Commit 7b49b8c5 authored by ph290's avatar ph290
Browse files

making sure that parallel jobs are cleaned up after running

parent 291a0dd6
......@@ -130,7 +130,7 @@ def run_model(domain_file_name,lats_lons,year,start_year,unique_job_id,met_data_
if lon_domain_tmp < 0.0:
lon_domain_tmp = 360.0+lon_domain_tmp
# forcing_lat_lon = closest(lats_lons, float(lat_domain[i]),float(lon_domain[i]))
print i
# print i
# print str(forcing_lat_lon[0])
# print str(forcing_lat_lon[1])
# print str(float(lat_domain[i]))
......@@ -241,8 +241,8 @@ unique_job_id = str(uuid.uuid4())
num_lines = sum(1 for line in open(base_directory+'domain/'+domain_file_name)) - 1
# num_lines = 10'tar -C '+met_data_temporary_location+' -zxvf '+met_data_location+'met_data_'+str(start_year)+'.tar.gz', shell=True)
print 'initial unzipping of met data to extrcat lat and lon data''tar -C '+met_data_temporary_location+' -zxf '+met_data_location+'met_data_'+str(start_year)+'.tar.gz', shell=True)
files = glob.glob(met_data_temporary_location+'*_'+str(start_year)+'.dat')
w, h = 2, len(files) ;
......@@ -266,15 +266,17 @@ for i,file in enumerate(files):
# pool.close()
print 'looping through years'
for year in range(start_year,end_year+1):
print year
#clean up and prexisting met files
files_to_delete = glob.glob(met_data_temporary_location+'*.dat')
[os.remove(f) for f in files_to_delete]
print 'no met files to clean up''tar -C '+met_data_temporary_location+' -zxvf '+met_data_location+'met_data_'+str(year)+'.tar.gz', shell=True)'tar -C '+met_data_temporary_location+' -zxf '+met_data_location+'met_data_'+str(year)+'.tar.gz', shell=True)
shutil.move(output_directory+output_file_name+'_'+str(year), output_directory+output_file_name+'_'+str(year)+'_previous')
......@@ -298,7 +300,7 @@ for year in range(start_year,end_year+1):
[os.remove(f) for f in files_to_delete]
print 'no met files to clean up'
remove_files = glob.glob(base_directory+'main/*'+unique_job_id+'*')
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