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seeder

django_spire.metric.domain.statistic.seeding.seeder

VALUE_REFERENCES = ['/home/', '/dashboard/', '/contact/', '/pricing/'] module-attribute

StatisticGroupSeeder

Bases: Seeder

Source code in django_spire/contrib/seeding/seeder.py 
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def __init__(self, count: int = 1, verbose: bool = True) -> None:
    self.seeds: list[Seed] = []
    self._model_object_ids: list[int | str] = []
    self._count: int = count
    self.verbose: bool = verbose

model_class = StatisticGroup class-attribute instance-attribute

fields_seeds = {'id': Seeder.exclude(), 'created_datetime': Seeder.fake.date_time_between(start_date='-30d', end_date='now'), 'domain_id': Seeder.model.ordered_queryset_foreign_key(Domain.objects.all(), wrap=True), 'name': Seeder.ordered.choice([seed['name'] for seed in GROUP_SEEDS], wrap=True), 'description': Seeder.ordered.choice([seed['description'] for seed in GROUP_SEEDS], wrap=True), 'is_active': Seeder.static(True), 'is_deleted': Seeder.static(False)} class-attribute instance-attribute

StatisticSeeder

Bases: Seeder

Source code in django_spire/contrib/seeding/seeder.py 
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def __init__(self, count: int = 1, verbose: bool = True) -> None:
    self.seeds: list[Seed] = []
    self._model_object_ids: list[int | str] = []
    self._count: int = count
    self.verbose: bool = verbose

model_class = Statistic class-attribute instance-attribute

fields_seeds = {'id': Seeder.exclude(), 'created_datetime': Seeder.fake.date_time_between(start_date='-30d', end_date='now'), 'group_id': Seeder.model.ordered_queryset_foreign_key(StatisticGroup.objects.all(), wrap=True), 'name': Seeder.ordered.choice(STATISTIC_SEEDS, wrap=True), 'interval': Seeder.model.random_field_choice(StatisticIntervalChoices), 'key': Seeder.ordered.choice(STATISTIC_KEYS, wrap=True), 'is_active': Seeder.static(True), 'is_deleted': Seeder.static(False)} class-attribute instance-attribute

seed_statistic_values

Source code in django_spire/metric/domain/statistic/seeding/seeder.py 
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def seed_statistic_values(count: int = 1000) -> None:
    options = []
    for statistic in (
        Statistic.objects.active().not_deleted().select_related('group__domain').order_by('pk')
    ):
        sub_domains = list(statistic.group.domain.subdomains.active().order_by('pk'))
        if sub_domains:
            options.append((statistic, sub_domains))

    if not options:
        return

    now = timezone.now()
    rows = []

    for index in range(count):
        statistic, sub_domains = options[index % len(options)]
        rows.append(
            StatisticValue(
                statistic=statistic,
                sub_domain=sub_domains[index % len(sub_domains)],
                reference=VALUE_REFERENCES[index % len(VALUE_REFERENCES)],
                timestamp=now - timedelta(minutes=(index * 137) % (30 * 24 * 60)),
                value=(index % 100) + 1,
            )
        )

    StatisticValue.objects.bulk_create(rows, batch_size=500)