src/scraper/scrapeURL/lib/smartScrape.ts

import { z } from "zod";
import { logger as _logger } from "../../../lib/logger";
import { robustFetch } from "./fetch";
import fs from "fs/promises";
import { configDotenv } from "dotenv";

configDotenv();

// Define schemas outside the function scope
const tokenUsageDetailSchema = z.object({
  input_tokens: z.number().int(),
  output_tokens: z.number().int(),
  total_cost: z.number().nullable(), // Allows number or null
});

// Schema for an individual scraped page object
const scrapedPageSchema = z.object({
  html: z.string(),
  reason: z.string(),
  page: z.union([z.string(), z.number()]),
});

// Main schema for the structure returned by the smart-scrape endpoint
const smartScrapeResultSchema = z.object({
  sessionId: z.string(),
  success: z.boolean(),
  scrapedPages: z.array(scrapedPageSchema),
  tokenUsage: z.number(),

  // z.record(
  //   z.string(), // Key is the model name (string)
  //   tokenUsageDetailSchema, // Value matches the detail schema
  // ),
});

// Infer the TypeScript type from the Zod schema
export type SmartScrapeResult = z.infer<typeof smartScrapeResultSchema>;

/**
 * Sends a POST request to the internal /smart-scrape endpoint to extract
 * structured data from a URL based on a prompt.
 *
 * @param url The URL of the page to scrape.
 * @param prompt The prompt guiding the data extraction.
 * @returns A promise that resolves to an object matching the SmartScrapeResult type.
 * @throws Throws an error if the request fails or the response is invalid.
 */
export async function smartScrape({
  url,
  prompt,
  sessionId,
  extractId,
  scrapeId,
  beforeSubmission,
}: {
  url: string,
  prompt: string,
  sessionId?: string,
  extractId?: string,
  scrapeId?: string,
  beforeSubmission?: () => unknown,
}): Promise<SmartScrapeResult> {
  let logger = _logger.child({
    method: "smartScrape",
    module: "smartScrape",
    extractId,
    url,
    prompt,
    sessionId,
    scrapeId,
  });
  try {
    logger.info("Initiating smart scrape request");

    // Pass schema type as generic parameter to robustFeth
    const response = await robustFetch<typeof smartScrapeResultSchema>({
      url: `${process.env.SMART_SCRAPE_API_URL}/smart-scrape`,
      method: "POST",
      body: {
        url,
        prompt,
        userProvidedId: sessionId ?? undefined,
        extractId,
        scrapeId,
        models: {
          thinkingModel: {
            model: "gemini-2.5-pro-preview-03-25",
            provider: "vertex",
            supportTools: true,
            toolChoice: "required",
            cost: {
              input: 1.3,
              output: 5,
            },
          },
          toolModel: {
            model: "gemini-2.0-flash",
            provider: "google",
          },
        },
      },
      schema: smartScrapeResultSchema, // Pass the schema instance for validation
      logger,
      mock: null, // Keep mock null if not mocking
    });

    // Check if the response indicates a 500 error
    // Use type assertion to handle the error response structure
    const errorResponse = response as unknown as {
      success: boolean;
      error?: string;
      details?: string;
    };

    if (
      errorResponse &&
      errorResponse.success === false &&
      errorResponse.error
    ) {
      if (errorResponse.error === "Cost limit exceeded") {
        throw new Error("Cost limit exceeded", {
          cause: { tokenUsage: (errorResponse as any).tokenUsage },
        });
      }

      logger.error("Smart scrape returned error response", {
        url,
        prompt,
        error: errorResponse.error,
        details: errorResponse.details || "No details provided",
      });
      throw new Error(
        `Smart scrape failed: ${errorResponse.error}${errorResponse.details ? ` - ${errorResponse.details}` : ""}`,
      );
    }

    logger.info("Smart scrape successful", {
      sessionId: response.sessionId,
    });

    logger.info("Smart scrape cost $" + response.tokenUsage);

    return response; // The response type now matches SmartScrapeResult
  } catch (error) {
    // Safely extract error information without circular references
    const errorInfo = {
      message: error instanceof Error ? error.message : String(error),
      name: error instanceof Error ? error.name : "Unknown",
      stack: error instanceof Error ? error.stack : undefined,
      // Extract cause safely if it exists
      cause:
        error instanceof Error && error.cause
          ? error.cause instanceof Error
            ? {
                message: error.cause.message,
                name: error.cause.name,
                stack: error.cause.stack,
              }
            : typeof error.cause === "object"
              ? {
                  ...Object.fromEntries(
                    Object.entries(error.cause).filter(
                      ([_, v]) => v !== null && typeof v !== "object",
                    ),
                  ),
                  error:
                    (error.cause as any)?.error?.message ||
                    (error.cause as any)?.error,
                }
              : String(error.cause)
          : undefined,
    };

    logger.error("Smart scrape request failed", {
      error: JSON.stringify(errorInfo),
    });

    // Rethrowing the error to be handled by the caller
    throw new Error(`Failed to smart scrape URL: ${url}`, { cause: error });
  }
}