API
++ | + |
Short
+ */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/_static/copybutton.js b/_static/copybutton.js new file mode 100644 index 00000000..2ea7ff3e --- /dev/null +++ b/_static/copybutton.js @@ -0,0 +1,248 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copier dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = `` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = `` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for a moment, then changes it back +// We want the timeout of our `success` class to be a bit shorter than the +// tooltip and icon change, so that we can hide the icon before changing back. +var timeoutIcon = 2000; +var timeoutSuccessClass = 1500; + +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + // Remove success a little bit sooner than we change the tooltip + // So that we can use CSS to hide the copybutton first + setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) + setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const COPYBUTTON_SELECTOR = 'div.highlight pre'; + const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + + // get filtered text + let exclude = '.linenos'; + + let text = filterText(target, exclude); + return formatCopyText(text, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js new file mode 100644 index 00000000..dbe1aaad --- /dev/null +++ b/_static/copybutton_funcs.js @@ -0,0 +1,73 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +export function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} diff --git a/_static/css/badge_only.css b/_static/css/badge_only.css new file mode 100644 index 00000000..c718cee4 --- /dev/null +++ b/_static/css/badge_only.css @@ -0,0 +1 @@ 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b/_static/doctools.js @@ -0,0 +1,156 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Base JavaScript utilities for all Sphinx HTML documentation. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ + "TEXTAREA", + "INPUT", + "SELECT", + "BUTTON", +]); + +const _ready = (callback) => { + if (document.readyState !== "loading") { + callback(); + } else { + document.addEventListener("DOMContentLoaded", callback); + } +}; + +/** + * Small JavaScript module for the documentation. + */ +const Documentation = { + init: () => { + Documentation.initDomainIndexTable(); + Documentation.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS: {}, + PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), + LOCALE: "unknown", + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext: (string) => { + const translated = Documentation.TRANSLATIONS[string]; + switch (typeof translated) { + case "undefined": + return string; // no translation + case "string": + return translated; // translation exists + default: + return translated[0]; // (singular, plural) translation tuple exists + } + }, + + ngettext: (singular, plural, n) => { + const translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated !== "undefined") + return translated[Documentation.PLURAL_EXPR(n)]; + return n === 1 ? singular : plural; + }, + + addTranslations: (catalog) => { + Object.assign(Documentation.TRANSLATIONS, catalog.messages); + Documentation.PLURAL_EXPR = new Function( + "n", + `return (${catalog.plural_expr})` + ); + Documentation.LOCALE = catalog.locale; + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar: () => { + document.querySelectorAll("input[name=q]")[0]?.focus(); + }, + + /** + * Initialise the domain index toggle buttons + */ + initDomainIndexTable: () => { + const toggler = (el) => { + const idNumber = el.id.substr(7); + const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); + if (el.src.substr(-9) === "minus.png") { + el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; + toggledRows.forEach((el) => (el.style.display = "none")); + } else { + el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; + toggledRows.forEach((el) => (el.style.display = "")); + } + }; + + const togglerElements = document.querySelectorAll("img.toggler"); + togglerElements.forEach((el) => + el.addEventListener("click", (event) => toggler(event.currentTarget)) + ); + togglerElements.forEach((el) => (el.style.display = "")); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); + }, + + initOnKeyListeners: () => { + // only install a listener if it is really needed + if ( + !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS + ) + return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.altKey || event.ctrlKey || event.metaKey) return; + + if (!event.shiftKey) { + switch (event.key) { + case "ArrowLeft": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const prevLink = document.querySelector('link[rel="prev"]'); + if (prevLink && prevLink.href) { + window.location.href = prevLink.href; + event.preventDefault(); + } + break; + case "ArrowRight": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const nextLink = document.querySelector('link[rel="next"]'); + if (nextLink && nextLink.href) { + window.location.href = nextLink.href; + event.preventDefault(); + } + break; + } + } + + // some keyboard layouts may need Shift to get / + switch (event.key) { + case "/": + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; + Documentation.focusSearchBar(); + event.preventDefault(); + } + }); + }, +}; + +// quick alias for translations +const _ = Documentation.gettext; + +_ready(Documentation.init); diff --git a/_static/documentation_options.js b/_static/documentation_options.js new file mode 100644 index 00000000..89435bb4 --- /dev/null +++ b/_static/documentation_options.js @@ -0,0 +1,13 @@ +const DOCUMENTATION_OPTIONS = { + VERSION: '1.0.0', + LANGUAGE: 'en', + COLLAPSE_INDEX: false, + BUILDER: 'html', + FILE_SUFFIX: '.html', + LINK_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false, + SHOW_SEARCH_SUMMARY: true, + ENABLE_SEARCH_SHORTCUTS: true, +}; \ No newline at end of file diff --git a/_static/file.png b/_static/file.png new file mode 100644 index 00000000..a858a410 Binary files /dev/null and b/_static/file.png differ diff --git a/_static/jquery.js b/_static/jquery.js new file mode 100644 index 00000000..c4c6022f --- /dev/null +++ b/_static/jquery.js @@ -0,0 +1,2 @@ +/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */ +!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0' + + '' + + _("Hide Search Matches") + + "
" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/api.html b/api.html new file mode 100644 index 00000000..80e95bd7 --- /dev/null +++ b/api.html @@ -0,0 +1,128 @@ + + + + + + +The command line interface is a simple wrapper around the library.
+It provides the two main functionalities:
+download - Downloads samples of either Domain Record or HTML from common crawl indexes
extract - Downloads an HTML from Domain Record and extracts the content. It can also directly take the HTML and extract the data.
Both functionalities are invoked using cmon
followed by the functionality and the required arguments.
+The cmon
command also takes a few optional arguments:
Verbosity level. Choices are [0, 1, 2], with 0 being the least verbose and 2 being the most verbose. Default is 1.
+AWS profile to use for AWS calls (Athena, S3). If not provided, the default AWS profile will be used.
+# Download first 1000 domain records for example.com
+cmon download --match_type=domain --limit=1000 dr_output record example.com
+
+# Download first 100 htmls for example.com
+cmon download --match_type=domain --limit=100 html_output html example.com
+
+# Take the domain records downloaded using the first command and extracts them using your extractors
+cmon extract config.json extracted_output dr_output/*.jsonl record
+
+# Take the htmls downloaded using the second command and extracts them using your extractors
+cmon extract config.json extracted_output html_output/*.html html
+
The download mode of the cmon
command line tool serves to query and download from CommonCrawl indexes.
+The following arguments are needed in this order:
output - Path to output directory.
{record,html} - Download mode:
+record: Download record files from Common Crawl.
html: Download HTML files from Common Crawl.
urls - URLs to download, e.g. www.bcc.cz.
In html mode, the output directory will contain .html files, one
+for each found URL. In record mode, the output directory will contain
+.jsonl
files, each containing multiple domain records in JSON format.
Max number of URLs to download.
+Start date in ISO format (e.g., 2020-01-01).
+End date in ISO format (e.g., 2020-01-01).
+Common Crawl indexes to query. Must provide the whole URL (e.g., https://index.commoncrawl.org/CC-MAIN-2023-14-index).
+Max number of retries for a request. Increase this number when requests are failing.
+Base sleep time for exponential backoff in case of request failure.
+Max number of requests per second.
+One of exact, prefix, host, domain
+Match type for the URL. Refer to cdx-api for more information.
+See cmoncrawl.common.types.MatchType
for more information.
Max number of files per directory.
+Filter out non-200 status code.
+Aggregator to use for the query.
+athena: Athena aggregator. Fastest, but requires AWS credentials with correct permissions. See Athena for more information.
gateway: Gateway aggregator (default). Very slow, but no need for AWS config.
S3 bucket to use for Athena aggregator. Only needed if using Athena aggregator.
+If set the bucket will not be deleted after the query is done, allowing to reuse it for future queries.
If not set, a temporary bucket will be created and deleted after the query is done.
Note
+If you specify an S3 bucket, remember to delete it manually after you’re done to avoid incurring unnecessary costs.
+Max number of domain records per file output
+Force usage of specified encoding if possible.
+Method for downloading warc files from Common Crawl, it only applies to HTML download.
+api: Download from Common Crawl API Gateway. This is the default option.
s3: Download from Common Crawl S3 bucket. This is the fastest option, but requires AWS credentials with correct permissions.
# Download first 1000 domain records for example.com
+cmon download dr_output record --match_type=domain --limit=1000 example.com
+
+# Download first 100 htmls for example.com
+cmon download html_output html --match_type=domain --limit=100 example.com
+
The extract mode of the cmon
command line tool serves to extract data from your downloaded files.
+The following arguments are needed in this order:
config_path - Path to the config file containing extraction rules.
output_path - Path to the output directory.
{record,html} - Extraction mode:
+record: Extract data from jsonl (domain record) files.
html: Extract data from HTML files.
files - Files to extract data from (Either HTML files or .jsonl files).
To create a config file, see Extractor config file.
+Both modes yield the same output format, which is a .jsonl
file containing the extracted data,
+one per line. For each file, a new directory is created in the output directory, named after the
+file.
The files created by the download mode can be directly used with the appropriate mode +in the extraction.
+If you have an HTML file, you can use the HTML mode to extract it.
If you have a domain records, you can use the RECORD mode to extract it.
If you have domain records, which you acquired without using cmoncrawl,
please refer to Domain Record JSONL format, which describes how to create .jsonl
files from your domain records,
+which you can then use with the record mode.
Max number of extractions per file output.
+Max number of extraction files per directory.
+Number of processes to use for extraction. The parallelization is on file level, +thus for a single file, it’s useless to use more than one process.
+Max number of WARC download attempts.
+Method for downloading warc files from Common Crawl, it only applies to HTML download.
+api: Download from Common Crawl API Gateway. This is the default option.
s3: Download from Common Crawl S3 bucket. This is the fastest option, but requires AWS credentials with correct permissions.
Base value for exponential backoff between failed requests.
+Max number of requests per second.
+Date of extraction of HTML files in ISO format (e.g., 2021-01-01). The default is today.
+URL from which the HTML files were downloaded. By default, it will try to infer from the file content.
+# Take the domain records downloaded using the first command and extracts them using your extractors
+cmon extract config.json extracted_output dr_output/*.jsonl record --max_retry 100 --download_method=gateway --sleep_base 1.3
+
+# Take the htmls downloaded using the second command and extracts them using your extractors
+cmon extract config.json extracted_output html_output/*.html html --date 2021-01-01 --url https://www.example.com
+
When you are going to build the extractors, you will appreciate that you can specify +what the URL of the HTML file is and what the date of the extraction is. This is because +those information are used during the extractor routing.
+In many cases you will want to use more than single extractor. +Imagine if you crawl two news websites which have completely different structure +and you want to extract the article. You can achieve this by using the Extractor config file.
+The extractor config file, defines what extractor should be used for a given HTML file. +You can leverage datetime of the crawl and url to specify which extractor should be used.
+The structure is following:
+{
+
+ "extractors_path": "Path to the extractors folder",
+ "routes": [
+ {
+ "regexes": [".*"],
+ "extractors": [{
+ "name": "my_extractor",
+ "since": "iso date string",
+ "to": "iso date string"
+ },
+ {
+ "name": "my_extractor2",
+ }
+ ]
+ },
+ {
+ "regexes": ["another_regex"],
+ "....": "...."
+ }
+ ]
+}
+
The extractors_path
is the path to the folder where the extractors are located.
Note
+The extractors_path is relative to the current working directory.
+The routes
defined a list of possible extractors and conditions we can route to. Each route is a dictionary with the following keys:
regexes
: a list of regexes. At least one regex must match the url, for this route to be used.
extractors
: a list of extractors that will be used to extract the data from the url. The first extractor for which since
< record_date < to
is used.
Each extractor has the following keys:
+name
: the name of the extractor. This is the name of the python file without the .py extension, you can also set NAME variable in the extractor file to override this.
since
[optional] : The starting crawl date for which the extractor is valid (e.g. 2009-01-01)
to
[optional] : The ending crawl date for which the extractor is valid. Format is the same as for since
.
Note
+If since
and to
are not specified, the extractor will match for all crawls for that route.
Given the following folder structure:
+extractors/
+├── a_extractor.py
+├── a_extractor2.py
+└── b_extractor.py
+
and the following config:
+{
+
+ "extractors_path": "./extractors",
+ "routes": [
+ {
+ "regexes": [".*cmon.cz.*"],
+ "extractors": [{
+ "name": "a_extractor",
+ "to": "2010-01-01"
+ },
+ {
+ "name": "a_extractor2",
+ "since": "2010-01-01"
+ }
+ ]
+ },
+ {
+ "regexes": [".*cmon2.cz.*"],
+ "extractors": [{
+ "name": "b_extractor",
+ }
+ ]
+ }
+ ]
+}
+
The following will happen:
+A domain record with url http://www.cmon.cz, cralwed on 2012 will be extracted using the a_extractor2.py extractor.
A domain record with url http://www.cmon.cz, cralwed on 2009 will be extracted using the a_extractor.py extractor.
A domain record with url http://www.cmon2.cz, cralwed on 2012 will be extracted using the b_extractor.py extractor.
You might want to put the common code of the extractors into +a common python file. The problem is that during the execution, +the extractors directory is not in the python path. To add the extractors +directory we also load __init__.py` file (But don’t add load extractors in it).
+Thus you can create __init__.py file in the extractors directory with the following content:
+import sys
+from pathlib import Path
+sys.path.append(Path(__file__).parent)
+
which will add the extractors directory to the python path.
+Warning
+Since the router, loads and executes all files in the extractors +directory, every .py file in this directory is executed. Thus +you should not put any untrusted files in this directory.
+All the extractors you will write must implement the cmoncrawl.processor.pipeline.extractor.IExtractor
class.
+If you choose to implement it directly, you will have to implement the extract
method.
+In the method you are provided with the HTML page as a string and crawl Medatata. You then define what data you want to extract from HTML as dictionary or None if you want
+to discard the HTML.
While the interface is simple it doesn’t handle encoding problems or filtering.
+If you want to parse the HTML using bs4
and then extract the data you can use either:
cmoncrawl.processor.pipeline.extractor.BaseExtractor
, which parses the HTML using bs4
and resolves encoding issues
cmoncrawl.processor.pipeline.extractor.PageExtractor
, in which you just define CSS selectors to use and function which transform the data from selectors
In order to register you extractor, you must define each extractor in +separate file and you must initialize the extractor in that file to variable +named extractor.
+# You can either use the NAME variable to define name,
+# otherwise the name will be inherited from the file name
+NAME='title_extractor'
+
+from cmoncrawl.processor.pipeline.extractor import IExtractor
+from cmoncrawl.common.types import PipeMetadata
+
+class MyExtractor(IExtractor):
+ def extract(self, response: str, metadata: PipeMetadata) -> Dict[str, Any] | None:
+ return {"title": "My title"}
+
+extractor = MyExtractor()
+
The BaseExtractor` assumes you will want to use parsed HTML using +BeautifulSoup +Thus the only method you need to implement is the extract_soup method.
+extract_soup method
It takes a BeautifulSoup object and crawl metadata (see cmoncrawl.common.types.PipeMetadata
) and must return
+a dictionary of extracted data or None if the page should not be extacted, for example if you haven’t found all the data you need.
Additionaly, you might want to filter the pages you don’t want to +extract. For this, you have two options:
+filter_raw method
This method take the raw HTML and crawl metadata and must return True if the page should be extracted or False otherwise. If you can +decide based on raw HTML, this is the most efficient way to filter pages, as now soup parsing will be done.
+filter_soup method
This method take the BeautifulSoup object and crawl metadata and must return True if the page should be extracted or False otherwise.
+Finally your file must create the said extractor and name it extractor.
+Here is an example of an extractor that will extract the title of the page.
+from cmoncrawl.processor.pipeline.extractor import BaseExtractor
+from cmoncrawl.common.types import PipeMetadata
+
+class TitleExtractor(BaseExtractor):
+ def extract_soup(self, soup: BeautifulSoup, metadata: PipeMetadata) -> dict:
+ return {'title': soup.title.text}
+
+ def filter_soup(self, soup: BeautifulSoup, metadata: PipeMetadata) -> bool:
+ return soup.title is not None
+
+extractor = TitleExtractor()
+NAME='title'
+
Now in Extractor config file you would refer to this extractor as title_extractor. +If you would’t set the NAME variable, you would refer to it as ext.
+In order to save space, you might want to extract the information from the +HTMLs directly, without saving the HTMLs themselves. The library does allow +you to do that. In this section, we will show you how you can define your +own extractors.
+The utilies for extraction are defined cmoncrawl.processor.extraction
.
+It provides helper function for both filtering and extraction.
must_exist_filter`: filter out the ulrs that don’t contain css selector
must_not_exist_filter: filter out the ulrs that contain css selector
– check_required: Creates a function that checks if all the required fileds are present in the extracted data
+– chain_transform: Creates a function that chains multiple transformation function, if any return None, the chain is broken and None is returned. Especially usefull with soup select etc…
+– extract_transform: Creates a function that extracts the data from the soup tag using the css selector and transforms it using your transformation functions.
+Classes
+This class is responsible for aggregating the index files from commoncrawl using AWS Athena. +It is an async context manager which can then be used as an async iterator +which yields DomainRecord objects, found in the index files of commoncrawl.
+It uses the AWS Athena to query from s3 the index files of commoncrawl.
+urls (List[str]) – A list of urls to search for.
cc_indexes_server (str, optional) – The commoncrawl index server to use. Defaults to “http://index.commoncrawl.org/collinfo.json”.
match_type (MatchType, optional) – Match type for cdx-api. Defaults to MatchType.EXACT.
cc_servers (List[str], optional) – A list of commoncrawl servers to use. If None, then indexes will be retrieved from the cc_indexes_server. Defaults to None.
since (datetime, optional) – The start date for the search. Defaults to datetime.min.
to (datetime, optional) – The end date for the search. Defaults to datetime.max.
limit (int, optional) – The maximum number of results to return. Defaults to None.
prefetch_size (int, optional) – The number of indexes to fetch concurrently. Defaults to 3.
max_retry (int, optional) – The maximum number of retries for a single request. Defaults to 5.
extra_sql_where_clause (str, optional) – Additional SQL WHERE clause to append to the Athena query. Defaults to None.
batch_size (int) – How many crawls to query at once. Defaults to 1. If <= 0, all crawls will be queried at once.
aws_profile (str, optional) – The AWS profile to use for Athena and S3. Defaults to “default”.
bucket_name (str, optional) – The S3 bucket to use for Athena query results. If None, a new bucket will be created. Defaults to None.
catalog_name (str, optional) – The Athena catalog to use. Defaults to “AwsDataCatalog”.
database_name (str, optional) – The Athena database to use. Defaults to “commoncrawl”.
table_name (str, optional) – The Athena table to use. Defaults to “ccindex”.
Examples
+>>> async with AthenaAggregator(["example.com"]) as aggregator:
+>>> async for domain_record in aggregator:
+>>> print(domain_record)
+
Classes
+
|
+Base interface for aggregators |
+
Classes
+This class is responsible for aggregating the index files from commoncrawl. +It is an async context manager which can then be used as an async iterator +which yields DomainRecord objects, found in the index files of commoncrawl.
+It uses the commoncrawl index server to find the index files.
+urls (List[str]) – A list of urls to search for.
cc_indexes_server (str, optional) – The commoncrawl index server to use. Defaults to “http://index.commoncrawl.org/collinfo.json”.
match_type (MatchType, optional) – Match type for cdx-api. Defaults to None.
cc_servers (List[str], optional) – A list of commoncrawl servers to use. If None, then indexes will be retrieved from the cc_indexes_server. Defaults to None.
since (datetime, optional) – The start date for the search. Defaults to datetime.min.
to (datetime, optional) – The end date for the search. Defaults to datetime.max.
limit (int, optional) – The maximum number of results to return. Defaults to None.
max_retry (int, optional) – The maximum number of retries for a single request. Defaults to 5.
prefetch_size (int, optional) – The number of indexes to fetch concurrently. Defaults to 3.
sleep_base – float: The base for the exponential backoff time calculation between retries. Defaults to 1.5.
max_requests_per_second (int, optional) – The maximum number of requests per second. Defaults to 20.
Examples
+>>> async with GatewayAggregator(["example.com"]) as aggregator:
+>>> async for domain_record in aggregator:
+>>> print(domain_record)
+
Modules
++ | + |
+ | + |
+ | + |
+ | + |
Functions
+
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
Functions
+
|
+Get all CC index servers from a given CDX server |
+
|
++ |
|
++ |
|
++ |
Exceptions
+
|
++ |
Modules
++ | + |
+ | + |
+ | + |
Classes
+
|
++ |
Modules
++ | + |
+ | + |
+ | + |
Functions
+
|
++ |
Classes
+
|
+Throttler class for restricting the number of function calls per second. |
+
Functions
+
|
++ |
Classes
+Domain crawl.
+Domain record.
+Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
+Metadata about the fields defined on the model, +mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
+This replaces Model.__fields__ from Pydantic V1.
+Configuration for run.
+Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
+Metadata about the fields defined on the model, +mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
+This replaces Model.__fields__ from Pydantic V1.
+Configuration for extractor.
+Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
+Metadata about the fields defined on the model, +mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
+This replaces Model.__fields__ from Pydantic V1.
+Match type for cdx server. +See https://github.com/internetarchive/wayback/blob/master/wayback-cdx-server/README.md#url-match-scope
+Example: +Query: example.com/abc
+Matches: +EXACT: (www.)?example.com/abc +PREFIX: (www.)?example.com/abc(/.*)? +HOST: (www.)?example.com(/.*)? +DOMAIN: (.*.)?example.com(/.*)?
+Metadata for a pipe.
+Attributes: +domain_record: DomainRecord
+++An instance of the DomainRecord class representing associated domain record, +eg. pointer to the WARC file.
+
A dictionary storing article data with keys and values of any type. +Those are the data extracted using Extractors.
+A dictionary storing the WARC header metadata.
+A dictionary storing the HTTP header information.
+A string or None representing the type of record.
+A string representing the character encoding used for the record. The default value is “latin-1”.
+A string or None representing the name associated with the record.
+Response from retrieve.
+Configuration for extractors.
+Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
+Metadata about the fields defined on the model, +mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
+This replaces Model.__fields__ from Pydantic V1.
+Functions
+
|
++ |
Classes
+
|
++ |
Modules
++ | + |
+ | + |
+ | + |
+ | + |
+ | + |
+ | + |
Functions
+
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
Functions
+
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
Classes
+
|
+An enumeration. |
+
|
+An enumeration. |
+
Functions
+
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
|
++ |
Classes
+
|
+An enumeration. |
+
Modules
++ | + |
+ | + |
+ | + |
+ | + |
Functions
+
|
++ |
Classes
+
|
+An enumeration. |
+
Modules
++ | + |
+ | + |
Classes
+Aggregator that listens queries the common crawl index and sends the results to a queue +using the stomp protocol. It the creates a queue +with name queue.{url} and sends the results to it. +It also creates a topic with name topic.poisson_pill.{url} +and sends a message with type poisson_pill to it when it finishes.
+queue_host (str) – The host of the queue
queue_port (int) – The port of the queue
url (str) – The url of the queue
index_agg (IndexAggregator) – The index aggregator
heartbeat (int, optional) – The heartbeat of the connection. Defaults to 10000.
Aggregates the results of the index aggregator and sends them to the queue. +If filter_duplicates is True, it will use the DUPL_ID_HEADER header, +which Artemis uses to filter duplicates.
+Processor that listens to a queues and processes the messages using a pipeline. +When it receives a message with type enough poisson_pill messages, it will +stop listening if it doesn’t receive any messages for timeout minutes.
+queue_host (str) – The host of the queue
queue_port (int) – The port of the queue
pills_to_die (int, optional) – The number of poisson_pill messages to receive before dying. Defaults to None.
queue_size (int) – The size of the queue
timeout (int) – The timeout in minutes
addresses (List[str]) – The addresses of the queues
pipeline (ProcessorPipeline) – The pipeline to use for processing
heartbeat (int, optional) – The heartbeat of the connection. Defaults to 10000.
Functions
+
|
+Extracts the records using the pipeline, with at most concurrent_length records being processed at the same time. |
+
|
+Query the index and extracts the results using the pipeline |
+
Classes
+This class represents a DAO (Data Access Object) for interacting with the Common Crawl API Gateway. +It provides methods for opening and closing a connection, fetching data for a given domain record, +and handling errors related to downloading data.
+base_url (str) – The base URL of the Common Crawl API Gateway. Defaults to “https://data.commoncrawl.org/”.
+Asynchronously opens a connection to the API Gateway.
+Asynchronously closes the connection to the API Gateway.
+Asynchronously fetches data for a given domain record.
+>>> dao = CCAPIGatewayDAO()
+>>> async with dao:
+>>> data = await dao.fetch(domain_record)
+
Classes
+ICC_Dao is a base class representing a Data Access Object for interacting with a data source. +It provides methods for fetching data and managing the connection.
+Fetches data for a given domain record.
+Exceptions
+
|
++ |
Modules
++ | + |
+ | + |
+ | + |
Classes
+S3Dao is a class that provides methods to interact with AWS S3 for downloading warc files from the commoncrawl bucket.
+aws_profile (str, optional) – The AWS profile to use for the download. Defaults to None.
bucket_name (str, optional) – The name of the S3 bucket. Defaults to “commoncrawl”.
The name of the S3 bucket.
+str
+The AWS profile to use for the download.
+str
+The S3 client.
+aioboto3.client
+Asynchronous context manager method to initialize the S3 client.
+Asynchronous context manager method to clean up the S3 client.
+Downloads a warc file from the commoncrawl bucket using S3 and returns its bytes.
+ValueError – If the S3Dao client is not initialized.
+Downloads a warc file from commoncrawl bucket using s3 and returns its bytes.
+domain_record (DomainRecord) – The domain record to use for the download.
aws_profile (str) – The AWS profile to use for the download.
The bytes of the downloaded warc file.
+bytes
+Functions
+
|
+This function takes in a BeautifulSoup object and a list of CSS selectors. |
+
|
+This function takes in a BeautifulSoup object and a list of CSS selectors. |
+
Modules
++ | + |
+ | + |
Functions
+
|
+Applies fc to all values in dict and returns a dict with same keys but with transformed values. |
+
|
+Chains transforms together. |
+
|
+Checks if required fields are present in the extracted dict. |
+
|
+Combines list of dictioneries into one. |
+
|
+Extracts data from tag using extract_dict defining what to extract and how to name it, and extract_transform_dict defining how to transform the extracted data. |
+
|
+Returns a function that takes a bs4 tag and returns the value of the attribute attr_name or None if the attribute doesn't exist. |
+
|
+Returns a function that takes a bs4 tag and returns the first tag that matches the tag_desc. |
+
|
+Returns a function that takes a bs4 tag and returns a list of tags that match the tag_desc. |
+
|
+Returns a function that takes a list of bs4 tags and returns a string with all the text from the tags joined with sep. |
+
|
+Returns text from tag. |
+
|
+Transforms dict using transforms dict. |
+
Modules
++ | + |
+ | + |
+ | + |
Functions
+
|
++ |
Classes
+Downloader which asynchronously downloads the the data for the domain_record
+dao (ICC_Dao) – Data access object to use for downloading
digest_verification (bool, optional) – Whether to verify the digest of the downloaded data. Defaults to True.
max_retry (int, optional) – Maximum number of retries. Defaults to 5.
sleep_base (float, optional) – Base sleep time for exponential backoff in retries. Defaults to 1.5.
max_requests_per_second (int, optional) – Maximum number of requests per second. Defaults to 20.
encoding – Default encoding to be used
Local file downloader and metadata extractor for testing +It doesn’t download anything but passes local files further in the pipeline +and extracts metadata from the file
+files (List[Path]) – List of local files to pass
url (str, optional) – Url to use for metadata. Defaults to None.
date (datetime, optional) – Date to add to metadata. Defaults to None.
A dummy downloader class that does not perform any actual downloading. It simply adds an empty string as the content +and passes the domain record further into the pipeline.
+Downloads the content for the given domain record.
+domain_record (DomainRecord | None) – The domain record to download.
+and the pipe metadata as the second element.
+List[Tuple[str, PipeMetadata]]
+Base class for all downloaders
+WarcIterator is local downloader which iterates over the specified warc file
+file (Path) – Path to the warc file
encoding (str, optional) – Encoding to be used. Defaults to “latin-1”.
Classes
+Base class for all soup extractors
+encoding (str, optional) – Default encoding to be used. Defaults to None.
raise_on_encoding (bool, optional) – If True, the extractor will raise ValueException if it fails to decode the response. Defaults to False.
Extracts the data from the response, if the extractor fails to extract the data it should return None
+response (str) – response from the downloader
metadata (PipeMetadata) – Metadata of the response
Dummy Extractor which simply extracts the domain record
+filter_non_ok (bool, optional) – If True, only 200 status codes will be extracted. Defaults to True.
+Dummy Extractor which simply extracts the html
+filter_non_ok (bool, optional) – If True, only 200 status codes will be extracted. Defaults to True.
encoding (str, optional) – Default encoding to be used. Defaults to None. If set, the extractor will raise ValueException if it fails to decode the response.
Base class for all extractors
+Extracts the data from the response, if the extractor fails to extract the data it should return None
+response (str) – response from the downloader
metadata (PipeMetadata) – Metadata of the response
The PageExtractor is designed to extracte specific elements from a web page, +while adding ability to choose when to extract the data.
+header_css_dict (Dict[str, str]) – A dictionary specifying the CSS selectors for the header elements.
header_extract_dict (Dict[str, List[Callable[[Any], Any]] | Callable[[Any], Any]]) – A dictionary +specifying the extraction functions for the header elements. +The keys must match the keys in the header_css_dict. +The functions are applied in the order they are specified in the list.
content_css_selector (str) – The CSS selector specifying where the content elements are located.
content_css_dict (Dict[str, str]) – A dictionary specifying the CSS selectors for the content elements. +Selectors must be relative to the content_css_selector.
content_extract_dict (Dict[str, List[Callable[[Any], Any]] | Callable[[Any], Any]]) – A dictionary +specifying the extraction functions for the content elements. +The keys must match the keys in the content_css_dict. +The functions are applied in the order they are specified in the list.
css_selectors_must_exist (List[str]) – A list of CSS selectors that must exist for the extraction to proceed.
css_selectors_must_not_exist (List[str]) – A list of CSS selectors that must not exist for the extraction to proceed.
allowed_domain_prefixes (List[str] | None) – A list of allowed domain prefixes. If None, all domain prefixes are allowed.
is_valid_extraction (Callable[[Dict[Any, Any], PipeMetadata], bool]) – A function that takes in the extracted data and the metadata and returns True if the extraction is valid, False otherwise.
encoding (str | None) – The encoding to be used. If None, the default encoding is used.
A dictionary containing the extracted data, or None if the extraction failed.
+Dict[Any, Any] | None
+Extracts the data from the response, if the extractor fails to extract the data it should return None
+response (str) – response from the downloader
metadata (PipeMetadata) – Metadata of the response
Modules
++ | + |
+ | + |
+ | + |
+ | + |
+ | + |
Classes
+
|
++ |
Classes
+Base class for all routers
+Routes the url to the correct extractor
+Loads a module and returns its extractor
+Registers a route for a given extractor name and regex
+name (str) – The name of the extractor
regex (Union[str, List[str]]) – The regex to match against
since (datetime | None, optional) – The earliest time to route to this extractor. Defaults to None.
to (datetime | None, optional) – The latest time to route to this extractor. Defaults to None.
Routes the url to the correct extractor based on the url and time
+url (str | None) – The url to route
time (datetime | None) – The time to route
metadata (PipeMetadata) – The metadata for the current pipeline
Classes
+Abstract Class which defines the basic functionality of a file streamer
+Base class for all outstreamers, it streams the data out and returns identifier for the data +if successful, otherwise it returns None
+Memory Streamer which keeps the output is memory
++ | + |
+ | + |
+ | + |
|
+
|
+
+ | + |
+ | + |
+ |
+ | + |
+ |
+ | + |
+ |
+ |
+ | + |
+ | + |
+ | + |
+ |
AWS Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. +Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. +Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. +Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. +This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
+In order to use the athena module, you must have AWS account with following credentials:
+{
+ "Version": "2012-10-17",
+ "Statement": [
+ {
+ "Sid": "CommoncrawlDB",
+ "Effect": "Allow",
+ "Action": [
+ "athena:CreateDataCatalog",
+ "glue:BatchCreatePartition",
+ "athena:StartQueryExecution",
+ "glue:CreateTable",
+ "glue:CreateDatabase",
+ "glue:GetTable",
+ "glue:GetTables",
+ "glue:GetDatabase",
+ "glue:GetDatabases",
+ "glue:UpdateTable",
+ "glue:UpdatePartition",
+ "glue:GetPartition",
+ "glue:GetPartitions",
+ "athena:GetQueryExecution",
+ "athena:ListTableMetadata",
+ "s3:GetBucketLocation",
+ "s3:DescribeJob"
+ ],
+ "Resource": "*"
+ },
+ {
+ "Sid": "ResultsBucket",
+ "Effect": "Allow",
+ "Action": "s3:ListBucket",
+ "Resource": "arn:aws:s3:::cmoncrawl-testbucket"
+ },
+ {
+ "Sid": "ResultsBucket-objects",
+ "Effect": "Allow",
+ "Action": [
+ "s3:PutObject",
+ "s3:GetObject",
+ "s3:DeleteObject"
+ ],
+ "Resource": "arn:aws:s3:::cmoncrawl-testbucket/*"
+ },
+ {
+ "Sid": "CommoncrawlBucket",
+ "Effect": "Allow",
+ "Action": [
+ "s3:GetObject",
+ "s3:ListBucket"
+ ],
+ "Resource": [
+ "arn:aws:s3:::commoncrawl/*",
+ "arn:aws:s3:::commoncrawl"
+ ]
+ }
+ ]
+}
+
If you provide a bucket name when itnializing the cmoncrawl.aggregator.athena_query.AthenaAggregator
,
+the results of the query will be cached in the bucket. Whenever you make the same query the results will be reused.
+This means that the bucket is not automatically cleaned up and it’s your responsibility to do so.
If you don’t provide a bucket name, the results will not be cached and randomly generated bucket will be used and deleted +after the query is finished.
+By domain record we refer to a strucuture that cotains the information +about how to download a crawl of an url. It contains the following
+url: the url to crawl
filename: the warc filename
offset: the offset in the warc file
length: the length of the html crawl
digest [optional]: the digest of the html crawl
encoding [optional]: the encoding of the html crawl
timestamp [optional]: the timestamp of the crawl
In order to use your own domain records with extract mode of cli, +you must format them into follwoing json format
+{
+ "domain_record":
+ {
+ "url": "http://example.com",
+ "filename": "crawl.warc.gz",
+ "offset": 123,
+ "length": 456,
+ "digest": "sha1:1234567890abcdef",
+ "encoding": "utf-8",
+ "timestamp": "2018-01-01T00:00:00Z"
+ },
+ "additional_info":
+ {
+ "key1": "value1",
+ "key2": "value2"
+ }
+}
+
Each such json must be on a separate line in a file.
+You don’t have to provide all the fields, only url
, filename
,
+offset
and length
are required.
+The Athena SQL keys are:
+u.url, cc.warc_filename, cc.warc_record_offset, cc.warc_record_length, cc.content_digest, cc.fetch_time
The additional_info
field is optional and can contain any additional
+information. It will be added to extracted fields as is. It’s usefull
+when you for example want to add to which set the url belongs to.
This section of the documentation is for people who want to use the
+cmoncrawl
library to create their own extraction pipeline in python.
+It allows use to take full advatange of the cmoncrawl
library unlike
+the command line utility which is limited to a few options.
The process of getting one parsed web page from CommonCrawl can be described as a pipeline.
+Query CommmonCrawl to find a link to a file that contains the web page we want.
Download a file
Choose parser for the web page
Filter out the web page if not matching the conditions
Extract fields from the page
Save the fields to a file
The first step is handled by Aggregator while the rest is handled by Processor.
+WARC is a file format that is used for storing multitudes of web resources. +In our case these files contain a bunch of downloaded web pages and their metadata. +It’s possible to get only part of the file by specifying the offset in file and length of the part we want.
+Common Crawl Index
+A CommonCrawl index is a collection which maps crawled urls to WARC file which contain the crawl of that url.
+Every month a CommonCrawl releases a new index which contains all links to web pages that were crawled that month.
+Warning
+It is important to understand that even if the index was released in a certain month, it can contain the links to web pages that might be older.
+Thus in order to download an page we query the index to get link to respective WARC file, offset and length of page. +Since there are multiples of the indexes we should query all of them to make sure we don’t miss the page. +With the link to the WARC and offset and length we can continue to another step.
+All this is handled by cmoncrawl.aggregator.gateway_query.GatewayAggregator
. But for basic use you will not need to use it directly.
The Processor node than downloads the url and related information from queue and downloads the appropriate WARC file.
+This step is handled by cmoncrawl.processor.pipeline.downloader.AsyncDownloader
.
+It simply downloads and extracts the page from the WARC file. For downloading we use two data access objects (DAOs, cmoncrawl.processor.dao.base.ICC_Dao
):
cmoncrawl.processor.dao.s3
, which downloads the file from AWS S3 directly
cmoncrawl.processor.dao.api
, which downloads the file through CommonCrawl API Gateway.
Once the page is downloaded we first need to choose a extractor for it.
+Extractors are dynamically loaded based on definitions in Extractor config file.
+All loaded processors are then matched against the url and crawl date and first matching is used.
+This functionality is handled by cmoncrawl.processor.pipeline.router.Router
.
For development of extractors refer to Extractor types.
+Once the extractor is chosen the filtering function is used to either drop or pass a page.
+In order to filter your you can use either cmoncrawl.processor.pipeline.extractor.BaseExtractor.filter_raw()
for
+filtering based on raw html pages (fast). Or wait for conversion to soup and then filter using
+cmoncrawl.processor.pipeline.extractor.BaseExtractor.filter_soup()
(slow).
The extracting function defined by the extractor is used to extract the fields from the page. +Just extract the values and return them in dict.
+With the field extracted we need to save them to a file.
+By default the fields are saved in json file.
+The way the file is saved is defined by streamers.
+All of the currently implemented streamers are derived from cmoncrawl.processor.pipeline.streamer.BaseStreamerFile
.
+Which defined how are the files saved, but the content parsing is left to the derived classes.
Currently we support 2 streamers:
+JSON (cmoncrawl.processor.pipeline.streamer.StreamerFileJSON
) and one for html (cmoncrawl.processor.pipeline.streamer.StreamerFileHTML
), which creates a json per line output, and outputs all extracted data
HTML (cmoncrawl.processor.pipeline.streamer.StreamerFileHTML
), which creates a html file (assuming the html is defined in extracted data[‘html’]).
If you want to debug you might want to use cmoncrawl.processor.pipeline.streamer.MemoryStreamer
which outputs the data to memory instead of file.
If you would like different format you can create your own saver by inheriting from cmoncrawl.processor.pipeline.streamer.IStreamer
and then changing pipeline creation with your new outstreamer.
Since we now know what steps should we do in order to extract data from Common Crawl and
+how they map to cmoncrawl
primitives, let’s now see how to do it in practice.
We already know how to get the domain records and we also know how to download, extract and save the data. +The pipeline allows use to combine all but the first step into single object that can be used to extract data from Common Crawl.
+To create a pipeline simply initialize cmoncrawl.processor.pipeline.pipeline.ProcessorPipeline
with Downloader, Router and Streamer.
+You can then call it’s cmoncrawl.processor.pipeline.pipeline.ProcessorPipeline.process_domain_record()
method with the query and it will run the whole pipeline for single domain record.
Note
+The exceptions are not handled by the pipeline and are passed to the caller, to handle them as you wish.
+Now all we need to resolve is how t effectively connect querying index and download/extracting (pipeline) data.
+One way is to query index and whenever we get a domain record, we can pass it to the pipeline, this is exactly how
+cmoncrawl.integrations.middleware.synchronized.query_and_extract()
works. This works great when we use Gateway DAO,
+as the querying index takes about the same time as downloading/extracting. This is how we can do it:
from typing import Any, Dict
+from bs4 import BeautifulSoup
+from cmoncrawl.aggregator.gateway_query import GatewayAggregator
+from cmoncrawl.processor.pipeline.extractor import BaseExtractor
+from cmoncrawl.processor.pipeline.pipeline import ProcessorPipeline
+from cmoncrawl.processor.pipeline.downloader import AsyncDownloader
+from cmoncrawl.processor.pipeline.router import Router
+from cmoncrawl.processor.pipeline.streamer import StreamerFileJSON
+from cmoncrawl.common.loggers import all_purpose_logger
+from cmoncrawl.common.types import MatchType, PipeMetadata
+from cmoncrawl.middleware.synchronized import query_and_extract
+from cmoncrawl.processor.dao.s3 import S3Dao
+from pathlib import Path
+
+
+class YourCustomExtractor(BaseExtractor):
+ def extract_soup(self, soup: BeautifulSoup, metadata: PipeMetadata) -> Dict[str, Any] | None:
+ return {"title": "Dummy"}
+
+your_custom_extractor = YourCustomExtractor()
+
+# We register our custom extractor to the router
+router = Router()
+router.load_extractor("ext", your_custom_extractor)
+router.register_route("ext", ".*bbc.com.*")
+streamer = StreamerFileJSON(Path("extracted"), max_directory_size=1000, max_file_size=100)
+
+async with S3Dao(aws_profile="dev") as dao:
+ downloader = AsyncDownloader(dao)
+ pipeline = ProcessorPipeline(downloader=downloader, router=router, outstreamer=streamer)
+
+ index_agg = GatewayAggregator(
+ urls=["bbc.com"],
+ match_type=MatchType.DOMAIN,
+ limit=1000,
+ )
+
+ processed_urls = await query_and_extract(index_agg, pipeline)
+
The otherway is to query index for all records and download/extract them afterwards. This approach works +great with Athena as the query takes around 1-2 minutes. With this approach we can than abuse both multiprocessing to process +and asyncio queues to download the data faster. This is how we can do it:
+from cmoncrawl.aggregator.athena_query import AthenaAggregator
+from cmoncrawl.common.types import MatchType
+from typing import Any, Dict
+from bs4 import BeautifulSoup
+from cmoncrawl.aggregator.gateway_query import GatewayAggregator
+from cmoncrawl.processor.pipeline.extractor import BaseExtractor
+from cmoncrawl.processor.pipeline.pipeline import ProcessorPipeline
+from cmoncrawl.processor.pipeline.downloader import AsyncDownloader
+from cmoncrawl.processor.pipeline.router import Router
+from cmoncrawl.processor.pipeline.streamer import StreamerFileJSON
+from cmoncrawl.common.loggers import all_purpose_logger
+from cmoncrawl.common.types import MatchType, PipeMetadata
+from cmoncrawl.middleware.synchronized import extract
+from cmoncrawl.processor.dao.s3 import S3Dao
+from pathlib import Path
+
+# Query
+records = []
+async with AthenaAggregator(urls=["bbc.com"],
+ match_type=MatchType.DOMAIN,
+ limit=1000,
+ bucket_name="test-dev-cmoncrawl",
+ aws_profile="dev"
+) as agg:
+ async for record in agg:
+ records.append(record)
+
+#Then extract
+
+
+
+class YourCustomExtractor(BaseExtractor):
+ def extract_soup(self, soup: BeautifulSoup, metadata: PipeMetadata) -> Dict[str, Any] | None:
+ return {"title": "Dummy"}
+
+your_custom_extractor = YourCustomExtractor()
+
+# We register our custom extractor to the router
+router = Router()
+router.load_extractor("ext", your_custom_extractor)
+router.register_route("ext", ".*bbc.com.*")
+streamer = StreamerFileJSON(Path("extracted"), max_directory_size=1000, max_file_size=100)
+
+async with S3Dao(aws_profile="dev") as dao:
+ downloader = AsyncDownloader(dao)
+ pipeline = ProcessorPipeline(downloader=downloader, router=router, outstreamer=streamer)
+
+ index_agg = GatewayAggregator(
+ urls=["bbc.com"],
+ match_type=MatchType.DOMAIN,
+ limit=1000,
+ )
+
+ processed_urls = await extract(pipeline=pipeline, records=[(rec, {}) for rec in records])
+
To leverage multiprocessing, simply divide the records into n chunks and for each chunk initialize a new process.
+Lastly you can leverage cmoncrawl.middleware.stompware.StompAggregator
to query and send data to queue using stomp protocol,
+and simulatenous retrieve the data from the queue and extract it using cmoncrawl.middleware.stompware.StompProcessor
.
If you plan to use multiprocessing or distributed approach, please try to be nice to others and limit the number of requests +at Downloader/Aggregator accordingly.
+The library is designed to make interaction with CommonCrawl’s indexes simple, +while also providing a framework for extracting data from the downloaded +HTMLs.
+You can use the library in two ways:
+Command Line Interface - This should suffice for 80% of the use cases. Restricted, but easy to use.
How to extract from Common Crawl (practice) - If you need more control over the process, you can use the library programmatically.
In order to download from CommonCrawl you first need to find the pointers to the data you want to download. +Search for the pointers is done over the specific files called indexes. The indexes don’t contain the data itself, +but rather metadata and pointers to the data. We call these pointers domain records (see Domain Record). +Once you have the domain records you can download the data from the CommonCrawl’s S3 bucket. Since you might want +to extract only specific data from the downloaded HTMLs, you can also specify a list of extractors to be run on the +downloaded HTMLs.
+The library thus supports the two step workflow:
+First download domain records from the indexes.
Download and extract the domain records.
The CommonCrawl are stored on AWS S3 us-east-1 bucket. The CommonCrawl allows you to access the data using following methods:
+Gateway - you can download the data throught CloudFlare HTTP Gateway. You will not need AWS credentials, but it is also the slowest.
S3 - you can download the data directly from S3. You will need AWS credentials, but it is also the fastest.
Additionaly, the CommonCrawl provides two ways to to query the data:
+CommonCrawl Index - Free, but more limited and incrdibly slow.
AWS Athena - Paid, but much faster, you can use SQL to query the data.
The library supports all of these methods. We recommend using S3/AWS Athena combination. Refer to the following image to see the differences:
+ +If you use the library programmatically or through CLI, +you will find, that you can specify the number of threads to use. +Please be aware that by default we limit the number of requests per thread +to 20/s. This is to prevent overloading the CommonCrawl’s servers. If you +plan to use more threads, be considerate to others and don’t set the number +of threads too high.
+