refactor: remove legacy code code_task_v1 (#14)

* refactor: remove legacy file-based storage code_task_v1.py

Removes the deprecated file-based task storage system as it has been 
replaced by the v2 Supabase-based system. This includes:
- Legacy in-memory task storage
- File persistence to tasks_backup.json  
- Deprecated run_ai_code_task() function
- Legacy Docker container execution code

Co-authored-by: Elwynn Chen <[email protected]>

* refactor: clean up legacy code_task_v1 references in __init__.py

Removes commented imports and function references to the deleted 
code_task_v1 module:
- Removed commented import of run_ai_code_task and _run_ai_code_task_internal
- Removed commented legacy function calls in sequential processor
- Simplified conditional logic to only handle v2 tasks

Co-authored-by: Elwynn Chen <[email protected]>

---------

Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Elwynn Chen <[email protected]>

Author: ObservedObserver

server/utils/__init__.py

@@ -5,7 +5,6 @@
 import queue
 import atexit
 
-# from .code_task_v1 import run_ai_code_task, _run_ai_code_task_internal
 from .code_task_v2 import run_ai_code_task_v2, _run_ai_code_task_v2_internal
 
 # Configure logging
@@ -47,8 +46,6 @@ def codex_worker():
                         # Execute the task
                         if is_v2:
                             _execute_codex_task_v2(task_id, user_id, github_token)
-                        # else:
-                        #     _execute_codex_task_legacy(task_id)
 
                         logger.info(f"✅ Codex task {task_id} completed")
 
@@ -85,10 +82,6 @@ def _execute_codex_task_v2(task_id: int, user_id: str, github_token: str):
     # This will contain the actual execution logic
     return _run_ai_code_task_v2_internal(task_id, user_id, github_token)
 
-# def _execute_codex_task_legacy(task_id):
-#     """Execute legacy Codex task - internal method called by sequential processor"""
-#     # This will contain the actual execution logic
-#     return _run_ai_code_task_internal(task_id)
 
 # Cleanup function to stop the worker thread
 def cleanup_codex_processor():