Debug GGG2014 profiles downloader

src/profiles/download_logic.py

@@ -22,6 +22,7 @@ def download_data(
         tarballs_on_server = ftp.nlst("upload/modfiles/tar/maps"
                                      ) + ftp.nlst("upload/modfiles/tar/mods")
 
+    # GGG2014: /upload/modfiles/tar/mods/mods_48N011E_20231211_20231217.tar
     # GGG2020: /ginput-jobs/job_000034641_tu_48.00N_12.00E_20221001-20221008.tgz
 
     fulfilled_queries: list[types.DownloadQuery] = []
@@ -30,12 +31,15 @@ def download_data(
         for query in progress.track(queries, description=f"Downloading ..."):
             progress.print(f"Downloading {query}")
 
-            cs = utils.text.get_coordinates_slug(
+            cs_verbose = utils.text.get_coordinates_slug(
                 query.lat, query.lon, verbose=True
             )
+            cs_nonverbose = utils.text.get_coordinates_slug(
+                query.lat, query.lon, verbose=False
+            )
             ds = query.from_date.strftime("%Y%m%d")
             tarballs_to_download = [
-                t for t in tarballs_on_server if f"{cs}_{ds}" in t
+                t for t in tarballs_on_server if ((f"{cs_verbose}_{ds}" in t) or (f"{cs_nonverbose}_{ds}" in t))
             ]
             if atmospheric_profile_model == "GGG2020":
                 if len(tarballs_to_download) >= 1:

src/profiles/generate_queries.py

@@ -258,13 +258,15 @@ def generate_download_queries(
         requested_data=requested_data,
         downloaded_data=downloaded_data,
     )
-    data_to_request = remove_std_site_data(
-        config=config,
-        missing_data=remove_already_requested_data(
-            missing_data=missing_data,
-            atmospheric_profile_model=atmospheric_profile_model,
+    data_to_request = missing_data
+    if atmospheric_profile_model == "GGG2020":
+        data_to_request = remove_std_site_data(
+            config=config,
+            missing_data=remove_already_requested_data(
+                missing_data=missing_data,
+                atmospheric_profile_model=atmospheric_profile_model,
+            )
         )
-    )
     download_queries: list[types.DownloadQuery] = []
     for l, dates in data_to_request.items():
         download_queries.extend([