Initial commit: Add logistics and order_detail message types
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- Add Logistics component with progress tracking
- Add OrderDetail component for order information
- Support data-driven steps and actions
- Add blue color scale to widget SCSS
- Fix node overflow and progress bar rendering issues
- Add English translations for dashboard components

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Liang XJ
2026-01-26 11:16:56 +08:00
commit 092fb2e083
7646 changed files with 975643 additions and 0 deletions

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require 'liquid'
class Captain::PromptRenderer
class << self
def render(template_name, context = {})
template = load_template(template_name)
liquid_template = Liquid::Template.parse(template)
liquid_template.render(stringify_keys(context))
end
private
def load_template(template_name)
template_path = Rails.root.join('enterprise', 'lib', 'captain', 'prompts', "#{template_name}.liquid")
raise "Template not found: #{template_name}" unless File.exist?(template_path)
File.read(template_path)
end
def stringify_keys(hash)
hash.deep_stringify_keys
end
end
end

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# System Context
You are part of Captain, a multi-agent AI system designed for seamless agent coordination and task execution. You can transfer conversations to specialized agents using handoff functions (e.g., `handoff_to_[agent_name]`). These transfers happen in the background - never mention or draw attention to them in your responses.
# Your Identity
You are {{name}}, a helpful and knowledgeable assistant. Your role is to primarily act as a orchestrator handling multiple scenarios by using handoff tools. Your job also involves providing accurate information, assisting with tasks, and ensuring the customer get the help they need.
{{ description }}
Don't digress away from your instructions, and use all the available tools at your disposal for solving customer issues. If you are to state something factual about {{product_name}} ensure you source that information from the FAQs only. Use the `captain--tools--faq_lookup` tool for this.
{% if conversation || contact -%}
# Current Context
Here's the metadata we have about the current conversation and the contact associated with it:
{% if conversation -%}
{% render 'conversation' %}
{% endif -%}
{% if contact -%}
{% render 'contact' %}
{% endif -%}
{% endif -%}
{% if response_guidelines.size > 0 -%}
# Response Guidelines
Your responses should follow these guidelines:
{% for guideline in response_guidelines -%}
- {{ guideline }}
- Be conversational but professional
- Provide actionable information
- Include relevant details from tool responses
{% endfor %}
{% endif -%}
{% if guardrails.size > 0 -%}
# Guardrails
Always respect these boundaries:
{% for guardrail in guardrails -%}
- {{ guardrail }}
{% endfor %}
{% endif -%}
# Decision Framework
## 1. Analyze the Request
First, understand what the user is asking:
- **Intent**: What are they trying to achieve?
- **Type**: Is it a question, task, complaint, or request?
- **Complexity**: Can you handle it or does it need specialized expertise?
## 2. Check for Specialized Scenarios First
Before using any tools, check if the request matches any of these scenarios. If it seems like a particular scenario matches, use the specific handoff tool to transfer the conversation to the specific agent. The following are the scenario agents that are available to you.
{% for scenario in scenarios -%}
- {{ scenario.title }}: {{ scenario.description }}, use the `handoff_to_{{ scenario.key }}` tool to transfer the conversation to the {{ scenario.title }} agent.
{% endfor %}
If unclear, ask clarifying questions to determine if a scenario applies:
## 3. Handle the Request
If no specialized scenario clearly matches, handle it yourself in the following way
### For Questions and Information Requests
1. **First, check existing knowledge**: Use `captain--tools--faq_lookup` tool to search for relevant information
2. **If not found in FAQs**: Try to ask clarifying questions to gather more information
3. **If unable to answer**: Use `captain--tools--handoff` tool to transfer to a human expert
### For Complex or Unclear Requests
1. **Ask clarifying questions**: Gather more information if needed
2. **Break down complex tasks**: Handle step by step or hand off if too complex
3. **Escalate when necessary**: Use `captain--tools--handoff` tool for issues beyond your capabilities
# Human Handoff Protocol
Transfer to a human agent when:
- User explicitly requests human assistance
- You cannot find needed information after checking FAQs
- The issue requires specialized knowledge or permissions you don't have
- Multiple attempts to help have been unsuccessful
When using the `captain--tools--handoff` tool, provide a clear reason that helps the human agent understand the context.

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# System context
You are part of a multi-agent system where you've been handed off a conversation to handle a specific task. The handoff was seamless - the user is not aware of any transfer. Continue the conversation naturally.
# Your Role
You are a specialized agent called "{{ title }}", your task is to handle the following scenario:
{{ instructions }}
If you believe the user's request is not within the scope of your role, you can assign this conversation back to the orchestrator agent using the `handoff_to_{{ assistant_name }}` tool
{% if conversation || contact %}
# Current Context
Here's the metadata we have about the current conversation and the contact associated with it:
{% if conversation -%}
{% render 'conversation' %}
{% endif -%}
{% if contact -%}
{% render 'contact' %}
{% endif -%}
{% endif -%}
{% if response_guidelines.size > 0 -%}
# Response Guidelines
Your responses should follow these guidelines:
{% for guideline in response_guidelines -%}
- {{ guideline }}
{% endfor %}
{% endif -%}
{% if guardrails.size > 0 -%}
# Guardrails
Always respect these boundaries:
{% for guardrail in guardrails -%}
- {{ guardrail }}
{% endfor %}
{% endif -%}
{% if tools.size > 0 -%}
# Available Tools
You have access to these tools:
{% for tool in tools -%}
- {{ tool.id }}: {{ tool.description }}
{% endfor %}
{%- endif %}

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# Contact Information
- Contact ID: {{ contact.id }}
- Name: {{ contact.name || "Unknown" }}
- Email: {{ contact.email || "None" }}
- Phone: {{ contact.phone_number || "None" }}
- Identifier: {{ contact.identifier || "None" }}
- Type: {{ contact.contact_type || "visitor" }}
{% if contact.custom_attributes -%}
{% for attribute in contact.custom_attributes -%}
- {{ attribute[0] }}: {{ attribute[1] }}
{% endfor -%}
{% endif -%}
{% if contact.additional_attributes -%}
{% for attribute in contact.additional_attributes -%}
- {{ attribute[0] }}: {{ attribute[1] }}
{% endfor -%}
{% endif -%}

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# Current Conversation Context
- Conversation ID: {{ conversation.display_id }}
- Contact ID: {{ conversation.contact_id }}
- Status: {{ conversation.status }}
- Priority: {{ conversation.priority || "None" }}
{% if conversation.label_list.size > 0 -%}
- Labels: {{ conversation.label_list | join: ", " }}
{% endif -%}
{% if conversation.custom_attributes -%}
{% for attribute in conversation.custom_attributes -%}
- {{ attribute[0] }}: {{ attribute[1] }}
{% endfor -%}
{% endif -%}
{% if conversation.additional_attributes -%}
{% for attribute in conversation.additional_attributes -%}
- {{ attribute[0] }}: {{ attribute[1] }}
{% endfor -%}
{% endif -%}

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# TODO: Wrap the schema lib under ai-agents
# So we can extend it as Agents::Schema
class Captain::ResponseSchema < RubyLLM::Schema
string :response, description: 'The message to send to the user'
string :reasoning, description: "Agent's thought process"
end

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class Captain::Tools::AddContactNoteTool < Captain::Tools::BasePublicTool
description 'Add a note to a contact profile'
param :note, type: 'string', desc: 'The note content to add to the contact'
def perform(tool_context, note:)
contact = find_contact(tool_context.state)
return 'Contact not found' unless contact
return 'Note content is required' if note.blank?
log_tool_usage('add_contact_note', { contact_id: contact.id, note_length: note.length })
create_contact_note(contact, note)
"Note added successfully to contact #{contact.name} (ID: #{contact.id})"
end
private
def create_contact_note(contact, note)
contact.notes.create!(content: note)
end
def permissions
%w[contact_manage]
end
end

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class Captain::Tools::AddLabelToConversationTool < Captain::Tools::BasePublicTool
description 'Add a label to a conversation'
param :label_name, type: 'string', desc: 'The name of the label to add'
def perform(tool_context, label_name:)
conversation = find_conversation(tool_context.state)
return 'Conversation not found' unless conversation
label_name = label_name&.strip&.downcase
return 'Label name is required' if label_name.blank?
label = find_label(label_name)
return 'Label not found' unless label
add_label_to_conversation(conversation, label_name)
log_tool_usage('added_label', conversation_id: conversation.id, label: label_name)
"Label '#{label_name}' added to conversation ##{conversation.display_id}"
end
private
def find_label(label_name)
account_scoped(Label).find_by(title: label_name)
end
def add_label_to_conversation(conversation, label_name)
conversation.add_labels(label_name)
rescue StandardError => e
Rails.logger.error "Failed to add label to conversation: #{e.message}"
raise
end
end

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class Captain::Tools::AddPrivateNoteTool < Captain::Tools::BasePublicTool
description 'Add a private note to a conversation'
param :note, type: 'string', desc: 'The private note content'
def perform(tool_context, note:)
conversation = find_conversation(tool_context.state)
return 'Conversation not found' unless conversation
return 'Note content is required' if note.blank?
log_tool_usage('add_private_note', { conversation_id: conversation.id, note_length: note.length })
create_private_note(conversation, note)
'Private note added successfully'
end
private
def create_private_note(conversation, note)
conversation.messages.create!(
account: @assistant.account,
inbox: conversation.inbox,
sender: @assistant,
message_type: :outgoing,
content: note,
private: true
)
end
def permissions
%w[conversation_manage conversation_unassigned_manage conversation_participating_manage]
end
end

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require 'agents'
class Captain::Tools::BasePublicTool < Agents::Tool
def initialize(assistant)
@assistant = assistant
super()
end
def active?
# Public tools are always active
true
end
def permissions
# Override in subclasses to specify required permissions
# Returns empty array for public tools (no permissions required)
[]
end
private
def account_scoped(model_class)
model_class.where(account_id: @assistant.account_id)
end
def find_conversation(state)
conversation_id = state&.dig(:conversation, :id)
return nil unless conversation_id
account_scoped(::Conversation).find_by(id: conversation_id)
end
def find_contact(state)
contact_id = state&.dig(:contact, :id)
return nil unless contact_id
account_scoped(::Contact).find_by(id: contact_id)
end
def log_tool_usage(action, details = {})
Rails.logger.info do
"#{self.class.name}: #{action} for assistant #{@assistant&.id} - #{details.inspect}"
end
end
end

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class Captain::Tools::FaqLookupTool < Captain::Tools::BasePublicTool
description 'Search FAQ responses using semantic similarity to find relevant answers'
param :query, type: 'string', desc: 'The question or topic to search for in the FAQ database'
def perform(_tool_context, query:)
log_tool_usage('searching', { query: query })
# Use existing vector search on approved responses
responses = @assistant.responses.approved.search(query).to_a
if responses.empty?
log_tool_usage('no_results', { query: query })
"No relevant FAQs found for: #{query}"
else
log_tool_usage('found_results', { query: query, count: responses.size })
format_responses(responses)
end
end
private
def format_responses(responses)
responses.map { |response| format_response(response) }.join
end
def format_response(response)
formatted_response = "
Question: #{response.question}
Answer: #{response.answer}
"
if should_show_source?(response)
formatted_response += "
Source: #{response.documentable.external_link}
"
end
formatted_response
end
def should_show_source?(response)
return false if response.documentable.blank?
return false unless response.documentable.try(:external_link)
# Don't show source if it's a PDF placeholder
external_link = response.documentable.external_link
!external_link.start_with?('PDF:')
end
end

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class Captain::Tools::HandoffTool < Captain::Tools::BasePublicTool
description 'Hand off the conversation to a human agent when unable to assist further'
param :reason, type: 'string', desc: 'The reason why handoff is needed (optional)', required: false
def perform(tool_context, reason: nil)
conversation = find_conversation(tool_context.state)
return 'Conversation not found' unless conversation
# Log the handoff with reason
log_tool_usage('tool_handoff', {
conversation_id: conversation.id,
reason: reason || 'Agent requested handoff'
})
# Use existing handoff mechanism from ResponseBuilderJob
trigger_handoff(conversation, reason)
"Conversation handed off to human support team#{" (Reason: #{reason})" if reason}"
rescue StandardError => e
ChatwootExceptionTracker.new(e).capture_exception
'Failed to handoff conversation'
end
private
def trigger_handoff(conversation, reason)
# post the reason as a private note
conversation.messages.create!(
message_type: :outgoing,
private: true,
sender: @assistant,
account: conversation.account,
inbox: conversation.inbox,
content: reason
)
# Trigger the bot handoff (sets status to open + dispatches events)
conversation.bot_handoff!
# Send out of office message if applicable (since template messages were suppressed while Captain was handling)
send_out_of_office_message_if_applicable(conversation)
end
def send_out_of_office_message_if_applicable(conversation)
::MessageTemplates::Template::OutOfOffice.perform_if_applicable(conversation)
end
# TODO: Future enhancement - Add team assignment capability
# This tool could be enhanced to:
# 1. Accept team_id parameter for routing to specific teams
# 2. Set conversation priority based on handoff reason
# 3. Add metadata for intelligent agent assignment
# 4. Support escalation levels (L1 -> L2 -> L3)
#
# Example future signature:
# param :team_id, type: 'string', desc: 'ID of team to assign conversation to', required: false
# param :priority, type: 'string', desc: 'Priority level (low/medium/high/urgent)', required: false
# param :escalation_level, type: 'string', desc: 'Support level (L1/L2/L3)', required: false
end

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require 'agents'
class Captain::Tools::HttpTool < Agents::Tool
def initialize(assistant, custom_tool)
@assistant = assistant
@custom_tool = custom_tool
super()
end
def active?
@custom_tool.enabled?
end
def perform(tool_context, **params)
url = @custom_tool.build_request_url(params)
body = @custom_tool.build_request_body(params)
response = execute_http_request(url, body, tool_context)
@custom_tool.format_response(response.body)
rescue StandardError => e
Rails.logger.error("HttpTool execution error for #{@custom_tool.slug}: #{e.class} - #{e.message}")
'An error occurred while executing the request'
end
private
PRIVATE_IP_RANGES = [
IPAddr.new('127.0.0.0/8'), # IPv4 Loopback
IPAddr.new('10.0.0.0/8'), # IPv4 Private network
IPAddr.new('172.16.0.0/12'), # IPv4 Private network
IPAddr.new('192.168.0.0/16'), # IPv4 Private network
IPAddr.new('169.254.0.0/16'), # IPv4 Link-local
IPAddr.new('::1'), # IPv6 Loopback
IPAddr.new('fc00::/7'), # IPv6 Unique local addresses
IPAddr.new('fe80::/10') # IPv6 Link-local
].freeze
# Limit response size to prevent memory exhaustion and match LLM token limits
# 1MB of text ≈ 250K tokens, which exceeds most LLM context windows
MAX_RESPONSE_SIZE = 1.megabyte
def execute_http_request(url, body, tool_context)
uri = URI.parse(url)
# Check if resolved IP is private
check_private_ip!(uri.host)
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == 'https'
http.read_timeout = 30
http.open_timeout = 10
http.max_retries = 0 # Disable redirects
request = build_http_request(uri, body)
apply_authentication(request)
apply_metadata_headers(request, tool_context)
response = http.request(request)
raise "HTTP request failed with status #{response.code}" unless response.is_a?(Net::HTTPSuccess)
validate_response!(response)
response
end
def check_private_ip!(hostname)
ip_address = IPAddr.new(Resolv.getaddress(hostname))
raise 'Request blocked: hostname resolves to private IP address' if PRIVATE_IP_RANGES.any? { |range| range.include?(ip_address) }
rescue Resolv::ResolvError, SocketError => e
raise "DNS resolution failed: #{e.message}"
end
def validate_response!(response)
content_length = response['content-length']&.to_i
if content_length && content_length > MAX_RESPONSE_SIZE
raise "Response size #{content_length} bytes exceeds maximum allowed #{MAX_RESPONSE_SIZE} bytes"
end
return unless response.body && response.body.bytesize > MAX_RESPONSE_SIZE
raise "Response body size #{response.body.bytesize} bytes exceeds maximum allowed #{MAX_RESPONSE_SIZE} bytes"
end
def build_http_request(uri, body)
if @custom_tool.http_method == 'POST'
request = Net::HTTP::Post.new(uri.request_uri)
if body
request.body = body
request['Content-Type'] = 'application/json'
end
else
request = Net::HTTP::Get.new(uri.request_uri)
end
request
end
def apply_authentication(request)
headers = @custom_tool.build_auth_headers
headers.each { |key, value| request[key] = value }
credentials = @custom_tool.build_basic_auth_credentials
request.basic_auth(*credentials) if credentials
end
def apply_metadata_headers(request, tool_context)
state = tool_context&.state || {}
metadata_headers = @custom_tool.build_metadata_headers(state)
metadata_headers.each { |key, value| request[key] = value }
end
end

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class Captain::Tools::UpdatePriorityTool < Captain::Tools::BasePublicTool
description 'Update the priority of a conversation'
param :priority, type: 'string', desc: 'The priority level: low, medium, high, urgent, or nil to remove priority'
def perform(tool_context, priority:)
@conversation = find_conversation(tool_context.state)
return 'Conversation not found' unless @conversation
@normalized_priority = normalize_priority(priority)
return "Invalid priority. Valid options: #{valid_priority_options}" unless valid_priority?(@normalized_priority)
log_tool_usage('update_priority', { conversation_id: @conversation.id, priority: priority })
execute_priority_update
end
private
def execute_priority_update
update_conversation_priority(@conversation, @normalized_priority)
priority_text = @normalized_priority || 'none'
"Priority updated to '#{priority_text}' for conversation ##{@conversation.display_id}"
end
def normalize_priority(priority)
return nil if priority == 'nil' || priority.blank?
priority.downcase
end
def valid_priority?(priority)
valid_priorities.include?(priority)
end
def valid_priorities
@valid_priorities ||= [nil] + Conversation.priorities.keys
end
def valid_priority_options
(valid_priorities.compact + ['nil']).join(', ')
end
def update_conversation_priority(conversation, priority)
conversation.update!(priority: priority)
end
def permissions
%w[conversation_manage conversation_unassigned_manage conversation_participating_manage]
end
end

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module Enterprise
end

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module Enterprise::Integrations::OpenaiProcessorService
ALLOWED_EVENT_NAMES = %w[rephrase summarize reply_suggestion label_suggestion fix_spelling_grammar shorten expand
make_friendly make_formal simplify].freeze
CACHEABLE_EVENTS = %w[label_suggestion].freeze
def label_suggestion_message
payload = label_suggestion_body
return nil if payload.blank?
response = make_api_call(label_suggestion_body)
return response if response[:error].present?
# LLMs are not deterministic, so this is bandaid solution
# To what you ask? Sometimes, the response includes
# "Labels:" in it's response in some format. This is a hacky way to remove it
# TODO: Fix with with a better prompt
{ message: response[:message] ? response[:message].gsub(/^(label|labels):/i, '') : '' }
end
private
def labels_with_messages
return nil unless valid_conversation?(conversation)
labels = hook.account.labels.pluck(:title).join(', ')
character_count = labels.length
messages = init_messages_body(false)
add_messages_until_token_limit(conversation, messages, false, character_count)
return nil if messages.blank? || labels.blank?
"Messages:\n#{messages}\nLabels:\n#{labels}"
end
def valid_conversation?(conversation)
return false if conversation.nil?
return false if conversation.messages.incoming.count < 3
# Think Mark think, at this point the conversation is beyond saving
return false if conversation.messages.count > 100
# if there are more than 20 messages, only trigger this if the last message is from the client
return false if conversation.messages.count > 20 && !conversation.messages.last.incoming?
true
end
def summarize_body
{
model: self.class::GPT_MODEL,
messages: [
{ role: 'system',
content: prompt_from_file('summary', enterprise: true) },
{ role: 'user', content: conversation_messages }
]
}.to_json
end
def label_suggestion_body
return unless label_suggestions_enabled?
content = labels_with_messages
return value_from_cache if content.blank?
{
model: self.class::GPT_MODEL,
messages: [
{
role: 'system',
content: prompt_from_file('label_suggestion', enterprise: true)
},
{ role: 'user', content: content }
]
}.to_json
end
def label_suggestions_enabled?
hook.settings['label_suggestion'].present?
end
end

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Your role is as an assistant to a customer support agent. You will be provided with a transcript of a conversation between a customer and the support agent, along with a list of potential labels. Your task is to analyze the conversation and select the two labels from the given list that most accurately represent the themes or issues discussed. Ensure you preserve the exact casing of the labels as they are provided in the list. Do not create new labels; only choose from those provided. Once you have made your selections, please provide your response as a comma-separated list of the provided labels. Remember, your response should only contain the labels you\'ve selected,in their original casing, and nothing else.

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As an AI-powered summarization tool, your task is to condense lengthy interactions between customer support agents and customers into brief, digestible summaries. The objective of these summaries is to provide a quick overview, enabling any agent, even those without prior context, to grasp the essence of the conversation promptly.
Make sure you strongly adhere to the following rules when generating the summary
1. Be brief and concise. The shorter the summary the better.
2. Aim to summarize the conversation in approximately 200 words, formatted as multiple small paragraphs that are easier to read.
3. Describe the customer intent in around 50 words.
4. Remove information that is not directly relevant to the customer's problem or the agent's solution. For example, personal anecdotes, small talk, etc.
5. Don't include segments of the conversation that didn't contribute meaningful content, like greetings or farewell.
6. The 'Action Items' should be a bullet list, arranged in order of priority if possible.
7. 'Action Items' should strictly encapsulate tasks committed to by the agent or left incomplete. Any suggestions made by the agent should not be included.
8. The 'Action Items' should be brief and concise
9. Mark important words or parts of sentences as bold.
10. Apply markdown syntax to format any included code, using backticks.
11. Include a section for "Follow-up Items" or "Open Questions" if there are any unresolved issues or outstanding questions.
12. If any section does not have any content, remove that section and the heading from the response
13. Do not insert your own opinions about the conversation.
Reply in the user's language, as a markdown of the following format.
**Customer Intent**
**Conversation Summary**
**Action Items**
**Follow-up Items**

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namespace :search do
desc 'Reindex messages for all accounts'
task all: :environment do
next unless check_opensearch_config
puts 'Starting reindex for all accounts...'
account_count = Account.count
puts "Found #{account_count} accounts"
Account.find_each.with_index(1) do |account, index|
puts "[#{index}/#{account_count}] Reindexing messages for account #{account.id}"
reindex_account(account)
end
puts 'Reindex task queued for all accounts'
end
desc 'Reindex messages for a specific account: rake search:account ACCOUNT_ID=1'
task account: :environment do
next unless check_opensearch_config
account_id = ENV.fetch('ACCOUNT_ID', nil)
account = Account.find_by(id: account_id)
if account.nil?
puts 'Please provide a valid account ID. Account not found'
next
end
puts "Reindexing messages for account #{account.id}"
reindex_account(account)
end
end
def check_opensearch_config
if ENV['OPENSEARCH_URL'].blank?
puts 'Skipping reindex as OPENSEARCH_URL is not configured'
return false
end
true
end
def reindex_account(account)
Messages::ReindexService.new(account: account).perform
puts "Reindex task queued for account #{account.id}"
end