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

View File

@@ -0,0 +1,140 @@
class Captain::Onboarding::WebsiteAnalyzerService < Llm::BaseAiService
include Integrations::LlmInstrumentation
MAX_CONTENT_LENGTH = 8000
def initialize(website_url)
super()
@website_url = normalize_url(website_url)
@website_content = nil
@favicon_url = nil
end
def analyze
fetch_website_content
return error_response('Failed to fetch website content') unless @website_content
extract_business_info
rescue StandardError => e
Rails.logger.error "[Captain Onboarding] Website analysis error: #{e.message}"
error_response(e.message)
end
private
def normalize_url(url)
return url if url.match?(%r{\Ahttps?://})
"https://#{url}"
end
def fetch_website_content
crawler = Captain::Tools::SimplePageCrawlService.new(@website_url)
text_content = crawler.body_text_content
page_title = crawler.page_title
meta_description = crawler.meta_description
if page_title.blank? && meta_description.blank? && text_content.blank?
Rails.logger.error "[Captain Onboarding] Failed to fetch #{@website_url}: No content found"
return false
end
combined_content = []
combined_content << "Title: #{page_title}" if page_title.present?
combined_content << "Description: #{meta_description}" if meta_description.present?
combined_content << text_content
@website_content = clean_and_truncate_content(combined_content.join("\n\n"))
@favicon_url = crawler.favicon_url
true
rescue StandardError => e
Rails.logger.error "[Captain Onboarding] Failed to fetch #{@website_url}: #{e.message}"
false
end
def clean_and_truncate_content(content)
cleaned = content.gsub(/\s+/, ' ').strip
cleaned.length > MAX_CONTENT_LENGTH ? cleaned[0...MAX_CONTENT_LENGTH] : cleaned
end
def extract_business_info
response = instrument_llm_call(instrumentation_params) do
chat
.with_params(response_format: { type: 'json_object' }, max_tokens: 1000)
.with_temperature(0.1)
.with_instructions(build_analysis_prompt)
.ask(@website_content)
end
parse_llm_response(response.content)
end
def instrumentation_params
{
span_name: 'llm.captain.website_analyzer',
model: @model,
temperature: 0.1,
feature_name: 'website_analyzer',
messages: [
{ role: 'system', content: build_analysis_prompt },
{ role: 'user', content: @website_content }
],
metadata: { website_url: @website_url }
}
end
def build_analysis_prompt
<<~PROMPT
Analyze the following website content and extract business information. Return a JSON response with the following structure:
{
"business_name": "The company or business name",
"suggested_assistant_name": "A friendly assistant name (e.g., 'Captain Assistant', 'Support Genie', etc.)",
"description": "Persona of the assistant based on the business type"
}
Guidelines:
- business_name: Extract the actual company/brand name from the content
- suggested_assistant_name: Create a friendly, professional name that customers would want to interact with
- description: Provide context about the business and what the assistant can help with. Keep it general and adaptable rather than overly specific. For example: "You specialize in helping customers with their orders and product questions" or "You assist customers with their account needs and general inquiries"
Website content:
#{@website_content}
Return only valid JSON, no additional text.
PROMPT
end
def parse_llm_response(response_text)
parsed_response = JSON.parse(response_text.strip)
{
success: true,
data: {
business_name: parsed_response['business_name'],
suggested_assistant_name: parsed_response['suggested_assistant_name'],
description: parsed_response['description'],
website_url: @website_url,
favicon_url: @favicon_url
}
}
rescue JSON::ParserError => e
Rails.logger.error "[Captain Onboarding] JSON parsing error: #{e.message}"
Rails.logger.error "[Captain Onboarding] Raw response: #{response_text}"
error_response('Failed to parse business information from website')
end
def error_response(message)
{
success: false,
error: message,
data: {
business_name: '',
suggested_assistant_name: '',
description: '',
website_url: @website_url,
favicon_url: nil
}
}
end
end