Fix analyse

Jumitti · Nov 22, 2024 · 87b0e8b · 87b0e8b
1 parent 47b5ae8
commit 87b0e8b
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Showing 2 changed files with 13 additions and 7 deletions.
diff --git a/navigation/aio.py b/navigation/aio.py
@@ -786,16 +786,20 @@ def aio_page():
         with stqdm(total=iteration,
                    desc='**:blue[Analyse sequence...] ⚠️:red[PLEASE WAIT UNTIL END WITHOUT CHANGING ANYTHING]**',
                    mininterval=0.1) as progress_bar:
-            individual_motif_occurrences = IMO.individual_motif_finder(dna_sequences, threshold, log_odds_matrix,
+            individual_motif_occurrences, message = IMO.individual_motif_finder(dna_sequences, threshold, log_odds_matrix,
                                                                        progress_bar,
                                                                        calc_pvalue,
                                                                        tss_ge_distance, alldirection)
-        st.session_state['individual_motif_occurrences'] = individual_motif_occurrences
+        if message is True:
+            st.session_state['individual_motif_occurrences'] = individual_motif_occurrences
+            st.session_state['message'] = message
+        elif message is False:
+            st.error(individual_motif_occurrences)
 
     st.divider()
     try:
         if 'individual_motif_occurrences' in st.session_state:
-            if len(st.session_state['individual_motif_occurrences']) > 1:
+            if len(st.session_state['individual_motif_occurrences']) > 0:
                 current_date_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
                 st.subheader(':blue[Results]')
 

diff --git a/tfinder/__init__.py b/tfinder/__init__.py
@@ -909,13 +909,15 @@ def individual_motif_finder(dna_sequences, threshold, matrix, progress_bar=None,
                 header.append("p-value")
             header += ["Strand", "Direction", "Gene", "Species", "Region"]
             individual_motif_occurrences.insert(0, header)
+
+            df = pd.DataFrame(individual_motif_occurrences[1:], columns=individual_motif_occurrences[0])
+            df = df.sort_values(by="Rel Score", ascending=False)
+
+            return df, True
         else:
-            "No consensus sequence found with the specified threshold."
+            return "No consensus sequence found with the specified threshold.", False
 
-        df = pd.DataFrame(individual_motif_occurrences[1:], columns=individual_motif_occurrences[0])
-        df = df.sort_values(by="Rel Score", ascending=False)
 
-        return df
 
     @staticmethod
     # IUPAC code