import re
from io import BytesIO

import mechanicalsoup
import pandas as pd
import requests
from PIL import Image as PILImage
from reportlab.lib import colors
from reportlab.lib.enums import TA_CENTER
from reportlab.lib.pagesizes import A4
from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
from reportlab.lib.units import cm
from reportlab.platypus import (
    Image,
    Paragraph,
    SimpleDocTemplate,
    Spacer,
    Table,
    TableStyle,
)
from unidecode import unidecode

import gradio as gr


class PDFPoster:
    def __init__(self, deputy_name: str):
        self.deputy_name = deputy_name

    def retrieve_deputy_data(self):
        self.deputy_data = self.get_deputy_votes_page()
        self.votes = self.get_votes_from_politic_page()
        self.img_url = self.get_politic_image()
        self.party = self.get_politic_party()
        return self.votes

    def generate_poster(
        self,
        vote_list,
        message_1: str = "Les votes de vos députés sont souvent différents de ce que les responsables de partis annoncent dans les médias. Les données de votes sont ouvertes!",
        message_2: str = "Les 30 juin, et 7 juin, renseignez vous, et votez en connaissance de cause !",
    ):
        self.df_subset = self.votes[self.votes["vote_topic"].isin(vote_list)]

        buffer = BytesIO()
        document = SimpleDocTemplate(buffer, pagesize=A4)

        # Set up the styles
        styles = getSampleStyleSheet()
        title_style = styles["Title"]
        title_style.alignment = TA_CENTER
        subtitle_style = styles["Heading2"]
        subtitle_style.alignment = TA_CENTER
        subtitle_style.fontName = "Helvetica-Bold"

        normal_style = styles["Normal"]
        normal_style.alignment = TA_CENTER

        red_style = ParagraphStyle(
            "red", parent=subtitle_style, textColor=colors.red, fontSize=20
        )

        # Add a title
        title = Paragraph(
            f"Les votes de votre député sortant : {self.deputy_name}", title_style
        )
        subtitle = Paragraph(f"Parti : {self.party} ", subtitle_style)
        source = Paragraph(f"Source : {self.deputy_data['url']}", normal_style)
        after_text = Paragraph(message_1, subtitle_style)
        vote_text = Paragraph(message_2, red_style)

        # Add an image
        # Open the image URL with BytesIO
        image_response = requests.get(self.img_url)
        image_bytes = BytesIO(image_response.content)
        image = Image(image_bytes)
        image.drawHeight = 6 * cm
        image.drawWidth = 5 * cm

        # Create a list of sentences
        sentences = self.df_subset["vote_topic"].tolist()
        votes = self.df_subset["for_or_against"].tolist()

        # Create the table data
        table_data = [["Sujet", "Vote"]]
        for vote, sentence in zip(sentences, votes):
            row = [
                Paragraph(vote, normal_style),
                Paragraph(sentence, normal_style),
            ]
            table_data.append(row)

        # Create the table
        table = Table(table_data)
        table.setStyle(
            TableStyle(
                [
                    ("BACKGROUND", (0, 0), (-1, 0), colors.white),
                    ("TEXTCOLOR", (0, 0), (-1, 0), colors.black),
                    ("ALIGN", (0, 0), (-1, -1), "CENTER"),
                    ("FONTNAME", (0, 0), (-1, 1), "Helvetica-Bold"),
                    ("FONTSIZE", (0, 0), (-1, 0), 14),
                    ("BOTTOMPADDING", (0, 0), (-1, 0), 12),
                    ("ALIGN", (0, 1), (-1, -1), "CENTER"),
                    ("BACKGROUND", (0, 1), (-1, -1), colors.white),
                    ("GRID", (0, 0), (-1, -1), 1, colors.black),
                ]
            )
        )

        # Function to apply conditional formatting
        def apply_conditional_styles(table, data):
            style = TableStyle()
            for row_idx, row in enumerate(data):
                for col_idx, cell in enumerate(row):
                    if isinstance(cell, Paragraph):
                        if "POUR" in cell.text:
                            style.add(
                                "BACKGROUND",
                                (col_idx, row_idx),
                                (col_idx, row_idx),
                                colors.green,
                            )
                        elif "CONTRE" in cell.text:
                            style.add(
                                "BACKGROUND",
                                (col_idx, row_idx),
                                (col_idx, row_idx),
                                colors.red,
                            )
                        elif "ABSTENTION" in cell.text:
                            style.add(
                                "BACKGROUND",
                                (col_idx, row_idx),
                                (col_idx, row_idx),
                                colors.beige,
                            )
            return style

        table.setStyle(apply_conditional_styles(table, table_data))

        # Build the PDF
        elements = [
            title,
            Spacer(1, 6),
            subtitle,
            Spacer(1, 12),
            image,
            Spacer(1, 12),
            table,
            source,
            Spacer(1, 8),
            after_text,
            Spacer(1, 8),
            vote_text,
        ]
        document.build(elements)

        buffer.seek(0)

        return buffer

    def get_deputy_votes_page(self):
        """Fetches the webpage containing the voting records of a specified deputy.

        Args:
            politic_name (str): Name of the deputy.
        Returns:
            politic_dict (dict): Dictionary containing the html page, the url and the
            name of the deputy."""
        politic_name = unidecode(self.deputy_name.lower()).replace(" ", "-")

        browser = mechanicalsoup.StatefulBrowser()
        url = "https://datan.fr/deputes"
        research_page = browser.open(url)
        research_html = research_page.soup

        politic_card = research_html.select(f'a[href*="{politic_name}"]')
        if politic_card:
            url_politic = politic_card[0]["href"]
            politic_page = browser.open(url_politic + "/votes")
            politic_html = politic_page.soup
            politic_dict = {
                "html_page": politic_html,
                "url": url_politic,
                "name": politic_name,
            }
            return politic_dict
        else:
            raise ValueError(f"Politic {politic_name} not found")

    def get_votes_from_politic_page(self):
        """Extracts the voting records from the html page of a deputy.

        Args:
            politic_dict (dict): Dictionary containing the html page, the url and the
            name of the deputy.
        Returns:
            df (pd.DataFrame): DataFrame containing the voting records of the deputy."""
        politic_html = self.deputy_data["html_page"]
        politic_name = self.deputy_data["name"]
        vote_elements = politic_html.find_all("div", class_="card card-vote")
        vote_categories = politic_html.find_all(
            class_=re.compile("col-md-6 sorting-item*")
        )
        votes = []
        for i, vote_element in enumerate(vote_elements):
            for_or_against = (
                vote_element.find("div", class_="d-flex align-items-center")
                .text.replace("\n", "")
                .strip()
            )
            vote_topic = (
                vote_element.find("a", class_="stretched-link underline no-decoration")
                .text.replace("\n", "")
                .strip()
            )
            vote_id = (
                vote_element.find("a", class_="stretched-link underline no-decoration")[
                    "href"
                ]
                .split("/")[-1]
                .replace("\n", "")
                .strip()
            )
            vote_date = (
                vote_element.find("span", class_="date").text.replace("\n", "").strip()
            )
            vote_category = vote_categories[i]["class"][-1]
            votes.append(
                [
                    vote_id,
                    for_or_against,
                    vote_topic,
                    vote_date,
                    politic_name,
                    vote_category,
                ]
            )
        df = pd.DataFrame(
            votes,
            columns=[
                "vote_id",
                "for_or_against",
                "vote_topic",
                "vote_date",
                "politic_name",
                "vote_category",
            ],
        )
        return df

    def get_politic_image(self):
        """Fetches the image of a deputy.

        Args:
            politic_name (str): Name of the deputy.
        Returns:
            image (str): URL of the image of the deputy."""
        image = self.deputy_data["html_page"].find("img", alt=self.deputy_name)
        image_src = image.get("src")
        return image_src

    def get_politic_party(self):
        party = (
            self.deputy_data["html_page"]
            .find("div", class_="link-group text-center mt-1")
            .text.replace("\n", "")
            .strip()
        )
        return party


css = """
#col-container {
    margin: 0 auto;
    max-width: 800px;
}
"""


def fetch_votes(deputy_name):
    pdfposter = PDFPoster(deputy_name)
    votes = pdfposter.retrieve_deputy_data()
    vote_list = votes["vote_id"].tolist()
    vote_list = votes["vote_topic"].tolist()
    return gr.update(choices=vote_list)


def generate_poster(deputy_name, message_1, message_2, vote_list):
    # Set default messages if not provided
    if not message_1:
        message_1 = "Les votes de vos députés sont souvent différents de ce que les responsables de partis annoncent dans les médias. Les données de votes sont ouvertes!"
    if not message_2:
        message_2 = "Les 30 juin, et 7 juillet, renseignez vous, et votez en connaissance de cause !"

    pdfposter = PDFPoster(deputy_name)
    pdfposter.retrieve_deputy_data()
    pdf_buffer = pdfposter.generate_poster(vote_list, message_1, message_2)

    filename = f"/data/{deputy_name}_votes.pdf"
    # Generate a preview image of the first page
    with open(filename, "wb") as f:
        f.write(pdf_buffer.read())

    preview_df = pdfposter.df_subset
    img_url = pdfposter.img_url
    image_response = requests.get(img_url)
    image_bytes = BytesIO(image_response.content)
    image = PILImage.open(image_bytes)
    return preview_df, image, filename


with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.Markdown("""
        # Réalise une affiche des votes de ton député !
        Tuto: 
        1. Entre le nom du député sortant de ton choix si tu ne le connais pas RDV sur www.datan.fr ou www.nosdeputes.fr
        2. Sélectionne les votes que tu souhaites voir apparaître sur l'affiche
        3. Génère l'affiche 
        4. Télécharge le PDF et imprime le pour l'afficher partout ! 
        """)

        with gr.Row():
            deputy_name = gr.Text(
                label="deputy_name",
                show_label=False,
                max_lines=1,
                placeholder="Nom du député, si tu ne le connais pas RDV sur www.datan.fr ou www.nosdeputes.fr",
                container=False,
            )
            fetch_button = gr.Button("Récupère ses votes importants", scale=0)

        vote_list = gr.CheckboxGroup(label="Select Votes", choices=[])

        with gr.Row():
            message_1 = gr.Text(
                label="message_1",
                max_lines=1,
                placeholder="Les votes de vos députés sont souvent différents de ce que les responsables de partis annoncent dans les médias. Les données de votes sont ouvertes!",
                visible=True,
            )
            message_2 = gr.Text(
                label="message_2",
                max_lines=1,
                placeholder="Les 30 juin, et 7 juillet, renseignez vous, et votez en connaissance de cause !",
                visible=True,
            )

        generate_button = gr.Button("Générer l'affiche ! ", scale=0)
        image_preview = gr.Image(label="Image", height=200, width=240)
        df_preview = gr.Dataframe(label="Votes")
        pdf_output = gr.File(label="Télécharger le PDF")

    fetch_button.click(fn=fetch_votes, inputs=deputy_name, outputs=vote_list)

    generate_button.click(
        fn=generate_poster,
        inputs=[deputy_name, message_1, message_2, vote_list],
        outputs=[df_preview, image_preview, pdf_output],
    )

demo.queue().launch()