Commit Graph

1590 Commits

Author SHA1 Message Date
gpt-engineer-app[bot]
53b576ecc1 Invalidate all system-alerts queries on resolve
Update PipelineHealthAlerts resolve flow to invalidate all severity-specific system_alerts queries (not just the base key), ensuring resolved alerts disappear from UI. Adds broad invalidation pattern and preserves loading state handling.
2025-11-11 14:14:32 +00:00
gpt-engineer-app[bot]
eac8c7a77f Add robust loading cleanup
Ensure Resolve button clears loading state with proper try-catch-finally around async resolution, preventing stuck loading indicator and improving error handling.
2025-11-11 14:12:57 +00:00
gpt-engineer-app[bot]
21cd547c27 Add loading state to Resolve button
- Introduce per-button loading state in PipelineHealthAlerts
- Disable button and show spinner with "Resolving..." while resolving
- Re-enable after operation completes
- Keeps user feedback inline with alert resolution flow
2025-11-11 14:11:46 +00:00
gpt-engineer-app[bot]
da32935d63 Add debugging for Resolve on monitoring page
Enhance PipelineHealthAlerts flow to log and refresh
- Add console logs when resolving alerts on PipelineHealthAlerts
- Invalidate related queries to refresh UI after resolution
- Improve error handling and user feedback paths for resolve action
2025-11-11 14:10:10 +00:00
gpt-engineer-app[bot]
9cabd20e43 Fix Resolve button flow
Investigate and address why the Resolve action isn’t triggering despite superuser role. Add diagnostic logging and ensure the resolve mutation is invoked with correct data, plus prep for validating frontend event wiring and mutation calls.
2025-11-11 13:43:21 +00:00
gpt-engineer-app[bot]
2093560f64 Connect to Lovable Cloud
Implement monitoring and alert-resolve UI improvements:
- Enhance useAlertGroupActions with robust error handling and breadcrumb logging
- Add loading state visuals to GroupedAlertsPanel and Resolve All button
- Integrate loading indicator (Loader2) for better user feedback during resolves
2025-11-11 13:21:58 +00:00
gpt-engineer-app[bot]
177eb540a8 Fix security warnings in migration
- Change security settings for views to SECURITY INVOKER
- Add explicit search_path in cleanup_old_spans function
- Ensure safe, non-deferring access to trace views and cleanup routine
2025-11-11 04:24:38 +00:00
gpt-engineer-app[bot]
ca6e95f4f8 Capture backend response metadata
Update edge function wrapper to emit backend metadata headers (X-Request-Id, X-Span-Id, X-Trace-Id, X-Duration-Ms) on responses; adjust logging to include duration and headers. Enhance edgeFunctionTracking to extract and propagate backend metadata from responses and errors; extend errorHandler to capture and log backend metadata for improved observability.
2025-11-11 04:18:20 +00:00
gpt-engineer-app[bot]
7642ac435b Connect to Lovable Cloud
Improve CORS handling and error logging to fix moderation edge cases:
- Add x-idempotency-key to allowed CORS headers and expose explicit POST methods
- Extend CORS headers to include Access-Control-Allow-Methods
- Update edge function tracing and client error handling to better detect and log CORS/network issues
- Enhance error handling utilities to surface CORS-related failures and provide clearer user messages
2025-11-11 02:39:15 +00:00
gpt-engineer-app[bot]
915a9fe2df Add automated data retention cleanup
Implements edge function, Django tasks, and UI hooks/panels for automatic retention of old metrics, anomalies, alerts, and incidents, plus updates to query keys and monitoring dashboard to reflect data-retention workflows.
2025-11-11 02:21:27 +00:00
gpt-engineer-app[bot]
07fdfe34f3 Fix function search paths
Adjust migrations to set search_path = public for functions to resolve security warnings and ensure proper function execution context.
2025-11-11 02:13:51 +00:00
gpt-engineer-app[bot]
be94b4252c Implement ML Anomaly Detection
Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.
2025-11-11 02:07:49 +00:00
gpt-engineer-app[bot]
7fba819fc7 Implement alert correlation UI
- Add hooks and components for correlated alerts and incidents
- Integrate panels into MonitoringOverview
- Extend query keys for correlation and incidents
- Implement incident actions (create, acknowledge, resolve) and wiring
2025-11-11 02:03:20 +00:00
gpt-engineer-app[bot]
5a8caa51b6 Fix search_path on functions
The migration succeeded but security warnings require updating functions to set search_path. Add SET search_path to the three created functions to ensure proper schema resolution and security context.
2025-11-11 01:58:56 +00:00
gpt-engineer-app[bot]
01aba7df90 Connect to Lovable Cloud
Fix security definer view issue by enabling security_invoker on grouped_alerts_view and implement grouped alerts system with new keys, hooks, components, and monitoring overview integration. Added migration to adjust view, updated query keys, created useGroupedAlerts, useAlertGroupActions, GroupedAlertsPanel, and updated MonitoringOverview to include grouped alerts.
2025-11-11 01:51:42 +00:00
gpt-engineer-app[bot]
97f586232f Enable grouped alert view with security considerations
Update: implement grouped_alerts_view migration and address security definer concerns by noting default SECURITY INVOKER behavior for views and ensuring RLS policies on underlying tables apply. This commit covers the view creation and related security clarifications for alert grouping feature.
2025-11-11 01:49:27 +00:00
gpt-engineer-app[bot]
99c917deaf Implement monitoring overview features
Add comprehensive monitoring dashboard scaffolding:
- Extend queryKeys with monitoring keys
- Create hooks: useCombinedAlerts, useRecentActivity, useDatabaseHealth, useModerationHealth
- Build UI components: SystemHealthStatus, CriticalAlertsPanel, MonitoringQuickStats, RecentActivityTimeline, MonitoringNavCards
- Create MonitoringOverview page and integrate routing (MonitoringOverview route)
- Wire AdminSidebar to include Monitoring navigation
- Introduce supporting routing and admin layout hooks/utilities
- Align with TanStack Query patterns and plan for auto-refresh and optimistic updates
2025-11-11 01:33:53 +00:00
gpt-engineer-app[bot]
e2692471bb Enhance alert resolution UX
Implement loading state, confirmation dialog, and related UI changes for resolving rate limit alerts:
- Add resolvingAlertId state
- Use ConfirmationDialog for safe resolution
- Update Resolve button to ghost variant with CheckCircle icon and loading behavior
- Wire up loading and disable states during mutation
2025-11-11 00:23:21 +00:00
gpt-engineer-app[bot]
28fa2fd0d4 Monitor rate limits progress
Implement monitor-rate-limits edge function to compare metrics against alert configurations, trigger notifications, and record alerts; update config and groundwork for admin UI integration.
2025-11-11 00:19:13 +00:00
gpt-engineer-app[bot]
677d0980dd Connect to Lovable Cloud
Approved Lovable tool use and migration updates to fix security warning and add monitoring edge function. Prepare and apply migrations to ensure search_path is set to public and implement monitoring endpoint for rate limit metrics.
2025-11-11 00:14:48 +00:00
gpt-engineer-app[bot]
1628753361 Create Rate Limit Admin Dashboard
Add a React admin dashboard component to visualize rate limit metrics and statistics, including data fetching from the rate-limit-metrics edge function, charts and statistics, and admin routes/integration. Includes setup for routing and UI scaffolding to display total requests, block rate, top blocked IPs/users, and recent activity with interactive charts.
2025-11-11 00:06:49 +00:00
gpt-engineer-app[bot]
f3f67f3104 Create RPC fix migration and types
Update database migration to fix create_submission_with_items to use relational park_submission_locations for location data, removing temp_location_data usage; add corresponding TypeScript type cleanup to drop temp_location_data field from submission data types.
2025-11-10 20:05:52 +00:00
gpt-engineer-app[bot]
1f7e4bf81c Fix updateItemDataWithHistory
Refactor to store park location data relationally:
- Retrieve park_submission_id from park_submissions
- Remove embedded temp_location_data usage
- Update park_submissions without location, then upsert location into park_submission_locations
- Align behavior with updateSubmissionItems pattern to fix JSON storage in Item history
2025-11-10 19:53:29 +00:00
gpt-engineer-app[bot]
b1c518415d Refactor moderation tests to use submission helpers
Refactor src/lib/integrationTests/suites/moderationDependencyTests.ts to replace direct submission_items inserts with proper submission helper usage (submitParkCreation), aligning with relational schema. Update dep-001 to create parks via helpers and adjust item retrieval/cleanup accordingly. Modify dep-002 to verify relational submission structure via helpers, ensuring tests interact with new schema and avoid legacy item_data usage. This fixes schema/mapping mismatches and aligns tests with the approved Phase 2 approach.
2025-11-10 19:50:30 +00:00
gpt-engineer-app[bot]
8259096c3f Add cleanup verification UI
Implements a CleanupReport UI component to display detailed cleanup results after test runs, including tables cleaned, records deleted per table, duration, and errors. Integrates with IntegrationTestRunner to show cleanup summary post-run and exports a compact inline view.
2025-11-10 19:30:30 +00:00
gpt-engineer-app[bot]
f51d9dcba2 Create test data cleanup utility
Adds a new test data cleanup utility to safely remove test fixtures after integration test suites. Includes type-safe cleanup functions for parks, rides, companies, ride_models, locations, and submissions, with safety checks (is_test_data filters) and progress logging. Integrates cleanup invocation post-run to prevent database bloat and preserves safety against prod data deletion.
2025-11-10 19:28:13 +00:00
gpt-engineer-app[bot]
ea22ab199f Connect to Lovable Cloud
Add phase 2 migration for moderator INSERT policies and enhance test runner rate-limit mitigations:
- Introduce migration 20251110_fix_missing_insert_policies_phase2.sql to grant moderator INSERT capabilities for park_submission_locations, parks, rides, companies, ride_models, and locations with MFA checks.
- Update test runner to 8s base delays, preemptive cooldowns before heavy suites, and 18s post-suite delays for heavy suites, improving rate-limit handling.
2025-11-10 19:24:50 +00:00
gpt-engineer-app[bot]
73e847015d Add rate limit aware retries
Enhance retry logic to detect 429 rate limits, parse Retry-After headers, and apply smart backoff across all entity submissions. Adds rate-limit-aware backoff, preserves user feedback via UI events, and ensures retries respect server-provided guidance.
2025-11-10 19:05:31 +00:00
gpt-engineer-app[bot]
8ed5edbe24 Implement automatic retry in entitySubmissionHelpers.ts
Add exponential backoff retry logic with user feedback
- Integrate with existing withRetry patterns
- Introduce unique retry IDs for submissions
- Emit consistent UI events for retry progress, success, and failure
- Enhance rate-limit handling including Retry-After scenarios
- Standardize baseDelay and shouldRetry across park, ride, company, ride_model, and other submissions
2025-11-10 19:02:11 +00:00
gpt-engineer-app[bot]
496ff48e34 Connect to Lovable Cloud
Implemented end-to-end fixes:
- Added INSERT RLS policies for park_submissions, ride_submissions, company_submissions, ride_model_submissions, and photo_submissions (own submissions and moderator access)
- Fixed process_approval_transaction to replace ride_type with category and updated references accordingly
- Enhanced rate limiting in testRunner.ts with a 6s base delay and 12s adaptive delays after submission-heavy suites
2025-11-10 18:34:14 +00:00
gpt-engineer-app[bot]
b47d5392d5 Enhance formatTestError patterns
Adds comprehensive error pattern matching in formatTestError to detect and format Supabase constraint violations (RLs, not-null, unique, foreign keys, check constraints, and related schema/permission issues) into actionable messages, extracting relevant details for clearer test failure guidance. Includes handling for common error shapes and preserves fallback messaging.
2025-11-10 18:22:00 +00:00
gpt-engineer-app[bot]
c5d40d07df Connect to Lovable Cloud
Apply quick wins and pipeline fixes for integration tests:
- Remove is_test_data flag from location inserts
- Increase test delay from 2.5s to 5s and add delays between suites to curb rate limiting
- Replace [object Object] error formatting with formatTestError across 10 test suites (31 edits) and add import
- Refactor unit/conversion tests and performance tests to use the approval pipeline
- Extend edge function handling by ensuring item_ids are included in idempotency key inserts (edge function fix)
- Update auth, data integrity, edgeFunction, moderation, performance, submission, unitConversion, and versioning test files accordingly
2025-11-10 18:20:22 +00:00
gpt-engineer-app[bot]
4a18462c37 Add delay countdown UI progress
Introduce visible countdown indicators for rate-limit delays between tests:
- Extend test runner to emit and expose delay progress updates.
- Update IntegrationTestRunner UI to display countdown while pausing.
- Ensure users see why tests are paused during delays.
2025-11-10 17:34:53 +00:00
gpt-engineer-app[bot]
f7f22f4817 Add delays between tests
Introduce automatic delay between test executions in the test runner to prevent rate limiting. Added a delayBetweenTests config (default 2.5s), a delay() helper, and updated runSuite to wait between tests. This helps avoid "Too many submissions in a short time" errors during test runs.
2025-11-10 17:33:43 +00:00
gpt-engineer-app[bot]
ade1810a01 Improve error formatting in tests
- Replace [object Object] errors with readable messages by using robust error formatting across test suites
- Introduce formatTestError helper and apply it in all catch blocks and error throws
- Update approvalPipelineTests and related suites to utilize improved error extraction for better debugging
2025-11-10 17:03:25 +00:00
gpt-engineer-app[bot]
e0001961bf Refactor tests to use pipeline
Refactor versioningTests.ts, submissionTests.ts, and dataIntegrityTests.ts to replace direct DB inserts with the submission pipeline (submitParkCreation → approve → verify), aligning tests with RLS policies and validation flows.
2025-11-10 16:59:10 +00:00
gpt-engineer-app[bot]
20cd434e73 Remove display_name and fix submission_type
Apply Phase 1 and 2 fixes:
- Remove display_name from location objects in approvalTestHelpers.ts
- Update submission_type to park/ride instead of park_create/ride_create
2025-11-10 16:56:22 +00:00
gpt-engineer-app[bot]
3cb0f66064 Make test results copyable
Add Markdown formatting utilities for test results, wire up clipboard copy in IntegrationTestRunner, and export new formatters. Introduce formatters.ts, extend index.ts exports, and implement copy all / copy failed / per-test copy functionality with updated UI.
2025-11-10 16:48:51 +00:00
gpt-engineer-app[bot]
ad31be1622 Combine Testing UIs
Merge Testing and Integration Tests into a single Testing control center in AdminSettings. Remove the separate integration-tests tab, and update the Testing tab to render both Test Data Generator and Integration Test Runner together, with appropriate headers and icons (Database and TestTube). Add Database to imports.
2025-11-10 16:44:31 +00:00
gpt-engineer-app[bot]
68d6690697 Add remaining approval tests
Expand approvalPipelineTests with 12 tests: park/ride updates, composites, photo galleries, edge cases (locks, invalid refs, banned users), and versioning. Include helpers for photo submissions and direct entity creation, plus photo gallery support and invalid temp-ref handling.
2025-11-10 16:39:05 +00:00
gpt-engineer-app[bot]
5169f42e2d Connect to Lovable Cloud
Implement integration plan to connect to Lovable Cloud by adopting the Lovable Cloud toolchain flow:
- Initiate tool-based wiring for Lovable Cloud connectivity
- Set up scaffolding to enable approved workflow and data exchange with Lovable Cloud
- Prepare for secure auth/session handling and API interactions
- Outline groundwork for subsequent implementation steps in the Lovable Cloud integration path
2025-11-10 16:32:28 +00:00
gpt-engineer-app[bot]
236e412d7c Connect to Lovable Cloud 2025-11-10 14:55:58 +00:00
gpt-engineer-app[bot]
fce582e6ba Consolidate Admin Logs Hub
- Implement new unified monitoring hub by adding EdgeFunctionLogs, DatabaseLogs, CorrelatedLogsView, and UnifiedLogSearch components
- Integrate new tabs (edge-functions, database, traces) into ErrorMonitoring and expose TraceViewer route
- Update admin sidebar link to reflect Monitoring hub and extend error modals with log-correlation actions
- Wire up app to include trace viewer route and adjust related components for unified log correlation
2025-11-10 14:49:33 +00:00
gpt-engineer-app[bot]
89338a06ea Connect to Lovable Cloud
Integrate Lovable Cloud tracing updates by enabling distributed tracing in edge functions, adjusting breadcrumb/trace propagation, and preparing RPC span handling. Files touched include edgeFunctionTracking and related RPC tracing scaffolding.
2025-11-10 14:42:39 +00:00
gpt-engineer-app[bot]
96adb2b15e Connect to Lovable Cloud
Implement distributed tracing across edge functions:
- Introduce span types and utilities (logger.ts enhancements)
- Replace request tracking with span-based tracing in approval and rejection flows
- Propagate and manage W3C trace context in edge tracking
- Add span visualization scaffolding (spanVisualizer.ts) and admin TraceViewer UI (TraceViewer.tsx)
- Create tracing-related type definitions and support files
- Prepare RPC call logging with span context and retries
2025-11-10 14:40:44 +00:00
gpt-engineer-app[bot]
94312c8ef0 Connect to atomic rejection flow
Introduce atomic rejection for bulk submissions, remove dead moderation code, and clean exports:
- Replace direct DB updates in rejectSubmissionItems with atomic process-selective-rejection edge function call
- Add edge function invocation helper import
- Remove obsolete moderation actions (approvePhotoSubmission, rejectSubmissionItems, performModerationAction) and prune exports
- Update moderation index exports accordingly
- Ensure cascade handling uses atomic pipeline and avoid updateSubmissionStatusAfterRejection calls
2025-11-10 14:19:49 +00:00
gpt-engineer-app[bot]
c7bdff313a Move photo logic to RPC path
Refactor: remove duplicate photo handling from useModerationActions.ts and ensure all photo approvals flow through the atomic process_approval_transaction path. This includes deleting the direct DB update block for photos and relying on the unified approval flow through the edge function. Also note required npm install for package-lock.json.
2025-11-10 14:01:34 +00:00
gpt-engineer-app[bot]
6c03a5b0e7 Implement rejection bulletproofing
Created atomic rejection edge function process-selective-rejection and RPC, updated moderation client to use it, and ensured resilience; added CORS wrapper. Reminder: generate package-lock.json by running npm install.
2025-11-10 13:26:13 +00:00
gpt-engineer-app[bot]
92b5d6e33d Implement bulletproof rejection flow
- Adds atomic rejection transaction edge function and RPC
- Updates moderation client to use new rejection path
- Introduces rejection transaction migration and supporting readouts
- Moves photo-related approval handling toward RPC-based flow
- Lays groundwork for idempotency and resilience in moderation actions
2025-11-10 13:20:16 +00:00
gpt-engineer-app[bot]
da0ccf7e27 Fix update_entity_from_submission function
The `update_entity_from_submission` function has been updated to correctly handle category fields for rides and ride models. This includes removing a non-existent `ride_type` column reference for rides and adding the missing `category` field for both rides and ride models. The `ride_type` field for ride models has been retained. This resolves critical bugs that were preventing ride and ride model edit submissions from being processed.
2025-11-08 04:11:24 +00:00