ChatNoir Resiliparse 0.14.9 Documentation
ChatNoir Resiliparse is a collection of robust and fast processing tools for parsing and analyzing (not only) web archive data. Resiliparse is part of the ChatNoir web analytics toolkit.
Table of Contents
This is the full table of contents for this documentation:
Indices and Tables
Resiliparse Module Summary
As of version 0.14.9, the Resiliparse collection encompasses the following two modules:
1. Resiliparse
The Resiliparse main module comes with the following subcomponents:
Parsing Utilities
The Resiliparse Parsing Utilities are the largest submodule and provide an extensive (and growing) collection of efficient tools for dealing with encodings and raw protocol payloads, parsing HTML web pages, and preparing them for further processing by extracting structural or semantic information.
Main documentation: Resiliparse Parsing Utilities.
Process Guard
The Resiliparse Process Guard module is a set of decorators and context managers for guarding a processing context to stay within pre-defined limits for execution time and memory usage. Process Guards help to ensure the (partially) successful completion of batch processing jobs in which individual tasks may time out or use abnormal amounts of memory, but in which the success of the whole job is not threatened by (a few) individual failures. A guarded processing context will be interrupted upon exceeding its resource limits so that the task can be skipped or rescheduled.
Main documentation: Resiliparse Process Guards.
Itertools
Resiliparse Itertools are a collection of convenient and robust helper functions for iterating over data from unreliable sources using other tools from the Resiliparse toolkit.
Main documentation: Resiliparse Itertools.
2. FastWARC
FastWARC is a high-performance WARC parsing library for Python written in C++/Cython. The API is inspired in large parts by WARCIO, but does not aim at being a drop-in replacement. FastWARC supports compressed and uncompressed WARC/1.0 and WARC/1.1 streams. Supported compression algorithms are GZip and LZ4.
FastWARC provides both a Python API and a command line interface (CLI).
Main documentation: FastWARC and FastWARC CLI
About ChatNoir
ChatNoir is a web search engine developed developed by the Webis Group based on the ClueWeb09, ClueWeb12, and Common Crawl datasets with the goal to make large-scale web retrieval research accessible to the wider research community.
Cite Us
If you use ChatNoir or any of its tools for a publication, you can make us happy by citing our ECIR demo paper:
@InProceedings{bevendorff:2018,
address = {Berlin Heidelberg New York},
author = {Janek Bevendorff and Benno Stein and Matthias Hagen and Martin Potthast},
booktitle = {Advances in Information Retrieval. 40th European Conference on IR Research (ECIR 2018)},
editor = {Leif Azzopardi and Allan Hanbury and Gabriella Pasi and Benjamin Piwowarski},
ids = {potthast:2018c,stein:2018c},
month = mar,
publisher = {Springer},
series = {Lecture Notes in Computer Science},
site = {Grenoble, France},
title = {{Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl}},
year = 2018
}
If you use FastWARC, you can also cite our OSSYM 2021 abstract paper:
@InProceedings{bevendorff:2021c,
author = {Janek Bevendorff and Martin Potthast and Benno Stein},
booktitle = {3rd International Symposium on Open Search Technology (OSSYM 2021)},
editor = {Andreas Wagner and Christian Guetl and Michael Granitzer and Stefan Voigt},
month = oct,
publisher = {International Open Search Symposium},
site = {CERN, Geneva, Switzerland},
title = {{FastWARC: Optimizing Large-Scale Web Archive Analytics}},
year = 2021
}