Refactor analysis workflow and improve result display

Updated the analysis function to handle both file and text inputs as bytes and refactored the engine.analyze call to use the correct parameters. Changed test and transform config formatting, removed threading for analysis execution, and added error handling. Improved result display by removing problematic 'metrics' column and enhanced visual rendering to support base64 and file path images with error handling.

Author: EdgeTypE

app.py

@@ -8,7 +8,19 @@
 engine = Engine()
 
 def run_analysis(config):
-    result = engine.analyze(config)
+    # input_bytes'ı hesaplayalım
+    input_bytes = b""
+    if config.get('data', {}).get('file'):
+        uploaded_file = config['data']['file']
+        if uploaded_file is not None:
+            input_bytes = uploaded_file.read()
+    elif config.get('data', {}).get('text'):
+        text = config['data']['text']
+        if text:
+            input_bytes = text.encode('utf-8')
+
+    # engine.analyze çağrısı doğru parametrelerle
+    result = engine.analyze(input_bytes, config)
     st.session_state['analysis_result'] = result
 
 def main():
@@ -69,12 +81,17 @@ def main():
                 'file': st.session_state.uploaded_file,
                 'text': st.session_state.text_input,
             },
-            'tests': st.session_state.selected_tests,
-            'transforms': st.session_state.selected_transforms,
+            'tests': [{'name': t} for t in st.session_state.selected_tests],
+            'transforms': [{'name': tr} for tr in st.session_state.selected_transforms],
         }
 
         with st.spinner('Analiz yapılıyor...'):
-            threading.Thread(target=run_analysis, args=(config,)).start()
+            # Thread yerine direkt çağrı yapalım
+            try:
+                run_analysis(config)
+            except Exception as e:
+                st.error(f"Analiz hatası: {str(e)}")
+                st.session_state['analysis_result'] = {"error": str(e)}
 
     # Gösterim: Analiz sonucu session_state'te varsa ana ekranda göster
     if 'analysis_result' in st.session_state:
@@ -100,13 +117,16 @@ def main():
         st.subheader("Bulgular")
         if results:
             df = pd.DataFrame(results)
+            # Metrics sütunu sorun çıkarabilir, onu çıkaralım
+            if 'metrics' in df.columns:
+                df = df.drop(columns=['metrics'])
             if 'p_value' in df.columns:
                 def _p_style(v):
                     try:
                         return 'background-color: red' if float(v) < 0.05 else ''
                     except Exception:
                         return ''
-                styled = df.style.applymap(_p_style, subset=['p_value'])
+                styled = df.style.map(_p_style, subset=['p_value'])
                 st.dataframe(styled)
             else:
                 st.dataframe(df)
@@ -131,12 +151,25 @@ def _p_style(v):
                 visuals = selected_result.get('visuals') if isinstance(selected_result, dict) else None
                 if visuals:
                     st.subheader("Görseller")
-                    for v in visuals:
-                        try:
-                            st.image(v, use_column_width=True)
-                        except Exception:
-                            # Eğer doğrudan gösterilemiyorsa base64 veya ham SVG olabilir; yine de dene
-                            st.image(v)
+                    for vname, vdata in visuals.items():
+                        if isinstance(vdata, dict):
+                            if 'data_base64' in vdata:
+                                try:
+                                    import base64
+                                    mime = vdata.get('mime', 'image/svg+xml')
+                                    img_data = base64.b64decode(vdata['data_base64'])
+                                    st.image(img_data, caption=vname, use_container_width=True)
+                                except Exception as e:
+                                    st.error(f"Görsel gösterilemedi ({vname}): {str(e)}")
+                            elif 'path' in vdata:
+                                try:
+                                    st.image(vdata['path'], caption=vname, use_column_width=True)
+                                except Exception as e:
+                                    st.error(f"Görsel gösterilemedi ({vname}): {str(e)}")
+                            else:
+                                st.write(f"Görsel verisi tanınmıyor: {vname}")
+                        else:
+                            st.write(f"Görsel formatı yanlış: {vname}")
         else:
             st.info("Henüz analiz sonucu yok veya sonuç listesi boş.")