Ability to specify default S3 Bucket #1258

Description

@jerrygb

Describe the bug
The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

Please let me know if my understanding is incorrect or there is better way to go about this.

I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

To reproduce

sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
sagemaker_session.default_bucket() 

Expected behavior
I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

Screenshots or logs
NA

System information
A description of your system. Please provide:

  • SageMaker Python SDK version: master or 1.50.7
  • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
  • Framework version: NA
  • Python version: NA
  • CPU or GPU: NA
  • Custom Docker image (Y/N): NA

Additional context
Add any other context about the problem here.

Activity

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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" + '
      
      Skip to content

      Ability to specify default S3 Bucket #1258

      Description

      @jerrygb

      Describe the bug
      The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

      The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

      A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

      Please let me know if my understanding is incorrect or there is better way to go about this.

      I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

      To reproduce

      sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
      sagemaker_session.default_bucket() 

      Expected behavior
      I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

      Screenshots or logs
      NA

      System information
      A description of your system. Please provide:

      • SageMaker Python SDK version: master or 1.50.7
      • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
      • Framework version: NA
      • Python version: NA
      • CPU or GPU: NA
      • Custom Docker image (Y/N): NA

      Additional context
      Add any other context about the problem here.

      Activity

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

      Metadata

      Metadata

      Assignees

      No one assigned

        Type

        No type

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          No milestone

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          None yet

          Development

          No branches or pull requests

          Issue actions

          , '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

          Ability to specify default S3 Bucket #1258

          Description

          @jerrygb

          Describe the bug
          The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

          The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

          A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

          Please let me know if my understanding is incorrect or there is better way to go about this.

          I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

          To reproduce

          sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
          sagemaker_session.default_bucket() 

          Expected behavior
          I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

          Screenshots or logs
          NA

          System information
          A description of your system. Please provide:

          • SageMaker Python SDK version: master or 1.50.7
          • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
          • Framework version: NA
          • Python version: NA
          • CPU or GPU: NA
          • Custom Docker image (Y/N): NA

          Additional context
          Add any other context about the problem here.

          Activity

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

          Metadata

          Metadata

          Assignees

          No one assigned

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , '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

              Ability to specify default S3 Bucket #1258

              Description

              @jerrygb

              Describe the bug
              The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

              The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

              A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

              Please let me know if my understanding is incorrect or there is better way to go about this.

              I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

              To reproduce

              sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
              sagemaker_session.default_bucket() 

              Expected behavior
              I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

              Screenshots or logs
              NA

              System information
              A description of your system. Please provide:

              • SageMaker Python SDK version: master or 1.50.7
              • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
              • Framework version: NA
              • Python version: NA
              • CPU or GPU: NA
              • Custom Docker image (Y/N): NA

              Additional context
              Add any other context about the problem here.

              Activity

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

              Metadata

              Metadata

              Assignees

              No one assigned

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , '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

                  Ability to specify default S3 Bucket #1258

                  Description

                  @jerrygb

                  Describe the bug
                  The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

                  The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

                  A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

                  Please let me know if my understanding is incorrect or there is better way to go about this.

                  I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

                  To reproduce

                  sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
                  sagemaker_session.default_bucket() 

                  Expected behavior
                  I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

                  Screenshots or logs
                  NA

                  System information
                  A description of your system. Please provide:

                  • SageMaker Python SDK version: master or 1.50.7
                  • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
                  • Framework version: NA
                  • Python version: NA
                  • CPU or GPU: NA
                  • Custom Docker image (Y/N): NA

                  Additional context
                  Add any other context about the problem here.

                  Activity

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

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , '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

                      Ability to specify default S3 Bucket #1258

                      Description

                      @jerrygb

                      Describe the bug
                      The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

                      The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

                      A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

                      Please let me know if my understanding is incorrect or there is better way to go about this.

                      I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

                      To reproduce

                      sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
                      sagemaker_session.default_bucket() 

                      Expected behavior
                      I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

                      Screenshots or logs
                      NA

                      System information
                      A description of your system. Please provide:

                      • SageMaker Python SDK version: master or 1.50.7
                      • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
                      • Framework version: NA
                      • Python version: NA
                      • CPU or GPU: NA
                      • Custom Docker image (Y/N): NA

                      Additional context
                      Add any other context about the problem here.

                      Activity

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

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Type

                        No type

                        Projects

                        No projects

                          Milestone

                          No milestone

                          Relationships

                          None yet

                          Development

                          No branches or pull requests

                          Issue actions

                          , '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

                          Ability to specify default S3 Bucket #1258

                          Description

                          @jerrygb

                          Describe the bug
                          The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

                          The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

                          A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

                          Please let me know if my understanding is incorrect or there is better way to go about this.

                          I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

                          To reproduce

                          sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
                          sagemaker_session.default_bucket() 

                          Expected behavior
                          I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

                          Screenshots or logs
                          NA

                          System information
                          A description of your system. Please provide:

                          • SageMaker Python SDK version: master or 1.50.7
                          • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
                          • Framework version: NA
                          • Python version: NA
                          • CPU or GPU: NA
                          • Custom Docker image (Y/N): NA

                          Additional context
                          Add any other context about the problem here.

                          Activity

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

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , '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

                              Ability to specify default S3 Bucket #1258

                              Description

                              @jerrygb

                              Describe the bug
                              The sagemaker session allows us to setup a default bucket, which is great. This is part of the PR #1168, but it was removed in #1175 and later added back in #1176.

                              The part we are missing is, where we could override the bucket with something existing. @laurenyu eluded to this point in her review comments.

                              A question/suggestion, would it be best for self.default_bucket() to check whether the bucket exists or we have appropriate permissions before we try create a new bucket in the interest of restrictive AWS environments that explicitly prevent bucket creation.

                              Please let me know if my understanding is incorrect or there is better way to go about this.

                              I would have expected the function to use s3.meta.client.head_bucket to check if the bucket exists before it creates it. This is important, since functions like self.upload_data() just called self.default_bucket() to enforce a declarative state (create bucket if not there) and then return the bucket name.

                              To reproduce

                              sagemaker_session = sagemaker.session.Session(default_bucket='my-bucket')
                              sagemaker_session.default_bucket() 

                              Expected behavior
                              I would have expected the above command to check for an existing bucket and then create it if it cannot find the bucket. Inadvertently, because of the nature of the head_bucket(), it would also try to create the bucket if the context role does not have necessary permissions. But I think that is still better than calling the create_bucket() API call each time in the interest of the IAM role that the data scientists may have.

                              Screenshots or logs
                              NA

                              System information
                              A description of your system. Please provide:

                              • SageMaker Python SDK version: master or 1.50.7
                              • Framework name (eg. PyTorch) or algorithm (eg. KMeans): NA
                              • Framework version: NA
                              • Python version: NA
                              • CPU or GPU: NA
                              • Custom Docker image (Y/N): NA

                              Additional context
                              Add any other context about the problem here.

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