Files
clientsflow/research/chatwoot/lib/captain/label_suggestion_service.rb

94 lines
2.4 KiB
Ruby

class Captain::LabelSuggestionService < Captain::BaseTaskService
pattr_initialize [:account!, :conversation_display_id!]
def perform
# Check cache first
cached_response = read_from_cache
return cached_response if cached_response.present?
# Build content
content = labels_with_messages
return nil if content.blank?
# Make API call
response = make_api_call(
model: GPT_MODEL, # TODO: Use separate model for label suggestion
messages: [
{ role: 'system', content: prompt_from_file('label_suggestion') },
{ role: 'user', content: content }
]
)
return response if response[:error].present?
# Clean up response
result = { message: response[:message] ? response[:message].gsub(/^(label|labels):/i, '') : '' }
# Cache successful result
write_to_cache(result)
result
end
private
def cache_key
return nil unless conversation
format(
::Redis::Alfred::OPENAI_CONVERSATION_KEY,
event_name: 'label_suggestion',
conversation_id: conversation.id,
updated_at: conversation.last_activity_at.to_i
)
end
def read_from_cache
return nil unless cache_key
cached = Redis::Alfred.get(cache_key)
JSON.parse(cached, symbolize_names: true) if cached.present?
rescue JSON::ParserError
nil
end
def write_to_cache(response)
Redis::Alfred.setex(cache_key, response.to_json) if cache_key
end
def labels_with_messages
return nil unless valid_conversation?(conversation)
labels = account.labels.pluck(:title).join(', ')
messages = format_messages_as_string(start_from: labels.length)
return nil if messages.blank? || labels.blank?
"Messages:\n#{messages}\nLabels:\n#{labels}"
end
def format_messages_as_string(start_from: 0)
messages = conversation_messages(start_from: start_from)
messages.map do |msg|
sender_type = msg[:role] == 'user' ? 'Customer' : 'Agent'
"#{sender_type}: #{msg[:content]}\n"
end.join
end
def valid_conversation?(conversation)
return false if conversation.nil?
return false if conversation.messages.incoming.count < 3
return false if conversation.messages.count > 100
return false if conversation.messages.count > 20 && !conversation.messages.last.incoming?
true
end
def event_name
'label_suggestion'
end
def build_follow_up_context?
false
end
end