# -*-coding: utf-8 -*-
'''
在批量执行 rss 爬虫时, 获取数据后会生成 rss 文件,无需执行此代码, 如需手动生成 rss 文件,执行此代码即可
'''
import os
import threading
import PyRSS2Gen
import time
import pymongo
import tools_load_config

config_json = tools_load_config.load_config()
base_project = tools_load_config.get_base_path()

PROJECT_NAME = config_json.get('PROJECT_NAME')
DB_USER = config_json.get('DB_USER')
DB_PASSWORD = config_json.get('DB_PASSWORD')
DB_IP = config_json.get('DB_IP')
DB_PORT = config_json.get('DB_PORT')
MONGO_LINK = f'mongodb://{DB_USER}:{DB_PASSWORD}@{DB_IP}:{DB_PORT}/'
MAIL_HOST = config_json.get('MAIL_HOST')
MAIL_USER = config_json.get('MAIL_USER')
MAIL_PASS = config_json.get('MAIL_PASS')
MAIL_SENDER = config_json.get('MAIL_SENDER')
MAIL_RECEIVERS = config_json.get('MAIL_RECEIVERS')

now_day = time.strftime('%Y-%m-%d', time.localtime())
rss_base_url = 'http://home.erhe.link:20002/xmlfile/'
base_project = os.path.join(os.getcwd().split(PROJECT_NAME)[0], PROJECT_NAME)


def string_mapping(string):
    mapping_dict = {
        '掌设': 'handheld',
        '汽车': 'car',
        '评测': 'testing',
        '美食': 'food',
        '电脑': 'pc',
        '视听': 'audiovisual',
        '腕表': 'watch',
        '单车': 'bicycle',
        '摄影': 'photograph',
        '家居': 'home'
    }
    for key in mapping_dict:
        if key in string:
            string = string.replace(key, mapping_dict[key])

    return string


def handle_data(db_and_collection):
    db = db_and_collection['db']
    collection = db_and_collection['collection']
    title = db.replace('RSS_', '')
    print(f'读取 {db} -- {collection} 数据')
    client = pymongo.MongoClient(MONGO_LINK)
    _get_db = client[db]
    _get_collection = _get_db[collection]
    gen_file_name = f'{title}_{collection}_rss.xml'
    # 替换中英文
    gen_file_name = string_mapping(gen_file_name)

    link = db_and_collection['link']
    description = db_and_collection['source_type']
    lastBuildDate = now_day
    items = []
    xml_file = os.path.join(base_project, 'news', 'rss_xmlfile')
    path = os.path.join(xml_file, gen_file_name)
    xml_url_file = os.path.join(xml_file, 'rss_url.txt')

    # TODO
    # load mongodb
    # save to item
    for data in _get_collection.find():
        t = data.setdefault('title')
        d = data.setdefault('context')
        l = data.setdefault('source_url')
        item = PyRSS2Gen.RSSItem(
            title=t,
            link=l,
            description=d,
            pubDate=data.setdefault('posted_date'),
        )
        items.append(item)

    gen2rss(gen_file_name, title, link, description, lastBuildDate, items, path)

    with open(xml_url_file, 'a') as f:
        f.write(rss_base_url + gen_file_name + '\n\n')


def gen2rss(gen_file_name, title, link, description, lastBuildDate, items, path):
    rss = PyRSS2Gen.RSS2(
        title=title,
        link=link,
        description=description,
        lastBuildDate=lastBuildDate,
        items=items)

    print('正在生成rss文件: 路径: %s, 文件名: %s' % (path, gen_file_name))
    rss.write_xml(open(path, "w", encoding='utf-8'), encoding='utf-8')


def run():
    xml_file = os.path.join(os.getcwd().split(PROJECT_NAME)[0], PROJECT_NAME, 'news', 'rss_xmlfile')
    if not os.path.exists(xml_file):
        os.mkdir(xml_file)

    rss_url_txt = os.path.join(xml_file, 'rss_url.txt')
    if os.path.exists(rss_url_txt):
        os.remove(rss_url_txt)

    # 每一个列表, 0数据库名, 1爬虫目标网站url, 2目标网站名称
    dbs = [
        ['RSS_HelloGithub', 'https://hellogithub.com/', 'HelloGithub'],
        ['RSS_apprcn', 'https://free.apprcn.com/', '反斗限免'],
        ['RSS_news', 'https://www.anyknew.com/', '聚合新闻'],
        ['RSS_chiphell', 'https://www.chiphell.com/', 'chiphell']
    ]

    db_and_collections = []

    for db in dbs:
        client = pymongo.MongoClient(MONGO_LINK)
        if db[0] not in client.list_database_names():
            print(f'找不到数据库 {db[0]}')
            continue
        _get_db = client[db[0]]
        for collection in _get_db.list_collection_names():
            db_and_collections.append({
                'db': db[0],
                'collection': collection,
                'link': db[1],
                'source_type': db[2]
            })

    # for d in db_and_collections:
    #     handle_data(d)

    # 进程列表
    threads = []

    # 使用 for 循环批量创建线程
    for i in db_and_collections:
        thread = threading.Thread(target=handle_data, args=(i,))
        threads.append(thread)
        thread.start()

    # 等待所有线程执行完成
    for thread in threads:
        thread.join()


run()