2021-09-11 04:12:08 +00:00
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""" instance overview """
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from datetime import timedelta
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2021-09-11 15:47:16 +00:00
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from dateutil.parser import parse
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2021-09-11 04:12:08 +00:00
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from django.contrib.auth.decorators import login_required, permission_required
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2021-09-11 16:31:11 +00:00
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from django.db.models import Q
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2021-09-11 04:12:08 +00:00
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from django.template.response import TemplateResponse
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from django.utils import timezone
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from django.utils.decorators import method_decorator
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from django.views import View
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from bookwyrm import models
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# pylint: disable= no-self-use
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@method_decorator(login_required, name="dispatch")
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@method_decorator(
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permission_required("bookwyrm.moderate_user", raise_exception=True),
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name="dispatch",
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)
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class Dashboard(View):
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"""admin overview"""
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def get(self, request):
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"""list of users"""
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2021-09-11 15:47:16 +00:00
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interval = int(request.GET.get("days", 1))
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2021-09-11 04:12:08 +00:00
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now = timezone.now()
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2021-09-11 15:47:16 +00:00
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start = request.GET.get("start")
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if start:
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start = timezone.make_aware(parse(start))
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else:
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start = now - timedelta(days=6 * interval)
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end = request.GET.get("end")
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end = timezone.make_aware(parse(end)) if end else now
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start = start.replace(hour=0, minute=0, second=0)
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2021-09-11 15:47:16 +00:00
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2021-10-04 17:40:39 +00:00
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user_queryset = models.User.objects.filter(local=True)
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user_chart = Chart(
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queryset=user_queryset,
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queries={
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"total": lambda q, s, e: q.filter(
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Q(is_active=True) | Q(deactivation_date__gt=e),
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created_date__lte=e,
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).count(),
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"active": lambda q, s, e: q.filter(
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Q(is_active=True) | Q(deactivation_date__gt=e),
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created_date__lte=e,
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2021-10-04 18:16:02 +00:00
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)
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.filter(
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last_active_date__gt=e - timedelta(days=31),
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)
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.count(),
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},
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)
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2021-10-04 17:40:39 +00:00
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status_queryset = models.Status.objects.filter(user__local=True, deleted=False)
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status_chart = Chart(
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queryset=status_queryset,
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queries={
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"total": lambda q, s, e: q.filter(
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created_date__gt=s,
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created_date__lte=e,
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2021-09-11 14:09:05 +00:00
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).count()
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},
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)
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2021-09-11 04:12:08 +00:00
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2021-10-04 17:42:02 +00:00
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register_chart = Chart(
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queryset=user_queryset,
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queries={
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"total": lambda q, s, e: q.filter(
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created_date__gt=s,
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created_date__lte=e,
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).count()
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},
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)
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2021-10-04 18:14:50 +00:00
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works_chart = Chart(
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queryset=models.Work.objects,
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queries={
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"total": lambda q, s, e: q.filter(
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created_date__gt=s,
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created_date__lte=e,
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).count()
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},
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)
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data = {
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"start": start.strftime("%Y-%m-%d"),
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"end": end.strftime("%Y-%m-%d"),
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"interval": interval,
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2021-09-11 16:31:11 +00:00
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"users": user_queryset.filter(is_active=True).count(),
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"active_users": user_queryset.filter(
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is_active=True, last_active_date__gte=now - timedelta(days=31)
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2021-09-11 04:12:08 +00:00
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).count(),
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"statuses": status_queryset.count(),
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"works": models.Work.objects.count(),
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"reports": models.Report.objects.filter(resolved=False).count(),
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2022-01-13 18:59:52 +00:00
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"pending_domains": models.LinkDomain.objects.filter(
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status="pending"
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).count(),
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"invite_requests": models.InviteRequest.objects.filter(
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ignored=False, invite_sent=False
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).count(),
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2021-10-04 17:40:39 +00:00
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"user_stats": user_chart.get_chart(start, end, interval),
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"status_stats": status_chart.get_chart(start, end, interval),
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2021-10-04 17:42:02 +00:00
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"register_stats": register_chart.get_chart(start, end, interval),
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2021-10-04 18:14:50 +00:00
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"works_stats": works_chart.get_chart(start, end, interval),
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2021-09-11 04:12:08 +00:00
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}
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2021-09-28 19:39:52 +00:00
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return TemplateResponse(request, "settings/dashboard/dashboard.html", data)
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2021-10-04 17:40:39 +00:00
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class Chart:
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2021-10-04 18:16:02 +00:00
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"""Data for a chart"""
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2021-10-04 17:40:39 +00:00
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def __init__(self, queryset, queries: dict):
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self.queryset = queryset
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self.queries = queries
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def get_chart(self, start, end, interval):
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"""load the data for the chart given a time scale and interval"""
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interval_start = start
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interval_end = interval_start + timedelta(days=interval)
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chart = {k: [] for k in self.queries.keys()}
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chart["labels"] = []
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while interval_start <= end:
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for (name, query) in self.queries.items():
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chart[name].append(query(self.queryset, interval_start, interval_end))
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chart["labels"].append(interval_start.strftime("%b %d"))
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interval_start = interval_end
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interval_end += timedelta(days=interval)
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return chart
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