ap-canvas-creation-module-old/04_stable_diffusion/zs_ai_post_ai_render_script.py

from __future__ import (
    print_function,
)  # Ensure print() function is available in Python 2
import sys
import json
import requests
import base64

from Deadline.Scripting import *  # Import Deadline script utilities

api_path = "https://canvas-api-test.anvil.app/_/api"
image_path = (
    "D:/Git/ap-canvas-creation-module/03_blender/sd_blender/sample_scene/Renders/"
)


# def update_3d_image_task_status(row_id, new_status):
#     # Define the URL for the API endpoint
#     url = "{}/tasks/3d-image/update-status".format(api_path)

#     # Create a JSON payload
#     payload = {"row_id": row_id, "new_status": new_status}

#     # Make a POST request to the API endpoint with the JSON payload
#     response = requests.post(url, json=payload)

#     # Handle the response
#     if response.status_code == 200:
#         print("Status update was successful")
#         return response.json()
#     else:
#         print("Status update failed")
#         print("Status code:", response.status_code)
#         print("Response:", response.text)
#         return None


# def get_3d_image_task(row_id):
#     # Define the URL for the API endpoint
#     url = "{}/tasks/3d-image/{}".format(api_path, row_id)
#     print("Constructed URL:", url)  # Print the URL for debugging

#     # Make a GET request to the API endpoint
#     response = requests.get(url)

#     # Handle the response
#     if response.status_code == 200:
#         print("Request was successful")
#         return response.json()
#     else:
#         print("Request failed")
#         print("Status code:", response.status_code)
#         print("Response:", response.text)
#         return None


# def find_image_and_convert_to_base64(image_path):
#     with open(image_path, "rb") as image_file:
#         image_data = image_file.read()
#         image_base64 = base64.b64encode(image_data).decode("utf-8")
#         return image_base64


# def upload_image_to_anvil(row_id, image_base64):
#     url = "{}/test-2".format(api_path)
#     payload = {"row_id": row_id, "image_base64": image_base64}
#     response = requests.post(url, json=payload)
#     if response.status_code == 200:
#         print("Image uploaded successfully")
#         update_3d_image_task_status(row_id=row_id, new_status=3)
#         return response.json()

#     else:
#         print("Image upload failed")
#         print("Status code:", response.status_code)
#         print("Response:", response.text)
#         return None


def __main__(*args):
    deadlinePlugin = args[0]
    job = deadlinePlugin.GetJob()
    print("AI image completed")
    # row_id = job.JobExtraInfo0

    # response = get_3d_image_task(row_id)
    # data = json.loads(response["data"])

    # project_id = data["project_id"]

    # image_base64 = find_image_and_convert_to_base64(
    #     image_path + "{}/base0001.jpg".format(project_id)
    # )

    # upload_image_to_anvil(row_id, image_base64)


if __name__ == "__main__":
    __main__(sys.argv)