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python - 从不包括管道的脚本运行 scrapy

转载 作者:IT王子 更新时间:2023-10-29 06:23:07 29 4
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我正在从脚本运行 scrapy,但它所做的只是激活蜘蛛。它不会通过我的项目管道。我读过 http://scrapy.readthedocs.org/en/latest/topics/practices.html但它没有说明包含管道。

我的设置:

Scraper/
scrapy.cfg
ScrapyScript.py
Scraper/
__init__.py
items.py
pipelines.py
settings.py
spiders/
__init__.py
my_spider.py

我的脚本:

from twisted.internet import reactor
from scrapy.crawler import Crawler
from scrapy.settings import Settings
from scrapy import log, signals
from Scraper.spiders.my_spider import MySpiderSpider

spider = MySpiderSpider(domain='myDomain.com')
settings = get_project_settings
crawler = Crawler(Settings())
crawler.signals.connect(reactor.stop, signal=signals.spider_closed)
crawler.configure()
crawler.crawl(spider)
crawler.start()
log.start()
log.msg('Reactor activated...')
reactor.run()
log.msg('Reactor stopped.')

我的管道:

from scrapy.exceptions import DropItem
from scrapy import log
import sqlite3


class ImageCheckPipeline(object):

def process_item(self, item, spider):
if item['image']:
log.msg("Item added successfully.")
return item
else:
del item
raise DropItem("Non-image thumbnail found: ")


class StoreImage(object):

def __init__(self):
self.db = sqlite3.connect('images')
self.cursor = self.db.cursor()
try:
self.cursor.execute('''
CREATE TABLE IMAGES(IMAGE BLOB, TITLE TEXT, URL TEXT)
''')
self.db.commit()
except sqlite3.OperationalError:
self.cursor.execute('''
DELETE FROM IMAGES
''')
self.db.commit()

def process_item(self, item, spider):
title = item['title'][0]
image = item['image'][0]
url = item['url'][0]
self.cursor.execute('''
INSERT INTO IMAGES VALUES (?, ?, ?)
''', (image, title, url))
self.db.commit()

脚本输出:

[name@localhost Scraper]$ python ScrapyScript.py
2014-08-06 17:55:22-0400 [scrapy] INFO: Reactor activated...
2014-08-06 17:55:22-0400 [my_spider] INFO: Closing spider (finished)
2014-08-06 17:55:22-0400 [my_spider] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 213,
'downloader/request_count': 1,
'downloader/request_method_count/GET': 1,
'downloader/response_bytes': 18852,
'downloader/response_count': 1,
'downloader/response_status_count/200': 1,
'finish_reason': 'finished',
'finish_time': datetime.datetime(2014, 8, 6, 21, 55, 22, 518492),
'item_scraped_count': 51,
'response_received_count': 1,
'scheduler/dequeued': 1,
'scheduler/dequeued/memory': 1,
'scheduler/enqueued': 1,
'scheduler/enqueued/memory': 1,
'start_time': datetime.datetime(2014, 8, 6, 21, 55, 22, 363898)}
2014-08-06 17:55:22-0400 [my_spider] INFO: Spider closed (finished)
2014-08-06 17:55:22-0400 [scrapy] INFO: Reactor stopped.
[name@localhost Scraper]$

最佳答案

@Pawel's 和 the docs'解决方案对我不起作用,在查看 Scrapy's source code 之后,我意识到在某些情况下它没有正确识别设置模块。我想知道为什么管道没有被使用,直到我意识到它们从来没有从脚本中找到。

正如文档和 Pawel 所说,我使用的是:

from scrapy.utils.project import get_project_settings
settings = get_project_settings()
crawler = Crawler(settings)

但是,调用时:

print "these are the pipelines:"
print crawler.settings.__dict__['attributes']['ITEM_PIPELINES']

我得到了:

these are the pipelines:
<SettingsAttribute value={} priority=0>

settings 未正确填充。

我意识到需要的是项目设置模块的路径,相对于包含调用 Scrapy 的脚本的模块,例如scrapy.myproject.settings。然后,我创建了 Settings() 对象,如下所示:

from scrapy.settings import Settings

settings = Settings()
os.environ['SCRAPY_SETTINGS_MODULE'] = 'scraper.edx_bot.settings'
settings_module_path = os.environ['SCRAPY_SETTINGS_MODULE']
settings.setmodule(settings_module_path, priority='project')

我使用的有效导入管道的完整代码是:

from twisted.internet import reactor
from scrapy.crawler import Crawler
from scrapy import log, signals
from scrapy.settings import Settings
from scrapy.utils.project import get_project_settings
from scrapy.myproject.spiders.first_spider import FirstSpider

spider = FirstSpider()

settings = Settings()
os.environ['SCRAPY_SETTINGS_MODULE'] = 'scrapy.myproject.settings'
settings_module_path = os.environ['SCRAPY_SETTINGS_MODULE']
settings.setmodule(settings_module_path, priority='project')
crawler = Crawler(settings)

crawler.signals.connect(reactor.stop, signal=signals.spider_closed)
crawler.configure()
crawler.crawl(spider)
crawler.start()
log.start(loglevel=log.INFO)
reactor.run()

关于python - 从不包括管道的脚本运行 scrapy,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25170682/

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