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annotate weather_server/types.py @ 30:c760ab7f93c2

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author Paul Fisher <paul@pfish.zone>
date Tue, 19 May 2020 10:15:29 -0400
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1 """Basic data types for the weather server."""
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2
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3 import datetime
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4 import math
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5 import typing as t
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6
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7 import attr
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10 T = t.TypeVar('T')
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13 def c_to_f(c: float) -> float:
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14 return c * 9 / 5 + 32
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16
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17 # Values from Sontag1990 via Wikipedia:
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18 # https://en.wikipedia.org/wiki/Dew_point
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19 _MAGNUS_B = 17.62
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20 _MAGNUS_C = 243.12
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22
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23 @attr.s(frozen=True, slots=True)
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24 class Reading:
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25 """A single reading from a weather thingy.
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26
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27 Field order is important, as it is used in CSV files.
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28 """
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29
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30 # The Unix timestamp of the reading.
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31 sample_time = attr.ib(type=datetime.datetime)
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32
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33 # The temperature, in degrees Celsius.
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34 temp_c = attr.ib(type=float)
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35
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36 # The relative humidity, in percent.
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37 rh_pct = attr.ib(type=float)
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38
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39 # The Unix timestamp when the reading was received.
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40 ingest_time = attr.ib(type=datetime.datetime)
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41
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42 @property
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43 def temp_f(self) -> float:
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44 return c_to_f(self.temp_c)
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45
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46 @property
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47 def dew_point_c(self) -> float:
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48 gamma = self._gamma
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49 return _MAGNUS_C * gamma / (_MAGNUS_B - gamma)
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50
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51 @property
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52 def dew_point_f(self) -> float:
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53 return c_to_f(self.dew_point_c)
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54
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55 @classmethod
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56 def from_dict(cls: t.Type[T], d: t.Dict[str, t.Any]) -> T:
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57 return cls(**{f.name: d[f.name] for f in attr.fields(cls)})
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59 @property
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60 def _gamma(self) -> float:
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61 return (
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62 math.log(self.rh_pct / 100) +
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63 _MAGNUS_B * self.temp_c / (_MAGNUS_C + self.temp_c))