Files
2026-06-28 00:36:36 -07:00

223 lines
7.3 KiB
Python

"""Transcript event application and open-block tracking."""
from __future__ import annotations
from typing import Any
from .context import RenderCtx
from .renderer import render_segments
from .segments import (
ErrorSegment,
Segment,
SubagentSegment,
TextSegment,
ThinkingSegment,
ToolCallSegment,
ToolResultSegment,
)
from .subagents import SubagentState, task_heading_from_input
_SUBAGENT_SUPPRESSED_EVENTS = frozenset(
{
"thinking_start",
"thinking_delta",
"thinking_chunk",
"text_start",
"text_delta",
"text_chunk",
}
)
class TranscriptBuffer:
"""Maintains an ordered, truncatable transcript of parsed CLI events."""
def __init__(
self,
*,
show_tool_results: bool = True,
debug_subagent_stack: bool = False,
) -> None:
self._segments: list[Segment] = []
self._open_thinking_by_index: dict[int, ThinkingSegment] = {}
self._open_text_by_index: dict[int, TextSegment] = {}
self._open_tools_by_index: dict[int, ToolCallSegment] = {}
self._tool_name_by_id: dict[str, str] = {}
self._show_tool_results = bool(show_tool_results)
self._subagents = SubagentState(debug=debug_subagent_stack)
def apply(self, event: dict[str, Any]) -> None:
"""Apply a parsed CLI transcript event."""
event_type = event.get("type")
if self._subagents.in_subagent() and event_type in _SUBAGENT_SUPPRESSED_EVENTS:
return
if event_type == "thinking_start":
self._start_thinking(_event_index(event))
return
if event_type in ("thinking_delta", "thinking_chunk"):
self._append_thinking(_event_index(event), str(event.get("text", "")))
return
if event_type == "thinking_stop":
self._open_thinking_by_index.pop(_event_index(event), None)
return
if event_type == "text_start":
self._start_text(_event_index(event))
return
if event_type in ("text_delta", "text_chunk"):
self._append_text(_event_index(event), str(event.get("text", "")))
return
if event_type == "text_stop":
self._open_text_by_index.pop(_event_index(event), None)
return
if event_type == "tool_use_start":
self._start_tool_use(event)
return
if event_type == "tool_use_delta":
return
if event_type == "tool_use_stop":
segment = self._open_tools_by_index.pop(_event_index(event), None)
if segment is not None:
segment.closed = True
return
if event_type == "block_stop":
self._close_block(_event_index(event))
return
if event_type == "tool_use":
self._append_complete_tool_use(event)
return
if event_type == "tool_result":
self._append_tool_result(event)
return
if event_type == "error":
self._segments.append(ErrorSegment(str(event.get("message", ""))))
def render(self, ctx: RenderCtx, *, limit_chars: int, status: str | None) -> str:
return render_segments(
self._segments,
ctx,
limit_chars=limit_chars,
status=status,
)
def _start_thinking(self, index: int) -> None:
if index >= 0:
self._close_block(index)
segment = ThinkingSegment()
self._segments.append(segment)
if index >= 0:
self._open_thinking_by_index[index] = segment
def _append_thinking(self, index: int, text: str) -> None:
segment = self._open_thinking_by_index.get(index)
if segment is None:
segment = ThinkingSegment()
self._segments.append(segment)
if index >= 0:
self._open_thinking_by_index[index] = segment
segment.append(text)
def _start_text(self, index: int) -> None:
if index >= 0:
self._close_block(index)
segment = TextSegment()
self._segments.append(segment)
if index >= 0:
self._open_text_by_index[index] = segment
def _append_text(self, index: int, text: str) -> None:
segment = self._open_text_by_index.get(index)
if segment is None:
segment = TextSegment()
self._segments.append(segment)
if index >= 0:
self._open_text_by_index[index] = segment
segment.append(text)
def _start_tool_use(self, event: dict[str, Any]) -> None:
index = _event_index(event)
if index >= 0:
self._close_block(index)
tool_id = _event_tool_id(event, "id")
name = str(event.get("name", "") or "tool")
if tool_id:
self._tool_name_by_id[tool_id] = name
if name == "Task":
segment = SubagentSegment(task_heading_from_input(event.get("input")))
self._segments.append(segment)
self._subagents.push(tool_id, segment)
return
segment = self._append_tool_call(tool_id, name)
if index >= 0:
self._open_tools_by_index[index] = segment
def _append_complete_tool_use(self, event: dict[str, Any]) -> None:
tool_id = _event_tool_id(event, "id")
name = str(event.get("name", "") or "tool")
if tool_id:
self._tool_name_by_id[tool_id] = name
if name == "Task":
segment = SubagentSegment(task_heading_from_input(event.get("input")))
self._segments.append(segment)
self._subagents.push(tool_id, segment)
return
segment = self._append_tool_call(tool_id, name)
segment.closed = True
def _append_tool_call(self, tool_id: str, name: str) -> ToolCallSegment:
if self._subagents.in_subagent():
parent = self._subagents.current_segment()
if parent is not None:
return parent.set_current_tool_call(tool_id, name)
segment = ToolCallSegment(tool_id, name)
self._segments.append(segment)
return segment
def _append_tool_result(self, event: dict[str, Any]) -> None:
tool_id = _event_tool_id(event, "tool_use_id")
name = self._tool_name_by_id.get(tool_id)
if self._subagents.in_subagent():
self._subagents.close_for_tool_result(tool_id, tool_name=name)
if not self._show_tool_results:
return
self._segments.append(
ToolResultSegment(
tool_id,
event.get("content"),
name=name,
is_error=bool(event.get("is_error", False)),
)
)
def _close_block(self, index: int) -> None:
if index in self._open_tools_by_index:
segment = self._open_tools_by_index.pop(index, None)
if segment is not None:
segment.closed = True
return
if index in self._open_thinking_by_index:
self._open_thinking_by_index.pop(index, None)
return
if index in self._open_text_by_index:
self._open_text_by_index.pop(index, None)
def _event_index(event: dict[str, Any]) -> int:
return int(event.get("index", -1))
def _event_tool_id(event: dict[str, Any], key: str) -> str:
return str(event.get(key, "") or "").strip()