slacker 2.0

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SowinskiBraeden committed 2025-04-26 12:40:24 -07:00
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#!/usr/bin/env python3
from typing import List, Dict
import json
from prettytable import PrettyTable
import os, shutil
from datetime import datetime
def pretty_table(dct: Dict, title: str, add: str="") -> None:
table = PrettyTable()
for c in dct.keys():
table.add_column(c, [])
table.add_row(['\n'.join(dct[c]) for c in dct.keys()])
table.align = "l"
with open(f"./boards/{title}.txt", "a") as file:
if add != "":
file.write(f"{add}\n")
file.write(table.__str__())
file.write("\n\n")
def setupDir() -> None:
if not os.path.exists("./boards"):
os.makedirs("./boards")
folder = './boards'
for filename in os.listdir(folder):
file_path = os.path.join(folder, filename)
try:
if os.path.isfile(file_path) or os.path.islink(file_path):
os.unlink(file_path)
elif os.path.isdir(file_path):
shutil.rmtree(file_path)
except Exception as e:
print('Failed to delete %s. Reason: %s' % (file_path, e))
def main() -> None:
# This is sooooo poorly written with this dumb structure but oh well
def generateLeaderboards(teams: List[Dict]) -> None:
date = datetime.today().strftime('%Y-%m-%d %H:%M:%S')
teams: List[Dict[str, str|List]] = {}
with open("teams.json", "r") as file:
teams = json.load(file)
# Empty leaderboard structures
projects_per_campus: Dict[str, List] = {
"title": "Largest Project per Campus",
"boards": [
{
"title": "Burnaby Campus",
"headers": [
"Rank",
"Team",
"Size",
"Commits"
],
"entries": []
},
{
"title": "Downtown Campus",
"headers": [
"Rank",
"Team",
"Size",
"Commits"
],
"entries": []
}
],
"updatedAt": date
}
projects_all_time: Dict[str, List] = {
"title": "Largets Project of All",
"boards": [
{
"title": "",
"headers": [
"Rank",
"Team",
"Size",
"Commits"
],
"entries": []
}
],
"updatedAt": date
}
contributors_per_campus: Dict[str, List] = {
"title": "Top Contributor per Campus",
"boards": [
{
"title": "Burnaby Campus",
"headers": [
"Rank",
"Author",
"Added",
"Deleted",
"Actual",
"Commits"
],
"entries": []
},
{
"title": "Downtown Campus",
"headers": [
"Rank",
"Author",
"Added",
"Deleted",
"Actual",
"Commits"
],
"entries": []
}
],
"updatedAt": date
}
contributors_per_project: Dict[str, List] = {
"title": "Top Contributor per Project",
"boards": [], # Generated later
"updatedAt": date
}
tracked_teams: int = 0
teams_in_project: Dict[str, int] = {} # keep track of teams added to contributors_per_project
contributors_all_time: Dict[str, List] = {
"title": "Top Contributor of All",
"boards": [
{
"title": "",
"headers": [
"Rank",
"Author",
"Added",
"Deleted",
"Actual",
"Commits"
],
"entries": []
}
],
"updatedAt": date
}
projects_per_campus = {
"Burnaby": [],
"Downtown": []
}
projects_per_set = {
"A": [],
"B": [],
"C": [],
"D": [],
"E": [],
"F": []
}
projects_all_time = []
contributors_per_campus = {
"Burnaby": [],
"Downtown": []
}
contributors_per_set = {
"A": [],
"B": [],
"C": [],
"D": [],
"E": [],
"F": []
}
contributors_per_project = {}
contributors_all_time = []
# === Populate leaderboards === #
for team in teams:
added, deleted, commits = 0, 0, 0
for author in team["contributors"]:
added += author["added"]
added += author["added"]
deleted += author["deleted"]
commits += author["commits"]
author["contributed"] = author["added"] - author["deleted"]
author["actual"] = author["added"] - author["deleted"]
authorEntry: List[any] = [
None, author["author"], author["added"], author["deleted"], author["actual"], author["commits"]
]
campus: int = 0 if "BBY" in team["team"] else 1
contributors_per_campus["boards"][campus]["entries"].append(authorEntry)
contributors_per_campus[team["campus"]].append(author)
contributors_per_set[team["set"]].append(author)
if team["team"] not in teams_in_project:
teams_in_project[team["team"]] = tracked_teams
tracked_teams += 1
contributors_per_project["boards"].append({
"title": team["team"],
"headers": [
"Rank",
"Author",
"Added",
"Deleted",
"Actual",
"Commits"
],
"entries": []
})
if team["id"] not in contributors_per_project:
contributors_per_project[team["id"]] = []
contributors_per_project[team["id"]].append(author)
contributors_per_project["boards"][teams_in_project[team["team"]]]["entries"].append(authorEntry)
contributors_all_time.append(author)
contributors_all_time["boards"][0]["entries"].append(authorEntry)
size = added - deleted
project = {
"team": team["id"],
"size": size,
"added": added,
"deleted": deleted,
"commits": commits
}
projects_per_campus[team["campus"]].append(project)
projects_per_set[team["set"]].append(project)
projects_all_time.append(project)
#######################################################################
# Largest project per campus
for campus in projects_per_campus:
filtered = sorted(projects_per_campus[campus], key=lambda d: d['size'], reverse=True)
projectEntry: List[str|int] = [
None,
team["team"],
size,
commits
]
data = {
"Rank": [],
"Team": [],
"Size": []
}
campus: int = 0 if "BBY" in team["team"] else 1
projects_per_campus["boards"][campus]["entries"].append(projectEntry)
projects_all_time["boards"][0]["entries"].append(projectEntry)
rank = 0
for project in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Team"].append(project["team"])
data["Size"].append(str(project["size"]))
pretty_table(data, "LargestProjectsPerCampus", f"{campus} Campus - Updated at {date}")
# === Sort leaderboards and write to JSON === #
# Largest project per set
for set in projects_per_set:
filtered = sorted(projects_per_set[set], key=lambda d: d['size'], reverse=True)
# Project per Campus
for campus in range(len(projects_per_campus["boards"])):
filtered = sorted(projects_per_campus["boards"][campus]["entries"], key=lambda e: e[2], reverse=True)
for i in range(len(filtered)):
filtered[i][0] = i + 1
projects_per_campus["boards"][campus]["entries"] = filtered
with open("boards/LargestProjectsPerCampus.json", "w") as file:
json.dump(projects_per_campus, file, indent=2)
# Projects all time
filtered = sorted(projects_all_time["boards"][0]["entries"], key=lambda e: e[2], reverse=True)
for i in range(len(filtered)):
filtered[i][0] = i + 1
projects_all_time["boards"][0]["entries"] = filtered
with open("boards/LargestProjectAllTeams.json", "w") as file:
json.dump(projects_all_time, file, indent=2)
# Contributor per Campus
for campus in range(len(contributors_per_campus["boards"])):
filtered = sorted(contributors_per_campus["boards"][campus]["entries"], key=lambda e: e[2], reverse=True)
for i in range(len(filtered)):
filtered[i][0] = i + 1
data = {
"Rank": [],
"Team": [],
"Size": []
}
contributors_per_campus["boards"][campus]["entries"] = filtered
rank = 0
for project in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Team"].append(project["team"])
data["Size"].append(str(project["size"]))
with open("boards/TopContributorPerCampus.json", "w") as file:
json.dump(contributors_per_campus, file, indent=2)
pretty_table(data, "LargestProjectPerSet", f"Set {set} - Updated at {date}")
# Contributor per Project
for project in range(len(contributors_per_project["boards"])):
filtered = sorted(contributors_per_project["boards"][project]["entries"], key=lambda e: e[2], reverse=True)
for i in range(len(filtered)):
filtered[i][0] = i + 1
# Largest project of all
filtered = sorted(projects_all_time, key=lambda d: d['size'], reverse=True)
data = {
"Rank": [],
"Team": [],
"Size": []
}
contributors_per_project["boards"][project]["entries"] = filtered
rank = 0
for project in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Team"].append(project["team"])
data["Size"].append(str(project["size"]))
with open("boards/TopContributorsPerTeam.json", "w") as file:
json.dump(contributors_per_project, file, indent=2)
pretty_table(data, "LargestProjectAllTeams", f"Updated at {date}")
# Contributor all time
filtered = sorted(contributors_all_time["boards"][0]["entries"], key=lambda e: e[2], reverse=True)
for i in range(len(filtered)):
filtered[i][0] = i + 1
contributors_all_time["boards"][0]["entries"] = filtered
# Contributors ranker per campus
for campus in contributors_per_campus:
filtered = sorted(contributors_per_campus[campus], key=lambda d: d['added'], reverse=True)
data = {
"Rank": [],
"Author": [],
"Added": [],
"Deleted": [],
"Actual": [],
"Commits": [],
}
with open("boards/TopContributorsAllTime.json", "w") as file:
json.dump(contributors_all_time, file, indent=2)
rank = 0
for author in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Author"].append(author['author'])
data["Commits"].append(str(author['commits']))
data["Added"].append(f"+{author['added']}")
data["Deleted"].append(f"-{author['deleted']}")
data["Actual"].append(str(author['contributed']))
def main() -> None:
with open("teams.json", "r") as file:
teams: List[Dict] = json.load(file)
pretty_table(data, "TopContributorPerCampus", f"{campus} Campus - Updated at {date}")
# Contributors ranked per set
for set in contributors_per_set:
filtered = sorted(contributors_per_set[set], key=lambda d: d['added'], reverse=True)
data = {
"Rank": [],
"Author": [],
"Added": [],
"Deleted": [],
"Actual": [],
"Commits": [],
}
rank = 0
for author in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Author"].append(author['author'])
data["Commits"].append(str(author['commits']))
data["Added"].append(f"+{author['added']}")
data["Deleted"].append(f"-{author['deleted']}")
data["Actual"].append(str(author['contributed']))
pretty_table(data, "TopContributorPerSet", f"Set {set} - Updated at {date}")
# Contributors ranked per Team
for project in contributors_per_project:
filtered = sorted(contributors_per_project[project], key=lambda d: d['added'], reverse=True)
data = {
"Rank": [],
"Author": [],
"Added": [],
"Deleted": [],
"Actual": [],
"Commits": [],
}
rank = 0
for author in filtered:
rank += 1
data["Rank"].append(str(rank))
data["Author"].append(author['author'])
data["Commits"].append(str(author['commits']))
data["Added"].append(f"+{author['added']}")
data["Deleted"].append(f"-{author['deleted']}")
data["Actual"].append(str(author['contributed']))
pretty_table(data, "TopContributorsPerTeam", f"{project} - Updated at {date}");
# Contributors ranked all time
contributors_all_time = sorted(contributors_all_time, key=lambda d: d['added'], reverse=True)
data = {
"Rank": [],
"Author": [],
"Added": [],
"Deleted": [],
"Actual": [],
"Commits": [],
}
rank = 0
for author in contributors_all_time:
rank += 1
data["Rank"].append(str(rank))
data["Author"].append(author['author'])
data["Actual"].append(str(author["contributed"]))
data["Added"].append(f"+{author['added']}")
data["Deleted"].append(f"-{author['deleted']}")
data["Commits"].append(str(author['commits']))
pretty_table(data, "TopContributorsAllTime", f"Updated at {date}")
generateLeaderboards(teams)
if __name__ == "__main__":
setupDir()
main()