import datetime
import operator
import pathlib

import pandas as pd
import tqdm.auto
import yaml
from huggingface_hub import HfApi

repo_dir = pathlib.Path(__file__).parent


class DemoList:
    COLUMN_INFO = [
        ['status', 'markdown'],
        ['hardware', 'markdown'],
        ['title', 'markdown'],
        ['arxiv', 'markdown'],
        ['github', 'markdown'],
        ['likes', 'number'],
        ['tags', 'str'],
        ['last_modified', 'str'],
        ['created', 'str'],
        ['sdk', 'markdown'],
        ['sdk_version', 'str'],
        ['suggested_hardware', 'markdown'],
    ]

    def __init__(self):
        self.api = HfApi()
        self._raw_data = self.load_data()
        self.df_raw = pd.DataFrame(self._raw_data)
        self.df = self.prettify_df()

    @property
    def column_names(self):
        return list(map(operator.itemgetter(0), self.COLUMN_INFO))

    @property
    def column_datatype(self):
        return list(map(operator.itemgetter(1), self.COLUMN_INFO))

    @staticmethod
    def get_space_id(url: str) -> str:
        return '/'.join(url.split('/')[-2:])

    def load_data(self) -> list[dict]:
        with open(repo_dir / 'list.yaml') as f:
            data = yaml.safe_load(f)
        res = []
        for url in tqdm.auto.tqdm(list(data)):
            space_id = self.get_space_id(url)
            space_info = self.api.space_info(repo_id=space_id)
            card = space_info.cardData
            info = data[url]
            for tag in ['arxiv', 'github', 'tags']:
                if tag not in info:
                    info[tag] = []
            info['url'] = url
            info['title'] = card['title']
            info['sdk'] = card['sdk']
            info['sdk_version'] = card.get('sdk_version', '')
            info['likes'] = space_info.likes
            info['last_modified'] = space_info.lastModified
            info['status'] = space_info.runtime['stage']
            info['suggested_hardware'] = card.get('suggested_hardware', '')
            info['hardware'] = space_info.runtime['hardware']['current']
            if info['hardware'] is None:
                info['hardware'] = space_info.runtime['hardware']['requested']
            res.append(info)
        return res

    def get_arxiv_link(self, links: list[str]) -> str:
        links = [self.create_link(link.split('/')[-1], link) for link in links]
        return '\n'.join(links)

    def get_github_link(self, links: list[str]) -> str:
        links = [self.create_link('github', link) for link in links]
        return '\n'.join(links)

    def get_tag_list(self, tags: list[str]) -> str:
        return ', '.join(tags)

    @staticmethod
    def create_link(text: str, url: str) -> str:
        return f'<a href={url} target="_blank">{text}</a>'

    def to_div(self, text: str | None, category_name: str) -> str:
        if text is None:
            text = ''
        class_name = f'{category_name}-{text.lower()}'
        return f'<div class="{class_name}">{text}</div>'

    @staticmethod
    def format_timestamp(timestamp: str) -> str:
        s = datetime.datetime.strptime(timestamp, '%Y-%m-%dT%H:%M:%S.000Z')
        return s.strftime('%Y/%m/%d %H:%M:%S')

    def prettify_df(self) -> pd.DataFrame:
        new_rows = []
        for _, row in self.df_raw.copy().iterrows():
            new_row = {
                'status':
                self.to_div(row.status, 'status'),
                'hardware':
                self.to_div(row.hardware, 'hardware'),
                'suggested_hardware':
                self.to_div(row.suggested_hardware, 'hardware'),
                'title':
                self.create_link(row.title, row.url),
                'arxiv':
                self.get_arxiv_link(row.arxiv),
                'github':
                self.get_github_link(row.github),
                'likes':
                row.likes,
                'tags':
                self.get_tag_list(row.tags),
                'last_modified':
                self.format_timestamp(row.last_modified),
                'created':
                self.format_timestamp(row.created),
                'sdk':
                self.to_div(row.sdk, 'sdk'),
                'sdk_version':
                row.sdk_version,
            }
            new_rows.append(new_row)
        df = pd.DataFrame(new_rows).loc[:, self.column_names]
        return df