@@ -363,14 +363,31 @@ def df_to_csv(df, tile: str):
363
363
"""
364
364
365
365
'''Formating template'''
366
- df ['Data' ] = ''
367
366
df ['SpatialCoverage' ] = ''
368
367
369
368
df = df .replace (to_replace = '.TUILE.' , value = tile , regex = True )
370
369
df = df .replace (to_replace = '.DATE\]' , value = date .today ().strftime ('%Y-%m-%d' ), regex = True )
371
370
df = df .replace (to_replace = '.DATE_D.' , value = '2015' , regex = True )
372
371
df = df .replace (to_replace = '.DATE_F.' , value = '2023' , regex = True )
373
372
373
+ '''Add zip data'''
374
+ data_source = 'source:/DATA/S2/PRODUCTS/GEOFLOW/data/zip/'
375
+ data_upload_source = 'uploadSource:'
376
+ indice = ''
377
+ temporal_coverage = ['2015' , '2016' , '2017' , '2018' , '2019' , '2020' , '2021' , '2022' , '2023' ]
378
+ for i in range (0 , df .shape [0 ]):
379
+ indice = df .iloc [i , 0 ].split ('_' )[3 ] #get indice from identifier cel
380
+
381
+ for y in temporal_coverage :
382
+ if y == temporal_coverage [- 1 ]:
383
+ data_source = data_source + indice + '_' + tile + '_' + y + ".zip_\n "
384
+ data_upload_source = data_upload_source + indice + '_' + tile + '_' + y + ".zip_\n "
385
+ else :
386
+ data_source = data_source + indice + '_' + tile + '_' + y + '.zip,'
387
+ data_upload_source = data_upload_source + indice + '_' + tile + '_' + y + ".zip,"
388
+
389
+ df .iloc [i , 15 ] = data_source + "sourceType:other_\n " + data_upload_source + "uploadType:other_\n " + "sourceZip:false"
390
+
374
391
# '''concat statement with description'''
375
392
# for i in range(0, df.shape[0]):
376
393
# description = df.iloc[i, 2].split(':')[1]
0 commit comments