ds.summary simplification #257

Description

@tombisho

ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

There are 2 things I would like to raise about this approach:

  1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
  2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
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      ds.summary simplification #257

      Description

      @tombisho

      ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

      There are 2 things I would like to raise about this approach:

      1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
      2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

      I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

      I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

      This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

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

          ds.summary simplification #257

          Description

          @tombisho

          ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

          There are 2 things I would like to raise about this approach:

          1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
          2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

          I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

          I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

          This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

          Activity

          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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

              ds.summary simplification #257

              Description

              @tombisho

              ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

              There are 2 things I would like to raise about this approach:

              1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
              2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

              I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

              I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

              This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

              Activity

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

                  ds.summary simplification #257

                  Description

                  @tombisho

                  ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

                  There are 2 things I would like to raise about this approach:

                  1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
                  2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

                  I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

                  I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

                  This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

                  Activity

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                      None yet

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

                      ds.summary simplification #257

                      Description

                      @tombisho

                      ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

                      There are 2 things I would like to raise about this approach:

                      1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
                      2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

                      I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

                      I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

                      This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

                      Activity

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

                          ds.summary simplification #257

                          Description

                          @tombisho

                          ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

                          There are 2 things I would like to raise about this approach:

                          1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
                          2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

                          I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

                          I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

                          This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

                          Activity

                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              ds.summary simplification #257

                              Description

                              @tombisho

                              ds.summary was originally written to deal with simple R object types like dataframes and vectors. It tests the object type on the server side, and depending on the result, calls a serverside method that generates a privacy protected summary and returns it to the client.

                              There are 2 things I would like to raise about this approach:

                              1. As we add more exotic object types, the list of if{} then{} statements grows ever longer
                              2. If the object type has not been added to ds.summary and a corresponding server side function defined to summarise it, a summary is not available

                              I have been looking how the native summary() function works. It is written as a generic function, which just provides a placeholder. When new objects are defined, they can provide their own method for summarising the data. For example, an object of class blob could have a method called summary.blob(). When summary() is called with a blob object, the code in summary.blob() is executed. There is also a method summary.default() which looks at the underlying structure of an object - most objects are matrices, lists etc. with some extra attributes - and then summarises it. For example, if the blob object was just a matrix with some extra attributes, and we did not define a method for summarising it, when summary() is called, it falls back to summary.default(). This sees that the blob object is really just a matrix and summarises each column.

                              I wonder if a similar approach might be useful in DataSHIELD, to save having to explicitly define summary functions for every object type.

                              This would mean having a generic summaryDS() function which is analogous to the summary() function, but with privacy protection. Objects created with DataSHIELD on the serverside could also define their own version of summaryDS(), for example summaryDS.glm() for GLMs.

                              Activity

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