Files
hermes-agent/agent/pet/state.py
T
Teknium 2ad284b473 refactor(agent/runtime): pet — shared flood/placement helpers in atlas, provider resolution loop, dead helpers removed
- atlas: _border_flood/_unvisited_components/_place/_clear_region/_remove_masked
  replace 6 hand-rolled flood + canvas-composite loops; _sever_expected_gutters
  uses channel ops instead of per-pixel writes; dead _color_distance,
  _has_slot_padding, _slot_bounds, atlas_to_webp_bytes, FRAME_COUNTS (0 refs).
- render/store: dead _open_sheet/_png_bytes/_union_alpha_bbox/_thumbs_dir removed.
- imagegen: _available() unifies 3 provider-availability checks; forced/preferred
  provider resolution collapsed into one ordered loop (same precedence).
- state: derive_pet_state as a ranked table (same priority order).
- Comment/docstring compaction keeping the pipeline invariants.
2026-09-02 13:29:47 -07:00

77 lines
2.8 KiB
Python

"""Map agent activity → a :class:`PetState`.
This is the one place the "what is the agent doing right now?" → "which
animation row?" decision lives. Each surface feeds it the signals it already
tracks:
- CLI — ``KawaiiSpinner`` waiting/thinking state + tool outcomes.
- TUI — gateway ``tool.start/complete`` + ``message.delta/complete`` events.
- Desktop — the ``$busy``/``$awaitingResponse``/tool-event nanostores
(re-implemented in TS, but mirroring this priority order).
Keeping the priority order here (and documenting it) lets the TypeScript
mirror stay faithful without a second design.
"""
from __future__ import annotations
from collections.abc import Iterable
from typing import Any
from agent.pet.constants import PetState
def todos_all_done(todos: Iterable[Any] | None) -> bool:
"""True iff there's ≥1 todo and every one is completed/cancelled.
The "celebrate" beat (``JUMP``) fires when a plan finishes; this mirrors
the TUI's ``isTodoDone`` so the trigger is defined once across surfaces.
Accepts dicts (``{"status": ...}``) or objects with a ``status`` attr.
"""
items = list(todos or [])
if not items:
return False
def _status(t: Any) -> Any:
return t.get("status") if isinstance(t, dict) else getattr(t, "status", None)
return all(_status(t) in ("completed", "cancelled") for t in items)
def derive_pet_state(
*,
busy: bool = False,
awaiting_input: bool = False,
error: bool = False,
celebrate: bool = False,
just_completed: bool = False,
tool_running: bool = False,
reasoning: bool = False,
) -> PetState:
"""Resolve the animation state from coarse activity signals.
Priority (highest first) — only one row can show at a time, so the most
salient signal wins:
1. ``error`` → ``FAILED`` (a tool/turn just failed)
2. ``celebrate`` → ``JUMP`` (explicit success beat, e.g. todos done)
3. ``just_completed`` → ``WAVE`` (turn finished cleanly / greeting)
4. ``awaiting_input`` → ``WAITING`` (blocked on the user — a clarify/approval
prompt is open; this outranks the in-flight signals below because the turn
is paused on *you*, even though a tool is technically mid-call)
5. ``tool_running`` → ``RUN`` (a tool is executing)
6. ``reasoning`` → ``REVIEW`` (model is thinking / reading)
7. ``busy`` → ``RUN`` (turn in flight, unspecified work)
8. otherwise → ``IDLE``
"""
ranked = (
(error, PetState.FAILED),
(celebrate, PetState.JUMP),
(just_completed, PetState.WAVE),
(awaiting_input, PetState.WAITING),
(tool_running, PetState.RUN),
(reasoning, PetState.REVIEW),
(busy, PetState.RUN),
)
return next((state for flag, state in ranked if flag), PetState.IDLE)