Prowler Api

When to Use

Use this skill for Prowler-specific patterns:

• Row-Level Security (RLS) / tenant isolation
• RBAC permissions and role checks
• Provider lifecycle and validation
• Celery tasks with tenant context
• Multi-database architecture (4-database setup)

For generic DRF patterns (ViewSets, Serializers, Filters, JSON:API), use django-drf skill.

Critical Rules

• ALWAYS use rls_transaction(tenant_id) when querying outside ViewSet context
• ALWAYS use get_role() before checking permissions (returns FIRST role only)
• ALWAYS use @set_tenant then @handle_provider_deletion decorator order
• ALWAYS use explicit through models for M2M relationships (required for RLS)
• NEVER access Provider.objects without RLS context in Celery tasks
• NEVER bypass RLS by using raw SQL or connection.cursor()
• NEVER use Django's default M2M - RLS requires through models with tenant_id

Note: rls_transaction() accepts both UUID objects and strings - it converts internally via str(value).

Architecture Overview

4-Database Architecture

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# When to use admin (bypasses RLS)
from api.db_router import MainRouter
User.objects.using(MainRouter.admin_db).get(id=user_id)  # Auth lookups

# Standard queries use default (RLS enforced)
Provider.objects.filter(connected=True)  # Requires rls_transaction context

RLS Transaction Flow

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Request → Authentication → BaseRLSViewSet.initial()
                                    │
                                    ├─ Extract tenant_id from JWT
                                    ├─ SET api.tenant_id = 'uuid' (PostgreSQL)
                                    └─ All queries now tenant-scoped

Implementation Checklist

When implementing Prowler-specific API features:

Full file paths: See references/file-locations.md

Decision Trees

Which Base Model?

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Tenant-scoped data       → RowLevelSecurityProtectedModel
Global/shared data       → models.Model + BaseSecurityConstraint (rare)
Partitioned time-series  → PostgresPartitionedModel + RowLevelSecurityProtectedModel
Soft-deletable           → Add is_deleted + ActiveProviderManager

Which Manager?

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Normal queries           → Model.objects (excludes deleted)
Include deleted records  → Model.all_objects
Celery task context      → Must use rls_transaction() first

Which Database?

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Standard API queries     → default (automatic via ViewSet)
Read-only operations     → replica (automatic for GET in BaseRLSViewSet)
Auth/admin operations    → MainRouter.admin_db
Cross-tenant lookups     → MainRouter.admin_db (use sparingly!)

Celery Task Decorator Order?

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@shared_task(base=RLSTask, name="...", queue="...")
@set_tenant                    # First: sets tenant context
@handle_provider_deletion      # Second: handles deleted providers
def my_task(tenant_id, provider_id):
    pass

RLS Model Pattern

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from api.rls import RowLevelSecurityProtectedModel, RowLevelSecurityConstraint

class MyModel(RowLevelSecurityProtectedModel):
    # tenant FK inherited from parent
    id = models.UUIDField(primary_key=True, default=uuid4, editable=False)
    name = models.CharField(max_length=255)
    inserted_at = models.DateTimeField(auto_now_add=True, editable=False)
    updated_at = models.DateTimeField(auto_now=True, editable=False)

    class Meta(RowLevelSecurityProtectedModel.Meta):
        db_table = "my_models"
        constraints = [
            RowLevelSecurityConstraint(
                field="tenant_id",
                name="rls_on_%(class)s",
                statements=["SELECT", "INSERT", "UPDATE", "DELETE"],
            ),
        ]

    class JSONAPIMeta:
        resource_name = "my-models"

M2M Relationships (MUST use through models)

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class Resource(RowLevelSecurityProtectedModel):
    tags = models.ManyToManyField(
        ResourceTag,
        through="ResourceTagMapping",  # REQUIRED for RLS
    )

class ResourceTagMapping(RowLevelSecurityProtectedModel):
    # Through model MUST have tenant_id for RLS
    resource = models.ForeignKey(Resource, on_delete=models.CASCADE)
    tag = models.ForeignKey(ResourceTag, on_delete=models.CASCADE)

    class Meta:
        constraints = [
            RowLevelSecurityConstraint(
                field="tenant_id",
                name="rls_on_%(class)s",
                statements=["SELECT", "INSERT", "UPDATE", "DELETE"],
            ),
        ]

Async Task Response Pattern (202 Accepted)

For long-running operations, return 202 with task reference:

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@action(detail=True, methods=["post"], url_name="connection")
def connection(self, request, pk=None):
    with transaction.atomic():
        task = check_provider_connection_task.delay(
            provider_id=pk, tenant_id=self.request.tenant_id
        )
    prowler_task = Task.objects.get(id=task.id)
    serializer = TaskSerializer(prowler_task)
    return Response(
        data=serializer.data,
        status=status.HTTP_202_ACCEPTED,
        headers={"Content-Location": reverse("task-detail", kwargs={"pk": prowler_task.id})}
    )

Providers (11 Supported)

Adding new provider: Add to ProviderChoices enum + create validate_<provider>_uid() staticmethod.

RBAC Permissions

RBAC Visibility Pattern

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def get_queryset(self):
    user_role = get_role(self.request.user)
    if user_role.unlimited_visibility:
        return Model.objects.filter(tenant_id=self.request.tenant_id)
    else:
        # Filter by provider_groups assigned to role
        return Model.objects.filter(provider__in=get_providers(user_role))

Celery Queues

Task Composition (Canvas)

Use Celery's Canvas primitives for complex workflows:

Note: Use .si() (signature immutable) to prevent result passing. Use .s() if you need to pass results.

Examples: See assets/celery_patterns.py for chain, group, and combined patterns.

Beat Scheduling (Periodic Tasks)

Examples: See assets/celery_patterns.py for schedule_provider_scan pattern.

Advanced Task Patterns

@set_tenant Behavior

Key Patterns

Examples: See assets/celery_patterns.py for all advanced patterns.

Celery Configuration

Full config: See assets/celery_patterns.py and actual files at config/celery.py, config/settings/celery.py.

UUIDv7 for Partitioned Tables

Finding and ResourceFindingMapping use UUIDv7 for time-based partitioning:

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from uuid6 import uuid7
from api.uuid_utils import uuid7_start, uuid7_end, datetime_to_uuid7

# Partition-aware filtering
start = uuid7_start(datetime_to_uuid7(date_from))
end = uuid7_end(datetime_to_uuid7(date_to), settings.FINDINGS_TABLE_PARTITION_MONTHS)
queryset.filter(id__gte=start, id__lt=end)

Why UUIDv7? Time-ordered UUIDs enable PostgreSQL to prune partitions during range queries.

Batch Operations with RLS

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from api.db_utils import batch_delete, create_objects_in_batches, update_objects_in_batches

# Delete in batches (RLS-aware)
batch_delete(tenant_id, queryset, batch_size=1000)

# Bulk create with RLS
create_objects_in_batches(tenant_id, Finding, objects, batch_size=500)

# Bulk update with RLS
update_objects_in_batches(tenant_id, Finding, objects, fields=["status"], batch_size=500)

Security Patterns

Full examples: See assets/security_patterns.py

Tenant Isolation Summary

Celery Task Security Summary

Quick Reference

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# Safe task queuing - task only enqueued after transaction commits
with transaction.atomic():
    provider = Provider.objects.create(**data)
    transaction.on_commit(
        lambda: verify_provider_connection.delay(
            tenant_id=str(request.tenant_id),
            provider_id=str(provider.id)
        )
    )

# Modern retry pattern
@shared_task(
    base=RLSTask,
    bind=True,
    autoretry_for=(ConnectionError, TimeoutError, OperationalError),
    retry_backoff=True,
    retry_backoff_max=600,
    retry_jitter=True,
    max_retries=5,
    soft_time_limit=300,
    time_limit=360,
)
@set_tenant
def sync_provider_data(self, tenant_id, provider_id):
    with rls_transaction(tenant_id):
        # ... task logic
        pass

# Idempotent task - safe to retry
@shared_task(base=RLSTask, acks_late=True)
@set_tenant
def process_finding(tenant_id, finding_uid, data):
    with rls_transaction(tenant_id):
        Finding.objects.update_or_create(uid=finding_uid, defaults=data)

Production Deployment Checklist

Full settings: See references/production-settings.md

Run before every production deployment:

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cd api && uv run python src/backend/manage.py check --deploy

Critical Settings

Commands

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# Development
cd api && uv run python src/backend/manage.py runserver
cd api && uv run python src/backend/manage.py shell

# Celery
cd api && uv run celery -A config.celery worker -l info -Q scans,overview
cd api && uv run celery -A config.celery beat -l info

# Testing
cd api && uv run pytest -x --tb=short

# Production checks
cd api && uv run python src/backend/manage.py check --deploy

Resources

Local References

• File Locations: See references/file-locations.md
• Modeling Decisions: See references/modeling-decisions.md
• Configuration: See references/configuration.md
• Production Settings: See references/production-settings.md
• Security Patterns: See assets/security_patterns.py

Related Skills

• Generic DRF Patterns: Use django-drf skill
• API Testing: Use prowler-test-api skill

Context7 MCP (Recommended)

Prerequisite: Install Context7 MCP server for up-to-date documentation lookup.

When implementing or debugging Prowler-specific patterns, query these libraries via mcp_context7_query-docs:

Example queries:

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mcp_context7_query-docs(libraryId="/websites/celeryq_dev_en_stable", query="shared_task decorator retry patterns")
mcp_context7_query-docs(libraryId="/celery/django-celery-beat", query="periodic task database scheduler")
mcp_context7_query-docs(libraryId="/websites/djangoproject_en_5_2", query="model constraints CheckConstraint UniqueConstraint")

Note: Use mcp_context7_resolve-library-id first if you need to find the correct library ID.