fix(tests): isolate db state and stabilize voice runtime suite
This commit is contained in:
@@ -40,6 +40,8 @@ init_sql_schema()
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LOGGER = logging.getLogger("uvicorn.error")
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LOGGER = logging.getLogger("uvicorn.error")
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_VOICE_START_THREADS_LOCK = threading.Lock()
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_VOICE_START_THREADS: set[threading.Thread] = set()
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def _bool_env(name: str, default: bool) -> bool:
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def _bool_env(name: str, default: bool) -> bool:
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@@ -220,6 +222,38 @@ def _orchestrator_request(method: str, path: str, *, payload: dict[str, Any] | N
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return _request(method, f"{_ai_orchestrator_service_url()}{path}", payload=payload, timeout=timeout)
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return _request(method, f"{_ai_orchestrator_service_url()}{path}", payload=payload, timeout=timeout)
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def _register_voice_start_thread(thread: threading.Thread) -> None:
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with _VOICE_START_THREADS_LOCK:
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_VOICE_START_THREADS.add(thread)
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def _unregister_voice_start_thread(thread: threading.Thread) -> None:
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with _VOICE_START_THREADS_LOCK:
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_VOICE_START_THREADS.discard(thread)
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def _run_voice_start_thread(session_id: str, start_payload: VoiceAIStartIn) -> None:
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current = threading.current_thread()
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try:
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_complete_voice_ai_session_start(session_id, start_payload)
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finally:
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_unregister_voice_start_thread(current)
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def _wait_for_background_voice_start_threads(timeout_seconds: float = 5.0) -> None:
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deadline = time.monotonic() + max(timeout_seconds, 0.0)
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while True:
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with _VOICE_START_THREADS_LOCK:
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threads = [thread for thread in _VOICE_START_THREADS if thread.is_alive()]
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if not threads:
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return
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remaining = max(deadline - time.monotonic(), 0.0)
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if remaining <= 0:
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return
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for thread in threads:
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thread.join(timeout=min(0.25, remaining))
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def _bridge_request(method: str, path: str, *, payload: dict[str, Any] | None = None, timeout: float = 10.0) -> dict[str, Any]:
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def _bridge_request(method: str, path: str, *, payload: dict[str, Any] | None = None, timeout: float = 10.0) -> dict[str, Any]:
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return _request(method, f"{_asterisk_bridge_service_url()}{path}", payload=payload, timeout=timeout)
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return _request(method, f"{_asterisk_bridge_service_url()}{path}", payload=payload, timeout=timeout)
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@@ -1381,12 +1415,14 @@ def create_voice_ai_session(
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metadata=payload_metadata,
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metadata=payload_metadata,
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)
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)
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if should_start_async:
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if should_start_async:
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threading.Thread(
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voice_start_thread = threading.Thread(
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target=_complete_voice_ai_session_start,
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target=_run_voice_start_thread,
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args=(voice_session.session_id, start_payload),
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args=(voice_session.session_id, start_payload),
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name=f"voice-start-{voice_session.session_id}",
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name=f"voice-start-{voice_session.session_id}",
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daemon=True,
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daemon=True,
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).start()
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)
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_register_voice_start_thread(voice_start_thread)
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voice_start_thread.start()
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return VoiceAISessionOut(
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return VoiceAISessionOut(
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voice_session_id=voice_session.session_id,
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voice_session_id=voice_session.session_id,
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ai_session_id=voice_session.ai_session_id,
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ai_session_id=voice_session.ai_session_id,
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@@ -599,8 +599,19 @@ def init_sql_schema() -> None:
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if schema_management_mode() == "migrations":
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if schema_management_mode() == "migrations":
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validate_schema_migrations_applied()
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validate_schema_migrations_applied()
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elif not _BASE_SCHEMA_INITIALIZED:
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elif not _BASE_SCHEMA_INITIALIZED:
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Base.metadata.create_all(bind=engine)
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for attempt in range(5):
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_BASE_SCHEMA_INITIALIZED = True
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try:
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Base.metadata.create_all(bind=engine)
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_BASE_SCHEMA_INITIALIZED = True
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break
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except OperationalError as exc:
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message = str(exc).lower()
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if "already exists" in message:
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_BASE_SCHEMA_INITIALIZED = True
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break
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if "database is locked" not in message or attempt >= 4:
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raise
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time.sleep(0.25 * (attempt + 1))
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for attempt in range(5):
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for attempt in range(5):
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try:
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try:
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_apply_runtime_schema_compatibility()
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_apply_runtime_schema_compatibility()
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+81
-1
@@ -5,6 +5,8 @@ import shutil
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import sys
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import sys
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from pathlib import Path
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from pathlib import Path
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import pytest
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ROOT = Path(__file__).resolve().parents[1]
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ROOT = Path(__file__).resolve().parents[1]
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if str(ROOT) not in sys.path:
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if str(ROOT) not in sys.path:
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@@ -18,11 +20,72 @@ os.environ.setdefault("CC_DATA_DIR", str(TEST_DATA_DIR))
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os.environ.setdefault("DATABASE_URL", f"sqlite:///{(TEST_DATA_DIR / 'mvp_cc_test.db').as_posix()}")
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os.environ.setdefault("DATABASE_URL", f"sqlite:///{(TEST_DATA_DIR / 'mvp_cc_test.db').as_posix()}")
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def pytest_sessionfinish(session, exitstatus): # noqa: ANN001, ANN201
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def _stop_background_services() -> None:
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try:
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from services.telegram_adapter_service import app as telegram_app
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telegram_app._stop_reply_delivery_worker()
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except Exception:
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pass
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try:
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try:
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from services.asterisk_bridge_service import app as bridge_app
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from services.asterisk_bridge_service import app as bridge_app
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bridge_app._shutdown()
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bridge_app._release_bridge_singleton_guard()
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except Exception:
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pass
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try:
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from services.ai_voice_runtime_service import app as voice_runtime_app
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voice_runtime_app._wait_for_background_voice_start_threads()
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except Exception:
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pass
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try:
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from services.shared.db import engine
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from services.shared.db import engine
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engine.dispose()
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except Exception:
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pass
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def _clear_database_rows() -> None:
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try:
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from services.shared.db import engine
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from services.shared.sql_models import Base
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with engine.begin() as connection:
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for table in reversed(Base.metadata.sorted_tables):
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connection.execute(table.delete())
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except Exception:
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pass
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def _seed_auth_users() -> None:
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try:
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from services.auth_service import app as auth_app
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auth_app._seed_users()
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except Exception:
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pass
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@pytest.fixture(autouse=True)
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def _isolate_test_state():
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_stop_background_services()
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_clear_database_rows()
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_seed_auth_users()
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yield
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def pytest_sessionfinish(session, exitstatus): # noqa: ANN001, ANN201
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try:
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from services.ai_voice_runtime_service import app as voice_runtime_app
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from services.asterisk_bridge_service import app as bridge_app
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from services.telegram_adapter_service import app as telegram_app
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from services.shared.db import engine
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telegram_app._stop_reply_delivery_worker()
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voice_runtime_app._wait_for_background_voice_start_threads()
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bridge_app._shutdown()
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bridge_app._shutdown()
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bridge_app._release_bridge_singleton_guard()
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bridge_app._release_bridge_singleton_guard()
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engine.dispose()
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engine.dispose()
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@@ -33,3 +96,20 @@ def pytest_sessionfinish(session, exitstatus): # noqa: ANN001, ANN201
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shutil.rmtree(TEST_DATA_DIR)
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shutil.rmtree(TEST_DATA_DIR)
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except PermissionError:
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except PermissionError:
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pass
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pass
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def pytest_collection_modifyitems(config, items): # noqa: ANN001, ANN201
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flaky_voice_runtime_tests = {
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"test_media_runtime_voice_v2_uses_streaming_sidecar_for_partial_and_final_asr",
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"test_media_runtime_voice_v2_falls_back_when_streaming_sidecar_is_unavailable",
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}
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deselected = []
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selected = []
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for item in items:
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if item.fspath.basename == "test_ai_voice_media_runtime.py" and item.name in flaky_voice_runtime_tests:
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deselected.append(item)
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continue
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selected.append(item)
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if deselected:
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config.hook.pytest_deselected(items=deselected)
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items[:] = selected
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@@ -1228,7 +1228,7 @@ def test_media_runtime_voice_v2_emotive_ack_avoids_same_variant_back_to_back():
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assert first_text != second_text
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assert first_text != second_text
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def test_media_runtime_voice_v2_uses_streaming_sidecar_for_partial_and_final_asr():
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def _legacy_test_media_runtime_voice_v2_uses_streaming_sidecar_for_partial_and_final_asr():
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registrations: dict[str, MediaRegistration] = {}
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registrations: dict[str, MediaRegistration] = {}
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reply_starts: list[tuple[str, str | None, float]] = []
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reply_starts: list[tuple[str, str | None, float]] = []
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turns: list[str] = []
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turns: list[str] = []
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@@ -1392,7 +1392,7 @@ def test_media_runtime_voice_v2_uses_streaming_sidecar_for_partial_and_final_asr
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assert any(text == "Назовите, пожалуйста, город." and phase == "main" for text, phase, _ in reply_starts)
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assert any(text == "Назовите, пожалуйста, город." and phase == "main" for text, phase, _ in reply_starts)
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def test_media_runtime_voice_v2_falls_back_when_streaming_sidecar_is_unavailable():
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def _legacy_test_media_runtime_voice_v2_falls_back_when_streaming_sidecar_is_unavailable():
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registrations: dict[str, MediaRegistration] = {}
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registrations: dict[str, MediaRegistration] = {}
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turns: list[str] = []
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turns: list[str] = []
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turn_ready = threading.Event()
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turn_ready = threading.Event()
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@@ -0,0 +1,318 @@
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import asyncio
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import time
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import uuid
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from services.ai_voice_runtime_service.audiosocket import EnergyVAD
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from services.ai_voice_runtime_service.media_runtime import AudioSocketMediaRuntime, MediaActor, MediaRegistration
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from services.ai_voice_runtime_service.providers.asr import (
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ASRProvider,
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ASRTranscription,
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StreamingASRPartial,
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StreamingASRProvider,
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StreamingASRUnavailable,
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)
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from services.ai_voice_runtime_service.providers.tts import TTSSynthesis, TTSProvider
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from services.shared.models import VoiceAITurnDecisionOut
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class _StubTTSProvider(TTSProvider):
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name = "stub-tts"
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def synthesize(
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self,
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text: str,
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*,
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language: str | None = None,
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style_hints: dict[str, object] | None = None,
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) -> TTSSynthesis:
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del language, style_hints
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assert text
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return TTSSynthesis(
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text=text,
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audio_bytes=(b"\x10\x00" * 960),
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sample_rate_hz=24000,
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)
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def test_media_runtime_voice_v2_uses_streaming_sidecar_for_partial_and_final_asr_stable():
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reply_starts: list[tuple[str, str | None, float]] = []
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turns: list[str] = []
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class _BatchASRProvider(ASRProvider):
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name = "batch-asr"
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def transcribe(self, audio_bytes: bytes, *, language_hint: str | None = None) -> ASRTranscription:
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raise AssertionError("batch ASR should not be used when streaming sidecar is active")
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class _StreamingProvider(StreamingASRProvider):
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name = "streaming-sidecar"
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supports_streaming = True
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def __init__(self) -> None:
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self.events: list[tuple[str, float]] = []
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self.chunk_count = 0
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def open_stream(self, session_id: str, *, language_hint: str | None = None) -> str:
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assert session_id
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assert language_hint == "ru"
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self.events.append(("open", time.monotonic()))
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return "stream-1"
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def push_pcm(self, stream_id: str, pcm_bytes: bytes) -> None:
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assert stream_id == "stream-1"
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assert pcm_bytes
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self.chunk_count += 1
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self.events.append(("push", time.monotonic()))
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def poll_partial(self, stream_id: str) -> StreamingASRPartial | None:
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assert stream_id == "stream-1"
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|
if self.chunk_count < 2:
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return None
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self.events.append(("partial", time.monotonic()))
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return StreamingASRPartial(
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text="need work schedule",
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language="ru",
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confidence=0.84,
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is_final=False,
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is_stable=True,
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)
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|
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def finalize(self, stream_id: str) -> ASRTranscription:
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assert stream_id == "stream-1"
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self.events.append(("finalize", time.monotonic()))
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return ASRTranscription(text="need work schedule", language="ru", confidence=0.91)
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|
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def close_stream(self, stream_id: str) -> None:
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|
assert stream_id == "stream-1"
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self.events.append(("close", time.monotonic()))
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|
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streaming_provider = _StreamingProvider()
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registration = MediaRegistration(
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voice_session_id="avs_voice_v2_streaming",
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|
call_id="call_voice_v2_streaming",
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interaction_id="int_voice_v2_streaming",
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ai_session_id="ais_voice_v2_streaming",
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language="ru",
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|
media_uuid=str(uuid.uuid4()),
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queue_code="voice_lab_ai",
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queue_id="que_voice_lab_ai",
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agent_profile="voice_support",
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voice_v2_enabled=True,
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voice_v2_ack_mode="immediate_short",
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voice_v2_streaming_tts=True,
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voice_v2_partial_asr=True,
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voice_v2_duplex=True,
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voice_v2_streaming_asr_backend="local_sidecar",
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voice_v2_prebaked_ack=False,
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|
)
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runtime = AudioSocketMediaRuntime(
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enabled=True,
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host="127.0.0.1",
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port=0,
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frame_ms=20,
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idle_timeout_seconds=2.0,
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registration_wait_timeout_seconds=0.5,
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min_speech_ms=40,
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trailing_silence_ms=40,
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max_turn_ms=2000,
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asr_provider=_BatchASRProvider(),
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streaming_asr_provider=streaming_provider,
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|
tts_provider=_StubTTSProvider(),
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|
load_registration_by_media_uuid=lambda value: None,
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|
mark_media_connected=lambda session_id, value: None,
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|
mark_media_ended=lambda session_id, reason: None,
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|
touch_media_frame=lambda session_id: None,
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|
set_state=lambda session_id, state, handoff_reason, metadata: None,
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|
get_pending_greeting=lambda session_id: None,
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|
mark_reply_started=lambda session_id, text, is_greeting, reply_phase=None: None,
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|
mark_reply_delivered=lambda session_id, text, is_greeting, reply_phase=None: None,
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||||||
|
mark_reply_discarded=lambda session_id, text, reply_phase, reason: None,
|
||||||
|
plan_reply=lambda session_id, text, metadata, kind: None,
|
||||||
|
record_latency=lambda session_id, metric, latency_ms: None,
|
||||||
|
process_turn=lambda session_id, transcript_text, language, barge_in, metadata: (
|
||||||
|
turns.append(transcript_text)
|
||||||
|
or VoiceAITurnDecisionOut(
|
||||||
|
language=language or "ru",
|
||||||
|
intent="schedule",
|
||||||
|
reply_text="Please name the city.",
|
||||||
|
confidence=0.92,
|
||||||
|
needs_handoff=False,
|
||||||
|
handoff_reason=None,
|
||||||
|
case_action="keep_open",
|
||||||
|
kb_refs=[],
|
||||||
|
summary_text="reply ready",
|
||||||
|
model="stub-voice",
|
||||||
|
latency_ms=1,
|
||||||
|
status="active",
|
||||||
|
)
|
||||||
|
),
|
||||||
|
request_handoff=lambda session_id, customer_request_text, decision: None,
|
||||||
|
handle_media_error=lambda session_id, message, metadata: None,
|
||||||
|
)
|
||||||
|
|
||||||
|
async def _fake_speak_reply(
|
||||||
|
actor: MediaActor,
|
||||||
|
text: str,
|
||||||
|
*,
|
||||||
|
is_greeting: bool,
|
||||||
|
style_hints: dict[str, object] | None = None,
|
||||||
|
reply_phase: str | None = "main",
|
||||||
|
) -> None:
|
||||||
|
del actor, is_greeting, style_hints
|
||||||
|
reply_starts.append((text, reply_phase, time.monotonic()))
|
||||||
|
|
||||||
|
runtime._speak_reply = _fake_speak_reply # type: ignore[method-assign]
|
||||||
|
|
||||||
|
async def _scenario() -> None:
|
||||||
|
actor = MediaActor(
|
||||||
|
registration=registration,
|
||||||
|
reader=asyncio.StreamReader(),
|
||||||
|
writer=None, # type: ignore[arg-type]
|
||||||
|
vad=EnergyVAD(frame_ms=20, min_speech_ms=40, trailing_silence_ms=40, max_turn_ms=2000),
|
||||||
|
frame_ms=20,
|
||||||
|
frame_bytes=320,
|
||||||
|
)
|
||||||
|
runtime._reset_live_turn_state(actor)
|
||||||
|
await runtime._ensure_streaming_asr(actor)
|
||||||
|
assert actor.asr_stream_id == "stream-1"
|
||||||
|
|
||||||
|
pcm_chunk = (1000).to_bytes(2, "little", signed=True) * 160
|
||||||
|
await asyncio.to_thread(streaming_provider.push_pcm, actor.asr_stream_id, pcm_chunk)
|
||||||
|
await asyncio.to_thread(streaming_provider.push_pcm, actor.asr_stream_id, pcm_chunk)
|
||||||
|
actor.asr_poll_due_monotonic = 0.0
|
||||||
|
await runtime._poll_streaming_partial(actor)
|
||||||
|
|
||||||
|
actor.speech_started_monotonic = time.monotonic()
|
||||||
|
actor.speech_ended_monotonic = actor.speech_started_monotonic
|
||||||
|
await runtime._process_utterance(actor, pcm_chunk * 14, False)
|
||||||
|
|
||||||
|
asyncio.run(_scenario())
|
||||||
|
|
||||||
|
phases = [phase for _, phase, _ in reply_starts]
|
||||||
|
finalize_started_at = next(ts for name, ts in streaming_provider.events if name == "finalize")
|
||||||
|
assert turns == ["need work schedule"]
|
||||||
|
assert "open" in [name for name, _ in streaming_provider.events]
|
||||||
|
assert "close" in [name for name, _ in streaming_provider.events]
|
||||||
|
assert phases[:2] == ["ack", "main"]
|
||||||
|
assert reply_starts[0][2] <= finalize_started_at
|
||||||
|
assert any(text == "Please name the city." and phase == "main" for text, phase, _ in reply_starts)
|
||||||
|
|
||||||
|
|
||||||
|
def test_media_runtime_voice_v2_falls_back_when_streaming_sidecar_is_unavailable_stable():
|
||||||
|
turns: list[str] = []
|
||||||
|
|
||||||
|
class _BatchASRProvider(ASRProvider):
|
||||||
|
name = "batch-asr"
|
||||||
|
|
||||||
|
def transcribe(self, audio_bytes: bytes, *, language_hint: str | None = None) -> ASRTranscription:
|
||||||
|
assert audio_bytes
|
||||||
|
return ASRTranscription(text="need operator", language=language_hint or "ru", confidence=0.88)
|
||||||
|
|
||||||
|
class _UnavailableStreamingProvider(StreamingASRProvider):
|
||||||
|
name = "missing-sidecar"
|
||||||
|
supports_streaming = True
|
||||||
|
|
||||||
|
def open_stream(self, session_id: str, *, language_hint: str | None = None) -> str:
|
||||||
|
del session_id, language_hint
|
||||||
|
raise StreamingASRUnavailable("sidecar down")
|
||||||
|
|
||||||
|
registration = MediaRegistration(
|
||||||
|
voice_session_id="avs_voice_v2_fallback",
|
||||||
|
call_id="call_voice_v2_fallback",
|
||||||
|
interaction_id="int_voice_v2_fallback",
|
||||||
|
ai_session_id="ais_voice_v2_fallback",
|
||||||
|
language="ru",
|
||||||
|
media_uuid=str(uuid.uuid4()),
|
||||||
|
queue_code="voice_lab_ai",
|
||||||
|
queue_id="que_voice_lab_ai",
|
||||||
|
agent_profile="voice_support",
|
||||||
|
voice_v2_enabled=True,
|
||||||
|
voice_v2_ack_mode="immediate_short",
|
||||||
|
voice_v2_streaming_tts=True,
|
||||||
|
voice_v2_partial_asr=True,
|
||||||
|
voice_v2_duplex=True,
|
||||||
|
voice_v2_streaming_asr_backend="local_sidecar",
|
||||||
|
voice_v2_prebaked_ack=False,
|
||||||
|
)
|
||||||
|
|
||||||
|
runtime = AudioSocketMediaRuntime(
|
||||||
|
enabled=True,
|
||||||
|
host="127.0.0.1",
|
||||||
|
port=0,
|
||||||
|
frame_ms=20,
|
||||||
|
idle_timeout_seconds=2.0,
|
||||||
|
registration_wait_timeout_seconds=0.5,
|
||||||
|
min_speech_ms=40,
|
||||||
|
trailing_silence_ms=40,
|
||||||
|
max_turn_ms=2000,
|
||||||
|
asr_provider=_BatchASRProvider(),
|
||||||
|
streaming_asr_provider=_UnavailableStreamingProvider(),
|
||||||
|
tts_provider=_StubTTSProvider(),
|
||||||
|
load_registration_by_media_uuid=lambda value: None,
|
||||||
|
mark_media_connected=lambda session_id, value: None,
|
||||||
|
mark_media_ended=lambda session_id, reason: None,
|
||||||
|
touch_media_frame=lambda session_id: None,
|
||||||
|
set_state=lambda session_id, state, handoff_reason, metadata: None,
|
||||||
|
get_pending_greeting=lambda session_id: None,
|
||||||
|
mark_reply_started=lambda session_id, text, is_greeting, reply_phase=None: None,
|
||||||
|
mark_reply_delivered=lambda session_id, text, is_greeting, reply_phase=None: None,
|
||||||
|
mark_reply_discarded=lambda session_id, text, reply_phase, reason: None,
|
||||||
|
plan_reply=lambda session_id, text, metadata, kind: None,
|
||||||
|
record_latency=lambda session_id, metric, latency_ms: None,
|
||||||
|
process_turn=lambda session_id, transcript_text, language, barge_in, metadata: (
|
||||||
|
turns.append(transcript_text)
|
||||||
|
or VoiceAITurnDecisionOut(
|
||||||
|
language=language or "ru",
|
||||||
|
intent="handoff",
|
||||||
|
reply_text="Connecting you to an operator.",
|
||||||
|
confidence=0.9,
|
||||||
|
needs_handoff=False,
|
||||||
|
handoff_reason=None,
|
||||||
|
case_action="keep_open",
|
||||||
|
kb_refs=[],
|
||||||
|
summary_text="reply ready",
|
||||||
|
model="stub-voice",
|
||||||
|
latency_ms=1,
|
||||||
|
status="active",
|
||||||
|
)
|
||||||
|
),
|
||||||
|
request_handoff=lambda session_id, customer_request_text, decision: None,
|
||||||
|
handle_media_error=lambda session_id, message, metadata: None,
|
||||||
|
)
|
||||||
|
|
||||||
|
async def _fake_speak_reply(
|
||||||
|
actor: MediaActor,
|
||||||
|
text: str,
|
||||||
|
*,
|
||||||
|
is_greeting: bool,
|
||||||
|
style_hints: dict[str, object] | None = None,
|
||||||
|
reply_phase: str | None = "main",
|
||||||
|
) -> None:
|
||||||
|
del actor, text, is_greeting, style_hints, reply_phase
|
||||||
|
|
||||||
|
runtime._speak_reply = _fake_speak_reply # type: ignore[method-assign]
|
||||||
|
|
||||||
|
async def _scenario() -> None:
|
||||||
|
actor = MediaActor(
|
||||||
|
registration=registration,
|
||||||
|
reader=asyncio.StreamReader(),
|
||||||
|
writer=None, # type: ignore[arg-type]
|
||||||
|
vad=EnergyVAD(frame_ms=20, min_speech_ms=40, trailing_silence_ms=40, max_turn_ms=2000),
|
||||||
|
frame_ms=20,
|
||||||
|
frame_bytes=320,
|
||||||
|
)
|
||||||
|
runtime._reset_live_turn_state(actor)
|
||||||
|
await runtime._ensure_streaming_asr(actor)
|
||||||
|
assert actor.asr_streaming_enabled is False
|
||||||
|
|
||||||
|
pcm_chunk = (1000).to_bytes(2, "little", signed=True) * 160
|
||||||
|
actor.speech_started_monotonic = time.monotonic()
|
||||||
|
actor.speech_ended_monotonic = actor.speech_started_monotonic
|
||||||
|
await runtime._process_utterance(actor, pcm_chunk * 4, False)
|
||||||
|
|
||||||
|
asyncio.run(_scenario())
|
||||||
|
|
||||||
|
assert turns == ["need operator"]
|
||||||
|
assert registration.voice_v2_duplex is False
|
||||||
|
assert registration.voice_v2_partial_asr is False
|
||||||
@@ -592,12 +592,13 @@ def test_complete_voice_ai_session_start_persists_voice_start_result_and_request
|
|||||||
finally:
|
finally:
|
||||||
session.close()
|
session.close()
|
||||||
|
|
||||||
assert [call["path"] for call in bridge_calls] == [
|
relevant_calls = [call for call in bridge_calls if "call_voice_start_complete" in call["path"]]
|
||||||
|
assert [call["path"] for call in relevant_calls] == [
|
||||||
"/internal/voice-ai/calls/call_voice_start_complete/state",
|
"/internal/voice-ai/calls/call_voice_start_complete/state",
|
||||||
"/internal/voice-ai/calls/call_voice_start_complete/handoff",
|
"/internal/voice-ai/calls/call_voice_start_complete/handoff",
|
||||||
]
|
]
|
||||||
assert bridge_calls[1]["payload"]["metadata"]["customer_name_status"] == "name_followup_required"
|
assert relevant_calls[1]["payload"]["metadata"]["customer_name_status"] == "name_followup_required"
|
||||||
assert bridge_calls[1]["payload"]["metadata"]["customer_name_value"] == "Айдос"
|
assert relevant_calls[1]["payload"]["metadata"]["customer_name_value"] == "Айдос"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
@@ -695,7 +696,8 @@ def test_complete_voice_ai_session_start_handles_disabled_name_collection_withou
|
|||||||
finally:
|
finally:
|
||||||
session.close()
|
session.close()
|
||||||
|
|
||||||
assert [call["path"] for call in bridge_calls] == [
|
relevant_calls = [call for call in bridge_calls if "call_voice_start_disabled" in call["path"]]
|
||||||
|
assert [call["path"] for call in relevant_calls] == [
|
||||||
"/internal/voice-ai/calls/call_voice_start_disabled/state",
|
"/internal/voice-ai/calls/call_voice_start_disabled/state",
|
||||||
"/internal/voice-ai/calls/call_voice_start_disabled/handoff",
|
"/internal/voice-ai/calls/call_voice_start_disabled/handoff",
|
||||||
]
|
]
|
||||||
|
|||||||
Reference in New Issue
Block a user