tinyCrawl | tiny crawling framework , support multithread processing | Application Framework library
kandi X-RAY | tinyCrawl Summary
kandi X-RAY | tinyCrawl Summary
Very easy and tiny crawling framework, support multithread processing.
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Top functions reviewed by kandi - BETA
- Run the crawler
- Start the source
- Check the checkpoint
- Calls crawl
- Wrap a multi - thread wrapper
- The sink sink
- Set the log path
- Set a key value pair
- Walks the module recursively
- Set key to value
- Reloads all modules
- Sets the logging parameter
tinyCrawl Key Features
tinyCrawl Examples and Code Snippets
from tinyCrawl import BaseCrawl, RowContainer
from urllib.request import urlopen
from lxml import etree
import pandas as pd
# 需继承BaseCrawl类,覆写crawl和sink方法
class Scratch(BaseCrawl):
def __init__(self, iter_url, iter_num_range, thread_num):
# -*- coding: utf-8 -*-
from tinyCrawl import BaseCrawl, RowContainer
from urllib.request import urlopen
from lxml import etree
# 定义xpath
song_name_xpath = '//div[@class="song-name"]/a/text()'
singer_xpath = '//div[@class="singers"]/a[1]/text()'
a
Community Discussions
Trending Discussions on Application Framework
QUESTION
I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below
https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html
This is the sample config.xml file
...ANSWER
Answered 2020-Mar-06 at 09:48I figured out why we need this
required-api: param name="#target"
OPTIONAL(not compulsory)
It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tinyCrawl
You can use tinyCrawl like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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