# import base64
# import requests
# import os

# # Configuration
# API_URL = "http://localhost:5002/v1/api/ai/suya_ocr"

# # Helper to encode image
# def encode_image_to_base64(path):
#     with open(path, "rb") as image_file:
#         return base64.b64encode(image_file.read()).decode("utf-8")

# def test_ocr_endpoint_requests():
#     image_path = "/path/to/surya/ttt.png"
#     assert os.path.exists(image_path), f"Image file not found: {image_path}"

#     encoded_image = encode_image_to_base64(image_path)

#     payload = {
#         "file": encoded_image,
#         "type": "jpg",
#         "skip_text_detection": False,
#         "skip_table_detection": False,
#         "recognize_math": False,
#         "ocr_with_boxes": True
#     }

#     # Send request using requests
#     response = requests.post(API_URL, json=payload)

#     assert response.status_code == 200
#     response_json = response.json()
#     assert response_json["code"] == 200
#     assert "ocr_text_json" in response_json["data"]
#     assert "text_lines" in response_json["data"]

#     print("OCR Response Text:")
#     print(response_json["data"]["text_lines"])


# import time
# tik = time.time()
# test_ocr_endpoint_requests()
# tok = time.time()
# print("time consumption: ", tok - tik)



import requests

# API 地址
url = "http://127.0.0.1:5002/image2text"

# 测试用图像路径
image_path = "/path/to/surya/ttt.png"  # 替换为你自己的图像路径

# 发起 POST 请求
with open(image_path, "rb") as image_file:
    files = {"file": ("ttt.png", image_file, "image/png")}
    response = requests.post(url, files=files)

# 打印响应
print("Status Code:", response.status_code)
print("Response JSON:", response.json())