sats,ba):
try:
rid = make_rid()
x_arr = [int(x) for x in xa.split(',')]
y_arr = [int(y) for y in ya.split(',')]
s_arr = [Satellite[s] for s in sats.split(',')]
endDate=datetime.strptime(end,"%Y-%m-%d")
startDate=datetime.strptime(start,"%Y-%m-%d")
b_arr = []
be_arr = ba.split(',')
for s in s_arr:
for b in be_arr:
if s ==Satellite.LS5 or s==Satellite.LS7:
try:
tmp = Ls57Arg25Bands[b]
b_arr.append(tmp)
except KeyError:
pass
elif s==Satellite.LS8:
try:
tmp = Ls8Arg25Bands[b]
b_arr.append(tmp)
except KeyError:
pass
processes[rid] = chord(group(obtain_cloudfree_mosaic.s(x,y,startDate,endDate, b_arr, s_arr,5,4000,4000,"GTiff",gdal.GDT_CInt16,None) for x in x_arr for y in y_arr ),assemble_mosaic.s()).apply_async()
return "{\"request\":\""+rid+"\"}"
except:
return "{\"request\":\"WAIT\"}"