import os
import uuid
import requests
import tempfile
from PIL import Image
import pytesseract
import pandas as pd
from urllib.parse import urlparse
from langchain_core.tools import tool
from typing import Optional
import logging
import pandasql as psql

# ------------------- 🔧 Logger Setup -------------------
def setup_logger():
    logger = logging.getLogger("FileToolLogger")
    logger.setLevel(logging.INFO)
    if not logger.handlers:
        handler = logging.StreamHandler()
        formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
        handler.setFormatter(formatter)
        logger.addHandler(handler)
    return logger

logger = setup_logger()

# ------------------- 📄 Save Content to File -------------------
@tool
def save_and_read_file(content: str, filename: Optional[str] = None) -> str:
    """
    Save content to a file and return the path.
    Args:
        content (str): the content to save to the file
        filename (str, optional): the name of the file. If not provided, a random name file will be created.
    """
    temp_dir = tempfile.gettempdir()
    if filename is None:
        temp_file = tempfile.NamedTemporaryFile(delete=False, dir=temp_dir)
        filepath = temp_file.name
    else:
        filepath = os.path.join(temp_dir, filename)

    with open(filepath, "w") as f:
        f.write(content)

    return f"File saved to {filepath}. You can read this file to process its contents."

# ------------------- 📄 Save Content to File -------------------

@tool
def download_file_from_url(url: str, filename: Optional[str] = None) -> str:
    """
    Download a file from a URL and save it to a temporary location.
    Args:
        url (str): the URL of the file to download.
        filename (str, optional): the name of the file. If not provided, a random name file will be created.
    """
    try:
        # Parse URL to get filename if not provided
        if not filename:
            path = urlparse(url).path
            filename = os.path.basename(path)
            if not filename:
                filename = f"downloaded_{uuid.uuid4().hex[:8]}"

        # Create temporary file
        temp_dir = tempfile.gettempdir()
        filepath = os.path.join(temp_dir, filename)

        # Download the file
        response = requests.get(url, stream=True)
        response.raise_for_status()

        # Save the file
        with open(filepath, "wb") as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)

        return f"File downloaded to {filepath}. You can read this file to process its contents."
    except Exception as e:
        return f"Error downloading file: {str(e)}"

@tool
def extract_text_from_image(image_path: str) -> str:
    """
    Extract text from an image using OCR library pytesseract (if available).
    Args:
        image_path (str): the path to the image file.
    """
    try:
        
        # Open the image
        image = Image.open(image_path)
        
        # Extract text from the image
        text = pytesseract.image_to_string(image)
        return f"Extracted text from image:\n\n{text}"
        
    except Exception as e:
        return f"Error extracting text from image: {str(e)}"

@tool
def analyze_csv_file(file_path: str, query: Optional[str] = None) -> str:

    """
    Analyze a CSV file using pandas and answer a question about it.
    Args:
        file_path (str): the path to the CSV file.
        query (str): Question about the data
    """
    if not os.path.isfile(file_path) or not file_path.endswith((".csv")):
            return "Invalid or missing csv file."
    try :
        
        df = pd.read_csv(file_path)
        columns = df.columns
        result = [f"CSV loaded with shape: {df.shape}", f" Columns: {', '.join(columns)}"]

        if query:
            result.append(f"\n Query: {query}")
            result_df = psql.sqldf(query, {"df": df})
            result.append("Query Result:\n" + result_df.to_string(index=False))
        else:
            result.append("\nSummary:\n" + str(df.describe(include='all')))

        return "\n".join(result)

    except Exception as e:
        return f"Error analyzing CSV file: {str(e)}"

@tool
def analyze_excel_file(file_path: str, query: Optional[str] = None) -> str:

    """
    Analyze a excel file using pandas and answer a question about it.
    Args:
        file_path (str): the path to the xls or xlsx file.
        query (str): Question about the data
    """
    if not os.path.isfile(file_path) or not file_path.endswith((".xls", ".xlsx")):
            return "Invalid or missing Excel file."

    try :

        df = pd.read_excel(file_path)
        columns = df.columns
        result = [f"CSV loaded with shape: {df.shape}", f" Columns: {', '.join(columns)}"]

        if query:
            result.append(f"\n Query: {query}")
            result_df = psql.sqldf(query, {"df": df})
            result.append("Query Result:\n" + result_df.to_string(index=False))
        else:
            result.append("\nSummary:\n" + str(df.describe(include='all')))

        return "\n".join(result)

    except Exception as e:
        return f"Error analyzing Excel file: {str(e)}"