75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
"""Data models for AI summarization feature."""
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import Any
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@dataclass
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class ForecastContext:
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"""Forecast data to include in AI summary prompt."""
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start_time: str
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end_time: str
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min_temp: float
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max_temp: float
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max_wind_speed: float
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max_wind_gust: float
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max_precip_prob: float
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conditions: list[str] = field(default_factory=list)
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def to_prompt_text(self) -> str:
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"""Format forecast context for LLM prompt."""
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unique_conditions = list(dict.fromkeys(self.conditions))
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conditions_str = ", ".join(unique_conditions[:5]) if unique_conditions else "N/A"
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return (
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f"Period: {self.start_time} to {self.end_time}\n"
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f"Temperature: {self.min_temp:.0f}F - {self.max_temp:.0f}F\n"
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f"Wind: up to {self.max_wind_speed:.0f} mph, gusts to {self.max_wind_gust:.0f} mph\n"
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f"Precipitation probability: up to {self.max_precip_prob:.0f}%\n"
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f"Conditions: {conditions_str}"
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)
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def to_dict(self) -> dict[str, Any]:
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"""Convert to dictionary for serialization."""
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return {
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"start_time": self.start_time,
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"end_time": self.end_time,
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"min_temp": self.min_temp,
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"max_temp": self.max_temp,
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"max_wind_speed": self.max_wind_speed,
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"max_wind_gust": self.max_wind_gust,
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"max_precip_prob": self.max_precip_prob,
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"conditions": self.conditions,
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}
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@dataclass
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class SummaryNotification:
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"""AI-generated weather alert summary notification."""
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title: str
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message: str
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location: str
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alert_count: int
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has_changes: bool
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created_at: datetime = field(default_factory=datetime.now)
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@property
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def tags(self) -> list[str]:
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"""Get notification tags for AI summary."""
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return ["robot", "weather", "summary"]
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def to_dict(self) -> dict[str, Any]:
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"""Convert to dictionary for serialization."""
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return {
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"title": self.title,
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"message": self.message,
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"location": self.location,
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"alert_count": self.alert_count,
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"has_changes": self.has_changes,
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"created_at": self.created_at.isoformat(),
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"tags": self.tags,
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}
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