manual_slop/tests/mock_concurrent_mma.py

import sys
import json
import os

# Persistent call counter (file-based so the mock survives across subprocess
# invocations). The mock gemini CLI is a short-lived subprocess invoked once
# per send() call; the session_id set by the adapter (--resume) tells the
# mock which response to return. Path is relative to the repo root (the test
# fixture sets subprocess cwd to tests/artifacts/live_gui_workspace_<ts>/ but
# the mock is invoked from the project root by its absolute path).
_CALL_COUNT_FILE = os.path.join(
  os.path.dirname(os.path.abspath(__file__)),
  "..", "artifacts", ".mock_concurrent_mma_call_count",
)
_CALL_COUNT_FILE = os.path.abspath(_CALL_COUNT_FILE)

def _next_call_count() -> int:
 """Atomically increment and return the per-test mock call count."""
 try:
  n = 0
  if os.path.exists(_CALL_COUNT_FILE):
   with open(_CALL_COUNT_FILE, "r", encoding="utf-8") as f:
    n = int((f.read() or "0").strip() or "0")
  n += 1
  os.makedirs(os.path.dirname(_CALL_COUNT_FILE), exist_ok=True)
  with open(_CALL_COUNT_FILE, "w", encoding="utf-8") as f:
   f.write(str(n))
  return n
 except Exception:
  return 0

def main() -> None:
 # Read prompt from stdin
 try:
  prompt = sys.stdin.read()
 except Exception:
  prompt = ""

 # Detect the session we're "resuming" via --resume arg (set by the
 # gemini_cli_adapter on subsequent calls).
 session_id = ""
 argv = sys.argv[1:]
 if "--resume" in argv:
  i = argv.index("--resume")
  if i + 1 < len(argv):
   session_id = argv[i + 1]

 call_n = _next_call_count()
 try:
  with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mock_diag.log", "ab") as _df:
   _df.write(f"[MOCK] call_n={call_n} session_id={session_id!r}\n".encode())
 except Exception: pass

 # 1. Sprint Planning (different tickets for different tracks)
 # Route on prompt content (the production passes the track_brief which
 # contains "Track A" or "Track B"). The prior session_id-based routing was
 # fragile because:
 #   1. The call_n counter is shared across tests in the same session, so
 #      call_n != 2 for the 1st sprint if a prior test ran.
 #   2. session_id="mock-sprint-A" means "this is a follow-up call after
 #      the 1st sprint returned mock-sprint-A", so the response should be
 #      sprint-B (2nd track), not sprint-A.
 # CHECK BEFORE epic so sprint takes priority over the catch-all epic branch.
 if 'generate the implementation tickets' in prompt:
  if "Track A" in prompt: track_label = "A"
  elif "Track B" in prompt: track_label = "B"
  elif "Track C" in prompt: track_label = "C"
  else: track_label = "A"
  _emit_sprint_ticket(track_label)
  try:
   with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mock_diag.log", "ab") as _df:
    _df.write(f"[MOCK] ROUTED TO: sprint track={track_label}\n".encode())
  except Exception: pass
  return

 # 2. Worker Execution
 # CHECK BEFORE epic so worker takes priority over the catch-all epic branch.
 if 'You are assigned to Ticket' in prompt:
  # NOTE: Removed session_id.startswith("mock-worker-") fallback. The session_id
  # persists across tests in the same session (gemini_cli_adapter is a singleton).
  # The fallback caused test_mma_concurrent_tracks_stress_sim to fail when it ran
  # AFTER test_mma_concurrent_tracks_execution: the execution test set the session_id
  # to mock-worker-ticket-A-1, and the stress test's epic call used --resume with that
  # session_id, which the fallback incorrectly matched, returning a worker response
  # instead of an epic response.
  import re
  match = re.search(r'Ticket (ticket-[A-Ba-b]-1)', prompt, re.IGNORECASE)
  if match:
   tid = match.group(1)
  elif session_id.startswith("mock-worker-"):
   tid = session_id[len("mock-worker-"):]
  else:
   tid = "unknown"

  try:
   with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mock_diag.log", "ab") as _df:
    _df.write(f"[MOCK] ROUTED TO: worker tid={tid}\n".encode())
  except Exception: pass
  print(json.dumps({
   "type": "message",
   "role": "assistant",
   "content": f"Working on {tid}. Done."
  }), flush=True)
  print(json.dumps({
   "type": "result",
   "status": "success",
   "stats": {"total_tokens": 50, "input_tokens": 25, "output_tokens": 25},
   "session_id": f"mock-worker-{tid}"
  }), flush=True)
  return

 # 3. Epic Initialization (catch-all for any non-empty prompt that
 # does not match the sprint or worker patterns above). This makes the
 # mock robust to test-specific epic prompts (e.g. 'STRESS TEST: TRACK A
 # AND TRACK B' used by test_mma_concurrent_tracks_stress_sim). The
 # prior version only matched 'PATH: Epic Initialization', so other
 # prompts fell to the Default branch and the production failed to parse
 # the response as JSON, returning 0 tracks.
 if prompt.strip():
  mock_response = [
   {"id": "track-a", "goal": "Track A Goal", "title": "Track A"},
   {"id": "track-b", "goal": "Track B Goal", "title": "Track B"}
  ]
  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-epic"
  }), flush=True)
  try:
   with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mock_diag.log", "ab") as _df:
    _df.write(b"[MOCK] ROUTED TO: epic_catchall\n")
  except Exception: pass
  return

 # Default
 try:
  with open(b"C:\\projects\\manual_slop_tier2\\tests\\artifacts\\tier2_state\\fix_mma_concurrent_tracks_sim_20260627\\mock_diag.log", "ab") as _df:
   _df.write(b"[MOCK] ROUTED TO: default\n")
 except Exception: pass
 print(json.dumps({
  "type": "message",
  "role": "assistant",
  "content": f"Mock response. Received prompt: {prompt[:100]}..."
 }), flush=True)
 print(json.dumps({
  "type": "result",
  "status": "success",
  "stats": {"total_tokens": 10, "input_tokens": 5, "output_tokens": 5},
  "session_id": "mock-default"
 }), flush=True)

def _emit_sprint_ticket(track_label: str) -> None:
 mock_response = [
  {"id": f"ticket-{track_label}-1", "description": f"Ticket {track_label} 1", "status": "todo", "assigned_to": "worker", "depends_on": []}
 ]
 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": f"mock-sprint-{track_label}"
 }), flush=True)

if __name__ == "__main__":
 main()