from models.brains import Brain
from models.files import File
from models.settings import CommonsDep
from parsers.audio import process_audio
from parsers.csv import process_csv
from parsers.docx import process_docx
from parsers.epub import process_epub
from parsers.html import process_html
from parsers.markdown import process_markdown
from parsers.notebook import process_ipnyb
from parsers.odt import process_odt
from parsers.pdf import process_pdf
from parsers.powerpoint import process_powerpoint
from parsers.txt import process_txt

file_processors = {
    ".txt": process_txt,
    ".csv": process_csv,
    ".md": process_markdown,
    ".markdown": process_markdown,
    ".m4a": process_audio,
    ".mp3": process_audio,
    ".webm": process_audio,
    ".mp4": process_audio,
    ".mpga": process_audio,
    ".wav": process_audio,
    ".mpeg": process_audio,
    ".pdf": process_pdf,
    ".html": process_html,
    ".pptx": process_powerpoint,
    ".docx": process_docx,
    ".odt": process_odt,
    ".epub": process_epub,
    ".ipynb": process_ipnyb,
}


def create_response(message, type):
    return {"message": message, "type": type}


async def filter_file(
    commons: CommonsDep,
    file: File,
    enable_summarization: bool,
    brain_id,
    openai_api_key,
):
    await file.compute_file_sha1()

    print("file sha1", file.file_sha1)
    file_exists = file.file_already_exists()
    file_exists_in_brain = file.file_already_exists_in_brain(brain_id)

    if file_exists_in_brain:
        return create_response(
            f"🤔 {file.file.filename} already exists in brain {brain_id}.",  # pyright: ignore reportPrivateUsage=none
            "warning",
        )
    elif file.file_is_empty():
        return create_response(
            f"❌ {file.file.filename} is empty.",  # pyright: ignore reportPrivateUsage=none
            "error",  # pyright: ignore reportPrivateUsage=none
        )
    elif file_exists:
        file.link_file_to_brain(brain=Brain(id=brain_id))
        return create_response(
            f"✅ {file.file.filename} has been uploaded to brain {brain_id}.",  # pyright: ignore reportPrivateUsage=none
            "success",
        )

    if file.file_extension in file_processors:
        try:
            await file_processors[file.file_extension](
                commons, file, enable_summarization, brain_id, openai_api_key
            )
            return create_response(
                f"✅ {file.file.filename} has been uploaded to brain {brain_id}.",  # pyright: ignore reportPrivateUsage=none
                "success",
            )
        except Exception as e:
            # Add more specific exceptions as needed.
            print(f"Error processing file: {e}")
            return create_response(
                f"⚠️ An error occurred while processing {file.file.filename}.",  # pyright: ignore reportPrivateUsage=none
                "error",
            )

    return create_response(
        f"❌ {file.file.filename} is not supported.",  # pyright: ignore reportPrivateUsage=none
        "error",
    )