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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

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Template for initializing an EDU deployment

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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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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

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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('^' + ".*" + '
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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

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5 watching

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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('^' + ".*" + '
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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

Watchers

5 watching

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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

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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

Watchers

5 watching

Forks

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Packages

Contributors

Languages

, '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

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47 Commits

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NameName
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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

Watchers

5 watching

Forks

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Packages

Contributors

Languages

, '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

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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages

, '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

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Folders and files

NameName
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Stadium {Implementation}

This repository was created using the EDU project template. It contains code and configuration that extend EDU for {Implementation}'s Stadium implementation. See our documentation of EDU at enableDataUnion.org.

Navigating this code repository

airflow folder

Useful for: data engineers/airflow developers

This folder contains the DAGs, python code, and configuration that power this implementation's Airflow instance. For example, configs here determine the schedule and instructions for the EdfiResourceDAG, which is imported from edu_edfi_airflow, and is used to pull from an Ed-Fi API and copy data into Snowflake. There are also DAGs imported from ea_airflow_util, like the RunDbtDag, which triggers dbt runs on a schedule.

codegen folder

Useful for: data engineers working on initial project setup

This folder contains python scripts that use the Ed-Fi Swagger to generate code needed for initial project setup.

dbt folder

Useful for: data/analytics engineers or analysts looking to configure business rules or extend EDU for this implementation

This folder contains the dbt project for this implementation. You will find csv configuration xwalks under seeds, sql scripts for implementation-specific database objects under models, and overall project configuration in dbt_project.yml. Note that package edu_wh is imported in packages.yml.

You can read more about generic dbt project structure here.

init folder

Useful for: data engineers working on initial project setup

This folder contains bash scripts needed for initial setup of the python environment (run by cloud infrastructure).

About

Template for initializing an EDU deployment

Resources

Stars

7 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages