Class: TestRunner

Inherits:
Object
  • Object
show all
Defined in:
lib/kaba/test_runner.rb

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(path, schema:, type_name:, prompt:, validate:) ⇒ TestRunner

Returns a new instance of TestRunner.



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# File 'lib/kaba/test_runner.rb', line 4

def initialize(path, schema:, type_name:, prompt:, validate:)

  @test_files = Dir.glob(File.join(File.expand_path(path), '*.target.json'))
  @lines = []
  @schema = schema
  @type_name = type_name
  @prompt = prompt || Prompt.new(@schema, @type_name)
  @validate = validate || Validate.new(schema: @schema, type_name: @type_name)

  @type_right_total = 0
  @score_total = 0

end

Class Method Details

.report_template_pathObject



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# File 'lib/kaba/test_runner.rb', line 103

def report_template_path
  @report_template_path || File.join(__dir__, 'report.html.erb')
end

.report_template_path=(path) ⇒ Object



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# File 'lib/kaba/test_runner.rb', line 107

def report_template_path=(path)
  @report_template_path = path
end

Instance Method Details

#_each(limit: nil) ⇒ Object



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# File 'lib/kaba/test_runner.rb', line 18

def _each(limit: nil)
  @test_files.first(limit || @test_files.size).each do |file|
    yield(Row.new(file), self)
  end
end

#save(file_path) ⇒ Object



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# File 'lib/kaba/test_runner.rb', line 95

def save(file_path)
  File.open(File.expand_path(file_path), 'w') do |file|
    file.puts ERB.new(File.read(self.class.report_template_path)).result(binding)
  end
end

#scan(limit: nil, model: 'spark-general-4.0', judge_model: 'spark-general-4.0', judge_temperature: 0.1, temperature: 0.1) ⇒ Object



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# File 'lib/kaba/test_runner.rb', line 24

def scan(
  limit: nil, 
  model: 'spark-general-4.0', 
  judge_model: 'spark-general-4.0',  
  judge_temperature: 0.1, 
  temperature: 0.1
  )

  progressbar = TTY::ProgressBar.new(
    "Test: [:bar] :percent :current/:total",
     total: @test_files.first(limit || @test_files.size).size
  )

  progressbar.start

  Async do
    _each(limit: limit) do |row|
      Async do |task|
        input = @prompt.render(File.read row.input_file)

        target = "        ```json\n        \#{JSON.pretty_generate(JSON.parse(File.read(row.target_path)))}\n        ```\n        Markdown\n        output = \"\"\n        Application.llm_client.chat(\n          parameters: {\n            model: model,\n            messages: [ { role: 'user', content: input } ],\n            temperature: temperature,\n            stream: proc do |chunk, _bytesize|\n              output += chunk.dig(\"choices\", 0, \"delta\", \"content\")\n            end\n          }\n        )\n\n        output_json = JSON.parse_llm_response output\n\n        type_check_response = JSON.parse @validate.run(output_json).body\n        @type_right_total += 1 if type_check_response[\"success\"]\n        \n        judge_input = Judge.new(input: input, output: output, target: target).render\n        judge_response = Application.llm_client.chat(\n          parameters: {\n            model: judge_model,\n            messages: [ { role: 'user', content: judge_input } ],\n            temperature: judge_temperature,\n          }\n        ).dig(\"choices\", 0, \"message\", \"content\")\n\n        judge_json = JSON.parse_llm_response judge_response\n        @score_total += judge_json[\"score\"].to_i\n\n        @lines << {\n          row: row,\n          input: input,\n          output: output,\n          output_json: output_json,\n          type_check_response: type_check_response,\n          target: target,\n          judge_response: judge_response,\n          judge_json: judge_json,\n        }\n\n        progressbar.advance\n      end\n    end\n  end.wait\nend\n"