The client was speaking jupiter's provider dialect -- deliveryid,
pickuplat, coordinates as strings -- because that was the only endpoint
the Route Optimization API offered. rider-bike now has
/api/v1/optimization/doormile/sequence, which takes bookingid and
pickuplatitude, so the translation layer is gone.
The new endpoint validates its body; the provider one cannot, because
jupiter is live on it and tightening it would break real deliveries.
That matters here: sending the provider endpoint the wrong field names
returns HTTP 200 "Success" with every coordinate defaulted to 0.0, no
reordering and all distances zero. The Doormile endpoint rejects that
outright, and rejects 0,0 coordinates, which are inside the valid range
but are a point in the Atlantic that drags a whole route toward it.
Responses now come back properly typed, so the loose float/string
coercion is deleted rather than kept for a shape that no longer arrives.
Tests replaced to match: they run the real client against a stub server
and pin the outbound field names, the mapping back onto assignment ids,
that steps for assignments we never sent are discarded, that step 0 is
not persisted as a position, and that a failed optimise surfaces an
error instead of quietly looking like success.
Needs rider-bike deployed first; until then sequencing fails
best-effort, which leaves bookings assigned but unordered.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Assignment decided who carried a booking but never what order to run
several of them in -- the one capability jupiter had that Doormile did
not. It turns out we already own the solver: routes.workolik.com is a
live in-house Route Optimization API backed by Valhalla road-network
routing, not the paid third party I had assumed. This is a client for
it, not a solver.
internal/routing posts a rider's active stops and writes back step,
previouskms, cumulativekms and ETA onto BookingAssignment. HubBatchAssign
calls it after committing a batch, which is exactly the case it exists
for: a rider used to walk away with several bookings and no order to run
them in. GetMilerAssignments now returns sequenced stops in step order,
falling back to newest-first for anything unsequenced.
Contract discovered by probing the live service -- the OpenAPI schema
types the body as a bare object array, so the field names are not
documented anywhere. They are pickuplat/pickuplong/deliverylat/
deliverylong, NOT pickuplatitude/deliverylatitude. Sending the wrong
names does not fail: it returns HTTP 200 with every coordinate defaulted
to "0.0", no reordering and all distances zero. That trap is recorded in
a comment so the next person does not lose an afternoon to it.
Numeric fields come back inconsistently typed -- previouskms as a number,
actualkms and eta as strings, some decimal -- so they are decoded loosely
and coerced, with tests pinning the coercion. Steps for deliveryids we
did not send are discarded rather than written, so an echoed or stale id
cannot reorder another rider's work.
Sequencing is best-effort throughout and runs after assignments commit.
The optimizer is a separate service over the network; it being down must
leave bookings assigned but unordered, never undo the batch. Step 0 means
"not sequenced", not "first".
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
AssignCustomerMiler and AssignCRMMiler retried five times, two minutes
apart, using time.Sleep inside a bare goroutine — about ten minutes of
state held only in one pod's memory. Any restart dropped every retry in
flight, and nothing recorded it: the booking just stayed unassigned
forever with no failure event, because publishAssignmentFailed only runs
at the end of a loop that no longer existed. Deploying during a quiet
patch was enough to lose bookings this way, and it happened during
today's rollout.
Retries now run on the ASSIGNMENTS stream. Each entry point publishes
one booking.assignment_requested message; a durable consumer performs a
single attempt per delivery and NAKs with retryDelay when no miler is
available, so JetStream owns both the waiting and the delivery count.
A pod dying mid-wait costs nothing — the message is still on the server
and another replica takes it.
Behaviour is deliberately unchanged from the caller's side: same five
attempts, same two-minute spacing, same publishAssignmentFailed handoff
to the DispatchAgent. The failure event is fired explicitly on the last
delivery, since JetStream stops redelivering at MaxDeliver and would
otherwise let the booking fail silently again.
runInline keeps the old loop as a fallback for when JetStream is down.
Assignment is how a booking reaches a rider, so it must not become
dependent on the event bus: an outage should cost durability, which is
what we had before, not stop bookings being assigned at all.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
- pricingid null: lookupDoormilePrice now returns matched rule ID; wired to BookingServiceOption.Pricingid
- Zone rename: Interstate→Regional, OtherState→National throughout (code + DB migrated)
- Zone from pincodes: CheckPrice now accepts pickup_pincode+delivery_pincode and auto-resolves zone
- Delivery geocoding: pincodeToLatLon() maps 3-digit prefix to city coords when lat/lon are 0
- Device tokens: device_token field added to PinVerify DTOs; saved on both customer and miler login
- Assignment retry: RejectMilerAssignment now re-triggers AssignCustomerMiler/AssignCRMMiler immediately
- Provider empty B2C: defaults to Doormile when no pricing provider row matches
- City gate 422→400: StatusUnprocessableEntity corrected to StatusBadRequest
- Miler GPS 0,0: WS tracking falls back to MilerProfile DB coords when Redis key is expired
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
