import os
import requests
from smolagents import tool

DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
DOWNLOAD_DIR = "/tmp/gaia_files"
os.makedirs(DOWNLOAD_DIR, exist_ok=True)


@tool
def download_gaia_file(task_id: str) -> str:
    """
    Downloads the file attached to a GAIA benchmark question, if any, and
    saves it to local disk so it can be inspected with read_file_content.

    Args:
        task_id: The task_id of the current question, used to fetch the
            file associated with it from the scoring server.

    Returns:
        The local file path of the downloaded file, or a short message
        saying that no file is attached to this task.
    """
    url = f"{DEFAULT_API_URL}/files/{task_id}"
    try:
        response = requests.get(url, timeout=30)
        if response.status_code == 404:
            return "No file is attached to this task."
        response.raise_for_status()
    except requests.exceptions.RequestException as e:
        return f"Error downloading file: {e}"

    filename = task_id
    content_disposition = response.headers.get("content-disposition", "")
    if "filename=" in content_disposition:
        filename = content_disposition.split("filename=")[-1].strip('"; ')
    else:
        content_type = response.headers.get("content-type", "")
        if "spreadsheet" in content_type or "excel" in content_type:
            filename = f"{task_id}.xlsx"
        elif "csv" in content_type:
            filename = f"{task_id}.csv"
        elif "audio" in content_type:
            filename = f"{task_id}.mp3"
        elif "image" in content_type:
            filename = f"{task_id}.png"

    file_path = os.path.join(DOWNLOAD_DIR, filename)
    with open(file_path, "wb") as f:
        f.write(response.content)
    return file_path


@tool
def read_file_content(file_path: str) -> str:
    """
    Reads a local file and returns its content as text. Handles plain text,
    code, JSON, CSV, and Excel files. For file types it cannot parse it
    returns a short message instead of raising an error.

    Args:
        file_path: The local path of the file to read, typically the path
            returned by download_gaia_file.

    Returns:
        A text representation of the file's content, or an explanatory
        message if the file cannot be read.
    """
    if not os.path.exists(file_path):
        return f"File not found: {file_path}"

    ext = os.path.splitext(file_path)[1].lower()
    try:
        if ext in (".xlsx", ".xls"):
            import pandas as pd

            sheets = pd.read_excel(file_path, sheet_name=None)
            chunks = [f"Sheet: {name}\n{df.to_string()}" for name, df in sheets.items()]
            return "\n\n".join(chunks)

        if ext == ".csv":
            import pandas as pd

            df = pd.read_csv(file_path)
            return df.to_string()

        if ext in (".txt", ".py", ".json", ".md", ".xml", ".html", ".csv"):
            with open(file_path, "r", encoding="utf-8", errors="replace") as f:
                return f.read()

        if ext in (".png", ".jpg", ".jpeg", ".gif"):
            return (
                f"This is an image file at {file_path}. Use the Python "
                "interpreter with PIL to inspect pixel data if needed, or "
                "describe what analysis is required."
            )

        if ext in (".mp3", ".wav"):
            return (
                f"This is an audio file at {file_path}. Transcription tools "
                "are not available; note this limitation if the question "
                "cannot be answered without listening to it."
            )

        # Fall back to a best-effort text read for unknown extensions.
        with open(file_path, "r", encoding="utf-8", errors="replace") as f:
            return f.read()
    except Exception as e:
        return f"Error reading file: {e}"