Tag sites with no tide data

coastsnap/tag_registered.py

@@ -35,7 +35,7 @@ args = parser.parse_args()
 # Retrieve coastsnap/images directory set in coastsnap_sites.csv
 
 code_images_dir = str(Path(os.getcwd()).parent)
-sites_csv_path = os.path.join(code_images_dir, "coastsnap_sites.csv")
+sites_csv_path = os.path.join(code_images_dir, "coastsnap_sites_tag.csv")
 coastsnap_sites_csv = pd.read_csv(sites_csv_path)
 images_parent_dir = coastsnap_sites_csv.parent_directory[0] 
 images_dir = os.path.join(images_parent_dir, "Images")
@@ -143,8 +143,6 @@ def main(site):
     
     i=0
     site_complete = False # A flag to stop tagging images when found
-    tide_data = False
-    font = None
     image2tag = None 
     photoshop_path = images_dir +'/'+ site + '/Photoshop'
     try: # Check if site contains 'Processed' directory
@@ -196,10 +194,14 @@ def main(site):
             pathname = os.path.join(year_path, image_filename)
             image2tag = RegisteredImage(pathname, image_filename, registered_image_path) # Create image object
             if i == 1: # Retrieve Tide Data once for each site
-                tides_df = get_site_tide_data(images_parent_dir, site)
+                try:
+                    tides_df = get_site_tide_data(images_parent_dir, site)
+                except:
+                    print("No tide data for " + site)
             image2tag.get_font()
             image2tag.get_dimensions()
-            if isinstance(tides_df, pd.DataFrame): image2tag.get_tide(tides_df)
+            if isinstance(tides_df, pd.DataFrame):  # Check if tide data exists
+                image2tag.get_tide(tides_df)
             image2tag.create_tag()
             
             tag_image(image2tag)