alvis
f6b89fc849
The agent no longer picks a winner — it summarises every cluster so the
orchestrator can decide what's relevant. Scoring by overdue count overlapped
with the overdue-task agent. preferred_areas (project-ID based, broken label
matching) removed entirely.
Output format: numbered list of areas with task titles included.
Snapshot: {cluster_count, clusters: [{label, task_count, tasks}]}.
Version bumped to 3.0.0; inferred_params cleared.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
from __future__ import annotations
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from typing import ClassVar
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from .base import BaseAgent, AgentInput, AgentOutput
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from .clustering import cluster_tasks
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from .manifest import AgentManifest
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MANIFEST = AgentManifest(
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id="focus-area",
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version="3.0.0", # output all clusters as context; no scoring (#129)
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description="Clusters the user's task list and summarises all areas for the orchestrator.",
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pref_schema={"type": "object", "additionalProperties": False, "properties": {}},
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context_schema=["todoist.tasks"],
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required_consents=["data:core", "data:todoist"],
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output_contract={"type": "snippet", "format": "free_text"},
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ttl_sec=86_400,
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inferred_params=[],
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)
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class FocusAreaAgent(BaseAgent):
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"""Clusters tasks and outputs a full area summary for the orchestrator."""
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agent_id: ClassVar[str] = MANIFEST.id
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ttl_seconds: ClassVar[int] = MANIFEST.ttl_sec
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version: ClassVar[str] = MANIFEST.version # 3.0.0
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def compute(self, inp: AgentInput) -> AgentOutput:
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if not inp.tasks:
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return self._make_output(
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inp,
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"No tasks available to identify focus areas.",
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{"cluster_count": 0},
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)
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clusters, new_enrichments = cluster_tasks(inp.tasks, enrichment_cache=inp.enrichment_cache)
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if not clusters:
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return self._make_output(
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inp,
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"No tasks available to identify focus areas.",
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{"cluster_count": 0},
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)
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lines = [f"The user's tasks are grouped into {len(clusters)} area(s):"]
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for i, cluster in enumerate(clusters, 1):
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titles = [t.get("content", "").strip() for t in cluster.tasks if t.get("content")]
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titles_str = "; ".join(f'"{t}"' for t in titles[:8])
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if len(titles) > 8:
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titles_str += f" (and {len(titles) - 8} more)"
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lines.append(f"{i}. {cluster.label} — {cluster.task_count} task(s): {titles_str}")
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lines.append("(Task titles may be in any language — always write the tip in English.)")
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snapshot = {
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"cluster_count": len(clusters),
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"clusters": [
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{"label": c.label, "task_count": c.task_count,
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"tasks": [t.get("content", "") for t in c.tasks]}
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for c in clusters
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],
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"_new_enrichments": new_enrichments,
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}
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return self._make_output(inp, "\n".join(lines), snapshot)
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