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feat: sync interview content in real time

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Publish shared-document and note events through RabbitMQ, stream token-scoped document updates to participants, and update connected interviewer and participant browsers through resilient SSE subscriptions.

Add snapshots, heartbeats, reconnection behavior, proxy streaming configuration, privacy filtering, and end-to-end RabbitMQ coverage.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Daniel Noulet 2026-09-19 22:22:42 +02:00
parent e4fee06e2f
commit c050815900
16 changed files with 438 additions and 101 deletions
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@ -10,7 +10,7 @@ timed assessments followed by collaborative interviews.
- Go 1.27.1 HTTP API using Chi, GORM, PostgreSQL, Goose, bcrypt, and signed JWTs
- React 19.3, TypeScript, and Vite
- PostgreSQL 18
- RabbitMQ 4 for live interview-note fanout
- RabbitMQ 4 for live interview event fanout
## Run locally
@ -62,7 +62,7 @@ cd frontend && npm test -- src/app/App.test.tsx -t "filters jobs by title"
Docker must be available for `make test`. The integration suite starts PostgreSQL
18 and RabbitMQ 4 in disposable Testcontainers, applies every Goose migration,
loads deterministic test fixtures, exercises login and the complete assessment and
interview workflow, verifies live note fanout, and removes both containers
interview workflow, verifies live note and document fanout, and removes both containers
afterward.
Start an isolated application stack populated with test data for manual UI testing:
@ -92,11 +92,11 @@ Completed assessments can be marked passed or failed. A passed candidate can be
scheduled for an interview with a date, location or meeting link, shared document,
and selected co-interviewers. Each interviewer has an inbox for invitations and a
calendar for accepted interviews. During a started interview, attendees can add
private notes; the API persists each note and publishes it through a durable
RabbitMQ fanout exchange so connected interviewer sessions receive it over an
authenticated server-sent-event stream. The candidate receives a separate opaque
meeting link that exposes the schedule and shared document, but never private notes
or assessment reference answers.
private notes. Notes and shared-document changes are published through a durable
RabbitMQ fanout exchange and delivered over server-sent-event streams. Authenticated
interviewer sessions receive both event types; the candidate's opaque meeting link
uses a token-authorized stream that receives shared-document updates but never
private notes or assessment reference answers.
Development fixtures include `co-interviewer@go-guess.local` with password
`admin123`. Additional co-interviewers can be created from the Users screen.