Just eat strat

server/nightr/strategies/just_eat.py

@@ -3,15 +3,43 @@ 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):
+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')
-    print(soup.prettify())
-    print(soup.find('div', {'class': 'listing-group'}))
+    listing_groups = soup.find_all('div', {'class': 'listing-group'})
 
-is_restaurant_open("lel")
+    p.reasons.append("Hopefully we are not banned from Just-eat ..")
+
+    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)

server/nightr/strategies/tide_strat.py

@@ -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