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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

140 lines
3.9 KiB
Ruby
Executable File

#!/usr/bin/env ruby
# Ruby executable prompt generator
# Demonstrates template-based prompt generation
require 'json'
require 'erb'
# Parse context from command line
begin
context = JSON.parse(ARGV[0] || '{}')
rescue JSON::ParserError => e
STDERR.puts "Error parsing JSON: #{e.message}"
exit 1
end
vars = context['vars'] || {}
provider = context['provider'] || {}
config = context['config'] || {}
# Define prompt templates using ERB
class PromptGenerator
attr_accessor :vars, :config, :provider
def initialize(vars, config, provider)
@vars = vars
@config = config
@provider = provider
end
def generate
template = if vars['useCase'] == 'customer_service'
customer_service_template
elsif vars['useCase'] == 'data_analysis'
data_analysis_template
elsif vars['useCase'] == 'creative_writing'
creative_writing_template
else
default_template
end
ERB.new(template, trim_mode: '-').result(binding)
end
private
def customer_service_template
<<~TEMPLATE
You are a customer service representative for <%= vars['company'] || 'our company' %>.
Customer Profile:
- Name: <%= vars['customerName'] || 'Valued Customer' %>
- Issue Type: <%= vars['issueType'] || 'General Inquiry' %>
- Priority: <%= vars['priority'] || 'Normal' %>
Guidelines:
- Be empathetic and professional
- Acknowledge the customer's concerns
- Provide clear solutions or next steps
- Follow up appropriately
Customer Message: <%= vars['message'] || 'How can I help you today?' %>
Please respond appropriately to resolve the customer's issue.
TEMPLATE
end
def data_analysis_template
<<~TEMPLATE
You are a data analyst examining <%= vars['dataType'] || 'business data' %>.
Analysis Parameters:
- Dataset: <%= vars['dataset'] || 'general dataset' %>
- Time Period: <%= vars['timePeriod'] || 'last quarter' %>
- Focus Areas: <%= vars['focusAreas'] || 'key metrics' %>
Required Analysis:
1. Identify trends and patterns
2. Highlight anomalies or outliers
3. Provide actionable insights
4. Suggest areas for further investigation
<% if vars['specificQuestions'] %>
Specific Questions to Address:
<%= vars['specificQuestions'] %>
<% end %>
Provide a comprehensive analysis with visualizations where appropriate.
TEMPLATE
end
def creative_writing_template
<<~TEMPLATE
You are a creative writer working on <%= vars['genre'] || 'general fiction' %>.
Writing Parameters:
- Style: <%= vars['style'] || 'contemporary' %>
- Tone: <%= vars['tone'] || 'engaging' %>
- Target Audience: <%= vars['audience'] || 'general readers' %>
- Length: <%= vars['length'] || 'medium' %>
<% if vars['prompt'] %>
Writing Prompt: <%= vars['prompt'] %>
<% end %>
<% if vars['characters'] %>
Characters: <%= vars['characters'] %>
<% end %>
<% if vars['setting'] %>
Setting: <%= vars['setting'] %>
<% end %>
Create an original, compelling piece that captures the reader's attention.
TEMPLATE
end
def default_template
<<~TEMPLATE
You are a helpful AI assistant.
Context Information:
- Provider: <%= provider['id'] || 'default' %>
- Task: <%= vars['task'] || 'assist the user' %>
- User: <%= vars['userName'] || 'User' %>
<% if config['temperature'] %>
Response Style: <%= config['temperature'] > 0.7 ? 'Creative' : 'Focused' %>
<% end %>
User Request: <%= vars['request'] || 'Please help me with my task.' %>
Please provide a helpful and appropriate response.
TEMPLATE
end
end
# Generate and output the prompt
generator = PromptGenerator.new(vars, config, provider)
puts generator.generate