Host Agent now persists step-level execution detail locally (via a real TaskMetadataStore/Timeline wired into TaskRunner) and reports a bounded in-progress snapshot piggybacked on lease renewal. Cloud persists that snapshot per active assignment and exposes it through the existing task list/detail query path; Cloud Console renders it as a live badge. Host Agent's local console gains authenticated, read-only task list and detail/timeline pages (same-origin, server-rendered) with inlined screenshots. Also fixes a pre-existing gap in the shared Timeline: the actual per-step LLM prompt is now recorded instead of the task goal, benefiting both Runtime and Host Agent consoles. When a host uses the cloud planner transport, each decide call's prompt and resulting tool decision are durably logged in a new planner_decision_log table (with bounded retention) and browsable from Cloud Console; direct-transport hosts explicitly surface a "not reported" state. Includes Alembic migrations 0008 (progress columns on scheduled_tasks) and 0009 (planner_decision_log), bounded Host-Agent-local retention, dual-backend repository parity, and Vitest + pytest coverage. Task 6.5 (manual end-to-end device verification) remains. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
112 lines
3.7 KiB
Python
112 lines
3.7 KiB
Python
from __future__ import annotations
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import sqlite3
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from pathlib import Path
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from typing import Any
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from core.models import Task, TaskStatus, utc_now
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class TaskMetadataStore:
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def __init__(self, db_path: str | Path = "tasks/tasks.sqlite3") -> None:
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self.db_path = Path(db_path)
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self.db_path.parent.mkdir(parents=True, exist_ok=True)
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self._ensure_schema()
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def create_task(self, task: Task) -> None:
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with self._connect() as connection:
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connection.execute(
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"""
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insert into tasks (
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id, goal, device_id, status, created_at, updated_at,
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completed_at, failure_reason
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) values (?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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task.id,
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task.goal,
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task.device_id,
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task.status,
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task.created_at.isoformat(),
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task.updated_at.isoformat(),
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task.completed_at.isoformat() if task.completed_at else None,
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task.failure_reason,
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),
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)
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def update_task(
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self,
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task_id: str,
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*,
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status: TaskStatus | None = None,
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failure_reason: str | None = None,
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completed: bool = False,
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) -> None:
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updates: dict[str, Any] = {"updated_at": utc_now().isoformat()}
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if status:
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updates["status"] = status
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if failure_reason is not None:
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updates["failure_reason"] = failure_reason
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if completed:
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updates["completed_at"] = utc_now().isoformat()
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assignments = ", ".join(f"{key} = ?" for key in updates)
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values = [*updates.values(), task_id]
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with self._connect() as connection:
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connection.execute(
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f"update tasks set {assignments} where id = ?",
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values,
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)
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def get_task(self, task_id: str) -> dict[str, Any] | None:
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with self._connect() as connection:
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row = connection.execute(
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"select * from tasks where id = ?",
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(task_id,),
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).fetchone()
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return dict(row) if row else None
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def list_tasks(self) -> list[dict[str, Any]]:
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with self._connect() as connection:
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rows = connection.execute(
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"select * from tasks order by created_at desc"
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).fetchall()
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return [dict(row) for row in rows]
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def list_task_ids(self) -> list[str]:
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with self._connect() as connection:
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rows = connection.execute(
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"select id from tasks order by created_at desc"
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).fetchall()
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return [row["id"] for row in rows]
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def delete_task(self, task_id: str) -> None:
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"""Delete a task row. No-op if the task does not exist."""
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with self._connect() as connection:
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connection.execute(
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"delete from tasks where id = ?",
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(task_id,),
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)
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def _ensure_schema(self) -> None:
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with self._connect() as connection:
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connection.execute(
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"""
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create table if not exists tasks (
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id text primary key,
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goal text not null,
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device_id text not null,
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status text not null,
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created_at text not null,
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updated_at text not null,
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completed_at text,
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failure_reason text
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)
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"""
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)
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def _connect(self) -> sqlite3.Connection:
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connection = sqlite3.connect(self.db_path)
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connection.row_factory = sqlite3.Row
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return connection
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