Merge pull request #28 from MetaboHUB-MetaToul-FluxoMet/Dev

Bump to v2.0.3

Author: rkouakou06

isodesign/base/process.py

@@ -693,14 +693,14 @@ def export_data(self, number, figure):
         :param number: number corresponding to the analysis
         :param figure: plotly figure object
         """
-        res_folder_path = Path(f"{self.output_folder_path}/{self.all_scores[number]["name"]}_res")
+        res_folder_path = Path(f"{self.output_folder_path}/{self.all_scores[number]['name']}_res")
         res_folder_path.mkdir(parents=True, exist_ok=True)
 
         # Export the dataframe and the scores table to tsv files
-        self.all_scores[number]["dataframe"].to_csv(f"{res_folder_path}/{self.all_scores[number]["name"]}_dataframe.tsv", index=False, sep="\t")
-        self.all_scores[number]["columns_scores"].to_csv(f"{res_folder_path}/{self.all_scores[number]["name"]}_scores.tsv", index=True, sep="\t")
+        self.all_scores[number]["dataframe"].to_csv(f"{res_folder_path}/{self.all_scores[number]['name']}_dataframe.tsv", index=False, sep="\t")
+        self.all_scores[number]["columns_scores"].to_csv(f"{res_folder_path}/{self.all_scores[number]['name']}_scores.tsv", index=True, sep="\t")
 
-        figure.write_html(f"{res_folder_path}/{self.all_scores[number]["name"]}_barplot.html")
+        figure.write_html(f"{res_folder_path}/{self.all_scores[number]['name']}_barplot.html")
 
 
 # if __name__ == "__main__":

isodesign/ui/pages/2_Define_label_inputs.py

@@ -195,7 +195,7 @@ def reintegrate_rows(indexes : list):
 
         df_combinations=st.dataframe(df, 
                     hide_index=True, 
-                    use_container_width=True,
+                    width="stretch",
                     on_select="rerun",
                     selection_mode="multi-row",
                     key="df_combinations")
@@ -220,7 +220,7 @@ def reintegrate_rows(indexes : list):
 
             df_unused_combs = st.dataframe(df_unused, 
                         hide_index=True, 
-                        use_container_width=True,
+                        width="stretch",
                         on_select="rerun",
                         selection_mode="multi-row")
 

isodesign/ui/pages/4_Analyze_results.py

@@ -65,7 +65,7 @@ def display_dataframe(count):
     # Display the simulation results dataframe. The table is updated according to the filters used 
     st.dataframe(process_object.filtered_dataframe if process_object.filtered_dataframe is not None 
                     else process_object.summary_dataframe,
-                use_container_width=True,
+                width="stretch",
                 hide_index=True,
                 key=f"display_dataframe_{count}")
 
@@ -190,7 +190,7 @@ def criteria_block(count):
                     table = st.dataframe(process_object.scores,
                                 on_select="rerun",
                                 selection_mode="multi-row",
-                                use_container_width=True,
+                                width="stretch",
                                 key=f"table_score_{count}")
 
                 with barplot:
@@ -317,10 +317,11 @@ def criteria_block(count):
             export_button = st.button("Export", key=f"export_{count}") 
 
         if export_button:
+            header_name = st.session_state[f"header_{count}"]
             with st.spinner("Exporting data ..."):
                 process_object.export_data(count, st.session_state[f"fig_{count}"])
-                st.success(f"'{st.session_state[f"header_{count}"]}' exported successfully in {process_object.output_folder_path}.")
-                logger.info(f"'{st.session_state[f"header_{count}"]}' exported successfully in {process_object.output_folder_path}.")
+                st.success(f"'{header_name}' exported successfully in {process_object.output_folder_path}.")
+                logger.info(f"'{header_name}' exported successfully in {process_object.output_folder_path}.")
         # Save the "score" block to the process_object and save it to a pickle file
         process_object.register_scores(count, block_name=st.session_state[f"header_{count}"])
         process_object.save_process_to_file()

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "isodesign"
-version = "2.0.2"
+version = "2.0.3"
 description = "Facilitates the choice of the optimal isotopic composition of labeled substrates in 13C-fluxomics experiments."
 authors = ["rkouakou <kouakou@insa-toulouse.fr>, llegregam <legregam@insa-toulouse.fr>, Pierre Millard <millard@insa-toulouse.fr>, sgsokol <sokol@insa-toulouse.fr>"]
 readme = "README.md"