BranchesTags

Latest commit

History

23 Commits

Folders and files

NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png

Repository files navigation

scan2deploy

Just write down your docker file , take a snap and deploy the app in Kubernetes!

s2d3

Demo Link

Requirements

Install OpenCV by

$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->

Install boto3 (calls APIs of AWS services) by

$ pip install boto3

Install aws command line tool by

$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images Download Docker Desktop from -> link

Enviornment settings

Docker Desktop-

After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.

AWS-

configure AWS-CLI by -

$ aws configure

Create a bucket in S3 (here the snap will be uploaded)

$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh

Working and Usage

The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line. More on AWS Textract -> link

textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)

the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.

After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.

To get the port number where the service is launched, go to the master node and run ->

$ kubectl get svc

To get the IP of node on which the pod is launched run this ->

$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>

About

take a snap and deploy on kubernetes!

Resources

Readme
MIT license
Activity

Stars

18 stars

Watchers

1 watching

Forks

3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
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
BranchesTags
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 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
Latest commit
History
23 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
main.py
main.py
s2d3.png
s2d3.png
Repository files navigation
scan2deploy
Just write down your docker file , take a snap and deploy the app in Kubernetes!
s2d3
Demo Link
Requirements
Install OpenCV by
$ pip install opencv-python

Do this if your Kubernetes cluster is running in aws ->
Install boto3 (calls APIs of AWS services) by
$ pip install boto3

Install aws command line tool by
$ pip install awscli

Since I am running the code on Windows machine , Docker Desktop is required to get the docker enviornment for building and pushing images
Download Docker Desktop from -> link
Enviornment settings
Docker Desktop-
After opening Docker Desktop, provide your Docker Hub credentials so that pushing images happens smoothly.
AWS-
configure AWS-CLI by -
$ aws configure

Create a bucket in S3 (here the snap will be uploaded)
$ aws s3api create-bucket --bucket <bucket-name> --region <region-name> --create-bucket-configuration LocationConstraint=<region-name>

Have the Kubernetes master key (.pem file) in the working directory, so that deployment can be made using ssh
Working and Usage
The image of your page is uploaded in the S3 bucket. This image is then processed by AWS Textract service, which extracts the text from it line by line.
More on AWS Textract -> link
textract=boto3.client('textract')
response=textract.detect_document_text(
Document={
'S3Object': {
'Bucket': bucket_name,
'Name': file_name,
}
}
)
the lines are written in the Dockerfile, which is then used to build the container image and push it to Docker Hub.
After pushing the image to Docker Hub, the code runs the command to create a deployment using the image pushed (using ssh) and expose it to create a service.
To get the port number where the service is launched, go to the master node and run ->
$ kubectl get svc

To get the IP of node on which the pod is launched run this ->
$ kubectl describe pod <name-of-pod>

The app can be accessed by http://<IP-of-node>:<port_no>
About
take a snap and deploy on kubernetes!
Resources
Readme
MIT license
Activity
Stars
18 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages