This commit is contained in:
Alexander Munch-Hansen 2019-04-06 21:05:47 +02:00
commit 27935feeba
15 changed files with 126 additions and 15 deletions

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@ -3776,6 +3776,14 @@
"reflect-metadata": "^0.1.8" "reflect-metadata": "^0.1.8"
} }
}, },
"nativescript-camera": {
"version": "4.4.0",
"resolved": "https://registry.npmjs.org/nativescript-camera/-/nativescript-camera-4.4.0.tgz",
"integrity": "sha512-9Snw/IGjw8cVN1nOwkhQko/x/D2thcd6FZT98k9bstvCHwdBBdmLtGGcHCm4SN0k3MSgvbghs8iaARniZCKO0Q==",
"requires": {
"nativescript-permissions": "^1.2.3"
}
},
"nativescript-dev-typescript": { "nativescript-dev-typescript": {
"version": "0.9.0", "version": "0.9.0",
"resolved": "https://registry.npmjs.org/nativescript-dev-typescript/-/nativescript-dev-typescript-0.9.0.tgz", "resolved": "https://registry.npmjs.org/nativescript-dev-typescript/-/nativescript-dev-typescript-0.9.0.tgz",

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@ -22,6 +22,7 @@
"@angular/platform-browser-dynamic": "~7.2.0", "@angular/platform-browser-dynamic": "~7.2.0",
"@angular/router": "~7.2.0", "@angular/router": "~7.2.0",
"nativescript-angular": "~7.2.0", "nativescript-angular": "~7.2.0",
"nativescript-camera": "^4.4.0",
"nativescript-geolocation": "^5.0.0", "nativescript-geolocation": "^5.0.0",
"nativescript-theme-core": "~1.0.4", "nativescript-theme-core": "~1.0.4",
"reflect-metadata": "~0.1.12", "reflect-metadata": "~0.1.12",

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@ -4,8 +4,9 @@
<StackLayout class="float-btn-container"> <StackLayout class="float-btn-container">
<ns-my-button (tap)=onTap($event) text="Nightr"></ns-my-button> <ns-my-button (tap)=onTap($event) text="Nightr"></ns-my-button>
</StackLayout> </StackLayout>
<StackLayout>
<ns-locationButton></ns-locationButton> <ns-locationButton></ns-locationButton>
<ns-camera-button></ns-camera-button>
</StackLayout>
</AbsoluteLayout> </AbsoluteLayout>

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@ -5,6 +5,7 @@ import { AppComponent } from "./app.component";
import { MyButtonComponent } from './component/my-button/my-button.component'; import { MyButtonComponent } from './component/my-button/my-button.component';
import { NativeScriptHttpClientModule } from "nativescript-angular/http-client"; import { NativeScriptHttpClientModule } from "nativescript-angular/http-client";
import { MyLocationButtonComponent } from './component/locationButton/locationButton.component'; import { MyLocationButtonComponent } from './component/locationButton/locationButton.component';
import { CameraButtonComponent } from './component/camera-button/camera-button.component';
// Uncomment and add to NgModule imports if you need to use two-way binding // Uncomment and add to NgModule imports if you need to use two-way binding
// import { NativeScriptFormsModule } from "nativescript-angular/forms"; // import { NativeScriptFormsModule } from "nativescript-angular/forms";
@ -24,6 +25,7 @@ import { MyLocationButtonComponent } from './component/locationButton/locationBu
AppComponent, AppComponent,
MyLocationButtonComponent, MyLocationButtonComponent,
MyButtonComponent, MyButtonComponent,
CameraButtonComponent,
], ],
providers: [], providers: [],
schemas: [ schemas: [

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@ -0,0 +1 @@
/* Add mobile styles for the component here. */

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@ -0,0 +1 @@
<Button text="camera-button works!" class="btn btn-primary" (tap)="onTap()"></Button>

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@ -0,0 +1,25 @@
import { Component, OnInit } from '@angular/core';
import { MyCameraService } from '../../services/my-camera-service';
import { Image } from 'tns-core-modules/ui/image'
@Component({
selector: 'ns-camera-button',
templateUrl: './camera-button.component.html',
styleUrls: ['./camera-button.component.css'],
moduleId: module.id,
})
export class CameraButtonComponent implements OnInit {
camera:MyCameraService = new MyCameraService();
constructor() { }
ngOnInit() {
}
onTap() {
this.camera.takePicture().then(
(res) => {console.log(res)}, () => {}
);
}
}

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@ -0,0 +1,35 @@
import { Injectable } from '@angular/core';
import * as camera from 'nativescript-camera';
import { ImageSource } from 'tns-core-modules/image-source/image-source';
@Injectable({
providedIn: 'root'
})
export class MyCameraService {
constructor() { }
takePicture(): Promise<string> {
var result = new Promise<string>((resolve, reject) => {
camera.requestPermissions().
then(
() => {
camera.takePicture().then(
(imageAsset) => {
var src = new ImageSource();
src.fromAsset(imageAsset).then(
(source) => {
resolve(source.toBase64String("png", 75));
alert("Image uploaded");
}
);
}
).catch((error) => alert(error.message));
}, () => {
alert("Request rejected");
}
).catch();
});
return result;
}
}

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@ -1,6 +1,5 @@
import { Injectable } from '@angular/core'; import { Injectable } from '@angular/core';
import { isEnabled, enableLocationRequest, getCurrentLocation, watchLocation, distance, clearWatch, Location } from "nativescript-geolocation"; import { isEnabled, enableLocationRequest, getCurrentLocation, watchLocation, distance, clearWatch, Location } from "nativescript-geolocation";
import { stringify } from '@angular/core/src/render3/util';
@Injectable({ @Injectable({
providedIn: 'root' providedIn: 'root'

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@ -11,4 +11,4 @@ var app_module_1 = require("./app/app.module");
// so we provide a wrapper platform object, platformNativeScriptDynamic, // so we provide a wrapper platform object, platformNativeScriptDynamic,
// that sets up a NativeScript application and can bootstrap the Angular framework. // that sets up a NativeScript application and can bootstrap the Angular framework.
platform_1.platformNativeScriptDynamic().bootstrapModule(app_module_1.AppModule); platform_1.platformNativeScriptDynamic().bootstrapModule(app_module_1.AppModule);
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@ -10,7 +10,7 @@ from typing import List
import requests_cache import requests_cache
from flask import Flask, jsonify, logging, request from flask import Flask, jsonify, logging, request
from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing
from .util import Context from .util import Context
app = Flask(__name__) app = Flask(__name__)
@ -29,6 +29,7 @@ strategies = {
"cars_in_traffic": cars_in_traffic.cars_in_traffic, "cars_in_traffic": cars_in_traffic.cars_in_traffic,
"tide": tide_strat.is_tide, "tide": tide_strat.is_tide,
"upstairs_neighbour": upstairs_neighbour.check_games, "upstairs_neighbour": upstairs_neighbour.check_games,
"bing": bing.clock,
} }
@ -77,13 +78,13 @@ def probabilities():
prediction["night"] = not prediction["night"] prediction["night"] = not prediction["night"]
# Calculate contributions of predictions # 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: for prediction in predictions:
# If this prediction agrees with the consensus it contributed prediction["contribution"] = prediction["weight"] / weight_sum
if prediction["night"] == night:
prediction["contribution"] = prediction["weight"] / consensus_weight_sum # If this prediction disagrees with the consensus it contributed negatively
else: if prediction["night"] != night:
prediction["contribution"] = 0.0 prediction["contribution"] *= -1
return jsonify({ return jsonify({
"predictions": predictions, "predictions": predictions,

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@ -0,0 +1,34 @@
from datetime import datetime
import requests
from bs4 import BeautifulSoup
from ..util import Context, Prediction
def clock(context: Context) -> Prediction:
"""
It's nighttime if Bing says it's daytime.
"""
p = Prediction()
p.weight = 0.5
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'}
r = requests.get("https://www.bing.com/search?q=time+in+denmark", headers=headers)
soup = BeautifulSoup(r.content, features='html5lib')
time_str = soup.find("div", {"id": "digit_time"}).text
time = datetime.strptime(time_str, "%H:%M")
night = time.hour < 6 or time.hour >= 22
time_description = "" 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.probability = 1 - p.probability
return p

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@ -48,7 +48,7 @@ def night_on_iss(context: Context) -> Prediction:
break break
iss_time = datetime.now(pytz.timezone(iss_tz)) iss_time = datetime.now(pytz.timezone(iss_tz))
iss_night = 6 < iss_time.hour > 22 iss_night = iss_time.hour < 6 or iss_time.hour >= 22
# iss_night on_iss_time night # iss_night on_iss_time night
# 0 0 1 # 0 0 1

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@ -11,7 +11,7 @@ def camImgStrat(context : Context) -> Prediction:
The contents of the camera image The contents of the camera image
""" """
img = context.image img = context.image
average = img.mean(axis=0).mean(axis=0) average = img.mean()
p = Prediction() p = Prediction()
p.weight = 0.7 p.weight = 0.7
if average < 100: if average < 100:
@ -40,7 +40,11 @@ def australiaStrat(context : Context) -> Prediction:
p.reasons.append('It\'s day-time in Australia') p.reasons.append('It\'s day-time in Australia')
return p return p
def tv2newsStrat(context : Context) -> Prediction: 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') r = requests.get('http://mpx.services.tv2.dk/api/latest')
data = r.json() data = r.json()
publish_dates = [(x['pubDate'])//1000 for x in data][:10] publish_dates = [(x['pubDate'])//1000 for x in data][:10]
@ -61,4 +65,3 @@ def tv2newsStrat(context : Context) -> Prediction:
p.probability = 1.0 if avg_timestamp > 50 else 0.0 p.probability = 1.0 if avg_timestamp > 50 else 0.0
p.reasons.append('There were ' + ('few' if avg_timestamp > 50 else 'many') + ' recent articles on TV2 News') p.reasons.append('There were ' + ('few' if avg_timestamp > 50 else 'many') + ' recent articles on TV2 News')
return p return p

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@ -9,7 +9,7 @@ import numpy as np
@dataclass @dataclass
class Context: class Context:
battery: float = 1.0 battery: int = 100
position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0}) position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0})
image: np.ndarray = None image: np.ndarray = None