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# frozen_string_literal: true
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class OpenAiCompletionsInferenceStubs
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TRANSLATE = "translate"
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PROOFREAD = "proofread"
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GENERATE_TITLES = "generate_titles"
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CUSTOM_PROMPT = "custom_prompt"
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class << self
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def text_mode_to_id(mode)
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case mode
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when TRANSLATE
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-1
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when PROOFREAD
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-3
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when GENERATE_TITLES
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-2
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when CUSTOM_PROMPT
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-5
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end
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end
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def spanish_text
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<<~STRING
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Para que su horror sea perfecto, César, acosado al pie de la estatua por lo impacientes puñales de sus amigos,
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descubre entre las caras y los aceros la de Marco Bruto, su protegido, acaso su hijo,
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y ya no se defiende y exclama: ¡Tú también, hijo mío! Shakespeare y Quevedo recogen el patético grito.
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Al destino le agradan las repeticiones, las variantes, las simetrías; diecinueve siglos después,
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en el sur de la provincia de Buenos Aires, un gaucho es agredido por otros gauchos y, al caer,
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reconoce a un ahijado suyo y le dice con mansa reconvención y lenta sorpresa (estas palabras hay que oírlas, no leerlas):
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¡Pero, che! Lo matan y no sabe que muere para que se repita una escena.
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STRING
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end
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def custom_prompt_input
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"Translate to French"
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end
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def custom_prompt_response
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<<~STRING
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Le destin favorise les répétitions, les variantes, les symétries ;
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STRING
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end
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def translated_response
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<<~STRING
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"To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
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discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
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defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
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Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
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a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
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slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
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dies so that a scene may be repeated."
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STRING
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end
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def generated_titles
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<<~STRING
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1. "The Life and Death of a Nameless Gaucho"
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2. "The Faith of Iron and Courage: A Gaucho's Legacy"
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3. "The Quiet Piece that Moves Literature: A Gaucho's Story"
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4. "The Unknown Hero: A Gaucho's Sacrifice for Country"
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5. "From Dust to Legacy: The Enduring Name of a Gaucho"
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STRING
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end
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def proofread_response
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<<~STRING
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"This excerpt explores the idea of repetition and symmetry in tragic events. The author highlights two instances
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where someone is betrayed by a close friend or protege, uttering a similar phrase of surprise and disappointment
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before their untimely death. The first example refers to Julius Caesar, who upon realizing that one of his own
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friends and proteges, Marcus Brutus, is among his assassins, exclaims \"You too, my son!\" The second example
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is of a gaucho in Buenos Aires, who recognizes his godson among his attackers and utters the words of rebuke
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and surprise, \"But, my friend!\" before he is killed. The author suggests that these tragedies occur so that
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a scene may be repeated, emphasizing the cyclical nature of history and the inevitability of certain events."
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STRING
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end
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def response(content)
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{
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id: "chatcmpl-6sZfAb30Rnv9Q7ufzFwvQsMpjZh8S",
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object: "chat.completion",
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created: 1_678_464_820,
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model: "gpt-3.5-turbo-0301",
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usage: {
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prompt_tokens: 337,
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completion_tokens: 162,
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total_tokens: 499,
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},
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choices: [
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{ message: { role: "assistant", content: content }, finish_reason: "stop", index: 0 },
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],
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}
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end
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def response_text_for(type)
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case type
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when TRANSLATE
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translated_response
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when PROOFREAD
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proofread_response
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when GENERATE_TITLES
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generated_titles
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when CUSTOM_PROMPT
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custom_prompt_response
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end
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end
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def stub_prompt(type)
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user_input = type == TRANSLATE ? spanish_text : translated_response
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id = text_mode_to_id(type)
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if type == CUSTOM_PROMPT
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user_input = { mode: id, text: translated_response, custom_prompt: "Translate to French" }
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elsif type == TRANSLATE
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user_input = { mode: id, text: spanish_text, custom_prompt: "" }
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else
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user_input = { mode: id, text: translated_response, custom_prompt: "" }
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end
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prompt_messages = CompletionPrompt.find_by(id: id).messages_with_user_input(user_input)
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stub_response(prompt_messages, response_text_for(type))
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end
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def stub_response(messages, response_text, model: nil, req_opts: {})
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WebMock
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.stub_request(:post, "https://api.openai.com/v1/chat/completions")
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.with(body: { model: model || "gpt-3.5-turbo", messages: messages }.merge(req_opts).to_json)
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.to_return(status: 200, body: JSON.dump(response(response_text)))
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end
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def stream_line(finish_reason: nil, delta: {})
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+"data: " << {
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id: "chatcmpl-#{SecureRandom.hex}",
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object: "chat.completion.chunk",
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created: 1_681_283_881,
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model: "gpt-3.5-turbo-0301",
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choices: [{ delta: delta }],
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finish_reason: finish_reason,
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index: 0,
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}.to_json
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end
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def stub_streamed_response(messages, deltas, model: nil, req_opts: {})
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chunks = deltas.map { |d| stream_line(delta: d) }
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chunks << stream_line(finish_reason: "stop")
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chunks << "[DONE]"
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chunks = chunks.join("\n\n")
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WebMock
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.stub_request(:post, "https://api.openai.com/v1/chat/completions")
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.with(body: { model: model || "gpt-3.5-turbo", messages: messages }.merge(req_opts).to_json)
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.to_return(status: 200, body: chunks)
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end
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end
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end
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