Question

在Docker 18.09.5版本中，当我键入以下内容时，构建e8ff056和filebeat：7.1.1（由elasticsearch进行）

from bs4 import BeautifulSoup
import time
from time import sleep
from datetime import datetime
import requests
import csv

print(" Initializing ...")
print(" Loading Keywords")
with open("C:/pcodes.txt") as pcodes:
    postkeys = []
    for line in pcodes:
        postkeys.append(line.strip())

with open("C:/pcodnum.txt") as pcodnum:
    postkeynum = []
    for line in pcodnum:
        postkeynum.append(line.strip())

print(" Welcome to YellScrape v1.0")
print(" You are searching yell.com ")

comtype = input(" Please enter a Company Type (e.g Newsagent, Barber): ")
pagesnum = 0
listinnum = 0
comloc = " "
f = csv.writer(open('C:/'+datetime.today().strftime('%Y-%m-%d') + '-' + comtype + '-' + 'yelldata.csv', 'w'))
f.writerow(['Business Name', 'Business Type', 'Phone Number', 'Street Address', 'Locality', 'Region', 'Website'])

headers = {
        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36',
    }

data_list = []
for x in postkeys:
    print(" Searching " + x + " for " + comtype + " companies")
    for y in postkeynum:
        url = 'https://www.yell.com/ucs/UcsSearchAction.do?keywords=' + comtype + '&pageNum=' + str(y) + '&location=' + x
        data_list.append(url)

    # Now that you created a list of the urls, now you can loop through them


    for item in data_list:

        page = item.split('pageNum=')[-1].split('&')[0]
        location = item[-5:]

        site = requests.get(item, headers=headers)
        soup = BeautifulSoup(site.content, 'html.parser')
        questions = soup.select('.businessCapsule--mainContent')
        for question in questions:
            listinnum += 1
            busname = question.find(class_='businessCapsule--name').get_text()
            bustype =   question.find(class_='businessCapsule--classification').get_text()
            busnumber = question.select_one('span.business--telephoneNumber')
            if busnumber is None:
                busnumber = 'None'
            else:
                busnumber = busnumber.text
            busadd = question.find('span', attrs={"itemprop": "streetAddress"})
            if busadd is None:
                busadd = 'None'
            else:
                busadd = busadd.text.replace(',',' ')
            buslocal = question.find('span', attrs={"itemprop": "addressLocality"})
            if buslocal is None:
                buslocal = 'None'
            else:
                buslocal = buslocal.text
            buspost = question.find('span', attrs={"itemprop": "postalCode"})
            if buspost is None:
                buspost = 'None'
            else:
                buspost = buspost.text
            busweb = question.find('a', attrs={"rel": "nofollow noopener"})
            if busweb is None:
                busweb = 'None'
            else:
                busweb = busweb.attrs['href']
            print(busweb)
            f.writerow([busname, bustype, busnumber, busadd, buslocal, buspost, busweb])


        pagesnum += 1
        print(" Finished Page " + page + ". For " + location + " . " + str(listinnum) + " listings so far. Moving To Next Page")


    if item != data_list[-1]:
        print(" Waiting 30 seconds for security reasons.")
        sleep(30)
print(" Finished. \n Total: " + str(pagesnum) + " pages with " + str(listinnum) + " listings. \n Please look for file: " + datetime.today().strftime('%Y-%m-%d') + '-' + comtype + '-' + 'yelldata.csv')

我看到了日志，但是filebeat.log是空的。

如果我尝试：

$ docker logs filebeat > filebeat.log

我没有看到要管理的日志，但是文件中充满了日志行。

使用的操作系统是：$ docker logs logstash > logstash.log

Answer 1

>重定向STDOUT，但是您也可以从容器获得STDERR输出。要重定向，可以使用：

 docker logs filebeat > filebeat.log 2> filebeat.err

或将两者发送到同一文件：

 docker logs filebeat > filebeat.log 2>&1

Answer 2

您应该使用-t标志运行容器，该标志将为容器分配一个伪tty。示例：

docker run -td --rm --name test store/elastic/filebeat:7.1.1

docker logs test > test.txt

这会将输出存储到文件中。在没有-t标志的情况下运行时，它只会将日志转储到终端

docker log filebeat> file.log不起作用

2 个答案: