Class: Collavre::MergeCommentsJob

Inherits:
ApplicationJob
  • Object
show all
Includes:
AiAgentResolvable, CommentSerializable
Defined in:
app/jobs/collavre/merge_comments_job.rb

Constant Summary collapse

SYSTEM_PROMPT = 
<<~PROMPT.freeze
  You are merging multiple chat messages into a single coherent message.
  Synthesize the content from all messages, preserving all important information,
  decisions, action items, and context.
  Do not add commentary about the merge process itself.
  Respond in the same language as the original messages.
  Use markdown formatting for readability.
PROMPT

Instance Method Summary collapse

Instance Method Details

#perform(creative_id, comment_ids, user_id) ⇒ Object

rubocop:disable Lint/UnusedMethodArgument – user_id reserved for future audit/notification use



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# File 'app/jobs/collavre/merge_comments_job.rb', line 17

def perform(creative_id, comment_ids, user_id) # rubocop:disable Lint/UnusedMethodArgument -- user_id reserved for future audit/notification use
  creative = Creative.find(creative_id)

  # Fetch comments in chronological order
  comments = creative.comments
    .where(id: comment_ids)
    .order(created_at: :asc)
    .includes(:user, images_attachments: :blob)
    .to_a

  return if comments.size < 2

  target_comment = comments.first
  topic_id = target_comment.topic_id

  # Build conversation text
  conversation = comments.map do |c|
    author = c.user&.name || I18n.t("collavre.comments.anonymous")
    "#{author}: #{c.content}"
  end.join("\n\n")

  # Resolve AI agent (same as /compress — agent is required)
  agent = resolve_ai_agent(creative, topic_id)

  unless agent
    Rails.logger.error("[MergeCommentsJob] No AI agent found for creative #{creative_id}")
    return
  end

  client = AiClient.new(
    vendor: agent.llm_vendor,
    model: agent.llm_model,
    system_prompt: SYSTEM_PROMPT,
    llm_api_key: agent.llm_api_key || agent.creator&.llm_api_key,
    gateway_url: agent.gateway_url.presence || agent.creator&.gateway_url,
    context: {
      creative: creative,
      user: agent,
      topic_id: topic_id
    }
  )

  merged_content = String.new
  result = client.chat([ { role: "user", text: conversation } ]) do |delta|
    merged_content << delta
  end

  # AiClient returns nil on error (but still yields error text as delta).
  # Check both: return value must be truthy AND content must be non-blank.
  if result.nil? || merged_content.blank?
    Rails.logger.error("[MergeCommentsJob] AI failed for comments #{comment_ids}")
    return
  end

  # Update the first comment and delete the rest atomically
  remaining_ids = comments[1..].map(&:id)
  ActiveRecord::Base.transaction do
    # Save snapshot for recovery before modifying/deleting originals
    CommentSnapshot.create!(
      creative: creative,
      topic_id: topic_id,
      user_id: user_id,
      operation: "merge",
      comments_data: serialize_comments(comments),
      result_comment: target_comment
    )

    target_comment.update!(content: merged_content)
    creative.comments.where(id: remaining_ids).destroy_all
  end
rescue ActiveRecord::RecordNotFound => e
  Rails.logger.error("[MergeCommentsJob] Record not found: #{e.message}")
end