API Documentation

https://api.gene2.ai

import hashlib, time, requests
from datetime import datetime, timezone

BASE_URL = "https://api.gene2.ai"

def make_token(verify_id, secret):
    t = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M")
    raw = f"{verify_id}{secret}{t}"
    h = hashlib.md5(raw.encode()).hexdigest()
    return h[4:20], t

# Step 1: Request upload URL
token, time_str = make_token("UP02", "your_upload_secret")
resp = requests.post(f"{BASE_URL}/api/upload-url",
    headers={
        "Content-Type": "application/json",
        "id": "UP02",
        "token": token,
        "time": time_str
    },
    json={
        "key": "gene2ai_user001_" + str(int(time.time())),
        "type": "txt",
        "format": "23andme"
    }
)
data = resp.json()
assert data["code"] == 0
job_key = data["data"]["key"]
upload_url = data["data"]["url"]

# Step 2: Upload the file
with open("genome_data.txt", "rb") as f:
    requests.put(upload_url, data=f.read(),
                 headers={"Content-Type": "text/plain"})

# Step 3: Poll for results
while True:
    token, time_str = make_token("GE01", "your_query_secret")
    resp = requests.post(f"{BASE_URL}/api/query-result",
        headers={
            "Content-Type": "application/json",
            "id": "GE01",
            "token": token,
            "time": time_str
        },
        json={"key": job_key}
    )
    result = resp.json()
    status = result["data"]["status"]
    if status in ("succeeded", "failed"):
        if status == "succeeded":
            r = result["data"]["result"]
            # v5.1: Access new nutrition fields
            for n in r["nutrition"]:
                if n.get("ingredientGuidance"):
                    print(f"{n['nutrient']}: {n['ingredientGuidance']['doseModifier']}")
                    print(f"  Primary: {n['ingredientGuidance']['primaryIngredients']}")
                    print(f"  Lab: {n.get('relatedLabIndicators', [])}")
            # v5.1: Access CYP1A2 supplement relevance
            for g in r["cyp450"]["genes"]:
                if g.get("supplementRelevance"):
                    print(f"{g['gene']} ({g['phenotype']}): {g['supplementRelevance']['guidanceNotes']}")
        break
    time.sleep(5)

import crypto from 'crypto';
import fs from 'fs';

const BASE_URL = 'https://api.gene2.ai';

function makeToken(verifyId, secret) {
  const now = new Date();
  const time = now.toISOString().slice(0, 16).replace('T', ' ');
  const raw = verifyId + secret + time;
  const hash = crypto.createHash('md5').update(raw).digest('hex');
  return { token: hash.slice(4, 20), time };
}

async function analyzeGenome(filePath, format = '23andme') {
  // Step 1: Request upload URL
  const { token: upToken, time: upTime } = makeToken('UP02', 'your_upload_secret');
  const key = 'gene2ai_' + Date.now();
  
  const uploadResp = await fetch(BASE_URL + '/api/upload-url', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json', id: 'UP02', token: upToken, time: upTime },
    body: JSON.stringify({ key, type: 'txt', format })
  });
  const { data } = await uploadResp.json();

  // Step 2: Upload file
  const fileData = fs.readFileSync(filePath);
  await fetch(data.url, {
    method: 'PUT',
    headers: { 'Content-Type': 'text/plain' },
    body: fileData
  });

  // Step 3: Poll for results
  while (true) {
    const { token: qToken, time: qTime } = makeToken('GE01', 'your_query_secret');
    const resp = await fetch(BASE_URL + '/api/query-result', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json', id: 'GE01', token: qToken, time: qTime },
      body: JSON.stringify({ key })
    });
    const result = await resp.json();
    if (['succeeded', 'failed'].includes(result.data.status)) {
      return result.data;
    }
    await new Promise(r => setTimeout(r, 5000));
  }
}

// Usage
analyzeGenome('./genome_data.txt', '23andme').then(console.log);