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Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
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Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

About

analyse commit logs for fun and profit

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
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Repository files navigation

Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

About

analyse commit logs for fun and profit

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
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Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
Skip to content

Repository files navigation

Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

About

analyse commit logs for fun and profit

Resources

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
Skip to content

Repository files navigation

Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

About

analyse commit logs for fun and profit

Resources

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0 stars

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); GitHub - repocha/commit.logs.x: analyse commit logs for fun and profit · GitHub
Skip to content

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Mining commit logs in code repositories

For sw/sys "researchy" projects, we often needs to mine the history (the commit logs) to understand the common mistakes and patterns of changes. This repo provides some simple parsers and kw-based selectors.

It currently supports Git, SVN, and Bazaar repos with git_parser.py, svn_parser.py, and bzr_parser.py; you can easily extend the base_parser.py for other SCM tools. The parsing is not relying on any APIs provided by the SCM tools, but the structure of the commit logs (we intentionally do not want to rely on any external APIs).

In general, the input is the commit logs of a given repo, e.g., the output of git log.

The parsers and selectors are extremely simple; but that they are sufficient in most use cases we have encountered in the past. On other other hand, if we need more features, we can always extending the code along the way (this is how we maintain the codebase).

In the app directory, there're several "apps" we used the parsers and selectors in the past projects.

About

analyse commit logs for fun and profit

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

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