snapshot...

modules/deeplearning/amv_raob.py

@@ -23,6 +23,7 @@ dt_str_pat = '_s\d{11}'
 dir_fmt = '%Y_%m_%d_%j'
 
 gfs_directory = '/apollo/cloud/Ancil_Data/clavrx_ancil_data/dynamic/gfs/'
+gfs_name_pattern = r'gfs\.(\d{8})_F\d{3}\.h5'
 gfs_date_format = '%y%m%d'
 
 h4_to_h5_path = home_dir + '/h4toh5convert'
@@ -532,10 +533,9 @@ def get_bounding_gfs_files(timestamp):
         filelist = flist_0 + flist_1
 
     ftimes = []
-    for pname in filelist:  # TODO: make better with regular expressions (someday)
-        fname = os.path.split(pname)[1]
-        toks = fname.split('.')
-        tstr = toks[1].split('_')[0]
+    for pname in filelist:
+        match = re.search(gfs_name_pattern, pname)
+        tstr = match[1]
         dto = datetime.datetime.strptime(tstr, gfs_date_format+'%H').replace(tzinfo=timezone.utc)
         dto = dto + datetime.timedelta(hours=12)
         ftimes.append(dto.timestamp())