openapi: "3.1.0"
info:
  title: AI Jobs API
  version: "1.0.0"
  description: BullMQ-based AI job submission endpoints (ADR-023A)

paths:
  /api/ai/suggest:
    post:
      summary: Queue AI Suggestion job (ai-realtime)
      description: |
        Triggered internally after document commit.
        Queues ai-suggest job to extract metadata from PDF (max 3 pages).
        Returns jobId for polling.
      security:
        - BearerAuth: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/AiSuggestRequest'
      responses:
        "202":
          description: Job queued
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/JobQueuedResponse'
        "400":
          $ref: '#/components/responses/ValidationError'
        "503":
          description: AI Service unavailable (Desk-5439 offline) — document saved, AI skipped

  /api/ai/jobs/{jobId}/status:
    get:
      summary: Poll job status
      parameters:
        - name: jobId
          in: path
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Job status
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/JobStatusResponse'

  /api/ai/rag/query:
    post:
      summary: RAG Q&A query (ai-realtime)
      description: |
        Queues rag-query job. Results returned via polling or WebSocket event.
        projectPublicId REQUIRED — enforces multi-tenant isolation.
      security:
        - BearerAuth: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RagQueryRequest'
      responses:
        "202":
          description: Job queued
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/JobQueuedResponse'

  /api/ai/embed:
    post:
      summary: Queue embed-document job (ai-batch)
      description: |
        Triggered internally after document commit (parallel with ai-suggest).
        Full-document chunked embedding — NOT limited to 3 pages.
      security:
        - BearerAuth: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbedDocumentRequest'
      responses:
        "202":
          $ref: '#/components/schemas/JobQueuedResponse'

components:
  schemas:
    AiSuggestRequest:
      type: object
      required: [documentPublicId, projectPublicId, idempotencyKey]
      properties:
        documentPublicId:
          type: string
          format: uuid
          description: UUIDv7 of the committed document
        projectPublicId:
          type: string
          format: uuid
          description: UUIDv7 of the project — REQUIRED for multi-tenancy
        idempotencyKey:
          type: string
          description: Prevents duplicate AI job on retry

    RagQueryRequest:
      type: object
      required: [projectPublicId, question]
      properties:
        projectPublicId:
          type: string
          format: uuid
          description: UUIDv7 — limits search to this project only
        question:
          type: string
          maxLength: 500
          description: Natural language question (Thai or English)
        topK:
          type: integer
          default: 5
          minimum: 1
          maximum: 20

    EmbedDocumentRequest:
      type: object
      required: [documentPublicId, projectPublicId, idempotencyKey]
      properties:
        documentPublicId:
          type: string
          format: uuid
        projectPublicId:
          type: string
          format: uuid
        idempotencyKey:
          type: string

    JobQueuedResponse:
      type: object
      properties:
        jobId:
          type: string
        queue:
          type: string
          enum: [ai-realtime, ai-batch]
        estimatedWaitSecs:
          type: integer

    JobStatusResponse:
      type: object
      properties:
        jobId:
          type: string
        status:
          type: string
          enum: [waiting, active, completed, failed]
        result:
          type: object
          nullable: true
          description: AI suggestion payload when completed

  responses:
    ValidationError:
      description: Validation failed (class-validator)
      content:
        application/json:
          schema:
            type: object
            properties:
              statusCode:
                type: integer
              message:
                type: array
                items:
                  type: string

  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT