# t.py
import requests
import openai
import json
import ai_json


def ocr_request(file_path):
    url = 'https://app.nanonets.com/api/v2/OCR/Model/99a96f48-fa67-461d-a17d-8475af701b17/LabelFile/?async=false'
    data = {'file': open(file_path, 'rb')}
    response = requests.post(url, auth=requests.auth.HTTPBasicAuth('12ac2745-5e44-11ee-bb98-ea6b2bf28c31', ''), files=data)
    response = response.json()    
    response_data = response["result"][0]["prediction"]
    
    for element in response_data:
        if element['label'] == 'table':
            table_data = element['cells']
        elif element['label'] == 'invoice_number':
            invoice_number = element['ocr_text']

    output_1 = {
        'invoice_number': invoice_number,
        'table_data':table_data
    }
    
    keys_to_remove = [
    'xmin', 'ymin', 'xmax', 'ymax', 'id', 'label_id', 'verification_status', 
    'failed_validation', 'status', 'score', 'row_label', 'col_span', 
    'row_span', 'row', 'col']

    for item in output_1["table_data"]:
        for key in keys_to_remove:
            item.pop(key, None)
    
    print("Before sending to gpt", output_1)
    gpt_response = ai_json.handle_creating_json(output_1)

    return gpt_response