complete mensa async

fetchDUALIS.py

@@ -1,4 +1,3 @@
-import requests
 import urllib.parse
 import time
 from bs4 import BeautifulSoup
@@ -59,7 +58,7 @@ async def getKurs(token: int, cookie: str):
                                    headers=headers)
             html = BeautifulSoup(response.text, 'lxml')
             link = html.body.find('a', attrs={'id': "Popup_details0001"})['href']
-            response = requests.request("GET", url + link[21:], headers=headers, data={})
+            response = await s.get(url=f"{url}{link[21:]}", headers=headers)
             html = BeautifulSoup(response.text, 'lxml')
             content = html.body.find('td', attrs={'class': 'level02'}).text
             start = content.find(" ") + 4

fetchMENSA.py

@@ -1,8 +1,8 @@
 import json
 from init import db, Meals#, scheduler
 import datetime
-import requests
 import time
+import httpx
 
 nomeal = 'Essen nicht (mehr) verfügbar'
 
@@ -26,7 +26,7 @@ def getMeals(day: datetime):
     return getMealsFromAPI(day, dbentry=True)
 
 
-def getMealsFromAPI(day: str, dbentry: bool = False):
+async def getMealsFromAPI(day: str, dbentry: bool = False):
     """
     Fragt die Mensa-API nach den Mahlzeiten eines Tages ab. \n
     Wenn dbentry: Schreibt die Ergebnisse in die Datenbank. \n
@@ -35,46 +35,46 @@ def getMealsFromAPI(day: str, dbentry: bool = False):
     :param dbentry:
     :return [Name1, Name2, ...]:
     """
-    url = "https://dh-api.paulmartin.cloud/plans/" + day + "?canteens=erzberger"
-    response = requests.request("GET", url)
-    response = response.content
-    jres = json.loads(response.decode("utf-8"))
-    essen = []
-    try:
-        num = len(jres["data"][0]["lines"])
-        for i in range(num):
-            try:
-                jsmeal = jres["data"][0]["lines"][i]["meals"]
-                cont = True
-            except IndexError:
-                essen = []
-                cont = False
-            if cont:
-                for e in range(len(jsmeal)):
-                    ji = jsmeal[e]
-                    name = ji["name"]
-                    if pricetofloat(ji["price"]) >= 1.1:
-                        vegan = ji["classifiers"].count("VG") == 1
-                        schwein = ji["classifiers"].count("S") == 1
-                        if vegan:
-                            veget = True
-                        else:
-                            veget = ji["classifiers"].count("VEG") == 1
-                            if veget:
-                                if name.count("Reibekäse") > 0:
-                                    vegan = True
+    async with httpx.AsyncClient() as s:
+        response = await s.get(url=f"https://dh-api.paulmartin.cloud/plans/{day}?canteens=erzberger")
+        response = response.content
+        jres = json.loads(response.decode("utf-8"))
+        essen = []
+        try:
+            num = len(jres["data"][0]["lines"])
+            for i in range(num):
+                try:
+                    jsmeal = jres["data"][0]["lines"][i]["meals"]
+                    cont = True
+                except IndexError:
+                    essen = []
+                    cont = False
+                if cont:
+                    for e in range(len(jsmeal)):
+                        ji = jsmeal[e]
+                        name = ji["name"]
+                        if pricetofloat(ji["price"]) >= 1.1:
+                            vegan = ji["classifiers"].count("VG") == 1
+                            schwein = ji["classifiers"].count("S") == 1
+                            if vegan:
+                                veget = True
+                            else:
+                                veget = ji["classifiers"].count("VEG") == 1
+                                if veget:
+                                    if name.count("Reibekäse") > 0:
+                                        vegan = True
 
-                        essen += [name]
-                        if dbentry:
-                            mid = int(time.time() * 1000) % 100000
-                            neu = Meals(date=day, name=name, id=mid, vegan=vegan, vegetarian=veget, schwein=schwein)
-                            db.session.add(neu)
-                            db.session.commit()
-        if not essen:
+                            essen += [name]
+                            if dbentry:
+                                mid = int(time.time() * 1000) % 100000
+                                neu = Meals(date=day, name=name, id=mid, vegan=vegan, vegetarian=veget, schwein=schwein)
+                                db.session.add(neu)
+                                db.session.commit()
+            if not essen:
+                essen = [nomeal]
+        except KeyError:
             essen = [nomeal]
-    except KeyError:
-        essen = [nomeal]
-    return essen
+        return essen
 
 
 def pricetofloat(price: str):