Finished merging

This commit is contained in:
Viktor Søndergaard 2019-04-06 20:41:21 +02:00
commit e63fce456f
18 changed files with 188 additions and 24 deletions

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@ -3776,6 +3776,14 @@
"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": {
"version": "0.9.0",
"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/router": "~7.2.0",
"nativescript-angular": "~7.2.0",
"nativescript-camera": "^4.4.0",
"nativescript-geolocation": "^5.0.0",
"nativescript-powerinfo": "^1.0.7",
"nativescript-theme-core": "~1.0.4",

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@ -6,6 +6,9 @@
<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>

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@ -5,6 +5,7 @@ import { AppComponent } from "./app.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';
// Uncomment and add to NgModule imports if you need to use two-way binding
// import { NativeScriptFormsModule } from "nativescript-angular/forms";
@ -24,6 +25,7 @@ import { MyLocationButtonComponent } from './component/locationButton/locationBu
AppComponent,
MyLocationButtonComponent,
MyButtonComponent,
CameraButtonComponent,
],
providers: [],
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 { isEnabled, enableLocationRequest, getCurrentLocation, watchLocation, distance, clearWatch, Location } from "nativescript-geolocation";
import { stringify } from '@angular/core/src/render3/util';
@Injectable({
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,
// that sets up a NativeScript application and can bootstrap the Angular framework.
platform_1.platformNativeScriptDynamic().bootstrapModule(app_module_1.AppModule);
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@ -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
from .strategies import miloStrats, iss, cars_in_traffic, tide_strat, upstairs_neighbour, bing
from .util import Context
app = Flask(__name__)
@ -29,23 +29,30 @@ strategies = {
"cars_in_traffic": cars_in_traffic.cars_in_traffic,
"tide": tide_strat.is_tide,
"upstairs_neighbour": upstairs_neighbour.check_games,
"bing": bing.clock,
}
@app.route("/", methods=["GET", "POST"])
def probabilities():
phone_data = request.get_json(force=True)
context = Context(**phone_data)
logger.debug("phone_data:\n%s", json.dumps(phone_data, indent=2))
logger.debug("Context: %s", context)
if request.method == "GET":
logger.warning("GET request: using default context parameters")
context = Context()
else:
phone_data = request.get_json(force=True)
logger.debug("phone_data:\n%s", json.dumps(phone_data, indent=2))
context = Context(**phone_data["data"])
#logger.debug("Context: %s", context)
predictions: List[dict] = []
for name, strategy in strategies.items():
try:
logger.debug("Executing %s..", name)
start = timeit.default_timer()
prediction = strategy(context)
stop = timeit.default_timer()
logger.debug("Execution time for %s: %ss", name, stop - start)
logger.debug("Execution time for %s: %ss", name, round(stop - start, 3 ))
except Exception as e:
logger.warning("Strategy '%s' failed:", name)
logger.exception(e)

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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
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
# 0 0 1

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@ -1,11 +1,45 @@
import requests
from bs4 import BeautifulSoup
from datetime import datetime, timedelta
import requests_cache
from ..util import Context, Prediction
requests_cache.install_cache("requests_cache", expire_after=timedelta(minutes=10))
def is_restaurant_open(name):
r = requests.get("https://www.just-eat.dk/area/8000-%C3%A5rhusc")
def is_restaurant_open(name, open, close) -> Prediction:
p = Prediction()
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.just-eat.dk/area/8000-århusc", headers=headers)
soup = BeautifulSoup(r.content, features='html5lib')
listing_groups = soup.find_all('div', {'class': 'listing-group'})
print(soup.find('div', {'data-test-id': 'listingGroupOpen'}))
p.reasons.append("Hopefully we are not banned from Just-eat ..")
is_restaurant_open("stop2shop")
nice_group = None
for x in listing_groups:
if x['data-test-id'] == 'listingGroupOpen':
nice_group = x
if nice_group is None:
p.reasons.append("Apparently we are banned from just-eat. We therefore have no clue.")
p.probability = 0.5
return p
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.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.probability = 1 - (1 / 11)
return p
def do_just_eat_strat(context: Context) -> Prediction:
return is_restaurant_open('stop2shop', 12, 23)

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@ -1,8 +1,6 @@
from datetime import datetime
from pathlib import Path
import requests
import cv2
import requests
from pytz import timezone
from ..util import Context, Prediction
@ -12,12 +10,11 @@ def camImgStrat(context : Context) -> Prediction:
"""
The contents of the camera image
"""
img = cv2.imread(str(Path(__file__).parent.joinpath("night.jpg")), 0)
average = img.mean(axis=0).mean(axis=0)
img = context.image
average = img.mean()
p = Prediction()
p.weight = 0.7
if average < 100:
if average < 100:
p.probability = 1.0
p.reasons.append('Image was dark')
else:
@ -43,7 +40,11 @@ def australiaStrat(context : Context) -> Prediction:
p.reasons.append('It\'s day-time in Australia')
return p
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]
@ -64,4 +65,3 @@ def tv2newsStrat(context : Context) -> Prediction:
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')
return p

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@ -50,7 +50,7 @@ def is_tide(context: Context) -> Prediction:
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

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@ -1,16 +1,30 @@
import base64
from dataclasses import dataclass, field
from pathlib import Path
from typing import List, Dict
import cv2
import numpy as np
@dataclass
class Context:
battery: float = 1.0
battery: int = 100
position: Dict[str, float] = field(default_factory=lambda: {'latitude': 53.0, 'longitude': 9.0})
image: np.ndarray = None
# App settings
in_australia: bool = False
flat_earth: bool = False
def __post_init__(self):
if self.image is None: # no image given
self.image = cv2.imread(str(Path(__file__).parent.joinpath("gray.png")))
else:
img_original = base64.b64decode(self.image)
img_as_np = np.frombuffer(img_original, dtype=np.uint8)
self.image = cv2.imdecode(img_as_np, flags=1)
@dataclass
class Prediction: