60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
from django.core.management.base import BaseCommand
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from judge.models import *
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from collections import defaultdict
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import csv
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import os
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from django.conf import settings
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from django.db import connection
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def gen_submissions():
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print("Generating submissions")
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query = """
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SELECT user_id as uid, problem_id as pid from
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(SELECT user_id, problem_id, max(date) as max_date
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from judge_submission
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group by user_id, problem_id) t
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order by user_id, -max_date;
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"""
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with connection.cursor() as cursor:
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cursor.execute(query)
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headers = [i[0] for i in cursor.description]
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with open(
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os.path.join(settings.ML_DATA_PATH, "submissions.csv"), "w"
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) as csvfile:
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f = csv.writer(csvfile)
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f.writerow(headers)
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for row in cursor.fetchall():
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f.writerow(row)
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def gen_users():
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print("Generating users")
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headers = ["uid", "username", "rating", "points"]
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with open(os.path.join(settings.ML_DATA_PATH, "profiles.csv"), "w") as csvfile:
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f = csv.writer(csvfile)
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f.writerow(headers)
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for u in Profile.objects.all().iterator():
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f.writerow([u.id, u.username, u.rating, u.performance_points])
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def gen_problems():
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print("Generating problems")
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headers = ["pid", "code", "name", "points", "url"]
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with open(os.path.join(settings.ML_DATA_PATH, "problems.csv"), "w") as csvfile:
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f = csv.writer(csvfile)
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f.writerow(headers)
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for p in Problem.objects.all().iterator():
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f.writerow(
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[p.id, p.code, p.name, p.points, "lqdoj.edu.vn/problem/" + p.code]
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)
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class Command(BaseCommand):
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help = "generate data for ML"
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def handle(self, *args, **options):
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gen_users()
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gen_problems()
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gen_submissions()
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