🔍 Code Extractor

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• function api_upload

  Flask API endpoint that handles file uploads, validates file types, saves files to a configured directory structure, and automatically indexes the uploaded document for search/retrieval.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1198-1266

  file-upload api-endpoint document-management rag indexing

• function api_folders

  Flask API endpoint that returns a hierarchical JSON tree structure of all folders (excluding files) within the configured document folder, used for folder selection in upload interfaces.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1153-1193

  flask api endpoint folder-tree directory-structure

• function api_document_tree

  Flask API endpoint that returns a hierarchical document tree structure from a configured document folder, supporting lazy loading and full expansion modes for efficient navigation and search.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1105-1149

  flask api rest-endpoint document-management tree-structure

• function api_chat_status

  Flask API endpoint that retrieves the detailed status of a chat task by delegating to the api_task_status function using the provided task_id.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1099-1101

  flask api endpoint chat status

• function api_task_status

  Flask API endpoint that retrieves and returns the status of asynchronous tasks (chat or indexing operations) by task ID.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1076-1095

  api flask rest-endpoint task-status async-polling

• function process_full_reading_background

  Asynchronous background task processor that executes a full reading mode RAG (Retrieval-Augmented Generation) query, tracks progress, and stores results in session history.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 1038-1072

  background-task async-processing rag full-reading-mode chat

• function api_chat

  Flask API endpoint that handles chat requests asynchronously, processing user queries through a RAG (Retrieval-Augmented Generation) engine with support for multiple modes, memory, web search, and custom configurations.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 962-1035

  flask api chat async rag

• function get_session_history

  Flask API endpoint that retrieves the chat message history for the current user's session.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 950-957

  flask api rest-endpoint session-management chat-history

• function save_session_settings

  Flask API endpoint that saves user-provided settings for the current session by retrieving the session ID from Flask's session object and updating the session settings in the backend.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 937-945

  flask api-endpoint session-management settings configuration

• function get_session_settings

  Flask API endpoint that retrieves saved settings for the current user's session from the session store.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 926-933

  flask api session-management settings rest-api

• function api_update_system_config

  Flask API endpoint that allows administrators to update system configuration settings including system role, expertise, domain context, custom instructions, output style, and query languages, with persistence to disk.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 860-921

  admin configuration system-settings api-endpoint flask

• function api_get_system_config

  Flask API endpoint that retrieves current system configuration settings for admin users only, returning configuration values like system role, expertise, domain context, and supported languages.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 840-855

  flask api admin configuration system-settings

• function api_get_models

  Flask API endpoint that returns a list of available LLM models and the default model configuration.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 830-835

  api flask rest-api llm configuration

• function user_guide

  Flask route handler that renders and displays the user guide page for the application.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 824-826

  flask web-route template-rendering user-guide documentation

• function logout

  Flask route handler that logs out the current user by clearing their session and redirecting them to either the login page or index page based on authentication requirements.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 781-789

  authentication logout session-management flask-route user-management

• function azure_callback

  OAuth 2.0 callback endpoint for Azure AD authentication that exchanges authorization codes for access tokens and establishes user sessions.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 734-777

  oauth authentication azure-ad callback session-management

• function login

  Flask route handler that renders the login page for user authentication, with support for Azure SSO integration and automatic redirection for authenticated users or when authentication is disabled.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 714-730

  authentication login flask-route session-management azure-sso

• function init_engines

  Initializes the RAG (Retrieval-Augmented Generation) engine and document indexer components, loads persisted sessions, and optionally starts background auto-indexing of documents.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 636-701

  initialization RAG document-indexing background-processing threading

• function process_chat_background

  Processes chat requests asynchronously in a background thread, managing RAG engine interactions, progress updates, and session state for various query modes including basic, extensive, full_reading, and deep_reflection.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 517-628

  background-processing async rag chat document-retrieval

• function get_document_info

  Retrieves indexing status and metadata for a document, including whether it's indexed, its document ID, chunk count, and reindexing status.

  File: /tf/active/vicechatdev/docchat/app.py | Lines: 479-514

  document-management indexing metadata vector-database chromadb