# Please make sure the requests library is installed
# pip install requests
import json
import os
import requests
import sys
import time

JOB_URL = "https://paddleocr.aistudio-app.com/api/v2/ocr/jobs"
TOKEN = ""
# Optional models: "PaddleOCR-VL-1.5", "PaddleOCR-VL", "PP-StructureV3"
MODEL = "PaddleOCR-VL-1.5"

file_path = "<local file path or file url>"

headers = {
    "Authorization": f"bearer {TOKEN}",
}

optional_payload = {
    "useDocOrientationClassify": False,
    "useDocUnwarping": False,
    "useChartRecognition": False,
}

print(f"Processing file: {file_path}")

if file_path.startswith("http"):
    # URL Mode
    headers["Content-Type"] = "application/json"
    payload = {
        "fileUrl": file_path,
        "model": MODEL,
        "optionalPayload": optional_payload
    }
    job_response = requests.post(JOB_URL, json=payload, headers=headers)
else:
    # Local File Mode
    if not os.path.exists(file_path):
        print(f"Error: File not found at {file_path}")
        sys.exit(1)
        
    data = {
        "model": MODEL,
        "optionalPayload": json.dumps(optional_payload)
    }
    
    with open(file_path, "rb") as f:
        files = {"file": f}
        job_response = requests.post(JOB_URL, headers=headers, data=data, files=files)

print(f"Response status: {job_response.status_code}")
if job_response.status_code != 200:
    print(f"Response content: {job_response.text}")

assert job_response.status_code == 200
jobId = job_response.json()["data"]["jobId"]
print(f"Job submitted successfully. job id: {jobId}")
print("Start polling for results")

jsonl_url = ""
while True:
    job_result_response = requests.get(f"{JOB_URL}/{jobId}", headers=headers)
    assert job_result_response.status_code == 200
    state = job_result_response.json()["data"]["state"]
    if state == 'pending':
        print("The current status of the job is pending")
    elif state == 'running':
        try:
            total_pages = job_result_response.json()['data']['extractProgress']['totalPages']
            extracted_pages = job_result_response.json()['data']['extractProgress']['extractedPages']
            print(f"The current status of the job is running, total pages: {total_pages}, extracted pages: {extracted_pages}")
        except KeyError:
             print("The current status of the job is running...")
    elif state == 'done':
        extracted_pages = job_result_response.json()['data']['extractProgress']['extractedPages']
        start_time = job_result_response.json()['data']['extractProgress']['startTime']
        end_time = job_result_response.json()['data']['extractProgress']['endTime']
        print(f"Job completed, successfully extracted pages: {extracted_pages}, start time: {start_time}, end time: {end_time}")
        jsonl_url = job_result_response.json()['data']['resultUrl']['jsonUrl']
        break
    elif state == "failed":
        error_msg = job_result_response.json()['data']['errorMsg']
        print(f"Job failed, failure reason：{error_msg}")
        sys.exit()

    time.sleep(5)

if jsonl_url:
    jsonl_response = requests.get(jsonl_url)
    jsonl_response.raise_for_status()
    lines = jsonl_response.text.strip().split('\n')
    output_dir = "output"
    os.makedirs(output_dir, exist_ok=True)
    page_num = 0
    for line_num, line in enumerate(lines, start=1):
        line = line.strip()
        if not line:
            continue
        result = json.loads(line)["result"]
        # Note: layoutParsingResults field is used here
        for i, res in enumerate(result["layoutParsingResults"]):
            md_filename = os.path.join(output_dir, f"doc_{page_num}.md")
            with open(md_filename, "w", encoding="utf-8") as md_file:
                md_file.write(res["markdown"]["text"])
            print(f"Markdown document saved at {md_filename}")
            for img_path, img in res["markdown"]["images"].items():
                full_img_path = os.path.join(output_dir, img_path)
                os.makedirs(os.path.dirname(full_img_path), exist_ok=True)
                img_bytes = requests.get(img).content
                with open(full_img_path, "wb") as img_file:
                    img_file.write(img_bytes)
                print(f"Image saved to: {full_img_path}")
            for img_name, img in res["outputImages"].items():
                img_response = requests.get(img)
                if img_response.status_code == 200:
                    # Save image to local
                    filename = os.path.join(output_dir, f"{img_name}_{page_num}.jpg")
                    with open(filename, "wb") as f:
                        f.write(img_response.content)
                    print(f"Image saved to: {filename}")
                else:
                    print(f"Failed to download image, status code: {img_response.status_code}")
            page_num += 1

# Please make sure the requests library is installed
# pip install requests
import json
import os
import requests
import sys
import time

JOB_URL = "https://paddleocr.aistudio-app.com/api/v2/ocr/jobs"
TOKEN = ""
MODEL = "PP-OCRv5"

file_path = "<local file path or file url>"

headers = {
    "Authorization": f"bearer {TOKEN}",
}

optional_payload = {
    "useDocOrientationClassify": False,
    "useDocUnwarping": False,
    "useTextlineOrientation": False,
}

print(f"Processing file: {file_path}")

if file_path.startswith("http"):
    # URL Mode
    headers["Content-Type"] = "application/json"
    payload = {
        "fileUrl": file_path,
        "model": MODEL,
        "optionalPayload": optional_payload
    }
    job_response = requests.post(JOB_URL, json=payload, headers=headers)
else:
    # Local File Mode
    if not os.path.exists(file_path):
        print(f"Error: File not found at {file_path}")
        sys.exit(1)
        
    data = {
        "model": MODEL,
        "optionalPayload": json.dumps(optional_payload)
    }
    
    with open(file_path, "rb") as f:
        files = {"file": f}
        job_response = requests.post(JOB_URL, headers=headers, data=data, files=files)

print(f"Response status: {job_response.status_code}")

if job_response.status_code != 200:
    print(f"Response content: {job_response.text}")

assert job_response.status_code == 200
jobId = job_response.json()["data"]["jobId"]
print(f"Job submitted successfully. job id: {jobId}")
print("Start polling for results")

jsonl_url = ""
while True:
    job_result_response = requests.get(f"{JOB_URL}/{jobId}", headers=headers)
    assert job_result_response.status_code == 200
    state = job_result_response.json()["data"]["state"]
    if state == 'pending':
        print("The current status of the job is pending")
    elif state == 'running':
        try:
            total_pages = job_result_response.json()['data']['extractProgress']['totalPages']
            extracted_pages = job_result_response.json()['data']['extractProgress']['extractedPages']
            print(f"The current status of the job is running, total pages: {total_pages}, extracted pages: {extracted_pages}")
        except KeyError:
             print("The current status of the job is running...")
    elif state == 'done':
        extracted_pages = job_result_response.json()['data']['extractProgress']['extractedPages']
        start_time = job_result_response.json()['data']['extractProgress']['startTime']
        end_time = job_result_response.json()['data']['extractProgress']['endTime']
        print(f"Job completed, successfully extracted pages: {extracted_pages}, start time: {start_time}, end time: {end_time}")
        jsonl_url = job_result_response.json()['data']['resultUrl']['jsonUrl']
        break
    elif state == "failed":
        error_msg = job_result_response.json()['data']['errorMsg']
        print(f"Job failed, failure reason：{error_msg}")
        sys.exit()

    time.sleep(5)

if jsonl_url:
    jsonl_response = requests.get(jsonl_url)
    jsonl_response.raise_for_status()
    lines = jsonl_response.text.strip().split('\n')
    output_dir = "output"
    os.makedirs(output_dir, exist_ok=True)
    page_num = 0
    for line_num, line in enumerate(lines, start=1):
        line = line.strip()
        if not line:
            continue
        result = json.loads(line)["result"]
        # Note: PP-OCRv5 uses ocrResults field
        for i, res in enumerate(result["ocrResults"]):
            image_url = res["ocrImage"]
            img_response = requests.get(image_url)
            if img_response.status_code == 200:
                # Save image to local
                filename = f"output/img_output_{page_num}.jpg"
                with open(filename, "wb") as f:
                    f.write(img_response.content)
                print(f"Image saved to: {filename}")
            else:
                print(f"Failed to download image, status code: {img_response.status_code}")
            page_num += 1