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Repository files navigation

This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.

Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.

Design

The system consists of several components:

  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API

The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.

Usage

You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.

AWS deployment

Prerequisites:

  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.

If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.

AWS Console Deployment Steps:

  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:
    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.

Local deployment

You can run Runway locally and use it to load to your ODS without any dependence on AWS.

See app/README.md for full local instructions

External API

Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.

Application features

Coming soon...

This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.

Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.

About

Webapp that loads assessment results to an Ed-Fi ODS

www.edanalytics.org/products/runway

Resources

Readme
License
Activity
Custom properties

Stars

1 star

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, '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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
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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('^' + ".*" + '

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This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
This repo contains code for Runway, a software system for integrating data to Ed-Fi. It can be deployed locally via Docker or in AWS.
Runway is a friendly UI over our open source tools Earthmover and Lightbeam for loading flat files (particularly assessments) to an Ed-Fi ODS. But note that Runway itself is not open source, but non-commercial. It is free to use for Education Agencies and non-profits, but requires a license for for-profit entities. See our license for details.
Design
The system consists of several components:
  1. the Application frontent and backend (see app/), with which users interact to set up Ed-Fi connections and run integration jobs
  2. the Executor (see executor/), which executes Jobs, transforming input data and sending it to an Ed-Fi API
The Executor uses earthmover to transform input data and lightbeamto send it to an Ed-Fi API.
Usage
You can deploy this app in AWS or locally. Once deployed, see application features for tips on how to use the app.
AWS deployment
Prerequisites:
  1. You must have an AWS account
  2. You must have deployed a custom VPC, 2 public subnets, and 2 private subnets before deploying the Runway templates. It is not advisable for users to use the default VPC initially deployed by AWS.
  3. You must have created a Hosted Zone and NS record for the domain at which you intend to deploy your Runway environment(s).
  4. You must have created a GitHub Connection in AWS CodePipeline between your GitHub and AWS accounts.
If you would like more guidance and support with deploying Runway in AWS, please reach out to our team using this form.
AWS Console Deployment Steps:
  1. In your AWS account, navigate to S3 and create an S3 bucket with a unique name that will be used to hold the Runway CloudFormation templates. Example bucket name:

    • {OrgName}-{ProductName}-{EnvironmentType}-cloudformation
    • educationanalytics-runway-dev-cloudformation
  2. Fork the Runway repository under your own Github account and use the main branch.
  3. Upload the contents inside of the cloudformation folder into your S3 bucket. Make sure the S3 bucket contains both lambdas and templates folders with their respective files inside.
  4. Copy the S3 URL for the templates > 1-main.yml file.
  5. Navigate to the CloudFormation console in AWS. Create a new stack with new resources.
  6. Select Choose an existing template > Amazon S3 URL and paste your copied URL for the 1-main.yml file into the field. Click Next.
  7. Enter stack parameter values. Please read the doc here for more information on parameter values and descriptions.
  8. Navigate through the next screens on the console until you are able to start the deployment.
Local deployment
You can run Runway locally and use it to load to your ODS without any dependence on AWS.
See app/README.md for full local instructions
External API
Runway exposes an API for programmatic job submission, allowing external systems to create and start jobs without using the UI. The API requires OAuth2 bearer tokens from a configured identity provider. See the External API README for configuration and usage instructions.
Application features
Coming soon...
This repo also contains a folder bundleSchemas/ which contains several examples of JSON schemas (which a bundle could provide) that would be turned into form elements on the "create job" part of this app, to collect configuration settings to be passed into the bundle.
Such schemas can be turned into form elements using (for React) react-jsonschema-form or (for jQuery) jsonform, jsonToForm, or json-editor.
About
Webapp that loads assessment results to an Ed-Fi ODS
www.edanalytics.org/products/runway
Resources
Readme
License
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages