# modules/text.py

# -*- coding: utf-8 -*-
#
# PROJECT:      CognitiveEDA v5.0 - The QuantumLeap Intelligence Platform
#
# DESCRIPTION:  Specialized module for basic text analysis, focused on generating
#               a word cloud visualization from a text-heavy column.

import base64
import io
import logging

import pandas as pd
from wordcloud import WordCloud

def generate_word_cloud(df: pd.DataFrame, text_col: str) -> str:
    """
    Generates a word cloud from a text column and returns it as an HTML object.

    The function processes the text, generates a word cloud image, encodes it
    in Base64, and embeds it within an HTML string for display in Gradio.

    Args:
        df: The input DataFrame.
        text_col: The name of the column containing text data.

    Returns:
        An HTML string containing the word cloud image or a status/error message.
    """
    # 1. Input Validation
    if not text_col:
        return "<p style='text-align:center; padding: 20px;'>Select a text column to generate a word cloud.</p>"
    
    if text_col not in df.columns:
        return f"<p style='text-align:center; color:red; padding: 20px;'>Error: Column '{text_col}' not found in the dataset.</p>"

    try:
        logging.info(f"Generating word cloud for column '{text_col}'")
        
        # 2. Text Corpus Preparation
        # Concatenate all non-null text entries into a single string
        text_corpus = ' '.join(df[text_col].dropna().astype(str))

        if not text_corpus.strip():
            logging.warning(f"Column '{text_col}' contains no text data to generate a cloud.")
            return "<p style='text-align:center; padding: 20px;'>No text data available in this column to generate a cloud.</p>"

        # 3. Word Cloud Generation
        wordcloud = WordCloud(
            width=800,
            height=400,
            background_color='white',
            colormap='viridis',
            max_words=150,
            collocations=False # Avoids generating two-word phrases
        ).generate(text_corpus)

        # 4. Image Encoding
        buf = io.BytesIO()
        wordcloud.to_image().save(buf, format='png')
        img_str = base64.b64encode(buf.getvalue()).decode('utf-8')
        
        # 5. HTML Output
        # The style attribute makes the image responsive to container width
        html_content = (
            f'<div style="text-align:center; padding: 10px;">'
            f'<img src="data:image/png;base64,{img_str}" alt="Word Cloud for {text_col}" '
            f'style="border-radius: 8px; max-width: 100%; height: auto;">'
            f'</div>'
        )
        return html_content

    except Exception as e:
        logging.error(f"Word cloud generation failed for column '{text_col}': {e}", exc_info=True)
        error_msg = f"Could not generate word cloud. An unexpected error occurred: {e}"
        return f"<p style='text-align:center; color:red; padding: 20px;'>❌ **Error:** {error_msg}</p>"