import json
import os

# Load the input JSON file
with open("train.json", "r") as f:
    data = json.load(f)

jsonl_data = []
print("Before processing:", len(data))
# Convert the input JSON to JSONL format
for key, value in enumerate(data):

    input_path = '/'.join(value["input"].split('/')[2:])
    output_path = '/'.join(value["output"].split('/')[2:])
    if os.path.exists(input_path) and os.path.exists(output_path):
        entry = {
            "id": f"{int(key):012d}",
            "images": ["AURORA/"+value["input"], "AURORA/"+value["output"]],
            "conversations": [
                {
                    "from": "human",
                    "value": f"<image>\nEditing the given image according to the following prompt: {value['instruction']}"
                },
                {
                    "from": "gpt",
                    "value": "<image>"
                }
            ]
        }
        jsonl_data.append(entry)
    else:
        continue

# Save to a JSONL file
with open("train.jsonl", "w") as f:
    for line in jsonl_data:
        f.write(json.dumps(line) + "\n")

print("Final data size:", len(jsonl_data))