DanielWalnut 25ea6970a6
feat(runtime): implement goal continuations (#3858)
* implement goal continuations

* fix(goal): address review findings for goal continuations

- goal: key the no-progress breaker on a signature of the latest visible
  assistant evidence instead of the evaluator's volatile free-text, so it
  actually fires on stalled turns; thread the signature through every
  worker persist / no-progress call site
- goal: align _stand_down_reason default caps with should_continue_goal
  (8 / 2) so the two gate functions agree on goals missing the fields
- runtime: offload the synchronous checkpointer fallback via
  asyncio.to_thread (goal.py + worker.py) to keep blocking IO off the loop
- frontend: i18n the GoalStatus "Goal" label (goalLabel in en/zh/types)
- frontend: extract pure composer helpers into input-box-helpers.ts with
  unit tests (parseGoalCommand, readGoalResponseError, skill suggestions)
- tests: cover the evidence-based no-progress and default-cap behavior
- docs: align backend/AGENTS.md goal paragraph with actual behavior
- e2e: prettier-format chat.spec.ts (fixes the lint-frontend CI failure)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* feat(frontend): hide goal continuation counter until the agent continues

The goal status bar rendered a raw "0/8" before any auto-continuation, which
read as a mysterious score. Now the counter is hidden until
continuation_count > 0, then shows "Continuing N/M" with a tooltip explaining
the auto-continuation cap.

- Extract getGoalContinuationDisplay into a pure helper (hides at 0) + unit tests
- Add goalContinuing / goalContinuationTooltip i18n keys (en/zh/types)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* fix(goal): address review findings for goal continuations

Frontend correctness
- Fix the optimistic /goal result permanently shadowing server goal state:
  the streamed continuation counter never surfaced for a goal set in-session.
  Extract a shared useActiveGoal hook (used by both chat pages) that reconciles
  the optimistic copy with server state via a goalReconciliationKey, de-duping
  the copy-pasted goal block across the two pages.
- Stop /goal status|clear failures from escaping handleSubmit as unhandled
  rejections (handleGoalCommand now returns success; the run only starts when a
  goal was actually saved).
- Use a function replacer for the goal-status toast so an objective containing
  $&/$1 isn't treated as a replacement pattern.

Backend cleanliness / correctness
- De-duplicate four byte-identical helpers (_call_checkpointer_method,
  _message_type, _additional_kwargs, _is_visible_message) by importing them
  from runtime.goal instead of re-defining them in the run worker.
- Remove the dead `checkpoint_tuple.tasks` durability guard (CheckpointTuple has
  no tasks field) and document that pending_writes is the durability signal.
- Decompose the 176-line _prepare_goal_continuation_input: extract
  _reread_goal_and_checkpoint and a _persist closure so the thread-unchanged
  guard and stand-down persistence aren't open-coded three times. Document the
  last-writer-wins write-window limitation as a follow-up.
- Add a shared parse_goal_command helper and use it from the TUI and IM-channel
  /goal handlers (one place for the status/clear/set semantics).

Tests
- Restore the 11 command-registry tests dropped by the previous goal change
  (filter_commands ranking/description, build_registry builtins/skills, resolve
  cases) alongside the new goal tests.
- Add coverage for the IM-channel _handle_goal_command, the TUI _handle_goal
  handler, parse_goal_command, and goalReconciliationKey.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* fix goal review feedback

* fix goal continuation checkpoint races

* prioritize goal commands while streaming

Route composer submits through a shared helper so /goal commands can be handled before the streaming stop shortcut, while ordinary streaming submits still stop the active run.

Testing: cd frontend && pnpm exec rstest run tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; cd frontend && pnpm check

* preserve goal status during clarification

Keep omitted stream goal fields distinct from explicit null clears so clarification interrupts do not hide an active thread goal that is still present in the checkpoint.

Testing: pnpm exec rstest run tests/unit/components/workspace/use-active-goal.test.ts tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; pnpm check; git diff --check

* style: format active goal hook

Run Prettier on use-active-goal.ts to satisfy the frontend lint workflow formatting gate.

Testing: pnpm format; pnpm exec rstest run tests/unit/components/workspace/use-active-goal.test.ts tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; pnpm check; git diff --check

* fix goal review followups

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-03 08:49:33 +08:00

691 lines
25 KiB
Python

"""The Textual application — a terminal workbench over the embedded harness.
The app keeps a single immutable :class:`ViewState` and re-renders it through the
pure renderers. Agent runs execute on a worker *thread* (``DeerFlowClient.stream``
is a synchronous generator); each yielded action is marshalled back onto the UI
thread via ``call_from_thread`` and folded into the reducer.
"""
from __future__ import annotations
import uuid
from functools import partial
from textual.app import App, ComposeResult
from textual.binding import Binding
from textual.containers import Vertical, VerticalScroll
from textual.screen import ModalScreen
from textual.widgets import Input, Label, OptionList, Static
from textual.widgets.option_list import Option
from deerflow.runtime.goal import parse_goal_command
from .input_history import InputHistory
from .render import render_header, render_status, render_transcript
from .runtime import stream_actions
from .theme import SYMBOLS, THEME
from .view_state import (
ClearRows,
RunEnded,
RunStarted,
SystemMessage,
ThreadTitle,
UserSubmitted,
initial_state,
reduce,
)
from .widgets.composer import ComposerInput
_HELP_TEXT = "Commands: /new /threads /goal /model /skills /tools /mcp /memory /usage /config /quit\nKeys: Enter send · Ctrl+C interrupt or quit · Ctrl+L redraw · / commands · Esc close overlay"
class SelectScreen(ModalScreen):
"""A centered modal that returns the id of the chosen option (or None)."""
BINDINGS = [Binding("escape", "cancel", "Close")]
def __init__(self, title: str, options: list[tuple[str, str]]) -> None:
super().__init__()
self._title = title
self._options = options
def compose(self) -> ComposeResult:
with Vertical(id="dialog"):
yield Label(self._title, id="dialog-title")
yield OptionList(*[Option(label, id=oid) for oid, label in self._options], id="dialog-list")
def on_mount(self) -> None:
self.query_one(OptionList).focus()
def on_option_list_option_selected(self, event: OptionList.OptionSelected) -> None:
self.dismiss(event.option_id)
def action_cancel(self) -> None:
self.dismiss(None)
class DeerFlowTUI(App):
CSS = f"""
Screen {{
background: {THEME.bg};
color: {THEME.text};
}}
#header {{
height: 1;
padding: 0 1;
background: {THEME.panel};
}}
#scroll {{
height: 1fr;
padding: 1 2;
background: {THEME.bg};
scrollbar-size-vertical: 1;
}}
#transcript {{
width: 100%;
height: auto;
}}
#status {{
height: 1;
padding: 0 1;
background: {THEME.panel};
color: {THEME.muted};
}}
#palette {{
height: auto;
max-height: 10;
margin: 0 1;
padding: 0 1;
background: {THEME.panel};
border: round {THEME.border};
display: none;
}}
#palette.open {{
display: block;
}}
#composer {{
height: 3;
margin: 0 1 1 1;
border: round {THEME.border};
background: {THEME.panel};
}}
#composer:focus {{
border: round {THEME.primary};
}}
SelectScreen {{
align: center middle;
}}
SelectScreen #dialog {{
width: 72;
max-width: 90%;
height: auto;
max-height: 80%;
padding: 1 2;
background: {THEME.panel};
border: round {THEME.primary};
}}
SelectScreen #dialog-title {{
color: {THEME.primary};
text-style: bold;
padding: 0 0 1 0;
}}
SelectScreen OptionList {{
background: {THEME.panel};
border: none;
height: auto;
max-height: 20;
}}
SelectScreen OptionList > .option-list--option-highlighted {{
background: {THEME.primary};
color: {THEME.bg};
}}
"""
BINDINGS = [
Binding("ctrl+c", "interrupt", "Interrupt / Quit", priority=True, show=True),
Binding("ctrl+l", "redraw", "Redraw", show=False),
Binding("ctrl+u", "clear_composer", "Clear input", show=False),
# Up/Down drive the palette when it's open, otherwise input history.
# Tab/Enter/Esc only act when the palette is open. check_action gates all
# of these so they never steal keys from a modal overlay or the composer.
Binding("down", "nav_down", show=False, priority=True),
Binding("up", "nav_up", show=False, priority=True),
Binding("tab", "palette_complete", show=False, priority=True),
Binding("escape", "escape", show=False, priority=True),
Binding("enter", "palette_accept", show=False, priority=True),
]
def __init__(self, session, plan) -> None:
super().__init__()
self.session = session
self.plan = plan
self.state = initial_state()
self._conv_thread_id: str | None = None
self._model = ""
self._skill_names: list[str] = []
self._skills = 0
self._spinner_idx = 0
self._streaming = False
self._cancelled = False
self._skills_meta: list[dict] = []
self._model_override: str | None = None
self._palette_open = False
self._palette_items: list = []
self._palette_index = 0
self._history = InputHistory()
self._transcript_dirty = False
# ----- composition --------------------------------------------------- #
def compose(self) -> ComposeResult:
yield Static(id="header")
with VerticalScroll(id="scroll"):
yield Static(id="transcript")
yield Static(id="status")
yield Static(id="palette")
yield ComposerInput(placeholder="Message DeerFlow… ( / for commands )", id="composer")
def on_mount(self) -> None:
self._load_session_info()
self._refresh_all()
self.set_interval(0.1, self._tick_spinner)
self.set_interval(0.06, self._flush_transcript) # coalesce streaming re-renders
self.query_one("#composer", Input).focus()
if self.plan and getattr(self.plan, "message", None):
self._send_to_agent(self.plan.message)
# ----- session info -------------------------------------------------- #
def _load_session_info(self) -> None:
self._conv_thread_id = self.session.resolve_thread(self.plan) if self.plan else None
client = self.session.client
try:
models = client.list_models().get("models", [])
self._model = next((m.get("display_name") or m.get("name") for m in models if m.get("name")), "")
except Exception: # noqa: BLE001 - header is best-effort
self._model = ""
try:
skills = client.list_skills(enabled_only=True).get("skills", [])
self._skills_meta = [s for s in skills if s.get("name")]
self._skill_names = [s["name"] for s in self._skills_meta]
self._skills = len(self._skill_names)
except Exception: # noqa: BLE001
self._skills_meta = []
self._skill_names = []
self._skills = 0
# ----- input --------------------------------------------------------- #
def on_input_submitted(self, event: Input.Submitted) -> None:
text = event.value.strip()
event.input.value = ""
self._close_palette()
if not text:
return
self._history.add(text)
self._handle_submit(text)
def on_input_changed(self, event: Input.Changed) -> None:
value = event.value
if value.startswith("/") and " " not in value:
from .command_registry import build_registry, filter_commands
items = filter_commands(build_registry(self._skills_meta), value[1:])
# The candidate set changed, so the previous highlight index is stale —
# reset to the top rather than clamping to a now-different command.
self._palette_index = 0
self._open_palette(items)
else:
self._close_palette()
# ----- slash command palette ----------------------------------------- #
def check_action(self, action: str, parameters): # noqa: D401 - Textual hook
custom = {"nav_up", "nav_down", "palette_complete", "palette_accept", "escape"}
if action in custom:
# A modal overlay (e.g. the model/thread picker) is on top — never
# intercept its keys; let the overlay handle them natively.
if len(self.screen_stack) > 1:
return None
# nav (history), Tab and Esc are always consumed (Tab can't move focus
# off the composer; Esc closes the palette or interrupts a run). Enter
# falls through to the Input when the palette is closed so it submits.
if action in {"nav_up", "nav_down", "palette_complete", "escape"}:
return True
return True if self._palette_open else None
return True
def action_nav_up(self) -> None:
if self._palette_open:
self.action_palette_up()
else:
self._history_move(self._history.up(self.query_one("#composer", Input).value))
def action_nav_down(self) -> None:
if self._palette_open:
self.action_palette_down()
else:
self._history_move(self._history.down())
def _history_move(self, value: str) -> None:
composer = self.query_one("#composer", Input)
composer.value = value
composer.cursor_position = len(value)
def _open_palette(self, items: list) -> None:
if not items:
self._close_palette()
return
self._palette_items = items
self._palette_index = min(self._palette_index, len(items) - 1)
self._palette_open = True
palette = self.query_one("#palette", Static)
palette.add_class("open")
self._render_palette()
def _close_palette(self) -> None:
if not self._palette_open and not self._palette_items:
return
self._palette_open = False
self._palette_items = []
self._palette_index = 0
self.query_one("#palette", Static).remove_class("open")
def _render_palette(self) -> None:
from .render import render_palette
self.query_one("#palette", Static).update(render_palette(self._palette_items, self._palette_index))
def _current_palette_item(self):
if 0 <= self._palette_index < len(self._palette_items):
return self._palette_items[self._palette_index]
return None
def action_palette_down(self) -> None:
if self._palette_items:
self._palette_index = min(self._palette_index + 1, len(self._palette_items) - 1)
self._render_palette()
def action_palette_up(self) -> None:
if self._palette_items:
self._palette_index = max(self._palette_index - 1, 0)
self._render_palette()
def action_palette_complete(self) -> None:
# When the palette is open, Tab completes the highlighted command.
# When it's closed, Tab is a no-op here (consumed) so focus stays in the
# composer instead of moving to the scroll region.
if self._palette_open:
self._fill_from_palette()
def action_palette_accept(self) -> None:
item = self._current_palette_item()
if item is None:
return
if getattr(item, "category", "") == "skill":
# Skills need a task argument; fill and let the user keep typing.
self._fill_from_palette()
return
self._close_palette()
self.query_one("#composer", Input).value = ""
self._handle_submit(f"/{item.name}")
def _fill_from_palette(self) -> None:
item = self._current_palette_item()
if item is None:
return
composer = self.query_one("#composer", Input)
composer.value = f"/{item.name} "
composer.cursor_position = len(composer.value)
self._close_palette()
def _handle_submit(self, text: str) -> None:
from .command_registry import resolve
res = resolve(text, skills=self._skill_names)
if res.kind == "builtin":
self._handle_builtin(res.name, res.args)
return
if res.kind == "unknown":
self._dispatch(SystemMessage(f"Unknown command /{res.name}. Try /help.", tone="error"))
return
# plain message or skill activation (/skill task) both go to the agent,
# which applies skill-activation semantics on the raw text.
self._send_to_agent(text)
def _handle_builtin(self, name: str, args: str) -> None:
if name == "quit":
self.exit()
elif name == "help":
self._dispatch(SystemMessage(_HELP_TEXT))
elif name == "new":
self._conv_thread_id = None
self.state = initial_state()
self._dispatch(SystemMessage("Started a new thread."))
elif name == "clear":
self._dispatch(ClearRows())
elif name == "model":
self._open_model_picker()
elif name in {"threads", "switch"}:
self._open_thread_switcher()
elif name == "resume":
self._resume_thread(args)
elif name == "goal":
self._handle_goal(args)
elif name == "skills":
self._show_skills()
elif name == "mcp":
self._show_mcp()
elif name == "memory":
self._show_memory()
elif name == "usage":
self._show_usage()
elif name == "config":
self._show_config()
elif name == "tools":
self._dispatch(SystemMessage("Tools are listed in the agent's runtime; use /mcp for MCP servers."))
elif name == "uploads":
self._show_uploads()
elif name == "artifacts":
self._dispatch(SystemMessage("Artifacts appear inline as the agent writes them.", tone="info"))
elif name == "details":
self._dispatch(SystemMessage("Verbose activity is always shown in this build.", tone="info"))
else:
self._dispatch(SystemMessage(f"/{name} is not available yet.", tone="info"))
# ----- overlays + info commands -------------------------------------- #
def _open_model_picker(self) -> None:
try:
models = self.session.client.list_models().get("models", [])
except Exception: # noqa: BLE001
models = []
options = [(m["name"], (m.get("display_name") or m["name"])) for m in models if m.get("name")]
if not options:
self._dispatch(SystemMessage("No models configured.", tone="error"))
return
def on_choice(choice: str | None) -> None:
if choice:
self._model_override = choice
self._model = choice
self._dispatch(SystemMessage(f"Model set to {choice}."))
self._refresh_header()
self.push_screen(SelectScreen("Select model", options), on_choice)
def _open_thread_switcher(self) -> None:
try:
threads = self.session.recent_threads(limit=20)
except Exception: # noqa: BLE001
threads = []
options: list[tuple[str, str]] = []
for thread in threads:
tid = thread.get("thread_id")
if not tid:
continue
title = thread.get("title") or "untitled"
options.append((tid, f"{title} · {tid[:8]}"))
if not options:
self._dispatch(SystemMessage("No saved threads yet."))
return
def on_choice(choice: str | None) -> None:
if choice:
self._switch_to_thread(choice)
self.push_screen(SelectScreen("Resume thread", options), on_choice)
def _resume_thread(self, ref: str) -> None:
"""/resume [id-or-title]: switch to a thread, or open the picker if blank."""
ref = ref.strip()
if not ref:
self._open_thread_switcher()
return
self._switch_to_thread(self.session.resolve_ref(ref))
def _switch_to_thread(self, thread_id: str) -> None:
self._conv_thread_id = thread_id
self.state = initial_state()
self._dispatch(SystemMessage(f"Resumed thread {thread_id[:8]}."))
self._refresh_header()
def _handle_goal(self, args: str) -> None:
command = parse_goal_command(args)
if command.kind == "status":
if not self._conv_thread_id:
self._dispatch(SystemMessage("No active goal."))
return
try:
goal = self.session.client.get_goal(self._conv_thread_id).get("goal")
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not read goal.", tone="error"))
return
if not goal:
self._dispatch(SystemMessage("No active goal."))
return
self._dispatch(SystemMessage(f"Goal: {goal.get('objective')}"))
return
if command.kind == "clear":
if self._conv_thread_id:
try:
self.session.client.clear_goal(self._conv_thread_id)
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not clear goal.", tone="error"))
return
self._dispatch(SystemMessage("Goal cleared."))
return
if self._conv_thread_id is None:
self._conv_thread_id = str(uuid.uuid4())
self._refresh_header()
try:
goal = self.session.client.set_goal(self._conv_thread_id, command.objective).get("goal")
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not set goal.", tone="error"))
return
self._dispatch(SystemMessage(f"Goal set: {goal.get('objective') if goal else command.objective}"))
def _show_skills(self) -> None:
names = ", ".join(self._skill_names) or "none"
self._dispatch(SystemMessage(f"Enabled skills ({self._skills}): {names}"))
def _show_mcp(self) -> None:
try:
servers = self.session.client.get_mcp_config().get("mcp_servers", {})
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not read MCP config.", tone="error"))
return
if not servers:
self._dispatch(SystemMessage("No MCP servers configured."))
return
lines = [f"{name}: {'on' if cfg.get('enabled') else 'off'}" for name, cfg in servers.items()]
self._dispatch(SystemMessage("MCP servers — " + " · ".join(lines)))
def _show_memory(self) -> None:
try:
data = self.session.client.get_memory()
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not read memory.", tone="error"))
return
facts = data.get("facts", []) if isinstance(data, dict) else []
top = (data.get("topOfMind") if isinstance(data, dict) else "") or ""
self._dispatch(SystemMessage(f"Memory: {len(facts)} facts · top of mind: {top}"))
def _show_usage(self) -> None:
usage = self.state.usage or {}
if not usage:
self._dispatch(SystemMessage("No token usage recorded yet."))
return
parts = ", ".join(f"{k}={v}" for k, v in usage.items())
self._dispatch(SystemMessage(f"Token usage — {parts}"))
def _show_config(self) -> None:
import os
self._dispatch(SystemMessage(f"cwd: {os.getcwd()} model: {self._model or 'default'}"))
def _show_uploads(self) -> None:
if not self._conv_thread_id:
self._dispatch(SystemMessage("Start a thread before listing uploads."))
return
try:
uploads = self.session.client.list_uploads(self._conv_thread_id).get("files", [])
except Exception: # noqa: BLE001
self._dispatch(SystemMessage("Could not list uploads.", tone="error"))
return
if not uploads:
self._dispatch(SystemMessage("No uploads in this thread."))
return
names = ", ".join(f.get("filename", "?") for f in uploads)
self._dispatch(SystemMessage(f"Uploads ({len(uploads)}): {names}"))
# ----- agent run ----------------------------------------------------- #
def _send_to_agent(self, text: str) -> None:
if self._streaming:
self._dispatch(SystemMessage("Still working — wait for the current run to finish.", tone="info"))
return
if self._conv_thread_id is None:
self._conv_thread_id = str(uuid.uuid4())
self._cancelled = False
self._dispatch(UserSubmitted(text))
self.run_worker(
partial(self._stream_worker, text, self._conv_thread_id),
thread=True,
exclusive=True,
group="agent",
)
def _stream_worker(self, text: str, thread_id: str) -> None:
kwargs: dict = {}
if self._model_override:
kwargs["model_name"] = self._model_override
writer = getattr(self.session, "writer", None)
if writer is not None:
# Make this terminal session visible in the Web UI sidebar by writing a
# threads_meta row under the local default user (best-effort, no-op on
# memory backends). Done on this worker thread to keep the UI responsive.
writer.ensure_created(thread_id, assistant_id="lead-agent", metadata={"source": "tui"})
latest_title: str | None = None
for action in stream_actions(self.session.client, text, thread_id=thread_id, **kwargs):
if self._cancelled:
break
if isinstance(action, ThreadTitle):
latest_title = action.title
self.call_from_thread(self._on_action, action)
# Only persist a title for a run that completed normally — an interrupted
# run may only have emitted the title middleware's first, truncated guess.
if writer is not None and latest_title and not self._cancelled:
writer.set_title(thread_id, latest_title)
def _on_action(self, action) -> None:
self.state = reduce(self.state, action)
if isinstance(action, RunStarted):
self._streaming = True
self._transcript_dirty = True
elif isinstance(action, RunEnded):
self._streaming = False
# Flush now so the finished message snaps to its Markdown rendering.
self._transcript_dirty = False
self._refresh_transcript()
else:
# Coalesce rapid streaming deltas; _flush_transcript renders them.
self._transcript_dirty = True
self._refresh_status()
def _flush_transcript(self) -> None:
if self._transcript_dirty:
self._transcript_dirty = False
self._refresh_transcript()
# ----- key actions --------------------------------------------------- #
def action_interrupt(self) -> None:
if self._streaming:
self._interrupt_run()
else:
self.exit()
def action_escape(self) -> None:
if self._palette_open:
self._close_palette()
elif self._streaming:
self._interrupt_run()
def _interrupt_run(self) -> None:
self._cancelled = True
self.workers.cancel_group(self, "agent")
self._streaming = False
self.state = reduce(self.state, RunEnded())
self._dispatch(SystemMessage("Interrupted.", tone="info"))
def action_redraw(self) -> None:
self.refresh(layout=True)
self._refresh_all()
def action_clear_composer(self) -> None:
self.query_one("#composer", Input).value = ""
# ----- rendering ----------------------------------------------------- #
def _dispatch(self, action) -> None:
self.state = reduce(self.state, action)
self._refresh_transcript()
self._refresh_status()
def _tick_spinner(self) -> None:
if self._streaming:
self._spinner_idx = (self._spinner_idx + 1) % len(SYMBOLS["spinner"])
self._refresh_status()
def _thread_label(self) -> str:
if not self._conv_thread_id:
return "new thread"
return f"thread {self._conv_thread_id[:8]}"
def _refresh_all(self) -> None:
self._refresh_header()
self._refresh_transcript()
self._refresh_status()
def _refresh_header(self) -> None:
import os
self.query_one("#header", Static).update(
render_header(
model=self._model,
thread_label=self._thread_label(),
cwd=os.getcwd(),
skills=self._skills,
)
)
def _refresh_transcript(self) -> None:
self.query_one("#transcript", Static).update(render_transcript(self.state))
self.query_one("#scroll", VerticalScroll).scroll_end(animate=False)
def _refresh_status(self) -> None:
spinner = SYMBOLS["spinner"][self._spinner_idx] if self._streaming else ""
self.query_one("#status", Static).update(render_status(self.state, model=self._model, thread_label=self._thread_label(), spinner=spinner))
def run_tui(plan) -> int:
"""Construct the embedded session and run the app. Returns a process exit code."""
from .session import open_session
session = open_session()
app = DeerFlowTUI(session, plan)
try:
app.run()
finally:
# Stop the background DB loop + dispose the engine so repeated run_tui
# calls in one process don't leak loops / connection pools.
session.close()
return 0