training complete

main.py

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+import pymongo
+import json
+#client = pymongo.MongoClient("localhost", 27017)
+#db = client.scouting_system
+#tims = db.tims
+with open("example_tim_data.json", "r") as f:
+    data = json.load(f)
+#tims.insert_many(data)
+#  find data for each team [{num_balls}]
+#  get num balls scored/climbed for each match
+#  calc avg
+dataforteam = {} #data for each different team
+for tim in data: #loop through each team's data
+    team_number = tim["team_num"]
+    if team_number not in dataforteam: #check if team hasn't been added to dictionary
+        dataforteam[team_number] = [] #creates a key/entry of the team number. creates an empty list as the value
+        dataforteam[team_number].append(tim) #adds the data of the team to the list
+    else:
+        dataforteam[team_number].append(tim) #if the team number is already used it adds new data to a new key
+
+
+def summarizer(list_of_tims):
+    most_scored = 0
+    for tim in list_of_tims: #calculate most scored
+        num_balls = tim["num_balls"]
+        if num_balls > most_scored:
+            most_scored = num_balls
+
+    least_scored = 100000 #super high number
+    for tim in list_of_tims: #calc least scored
+        num_balls = tim["num_balls"]
+        if num_balls < least_scored:
+            least_scored = num_balls 
+
+    total_balls = 0
+    for tim in list_of_tims: #calc average
+        num_balls = tim["num_balls"]
+        total_balls += num_balls
+    average_scored = total_balls/len(list_of_tims)
+
+    total_climbed = 0
+    success_climb = 0
+    for tim in list_of_tims: #calc percent climb success
+        climbed = tim["climbed"]
+        if climbed == True:
+            total_climbed += 1
+            success_climb += 1
+        else:
+            total_climbed += 1
+    percent_climb_success = str(float((success_climb/total_climbed)*100)) + "%"
+
+    return {"most_scored": most_scored, "least_scored": least_scored, "matches_played": len(list_of_tims), "average_scored": average_scored, "percent_climb_success": percent_climb_success} #adds to dictionary
+
+teams = [
+    # {
+    #     #team_num: int
+    #     #Average balls scored (float)
+    #     # Least balls scored (int)
+    #     # Most balls scored (int)
+    #     # Number of matches played (int)
+    #     # Percent climb success (float)
+
+]
+
+for team_id, list_of_tims in dataforteam.items():
+    team_results = summarizer(list_of_tims)
+    print(team_id, team_results)
+    teams.append(team_results)
+
+print(teams)