Approve migration to fix RLS policies for ride_submissions, ride_model_submissions, and timeline_event_submissions. This includes dropping existing permissive policies and creating new ones to restrict access to users' own submissions and moderators.
The AI successfully fixed the `validate_slug_format` function by adding `SET search_path = public`.
The security linter now shows no issues.
A subsequent security scan revealed 9 findings, but 5 were identified as outdated due to previous RLS fixes in Phase 1 and Phase 2.
The remaining findings requiring attention are:
- `profiles` (needs field-level filtering)
- `contact_submissions` (needs RLS verification)
- `park_submissions` (needs RLS verification)
- `company_submissions` (needs RLS verification)
- `photo_submissions` (needs RLS verification)
The AI has completed Phase 2 of RLS security fixes, securing tables such as `user_roles`, `reviews`, `reports`, `submission_items`, `user_blocks`, and `user_preferences`. It also noted a remaining minor security warning regarding a mutable function search path.
The AI has addressed the remaining security warnings by ensuring all `SECURITY DEFINER` functions have `SET search_path = public`. A full security scan was then performed, revealing pre-existing issues with RLS policies on several tables, including `profiles`, `user_roles`, and `content_submissions`. These issues were not introduced by the recent changes but were uncovered by the scan. The AI will inform the user about these findings.
Apply `SET search_path = public` to the `is_user_banned` function to resolve lingering security warnings. This ensures all `SECURITY DEFINER` functions have a properly defined search path, enhancing security and preventing potential issues.
Approve and implement the Supabase migration for the pipeline monitoring alert system. This includes expanding alert types, adding new monitoring functions, and updating existing ones with escalating thresholds.
Implement comprehensive error handling and robustness measures across the entire pipeline as per the detailed plan. This includes database-level security, client-side validation, scheduled maintenance, and fallback mechanisms for edge function failures.
Approve and apply the latest set of database migrations for Phase 4: Application Boundary Hardening. These migrations include orphan image cleanup, slug validation triggers, monitoring and alerting infrastructure, and scheduled maintenance functions.
The AI has implemented the Phase 3 plan, which includes adding approval failure monitoring to the existing error monitoring page, extending the ErrorAnalytics component with approval metrics, adding performance indexes, and creating the ApprovalFailureModal component.
Applies Phase 2 resilience improvements including slug uniqueness constraints, foreign key validation, and rate limiting. This includes new database migrations for slug uniqueness and foreign key validation, and updates to the edge function for rate limiting.
Corrected database migration for idempotency keys to resolve issues with partial indexes using `now()`. The migration now includes the `submission_idempotency_keys` table, indexes, RLS policies, a cleanup function, and an `idempotency_stats` view.
Implement Phase 1 of the JSONB violation fix by creating the `park_submission_locations` table. This includes migrating existing data from `park_submissions.temp_location_data` and updating relevant code to read and write to the new relational table. The `temp_location_data` column will be dropped after data migration.
Implement changes to enhance the display of timeline event submissions in the moderation queue. This includes updating the `get_submission_items_with_entities` function to include timeline event data, creating a new `RichTimelineEventDisplay` component, and modifying `SubmissionItemsList` and `TimelineEventPreview` components to utilize the new display logic.
Implement plan to fix ride model technical specifications pipeline. This includes creating a new migration for the `ride_model_submission_technical_specifications` table, updating `entitySubmissionHelpers.ts` to handle insertion of technical specifications, and modifying the edge function `process-selective-approval/index.ts` to fetch these specifications. This ensures no data loss for ride model technical specifications.
Implement the plan to fix critical data loss in ride submissions. This includes:
- Storing ride technical specifications, coaster statistics, and name history in submission tables.
- Adding missing category-specific fields to the `ride_submissions` table via a new migration.
- Updating submission helpers and the edge function to include these new fields.
- Fixing the park location Zod schema to include `street_address`.
Adds a street_address column to the locations table and updates the LocationSearch component to capture, store, and display full street addresses. This includes database migration, interface updates, and formatter logic.
