manual_slop/tests/test_live_workflow.py

"""
ANTI-SIMPLIFICATION: These tests verify the end-to-end full live workflow.
They MUST NOT be simplified. They depend on exact execution states and timing
through the actual GUI and ApiHookClient interface.
"""
import pytest
import time
import sys
import os

# Ensure project root is in path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))

from src.api_hook_client import ApiHookClient

def wait_for_value(client, field, expected, timeout=10):
 """
 
  
   Helper to poll the GUI state until a field matches the expected value.
 """
 start = time.time()
 while time.time() - start < timeout:
  state = client.get_gui_state()
  val = state.get(field)
  if val == expected:
   return True
  time.sleep(0.5)
 return False

@pytest.mark.integration
def test_full_live_workflow(live_gui) -> None:
 """
 
  
   Integration test that drives the GUI through a full workflow.
   ANTI-SIMPLIFICATION: Asserts exact AI behavior, thinking state tracking,
   and response logging in discussion history.
 """
 client = ApiHookClient()
 assert client.wait_for_server(timeout=10)
 client.post_session(session_entries=[])
 
 # 1. Reset
 print("\n[TEST] Clicking Reset...")
 client.click("btn_reset")
 time.sleep(1)
 
 # 2. Project Setup
 temp_project_path = os.path.abspath("tests/artifacts/temp_project.toml")
 if os.path.exists(temp_project_path):
  try: os.remove(temp_project_path)
  except: pass
 print(f"[TEST] Creating new project at {temp_project_path}...")
 client.click("btn_project_new_automated", user_data=temp_project_path)
 # Defensive: fail fast if the click was dropped or the handler crashed
 # before writing the project file.
 import time as _time
 _start = _time.time()
 while _time.time() - _start < 5.0:
  if os.path.exists(temp_project_path):
   break
  _time.sleep(0.1)
 assert os.path.exists(temp_project_path), (
  f"temp_project.toml not created within 5s of click. "
  f"Click may have been dropped or _cb_new_project_automated crashed."
 )

 # Wait for project switch to complete (deterministic, condition-based).
 # Replaces the prior 10x1s blind poll of derived state.
 status = client.wait_for_project_switch(expected_path=temp_project_path, timeout=30.0)
 assert not status.get("timeout"), (
  f"Project switch did not complete in 30s. Last status: {status}"
 )
 assert not status.get("error"), (
  f"Project switch failed with error: {status.get('error')}"
 )

 test_git = os.path.abspath(".")
 print(f"[TEST] Setting project_git_dir to {test_git}...")
 client.set_value("project_git_dir", test_git)
 assert wait_for_value(client, "project_git_dir", test_git)
 
 client.click("btn_project_save")
 time.sleep(1)

 # Enable auto-add so the response ends up in history
 client.set_value("auto_add_history", True)
 client.set_value("current_provider", "gemini")
 
 # USE gemini-2.0-flash-lite (Actual current model)
 client.set_value("current_model", "gemini-2.5-flash-lite")
 time.sleep(1)

 # 3. Discussion Turn
 print("[TEST] Sending AI request...")
 client.set_value("ai_input", "Hello! This is an automated test. Just say 'Acknowledged'.")
 client.click("btn_gen_send")
 
 # Verify thinking indicator appears or ai_status changes
 print("[TEST] Polling for thinking indicator...")
 success = False
 for i in range(20):
  mma = client.get_mma_status()
  ai_status = mma.get('ai_status')
  print(f"  Poll {i}: ai_status='{ai_status}'")
  if ai_status == 'error':
   state = client.get_gui_state()
   pytest.fail(f"AI Status went to error during thinking poll. Response: {state.get('ai_response')}")
  
  if ai_status == 'sending...' or ai_status == 'streaming...':
   print(f"  AI is sending/streaming at poll {i}")
   success = True
   # Don't break, keep watching for a bit
  
  indicator = client.get_indicator_state("thinking_indicator")
  if indicator.get('shown'):
   print(f"  Thinking indicator seen at poll {i}")
   success = True
   break
  time.sleep(0.5)

 # 4. Wait for response in session
 success = False
 print("[TEST] Waiting for AI response in session history...")
 for i in range(60):
  session = client.get_session()
  entries = session.get('session', {}).get('entries', [])
  # Check for AI role. The entries are objects with a 'role' key.
  found_ai = any(str(e.get('role', '')).upper() == 'AI' for e in entries)
  if found_ai:
   success = True
   print(f"  AI response found in history after {i}s")
   break
  
  mma = client.get_mma_status()
  if mma.get('ai_status') == 'error':
   state = client.get_gui_state()
   pytest.fail(f"AI Status went to error during response wait. Response: {state.get('ai_response')}")
   
  time.sleep(1)
 
 # FALLBACK: if not in entries yet, check if ai_response is populated and status is done
 if not success:
  mma = client.get_mma_status()
  if mma.get('ai_status') == 'done' or mma.get('ai_status') == 'idle':
   state = client.get_gui_state()
   if state.get('ai_response'):
    print("[TEST] AI response found in ai_response field (fallback)")
    success = True

 assert success, f"AI failed to respond. Entries: {client.get_session()}, Status: {client.get_mma_status()}"

 # 5. Switch Discussion
 print("[TEST] Creating new discussion 'AutoDisc'...")
 client.set_value("disc_new_name_input", "AutoDisc")
 client.click("btn_disc_create")
 time.sleep(1.0)
 
 print("[TEST] Switching to 'AutoDisc'...")
 client.select_list_item("disc_listbox", "AutoDisc")
 time.sleep(1.0)
 
 # Verify session is empty in new discussion
 session = client.get_session()
 entries = session.get('session', {}).get('entries', [])
 print(f"  New discussion history length: {len(entries)}")
 assert len(entries) == 0
 print("[TEST] Workflow completed successfully.")