checkpoint: this is a mess... need to define stricter DSL or system for how the AI devices sims and hookup api for tests.

tests/mock_gemini_cli.py

@@ -8,21 +8,60 @@ def main() -> None:
  sys.stderr.write(f"DEBUG: GEMINI_CLI_HOOK_CONTEXT: {os.environ.get('GEMINI_CLI_HOOK_CONTEXT')}\n")
  # Read prompt from stdin
  try:
- # On Windows, stdin might be closed or behave weirdly if not handled
   prompt = sys.stdin.read()
  except EOFError:
   prompt = ""
  sys.stderr.write(f"DEBUG: Received prompt via stdin ({len(prompt)} chars)\n")
  sys.stderr.flush()
+ 
  # Skip management commands
  if len(sys.argv) > 1 and sys.argv[1] in ["mcp", "extensions", "skills", "hooks"]:
   return
-  # If the prompt contains tool results, provide final answer
+
+ # Check for specific simulation contexts
+ # Use startswith or check the beginning of the prompt to avoid matching text inside skeletons
+ if 'PATH: Epic Initialization' in prompt[:500]:
+  mock_response = [
+   {"id": "mock-track-1", "type": "Track", "module": "core", "persona": "Tech Lead", "severity": "Medium", "goal": "Mock Goal 1", "acceptance_criteria": ["criteria 1"], "title": "Mock Goal 1"},
+   {"id": "mock-track-2", "type": "Track", "module": "ui", "persona": "Frontend Lead", "severity": "Low", "goal": "Mock Goal 2", "acceptance_criteria": ["criteria 2"], "title": "Mock Goal 2"}
+  ]
+  print(json.dumps({
+   "type": "message",
+   "role": "assistant",
+   "content": json.dumps(mock_response)
+  }), flush=True)
+  print(json.dumps({
+   "type": "result",
+   "status": "success",
+   "stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
+   "session_id": "mock-session-epic"
+  }), flush=True)
+  return
+
+ if 'PATH: Sprint Planning' in prompt[:500]:
+  mock_response = [
+   {"id": "mock-ticket-1", "type": "Ticket", "goal": "Mock Ticket 1", "target_file": "file1.py", "depends_on": [], "context_requirements": "req 1"},
+   {"id": "mock-ticket-2", "type": "Ticket", "goal": "Mock Ticket 2", "target_file": "file2.py", "depends_on": ["mock-ticket-1"], "context_requirements": "req 2"}
+  ]
+  print(json.dumps({
+   "type": "message",
+   "role": "assistant",
+   "content": json.dumps(mock_response)
+  }), flush=True)
+  print(json.dumps({
+   "type": "result",
+   "status": "success",
+   "stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
+   "session_id": "mock-session-sprint"
+  }), flush=True)
+  return
+
+ # If the prompt contains tool results, provide final answer
  if '"role": "tool"' in prompt or '"tool_call_id"' in prompt:
   print(json.dumps({
      "type": "message", 
      "role": "assistant",
-     "content": "I have processed the tool results. Everything looks good!"
+     "content": "SUCCESS: Mock Tier 3 worker implemented the change. [MOCK OUTPUT]"
     }), flush=True)
   print(json.dumps({
      "type": "result", 
@@ -31,7 +70,8 @@ def main() -> None:
      "session_id": "mock-session-final"
     }), flush=True)
   return
-  # Default flow: simulate a tool call
+  
+ # Default flow: simulate a tool call
  bridge_path = os.path.abspath("scripts/cli_tool_bridge.py")
  # Using format that bridge understands
  bridge_tool_call = {
@@ -66,11 +106,6 @@ def main() -> None:
      "tool_id": "call_123",
      "parameters": {"path": "test.txt"}
     }), flush=True)
-  print(json.dumps({
-     "type": "message", 
-     "role": "assistant",
-     "content": "I am reading the file now..."
-    }), flush=True)
   print(json.dumps({
      "type": "result", 
      "status": "success",

tests/temp_project.toml

@@ -22,7 +22,7 @@ base_dir = "."
 paths = []
 
 [gemini_cli]
-binary_path = "gemini"
+binary_path = "C:\\projects\\manual_slop\\.venv\\Scripts\\python.exe C:\\projects\\manual_slop\\tests\\mock_gemini_cli.py"
 
 [deepseek]
 reasoning_effort = "medium"
@@ -40,27 +40,3 @@ fetch_url = true
 epic = "Develop a new feature"
 active_track_id = ""
 tracks = []
-
-[mma.active_track]
-id = "track_024370f1b453"
-description = "Mock Goal 1"
-
-[[mma.active_track.tickets]]
-id = "mock-ticket-1"
-description = "Mock Ticket 1"
-status = "todo"
-assigned_to = "unassigned"
-context_requirements = []
-depends_on = []
-step_mode = false
-
-[[mma.active_track.tickets]]
-id = "mock-ticket-2"
-description = "Mock Ticket 2"
-status = "todo"
-assigned_to = "unassigned"
-context_requirements = []
-depends_on = [
-    "mock-ticket-1",
-]
-step_mode = false

tests/temp_project_history.toml

@@ -10,7 +10,7 @@ auto_add = true
 
 [discussions.main]
 git_commit = ""
-last_updated = "2026-02-28T22:11:24"
+last_updated = "2026-02-28T22:41:40"
 history = [
     "@2026-02-28T22:02:40\nSystem:\n[PERFORMANCE ALERT] CPU usage high: 83.5%. Please consider optimizing recent changes or reducing load.",
     "@2026-02-28T22:03:10\nSystem:\n[PERFORMANCE ALERT] CPU usage high: 103.9%. Please consider optimizing recent changes or reducing load.",

tests/visual_sim_mma_v2.py

@@ -17,11 +17,14 @@ def test_mma_complete_lifecycle(live_gui) -> None:
     client = ApiHookClient()
     assert client.wait_for_server(timeout=10)
 
-    # 1. Set model to 'mock'.
+    # 1. Set up the mock CLI provider
     try:
-        client.set_value('current_model', 'mock')
+        client.set_value('current_provider', 'gemini_cli')
+        # Point the CLI adapter to our mock script
+        mock_cli_path = f'{sys.executable} {os.path.abspath("tests/mock_gemini_cli.py")}'
+        client.set_value('gcli_path', mock_cli_path)
     except Exception as e:
-        pytest.fail(f"Failed to set model to 'mock': {e}")
+        pytest.fail(f"Failed to set up mock provider: {e}")
 
     # 2. Enter epic and click 'Plan Epic'.
     client.set_value('mma_epic_input', 'Develop a new feature')
@@ -136,19 +139,30 @@ def test_mma_complete_lifecycle(live_gui) -> None:
 
     # 8. Verify 'active_tier' change and output in 'mma_streams'.
     streams_found = False
-    for _ in range(30):
+    for _ in range(60): # Give it more time for the worker to spawn and respond
         status = client.get_mma_status()
-        streams = status.get('mma_streams', {})
-        if streams and any("Tier 3" in k for k in streams.keys()):
-            print(f"[SIM] Found Tier 3 worker output in streams: {list(streams.keys())}")
-            streams_found = True
-            break
-        # Keep approving if needed
+        
+        # Handle approvals if they pop up during worker execution
         if status and status.get('pending_spawn') is True:
+            print('[SIM] Worker spawn required. Clicking btn_approve_spawn...')
             client.click('btn_approve_spawn')
         elif status and status.get('pending_approval') is True:
+            print('[SIM] Tool approval required. Clicking btn_approve_tool...')
             client.click('btn_approve_tool')
+            
+        streams = status.get('mma_streams', {})
+        print(f"Polling streams: {list(streams.keys())}")
+        
+        if streams and any("Tier 3" in k for k in streams.keys()):
+            print(f"[SIM] Found Tier 3 worker output in streams: {list(streams.keys())}")
+            # Check for our specific mock content
+            tier3_key = [k for k in streams.keys() if "Tier 3" in k][0]
+            if "SUCCESS: Mock Tier 3 worker" in streams[tier3_key]:
+                print("[SIM] Verified mock worker output content.")
+                streams_found = True
+                break
+        
         time.sleep(1)
 
-    assert streams_found or 'Tier 1' in status.get('mma_streams', {}), "No output found in 'mma_streams'."
+    assert streams_found, "No Tier 3 mock output found in 'mma_streams'."
     print("MMA complete lifecycle simulation successful.")