verify diff label for each term in all rows to ensure same term uses …

…same label (#332)

Co-authored-by: Anita Caron <[email protected]>

src/template_generation_tools.py

@@ -1,8 +1,10 @@
+import logging
+
 import pandas as pd
 from rdflib.graph import ConjunctiveGraph
+
+from ccf_tools import add_rows, chunks, split_terms, transform_to_str
 from uberongraph_tools import UberonGraph
-from ccf_tools import chunks, split_terms, transform_to_str, add_rows
-import logging
 
 # logger = logging.getLogger('ASCT-b Tables Log')
 
@@ -157,18 +159,19 @@ def generate_class_graph_template(ccf_tools_df :pd.DataFrame, log_dict: dict):
     terms_images = ug.query_uberon(" ".join(list(terms)), ug.select_image)
 
   for term, label in terms_labels:
-    row = ccf_tools_df[(ccf_tools_df['s'] == term) | (ccf_tools_df['o'] == term)].iloc[0]
-    if row['s'] == term and row['slabel'].lower() != label.lower():
-      log_dict["diff_label"].append({"id": term, "label": label, "asct_label": row['slabel'], "user_label": row['user_slabel'], "row_number": int(row['row_number'])})
-      # logger.warning(f"Different labels found for {term}. Uberongraph: {label} ; ASCT+b table: {row['slabel']}")
-      ccf_tools_df.loc[(ccf_tools_df['s'] == term), 'slabel'] = label
-      ccf_tools_df.loc[(ccf_tools_df['o'] == term), 'olabel'] = label
-
-    if row['o'] == term and row['olabel'].lower() != label.lower():
-      log_dict["diff_label"].append({"id": term, "label": label, "asct_label": row['olabel'], "user_label": row['user_olabel'], "row_number": int(row['row_number'])})
-      # logger.warning(f"Different labels found for {term}. Uberongraph: {label} ; ASCT+b table: {row['olabel']}")
-      ccf_tools_df.loc[(ccf_tools_df['o'] == term), 'olabel'] = label
-      ccf_tools_df.loc[(ccf_tools_df['s'] == term), 'slabel'] = label
+    rows = ccf_tools_df[(ccf_tools_df['s'] == term) | (ccf_tools_df['o'] == term)]
+    for _, row in rows.iterrows():
+      if row['s'] == term and row['slabel'].lower() != label.lower():
+        log_dict["diff_label"].append({"id": term, "label": label, "asct_label": row['slabel'], "user_label": row['user_slabel'], "row_number": int(row['row_number'])})
+        # logger.warning(f"Different labels found for {term}. Uberongraph: {label} ; ASCT+b table: {row['slabel']}")
+        ccf_tools_df.loc[(ccf_tools_df['s'] == term), 'slabel'] = label
+        ccf_tools_df.loc[(ccf_tools_df['o'] == term), 'olabel'] = label
+
+      if row['o'] == term and row['olabel'].lower() != label.lower():
+        log_dict["diff_label"].append({"id": term, "label": label, "asct_label": row['olabel'], "user_label": row['user_olabel'], "row_number": int(row['row_number'])})
+        # logger.warning(f"Different labels found for {term}. Uberongraph: {label} ; ASCT+b table: {row['olabel']}")
+        ccf_tools_df.loc[(ccf_tools_df['o'] == term), 'olabel'] = label
+        ccf_tools_df.loc[(ccf_tools_df['s'] == term), 'slabel'] = label
 
   # CREATE IMAGE REPORT
   if len(terms_images) > 0: