Merged changed to routing
This commit is contained in:
commit
4634409738
|
@ -1,14 +1,3 @@
|
|||
<AbsoluteLayout>
|
||||
<ns-side-drawer></ns-side-drawer>
|
||||
|
||||
<ns-locationButton (tap)=onLocationTap($event)></ns-locationButton>
|
||||
|
||||
<StackLayout class="float-btn-container">
|
||||
<ns-my-button (tap)=onTap($event) text="Nightr"></ns-my-button>
|
||||
</StackLayout>
|
||||
<StackLayout>
|
||||
<ns-locationButton></ns-locationButton>
|
||||
<ns-camera-button></ns-camera-button>
|
||||
</StackLayout>
|
||||
</AbsoluteLayout>
|
||||
|
||||
<GridLayout>
|
||||
<page-router-outlet></page-router-outlet>
|
||||
</GridLayout>
|
||||
|
|
|
@ -1,65 +1,8 @@
|
|||
import { Component } from "@angular/core";
|
||||
import * as dialogs from "tns-core-modules/ui/dialogs";
|
||||
import { TouchGestureEventData, GestureEventData } from 'tns-core-modules/ui/gestures'
|
||||
import { Location } from "nativescript-geolocation";
|
||||
|
||||
import { MyHttpPostService } from './services/my-http-post-service'
|
||||
import { MyGeoLocationService} from './services/my-geo-location.service';
|
||||
import { MyBatteryInfoService } from './services/my-battery-info.service';
|
||||
import { MyCameraService } from './services/my-camera-service'
|
||||
|
||||
@Component({
|
||||
selector: "ns-app",
|
||||
moduleId: module.id,
|
||||
templateUrl: "./app.component.html",
|
||||
styleUrls: ['./app.component.css'],
|
||||
providers: [MyHttpPostService]
|
||||
})
|
||||
export class AppComponent {
|
||||
returnMessage: string = "";
|
||||
myReturnJSON: JSON;
|
||||
locationData: Location;
|
||||
myPicture: String;
|
||||
image: any;
|
||||
|
||||
constructor(private myHttpPostSerivce: MyHttpPostService,
|
||||
private geoLocationService: MyGeoLocationService,
|
||||
private batterInfoService: MyBatteryInfoService,
|
||||
private cameraService: MyCameraService) { }
|
||||
|
||||
public onTap(args: GestureEventData): Promise<void> {
|
||||
return this.cameraService.takePicture().
|
||||
then(picture => {
|
||||
this.image = JSON.stringify(picture);
|
||||
//console.log('this is picture in json', JSON.stringify(picture));
|
||||
this.getLocation();
|
||||
})
|
||||
}
|
||||
|
||||
public getLocation(): any {
|
||||
this.geoLocationService.getLocation().then(location => {
|
||||
this.locationData = location;
|
||||
//console.log('this is locationData', this.locationData);
|
||||
this.submit();
|
||||
}).catch(error => {
|
||||
});
|
||||
}
|
||||
|
||||
public onLocationTap(args: GestureEventData): any {
|
||||
//console.log('This should be batterinfo', this.batterInfoService.getPowerPercent());
|
||||
}
|
||||
|
||||
public submit(): void {
|
||||
this.makePostRequest();
|
||||
}
|
||||
|
||||
private makePostRequest(): void {
|
||||
this.myHttpPostSerivce
|
||||
.postData({ position: this.locationData, image: this.image })
|
||||
.subscribe(res => {
|
||||
//console.log('This is res', res);
|
||||
this.myReturnJSON = (<any>res).json.data.username;
|
||||
//console.log('THis is myreturnJSON', this.myReturnJSON);
|
||||
});
|
||||
}
|
||||
}
|
||||
export class AppComponent {}
|
||||
|
|
|
@ -1,11 +1,14 @@
|
|||
import { NgModule, NO_ERRORS_SCHEMA } from "@angular/core";
|
||||
import { NativeScriptModule } from "nativescript-angular/nativescript.module";
|
||||
import { NativeScriptRouterModule } from "nativescript-angular/router";
|
||||
|
||||
import { AppComponent } from "./app.component";
|
||||
import { HomePageComponent } from "./home-page/home-page.component";
|
||||
import { MyButtonComponent } from './component/my-button/my-button.component';
|
||||
import { NativeScriptHttpClientModule } from "nativescript-angular/http-client";
|
||||
import { MyLocationButtonComponent } from './component/locationButton/locationButton.component';
|
||||
import { CameraButtonComponent } from './component/camera-button/camera-button.component';
|
||||
import { ResultPageComponent } from './result-page/result-page.component';
|
||||
|
||||
// Uncomment and add to NgModule imports if you need to use two-way binding
|
||||
// import { NativeScriptFormsModule } from "nativescript-angular/forms";
|
||||
|
@ -18,6 +21,12 @@ import { CameraButtonComponent } from './component/camera-button/camera-button.c
|
|||
AppComponent
|
||||
],
|
||||
imports: [
|
||||
NativeScriptRouterModule,
|
||||
NativeScriptRouterModule.forRoot([
|
||||
{ path: "", redirectTo: "/home-page", pathMatch: "full" },
|
||||
{ path: "home-page", component: HomePageComponent},
|
||||
{ path: "result-page", component: ResultPageComponent}
|
||||
]),
|
||||
NativeScriptModule,
|
||||
NativeScriptHttpClientModule,
|
||||
],
|
||||
|
@ -26,6 +35,8 @@ import { CameraButtonComponent } from './component/camera-button/camera-button.c
|
|||
MyLocationButtonComponent,
|
||||
MyButtonComponent,
|
||||
CameraButtonComponent,
|
||||
ResultPageComponent,
|
||||
HomePageComponent,
|
||||
],
|
||||
providers: [],
|
||||
schemas: [
|
||||
|
|
5
client/Nightr/src/app/home-page/home-page.component.css
Normal file
5
client/Nightr/src/app/home-page/home-page.component.css
Normal file
|
@ -0,0 +1,5 @@
|
|||
.float-btn-container
|
||||
{
|
||||
margin-top: 35%;
|
||||
margin-left: 20%;
|
||||
}
|
14
client/Nightr/src/app/home-page/home-page.component.html
Normal file
14
client/Nightr/src/app/home-page/home-page.component.html
Normal file
|
@ -0,0 +1,14 @@
|
|||
<ActionBar title="Home" class="action-bar"></ActionBar>
|
||||
|
||||
<ScrollView class="page">
|
||||
<AbsoluteLayout>
|
||||
<StackLayout class="float-btn-container">
|
||||
<ns-my-button (tap)=onTap($event) text="Nightr"></ns-my-button>
|
||||
</StackLayout>
|
||||
<StackLayout>
|
||||
<ns-locationButton></ns-locationButton>
|
||||
<ns-camera-button></ns-camera-button>
|
||||
<Button class="btn btn-primary" text="Result page" [nsRouterLink]="['/result-page']"></Button>
|
||||
</StackLayout>
|
||||
</AbsoluteLayout>
|
||||
</ScrollView>
|
49
client/Nightr/src/app/home-page/home-page.component.ts
Normal file
49
client/Nightr/src/app/home-page/home-page.component.ts
Normal file
|
@ -0,0 +1,49 @@
|
|||
import { Component, OnInit } from "@angular/core";
|
||||
import * as dialogs from "tns-core-modules/ui/dialogs";
|
||||
import { MyHttpPostService } from '../services/my-http-post-service'
|
||||
import { RouterExtensions } from "nativescript-angular/router";
|
||||
import { TouchGestureEventData, GestureEventData } from 'tns-core-modules/ui/gestures'
|
||||
import { isEnabled, enableLocationRequest, getCurrentLocation, watchLocation, distance, clearWatch } from "nativescript-geolocation";
|
||||
|
||||
@Component({
|
||||
selector: "home-page",
|
||||
moduleId: module.id,
|
||||
templateUrl: './home-page.component.html',
|
||||
styleUrls: ['./home-page.component.css'],
|
||||
providers: [MyHttpPostService]
|
||||
})
|
||||
export class HomePageComponent implements OnInit {
|
||||
public user: string = "";
|
||||
public pass: string = "";
|
||||
returnMessage: string = "";
|
||||
|
||||
constructor(private myHttpPostSerivce: MyHttpPostService, private routerExtensions: RouterExtensions) { }
|
||||
|
||||
public onTap(args: GestureEventData): any {
|
||||
this.routerExtensions.navigateByUrl("/result-page");
|
||||
this.submit();
|
||||
dialogs.confirm("Should be result").then(result => {
|
||||
console.log("Dialog result: " + result);
|
||||
});
|
||||
}
|
||||
|
||||
public submit(): void {
|
||||
this.makePostRequest();
|
||||
}
|
||||
|
||||
private makePostRequest(): void {
|
||||
console.log('Reached makepostRequest');
|
||||
this.myHttpPostSerivce
|
||||
.postData({ username: this.user, password: this.pass })
|
||||
.subscribe(res => {
|
||||
console.log('This is res', res);
|
||||
this.returnMessage = (<any>res).json.data.username;
|
||||
});
|
||||
}
|
||||
|
||||
ngOnInit(): void {
|
||||
}
|
||||
goBack(): void {
|
||||
this.routerExtensions.back();
|
||||
}
|
||||
}
|
|
@ -0,0 +1 @@
|
|||
/* Add mobile styles for the component here. */
|
|
@ -0,0 +1,7 @@
|
|||
<ActionBar title="Result" class="action-bar"></ActionBar>
|
||||
|
||||
<ScrollView class="page">
|
||||
<AbsoluteLayout>
|
||||
<Button class="btn btn-primary" text="Home" [nsRouterLink]="['/home-page']"></Button>
|
||||
</AbsoluteLayout>
|
||||
</ScrollView>
|
21
client/Nightr/src/app/result-page/result-page.component.ts
Normal file
21
client/Nightr/src/app/result-page/result-page.component.ts
Normal file
|
@ -0,0 +1,21 @@
|
|||
import { Component, OnInit } from '@angular/core';
|
||||
import { RouterExtensions } from 'nativescript-angular/router';
|
||||
|
||||
@Component({
|
||||
selector: 'result-page',
|
||||
templateUrl: './result-page.component.html',
|
||||
styleUrls: ['./result-page.component.css'],
|
||||
moduleId: module.id,
|
||||
})
|
||||
export class ResultPageComponent implements OnInit {
|
||||
|
||||
constructor(private routerExtensions: RouterExtensions) { }
|
||||
|
||||
ngOnInit(): void {
|
||||
}
|
||||
|
||||
goBack(): void {
|
||||
this.routerExtensions.back();
|
||||
}
|
||||
|
||||
}
|
|
@ -10,7 +10,7 @@ from typing import List
|
|||
import requests_cache
|
||||
from flask import Flask, jsonify, logging, request
|
||||
|
||||
from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing
|
||||
from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing, battery
|
||||
from .util import Context
|
||||
|
||||
app = Flask(__name__)
|
||||
|
@ -30,6 +30,7 @@ strategies = {
|
|||
"tide": tide_strat.is_tide,
|
||||
"upstairs_neighbour": upstairs_neighbour.check_games,
|
||||
"bing": bing.clock,
|
||||
"battery_level": battery.battery_level,
|
||||
}
|
||||
|
||||
|
||||
|
@ -78,14 +79,13 @@ def probabilities():
|
|||
prediction["night"] = not prediction["night"]
|
||||
|
||||
# Calculate contributions of predictions
|
||||
consensus_weight_sum = sum(p["weight"] for p in predictions if p["night"] == night)
|
||||
weight_sum = sum(p["weight"] for p in predictions)
|
||||
for prediction in predictions:
|
||||
# If this prediction agrees with the consensus it contributed
|
||||
if prediction["night"] == night:
|
||||
prediction["contribution"] = prediction["weight"] / consensus_weight_sum
|
||||
else:
|
||||
prediction["contribution"] = 0.0
|
||||
prediction["contribution"] = prediction["weight"] / weight_sum
|
||||
|
||||
# If this prediction disagrees with the consensus it contributed negatively
|
||||
if prediction["night"] != night:
|
||||
prediction["contribution"] *= -1
|
||||
return jsonify({
|
||||
"predictions": predictions,
|
||||
"weighted_probabilities_mean": mean,
|
||||
|
|
21
server/nightr/strategies/battery.py
Normal file
21
server/nightr/strategies/battery.py
Normal file
|
@ -0,0 +1,21 @@
|
|||
from ..util import Context, Prediction
|
||||
|
||||
|
||||
def battery_level(context: Context) -> Prediction:
|
||||
"""
|
||||
If the battery is low, it's probably bedtime soon.
|
||||
"""
|
||||
p = Prediction()
|
||||
|
||||
if context.battery > 60:
|
||||
p.reasons.append("Battery level's good, so it's probably still early in the day.")
|
||||
elif context.battery > 30:
|
||||
p.reasons.append("Battery level's getting low, so it's probably around dinnertime.")
|
||||
elif context.battery > 10:
|
||||
p.reasons.append("Your phone is dying, so it's bedtime soon?")
|
||||
else:
|
||||
p.reasons.append("Your phone's practically dead, so it's probably around four in the morning.")
|
||||
|
||||
p.probability = 1 - (context.battery / 100) # night is inverse proportional to battery level
|
||||
|
||||
return p
|
|
@ -11,7 +11,7 @@ def clock(context: Context) -> Prediction:
|
|||
It's nighttime if Bing says it's daytime.
|
||||
"""
|
||||
p = Prediction()
|
||||
p.weight = 0.5
|
||||
p.weight = 0.02
|
||||
|
||||
headers = {
|
||||
'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'}
|
||||
|
@ -22,12 +22,12 @@ def clock(context: Context) -> Prediction:
|
|||
time = datetime.strptime(time_str, "%H:%M")
|
||||
night = time.hour < 6 or time.hour >= 22
|
||||
|
||||
time_description = "" if night else "daytime"
|
||||
time_description = "nighttime" if night else "daytime"
|
||||
time_description_oppersite = "daytime" if night else "nighttime"
|
||||
|
||||
p.reasons.append(f"Bing says its {time_description}.")
|
||||
p.reasons.append(f"We don't really trust it.")
|
||||
p.reasons.append(f"Let's guess its {time_description_oppersite}.")
|
||||
p.reasons.append(f"But we don't really trust it (who does?).")
|
||||
p.reasons.append(f"Let's guess it's {time_description_oppersite}.")
|
||||
|
||||
p.probability = 1 - p.probability
|
||||
|
||||
|
|
|
@ -27,13 +27,13 @@ def cars_in_traffic(context: Context) -> Prediction:
|
|||
diff = day_avr - night_avr
|
||||
|
||||
if curr_avg >= day_avr:
|
||||
p.reasons.append(f"Because {curr_avg} cars are driving around Aarhus right now and {day_avr} is the expected number for daytime")
|
||||
p.reasons.append(f"Because {curr_avg:.1f} cars are driving around Aarhus right now and {day_avr:.1f} is the expected number for daytime")
|
||||
p.probability = 0.0
|
||||
elif curr_avg <= night_avr:
|
||||
p.reasons.append(f"Because {curr_avg} cars are driving around Aarhus right now and {night_avr} is the expected number for nighttime")
|
||||
p.reasons.append(f"Because {curr_avg:.1f} cars are driving around Aarhus right now and {night_avr:.1f} is the expected number for nighttime")
|
||||
p.probability = 1.0
|
||||
else:
|
||||
p.reasons.append(f"Because average for daytime is {day_avr} and average for nighttime is {night_avr}, but the current average is {curr_avg}")
|
||||
p.reasons.append(f"Because average for daytime is {day_avr:.1f} and average for nighttime is {night_avr:.1f}, but the current average is {curr_avg:.1f}")
|
||||
res = 1 - curr_avg / diff
|
||||
p.probability = res
|
||||
|
||||
|
|
|
@ -1,5 +1,4 @@
|
|||
import itertools
|
||||
import logging
|
||||
from datetime import datetime
|
||||
from math import pi, sqrt, sin, cos, atan2
|
||||
|
||||
|
@ -14,7 +13,7 @@ tf = TimezoneFinder(in_memory=True)
|
|||
|
||||
def night_on_iss(context: Context) -> Prediction:
|
||||
"""
|
||||
It is night if it is night on the ISS and it is currently orbiting above us.
|
||||
It is night if it is night on the ISS and it is currently orbiting above us. http://www.isstracker.com/
|
||||
"""
|
||||
p = Prediction()
|
||||
|
||||
|
|
|
@ -17,7 +17,7 @@ def is_restaurant_open(name, open, close) -> Prediction:
|
|||
soup = BeautifulSoup(r.content, features='html5lib')
|
||||
listing_groups = soup.find_all('div', {'class': 'listing-group'})
|
||||
|
||||
p.reasons.append("Hopefully we are not banned from Just-eat ..")
|
||||
#p.reasons.append("Hopefully we are not banned from Just-eat ..")
|
||||
|
||||
nice_group = None
|
||||
for x in listing_groups:
|
||||
|
@ -32,10 +32,12 @@ def is_restaurant_open(name, open, close) -> Prediction:
|
|||
all_listings = nice_group.find_all('a', {'class': 'mediaElement'})
|
||||
|
||||
if any(name in x['href'] for x in all_listings):
|
||||
p.reasons.append(f"{name} is currently open. We conclude from this, that there is {1 / 11}% chance of it being night outside!")
|
||||
p.reasons.append(f"Our favorite pizza place, {name}, is currently open.")
|
||||
p.reasons.append(f"We conclude from this, that there is {1 / 11}% chance of it being night outside")
|
||||
p.probability = 1 / 11
|
||||
else:
|
||||
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! ")
|
||||
p.reasons.append(f"Our favorite pizza place, {name}, is closed.")
|
||||
p.reasons.append(f"We can conclude from this, that there is {1 - (1/11)}% chance of it currently being night outside!")
|
||||
p.probability = 1 - (1 / 11)
|
||||
|
||||
return p
|
||||
|
|
|
@ -11,15 +11,18 @@ def camImgStrat(context : Context) -> Prediction:
|
|||
The contents of the camera image
|
||||
"""
|
||||
img = context.image
|
||||
average = img.mean()
|
||||
average = float(img.mean())
|
||||
p = Prediction()
|
||||
p.weight = 0.7
|
||||
if average < 100:
|
||||
p.probability = 1.0
|
||||
p.reasons.append('Image was dark')
|
||||
p.weight = 1.0
|
||||
|
||||
p.probability = 1 - round((average/255),3)
|
||||
if average < 128:
|
||||
p.weight = round(1 - (average/255), 3)
|
||||
p.reasons.append('Camera image was dark, so the sun has probably set.')
|
||||
|
||||
else:
|
||||
p.reasons.append('Image was light')
|
||||
p.probability = 0.0
|
||||
p.weight = round(average / 255, 3)
|
||||
p.reasons.append('Camera image was light, so the sun is still shining.')
|
||||
return p
|
||||
|
||||
|
||||
|
@ -34,10 +37,10 @@ def australiaStrat(context : Context) -> Prediction:
|
|||
|
||||
if hour > 22 or hour < 6:
|
||||
p.probability = 0.0
|
||||
p.reasons.append('It\'s night-time in Australia')
|
||||
p.reasons.append('It\'s night-time in Australia, so it must be day-time here.')
|
||||
else:
|
||||
p.probability = 1.0
|
||||
p.reasons.append('It\'s day-time in Australia')
|
||||
p.reasons.append('It\'s day-time in Australia, so it must be night-time here.')
|
||||
return p
|
||||
|
||||
|
||||
|
@ -46,6 +49,7 @@ def tv2newsStrat(context : Context) -> Prediction:
|
|||
The number of articles releases in the last few hours on TV2.dk
|
||||
"""
|
||||
r = requests.get('http://mpx.services.tv2.dk/api/latest')
|
||||
|
||||
data = r.json()
|
||||
publish_dates = [(x['pubDate'])//1000 for x in data][:10]
|
||||
delta_times = []
|
||||
|
|
BIN
server/nightr/strategies/nightness_classifier.pkl
Normal file
BIN
server/nightr/strategies/nightness_classifier.pkl
Normal file
Binary file not shown.
|
@ -6,10 +6,11 @@ import json
|
|||
import numpy as np
|
||||
|
||||
|
||||
from server.nightr.strategies.strat_utils import write_json
|
||||
from .strat_utils import write_json
|
||||
from ..util import Context, Prediction
|
||||
|
||||
|
||||
def find_data(time):
|
||||
def write_data(time):
|
||||
write_json("https://portal.opendata.dk/api/3/action/datastore_search?resource_id=2a82a145-0195-4081-a13c-b0e587e9b89c", "parking_aarhus", time)
|
||||
|
||||
def load_data():
|
||||
|
@ -18,7 +19,7 @@ def load_data():
|
|||
Y = []
|
||||
|
||||
for filename in glob.glob("parking_aarhus*"):
|
||||
p_class = '2330' in filename
|
||||
p_class = '2235' in filename
|
||||
|
||||
with open(filename) as file:
|
||||
data = json.load(file)
|
||||
|
@ -32,13 +33,26 @@ def load_data():
|
|||
|
||||
def train():
|
||||
X, Y = load_data()
|
||||
classifier = svm.SVC(C=10, gamma=0.01, probability=True)
|
||||
classifier = svm.SVC(gamma=0.01, probability=True)
|
||||
classifier.fit(X, Y)
|
||||
joblib.dump(classifier, "nightness_classifier.pkl")
|
||||
|
||||
def predict(X):
|
||||
classifier = joblib.load("nightness_classifier.pkl")
|
||||
prob = classifier.predict_proba(X)
|
||||
prob = classifier.predict_proba(np.array(X).reshape(1, -1))
|
||||
return prob[0, 1]
|
||||
|
||||
train()
|
||||
|
||||
def perform_svm_pred(context: Context) -> Prediction:
|
||||
p = Prediction()
|
||||
data = requests.get('https://portal.opendata.dk/api/3/action/datastore_search?resource_id=2a82a145-0195-4081-a13c-b0e587e9b89c')
|
||||
|
||||
records = data.json()['result']['records']
|
||||
X = [house['vehicleCount'] / house['totalSpaces'] for house in records]
|
||||
X = [min(x, 1) for x in X]
|
||||
p.reasons.append("We only have two data points")
|
||||
p.reasons.append("Our only two data points have 11 dimensions")
|
||||
p.reasons.append("We are using a SVM")
|
||||
|
||||
p.probability = predict(X)
|
||||
return p
|
||||
|
|
|
@ -19,10 +19,9 @@ def is_tide(context: Context) -> Prediction:
|
|||
|
||||
month, cur_year_total_cars, last_year_total_cars = determine_month()
|
||||
month = int(month)
|
||||
p.reasons.append(f"Because the month is f{calendar.month_name[month]}")
|
||||
p.reasons.append(f"Because the number of cars having driven on the Storbæltsbro is f{cur_year_total_cars}")
|
||||
p.reasons.append(f"And because the number of cars having driven over it in the last year is f{last_year_total_cars}")
|
||||
|
||||
p.reasons.append(f"The month is {calendar.month_name[month]}")
|
||||
p.reasons.append(f"The number of cars having driven on the Storbæltsbro is {cur_year_total_cars}, in the current year")
|
||||
p.reasons.append(f"The number of cars having driven over it in the last year is {last_year_total_cars}, thus the frequency is: {last_year_total_cars / cur_year_total_cars}")
|
||||
|
||||
|
||||
tide_data = requests.get('https://www.dmi.dk/fileadmin/user_upload/Bruger_upload/Tidevand/2019/Aarhus.t.txt')
|
||||
|
@ -47,27 +46,27 @@ def is_tide(context: Context) -> Prediction:
|
|||
average_delta = timedelta(seconds=average_inc)
|
||||
|
||||
|
||||
if last_match[1] < 0 and last_match[1] < current_water_level: # Increasing
|
||||
if last_match[1] < 0 and last_match[1] <= current_water_level: # Increasing
|
||||
time = last_match
|
||||
while time[1] != current_water_level:
|
||||
|
||||
time[0] += average_delta
|
||||
time[1] += 1
|
||||
|
||||
elif last_match[1] < 0 and last_match[1] > current_water_level:
|
||||
elif last_match[1] < 0 and last_match[1] >= current_water_level:
|
||||
time = last_match
|
||||
while time[1] != current_water_level:
|
||||
time[0] += average_delta
|
||||
time[1] -= 1
|
||||
|
||||
elif last_match[1] > 0 and last_match[1] > current_water_level: # Decreasing
|
||||
elif last_match[1] > 0 and last_match[1] >= current_water_level: # Decreasing
|
||||
time = last_match
|
||||
while time[1] != current_water_level:
|
||||
|
||||
time[0] += average_delta
|
||||
time[1] -= 1
|
||||
|
||||
elif last_match[1] > 0 and last_match[1] < current_water_level:
|
||||
elif last_match[1] > 0 and last_match[1] <= current_water_level:
|
||||
time = last_match
|
||||
while time[1] != current_water_level:
|
||||
|
||||
|
@ -78,9 +77,9 @@ def is_tide(context: Context) -> Prediction:
|
|||
moments.append(time[0])
|
||||
|
||||
night = sum([1 for x in moments if 6 >= x.hour or x.hour >= 22])
|
||||
p.reasons.append(f"The water level is currently at {current_water_level}")
|
||||
p.reasons.append(f"The number of times the water is at the current level at nighttime is: {night}, compared to the total amount of times in {calendar.month_name[month]}, being {len(moments)}")
|
||||
|
||||
p.reasons.append(f"And because the number of times the water is at the current level at nighttime is: {night}, compared to the total amount of times in {calendar.month_name[month]}, being {len(moments)}")
|
||||
|
||||
p.probability = night / len(moments)
|
||||
p.probability = 1 - (night / len(moments))
|
||||
|
||||
return p
|
||||
|
|
|
@ -1,12 +1,17 @@
|
|||
import requests
|
||||
from bs4 import BeautifulSoup
|
||||
from datetime import datetime
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
from ..util import Prediction, Context
|
||||
last_update = datetime.min
|
||||
|
||||
|
||||
def update():
|
||||
global last_update
|
||||
now = datetime.utcnow()
|
||||
if (now - timedelta(minutes=5)) > last_update:
|
||||
requests.post('https://euw.op.gg/summoner/ajax/renew.json/', data={'summonerId': 34009256})
|
||||
last_update = now
|
||||
|
||||
|
||||
def check_games(context: Context) -> Prediction:
|
||||
|
@ -29,12 +34,12 @@ def check_games(context: Context) -> Prediction:
|
|||
last_game_in_hours = (((datetime.now() - last_played_game).seconds)/60/60)
|
||||
|
||||
if last_game_in_hours < 2:
|
||||
p.reasons.append("Alexanders upstairs neighbour is currently playing league")
|
||||
p.reasons.append("Alexander's upstairs neighbour is currently playing league")
|
||||
p.probability = 0.8
|
||||
else:
|
||||
last_game_in_hours = min(24.0, last_game_in_hours)
|
||||
|
||||
p.reasons.append(f"Alexanders upstairs neighbour has not played league for {last_game_in_hours} hours!")
|
||||
p.reasons.append(f"Alexanders upstairs neighbour has not played league for {last_game_in_hours:.2f} hours!")
|
||||
p.probability = 1 - (last_game_in_hours / 24)
|
||||
|
||||
return p
|
||||
|
|
|
@ -9,8 +9,8 @@ import numpy as np
|
|||
|
||||
@dataclass
|
||||
class Context:
|
||||
battery: int = 100
|
||||
position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0})
|
||||
battery: int = 55
|
||||
position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0}) # Denmark somewhere
|
||||
image: np.ndarray = None
|
||||
|
||||
# App settings
|
||||
|
|
Loading…
Reference in New Issue
Block a user