Add data analysis, mongoDB doesn't work

code.py

@@ -0,0 +1,54 @@
+from statistics import mean
+import pymongo
+from pymongo.collection import Collection
+import json
+#setup
+'''
+client = pymongo.MongoClient("mongodb+srv://eshel:eshel2007@cluster0.qdsghtg.mongodb.net/assignment1")
+print("client done")
+db = client["assignment1"]
+tim: Collection = db["tim"]
+team_data = db["team_data"]
+'''
+with open("MongoDB-Assignment\example_tim_data.json") as f:
+    data = json.load(f)
+
+print("json open done")
+###tim.insert_many(data)
+print("setup done")
+#class
+class Team():
+    def __init__(self, team_number):
+        self.team_number = int(team_number)
+    def average_balls_scored(self):
+        return mean([x["num_balls"] for x in data if x["team_num"]==self.team_number])
+    def least_balls_scored(self):
+        return min([x["num_balls"] for x in data if x["team_num"]==self.team_number])
+    def most_balls_scored(self):
+        return max([x["num_balls"] for x in data if x["team_num"]==self.team_number])
+    def number_of_matches_played(self):
+        return len([x["num_balls"] for x in data if x["team_num"]==self.team_number])
+    def percent_climb_sucess(self):
+        climbs=[]
+        for x in data:
+            if x["team_num"]==self.team_number:
+                climbs.append(int(x["climbed"]))
+        return mean(climbs)
+print("team def done")
+list_of_teams =[]
+for match in data:
+    if match["team_num"] not in list_of_teams:
+        list_of_teams.append(match["team_num"])
+teams=[]
+for team in list_of_teams:
+    tm = Team(team)
+    teams.append({
+        "team":tm,
+        "team_num":tm.team_number,
+        "average_balls_scored":tm.average_balls_scored(),
+        "least_balls_scored":tm.least_balls_scored(),
+        "most_balls_scored": tm.most_balls_scored(),
+        "number_of_matches_played": tm.number_of_matches_played(),
+        "percent_climb_success": tm.percent_climb_sucess()})
+print(teams)
+#team_data.insert_many(teams)