mirror of
https://github.com/MODSetter/SurfSense.git
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98 lines
4 KiB
Python
98 lines
4 KiB
Python
"""Mutable counters and maps for one agent stream."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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@dataclass
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class AgentEventRelayState:
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"""Tracks text, thinking steps, tool depth, and pending tool-call metadata.
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**Task span (`spanId`)** — ``active_span_id`` groups steps and tools for one
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open delegating ``task`` episode. ``active_task_run_id`` is the LangGraph
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``run_id`` of that ``task`` so the span clears only when that run ends, not
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when child tools end. Open/close uses ``relay.task_span`` helpers.
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**Tool ↔ thinking link (`thinkingStepId`)** — Each tool run gets a thinking-row
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id (``tool_step_ids[run_id]``, emitted as ``data-thinking-step`` ``data.id``).
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``tool_activity_metadata`` supplies ``metadata`` for ``tool-input-start`` /
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``tool-input-available`` (``handlers.tool_start``) and
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``tool-output-available`` (``handlers.tool_end``).
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"""
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accumulated_text: str = ""
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current_text_id: str | None = None
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thinking_step_counter: int = 0
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tool_step_ids: dict[str, str] = field(default_factory=dict)
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completed_step_ids: set[str] = field(default_factory=set)
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last_active_step_id: str | None = None
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last_active_step_title: str = ""
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last_active_step_items: list[str] = field(default_factory=list)
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just_finished_tool: bool = False
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active_tool_depth: int = 0
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called_update_memory: bool = False
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current_reasoning_id: str | None = None
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pending_tool_call_chunks: list[dict[str, Any]] = field(default_factory=list)
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lc_tool_call_id_by_run: dict[str, str] = field(default_factory=dict)
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file_path_by_run: dict[str, str] = field(default_factory=dict)
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index_to_meta: dict[int, dict[str, str]] = field(default_factory=dict)
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ui_tool_call_id_by_run: dict[str, str] = field(default_factory=dict)
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current_lc_tool_call_id: dict[str, str | None] = field(
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default_factory=lambda: {"value": None}
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)
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# Open ``task`` delegation span (one id shared by nested activity); unset outside.
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active_span_id: str | None = None
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active_task_run_id: str | None = None
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# Span id minted when a ``task`` tool_call_chunk registers (before ``on_tool_start``).
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pending_task_span_by_lc: dict[str, str] = field(default_factory=dict)
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def span_metadata_if_active(self) -> dict[str, Any] | None:
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"""``{"spanId": ...}`` when a span is active; ``None`` otherwise."""
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if self.active_span_id:
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return {"spanId": self.active_span_id}
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return None
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def tool_activity_metadata(
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self, *, thinking_step_id: str | None
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) -> dict[str, Any] | None:
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"""Build ``metadata`` for tool SSE and ``tool-call`` persistence.
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Contract (keys omitted when not applicable):
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- ``spanId`` (str): present while a task-delegation span is active
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(same value as ``span_metadata_if_active()``).
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- ``thinkingStepId`` (str): equals the thinking-step row ``id`` for this
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tool (``data-thinking-step`` payload ``data.id`` on the wire).
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Returns ``None`` if neither applies. Whitespace-only
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``thinking_step_id`` is ignored.
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"""
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out: dict[str, Any] = {}
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if self.active_span_id:
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out["spanId"] = self.active_span_id
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tid = (thinking_step_id or "").strip()
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if tid:
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out["thinkingStepId"] = tid
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return out if out else None
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@classmethod
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def for_invocation(
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cls,
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*,
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initial_step_id: str | None = None,
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initial_step_title: str = "",
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initial_step_items: list[str] | None = None,
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) -> AgentEventRelayState:
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counter = 1 if initial_step_id else 0
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return cls(
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thinking_step_counter=counter,
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last_active_step_id=initial_step_id,
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last_active_step_title=initial_step_title,
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last_active_step_items=list(initial_step_items or []),
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)
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def next_thinking_step_id(self, step_prefix: str) -> str:
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self.thinking_step_counter += 1
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return f"{step_prefix}-{self.thinking_step_counter}"
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