sports_scrapy/hg3535/spiders/saiguo.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import datetime
import re

import scrapy
from lxml import etree

from ..items import Hgsaiguo


class HgjieshuSpider(scrapy.Spider):
    name = 'saiguo'
    to_day = datetime.datetime.now()
    allowed_domains = ['hg3535z.com']
    custom_settings = {
        "ITEM_PIPELINES": {
            'hg3535.pipeline.saiguo.Jieshuqiupipeline': 300,
        },
        # 'LOG_LEVEL': 'DEBUG',
        # 'LOG_FILE': "../hg3535/log/saiguo{}_{}_{}.log".format(to_day.year, to_day.month, to_day.day)
    }

    def start_requests(self):
        for y in range(1, 5):
            for z in range(1, 3):
                url = 'https://www.hg3535.cn/zh-cn/info-centre/sportsbook-info/results/{}/normal/{}'.format(y, z)
                yield scrapy.Request(url=url, callback=self.parse, dont_filter=True, meta={'pt': y, "page": z})

    def parse(self, response):
        if response.status == 200:
            pt = response.meta['pt']
            page = response.meta['page']
            if page == 1:
                us_datetime = datetime.datetime.now() - datetime.timedelta(hours=12)
            else:
                us_datetime = datetime.datetime.now() - datetime.timedelta(hours=36)
            match_date = us_datetime.strftime("%Y-%m-%d")
            # 足球赛果
            if pt == 1:
                league_ids = response.xpath('//div[@class="rt-l-bar football"]/@id').extract()
                league_names = response.xpath('//div[@class="rt-l-bar football"]/span[@class="comp-txt"]/text()').extract()
                if league_ids:
                    for index in range(len(league_ids)):
                        league_id = league_ids[index]
                        league_name = league_names[index]
                        response_data = response.xpath('//div[@id="dt-{}"]'.format(league_id)).extract_first()
                        data = etree.HTML(response_data)
                        # 球队名
                        # team_names = data.xpath('//div[@class="rt-event"]/@title')
                        h_names = data.xpath('//div[@class="rt-event"]/span[1]')
                        a_names = data.xpath('//div[@class="rt-event"]/span[3]')
                        # 全场
                        f_scores = data.xpath('.//div[contains(@class, "rt-ft ")]')
                        # 上半场
                        h_scores = data.xpath('.//div[contains(@class, "rt-ht ")]')
                        # 时间
                        stimes = data.xpath('//div[@class="rt-event"]/../div[1]/span/text()')
                        match_ids = data.xpath('//div[@class="flex-wrap"]/../div[1]/@id')
                        odd_datas = data.xpath('//div[contains(@class, "rt-sub ")]/table/tbody[2]')
                        for y in range(len(odd_datas)):
                            match_id = match_ids[y].replace('e-', '')
                            league_id = league_id.replace('cmp-', '')
                            # 子集玩法
                            odd_names = odd_datas[y].xpath('.//tr/td[2]')
                            # 子集玩法结果
                            odd_plays = odd_datas[y].xpath('.//tr/td[3]/span')
                            # 主队
                            h_name = h_names[y].text
                            # 客队
                            a_name = a_names[y].text
                            # 上半场
                            h_score = h_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 全场
                            f_score = f_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 正则时间匹配规则
                            pattern = re.compile(r"\d{1,3}:\d{1,3}")
                            match_time = pattern.findall(stimes[y])[0]
                            play_datas = []
                            if odd_names:
                                for i in range(len(odd_names)):
                                    name = odd_names[i].text
                                    plays = odd_plays[i].xpath('text()')
                                    if len(plays) == 2:
                                        play = '{}&&{}'.format(plays[0], plays[1])
                                    else:
                                        play = plays[0]
                                    play_datas.append({'play_name': name, 'play_result': play})
                            item = Hgsaiguo()
                            item["league_id"] = league_id
                            item["league_name"] = league_name
                            item["match_id"] = match_id
                            item["match_date"] = match_date
                            item["match_time"] = match_time
                            item["home_team"] = h_name
                            item["guest_team"] = a_name
                            item["score_half"] = h_score
                            item["score_full"] = f_score
                            item["play_data"] = play_datas
                            item["pt"] = pt
                            item["page"] = page
                            yield item
                else:
                    return

            # 篮球赛果
            if pt == 2:
                league_ids = response.xpath('//div[@class="rt-l-bar sportHasQuater"]/@id').extract()
                league_names = response.xpath('//div[@class="rt-l-bar sportHasQuater"]/span[@class="comp-txt"]/text()').extract()
                if league_ids:
                    for index in range(len(league_ids)):
                        league_id = league_ids[index]
                        league_name = league_names[index]
                        response_data = response.xpath('//div[@id="dt-{}"]'.format(league_id)).extract_first()
                        data = etree.HTML(response_data)
                        # 球队名
                        h_names = data.xpath('//div[@class="rt-event"]/span[1]')
                        a_names = data.xpath('//div[@class="rt-event"]/span[3]')
                        # 全场
                        f_scores = data.xpath('.//div[@class="rt-qft"]')
                        # 上半场
                        h_scores = data.xpath('.//div[@class="rt-qt1"]')
                        # 下半场
                        x_scores = data.xpath('.//div[@class="rt-qt2"]')
                        # 时间
                        stimes = data.xpath('//div[@class="rt-event"]/../div[1]/span/text()')
                        match_ids = data.xpath('//div[@class="flex-wrap"]/../div[1]/@id')
                        odd_datas = data.xpath('//div[contains(@class, "rt-sub ")]/table/tbody[2]')
                        for y in range(len(odd_datas)):
                            match_id = match_ids[y].replace('e-', '')
                            league_id = league_id.replace('cmp-', '')
                            # 子集玩法
                            child_data = odd_datas[y].xpath('./tr')
                            # 主队
                            h_name = h_names[y].text
                            # 客队
                            a_name = a_names[y].text
                            # 上半场
                            h_score = h_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 全场
                            f_score = f_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 下半场
                            x_score = x_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 正则时间匹配规则
                            pattern = re.compile(r"\d{1,3}:\d{1,3}")
                            match_time = pattern.findall(stimes[y])[0]
                            play_datas = []
                            if child_data:
                                h_dict = {'team_name': h_name}
                                a_dict = {'team_name': a_name}
                                for i in range(len(child_data)):
                                    if i == 0:
                                        h_datas = child_data[i].xpath('.//td/table/tbody/tr[3]/td[@class="r-odds"]')
                                        a_datas = child_data[i].xpath('.//td/table/tbody/tr[4]/td[@class="r-odds"]')
                                        rule = {0: "sc_1th", 1: "sc_2th", 2: "sc_3th", 3: "sc_4th", 4: "sc_other"}
                                        if h_datas and a_datas:
                                            for x in range(len(h_datas)):
                                                # 主队节得分
                                                h_data = h_datas[x].text.replace(' ', '').replace('\r\n', '')
                                                h_dict[rule[x]] = h_data
                                                # 客队节得分
                                                a_data = a_datas[x].text.replace(' ', '').replace('\r\n', '')
                                                a_dict[rule[x]] = a_data
                                    else:
                                        # 子玩法名
                                        child_name = child_data[i].xpath('.//td[contains(@class, "r-bt ")]/text()')[0].replace(' ', '').replace('\r\n', '')
                                        # 子玩法结果
                                        child_play = child_data[i].xpath('.//td[@class="r-odds"]/span[@class="prop"]/text()')[0]
                                        play_datas.append({"play_name": child_name, "play_result": child_play})
                                play_datas.append(h_dict)
                                play_datas.append(a_dict)
                            item = Hgsaiguo()
                            item["league_id"] = league_id
                            item["league_name"] = league_name
                            item["match_id"] = match_id
                            item["match_date"] = match_date
                            item["match_time"] = match_time
                            item["home_team"] = h_name
                            item["guest_team"] = a_name
                            item["score_half"] = h_score
                            item["score_result"] = f_score
                            item["play_data"] = play_datas
                            item["pt"] = pt
                            item["page"] = page
                            item["score_below"] = x_score
                            yield item
                else:
                    return
            #
            # 网球赛果
            if pt == 3:
                league_ids = response.xpath('//div[@class="rt-l-bar tennis"]/@id').extract()
                league_names = response.xpath('//div[@class="rt-l-bar tennis"]/span[@class="comp-txt"]/text()').extract()
                if league_ids:
                    for index in range(len(league_ids)):
                        league_id = league_ids[index]
                        league_name = league_names[index]
                        response_data = response.xpath('//div[@id="dt-{}"]'.format(league_id)).extract_first()
                        data = etree.HTML(response_data)
                        # 球队名
                        h_names = data.xpath('//div[@class="rt-event"]/span[1]')
                        a_names = data.xpath('//div[@class="rt-event"]/span[3]')
                        # 赛果
                        f_scores = data.xpath('.//div[@class="rt-set"]')
                        # 时间
                        stimes = data.xpath('//div[@class="rt-event"]/../div[1]/span/text()')
                        # 赛事id
                        match_ids = data.xpath('//div[@class="flex-wrap"]/../div[1]/@id')
                        # 详细赛果信息, 比分等
                        odd_datas = data.xpath('//div[contains(@class, "rt-sub ")]/table/tbody')
                        for y in range(len(odd_datas)):
                            match_id = match_ids[y].replace('e-', '')
                            league_id = league_id.replace('cmp-', '')
                            # 子集玩法
                            child_data = odd_datas[y].xpath('./tr')
                            # 主队
                            h_name = h_names[y].text
                            # 客队
                            a_name = a_names[y].text
                            # 全场
                            f_score = f_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 正则时间匹配规则
                            pattern = re.compile(r"\d{1,3}:\d{1,3}")
                            match_time = pattern.findall(stimes[y])[0]
                            play_datas = []
                            if child_data:
                                rule = {0: "sc_1th", 1: "sc_2th", 2: "sc_3th", 3: "sc_4th", 4: "sc_5th", 5: "game_num", 6: "disc_num"}
                                h_dict = {'team_name': h_name}
                                a_dict = {'team_name': a_name}
                                for i in range(len(child_data)):
                                    if i == 0:
                                        h_datas = child_data[i].xpath('.//tbody/tr[3]/td[contains(@class, "r-odds")]')
                                        a_datas = child_data[i].xpath('.//tbody/tr[4]/td[contains(@class, "r-odds")]')
                                        if h_datas and a_datas:
                                            for x in range(len(h_datas)):
                                                # 主队节得分
                                                h_data = h_datas[x].text.replace(' ', '').replace('\r\n', '')
                                                h_dict[rule[x]] = h_data
                                                # 客队节得分
                                                a_data = a_datas[x].text.replace(' ', '').replace('\r\n', '')
                                                a_dict[rule[x]] = a_data
                                    else:
                                        # 子玩法名
                                        child_name = child_data[i].xpath('.//td[contains(@class, "r-bt ")]/text()')[0].replace(' ', '').replace('\r\n', '')
                                        # 子玩法结果
                                        child_play = child_data[i].xpath('.//td[@class="r-odds"]/span[@class="prop"]')[0]
                                        play = child_play.xpath('string(.)')
                                        play_datas.append({"play_name": child_name, "play_result": play})
                                play_datas.append(h_dict)
                                play_datas.append(a_dict)
                            item = Hgsaiguo()
                            item["league_id"] = league_id
                            item["league_name"] = league_name
                            item["match_id"] = match_id
                            item["match_date"] = match_date
                            item["match_time"] = match_time
                            item["home_team"] = h_name
                            item["guest_team"] = a_name
                            item["score_result"] = f_score
                            item["play_data"] = play_datas
                            item["pt"] = pt
                            item["page"] = page
                            yield item
                else:
                    return

            # 棒球赛果
            if pt == 4:
                league_ids = response.xpath('//div[@class="rt-l-bar baseball"]/@id').extract()
                league_names = response.xpath('//div[@class="rt-l-bar baseball"]/span[@class="comp-txt"]/text()').extract()
                if league_ids:
                    for index in range(len(league_ids)):
                        league_id = league_ids[index]
                        league_name = league_names[index]
                        response_data = response.xpath('//div[@id="dt-{}"]'.format(league_id)).extract_first()
                        data = etree.HTML(response_data)
                        # 球队名
                        h_names = data.xpath('//div[@class="rt-event"]/span[1]')
                        a_names = data.xpath('//div[@class="rt-event"]/span[3]')
                        # 全场
                        f_scores = data.xpath('.//div[@class="rt-ft"]')
                        # 上半场
                        h_scores = data.xpath('.//div[@class="rt-ht"]')
                        # 时间
                        stimes = data.xpath('//div[@class="rt-event"]/../div[1]/span/text()')
                        # 子集玩法
                        # odd_names = data.xpath('//div[@class="rt-sub rt-data-hide"]/table/tbody[2]/tr/td[2]')
                        # 子集玩法结果
                        # odd_plays = data.xpath('//div[@class="rt-sub rt-data-hide"]/table/tbody[2]/tr/td[3]/span')
                        match_ids = data.xpath('//div[@class="flex-wrap"]/../div[1]/@id')
                        odd_datas = data.xpath('//div[contains(@class, "rt-sub")]/table/tbody')
                        for y in range(len(odd_datas)):
                            match_id = match_ids[y].replace('e-', '')
                            league_id = league_id.replace('cmp-', '')
                            # 子集玩法
                            odd_names = odd_datas[y].xpath('.//tr/td[2]')
                            # 子集玩法结果
                            odd_plays = odd_datas[y].xpath('.//tr/td[3]/span')
                            # 主队
                            h_name = h_names[y].text
                            # 客队
                            a_name = a_names[y].text
                            # 上半场
                            h_score = h_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 全场
                            f_score = f_scores[y].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                            # 正则时间匹配规则
                            pattern = re.compile(r"\d{1,3}:\d{1,3}")
                            match_time = pattern.findall(stimes[y])[0]
                            play_datas = []
                            if odd_names:
                                for i in range(len(odd_names)):
                                    # 子玩法名
                                    name = odd_names[i].text.replace(' ', '').replace('\r\n', '')
                                    # 子玩法赛果
                                    play = odd_plays[i].xpath('string(.)').replace(' ', '').replace('\r\n', '')
                                    play_datas.append({"play_name": name, "play_result": play})
                            item = Hgsaiguo()
                            item["league_id"] = league_id
                            item["league_name"] = league_name
                            item["match_id"] = match_id
                            item["match_date"] = match_date
                            item["match_time"] = match_time
                            item["home_team"] = h_name
                            item["guest_team"] = a_name
                            item["score_half"] = h_score
                            item["score_full"] = f_score
                            item["play_data"] = play_datas
                            item["pt"] = pt
                            item["page"] = page
                            yield item
                else:
                    return