feat: Add Azure Queue Storage seedwork with type-safe operations and blob audit logging

[Copilot]

Overview

Implements Phase 1 of Azure Queue Storage support: foundational @cellix/queue-storage-seedwork package providing type-safe queue operations with automatic blob audit logging and JSON schema validation.

Remaining phases (service integration, Cellix API extension, PoCs) detailed in QUEUE_STORAGE_IMPLEMENTATION_SUMMARY.md.

Implementation

Type-Safe Message Infrastructure

Generic message envelope with strict typing throughout—no any types:

interface QueueMessageEnvelope<TPayload> {
  messageId: string;
  timestamp: string;
  correlationId?: string;
  queueName: string;
  direction: 'inbound' | 'outbound';
  payload: TPayload;
  metadata?: Record<string, string>;
}

Base Queue Operations

BaseQueueSender

• Validates payload against JSON schema before send
• Encodes as base64 JSON for Azure compatibility
• Logs to queue-messages/outbound/{ISO8601-timestamp}.json
• OpenTelemetry spans for distributed tracing

BaseQueueReceiver

• Decodes and validates received messages
• Logs to queue-messages/inbound/{ISO8601-timestamp}.json
• Manages message deletion and visibility timeouts

Blob Audit Logging

Fire-and-forget pattern ensures logging doesn't block queue operations. Each blob includes:

• Metadata: queue name, direction, message ID, timestamp
• Tags: configurable per queue for filtering/categorization
• Full message envelope as JSON

Schema Validation

AJV-based validation with per-queue schema registration:

const schema: JSONSchemaType<MyPayload> = {
  type: 'object',
  properties: {
    id: { type: 'string' },
    value: { type: 'number' },
  },
  required: ['id', 'value'],
};

class MyQueueSender extends BaseQueueSender<MyPayload> {
  constructor(config, logger, validator) {
    super(config, {
      queueName: 'my-queue',
      direction: 'outbound',
      payloadSchema: schema,
      blobLogging: {
        tags: { type: 'domain-event' }
      }
    });
  }
}

Usage

// Send
const sender = new MyQueueSender(...);
await sender.ensureQueue();
const result = await sender.sendMessage(
  { id: '123', value: 42 },
  'correlation-id',
  { source: 'api' }
);
// Auto-logged to: queue-messages/outbound/2026-02-06T22:30:00.123Z.json

// Receive
const receiver = new MyQueueReceiver(...);
const messages = await receiver.receiveMessages({ maxMessages: 10 });
for (const { message, messageId, popReceipt } of messages) {
  await processMessage(message.payload);
  await receiver.deleteMessage(messageId, popReceipt);
}
// Auto-logged to: queue-messages/inbound/2026-02-06T22:30:01.456Z.json

Local Development

Azurite emulator support with default connection string documented in README.

Dependencies

• @azure/storage-queue@^12.26.0
• @azure/storage-blob@^12.25.0
• @opentelemetry/api@^1.9.0
• ajv@^8.17.1

Next Steps

See QUEUE_STORAGE_IMPLEMENTATION_SUMMARY.md for Phases 2-6:

• Application service (@ocom/service-queue-storage)
• Cellix queue trigger API
• Outbound/inbound queue PoCs
• Integration testing

Estimated 8-13 hours to complete.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Implement Azure Queue Storage support in Cellix with type-safe, logged queue sender/receiver and proof-of-concept</issue_title>
<issue_description>## Overview

The Cellix framework must provide robust, first-class support for Azure Queue Storage, enabling reusable queuing and logging for distributed communications between services. This work introduces foundational packages and application integration—including legacy-based queue sender/receiver abstractions, application-configurable service registration, and functional business examples.

Built-in Logging to Blob Storage

• Every message sent or received (either direction) must be uploaded to Azure Blob Storage in a container queue-messages:
  • Messages sent: stored under queue-messages/outbound/
  • Messages received: stored under queue-messages/inbound/
  • File name: current timestamp (UTC, ISO8601, ms precision), e.g. 2026-02-07T14:42:03.123Z.json
• Blob Metadata and Tagging:
  • Each file must be tagged and must have blob metadata for queue name and message direction.
  • Developers must be able to configure additional metadata/tags per queue at the application layer (e.g., custom tags per message type / queue).
• Logging must be reliable, atomic, and must not block the send/receive pipeline (logging should not prevent the queue operation from completing; errors must be handled robustly and traced).
• Documentation must include instructions for local Azurite-based development (storage emulator).

Implementation expectations (legacy parity + improvements)

• Abstractions, sender/receiver, and service interface must provide at least the same feature completeness, reliability, and error handling as the legacy efdo implementation.
• @cellix/queue-storage-seedwork must enforce proper type safety using generic typings and runtime guarantees:
  • No any for generic queue message/payload plumbing.
  • Prefer unknown + validation + typed narrowing where needed.
  • Prefer generics and discriminated unions for message envelopes and payload types.

Deliverables & Structure

1) @cellix/queue-storage-seedwork

Create a new framework seedwork package containing reusable queue storage infrastructure code:

• Base classes / services for sending and receiving messages (typed).
• JSON schema validation for message envelopes + payloads.
• Built-in blob logging described above (container queue-messages, with inbound/ and outbound/).
• Extension points for:
  • per-queue schema
  • per-queue metadata/tags configuration
  • correlation IDs / tracing integration
  • error handling strategy
• Must take inspiration from the legacy implementation:
  • https://github.com/ECFMG/efdo/blob/7972a5f7dc6d05b1d3db2d1d312af9ab89761052/data-access/services/queue-storage/base-queue-sender.ts
  • https://github.com/ECFMG/efdo/blob/7972a5f7dc6d05b1d3db2d1d312af9ab89761052/data-access/services/queue-storage/base-queue-receiver.ts

2) @ocom/service-queue-storage

Create an Owner Community application-specific package that:

• Depends on @cellix/queue-storage-seedwork.
• Maintains Owner Community’s queue configuration:
  • queue names
  • direction (inbound/outbound)
  • schemas
  • logging metadata/tags configuration
• On startup, registers all configured queues for sending and receiving.
• Adheres to Cellix infrastructure service standards (startup/shutdown lifecycle, DI registration patterns).

3) Extend Cellix fluent startup API to support queue triggers

In @ocom/api (and/or Cellix core where appropriate), expose a fluent, chained startup API to register Azure Functions queue handlers similarly to how HTTP handlers are registered today.

Proof-of-concept scenarios (MUST be implemented in Owner Community)

These examples are required to prove the design works with what is already functional in the repo and to provide contributors a working reference.

Outbound queue example: community-created

• On community creation, an existing integration event handler for CommunityCreatedEvent (already firing in the domain) must send a queue message to the outbound queue community-created.
• The message contract should align with the actual event and include relevant fields (e.g., communityId, name, createdAt, etc.).
• The send must:
  • be type-safe (generic typed payload)
  • be schema-validated at runtime
  • log the sent message as JSON to blob storage under queue-messages/outbound/ with configured tags/metadata

Inbound queue example: member

• Create an inbound queue member that accepts a payload:
  • memberId: string (required; objectId)
  • Select a few sensible fields from the member schema which can be used on the member message payload for the queue handler to update those fields in database when it processes a message. It doesn't matter what fields you pick, ...

• Fixes Implement Azure Queue Storage support in Cellix with type-safe, logged queue sender/receiver and proof-of-concept #160

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