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#!/usr/bin/env python
"""
This example will tell us which day would be best to hang out
our washing to dry.
We will loop over the next 5 days and decide whether it is
ok to hang out the washing. Then for the good days we will rank
them and print out the best.
"""
import datapoint
# Set thresholds
MAX_WIND = 31 # in mph. We don't want the washing to blow away
MAX_PRECIPITATION = 20 # Max chance of rain we will accept
# Variables for later
best_time = None
best_score = 0 # For simplicity the score will be temperature + wind speed
# Create datapoint connection
manager = datapoint.Manager(api_key="aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee")
# Get a forecast for the nearest site
forecast = manager.get_forecast(51.500728, -0.124626, "daily")
# Loop through days
for day in forecast.days:
# Get the 'Day' timestep
if day.timesteps[0].name == "Day":
timestep = day.timesteps[0]
# If precipitation, wind speed and gust are less than their threshold
if (
timestep.precipitation.value < MAX_PRECIPITATION
and timestep.wind_speed.value < MAX_WIND
and timestep.wind_gust.value < MAX_WIND
):
# Calculate the score for this timestep
timestep_score = timestep.wind_speed.value + timestep.temperature.value
# If this timestep scores better than the current best replace it
if timestep_score > best_score:
best_score = timestep_score
best_day = day.date
for timestep in forecast.timesteps:
# If precipitation, wind speed and gust are less than their threshold
if (
timestep.precipitation.value < MAX_PRECIPITATION
and timestep.wind_speed.value < MAX_WIND
and timestep.wind_gust.value < MAX_WIND
):
# Calculate the score for this timestep
timestep_score = (
timestep["windSpeed10m"]["value"] + timestep["screenTemperature"]["value"]
)
# If this timestep scores better than the current best replace it
if timestep_score > best_score:
best_score = timestep_score
best_time = timestep["time"]
# If best_day is still None then there are no good days
if best_time is None:
print("Better use the tumble dryer")
# Otherwise print out the day
else:
print(f"{best_time} is the best day with a score of {best_score}")
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