NDOJ/judge/utils/problems.py

from collections import defaultdict
from math import e
import os, zipfile
from datetime import datetime
import random

from django.conf import settings
from django.core.cache import cache
from django.db.models import Case, Count, ExpressionWrapper, F, Max, Q, When
from django.db.models.fields import FloatField
from django.utils import timezone
from django.utils.translation import gettext as _, gettext_noop

from judge.models import Problem, Submission
from judge.ml.collab_filter import CollabFilter


__all__ = [
    "contest_completed_ids",
    "get_result_data",
    "user_completed_ids",
    "user_editable_ids",
    "user_tester_ids",
]


def user_tester_ids(profile):
    return set(
        Problem.testers.through.objects.filter(profile=profile).values_list(
            "problem_id", flat=True
        )
    )


def user_editable_ids(profile):
    result = set(
        (
            Problem.objects.filter(authors=profile)
            | Problem.objects.filter(curators=profile)
        ).values_list("id", flat=True)
    )
    return result


def contest_completed_ids(participation):
    key = "contest_complete:%d" % participation.id
    result = cache.get(key)
    if result is None:
        result = set(
            participation.submissions.filter(
                submission__result="AC", points=F("problem__points")
            )
            .values_list("problem__problem__id", flat=True)
            .distinct()
        )
        cache.set(key, result, 86400)
    return result


def user_completed_ids(profile):
    key = "user_complete:%d" % profile.id
    result = cache.get(key)
    if result is None:
        result = set(
            Submission.objects.filter(
                user=profile, result="AC", points=F("problem__points")
            )
            .values_list("problem_id", flat=True)
            .distinct()
        )
        cache.set(key, result, 86400)
    return result


def contest_attempted_ids(participation):
    key = "contest_attempted:%s" % participation.id
    result = cache.get(key)
    if result is None:
        result = {
            id: {"achieved_points": points, "max_points": max_points}
            for id, max_points, points in (
                participation.submissions.values_list(
                    "problem__problem__id", "problem__points"
                )
                .annotate(points=Max("points"))
                .filter(points__lt=F("problem__points"))
            )
        }
        cache.set(key, result, 86400)
    return result


def user_attempted_ids(profile):
    key = "user_attempted:%s" % profile.id
    result = cache.get(key)
    if result is None:
        result = {
            id: {
                "achieved_points": points,
                "max_points": max_points,
                "last_submission": last_submission,
                "code": problem_code,
                "name": problem_name,
            }
            for id, max_points, problem_code, problem_name, points, last_submission in (
                Submission.objects.filter(user=profile)
                .values_list(
                    "problem__id", "problem__points", "problem__code", "problem__name"
                )
                .annotate(points=Max("points"), last_submission=Max("id"))
                .filter(points__lt=F("problem__points"))
            )
        }
        cache.set(key, result, 86400)
    return result


def _get_result_data(results):
    return {
        "categories": [
            # Using gettext_noop here since this will be tacked into the cache, so it must be language neutral.
            # The caller, SubmissionList.get_result_data will run ugettext on the name.
            {"code": "AC", "name": gettext_noop("Accepted"), "count": results["AC"]},
            {"code": "WA", "name": gettext_noop("Wrong"), "count": results["WA"]},
            {
                "code": "CE",
                "name": gettext_noop("Compile Error"),
                "count": results["CE"],
            },
            {"code": "TLE", "name": gettext_noop("Timeout"), "count": results["TLE"]},
            {
                "code": "ERR",
                "name": gettext_noop("Error"),
                "count": results["MLE"]
                + results["OLE"]
                + results["IR"]
                + results["RTE"]
                + results["AB"]
                + results["IE"],
            },
        ],
        "total": sum(results.values()),
    }


def get_result_data(*args, **kwargs):
    if args:
        submissions = args[0]
        if kwargs:
            raise ValueError(_("Can't pass both queryset and keyword filters"))
    else:
        submissions = (
            Submission.objects.filter(**kwargs)
            if kwargs is not None
            else Submission.objects
        )
    raw = (
        submissions.values("result")
        .annotate(count=Count("result"))
        .values_list("result", "count")
    )
    return _get_result_data(defaultdict(int, raw))


def editable_problems(user, profile=None):
    subquery = Problem.objects.all()
    if profile is None:
        profile = user.profile
    if not user.has_perm("judge.edit_all_problem"):
        subfilter = Q(authors__id=profile.id) | Q(curators__id=profile.id)
        if user.has_perm("judge.edit_public_problem"):
            subfilter |= Q(is_public=True)
        subquery = subquery.filter(subfilter)
    return subquery


def hot_problems(duration, limit):
    cache_key = "hot_problems:%d:%d" % (duration.total_seconds(), limit)
    qs = cache.get(cache_key)
    if qs is None:
        qs = Problem.get_public_problems().filter(
            submission__date__gt=timezone.now() - duration
        )
        qs0 = (
            qs.annotate(k=Count("submission__user", distinct=True))
            .order_by("-k")
            .values_list("k", flat=True)
        )

        if not qs0:
            return []
        # make this an aggregate
        mx = float(qs0[0])

        qs = qs.annotate(unique_user_count=Count("submission__user", distinct=True))
        # fix braindamage in excluding CE
        qs = qs.annotate(
            submission_volume=Count(
                Case(
                    When(submission__result="AC", then=1),
                    When(submission__result="WA", then=1),
                    When(submission__result="IR", then=1),
                    When(submission__result="RTE", then=1),
                    When(submission__result="TLE", then=1),
                    When(submission__result="OLE", then=1),
                    output_field=FloatField(),
                )
            )
        )
        qs = qs.annotate(
            ac_volume=Count(
                Case(
                    When(submission__result="AC", then=1),
                    output_field=FloatField(),
                )
            )
        )
        qs = qs.filter(unique_user_count__gt=max(mx / 3.0, 1))

        qs = (
            qs.annotate(
                ordering=ExpressionWrapper(
                    0.02
                    * F("points")
                    * (
                        0.4 * F("ac_volume") / F("submission_volume")
                        + 0.6 * F("ac_rate")
                    )
                    + 100 * e ** (F("unique_user_count") / mx),
                    output_field=FloatField(),
                )
            )
            .order_by("-ordering")
            .defer("description")[:limit]
        )

        cache.set(cache_key, qs, 900)
    return qs


def get_related_problems(profile, problem, limit=8):
    if not profile or not settings.ML_OUTPUT_PATH:
        return None
    cache_key = "related_problems:%d:%d" % (profile.id, problem.id)
    qs = cache.get(cache_key)
    if qs is not None:
        return qs
    problemset = Problem.get_visible_problems(profile.user).values_list("id", flat=True)
    problemset = problemset.exclude(id__in=user_completed_ids(profile))
    problemset = problemset.exclude(id=problem.id)
    cf_model = CollabFilter("collab_filter")
    results = cf_model.problem_neighbors(
        problem, problemset, CollabFilter.DOT, limit
    ) + cf_model.problem_neighbors(problem, problemset, CollabFilter.COSINE, limit)
    results = list(set([i[1] for i in results]))
    seed = datetime.now().strftime("%d%m%Y")
    random.Random(seed).shuffle(results)
    results = results[:limit]
    results = [Problem.objects.get(id=i) for i in results]
    cache.set(cache_key, results, 21600)
    return results