Python parser generator

README - pyLRp python LR(1) parser generatorAuthor: Sebastian Riese The sample files show how to use the parser generator. But are out ofdate at the moment. More documentation will follow. The parsergenerator is written in python3, but it can generate both python2 andpython3 parsers.The generated parsers are standalone modules.usage: pyLRp.py [-h] [-o OFILE] [-l] [-L] [-g] [--print-lextable] [-D] [-d] [-f] [-q] [-T] [-3 | -2] infileA pure python LALR(1)/LR(1) parser generator and lexer generator.positional arguments: infile The parser specification to processoptional arguments: -h, --help show this help message and exit -o OFILE, --output-file OFILE Set the output file to OFILE [default: derived from infile] -l, --line-tracking Enable line tracking in the generated parser -L, --lalr Generate a LALR(1) parser instead of a LR(1) parser -g, --print-graph Print the LR state graph to stdout --print-lextable Print the lextables to stdout -D, --not-deduplicate Compress tables by reusing identical lines -d, --debug Write debug information to the generated file -f, --fast Fast run: generates larger and possibly slower parsers, but takes less time -q, --quiet Print less info -T, --trace Generate a parser that prints out a trace of its state -3, --python3 Generate python3 compatible parser [default] -2, --python2 Generate python2 compatible parserContributors------------Jonas Wielicki (Python 3 support, testing)Testing-------To run the TestSuite run[pyLR1]$ python3 -m unittest discover -s test -vLicense-------Copyright 2009, 2010, 2012 Sebastian RiesePermission is hereby granted, free of charge, to any person obtaining a copyof this software and associated documentation files (the "Software"), to dealin the Software without restriction, including without limitation the rightsto use, copy, modify, merge, publish, distribute, sublicense, and/or sellcopies of the Software, and to permit persons to whom the Software isfurnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included inall copies or substantial portions of the Software.THE

Skip to content Navigation Menu Sign in GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore All features Documentation GitHub Skills Blog By company size Enterprises Small and medium teams Startups Nonprofits By use case DevSecOps DevOps CI/CD View all use cases By industry Healthcare Financial services Manufacturing Government View all industries View all solutions Topics AI DevOps Security Software Development View all Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Repositories Topics Trending Collections Enterprise platform AI-powered developer platform Available add-ons Advanced Security Enterprise-grade security features Copilot for business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Provide feedback --> We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Saved searches Use saved searches to filter your results more quickly Sign in Sign up Explore Topics Trending Collections Events GitHub Sponsors # user-agent-generator Star Here are 3 public repositories matching this topic... Language: All Filter by language All 3 Common Lisp 1 Python 1 Rust 1 iamdual / ua-generator Star 95 Code Issues Pull requests 💻 A random user-agent generator. user-agent generator client-hints random-user-agent fake-user-agent user-agent-generator Updated Mar 8, 2025 Python Aero25x / random-user-agents Star 31 Code Issues Pull requests Randomize your user agents in your script to make yourself less noticeable rust user-agent useragent useragent-parser python-users random-user useragents random-user-agent random-useragents user-agent-generator ua-generator python-user-agent useragent-changer useragent-generator rust-user-agent python-useragent rust-random-user-agent js-useragent ts-useragent hiddencode Updated Jan 6, 2025 Rust Junker / random-ua Star 3 Code Issues Pull requests Random User-Agent generator for Common Lisp user-agent common-lisp random-user-agent user-agent-generator ua-generator Updated Feb 18, 2024 Common Lisp Improve this page Add a description, image, and links to the user-agent-generator topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository with the user-agent-generator topic, visit your repo's landing page and select "manage topics." Learn more

IN= OUT=em1 SRC=192.168.1.23 DST=192.168.1.20 LEN=84 TOS=0x00 PREC=0x00 TTL=64 ID=0 DF PROTO=ICMP TYPE=8 CODE=0 ID=59228 SEQ=2Aug 4 13:23:00 centos kernel: IPTables-Dropped: IN=em1 OUT= MAC=a2:be:d2:ab:11:af:e2:f2:00:00 SRC=192.168.2.115 DST=192.168.1.23 LEN=52 TOS=0x00 PREC=0x00 TTL=127 ID=9434 DF PROTO=TCP SPT=58428 DPT=443 WINDOW=8192 RES=0x00 SYN URGP=0Further parsersThere are several other parsers in syslog-ng. The XML parser can parse XML formatted log messages, typically used by Windows applications. There is a dedicated parser for Linux Audit logs. There are many non-standard date formats. The date parser can help in this case, which can be configured using templates. It saves the date to the sender date.SCL: syslog-ng configuration libraryAs mentioned earlier, the syslog-ng configuration library has many parsers. These are implemented in configuration, combining several of the existing parsers.The Apache parser can parse Apache access logs. It builds on the CSV parser, but also combines it with the date parser and rewrites part of the results to be more human readable.The sudo parser can extract information from sudo log messages, so it is easy to alert on log messages if something nasty happens.Log messages from Cisco devices are similar to syslog messages, however, quite often they cannot be parsed by syslog parsers, as they do not comply with specifications. The Cisco parser of syslog-ng can parse many kinds of Cisco log messages. Of course, not all Cisco log messages, only those for which we received log samples.Python parserThe Python parser was first released in syslog-ng 3.10. It can parse complex data formats, where simply combining various built-in parsers is not enough. It can also be used to enrich log messages from external data sources, like SQL, DNS or whois.The main drawback of the Python parser is speed and resource usage. C is a lot more efficient. However, for the vast majority of users, this is not a bottleneck. Python also has the advantage that it does not need compilation or a dedicated development environment. For these reasons, the Python scripts are also easier to spread among users than native C.Application adapters, Enterprise wide message modelAs mentioned earlier, the syslog-ng configuration library contains a number of parsers. These are also called Application Adapters. There is a growing list of parsers. Using these you can easily parse log messages automatically, without any additional configuration. This is possible, because Application Adapters are enabled for the system() source since syslog-ng version 3.13.The Enterprise wide message model (EWMM) allows forwarding name-value pairs between syslog-ng instances. It is made possible by using JSON formatting. It can also forward the original raw message. It is important, as by default, syslog-ng does not send the original message, but what it can reconstruct form it using templates. The original, often broken, formatting is lost. However, some log analytics software expects to receive the broken message format instead of the standards compliant one.ExampleYou might have seen this example configuration a few times before if you followed my tutorial series. This is a good example for Application Adapters. You do not see any parser declarations in the configuration, but you can

TinyPGThe unofficial fork of the Tiny Parser Generator by Herre Kuijpers.It is an LL(1) recursive descent parser generator written in C# which can generate a scanner, parser, and parsetree file in either C# or VB code.The original code and documentation can be found in the article 'A Tiny Parser Generator v1.2' on CodeProject.The source code is licensed under the Code Project Open License (CPOL).Features & FixesThese are the new features and fixes we have added to the original code:Support for [IgnoreCase] flag on terminal symbols.Syntax highlighting now supports var keyword.ParseError now has correct line numbers.Regex tool now updates live without flicker.The IDE will now display the error line number in the output.Production rules without a code block will by default evaluate their sub-rules.New [FileAndLine] flag for redefining the file and line number reported in errors.IDE now uses C# 3.x compiler when testing the generated parser code.Command line building of parsers.IDE expression evaluator now include line and column numbers in errors.Unexpected token errors now display the offending character.We now always show the list of expected tokens on errors.DownloadsThe latest source code can be found in zip form here.The latest binaries can be found in the build artifacts.

To extract. In this example, we’re telling it to find the first occurrence of a tag with a class attribute of “content.”content_div = soup.find(“div”, class_=”content”)We used “class_” instead of “class” because Python recognizes “class” as a reserved keyword.You can use the “text” attribute to extract data as text using the following command:content_text = content_div.textOr you can extract a value associated with the attribute of a tag using the get() method, as follows:link = soup.find(“a”)href = link.get(“href”)This example uses the find() method to locate the first tag and then uses the get() method to extract the value of the “href” attribute.Troubleshooting an HTML Parser in PythonAs with all coding, working with HTML parsers can be fiddly, so you may need to do some troubleshooting. Here are some suggestions on how to fix an HTML parser in Python or Jupyter:Check your code for syntax errors.Make sure you imported the parser correctly.Update Python or Jupyter to ensure you’re using the latest version.Try a different parser.Check the HMTL source code for errors.Web Scraping ChallengesIt’s fairly simple to use PyQuery and BeautifulSoup for web scraping. However, the scale required to collect the massive amounts of data today’s modern businesses need can be challenging. Once you’ve built a parser, you need to manage proxies, CAPTCHAs, and browser scaling. Dealing with the anti-bot measures of sites you’re scraping is a never-ending headache. Even experienced developers would rather focus on their primary business operations than micromanaging web scrapers.With Scraping Robot, you can plug and play our API to