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sub2api/docs/BATCH_IMAGE_MVP.md
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2026-07-04 05:30:50 +08:00

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Batch Image MVP

Sub2API Batch Image MVP provides asynchronous Gemini image batch generation through a unified API surface backed by Redis workers, PostgreSQL state, and provider-specific batch backends.

Supported providers:

  • gemini_api
  • vertex

API users do not see Gemini file names, Vertex job names, GCS paths, signed URLs, API keys, or service account material. Downloads are proxied through Sub2API.

API Routes

POST   /v1/images/batches
GET    /v1/images/batches/{id}
GET    /v1/images/batches/{id}/items
GET    /v1/images/batches/{id}/items/{custom_id}/content
GET    /v1/images/batches/{id}/download
POST   /v1/images/batches/{id}/cancel
DELETE /v1/images/batches/{id}/outputs

Submit request:

{
  "model": "gemini-2.5-flash-image",
  "provider": "gemini_api",
  "items": [
    {
      "custom_id": "cover_001",
      "prompt": "A clean product hero image..."
    }
  ],
  "image_size": "1K",
  "response_mime_type": "image/png"
}

Public batch response:

{
  "id": "imgbatch_0123456789abcdef0123456789abcdef",
  "object": "image.batch",
  "status": "queued",
  "model": "gemini-2.5-flash-image",
  "provider": "gemini_api",
  "item_count": 1,
  "success_count": 0,
  "fail_count": 0,
  "estimated_cost": 0.25,
  "actual_cost": null,
  "created_at": 1783123200,
  "submitted_at": 1783123201,
  "settled_at": null
}

Public items response:

{
  "object": "list",
  "data": [
    {
      "custom_id": "cover_001",
      "status": "succeeded",
      "mime_type": "image/png",
      "file_extension": "png",
      "image_count": 1,
      "error": null
    }
  ],
  "has_more": false
}

Lifecycle

Internal lifecycle:

created -> uploading -> submitted -> running -> indexing -> settling -> completed

Terminal and cleanup statuses:

failed
cancelled
completed -> output_deleted

Public status mapping:

created/uploading/submitted -> queued
running                    -> running
indexing                   -> processing_results
settling                   -> settling
completed                  -> completed
failed                     -> failed
cancelled                  -> cancelled
output_deleted             -> output_deleted

completed -> output_deleted happens after manual output deletion or TTL cleanup.

Redis

Redis is used for wakeups, retries, worker coordination, per-job locks, and download limiting. PostgreSQL remains the source of truth.

batch_image.queue_enabled defaults to false. When it is set to true, app startup starts BatchImageWorker runtime loops for the Redis ready queue, delayed queue mover, and stale active recovery. The worker reserves jobs from the Redis ready queue and blocks there when no job is available.

Redis structures:

  • Ready queue: batch_image.queue_ready_key
  • Delayed queue: batch_image.queue_delayed_key
  • Active set: batch_image.queue_active_key
  • Inflight keys: batch_image.inflight_key_prefix
  • Per-job lock keys: batch_image.lock_key_prefix
  • Queue idempotency keys: batch_image.idempotency_key_prefix
  • Download limiter keys managed by the download limiter

Workers should reserve from Redis. They are not expected to run as a database scan loop.

The worker does not perform DB scan polling. Database reads happen only after a Redis queue reservation yields a specific batch id.

Billing

MVP billing rules:

  • Submit may estimate cost.
  • Settlement runs after result indexing.
  • Only successful images are charged.
  • Failed items are not charged.
  • Settlement request id is batch_image_settlement:{batch_id}.
  • Settlement is idempotent; re-running settlement must not double charge.

Exact production pricing is resolved through model pricing configuration and is not defined here.

Cleanup

Defaults:

  • Input retention after terminal status: 24 hours.
  • Output retention after terminal status: 72 hours.
  • Maximum output retention: 7 days.
  • Cleanup interval: 30 minutes.
  • Cleanup batch size: 100.

Manual output deletion:

DELETE /v1/images/batches/{id}/outputs

After output cleanup, downloads return 410 Gone with BATCH_IMAGE_OUTPUT_DELETED.

Cleanup never accepts user-supplied provider paths. Provider cleanup must use server-generated refs and prefix-safe deletion.

For the managed Vertex/GCS batch bucket, disable Cloud Storage soft delete or configure lifecycle carefully to avoid hidden retained storage cost.

Provider Notes

gemini_api:

  • Uses Gemini Batch API with JSONL file mode.
  • Result file refs are internal.
  • API keys are never returned.

vertex:

  • Uses Vertex BatchPredictionJob with managed GCS JSONL.
  • GCS bucket and prefix are server-managed.
  • Vertex job name and GCS paths are internal.
  • Batch image output should be treated as 1K/default only in MVP.
  • Do not promise 2K or 4K.

Config

These keys exist in backend/internal/config/config.go:

batch_image:
  enabled: false
  max_items_per_job_default: 500
  max_items_per_job_trial: 50
  max_prompt_chars_per_item: 8000
  default_response_mime_type: "image/png"
  default_image_size: "1K"

  max_download_items_zip: 1000
  max_download_bytes_per_request: 2147483648
  max_download_duration_seconds: 600
  max_download_concurrency_per_user: 2

  input_retention_after_terminal_hours: 24
  output_retention_after_terminal_hours: 72
  output_retention_max_days: 7
  cleanup_interval_minutes: 30
  cleanup_batch_size: 100

  queue_enabled: false
  queue_ready_key: "batch_image:queue:ready"
  queue_delayed_key: "batch_image:queue:delayed"
  queue_active_key: "batch_image:queue:active"
  inflight_key_prefix: "batch_image:queue:inflight:"
  lock_key_prefix: "batch_image:queue:lock:"
  idempotency_key_prefix: "batch_image:queue:idem:"
  inflight_ttl_seconds: 604800
  job_lock_ttl_seconds: 300
  default_requeue_delay_seconds: 30
  error_retry_delay_seconds: 60
  lock_conflict_delay_seconds: 5
  stale_active_after_seconds: 600
  delayed_mover_interval_seconds: 5
  recovery_interval_seconds: 300
  delayed_move_limit: 100
  recover_limit: 100

  vertex_enabled: false
  vertex_project_id: ""
  vertex_location: "global"
  vertex_managed_gcs_bucket: ""
  vertex_managed_gcs_prefix: "batch-image/{env}/{batch_id}"
  vertex_input_retention_hours: 24
  vertex_output_retention_hours: 72
  vertex_batch_prediction_base_url: ""
  vertex_gcs_base_url: ""

Feature flags default to disabled.

Operations Checklist

  • Enable batch_image.enabled.
  • Configure Redis.
  • Enable batch_image.queue_enabled when workers should consume queue jobs.
  • Configure provider accounts.
  • Configure the Vertex managed GCS bucket if using Vertex.
  • Ensure bucket permissions are correct.
  • Disable or manage GCS soft delete.
  • Configure cleanup worker settings.
  • Configure max items per job.
  • Configure download concurrency.
  • Confirm billing pricing.
  • Run smoke tests before enabling.

Security Checklist

  • No provider refs in public responses.
  • No GCS URI exposure.
  • No signed URL exposure.
  • No service account exposure.
  • No API key exposure.
  • No image bytes/base64 in PostgreSQL.
  • No base64 in logs.
  • Owner-scoped status, item, download, cancel, and delete routes.
  • Output deletion is owner-scoped.
  • Cleanup paths are server-generated only.

Test Commands

Core smoke and compile commands:

go test -tags=unit ./internal/service -run 'BatchImage' -count=1
go test -tags=unit ./internal/config ./internal/service ./internal/repository -count=1
go test ./internal/config ./internal/service ./internal/repository ./internal/handler ./internal/server/routes -run '^$'
go test ./... -run '^$'

These commands should not require Docker, testcontainers, Redis, GCP, Gemini, Vertex, or GCS.

PR Hygiene Checklist

  • Do not accidentally commit rfcs/batch-image-issue-draft.md unless maintainers explicitly want it.
  • Keep migrations ordered: 159_batch_image_foundation.sql, then 160_batch_image_provider_refs.sql, then later migrations.
  • Include generated Ent code if generated code is committed in this repository.
  • Keep generated server and wire files updated.
  • Keep feature flags disabled by default unless maintainers ask otherwise.
  • Do not commit real secrets, API keys, service account JSON, or local machine paths.
  • Keep fixtures tiny and fake; no real cloud refs or credentials.
  • Do not add new public routes, providers, dashboards, queues, or billing behavior in this stabilization PR.