container mode: the Add Rate dialog offers the multi-tier editor in both
modes, each tier is created as its own rate row, and overlapping bulk
bands are rejected. Pricing picks the tier whose half-open band holds
the trip km, falling back to the legacy bandless bulk rate.
The rate matrix currency cell hardcoded USD, so a last-mile rate
priced in ETB still displayed as dollars. formatCell now takes the
row and reads its currency code, falling back to USD.
Last-mile currency select gets defaultValue ETB (new generic
FormFieldDef.defaultValue for create-time pre-selection) and lists
ETB (Birr) first; USD stays selectable. Backend already persisted
and validated the chosen currency.
Approval now snapshots the rate estimate and generates a last-mile
contract instead of invoicing immediately. The customer picks a delivery
date on the confirm form, then reviews and signs the contract in the
portal (saved signature or drawn); the signed PDF is stored as
LM_<CustomerName>.pdf and only then is the advance invoice issued.
Backoffice shows signature status and the contract download.
- tierList field type in rule-engine form dialog (add/remove rows,
overlap + open-ended validation, From km auto-continues)
- create submits one rate row per tier sequentially
- editing a band row keeps the single From/To/value form
feat(bookings): add event handlers for booking invoice payment processing
fix(bookings): include PAYMENT_VERIFICATION_IN_PROGRESS status in queries
fix(train-scheduling): update status checks to include PAYMENT_VERIFICATION_IN_PROGRESS
feat(notifier): notify customers when a train is cancelled
- Implemented a method in to permanently delete wagons without history.
- Added corresponding permissions for hard delete actions in .
- Updated the UI components to include purge actions, ensuring they are only available to users with the appropriate permissions.
- Created modals for confirming permanent deletions in and .
- Enhanced API services to handle purge requests for locomotives, wagons, and routes.
- Added tests for the purge functionality in both and services to ensure proper behavior and error handling.
- Updated ContractDocumentViewModelBuilder to include cargoTypeName, containerType, and cargoSummary in the schedule.
- Modified contract dynamic template tests to validate the new cargo fields.
- Enhanced contract renderer service tests to reflect changes in cargo data structure.
- Updated contract view model interface to include new cargo-related fields.
- Improved dynamic template rendering to display cargo type and container type.
- Refactored exchange settings controller and service to streamline error handling and feed status management.
- Introduced article HTML conversion functions to support Quill editor integration for structured article editing.
- Added tests for article HTML conversion to ensure correct round-trip processing of clauses and bullets.
- Updated ContractDocumentViewModelBuilder to include cargoTypeName, containerType, and cargoSummary in the schedule.
- Modified contract dynamic template tests to validate the new cargo fields.
- Enhanced contract renderer service tests to reflect changes in cargo data structure.
- Updated contract view model interface to include new cargo-related fields.
- Improved dynamic template rendering to display cargo type and container type.
- Refactored exchange settings controller and service to streamline error handling and feed status management.
- Introduced article HTML conversion functions to support Quill editor integration for structured article editing.
- Added tests for article HTML conversion to ensure correct round-trip processing of clauses and bullets.
The suite drove a containerized freight API, so every code change needed an
image rebuild before a test could see it, and there was no way to attach a
debugger. Files also ran strictly in sequence against one shared database,
which is the root of the warm-stack gotchas the README documents: stowaway
paid bookings climbing back aboard, a short consist on the fifth file.
The freight app now boots inside each vitest worker from dist/, and each
worker owns a whole shard of the topology - its own database, payment API,
gateway mock and broker vhost - so nothing mutable is shared and files run
in parallel. Full suite drops from roughly 20 minutes to 196s at 4 shards.
- main.ts exports createFreightApp() so the harness applies the same prefix,
pipes, filters and interceptors as production instead of replaying them by
hand; self-start is guarded by require.main so the Dockerfile CMD still boots
- booking-window tick cadence is env-driven (BOOKING_WINDOW_TICK_CRON), */1 in
the suite, */10 unchanged in production
- prepare-shards.mjs seeds a template database (boot seeders, then the SQL
fixtures that depend on them) and clones it per shard; it.mjs re-clones on
every run, so each run is hermetic
- gateway mock and payment API are generated per shard: the mock keeps modes
and orders process-global and 20 of 25 specs reset it in beforeAll, and the
inbound CBE bill query has to reach one specific shard's app
- poll() samples every 250ms instead of 2000ms, keeping the caller's deadline
- authz.it.ts seeds its own invoice; it previously read another spec's leftover
and returned early, which silently passed on a pristine database
Known: an unlocked MAX(sequence_no)+1 in train-scheduling.service.ts races
under concurrent allocation and leaves a short consist, so 1-3 specs fail
intermittently. Pre-existing and reproduces at the production tick cadence.
