Files
api/app/core/output_formatter.py
roberto cfc9d7a942 refactor: replace orchestrator with LangGraph deep-agent supervisors
- Add app/core/deep_agent.py with Home and Floating supervisor graphs
  using LangGraph create_react_agent (hierarchical pattern)
- Strip ChatAgent classes from all 4 agent files, keep @tool functions
- Rewrite output_formatter.py for event-based (token/tool_end/mutations) stream
- Update device_ws.py to use run_home_stream/run_floating_stream
- Rewrite chat.py REST route to use run_home
- Add update_core_memory tool to both supervisors
- Add langgraph>=0.3.0 to requirements.txt
- Remove orchestrator.py, execution_plan.py, agent_registry.py, plans.py
- Remove PlanAction, PlanStep, ExecutionPlan, execution_mode from schemas
- Update all affected tests to match new API
- Remove 6 deprecated test files for deleted modules
- Clean up stale docstrings referencing removed orchestrator
2026-03-11 17:50:22 +01:00

152 lines
5.3 KiB
Python

"""Output Formatter — transforms deep-agent event streams into WS frame sequences.
Consumes ``(event_type, data)`` tuples yielded by ``deep_agent.run_*_stream()``:
* ``("token", str)`` — supervisor text token
* ``("tool_end", dict)`` — sub-agent finished: ``{name, result}``
* ``("mutations", list)`` — collected CRUD mutations for ``stream_end``
HomeFormatter:
* Sniffs ``tool_end`` events → emits ``WsStreamBlock`` (entity_ref with raw data)
* Streams text tokens → emits ``WsStreamText``
* Attaches mutations → injects into ``WsStreamEnd``
FloatingFormatter:
* Sniffs first ``tool_end`` name → emits ``WsFloatingDomain``
* Streams text tokens → emits ``WsStreamText``
* Attaches mutations → injects into ``WsStreamEnd``
"""
from __future__ import annotations
import logging
from collections.abc import AsyncGenerator
from typing import Any
from app.schemas import (
WsFloatingDomain,
WsStreamBlock,
WsStreamEnd,
WsStreamStart,
WsStreamText,
)
logger = logging.getLogger(__name__)
# Map sub-agent tool name → floating domain / entity type
_AGENT_DOMAIN: dict[str, str] = {
"task_agent": "tasks",
"timeline_agent": "timelines",
"note_agent": "notes",
"project_agent": "projects",
}
WsFrame = WsStreamStart | WsStreamText | WsStreamBlock | WsStreamEnd | WsFloatingDomain
class HomeFormatter:
"""Consumes a deep-agent event stream and yields WS frames for the Home view.
``tool_end`` events from sub-agents are emitted as ``WsStreamBlock``
(entity_ref) so the client can render structured data. Text tokens are
forwarded as ``WsStreamText``. Mutations are attached to ``WsStreamEnd``.
"""
def __init__(self, request_id: str) -> None:
self.request_id = request_id
self._mutations: list[dict] = []
async def format(
self,
event_stream: AsyncGenerator[tuple[str, Any], None],
) -> AsyncGenerator[WsFrame, None]:
yield WsStreamStart(request_id=self.request_id)
async for event_type, data in event_stream:
if event_type == "token":
if data:
yield WsStreamText(request_id=self.request_id, chunk=data)
elif event_type == "tool_end":
# Sub-agent finished — emit its result as an entity_ref block
name = data.get("name", "")
entity = _AGENT_DOMAIN.get(name)
if entity:
yield WsStreamBlock(
request_id=self.request_id,
block_type="entity_ref",
data={"entity": entity, "result": data.get("result", "")},
)
elif event_type == "mutations":
self._mutations = data or []
yield WsStreamEnd(
request_id=self.request_id,
mutations=[
{"action": m["action"], "table": m["table"], "data": m["data"]}
for m in self._mutations
],
)
class FloatingFormatter:
"""Consumes a deep-agent event stream and yields WS frames for the Floating view.
Sniffs the first ``tool_end`` event name to derive the domain (e.g.
``task_agent`` → ``"tasks"``), then streams text tokens as plain
``WsStreamText``. No block parsing for floating context.
"""
def __init__(self, request_id: str) -> None:
self.request_id = request_id
self._mutations: list[dict] = []
async def format(
self,
event_stream: AsyncGenerator[tuple[str, Any], None],
) -> AsyncGenerator[WsFrame, None]:
domain_sent = False
async for event_type, data in event_stream:
if event_type == "tool_end" and not domain_sent:
# Sniff domain from the first sub-agent that completes
name = data.get("name", "")
domain = _AGENT_DOMAIN.get(name, "tasks")
yield WsFloatingDomain(
request_id=self.request_id,
domain=domain, # type: ignore[arg-type]
)
yield WsStreamStart(request_id=self.request_id)
domain_sent = True
elif event_type == "token":
if not domain_sent:
# First token arrived before any tool_end — default domain
yield WsFloatingDomain(
request_id=self.request_id,
domain="tasks", # type: ignore[arg-type]
)
yield WsStreamStart(request_id=self.request_id)
domain_sent = True
if data:
yield WsStreamText(request_id=self.request_id, chunk=data)
elif event_type == "mutations":
self._mutations = data or []
# If no events triggered domain_sent (edge case), still emit structure
if not domain_sent:
yield WsFloatingDomain(
request_id=self.request_id,
domain="tasks", # type: ignore[arg-type]
)
yield WsStreamStart(request_id=self.request_id)
yield WsStreamEnd(
request_id=self.request_id,
mutations=[
{"action": m["action"], "table": m["table"], "data": m["data"]}
for m in self._mutations
],
)