#!/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}")