add ci workflows (#1)

Reviewed-on: #1

src/embeddingbuddy/ui/callbacks/data_processing.py

@@ -1,61 +1,62 @@
-import numpy as np
 from dash import callback, Input, Output, State
 from ...data.processor import DataProcessor
 
 
 class DataProcessingCallbacks:
-    
     def __init__(self):
         self.processor = DataProcessor()
         self._register_callbacks()
-    
+
     def _register_callbacks(self):
-        
         @callback(
-            Output('processed-data', 'data'),
-            Input('upload-data', 'contents'),
-            State('upload-data', 'filename')
+            Output("processed-data", "data"),
+            Input("upload-data", "contents"),
+            State("upload-data", "filename"),
         )
         def process_uploaded_file(contents, filename):
             if contents is None:
                 return None
-            
+
             processed_data = self.processor.process_upload(contents, filename)
-            
+
             if processed_data.error:
-                return {'error': processed_data.error}
-            
+                return {"error": processed_data.error}
+
             return {
-                'documents': [self._document_to_dict(doc) for doc in processed_data.documents],
-                'embeddings': processed_data.embeddings.tolist()
+                "documents": [
+                    self._document_to_dict(doc) for doc in processed_data.documents
+                ],
+                "embeddings": processed_data.embeddings.tolist(),
             }
-        
+
         @callback(
-            Output('processed-prompts', 'data'),
-            Input('upload-prompts', 'contents'),
-            State('upload-prompts', 'filename')
+            Output("processed-prompts", "data"),
+            Input("upload-prompts", "contents"),
+            State("upload-prompts", "filename"),
         )
         def process_uploaded_prompts(contents, filename):
             if contents is None:
                 return None
-            
+
             processed_data = self.processor.process_upload(contents, filename)
-            
+
             if processed_data.error:
-                return {'error': processed_data.error}
-            
+                return {"error": processed_data.error}
+
             return {
-                'prompts': [self._document_to_dict(doc) for doc in processed_data.documents],
-                'embeddings': processed_data.embeddings.tolist()
+                "prompts": [
+                    self._document_to_dict(doc) for doc in processed_data.documents
+                ],
+                "embeddings": processed_data.embeddings.tolist(),
             }
-    
+
     @staticmethod
     def _document_to_dict(doc):
         return {
-            'id': doc.id,
-            'text': doc.text,
-            'embedding': doc.embedding,
-            'category': doc.category,
-            'subcategory': doc.subcategory,
-            'tags': doc.tags
-        }
+            "id": doc.id,
+            "text": doc.text,
+            "embedding": doc.embedding,
+            "category": doc.category,
+            "subcategory": doc.subcategory,
+            "tags": doc.tags,
+        }