GSK-2831-fix-wrong-warnings-pop-up (#126)

- Create file and reset scanners after submission (37729f3f26a8dceba24cd4224380191628eea937)
- read from old scanners and set in new config file) (78b136ddd35a254e281a6ff0d91c2d3c7053abc4)

app_text_classification.py

@@ -251,7 +251,15 @@ def get_demo():
             inference_token,
             uid_label,
         ],
-        outputs=[run_btn, logs, uid_label],
+        outputs=[
+            run_btn, 
+            logs, 
+            uid_label,            
+            validation_result,
+            example_input,
+            example_prediction,
+            column_mapping_accordion,
+          ],
     )
 
     gr.on(

text_classification_ui_helpers.py

@@ -8,7 +8,12 @@ import gradio as gr
 import pandas as pd
 
 import leaderboard
-from io_utils import read_column_mapping, write_column_mapping
+from io_utils import (
+  read_column_mapping, 
+  write_column_mapping, 
+  read_scanners, 
+  write_scanners,
+)
 from run_jobs import save_job_to_pipe
 from text_classification import (
     strip_model_id_from_url,
@@ -356,11 +361,12 @@ def align_columns_and_show_prediction(
 
 def check_column_mapping_keys_validity(all_mappings):
     if all_mappings is None:
+        logger.warning("all_mapping is None")
         gr.Warning(CONFIRM_MAPPING_DETAILS_FAIL_RAW)
         return False
 
     if "labels" not in all_mappings.keys():
-        gr.Warning(CONFIRM_MAPPING_DETAILS_FAIL_RAW)
+        logger.warning(f"Label mapping is not valid, all_mappings: {all_mappings}")
         return False
 
     return True
@@ -396,6 +402,7 @@ def construct_label_and_feature_mapping(all_mappings, ds_labels, ds_features):
         label_mapping.update({str(i): all_mappings["labels"][label]})
 
     if "features" not in all_mappings.keys():
+        logger.warning("features not in all_mappings")
         gr.Warning(CONFIRM_MAPPING_DETAILS_FAIL_RAW)
     feature_mapping = all_mappings["features"]
     return label_mapping, feature_mapping
@@ -435,8 +442,16 @@ def try_submit(m_id, d_id, config, split, inference, inference_token, uid):
     )
     gr.Info("Your evaluation has been submitted")
 
+    new_uid = uuid.uuid4()
+    scanners = read_scanners(uid)
+    write_scanners(scanners, new_uid)
+
     return (
         gr.update(interactive=False),  # Submit button
         gr.update(value=f"{CHECK_LOG_SECTION_RAW}Your job id is: {uid}. ", lines=5, visible=True, interactive=False),
-        uuid.uuid4(),  # Allocate a new uuid
+        new_uid,  # Allocate a new uuid
+        gr.update(visible=False),
+        gr.update(visible=False),
+        gr.update(visible=False),
+        gr.update(visible=False),
     )