add ci workflows (#1)

Reviewed-on: #1

src/embeddingbuddy/data/parser.py

@@ -1,39 +1,38 @@
 import json
 import uuid
 import base64
-from typing import List, Union
-from ..models.schemas import Document, ProcessedData
+from typing import List
+from ..models.schemas import Document
 
 
 class NDJSONParser:
-    
     @staticmethod
     def parse_upload_contents(contents: str) -> List[Document]:
-        content_type, content_string = contents.split(',')
+        content_type, content_string = contents.split(",")
         decoded = base64.b64decode(content_string)
-        text_content = decoded.decode('utf-8')
+        text_content = decoded.decode("utf-8")
         return NDJSONParser.parse_text(text_content)
-    
+
     @staticmethod
     def parse_text(text_content: str) -> List[Document]:
         documents = []
-        for line in text_content.strip().split('\n'):
+        for line in text_content.strip().split("\n"):
             if line.strip():
                 doc_dict = json.loads(line)
                 doc = NDJSONParser._dict_to_document(doc_dict)
                 documents.append(doc)
         return documents
-    
+
     @staticmethod
     def _dict_to_document(doc_dict: dict) -> Document:
-        if 'id' not in doc_dict:
-            doc_dict['id'] = str(uuid.uuid4())
-        
+        if "id" not in doc_dict:
+            doc_dict["id"] = str(uuid.uuid4())
+
         return Document(
-            id=doc_dict['id'],
-            text=doc_dict['text'],
-            embedding=doc_dict['embedding'],
-            category=doc_dict.get('category'),
-            subcategory=doc_dict.get('subcategory'),
-            tags=doc_dict.get('tags')
-        )
+            id=doc_dict["id"],
+            text=doc_dict["text"],
+            embedding=doc_dict["embedding"],
+            category=doc_dict.get("category"),
+            subcategory=doc_dict.get("subcategory"),
+            tags=doc_dict.get("tags"),
+        )