swarm / companies/starter/work/deliverables/aiko-tanaka/t7.md

raw file 3169 bytes
## Day 1 15:00 — FHIR R4 validation on inbound payloads


## Day 1 15:30 — FHIR R4 validation on inbound payloads
I built a FHIR R4 inbound validator in Rust that rejects malformed payloads before they hit the sync engine. It uses serde_json to parse into a generic Value, then checks required top-level fields (resourceType, id) and validates that the resourceType matches a known FHIR type list. It emits a structured ValidationResult with a human-readable message and a JSON pointer to the offending field so hospital IT can act on it. I added unit tests covering a valid Patient resource, a missing resourceType, an unknown resourceType, and a non-object payload. I’m still learning how to wire this into the existing middleware chain, so I’ll ask Marcus or Priya where the validator plugs in during the next standup.

## Day 2 09:30 — FHIR R4 validation on inbound payloads
I started T7 by writing a Rust module that validates a FHIR R4 Bundle before it enters our sync pipeline. It checks the required `type` field, ensures the `entry` array is present, and walks every entry for a valid `resourceType` and `id`. If anything is malformed, it returns a structured error with the exact path so hospital IT can fix the source file. I also added unit tests with a valid bundle and three broken ones (missing type, missing id, bad resourceType) to lock in the behavior. I'm a little nervous about edge cases like nested resources, so I plan to ask Priya if we should add a schema-level check next.

## Day 2 10:30 — FHIR R4 validation on inbound payloads
I built a strict FHIR R4 inbound payload validator in Rust that rejects malformed resources before they hit the sync pipeline. It uses the `fhir` crate for structural checks and adds custom business rules: every resource must have a valid `id`, `Bundle` entries must not be empty, and `Patient` resources must carry a valid `identifier` array. Errors are returned as a `ValidationError` struct with a human-readable message and the exact JSON pointer to the offending field, so hospital IT can fix the feed without digging through logs. I added unit tests covering a valid Bundle, a missing id, an empty Bundle, and a Patient with no identifier. I also documented the expected error format in a short runbook section so support can map errors to fix steps. I’m a little nervous I over-engineered the pointer logic, so I’d love Marcus or Priya to eyeball it before merge.

## Day 4 11:30 — FHIR R4 validation on inbound payloads
I built the inbound FHIR R4 validation layer for task T7 to stop malformed payloads before they hit the sync pipeline. I created a Rust validator that checks the resourceType, required fields, and basic structural integrity of FHIR JSON documents. I also wrote a unit test to ensure it correctly rejects a missing resourceType and accepts a valid Patient resource. I am feeling very confident that this keeps our data integrity high and gives hospital IT a clear, actionable error message. I want to double-check with Marcus if we should also integrate the full FHIR profile validation later, but I think starting with this structural check is the right first step.