feat: surface task execution progress across Host Agent and Cloud
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>
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from __future__ import annotations
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import logging
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from datetime import UTC, datetime, timedelta
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from host_agent.config import HostAgentConfig
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from storage.task_metadata import TaskMetadataStore
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from storage.timeline import Timeline
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logger = logging.getLogger(__name__)
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def prune_task_history(
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metadata_store: TaskMetadataStore,
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timeline: Timeline,
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*,
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config: HostAgentConfig,
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now: datetime | None = None,
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) -> int:
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"""Delete tasks beyond the configured retention window/count.
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Computes two candidate retained sets -- the last ``max_count`` tasks
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and tasks younger than ``max_age_days`` -- and keeps whichever set
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is smaller (i.e. the more restrictive bound always wins).
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Returns the number of tasks pruned.
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"""
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reference = now or datetime.now(UTC)
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tasks = metadata_store.list_tasks()
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keep_by_count = {task["id"] for task in tasks[: config.task_retention_max_count]}
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cutoff = reference - timedelta(days=config.task_retention_max_age_days)
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keep_by_age = {
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task["id"] for task in tasks if _parse_timestamp(task["created_at"]) >= cutoff
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}
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keep_ids = keep_by_count if len(keep_by_count) <= len(keep_by_age) else keep_by_age
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pruned = 0
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for task in tasks:
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if task["id"] not in keep_ids:
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_safe_delete(timeline, metadata_store, task["id"])
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pruned += 1
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return pruned
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def _safe_delete(
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timeline: Timeline, metadata_store: TaskMetadataStore, task_id: str
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) -> None:
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try:
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timeline.delete_task(task_id)
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except Exception:
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logger.debug("timeline delete failed for task %s", task_id, exc_info=True)
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try:
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metadata_store.delete_task(task_id)
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except Exception:
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logger.debug("metadata delete failed for task %s", task_id, exc_info=True)
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def _parse_timestamp(value: str) -> datetime:
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parsed = datetime.fromisoformat(value)
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if parsed.tzinfo is None:
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parsed = parsed.replace(tzinfo=UTC)
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return parsed
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