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Lozac'h Loic authored6e5e3135
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from theiacesprodapp.backend.servicemanager import SSMManager
from theiacesprodapp.backend.service.calibration import OrthorectifySentinel1
from theiacesprodapp.backend.service.ssmproduction import SSMProduction
from theiacesprodapp.backend.service.preprocess import gapfilling_pipeline, gpm_pipeline, ndvi_pipeline, processrgp_pipeline, slope_pipeline, stack_pipeline
from theiacesprodapp.backend.service.download import ClimateDataSystem, Microsoft_Stac_Catalog, SentinelEodag, Dataspace_Copernicus_Catalog
from django.conf import settings
def run(*args):
try:
print(args)
split_args = list(args) #shlex.split(args[0])
choix = args[0]
split_args.pop(0)
argsdict={}
for arg in split_args:
argsdict[arg.split("@")[0]]=arg.split("@")[1]
if arg.split("@")[0] in ['overwrite', 'addtodb','debug']:
argsdict[arg.split("@")[0]]=bool(int(arg.split("@")[1]))
if arg.split("@")[0] in ['slopevalue', 'prodtypenum']:
argsdict[arg.split("@")[0]] = int(arg.split("@")[1])
if arg.split("@")[1] == 'none' :
argsdict[arg.split("@")[0]]=None
except :
choix = None
if "debug" in argsdict :
if argsdict["debug"] :
# logger.setLevel(logging.DEBUG)
settings.DEBUG = True
else:
settings.DEBUG = False
else:
settings.DEBUG = False
if choix == "autossmfr":
parametres={
#attribut download
"agriref":argsdict["agriref"],
"zone":argsdict["zone"],
"aoifile":argsdict["aoifile"],
"landusemap":argsdict["landusemap"],
"mrgstile":argsdict["s2tile"], #define workdir
"startdate":argsdict["sd"],
"enddate":argsdict["ed"], #0=S1-GRD,1=S2-L2A,2=S2-L3A
"sentinel1_polar_mode" : argsdict["sarmode"], #choices=['vv', 'vh', 'vvvh']
"rgpshp":argsdict["rgpshp"],
"rpg_pub_year":argsdict["rpg_pub_year"],
"labelsfield":argsdict["labelsfield"],
"landusefield":argsdict["landusefield"],
"agrivalues": argsdict["agrivalues"],
"tfmodel_dir": argsdict["modeldir"],
'tfmodel_choice':argsdict["modelchoice"], #["dry","wet"],
'slope_value':argsdict["slopevalue"],
'outformat':argsdict["outformat"],# choices=['raster', 'csv'],
"skipdownloads":argsdict["skipdownloads"],
'addtodb':argsdict["addtodb"],
"overwrite":argsdict["overwrite"],
"debug":argsdict["debug"],
}
autop = SSMManager(parametres)
autop.autoprodssmfr()
print("Wrapper done.")
elif choix == "autossmww":
parametres={
#attribut download
"agriref":argsdict["agriref"], #user zone
"zone":argsdict["zone"],
"aoifile":argsdict["aoifile"],
"landusemap":argsdict["landusemap"],
"mrgstile":argsdict["s2tile"], #user zone
"startdate":argsdict["sd"],
"enddate":argsdict["ed"],
"rgpshp":argsdict["rgpshp"],
"labelsfield":argsdict["labelsfield"],
"landusefield":argsdict["landusefield"],
"agrivalues": argsdict["agrivalues"],
"tfmodel_dir": argsdict["modeldir"],
'tfmodel_choice':argsdict["modelchoice"], #["dry","wet"],
'slope_value':argsdict["slopevalue"],
"sentinel1_polar_mode":argsdict["sarmode"],
'outformat':argsdict["outformat"],
"skipdownloads":argsdict["skipdownloads"],
"overwrite":argsdict["overwrite"],
"debug":argsdict["debug"],
}
autop = SSMManager(parametres)
autop.autoprodssmww()
print("Wrapper done.")
elif choix == "calibration":
parametres={
#attribut download
"sentinel1_L1A_zip_dir":argsdict["indir"], #define workdir
"reference_image_file":argsdict["inref"],
"mrgstile":argsdict["mrgstile"], #0=S1-GRD,1=S2-L2A,2=S2-L3A
"s1_ortho_dir" : argsdict["outdir"], #choices=['vv', 'vh', 'vvvh']
"sentinel1_polar_mode":argsdict["polar"],
"sentinel1_incidence_type":argsdict["theta"],
"overwrite":argsdict["overwrite"],
"urlsrmt":"http://step.esa.int/auxdata/dem/SRTMGL1/",
"srtmhgtzip":"/data/SRTM/",
"geoid":"/work/python/data/egm96.grd"
}
autop = OrthorectifySentinel1(parametres)
autop.start()
print("Wrapper done.")
elif choix == "production":
parametres={
#attribut download
"agriref":"vector",
"landusemap":"",
"tfmodel_dir":argsdict["modeldir"], #define workdir
"tfmodel_choice":argsdict["modelchoice"],
"s1_ortho_dir" : argsdict["s1orthodir"],
"mrgstile":argsdict["mrgstile"],
"gapfndvidir" : argsdict["ndvidir"], #choices=['vv', 'vh', 'vvvh']
"labels_file" : argsdict["labels_file"],
"slope_file" : argsdict["slope"],
"slope_value" : argsdict["slopevalue"],
"outformat" : argsdict["outformat"],
"data_output_dir" : argsdict["outdir"],
"sentinel1_polar_mode":argsdict["polar"],
"sentinel1_incidence_type":argsdict["incid"],
"overwrite":argsdict["overwrite"],
"ssmfootprint_shpname":""
}
autop = SSMProduction(parametres)
autop.start()
print("Wrapper done.")
elif choix == "ndvi":
parametres={
#attribut download
"s2l2zipdir":argsdict["zipdir"], #define workdir
# "format":argsdict["format"],
"ndvidir" : argsdict["ndvidir"],
"mrgstile":argsdict["mrgstile"],
"overwrite":argsdict["overwrite"]
}
autop = ndvi_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "gapfill":
parametres={
#attribut download
"ndvidir":argsdict["ndvidir"], #define workdir
"interpolation":argsdict["interpolation"],
"gapfmaskdir" : argsdict["outmaskdir"],
"gapfndvidir":argsdict["outdir"],
"interpolation":argsdict["interpolation"],
"overwrite":argsdict["overwrite"]
}
autop = gapfilling_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "processrgp":
parametres={
#attribut download
"rgpshp":argsdict["rgpshp"], #define workdir
"labelsfield":argsdict["labelsfield"],
"landusefield" : argsdict["landusefield"],
"mrgstile":argsdict["mrgstile"], #0=S1-GRD,1=S2-L2A,2=S2-L3A
"agrivalues" : argsdict["agrivalues"], #choices=['vv', 'vh', 'vvvh']
"reference_image_file" : argsdict["inref"],
"processrgpdir" : argsdict["outdir"],
"overwrite":argsdict["overwrite"]
}
autop = processrgp_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "stack":
parametres={
#attribut download
"ndvidir":argsdict["ndvidir"], #define workdir
"lulc":argsdict["lulc"],
"agrivalues" : argsdict["agrivalues"],
"outdir":argsdict["outdir"]
}
autop = stack_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "slope":
parametres={
#attribut download
"srtmhgtzip":argsdict["srtmdir"], #define workdir
"reference_image_file":argsdict["modelchoice"],
"mrgstile" : argsdict["mrgstile"],
"outdir":argsdict["outdir"]
}
autop = slope_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "gpm":
parametres={
#attribut download
"s1_ortho_dir":argsdict["s1orthodir"], #define workdir
"GPM_DIR":argsdict["gpmdir"],
"mrgstile" : argsdict["mrgstile"],
"modelchoice_outdir":argsdict["outtxt"]
}
autop = gpm_pipeline(parametres)
autop.process()
print("Wrapper done.")
elif choix == "eodag":
eod = SentinelEodag()
eod.search_and_download_from_tile(argsdict["prodtypenum"], argsdict["mrgstile"], argsdict["startdate"], argsdict["enddate"], argsdict["downdir"])
print("Wrapper done.")
elif choix == "dataspace":
tilegeom = Dataspace_Copernicus_Catalog.get_wkt_tile(argsdict['mrgstile'])
collection={"s1":["SENTINEL-1",tilegeom.wkt],"s2":["SENTINEL-2",tilegeom.centroid.wkt]}
dataspace = Dataspace_Copernicus_Catalog(collection[argsdict["prodtype"]][0],argsdict["startdate"], argsdict["enddate"],
collection[argsdict["prodtype"]][1], argsdict['mrgstile'],argsdict["downdir"])
dataspace.search_dataspace_odata()
S1filelist = dataspace.download_data()
else:
print("Wrong argument.")
exit()