Démarrage rapide Python

Effectuez votre premier appel API Annie Insights à l'aide de Python en moins de 3 minutes.

Conditions préalables

• Python3.8+
• bibliothèque requests (pip install request)

Exemple complet

import requests
import os
import json

# Configuration
API_KEY = os.environ.get("ANNIE_API_KEY", "YOUR_API_KEY")
BASE_URL = "https://api.annie-insights.com/api/v2"

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


def analyze_clinical_image(patient_id: str, image_url: str) -> dict:
    """Analyze a dental image for clinical findings."""
    payload = {
        "PatientID": patient_id,
        "TimeStamp": "2026-05-24",
        "ImageName": image_url,
    }

    response = requests.post(
        f"{BASE_URL}/clinical-images",
        headers=headers,
        json=payload,
    )
    response.raise_for_status()
    return response.json()


def detect_ceph_landmarks(patient_id: str, image_url: str) -> dict:
    """Detect 169 lateral cephalometric landmarks."""
    payload = {
        "PatientID": patient_id,
        "TimeStamp": "2026-05-24",
        "ImageName": image_url,
    }

    response = requests.post(
        f"{BASE_URL}/ceph-lateral-points",
        headers=headers,
        json=payload,
    )
    response.raise_for_status()
    return response.json()


def estimate_treatment_length(**params) -> dict:
    """Predict orthodontic treatment duration."""
    response = requests.get(
        f"{BASE_URL}/tle",
        headers={"x-api-key": API_KEY},
        params=params,
    )
    response.raise_for_status()
    return response.json()


def download_output_image(url: str, filename: str) -> None:
    """Download the annotated output image before SAS URL expires."""
    response = requests.get(url, stream=True)
    with open(filename, "wb") as f:
        for chunk in response.iter_content(chunk_size=8192):
            f.write(chunk)
    print(f"Saved: {filename}")


# --- Usage ---
if __name__ == "__main__":
    # 1. Clinical findings
    result = analyze_clinical_image("P-001", "https://example.com/dental-photo.jpg")
    print(json.dumps(result, indent=2))

    # 2. Download the annotated output image
    if "OutputImageUrl" in result:
        download_output_image(result["OutputImageUrl"], "clinical_result.jpg")

    # 3. Treatment length estimation
    tle = estimate_treatment_length(
        p01="14", p02="M", p03="ClassII", p04="Moderate",
        p05="None", p06="5.2", p07="Deep", p08="None",
        p09="None", p10="No", p11="3"
    )
    print(f"Estimated treatment: {tle['estimate_length']} months")

Gestion des erreurs avec nouvelle tentative

import time

def call_with_retry(func, *args, max_retries=3, **kwargs):
    for attempt in range(max_retries):
        try:
            return func(*args, **kwargs)
        except requests.exceptions.HTTPError as e:
            if e.response.status_code == 429:
                wait = 2 ** attempt
                print(f"Rate limited. Retrying in {wait}s...")
                time.sleep(wait)
            else:
                raise
    raise Exception("Max retries exceeded")

Prochaines étapes

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