Adds ml/agents/ — five specialised sub-agents (overdue_task, momentum, time_of_day, recent_patterns, focus_area) each producing a prompt snippet from user signals. A registry wires them up; the orchestrator prompt in ml/serving/prompts.py synthesises their outputs into one tip via LiteLLM. Also wires /api/agents route in the API and updates the Dockerfile to copy the full ml/ tree with PYTHONPATH=/app so agent imports resolve correctly. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
51 lines
1.9 KiB
Python
51 lines
1.9 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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_DOW_NAMES = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
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class TimeOfDayAgent(BaseAgent):
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"""Frames the current moment relative to the user's productive peak."""
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agent_id: ClassVar[str] = "time-of-day"
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ttl_seconds: ClassVar[int] = 900 # 15m — must stay current-hour accurate
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version: ClassVar[str] = "1.0.0"
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def compute(self, inp: AgentInput) -> AgentOutput:
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hour = inp.now.hour
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dow = inp.now.weekday() # 0=Monday … 6=Sunday
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preferred = inp.profile.get("preferred_hour")
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is_weekend = dow >= 5
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parts = [f"It is {hour:02d}:00 on {_DOW_NAMES[dow]} ({self._label(hour)})."]
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if is_weekend:
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parts.append("Weekend context — prefer personal or reflective tips over work tasks.")
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if preferred is not None:
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ph = int(preferred)
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delta = min(abs(hour - ph), 24 - abs(hour - ph)) # circular distance
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if delta == 0:
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parts.append(
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f"This is the user's peak productivity hour ({ph:02d}:00) — "
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f"a high-impact tip is appropriate."
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)
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elif delta <= 2:
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parts.append(f"Approaching the user's peak productivity window ({ph:02d}:00).")
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else:
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parts.append("No preferred-hour data yet.")
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prompt = " ".join(parts)
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snapshot = {"hour": hour, "day_of_week": dow, "preferred_hour": preferred}
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return self._make_output(inp, prompt, snapshot)
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@staticmethod
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def _label(hour: int) -> str:
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if 5 <= hour < 12:
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return "morning"
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if 12 <= hour < 17:
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return "afternoon"
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if 17 <= hour < 21:
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return "evening"
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return "night"
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