// Define the structure of our market analysis data
const analysisSchema = z.object({
  marketData: z.object({
    trends: z.array(z.object({
      metric: z.string(),
      value: z.number()
    })),
    summary: z.string()
  }),
  competitors: z.array(z.object({
    name: z.string(),
    strengths: z.array(z.string()),
    weaknesses: z.array(z.string())
  })),
  recommendations: z.object({
    immediate: z.array(z.string()),
    longTerm: z.array(z.string()),
    budget: z.number()
  })
});

for await (const chunk of stream) {
  // 1. Visualize market trends as soon as they're available
  if (isPathComplete(['marketData', 'trends'], chunk)) {
    initializeCharts(chunk.marketData.trends);
  }
 
  // 2. Process competitor data as each competitor entry completes
  chunk._meta._completedPaths.forEach(path => {
    if (path[0] === 'competitors' && path.length === 2) {
      const competitor = chunk.competitors[path[1] as number];
      fetchCompetitorData(competitor.name);
    }
  });
 
  // 3. Handle budget planning when both requirements are met
  if (isPathComplete(['recommendations', 'immediate'], chunk) && 
      isPathComplete(['recommendations', 'budget'], chunk)) {
    planBudgetAllocation({
      actions: chunk.recommendations.immediate,
      budget: chunk.recommendations.budget
    });
  }
}

const documentSchema = z.object({
  metadata: z.object({
    title: z.string(),
    author: z.string(),
    topics: z.array(z.string())
  }),
  sections: z.array(z.object({
    heading: z.string(),
    content: z.string(),
    annotations: z.array(z.object({
      type: z.string(),
      text: z.string(),
      confidence: z.number()
    }))
  })),
  summary: z.object({
    abstract: z.string(),
    keyPoints: z.array(z.string()),
    readingTime: z.number()
  })
});

for await (const chunk of stream) {
  // 1. Start document indexing when metadata arrives
  if (isPathComplete(['metadata'], chunk)) {
    indexDocument({
      title: chunk.metadata.title,
      topics: chunk.metadata.topics
    });
  }
 
  // 2. Process section annotations as they complete
  chunk._meta._completedPaths.forEach(path => {
    if (path[0] === 'sections' && isPathComplete([...path, 'annotations'], chunk)) {
      const sectionIndex = path[1] as number;
      const section = chunk.sections[sectionIndex];
      processAnnotations({
        heading: section.heading,
        annotations: section.annotations
      });
    }
  });
 
  // 3. Generate preview when required fields are available
  if (isPathComplete(['summary', 'abstract'], chunk) && 
      isPathComplete(['summary', 'readingTime'], chunk)) {
    generatePreview({
      abstract: chunk.summary.abstract,
      readingTime: chunk.summary.readingTime
    });
  }
}

const productSchema = z.object({
  basic: z.object({
    id: z.string(),
    name: z.string(),
    category: z.string()
  }),
  pricing: z.object({
    base: z.number(),
    discounts: z.array(z.object({
      type: z.string(),
      amount: z.number()
    })),
    final: z.number()
  }),
  inventory: z.object({
    status: z.string(),
    locations: z.array(z.object({
      id: z.string(),
      quantity: z.number()
    }))
  }),
  enrichment: z.object({
    seoDescription: z.string(),
    searchKeywords: z.array(z.string()),
    relatedProducts: z.array(z.string())
  })
});

for await (const chunk of stream) {
  // 1. Initialize product display with basic info
  if (isPathComplete(['basic'], chunk)) {
    initializeProductCard(chunk.basic);
  }
 
  // 2. Handle pricing and inventory updates
  if (isPathComplete(['pricing', 'final'], chunk)) {
    updatePriceDisplay(chunk.pricing.final);
    
    if (isPathComplete(['inventory', 'status'], chunk)) {
      updateBuyButton({
        price: chunk.pricing.final,
        status: chunk.inventory.status
      });
    }
  }
 
  // 3. Handle SEO optimization
  if (isPathComplete(['enrichment', 'seoDescription'], chunk) &&
      isPathComplete(['enrichment', 'searchKeywords'], chunk)) {
    optimizeProductSEO({
      description: chunk.enrichment.seoDescription,
      keywords: chunk.enrichment.searchKeywords
    });
  }
 
  // 4. Handle related products
  if (isPathComplete(['enrichment', 'relatedProducts'], chunk)) {
    prefetchRelatedProducts(chunk.enrichment.relatedProducts);
  }
}

// schemas/analysis.ts
const schema = z.object({
  summary: z.string(),
  topics: z.array(z.string()),
  sentiment: z.object({
    score: z.number(),
    label: z.string()
  })
});

// pages/api/extract.ts
import { withResponseModel, OAIStream } from "zod-stream";
import { z } from "zod";
import { analysisSchema } from "@/schemas/analysis";
 
// 2. Create the API handler
export default async function handler(req, res) {
  const { content } = await req.json();
 
  // 3. Configure the response model
  const params = withResponseModel({
    response_model: { 
      schema,
      name: "ContentAnalysis"
    },
    mode: "TOOLS",
    params: {
      messages: [{ 
        role: "user", 
        content: `Analyze: ${content}` 
      }],
      model: "gpt-4"
    }
  });
 
  // 4. Create and return the stream
  const stream = await oai.chat.completions.create({
    ...params,
    stream: true
  });
 
  return new Response(OAIStream({ res: stream }));
}

import { useJsonStream } from "stream-hooks";
import { analysisSchema } from "@/schemas/analysis";
import { z } from "zod";
 
 
function AnalysisComponent() {
  const [data, setData] = useState<z.infer<typeof schema>>();
 
  
  const { 
    loading, 
    error,
    startStream 
  } = useJsonStream({
    schema,
    onReceive: (data) => {
      setData(data)
    }
  });
 
  
  return (
    <div>
      <button 
        onClick={() => startStream({
          url: "/api/extract",
          method: "POST",
          body: { content: "..." }
        })}
        disabled={loading}
      >
        Start Analysis
      </button>
 
      {loading && <LoadingState paths={data._meta._completedPaths} />}
      {error && <ErrorDisplay error={error} />}
      
      <ProgressiveDisplay
        data={data}
        isComplete={data._meta._completedPaths.length > 0}
      />
    </div>
  );
}