Mulai Cepat JavaScript / Node.js

Integrasikan API Annie Insights ke dalam fungsi backend atau tanpa server Node.js Anda.

Prasyarat

• Node.js 18+ (menggunakan fetch bawaan)

Contoh Lengkap

const BASE_URL = "https://api.annie-insights.com/api/v2";
const API_KEY = process.env.ANNIE_API_KEY || "YOUR_API_KEY";

const headers = {
  "Content-Type": "application/json",
  "x-api-key": API_KEY,
};

/**
 * Analyze a dental image for clinical findings.
 */
async function analyzeClinicalImage(patientId, imageUrl) {
  const response = await fetch(`${BASE_URL}/clinical-images`, {
    method: "POST",
    headers,
    body: JSON.stringify({
      PatientID: patientId,
      TimeStamp: new Date().toISOString().split("T")[0],
      ImageName: imageUrl,
    }),
  });

  if (!response.ok) {
    throw new Error(`API error: ${response.status} ${response.statusText}`);
  }

  return response.json();
}

/**
 * Detect cephalometric landmarks on a lateral X-ray.
 */
async function detectLandmarks(patientId, imageUrl) {
  const response = await fetch(`${BASE_URL}/ceph-lateral-points`, {
    method: "POST",
    headers,
    body: JSON.stringify({
      PatientID: patientId,
      TimeStamp: new Date().toISOString().split("T")[0],
      ImageName: imageUrl,
    }),
  });

  if (!response.ok) {
    throw new Error(`API error: ${response.status}`);
  }

  return response.json();
}

/**
 * Estimate treatment length using clinical parameters.
 */
async function estimateTreatmentLength(params) {
  const queryString = new URLSearchParams(params).toString();
  const response = await fetch(`${BASE_URL}/tle?${queryString}`, {
    headers: { "x-api-key": API_KEY },
  });

  if (!response.ok) {
    throw new Error(`API error: ${response.status}`);
  }

  return response.json();
}

/**
 * Download output image before SAS URL expires.
 */
async function downloadOutputImage(sasUrl, outputPath) {
  const fs = await import("fs");
  const response = await fetch(sasUrl);
  const buffer = Buffer.from(await response.arrayBuffer());
  fs.writeFileSync(outputPath, buffer);
  console.log(`Saved: ${outputPath}`);
}

// --- Usage ---
async function main() {
  // 1. Clinical findings
  const result = await analyzeClinicalImage(
    "P-001",
    "https://example.com/dental-photo.jpg"
  );
  console.log(JSON.stringify(result, null, 2));

  // 2. Download annotated image
  if (result.OutputImageUrl) {
    await downloadOutputImage(result.OutputImageUrl, "clinical_result.jpg");
  }

  // 3. Treatment estimation
  const tle = await estimateTreatmentLength({
    p01: "14", p02: "M", p03: "ClassII", p04: "Moderate",
    p05: "None", p06: "5.2", p07: "Deep", p08: "None",
    p09: "None", p10: "No", p11: "3",
  });
  console.log(`Estimated treatment: ${tle.estimate_length} months`);
}

main().catch(console.error);

Middleware Express.js

import express from "express";

const app = express();
app.use(express.json());

app.post("/api/analyze", async (req, res) => {
  try {
    const { patientId, imageUrl, endpoint } = req.body;
    const result = await fetch(
      `https://api.annie-insights.com/api/v2/${endpoint}`,
      {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          "x-api-key": process.env.ANNIE_API_KEY,
        },
        body: JSON.stringify({
          PatientID: patientId,
          TimeStamp: new Date().toISOString().split("T")[0],
          ImageName: imageUrl,
        }),
      }
    );
    const data = await result.json();
    res.json(data);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});