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refactor(chat): add streaming/flows/shared/terminal_error.py
Extracts handle_terminal_exception: the shared except-branch behavior for the chat orchestrators. Classifies the raised exception, logs the structured chat_stream error event, and emits the terminal-error SSE frame + done sentinel via the streaming service. Add-only; nothing imports it yet.
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"""Handle the ``except Exception`` branch of a streaming flow.
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Classifies the exception, records OpenTelemetry attributes, emits one terminal
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error SSE frame and the trailing ``turn-status: idle`` + finish/done frames.
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Used by both ``stream_new_chat`` and ``stream_resume_chat``; flow-specific bits
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(label, span, BusyError tracking) are passed by the caller.
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"""
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from __future__ import annotations
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import logging
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import traceback
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from collections.abc import Iterator
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from typing import Any, Literal
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from app.agents.new_chat.errors import BusyError
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from app.observability import metrics as ot_metrics
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from app.observability import otel as ot
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from app.services.new_streaming_service import VercelStreamingService
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from app.tasks.chat.streaming.errors.classifier import classify_stream_exception
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from app.tasks.chat.streaming.errors.emitter import emit_stream_terminal_error
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from app.tasks.chat.streaming.flows.shared.first_frames import iter_final_frames
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from app.tasks.chat.streaming.flows.shared.span import record_outcome_attrs
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logger = logging.getLogger(__name__)
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def handle_terminal_exception(
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exc: Exception,
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*,
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flow: Literal["new", "regenerate", "resume"],
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flow_label: str,
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log_prefix: str,
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streaming_service: VercelStreamingService,
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request_id: str | None,
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chat_id: int,
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search_space_id: int,
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user_id: str | None,
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chat_span: Any,
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) -> tuple[Iterator[str], dict[str, Any]]:
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"""Classify, log, and produce the SSE frames for a terminal exception.
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Returns ``(frame_iterator, summary)``. ``summary`` carries::
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- ``busy_error_raised``: bool — caller must skip the lock-release path
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when True (caller never acquired the busy mutex).
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- ``chat_outcome``: str — span outcome attribute.
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- ``chat_error_category``: str — categorized error label for metrics.
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"""
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busy_error_raised = isinstance(exc, BusyError)
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(
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error_kind,
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error_code,
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severity,
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is_expected,
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user_message,
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error_extra,
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) = classify_stream_exception(exc, flow_label=flow_label)
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chat_outcome = error_code or error_kind or "error"
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chat_error_category = ot_metrics.categorize_exception(exc)
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record_outcome_attrs(
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chat_span,
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chat_outcome=chat_outcome,
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chat_error_category=chat_error_category,
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)
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with __suppress():
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ot.record_error(chat_span, exc)
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error_message = f"Error during {flow_label}: {exc!s}"
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# Match the original behavior: log full traceback via ``print`` so it lands
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# in stderr regardless of the logger config.
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print(f"[{log_prefix}] {error_message}")
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print(f"[{log_prefix}] Exception type: {type(exc).__name__}")
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print(f"[{log_prefix}] Traceback:\n{traceback.format_exc()}")
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def _iter_frames() -> Iterator[str]:
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if error_code == "TURN_CANCELLING":
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status_payload: dict[str, Any] = {"status": "cancelling"}
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if error_extra:
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status_payload.update(error_extra)
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yield streaming_service.format_data("turn-status", status_payload)
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else:
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yield streaming_service.format_data("turn-status", {"status": "busy"})
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yield emit_stream_terminal_error(
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streaming_service=streaming_service,
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flow=flow,
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request_id=request_id,
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thread_id=chat_id,
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search_space_id=search_space_id,
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user_id=user_id,
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message=user_message,
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error_kind=error_kind,
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error_code=error_code,
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severity=severity,
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is_expected=is_expected,
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extra=error_extra,
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)
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yield from iter_final_frames(streaming_service)
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return (
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_iter_frames(),
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{
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"busy_error_raised": busy_error_raised,
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"chat_outcome": chat_outcome,
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"chat_error_category": chat_error_category,
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},
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)
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def __suppress():
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"""Local single-use ``contextlib.suppress(Exception)`` factory.
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Inlined here so callers don't import ``contextlib`` just for the
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``record_error`` call site.
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"""
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import contextlib
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return contextlib.suppress(Exception)
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