import gradio as gr
from database import save_to_db
from preprocessing import read_file

def process_file(file, topics):
    """
    Processes an uploaded file, extracts its text content, and saves it to the database.

    This function performs the following steps:
    1. Reads the content of the uploaded file using the `read_file` function.
       - Supports `.docx`, `.txt`, and `.pdf` file formats.
    2. Splits the extracted text into chunks (if applicable).
    3. Saves the processed text and associated topics to the database using the `save_to_db` function.
    4. Returns a success message if the file is processed and saved successfully.

    If any error occurs during processing, the function catches the exception and returns an error message.

    Parameters:
    ----------
    file : object
        The uploaded file object. The file's name (`file.name`) is used to determine the file path.
    topics : list or str
        A list of topics or a single topic string associated with the file. These are saved to the database along with the file content.

    Returns:
    -------
    str
        - A success message indicating that the file was processed and saved successfully.
        - An error message if an exception occurs during processing.

    Example:
    --------
    >>> process_file(uploaded_file, ["Persian Literature", "History"])
    'File processed successfully! File saved to the database.'

    >>> process_file(unsupported_file, ["Science"])
    'Error processing file: Unsupported file format. Only .docx, .txt, and .pdf are allowed.'
    """
    try:
        # Read the file content
        file_path = file.name
        text = read_file(file_path)

        # Spl
        # Save chunks to database
        save_to_db(text, topics)

        return f"File processed successfully! file saved to the database."
    except Exception as e:
        return f"Error processing file: {str(e)}"

# Define Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Dataset Upload Interface")
    with gr.Row():
        file_input = gr.File(label="Upload File (.docx or .txt or .pdf)")
        topics_input = gr.Textbox(label="Topics (comma-separated)", placeholder="e.g., science, technology, law, medicin")
    submit_button = gr.Button("Upload and Process")
    output_text = gr.Textbox(label="Status")

    submit_button.click(process_file, inputs=[file_input, topics_input], outputs=output_text)

# Launch the app
demo.launch()