// Slide 12: with_structured_output -- the recommended v1.0 way
// Code slide: model.with_structured_output(Schema) instead of legacy parsers.

const ds = require('./design-system');

function createSlide(pres, theme) {
  const slide = pres.addSlide();
  ds.helpers.slideBase(slide, pres, theme);

  ds.helpers.addHeader(slide, pres, theme, {
    eyebrow: 'STAGE 1: CHAINS',
    section: 'Output parsers',
    title: 'with_structured_output -- рекомендованный путь',
    sectionNumber: 1,
  });

  ds.helpers.addCodeBlock(slide, pres, theme, {
    x: 0.5, y: 1.5, w: 9.0, h: 3.25,
    language: 'python',
    filePath: 'examples/structured.py',
    code: [
      'from pydantic import BaseModel, Field',
      'from langchain.chat_models import init_chat_model',
      '',
      'class Weather(BaseModel):',
      '    city: str = Field(description="City name")',
      '    temperature_c: float = Field(description="Temperature in Celsius")',
      '    conditions: str = Field(description="Weather summary")',
      '',
      '# Один вызов -- и модель возвращает типизированный Pydantic-объект',
      'model = init_chat_model("openai:gpt-4.1-mini")',
      'structured = model.with_structured_output(Weather)',
      '',
      'result: Weather = structured.invoke("Weather in Paris?")',
      'print(result.city, result.temperature_c, result.conditions)',
      '',
      '# method="json_mode" -- если провайдер не поддерживает tool calling',
      '# structured_json = model.with_structured_output(Weather, method="json_mode")',
    ].join('\n'),
  });

  ds.helpers.addCallout(slide, pres, theme, {
    x: 0.5, y: 4.85, w: 9.0, h: 0.3,
    kind: 'info',
    text: 'Под капотом: tool calling или provider-native JSON mode. Без extra LLM-вызовов, в один проход.',
  });

  ds.helpers.addSourceLine(slide, pres, theme, {
    source: 'python.langchain.com/docs/how_to/structured_output/',
  });
  ds.helpers.addPageNumber(slide, pres, theme, 12);
}

module.exports = { createSlide };