天气网七天以内的天气

This commit is contained in:
lsy2246 2024-05-31 14:33:07 +08:00
parent a9fa4915e3
commit 5647c5df2f
20 changed files with 724 additions and 0 deletions

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# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.io/en/latest/deploy.html
[settings]
default = tianqi.settings
[deploy]
#url = http://localhost:6800/
project = tianqi

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# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class TianqiItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
class WeatherItem(scrapy.Item):
region = scrapy.Field()
provincial = scrapy.Field()
data_time = scrapy.Field()
city = scrapy.Field()
weather_1 = scrapy.Field()
wind_direction_1 = scrapy.Field()
wind_power_1 = scrapy.Field()
temperature_1 = scrapy.Field()
weather_2 = scrapy.Field()
wind_direction_2 = scrapy.Field()
wind_power_2 = scrapy.Field()
temperature_2 = scrapy.Field()

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# Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class TianqiSpiderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, or item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Request or item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesnt have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)
class TianqiDownloaderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)

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# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
from openpyxl import Workbook
class TianqiPipeline:
def process_item(self, item, spider):
return item
class ExcelPipeline:
def __init__(self):
self.workbook = Workbook()
self.worksheets = {}
def open_spider(self, spider):
self.workbook = Workbook()
self.workbook.remove(self.workbook.active)
def close_spider(self, spider):
self.workbook.save('weather.xlsx')
self.workbook.close()
def process_item(self, item, spider):
region = item['region']
if region not in self.worksheets:
ws = self.workbook.create_sheet(title=region)
# 定义列标题的顺序
ws.append(['省份', '日期时间', '城市', '白天温度', '白天天气', '白天风向', '白天风力',
'夜间温度', '夜间天气', '夜间风向', '夜间风力'])
self.worksheets[region] = ws
ws = self.worksheets[region]
# 根据标题顺序将数据添加到对应列
ws.append([
item['provincial'], item['data_time'], item['city'],
item['temperature_1'], item['weather_1'], item['wind_direction_1'], item['wind_power_1'],
item['temperature_2'], item['weather_2'], item['wind_direction_2'], item['wind_power_2']
])
return item

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# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.io/en/latest/deploy.html
[settings]
default = tianqi.settings
[deploy]
#url = http://localhost:6800/
project = tianqi

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# Scrapy settings for tianqi project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
BOT_NAME = "tianqi"
SPIDER_MODULES = ["tianqi.spiders"]
NEWSPIDER_MODULE = "tianqi.spiders"
LOG_LEVEL = "WARNING"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36"
# Obey robots.txt rules
ROBOTSTXT_OBEY = False
# Configure maximum concurrent requests performed by Scrapy (default: 16)
# CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 2
RANDOMIZE_DOWNLOAD_DELAY = True
# The download delay setting will honor only one of:
# CONCURRENT_REQUESTS_PER_DOMAIN = 16
# CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
# COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
# TELNETCONSOLE_ENABLED = False
# Override the default request headers:
# DEFAULT_REQUEST_HEADERS = {
# "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
# "Accept-Language": "en",
# }
# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
# SPIDER_MIDDLEWARES = {
# "tianqi.middlewares.TianqiSpiderMiddleware": 543,
# }
# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# DOWNLOADER_MIDDLEWARES = {
# "tianqi.middlewares.TianqiDownloaderMiddleware": 543,
# }
# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
# EXTENSIONS = {
# "scrapy.extensions.telnet.TelnetConsole": None,
# }
# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
"tianqi.pipelines.TianqiPipeline": 300,
"tianqi.pipelines.ExcelPipeline": 301,
}
# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
# AUTOTHROTTLE_ENABLED = True
# The initial download delay
# AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
# AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
# AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
# AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
# HTTPCACHE_ENABLED = True
# HTTPCACHE_EXPIRATION_SECS = 0
# HTTPCACHE_DIR = "httpcache"
# HTTPCACHE_IGNORE_HTTP_CODES = []
# HTTPCACHE_STORAGE = "scrapy.extensions.httpcache.FilesystemCacheStorage"
# Set settings whose default value is deprecated to a future-proof value
REQUEST_FINGERPRINTER_IMPLEMENTATION = "2.7"
TWISTED_REACTOR = "twisted.internet.asyncioreactor.AsyncioSelectorReactor"
FEED_EXPORT_ENCODING = "utf-8"

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# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.

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import scrapy
from urllib.parse import urljoin
from ..items import WeatherItem
class WeatherSpider(scrapy.Spider):
name = "weather"
allowed_domains = ["www.weather.com.cn"]
start_urls = ["http://www.weather.com.cn/textFC/hb.shtml"]
def parse(self, response):
areas = response.xpath('/html/body/div[4]/div[2]/div/div/ul[1]/li')
for area in areas:
area_suffix = area.xpath('.//a/@href').extract_first()
area_url = urljoin(response.url, area_suffix)
yield scrapy.Request(area_url, callback=self.each_page)
def each_page(self, response):
all_days_info = response.xpath("//div[@class='hanml']/div[not(@style='display: none;')]//table")
region = response.xpath('//title/text()').get().replace('天气预报', '')
print(f"正在爬取{region}")
for days_info in all_days_info:
info_trs = days_info.css('tr')
data_time = info_trs[0].xpath(".//td[3]/text()").extract_first().replace('白天', '').replace('夜间', '')
provincial = info_trs[2].xpath(".//td[1]/a/text()").extract_first()
loop_count = 1
for info_tr in info_trs:
loop_count += 1
if loop_count < 4:
continue
if loop_count == 4:
city = info_tr.xpath(".//td[2]/a/text()").extract_first()
weather_1 = info_tr.xpath(".//td[3]/text()").extract_first()
wind_direction_1 = info_tr.xpath(".//td[4]/span[1]/text()").extract_first()
wind_power_1 = info_tr.xpath(".//td[4]/span[2]/text()").extract_first()
temperature_1 = (info_tr.xpath(".//td[5]/text()").extract_first())
weather_2 = info_tr.xpath(".//td[6]/text()").extract_first()
wind_direction_2 = info_tr.xpath(".//td[7]/span[1]/text()").extract_first()
wind_power_2 = info_tr.xpath(".//td[7]/span[2]/text()").extract_first()
temperature_2 = (info_tr.xpath(".//td[8]/text()").extract_first())
else:
city = info_tr.xpath(".//td[1]/a/text()").extract_first()
weather_1 = info_tr.xpath(".//td[2]/text()").extract_first()
wind_direction_1 = info_tr.xpath(".//td[3]/span[1]/text()").extract_first()
wind_power_1 = info_tr.xpath(".//td[3]/span[2]/text()").extract_first()
temperature_1 = (info_tr.xpath(".//td[4]/text()").extract_first())
weather_2 = info_tr.xpath(".//td[5]/text()").extract_first()
wind_direction_2 = info_tr.xpath(".//td[6]/span[1]/text()").extract_first()
wind_power_2 = info_tr.xpath(".//td[6]/span[2]/text()").extract_first()
temperature_2 = (info_tr.xpath(".//td[7]/text()").extract_first())
weather_item = WeatherItem()
weather_item['region'] = region
weather_item['provincial'] = provincial
weather_item['data_time'] = data_time
weather_item['city'] = city
weather_item['weather_1'] = weather_1
weather_item['weather_2'] = weather_2
weather_item['wind_direction_1'] = wind_direction_1
weather_item['wind_power_1'] = wind_power_1
weather_item['temperature_1'] = temperature_1
weather_item['weather_2'] = weather_2
weather_item['wind_direction_2'] = wind_direction_2
weather_item['wind_power_2'] = wind_power_2
weather_item['temperature_2'] = temperature_2
yield weather_item

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# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
class TianqiItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
class WeatherItem(scrapy.Item):
region = scrapy.Field()
provincial = scrapy.Field()
data_time = scrapy.Field()
city = scrapy.Field()
weather_1 = scrapy.Field()
wind_direction_1 = scrapy.Field()
wind_power_1 = scrapy.Field()
temperature_1 = scrapy.Field()
weather_2 = scrapy.Field()
wind_direction_2 = scrapy.Field()
wind_power_2 = scrapy.Field()
temperature_2 = scrapy.Field()

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# Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class TianqiSpiderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, or item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Request or item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesnt have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)
class TianqiDownloaderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)

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# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
from openpyxl import Workbook
class TianqiPipeline:
def process_item(self, item, spider):
return item
class ExcelPipeline:
def __init__(self):
self.workbook = Workbook()
self.worksheets = {}
def open_spider(self, spider):
self.workbook = Workbook()
self.workbook.remove(self.workbook.active)
def close_spider(self, spider):
self.workbook.save('weather.xlsx')
self.workbook.close()
def process_item(self, item, spider):
region = item['region']
if region not in self.worksheets:
ws = self.workbook.create_sheet(title=region)
# 定义列标题的顺序
ws.append(['省份', '日期时间', '城市', '白天温度', '白天天气', '白天风向', '白天风力',
'夜间温度', '夜间天气', '夜间风向', '夜间风力'])
self.worksheets[region] = ws
ws = self.worksheets[region]
# 根据标题顺序将数据添加到对应列
ws.append([
item['provincial'], item['data_time'], item['city'],
item['temperature_1'], item['weather_1'], item['wind_direction_1'], item['wind_power_1'],
item['temperature_2'], item['weather_2'], item['wind_direction_2'], item['wind_power_2']
])
return item

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# Scrapy settings for tianqi project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
BOT_NAME = "tianqi"
SPIDER_MODULES = ["tianqi.spiders"]
NEWSPIDER_MODULE = "tianqi.spiders"
LOG_LEVEL = "WARNING"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36"
# Obey robots.txt rules
ROBOTSTXT_OBEY = False
# Configure maximum concurrent requests performed by Scrapy (default: 16)
# CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 2
RANDOMIZE_DOWNLOAD_DELAY = True
# The download delay setting will honor only one of:
# CONCURRENT_REQUESTS_PER_DOMAIN = 16
# CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
# COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
# TELNETCONSOLE_ENABLED = False
# Override the default request headers:
# DEFAULT_REQUEST_HEADERS = {
# "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
# "Accept-Language": "en",
# }
# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
# SPIDER_MIDDLEWARES = {
# "tianqi.middlewares.TianqiSpiderMiddleware": 543,
# }
# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# DOWNLOADER_MIDDLEWARES = {
# "tianqi.middlewares.TianqiDownloaderMiddleware": 543,
# }
# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
# EXTENSIONS = {
# "scrapy.extensions.telnet.TelnetConsole": None,
# }
# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
"tianqi.pipelines.TianqiPipeline": 300,
"tianqi.pipelines.ExcelPipeline": 301,
}
# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
# AUTOTHROTTLE_ENABLED = True
# The initial download delay
# AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
# AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
# AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
# AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
# HTTPCACHE_ENABLED = True
# HTTPCACHE_EXPIRATION_SECS = 0
# HTTPCACHE_DIR = "httpcache"
# HTTPCACHE_IGNORE_HTTP_CODES = []
# HTTPCACHE_STORAGE = "scrapy.extensions.httpcache.FilesystemCacheStorage"
# Set settings whose default value is deprecated to a future-proof value
REQUEST_FINGERPRINTER_IMPLEMENTATION = "2.7"
TWISTED_REACTOR = "twisted.internet.asyncioreactor.AsyncioSelectorReactor"
FEED_EXPORT_ENCODING = "utf-8"

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# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.

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import scrapy
from urllib.parse import urljoin
from ..items import WeatherItem
class WeatherSpider(scrapy.Spider):
name = "weather"
allowed_domains = ["www.weather.com.cn"]
start_urls = ["http://www.weather.com.cn/textFC/hb.shtml"]
def parse(self, response):
areas = response.xpath('/html/body/div[4]/div[2]/div/div/ul[1]/li')
for area in areas:
area_suffix = area.xpath('.//a/@href').extract_first()
area_url = urljoin(response.url, area_suffix)
yield scrapy.Request(area_url, callback=self.each_page)
def each_page(self, response):
all_days_info = response.xpath("//div[@class='hanml']/div[not(@style='display: none;')]//table")
region = response.xpath('//title/text()').get().replace('天气预报', '')
print(f"正在爬取{region}")
for days_info in all_days_info:
info_trs = days_info.css('tr')
data_time = info_trs[0].xpath(".//td[3]/text()").extract_first().replace('白天', '').replace('夜间', '')
provincial = info_trs[2].xpath(".//td[1]/a/text()").extract_first()
loop_count = 1
for info_tr in info_trs:
loop_count += 1
if loop_count < 4:
continue
if loop_count == 4:
city = info_tr.xpath(".//td[2]/a/text()").extract_first()
weather_1 = info_tr.xpath(".//td[3]/text()").extract_first()
wind_direction_1 = info_tr.xpath(".//td[4]/span[1]/text()").extract_first()
wind_power_1 = info_tr.xpath(".//td[4]/span[2]/text()").extract_first()
temperature_1 = (info_tr.xpath(".//td[5]/text()").extract_first())
weather_2 = info_tr.xpath(".//td[6]/text()").extract_first()
wind_direction_2 = info_tr.xpath(".//td[7]/span[1]/text()").extract_first()
wind_power_2 = info_tr.xpath(".//td[7]/span[2]/text()").extract_first()
temperature_2 = (info_tr.xpath(".//td[8]/text()").extract_first())
else:
city = info_tr.xpath(".//td[1]/a/text()").extract_first()
weather_1 = info_tr.xpath(".//td[2]/text()").extract_first()
wind_direction_1 = info_tr.xpath(".//td[3]/span[1]/text()").extract_first()
wind_power_1 = info_tr.xpath(".//td[3]/span[2]/text()").extract_first()
temperature_1 = (info_tr.xpath(".//td[4]/text()").extract_first())
weather_2 = info_tr.xpath(".//td[5]/text()").extract_first()
wind_direction_2 = info_tr.xpath(".//td[6]/span[1]/text()").extract_first()
wind_power_2 = info_tr.xpath(".//td[6]/span[2]/text()").extract_first()
temperature_2 = (info_tr.xpath(".//td[7]/text()").extract_first())
weather_item = WeatherItem()
weather_item['region'] = region
weather_item['provincial'] = provincial
weather_item['data_time'] = data_time
weather_item['city'] = city
weather_item['weather_1'] = weather_1
weather_item['weather_2'] = weather_2
weather_item['wind_direction_1'] = wind_direction_1
weather_item['wind_power_1'] = wind_power_1
weather_item['temperature_1'] = temperature_1
weather_item['weather_2'] = weather_2
weather_item['wind_direction_2'] = wind_direction_2
weather_item['wind_power_2'] = wind_power_2
weather_item['temperature_2'] = temperature_2
yield weather_item

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