roberto
cfc9d7a942
- 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
93 lines
2.6 KiB
Python
93 lines
2.6 KiB
Python
"""Timeline agent — tool definitions for project milestone CRUD."""
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from __future__ import annotations
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from typing import Any
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from langchain_core.tools import tool
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from app.core.ws_context import execute_on_client
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@tool
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async def list_timelines(project_id: str = "") -> str:
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"""List timelines. Provide project_id to scope to a specific project."""
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result = await execute_on_client(
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action="select",
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table="timelines",
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filters={"projectId": project_id or None},
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)
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rows = result.get("rows", [])
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if not rows:
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return "No timelines found."
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lines = [f"- {r['title']} (date: {r['date']}, id: {r['id']})" for r in rows]
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return f"Found {len(rows)} timeline(s):\n" + "\n".join(lines)
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@tool
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async def create_timeline(
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project_id: str,
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title: str,
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date: int,
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is_ai_suggested: int = 0,
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is_approved: int = 0,
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) -> str:
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"""Create a project timeline (milestone).
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project_id: REQUIRED UUID of the parent project
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title: descriptive name for the milestone
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date: Unix timestamp in milliseconds
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is_ai_suggested: 1 if proactively suggested, 0 if user-requested
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is_approved: 0 until the user confirms
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"""
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result = await execute_on_client(
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action="insert",
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table="timelines",
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data={
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"projectId": project_id,
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"title": title,
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"date": date,
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"isAiSuggested": is_ai_suggested,
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"isApproved": is_approved,
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},
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)
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row = result["row"]
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return f"Timeline created: '{row['title']}' (id: {row['id']}, date: {row['date']})"
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@tool
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async def update_timeline(
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timeline_id: str,
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title: str = "",
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date: int = -1,
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is_approved: int = -1,
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) -> str:
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"""Update a timeline. Only pass fields that should change.
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timeline_id: UUID of the timeline (required)
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date: -1 means unchanged; any other value sets the new date (ms timestamp)
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is_approved: -1 means unchanged; 0 or 1 sets the approval state
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"""
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updates: dict[str, Any] = {}
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if title:
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updates["title"] = title
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if date != -1:
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updates["date"] = date
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if is_approved != -1:
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updates["isApproved"] = is_approved
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result = await execute_on_client(
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action="update",
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table="timelines",
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data={"id": timeline_id, "updates": updates},
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)
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row = result["row"]
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return f"Timeline updated: '{row['title']}' (id: {row['id']})"
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@tool
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async def delete_timeline(timeline_id: str) -> str:
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"""Delete a timeline permanently by its UUID."""
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await execute_on_client(action="delete", table="timelines", data={"id": timeline_id})
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return f"Timeline {timeline_id} deleted."
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