Reasons and battery.
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@ -10,7 +10,7 @@ from typing import List
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import requests_cache
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from flask import Flask, jsonify, logging, request
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from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing
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from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing, battery
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from .util import Context
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app = Flask(__name__)
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@ -30,6 +30,7 @@ strategies = {
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"tide": tide_strat.is_tide,
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"upstairs_neighbour": upstairs_neighbour.check_games,
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"bing": bing.clock,
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"battery_level": battery.battery_level,
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}
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21
server/nightr/strategies/battery.py
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21
server/nightr/strategies/battery.py
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@ -0,0 +1,21 @@
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from ..util import Context, Prediction
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def battery_level(context: Context) -> Prediction:
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"""
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If the battery is low, it's probably bedtime soon.
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"""
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p = Prediction()
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if context.battery > 60:
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p.reasons.append("Battery level's good, so it's probably still early in the day.")
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elif context.battery > 30:
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p.reasons.append("Battery level's getting low, so it's probably around dinnertime.")
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elif context.battery > 10:
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p.reasons.append("Your phone is dying, so it's bedtime soon?")
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else:
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p.reasons.append("Your phone's practically dead, so it's probably around four in the morning.")
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p.probability = 1 - (context.battery / 100) # night is inverse proportional to battery level
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return p
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@ -11,7 +11,7 @@ def clock(context: Context) -> Prediction:
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It's nighttime if Bing says it's daytime.
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"""
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p = Prediction()
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p.weight = 0.05
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p.weight = 0.02
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'}
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@ -22,7 +22,7 @@ def clock(context: Context) -> Prediction:
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time = datetime.strptime(time_str, "%H:%M")
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night = time.hour < 6 or time.hour >= 22
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time_description = "" if night else "daytime"
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time_description = "nighttime" if night else "daytime"
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time_description_oppersite = "daytime" if night else "nighttime"
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p.reasons.append(f"Bing says its {time_description}.")
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@ -1,5 +1,4 @@
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import itertools
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import logging
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from datetime import datetime
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from math import pi, sqrt, sin, cos, atan2
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@ -14,7 +13,7 @@ tf = TimezoneFinder(in_memory=True)
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def night_on_iss(context: Context) -> Prediction:
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"""
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It is night if it is night on the ISS and it is currently orbiting above us.
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It is night if it is night on the ISS and it is currently orbiting above us. http://www.isstracker.com/
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"""
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p = Prediction()
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@ -17,7 +17,7 @@ def is_restaurant_open(name, open, close) -> Prediction:
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soup = BeautifulSoup(r.content, features='html5lib')
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listing_groups = soup.find_all('div', {'class': 'listing-group'})
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p.reasons.append("Hopefully we are not banned from Just-eat ..")
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#p.reasons.append("Hopefully we are not banned from Just-eat ..")
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nice_group = None
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for x in listing_groups:
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@ -32,10 +32,12 @@ def is_restaurant_open(name, open, close) -> Prediction:
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all_listings = nice_group.find_all('a', {'class': 'mediaElement'})
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if any(name in x['href'] for x in all_listings):
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p.reasons.append(f"{name} is currently open. We conclude from this, that there is {1 / 11}% chance of it being night outside!")
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p.reasons.append(f"Our favorite pizza place, {name}, is currently open.")
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p.reasons.append(f"We conclude from this, that there is {1 / 11}% chance of it being night outside")
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p.probability = 1 / 11
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else:
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p.reasons.append(f"{name} is not open. We can conclude from this, that there is {1 - (1/11)}% chance of it currently being night outside! ")
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p.reasons.append(f"Our favorite pizza place, {name}, is closed.")
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p.reasons.append(f"We can conclude from this, that there is {1 - (1/11)}% chance of it currently being night outside!")
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p.probability = 1 - (1 / 11)
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return p
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@ -18,11 +18,11 @@ def camImgStrat(context : Context) -> Prediction:
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p.probability = 1 - round((average/255),3)
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if average < 128:
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p.weight = round(1 - (average/255), 3)
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p.reasons.append('Image was dark')
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p.reasons.append('Camera image was dark, so the sun has probably set.')
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else:
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p.weight = round(average / 255, 3)
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p.reasons.append('Image was light')
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p.reasons.append('Camera image was light, so the sun is still shining.')
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return p
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@ -37,10 +37,10 @@ def australiaStrat(context : Context) -> Prediction:
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if hour > 22 or hour < 6:
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p.probability = 0.0
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p.reasons.append('It\'s night-time in Australia')
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p.reasons.append('It\'s night-time in Australia, so it must be day-time here.')
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else:
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p.probability = 1.0
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p.reasons.append('It\'s day-time in Australia')
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p.reasons.append('It\'s day-time in Australia, so it must be night-time here.')
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return p
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@ -48,10 +48,7 @@ def tv2newsStrat(context : Context) -> Prediction:
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"""
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The number of articles releases in the last few hours on TV2.dk
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"""
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print('before')
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r = requests.get('http://mpx.services.tv2.dk/api/latest')
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print('after')
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data = r.json()
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publish_dates = [(x['pubDate'])//1000 for x in data][:10]
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@ -50,9 +50,9 @@ def perform_svm_pred(context: Context) -> Prediction:
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records = data.json()['result']['records']
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X = [house['vehicleCount'] / house['totalSpaces'] for house in records]
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X = [min(x, 1) for x in X]
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p.reasons.append("Since we only have two data points")
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p.reasons.append("Since our only two data points have 11 dimensions")
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p.reasons.append("Since we are using a SVM")
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p.reasons.append("We only have two data points")
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p.reasons.append("Our only two data points have 11 dimensions")
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p.reasons.append("We are using a SVM")
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p.probability = predict(X)
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return p
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@ -34,7 +34,7 @@ def check_games(context: Context) -> Prediction:
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last_game_in_hours = (((datetime.now() - last_played_game).seconds)/60/60)
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if last_game_in_hours < 2:
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p.reasons.append("Alexanders upstairs neighbour is currently playing league")
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p.reasons.append("Alexander's upstairs neighbour is currently playing league")
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p.probability = 0.8
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else:
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last_game_in_hours = min(24.0, last_game_in_hours)
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@ -9,8 +9,8 @@ import numpy as np
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@dataclass
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class Context:
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battery: int = 100
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position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0})
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battery: int = 55
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position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0}) # Denmark somewhere
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image: np.ndarray = None
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# App settings
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