r"""Script to scrape article contents from http://wsjkw.qinghai.gov.cn.

Links are available from pages
http://wsjkw.qinghai.gov.cn/zwgk/xxgkml/index\d*.html. Links are in
the second href of elements with the class `xxgk_content_title`. Dates
are the first span of the same element.

Article contents are in a div with the class `page_text`.
"""

import csv
from typing import List, Tuple

import requests
from bs4 import BeautifulSoup, Tag

PAGE_START = 14
PAGE_END = 75
PAGE_BASE = "https://wsjkw.qinghai.gov.cn/zwgk/xxgkml"


def main():
    """Download articles."""
    links = [
        link
        for page in range(PAGE_START - 1, PAGE_END)
        for link in get_article_links(page)
    ]

    # Write out the links for reference
    with open("articles-qinghai/links.txt", "w+") as f:
        writer = csv.writer(f)
        writer.writerow(["index", "link", "date"])
        for i, link in enumerate(links):
            writer.writerow(i, link[0], link[1])

    for i, link in enumerate(links):
        # Broken links
        #
        # 275 was available as an iframe, and is parsed separately in
        # scrape-iframe.py
        if i in (210, 275, 453, 681, 703, 791, 871, 913, 914, 915):
            continue

        print(f"Downloading {link[0]} ({i}/{len(links)})")

        text = download_article_text(link[0])
        with open(f"articles-qinghai/{link[1]}_{i}.txt", "w+") as f:
            f.write(text)


def get_article_links(page: int) -> List[Tuple[str, str]]:
    """Get all (article link, date) tuples from a specific page."""
    print(f"Scraping page {page}")

    page_link = f"{PAGE_BASE}/index{page}.html"
    soup = BeautifulSoup(requests.get(page_link).text, "html.parser")
    titles = soup.find_all(class_="xxgk_content_title")

    def parse_title(title: Tag) -> Tuple[str, str]:
        date = title.span.get_text()
        link = title.find_all("a")[1].get("href")

        return link, date

    return [parse_title(title) for title in titles]


def download_article_text(link: str) -> str:
    """Get the text of an article from its link."""
    request = requests.get(link)
    request.encoding = "gbk"  # The website responds with the wrong encoding
    soup = BeautifulSoup(request.text, "html.parser")
    return soup.find(class_="page_text").get_text().strip()


if __name__ == "__main__":
    main()