feat: add thin Evennia to Nexus event adapter
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@@ -14,7 +14,11 @@ from nexus.perception_adapter import (
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)
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from nexus.experience_store import ExperienceStore
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from nexus.trajectory_logger import TrajectoryLogger
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from nexus.nexus_think import NexusMind
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try:
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from nexus.nexus_think import NexusMind
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except Exception:
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NexusMind = None
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__all__ = [
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"ws_to_perception",
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66
nexus/evennia_event_adapter.py
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66
nexus/evennia_event_adapter.py
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@@ -0,0 +1,66 @@
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"""Thin Evennia -> Nexus event normalization helpers."""
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from __future__ import annotations
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from datetime import datetime, timezone
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def _ts(value: str | None = None) -> str:
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return value or datetime.now(timezone.utc).isoformat()
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def session_bound(hermes_session_id: str, evennia_account: str = "Timmy", evennia_character: str = "Timmy", timestamp: str | None = None) -> dict:
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return {
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"type": "evennia.session_bound",
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"hermes_session_id": hermes_session_id,
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"evennia_account": evennia_account,
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"evennia_character": evennia_character,
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"timestamp": _ts(timestamp),
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}
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def actor_located(actor_id: str, room_key: str, room_name: str | None = None, timestamp: str | None = None) -> dict:
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return {
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"type": "evennia.actor_located",
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"actor_id": actor_id,
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"room_id": room_key,
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"room_key": room_key,
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"room_name": room_name or room_key,
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"timestamp": _ts(timestamp),
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}
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def room_snapshot(room_key: str, title: str, desc: str, exits: list[dict] | None = None, objects: list[dict] | None = None, occupants: list[dict] | None = None, timestamp: str | None = None) -> dict:
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return {
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"type": "evennia.room_snapshot",
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"room_id": room_key,
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"room_key": room_key,
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"title": title,
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"desc": desc,
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"exits": exits or [],
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"objects": objects or [],
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"occupants": occupants or [],
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"timestamp": _ts(timestamp),
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}
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def command_issued(hermes_session_id: str, actor_id: str, command_text: str, timestamp: str | None = None) -> dict:
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return {
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"type": "evennia.command_issued",
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"hermes_session_id": hermes_session_id,
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"actor_id": actor_id,
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"command_text": command_text,
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"timestamp": _ts(timestamp),
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}
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def command_result(hermes_session_id: str, actor_id: str, command_text: str, output_text: str, success: bool = True, timestamp: str | None = None) -> dict:
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return {
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"type": "evennia.command_result",
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"hermes_session_id": hermes_session_id,
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"actor_id": actor_id,
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"command_text": command_text,
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"output_text": output_text,
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"success": success,
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"timestamp": _ts(timestamp),
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}
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@@ -199,6 +199,56 @@ def perceive_action_result(data: dict) -> Optional[Perception]:
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)
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def perceive_evennia_actor_located(data: dict) -> Optional[Perception]:
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actor = data.get("actor_id", "Timmy")
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room = data.get("room_name") or data.get("room_key") or data.get("room_id")
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if not room:
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return None
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return Perception(
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timestamp=time.time(),
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raw_type="evennia.actor_located",
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description=f"{actor} is now in {room}.",
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salience=0.7,
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)
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def perceive_evennia_room_snapshot(data: dict) -> Optional[Perception]:
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title = data.get("title") or data.get("room_key") or data.get("room_id")
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desc = data.get("desc", "")
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exits = ", ".join(exit.get("key", "") for exit in data.get("exits", []) if exit.get("key"))
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objects = ", ".join(obj.get("key", "") for obj in data.get("objects", []) if obj.get("key"))
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if not title:
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return None
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parts = [f"You are in {title}."]
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if desc:
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parts.append(desc)
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if exits:
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parts.append(f"Exits: {exits}.")
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if objects:
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parts.append(f"You see: {objects}.")
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return Perception(
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timestamp=time.time(),
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raw_type="evennia.room_snapshot",
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description=" ".join(parts),
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salience=0.85,
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)
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def perceive_evennia_command_result(data: dict) -> Optional[Perception]:
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success = data.get("success", True)
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command = data.get("command_text", "your command")
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output = data.get("output_text", "")
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desc = f"Your world command {'succeeded' if success else 'failed'}: {command}."
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if output:
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desc += f" {output[:240]}"
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return Perception(
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timestamp=time.time(),
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raw_type="evennia.command_result",
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description=desc,
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salience=0.8,
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)
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# Registry of WS type → perception function
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PERCEPTION_MAP = {
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"agent_state": perceive_agent_state,
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@@ -212,6 +262,9 @@ PERCEPTION_MAP = {
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"action_result": perceive_action_result,
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"heartbeat": lambda _: None, # Ignore
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"dual_brain": lambda _: None, # Internal — not part of sensorium
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"evennia.actor_located": perceive_evennia_actor_located,
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"evennia.room_snapshot": perceive_evennia_room_snapshot,
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"evennia.command_result": perceive_evennia_command_result,
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}
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