feat(types): Resolve strict mypy errors in conductor subsystem

conductor/tracks/strict_static_analysis_and_typing_20260302/plan.md

@@ -15,11 +15,11 @@
     - [x] WHAT: Add explicit type hints to all function arguments, return values, and complex dictionaries. Resolve `Any` bleeding.
     - [x] HOW: Surgical type annotations (`dict[str, Any]`, `list[str]`, etc.).
     - [x] SAFETY: Do not change runtime logic, only type signatures.
-- [ ] Task: Resolve Conductor Subsystem Type Errors
-    - [ ] WHERE: `conductor_tech_lead.py`, `dag_engine.py`, `orchestrator_pm.py`
-    - [ ] WHAT: Enforce strict typing on track state, tickets, and DAG models.
-    - [ ] HOW: Standard python typing imports.
-    - [ ] SAFETY: Preserve JSON serialization compatibility.
+- [x] Task: Resolve Conductor Subsystem Type Errors
+    - [x] WHERE: `conductor_tech_lead.py`, `dag_engine.py`, `orchestrator_pm.py`
+    - [x] WHAT: Enforce strict typing on track state, tickets, and DAG models.
+    - [x] HOW: Standard python typing imports.
+    - [x] SAFETY: Preserve JSON serialization compatibility.
 - [ ] Task: Conductor - User Manual Verification 'Phase 2: Core Library' (Protocol in workflow.md)
 
 ## Phase 3: GUI God-Object Typing Resolution

conductor_tech_lead.py

@@ -2,8 +2,9 @@ import json
 import ai_client
 import mma_prompts
 import re
+from typing import Any
 
-def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict]:
+def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict[str, Any]]:
  """
     Tier 2 (Tech Lead) call.
     Breaks down a Track Brief and module skeletons into discrete Tier 3 Tickets.
@@ -18,7 +19,7 @@ def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict]:
  )
  # Set custom system prompt for this call
  old_system_prompt = ai_client._custom_system_prompt
- ai_client.set_custom_system_prompt(system_prompt)
+ ai_client.set_custom_system_prompt(system_prompt or "")
  ai_client.current_tier = "Tier 2"
  try:
  # 3. Call Tier 2 Model
@@ -38,20 +39,20 @@ def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict]:
    match = re.search(r'\[\s*\{.*\}\s*\]', json_match, re.DOTALL)
    if match:
     json_match = match.group(0)
-  tickets = json.loads(json_match)
+  tickets: list[dict[str, Any]] = json.loads(json_match)
   return tickets
  except Exception as e:
   print(f"Error parsing Tier 2 response: {e}")
   return []
  finally:
  # Restore old system prompt and clear tier tag
-  ai_client.set_custom_system_prompt(old_system_prompt)
+  ai_client.set_custom_system_prompt(old_system_prompt or "")
   ai_client.current_tier = None
 
 from dag_engine import TrackDAG
 from models import Ticket
 
-def topological_sort(tickets: list[dict]) -> list[dict]:
+def topological_sort(tickets: list[dict[str, Any]]) -> list[dict[str, Any]]:
  """
     Sorts a list of tickets based on their 'depends_on' field.
     Raises ValueError if a circular dependency or missing internal dependency is detected.
@@ -76,4 +77,3 @@ if __name__ == "__main__":
  test_skeletons = "class NewFeature: pass"
  tickets = generate_tickets(test_brief, test_skeletons)
  print(json.dumps(tickets, indent=2))
-

dag_engine.py

@@ -96,7 +96,7 @@ class TrackDAG:
   visited = set()
   stack = []
 
-  def visit(ticket_id: str):
+  def visit(ticket_id: str) -> None:
    """Internal recursive helper for topological sorting."""
    if ticket_id in visited:
     return

orchestrator_pm.py

@@ -5,6 +5,7 @@ import mma_prompts
 import aggregate
 import summarize
 from pathlib import Path
+from typing import Any, Optional
 
 CONDUCTOR_PATH: Path = Path("conductor")
 
@@ -53,7 +54,7 @@ def get_track_history_summary() -> str:
   return "No previous tracks found."
  return "\n".join(summary_parts)
 
-def generate_tracks(user_request: str, project_config: dict, file_items: list[dict], history_summary: str = None) -> list[dict]:
+def generate_tracks(user_request: str, project_config: dict[str, Any], file_items: list[dict[str, Any]], history_summary: Optional[str] = None) -> list[dict[str, Any]]:
  """
     Tier 1 (Strategic PM) call. 
     Analyzes the project state and user request to generate a list of Tracks.
@@ -72,7 +73,7 @@ def generate_tracks(user_request: str, project_config: dict, file_items: list[di
  user_message = "\n".join(user_message_parts)
  # Set custom system prompt for this call
  old_system_prompt = ai_client._custom_system_prompt
- ai_client.set_custom_system_prompt(system_prompt)
+ ai_client.set_custom_system_prompt(system_prompt or "")
  try:
  # 3. Call Tier 1 Model (Strategic - Pro)
  # Note: We use gemini-1.5-pro or similar high-reasoning model for Tier 1
@@ -89,7 +90,7 @@ def generate_tracks(user_request: str, project_config: dict, file_items: list[di
     json_match = json_match.split("```json")[1].split("```")[0].strip()
    elif "```" in json_match:
     json_match = json_match.split("```")[1].split("```")[0].strip()
-   tracks = json.loads(json_match)
+   tracks: list[dict[str, Any]] = json.loads(json_match)
    # Ensure each track has a 'title' for the GUI
    for t in tracks:
     if "title" not in t:
@@ -101,7 +102,7 @@ def generate_tracks(user_request: str, project_config: dict, file_items: list[di
    return []
  finally:
  # Restore old system prompt
-  ai_client.set_custom_system_prompt(old_system_prompt)
+  ai_client.set_custom_system_prompt(old_system_prompt or "")
 
 if __name__ == "__main__":
 # Quick CLI test