Add database-level check constraints to ensure scheduled task intervals are always
positive for both Postgres and SQLite. Update admin API and UI to support sub-minute
intervals and stricter validation. Refactor scheduled task update logic to upsert
rows, ensuring tasks can be updated even if not yet present in the database.
Improve temporary upload cleanup to delete in paginated batches. Enhance tests to
cover new constraints and update behaviors.
Simplify user document transfer by consolidating storage and metadata handling. Remove inline deletion of shared blobs; only metadata is moved, and TTS segment transfer is controlled via options. Add `skipStorage` option for test scenarios to bypass storage operations. Update tests to reflect new transfer behavior.
Add a general-purpose scheduled task system with a persistent registry and status tracking, supporting background maintenance jobs such as orphaned blob reaping, expired upload cleanup, job event pruning, and TTS usage retention. Implement a new `scheduled_tasks` table, task engine, and handlers for each maintenance operation. Integrate an admin UI panel for monitoring, manual runs, and configuration of tasks. Update document and user data cleanup flows to delegate shared blob and preview deletion to the scheduled reaper. Add Vercel cron integration for serverless environments.
BREAKING CHANGE: Document and user storage cleanup now relies on background scheduled tasks for shared blob and preview deletion; immediate inline deletion is no longer performed.
Replace mutation-lock with document-lock to centralize document mutation
serialization and database transaction management. Introduce runInDbTransaction
utility to abstract SQLite/Postgres transaction differences. Update document
deletion, user data cleanup, and rate limiter logic to delegate transaction
handling and locking to shared helpers. Remove dialect-specific branching and
inline transaction logic for improved maintainability and testability.
BREAKING CHANGE: withDocumentMutationLock is removed in favor of withDocumentLock and runInDbTransaction
Enhance robustness of document deletion and TTS segment transfer by improving
error logging, partial rollback, and degraded state reporting. Add best-effort
cleanup and recovery mechanisms to prevent orphaned data and ensure diagnostic
information is captured for unexpected failures. Update user data cleanup to
log and swallow restoration errors without masking primary failures. Refine
claim logic to handle unmapped TTS audio keys safely.
Expand the anonymous data claim process to include document settings transfer and TTS segment S3 prefix copying. Remove foreign key constraints from user_tts_chars to allow non-user buckets. Update claim modal and onboarding flow to display claimed document settings. Refactor TTS char count transfer to merge all dates and fix upsert logic. Add S3 copy utility for TTS segments and corresponding tests. Update migrations and schema to reflect relaxed constraints.
Introduce `deleteOwnedDocument` utility to encapsulate all logic for removing a user's ownership of a document, including TTS segment cache cleanup, preview artifact removal, and S3 blob deletion for last-owner cases. Add `withDocumentMutationLock` to serialize concurrent mutations on the same document, using advisory locks in Postgres and a local queue fallback. Refactor all API routes and user data flows to use these utilities, ensuring transactional safety and preventing race conditions during document deletion or transfer. Update tests for new flows and add coverage for document cleanup sequencing and locking behavior.
Add tests for user data cleanup with shared document ownership and for TTS segment
variant export scenarios, including cases with duplicate audio keys and storage
disabled. Refactor cleanup logic to use document row types and transactional
ownership removal with last-owner checks. Update TTS segment cache clearing to
report deleted segment count by unique entry. Adjust export logic to always
include all TTS segment variants and conditionally export file buckets based on
storage availability. Update migration to use NOT VALID/VALIDATE for new
cascading constraints.
Revise user data cleanup logic to ensure proper cascading deletion of user-related
database rows and S3 objects, including shared document and preview artifacts.
Introduce explicit checks for last ownership before removing shared resources.
Add TTS segment cache and audio cleanup to document and user deletion flows.
Expand user data export to include TTS segment entries and audio, job events,
document settings, and linked auth sessions. Update schema with ON DELETE CASCADE
for userTtsChars and userJobEvents. Add new migration scripts and comprehensive
unit tests for cleanup and export scenarios.
Update preference normalization logic to explicitly reject arrays when
validating record types, ensuring only plain objects are accepted. Adjust
ConfigProvider effect conditions for clarity and correctness. Add unit tests
verifying that arrays are not accepted as valid preference records or saved
voices.
Move provider normalization logic into a dedicated module to ensure consistent
handling of provider defaults and user preference inheritance across client and
server. Update layout components to mount ConfigProvider only at the shared
layout level, preventing unnecessary remounts and hydration issues during
navigation. Adjust app config defaults so user provider settings are empty by
default, always inheriting the admin-configured provider unless explicitly set.
Add tests for normalization and sync logic to ensure robust provider resolution.
Eliminate the unused --delete-local option and related code from the
filesystem migration script to prevent accidental local data removal.
Introduce a cleanupClaimedLegacyFsSources utility for removing legacy
filesystem sources after claim, and integrate it into the user claim
flow. Add unit tests to verify the cleanup logic.
Eliminate all code, tests, and utilities related to the legacy 'unclaimed' user
scope. All API endpoints, document and audiobook storage, and access logic now
require a valid authenticated userId and only operate on resources owned by that
user. Remove related helper functions, test cases, and conditional flows for
anonymous/unclaimed data. Update types, client APIs, and UI logic to reflect
that only 'user' scope is supported. This simplifies ownership checks and
removes ambiguity around document and audiobook access.
Eliminate all code paths, configuration, and documentation related to running
without authentication. Require AUTH_SECRET and BASE_URL at startup, updating
middleware, server logic, and runtime checks to assume auth is always enabled.
Simplify onboarding, settings, and test helpers to reflect mandatory auth.
Update environment examples, Docker and deployment docs, and CI/test configs.
Remove no-auth-specific UI flows, test cases, and feature toggles.
Eliminate the errorCode property from server logger calls, error contract types, and API error bodies throughout the codebase. This reduces duplication and streamlines error reporting, relying on structured event names and error classes for identification. All affected API routes, server logic, and logging utilities have been updated for consistency. Documentation directory added for future reference.
Introduce `serverLogger` utility based on pino for consistent, structured logging across all server and API modules. Replace direct console logging with `serverLogger` and add request-scoped logging helpers. Update environment variable handling, documentation, and deployment guides to reflect new logging configuration (`LOG_FORMAT`, `LOG_LEVEL`, `COMPUTE_LOG_LEVEL`). Enforce no-console in server code via ESLint and add pino/pino-pretty dependencies.
This change standardizes log output, improves observability, and prepares the codebase for ingestion by log platforms.
Integrate changelog version check on settings open, triggering the changelog
panel when a new app version is detected. Refactor user preferences storage to
support metadata via payload utilities, enabling version tracking and future
extensibility. Add API endpoint for changelog version check and related tests
for changelog and preferences payload logic.
Redesign TTS segment storage by decomposing the `tts_segments` table into two normalized tables: `tts_segment_entries` for unique segment identity and locator projection, and `tts_segment_variants` for per-settings audio variants. Update schema, queries, and API routes to use the new structure, including manifest pagination and segment resolution logic. Refactor segment locator handling to use stable projections and manifest cursors. Migrate tests and data cleanup utilities to support the new model.
BREAKING CHANGE: Database schema for TTS segments is now split into entry and variant tables; all code and consumers must use the new structure. Persisted data and APIs relying on the old `tts_segments` table are incompatible.
Introduce TTS segment support with new database tables and migrations for both Postgres and SQLite. Implement segment ensure, audio, and manifest API endpoints, segment storage in S3, and segment authorization logic. Update TTS context and client API to use segment-based synthesis and retrieval. Add server-side helpers for segment ID, settings hash, locator normalization, and audio probing. Extend user data cleanup and teardown logic to remove TTS segment objects. Add unit tests for segment helpers.
BREAKING CHANGE: TTS synthesis now uses segment-based storage and APIs; database migrations required.
