Class: ImageFullAnalysisWorker

Inherits:
Object
  • Object
show all
Includes:
Sidekiq::Worker, Workers::StatusBroadcastable
Defined in:
app/workers/image_full_analysis_worker.rb

Overview

Background worker for running the complete AI analysis pipeline on an image.

== Pipeline (Gemini)

  1. pHash Fingerprint - Perceptual hash for duplicate detection (local)
  2. Gemini Embedding 2 - Native multimodal embedding (image + metadata text)
  3. Gemini Flash Vision - Describes image content (independent, for CRM/metadata)

The embedding step no longer depends on vision analysis — Gemini Embedding 2
natively understands images without a text intermediary.

Examples:

Queue full analysis

ImageFullAnalysisWorker.perform_async(123)

Constant Summary collapse

JOB_TRACKING_KEY = 
"image_full_analysis_jid"
JOB_TRACKING_TTL = 
2.hours.to_i
MODEL = 
'gemini-embedding-2-preview'
DIMENSIONS = 
1536

Instance Attribute Summary

Attributes included from Workers::StatusBroadcastable

#broadcast_status_updates

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Workers::StatusBroadcastable::Overrides

#at, #store, #total

Class Method Details

.find_running_jid(image_id) ⇒ Object 



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# File 'app/workers/image_full_analysis_worker.rb', line 35

def self.find_running_jid(image_id)
  jid = Sidekiq.redis { |r| r.get("#{JOB_TRACKING_KEY}:#{image_id}") }
  return nil unless jid

  Sidekiq::Status.status(jid).in?(%i[queued working]) ? jid : nil
end

.lock_args(args) ⇒ Object 



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# File 'app/workers/image_full_analysis_worker.rb', line 24

def self.lock_args(args)
  [args[0]]
end

.track_jid(image_id, jid) ⇒ Object 



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# File 'app/workers/image_full_analysis_worker.rb', line 31

def self.track_jid(image_id, jid)
  Sidekiq.redis { |r| r.set("#{JOB_TRACKING_KEY}:#{image_id}", jid, ex: JOB_TRACKING_TTL) }
end

Instance Method Details

#perform(image_id, options = {}) ⇒ Object 



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# File 'app/workers/image_full_analysis_worker.rb', line 49

def perform(image_id, options = {})
  options = options.with_indifferent_access
  @force = options[:force].to_b

  total 4
  at 0, 'Starting AI analysis...'

  image = Image.find_by(id: image_id)
  unless image
    store error_message: "Image #{image_id} not found"
    return log_info("Image #{image_id} not found")
  end

  redirect_to_path = options[:redirect_to]
  redirect_to_path ||= "/en-US/images/#{image.slug}/tab_embeddings?target_id=ai_embeddings"
  store redirect_to: redirect_to_path

  if image.inactive?
    store error_message: "Image #{image_id} is inactive"
    return log_info("Image #{image_id} inactive")
  end

  if image.asset&.dig('file_type') == 'non-image'
    store error_message: 'Non-image file type'
    return log_info("Image #{image_id} is non-image")
  end

  analysis = analyze_needs(image)
  log_info "Image #{image_id}: #{analysis}"

  unless analysis[:needs_anything]
    at 4, 'Already complete'
    store info_message: 'All up to date'
    return log_info("Image #{image_id}: Up to date")
  end

  # Step 1: pHash
  at 1, 'Step 1/3: pHash...'
  if analysis[:needs_phash]
    begin
      ImageFingerprintWorker.new.perform(image_id, { force: @force })
      log_info "Image #{image_id}: pHash complete"
    rescue StandardError => e
      log_error "Image #{image_id}: pHash failed: #{e.message}"
    end
  end

  # Step 2: Multimodal embedding (Gemini Embedding 2 — image + metadata text)
  at 2, 'Step 2/3: Multimodal embedding...'
  if analysis[:needs_embedding]
    begin
      generate_multimodal_embedding(image)
      log_info "Image #{image_id}: Multimodal embedding complete"
    rescue StandardError => e
      log_error "Image #{image_id}: Embedding failed: #{e.message}"
    end
  end

  # Step 3: Vision description (Gemini Flash — independent, for CRM/metadata)
  at 3, 'Step 3/3: Vision analysis...'
  if analysis[:needs_vision]
    begin
      result = ImageAnalysis::VisionAnalyzer.call(image, force: @force)
      if result.success?
        log_info "Image #{image_id}: Vision analysis complete"
      else
        log_error "Image #{image_id}: Vision failed: #{result.error}"
      end
    rescue StandardError => e
      log_error "Image #{image_id}: Vision failed: #{e.message}"
    end
  end

  at 4, 'Complete!'
  store info_message: 'AI analysis complete'
  log_info "Image #{image_id}: Complete"
rescue StandardError => e
  store error_message: "Error: #{e.message}"
  log_error "Error for Image #{image_id}: #{e.message}"
  ErrorReporting.error(e)
  raise
end