feat(mma): Implement context injection using ASTParser in run_worker_lifecycle

multi_agent_conductor.py

@@ -1,5 +1,7 @@
 import ai_client
+from typing import List, Optional
 from models import Ticket, Track, WorkerContext
+from file_cache import ASTParser
 
 class ConductorEngine:
     """
@@ -34,15 +36,35 @@ class ConductorEngine:
                 )
                 run_worker_lifecycle(ticket, context)
 
-def run_worker_lifecycle(ticket: Ticket, context: WorkerContext):
+def run_worker_lifecycle(ticket: Ticket, context: WorkerContext, context_files: List[str] = None):
     """
     Simulates the lifecycle of a single agent working on a ticket.
     Calls the AI client and updates the ticket status based on the response.
     """
+    context_injection = ""
+    if context_files:
+        parser = ASTParser(language="python")
+        for i, file_path in enumerate(context_files):
+            try:
+                with open(file_path, 'r', encoding='utf-8') as f:
+                    content = f.read()
+                if i == 0:
+                    view = parser.get_curated_view(content)
+                else:
+                    view = parser.get_skeleton(content)
+                context_injection += f"\nFile: {file_path}\n{view}\n"
+            except Exception as e:
+                context_injection += f"\nError reading {file_path}: {e}\n"
+
     # Build a prompt for the worker
     user_message = (
         f"You are assigned to Ticket {ticket.id}.\n"
         f"Task Description: {ticket.description}\n"
+    )
+    if context_injection:
+        user_message += f"\nContext Files:\n{context_injection}\n"
+        
+    user_message += (
         "Please complete this task. If you are blocked and cannot proceed, "
         "start your response with 'BLOCKED' and explain why."
     )