import { randomUUID } from "node:crypto";
import { basename } from "node:path";
import { extractText } from "@stirling-image/ai";
import type { FastifyInstance, FastifyReply, FastifyRequest } from "fastify";
import { z } from "zod";
import { validateImageBuffer } from "../../lib/file-validation.js";
import { createWorkspace } from "../../lib/workspace.js";
import { updateSingleFileProgress } from "../progress.js";

const settingsSchema = z.object({
  engine: z.enum(["tesseract", "paddleocr"]).default("tesseract"),
  language: z.enum(["en", "de", "fr", "es", "zh", "ja", "ko"]).default("en"),
});

/**
 * OCR / text extraction route.
 * Returns JSON with extracted text rather than an image.
 */
export function registerOcr(app: FastifyInstance) {
  app.post("/api/v1/tools/ocr", async (request: FastifyRequest, reply: FastifyReply) => {
    let fileBuffer: Buffer | null = null;
    let filename = "image";
    let settingsRaw: string | null = null;
    let clientJobId: string | null = null;

    try {
      const parts = request.parts();
      for await (const part of parts) {
        if (part.type === "file") {
          const chunks: Buffer[] = [];
          for await (const chunk of part.file) {
            chunks.push(chunk);
          }
          fileBuffer = Buffer.concat(chunks);
          filename = basename(part.filename ?? "image");
        } else if (part.fieldname === "settings") {
          settingsRaw = part.value as string;
        } else if (part.fieldname === "clientJobId") {
          clientJobId = part.value as string;
        }
      }
    } catch (err) {
      return reply.status(400).send({
        error: "Failed to parse multipart request",
        details: err instanceof Error ? err.message : String(err),
      });
    }

    if (!fileBuffer || fileBuffer.length === 0) {
      return reply.status(400).send({ error: "No image file provided" });
    }

    const validation = await validateImageBuffer(fileBuffer);
    if (!validation.valid) {
      return reply.status(400).send({ error: `Invalid image: ${validation.reason}` });
    }

    try {
      let settings: z.infer<typeof settingsSchema>;
      try {
        const parsed = settingsRaw ? JSON.parse(settingsRaw) : {};
        const result = settingsSchema.safeParse(parsed);
        if (!result.success) {
          return reply
            .status(400)
            .send({ error: "Invalid settings", details: result.error.issues });
        }
        settings = result.data;
      } catch {
        return reply.status(400).send({ error: "Settings must be valid JSON" });
      }

      const jobId = randomUUID();
      const workspacePath = await createWorkspace(jobId);

      const jobIdForProgress = clientJobId;
      const onProgress = jobIdForProgress
        ? (percent: number, stage: string) => {
            updateSingleFileProgress({
              jobId: jobIdForProgress,
              phase: "processing",
              stage,
              percent,
            });
          }
        : undefined;

      const result = await extractText(
        fileBuffer,
        workspacePath,
        {
          engine: settings.engine,
          language: settings.language,
        },
        onProgress,
      );

      if (clientJobId) {
        updateSingleFileProgress({
          jobId: clientJobId,
          phase: "complete",
          percent: 100,
        });
      }

      return reply.send({
        jobId,
        filename,
        text: result.text,
        engine: result.engine,
      });
    } catch (err) {
      return reply.status(422).send({
        error: "OCR failed",
        details: err instanceof Error ? err.message : "Unknown error",
      });
    }
  });
}
