src/application/formatting_ordinary_user.py

from src.application.config import WORD_BREAK


def create_ordinary_user_table(self):
    rows = []
    rows.append(self.format_image_ordinary_user_row())
    rows.append(self.format_text_ordinary_user_row())
    table = "\n".join(rows)

    return f"""
<h5>Comparison between input news and source news:</h5>
<table border="1" style="width:100%; text-align:left;">
<col style="width: 340px;">
<col style="width: 30px;">
<col style="width: 75px;">
    <thead>
        <tr>
            <th>Input news</th>
            <th>Forensic</th>
            <th>Originality</th>
        </tr>
    </thead>
    <tbody>
        {table}
    </tbody>
</table>

<style>
    """

def format_text_ordinary_user_row(self):
    input_sentences = ""
    source_text_urls = ""
    urls = []
    for _, row in self.aligned_sentences_df.iterrows():
        if row["input"] is None:
            continue
        
        input_sentences += row["input"] + "<br><br>"
        url = row["url"]
        if url not in urls:
            urls.append(url)
            source_text_urls += f"""<a href="{url}">{url}</a><br>"""

    return f"""
            <tr>
                <td>{input_sentences}</td>
                <td>{self.text_prediction_label[0]}<br>
                ({self.text_prediction_score[0] * 100:.2f}%)</td>
                <td style="{WORD_BREAK}";>{source_text_urls}</td>
            </tr>
            """

def format_image_ordinary_user_row(
    image_referent_url: str,
    image_prediction_label: str,
    image_prediction_score: float,
):
    """
    Formats an HTML table row for ordinary users, 
        displaying image analysis results.

    Args:
        image_referent_url (str): The URL of the referenced image.
        image_prediction_label (str): The predicted label for the image.
        image_prediction_score (float): The prediction score for the image.

    Returns:
        str: An HTML table row string containing the image analysis results.
    """

    # Put image, label, and score into html tag
    if (
        image_referent_url is not None
        or image_referent_url != ""
    ):
        source_image_url = f"""<a href="{image_referent_url}">{image_referent_url}</a>"""  # noqa: E501
    else:
        source_image_url = ""

    return f"""
<tr>
    <td>input image</td>
    <td>{image_prediction_label}<br>({image_prediction_score:.2f}%)</td>
    <td style="{WORD_BREAK}";>{source_image_url}</td>
</tr>
"""