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weather.py
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weather.py
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from typing import Dict, Tuple
import math
import timely_beliefs as tb
from sqlalchemy.orm import Query
from sqlalchemy.ext.hybrid import hybrid_method, hybrid_property
from sqlalchemy.sql.expression import func
from sqlalchemy.schema import UniqueConstraint
from flexmeasures.data.config import db
from flexmeasures.data.models.time_series import TimedValue
from flexmeasures.utils.geo_utils import parse_lat_lng
from flexmeasures.utils.flexmeasures_inflection import humanize
class WeatherSensorType(db.Model):
""" "
TODO: Add useful attributes like ...?
"""
name = db.Column(db.String(80), primary_key=True)
display_name = db.Column(db.String(80), default="", unique=True)
daily_seasonality = True
weekly_seasonality = False
yearly_seasonality = True
def __init__(self, **kwargs):
super(WeatherSensorType, self).__init__(**kwargs)
self.name = self.name.replace(" ", "_").lower()
if "display_name" not in kwargs:
self.display_name = humanize(self.name)
def __repr__(self):
return "<WeatherSensorType %r>" % self.name
class WeatherSensor(db.Model, tb.SensorDBMixin):
"""A weather sensor has a location on Earth and measures weather values of a certain weather sensor type, such as
temperature, wind speed and radiation."""
name = db.Column(db.String(80), unique=True)
display_name = db.Column(db.String(80), default="", unique=False)
weather_sensor_type_name = db.Column(
db.String(80), db.ForeignKey("weather_sensor_type.name"), nullable=False
)
# latitude is the North/South coordinate
latitude = db.Column(db.Float, nullable=False)
# longitude is the East/West coordinate
longitude = db.Column(db.Float, nullable=False)
# only one sensor of any type is needed at one location
__table_args__ = (
UniqueConstraint(
"weather_sensor_type_name",
"latitude",
"longitude",
name="weather_sensor_type_name_latitude_longitude_key",
),
)
def __init__(self, **kwargs):
# Set default knowledge horizon function for a physical sensor
if "knowledge_horizon_fnc" not in kwargs:
kwargs["knowledge_horizon_fnc"] = "determine_ex_post_knowledge_horizon"
if "knowledge_horizon_par" not in kwargs:
kwargs["knowledge_horizon_par"] = {"ex_post_horizon": "PT0H"}
super(WeatherSensor, self).__init__(**kwargs)
self.name = self.name.replace(" ", "_").lower()
@property
def weather_unit(self) -> float:
"""Return the 'unit' property of the generic asset, just with a more insightful name."""
return self.unit
@property
def location(self) -> Tuple[float, float]:
return self.latitude, self.longitude
@hybrid_property
def cos_rad_lat(self):
return math.cos(math.radians(self.latitude))
@hybrid_property
def sin_rad_lat(self):
return math.sin(math.radians(self.latitude))
@hybrid_property
def rad_lng(self):
return math.radians(self.longitude)
@hybrid_method
def great_circle_distance(self, **kwargs):
"""Query great circle distance (in km).
Can be called with an object that has latitude and longitude properties, for example:
great_circle_distance(object=asset)
Can also be called with latitude and longitude parameters, for example:
great_circle_distance(latitude=32, longitude=54)
great_circle_distance(lat=32, lng=54)
"""
r = 6371 # Radius of Earth in kilometers
other_latitude, other_longitude = parse_lat_lng(kwargs)
if other_latitude is None or other_longitude is None:
return None
other_cos_rad_lat = math.cos(math.radians(other_latitude))
other_sin_rad_lat = math.sin(math.radians(other_latitude))
other_rad_lng = math.radians(other_longitude)
return (
math.acos(
self.cos_rad_lat
* other_cos_rad_lat
* math.cos(self.rad_lng - other_rad_lng)
+ self.sin_rad_lat * other_sin_rad_lat
)
* r
)
@great_circle_distance.expression
def great_circle_distance(self, **kwargs):
"""Query great circle distance (unclear if in km or in miles).
Can be called with an object that has latitude and longitude properties, for example:
great_circle_distance(object=asset)
Can also be called with latitude and longitude parameters, for example:
great_circle_distance(latitude=32, longitude=54)
great_circle_distance(lat=32, lng=54)
"""
other_latitude, other_longitude = parse_lat_lng(kwargs)
if other_latitude is None or other_longitude is None:
return None
return func.earth_distance(
func.ll_to_earth(self.latitude, self.longitude),
func.ll_to_earth(other_latitude, other_longitude),
)
sensor_type = db.relationship(
"WeatherSensorType", backref=db.backref("sensors", lazy=True)
)
def __repr__(self):
return "<WeatherSensor %s:%r (%r), res.:%s>" % (
self.id,
self.name,
self.weather_sensor_type_name,
self.event_resolution,
)
def to_dict(self) -> Dict[str, str]:
return dict(name=self.name, sensor_type=self.weather_sensor_type_name)
class Weather(TimedValue, db.Model):
"""
All weather measurements are stored in one slim table.
TODO: datetime objects take up most of the space (12 bytes each)). One way out is to normalise them out to a table.
"""
sensor_id = db.Column(
db.Integer(), db.ForeignKey("weather_sensor.id"), primary_key=True, index=True
)
sensor = db.relationship("WeatherSensor", backref=db.backref("weather", lazy=True))
@classmethod
def make_query(cls, **kwargs) -> Query:
"""Construct the database query."""
return super().make_query(asset_class=WeatherSensor, **kwargs)
def __init__(self, **kwargs):
super(Weather, self).__init__(**kwargs)