Update app.py

app.py

@@ -17,6 +17,7 @@ from langchain.docstore.document import Document
 from langchain.schema import Document
 from chunk_python_code import chunk_python_code_with_metadata
 from vectorstore import get_chroma_vectorstore
+from download_gitlab_repo import download_and_upload_kadiAPY_repo_to_huggingfacespace
 
 # Load environment variables from .env file
 load_dotenv()
@@ -53,55 +54,6 @@ def load_project_id(json_file):
     return data['project_id']
 
 
-def download_gitlab_project_by_version():
-    try:
-        # Load the configuration from config.json
-
-        # Extract GitLab project information from the config
-        api_url = config2['gitlab']['api_url']
-        project_id = urllib.parse.quote(config2['gitlab']['project']['id'], safe="")
-        version = config2['gitlab']['project']['version']
-        
-        # Construct the URL for the release's zip file
-        url = f"{api_url}/projects/{project_id}/repository/archive.zip?sha={version}"
-
-        # Send GET request to download the zip file
-        response = requests.get(url, stream=True)
-        archive_bytes = io.BytesIO(response.content)
-
-        
-        if response.status_code == 200:
-            # Extract filename from content-disposition header
-            content_disposition = response.headers.get("content-disposition")
-            if content_disposition and "filename=" in content_disposition:
-                filename = content_disposition.split("filename=")[-1].strip('"')
-
-
-        # test
-        # target_path = f"{DATA_DIR}/{filename}"
-        
-        # Check if the request was successful
-        if response.status_code == 200:
-            api.upload_file(
-                path_or_fileobj= archive_bytes,
-                path_in_repo= f"{DATA_DIR}/{filename}",
-                repo_id=HF_SPACE_NAME,
-                repo_type='space'
-        )
-            print(f"Release {version} downloaded successfully as {file_path}.")
-        else:
-            print(f"Failed to download the release: {response.status_code} - {response.reason}")
-            print(response.text)
-
-    except FileNotFoundError:
-        print("The config.json file was not found. Please ensure it exists in the project directory.")
-    except json.JSONDecodeError:
-        print("Failed to parse the config.json file. Please ensure it contains valid JSON.")
-    except Exception as e:
-        print(f"An error occurred: {e}")
-
-
-
 def download_gitlab_repo():
     print("Start the upload_gitRepository function")
     project_id = load_project_id('repository_ids.json')
@@ -329,16 +281,14 @@ def get_chroma_vectorstore2(embedding_model):
 def initialize():
     global vector_store, chunks, llm
 
-    download_gitlab_project_by_version()
+    download_and_upload_kadiAPY_repo_to_huggingfacespace()
     
     code_folder_paths = ['kadi_apy']
     doc_folder_paths = ['docs/source/']
-
-    
+ 
     code_texts, code_references = process_directory(DATA_DIR, code_folder_paths, [])
     print("LEEEEEEEEEEEENGTH of code_texts: ", len(code_texts))
-
-    
+  
     doc_texts, kadiAPY_doc_references = process_directory(DATA_DIR, doc_folder_paths, [])
     print("LEEEEEEEEEEEENGTH of doc_files: ", len(doc_texts))