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A program #3

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12223cb
theprogram
ts1678 Oct 17, 2025
854a154
add yaml
ts1678 Oct 30, 2025
a66305c
Merge pull request #1 from ts1678/yaml_training
ts1678 Oct 30, 2025
a29c203
Rename some things
ts1678 Oct 30, 2025
40ee91b
good enough
ts1678 Oct 30, 2025
b79cbc4
Merge pull request #2 from ts1678/cleanup
ts1678 Oct 30, 2025
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4 changes: 4 additions & 0 deletions example_tim_data.yaml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
team_num: int
match_num: int
climbed: bool
num_balls: int
54 changes: 54 additions & 0 deletions main.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,54 @@
import pymongo
import yaml
import json
from warnings import warn

client = pymongo.MongoClient("localhost" , 27017)

db = client["tim_data"]

db.team_collection.drop()
db.results_collection.drop()

col = db["team_collection"]
res = db["results_collection"]

with open("example_tim_data.json", "r") as tim_data_file:
data = json.load(tim_data_file)
with open("example_tim_data.yaml", "r") as tim_yaml_file:
yaml_data = yaml.load(tim_yaml_file, yaml.Loader)
for tim_element in data:
for key in tim_element:
if key not in yaml_data:
warn("The Key from the TIM data is not in the YAML!")
continue
if type(tim_element[key]).__name__ != yaml_data[key]:
raise ValueError
col.insert_many(data)

unique_teams = []

for doc in col.find():
if not doc['team_num'] in unique_teams:
unique_teams.append(doc['team_num'])

for team in unique_teams:
this_match_count = 0
most_balls_scored = 0
least_balls_scored = 0
average_balls_scored = 0
percent_climb_success = 0
for i in col.find({'team_num': team}):
this_match_count += 1
percent_climb_success += i["climbed"]
if i["num_balls"] > most_balls_scored:
most_balls_scored = i["num_balls"]
if i["num_balls"] < least_balls_scored or least_balls_scored == 0:
least_balls_scored = i["num_balls"]
average_balls_scored += i["num_balls"]
res.insert_one({"team_number": team,
"average_balls_scored": average_balls_scored/this_match_count,
"least_balls_scored": least_balls_scored,
"most_balls_scored": most_balls_scored,
"number_of_matches_played": this_match_count,
"percent_climb_success": percent_climb_success/this_match_count})