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2026-06-12 02:17:37 +05:30

42 lines
1.8 KiB
Python

"""Per-turn streaming state shared between the orchestrator and event loop."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
@dataclass
class StreamResult:
accumulated_text: str = ""
is_interrupted: bool = False
sandbox_files: list[str] = field(default_factory=list)
request_id: str | None = None
turn_id: str = ""
filesystem_mode: str = "cloud"
client_platform: str = "web"
intent_detected: str = "chat_only"
intent_confidence: float = 0.0
write_attempted: bool = False
write_succeeded: bool = False
verification_succeeded: bool = False
commit_gate_passed: bool = True
commit_gate_reason: str = ""
# Pre-allocated assistant ``new_chat_messages.id`` for this turn, captured by
# ``persist_assistant_shell`` right after the user row is persisted. ``None``
# for the legacy/anonymous code paths that don't opt in to server-side
# ``ContentPart[]`` projection.
assistant_message_id: int | None = None
# In-memory mirror of the FE's assistant-ui ``ContentPartsState``, populated
# by the lifecycle methods called from the streaming event loop at each
# ``streaming_service.format_*`` yield site. Snapshot in the streaming
# ``finally`` to produce the rich JSONB persisted by
# ``finalize_assistant_turn``. ``repr=False`` keeps the log-on-error path
# (``StreamResult`` is logged in some error branches) from dumping a
# potentially-large parts list.
content_builder: Any | None = field(default=None, repr=False)
# User-visible assistant message parts derived from the final LangGraph
# state. Used after streaming completes as a provider-agnostic persistence
# backfill when no text chunks reached the live stream.
final_message_parts: list[dict[str, Any]] = field(default_factory=list)