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github-org-indexer

Overview

A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.

Usage

Requires parameter: organization

Relies on the following environment variables:

  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.

Example:

python indexer.py elastic

In-Memory queue configuration

The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.

Dependencies

Before running the script, install Python requirements with pip install -r indexer/requirements.txt

Running in Docker

The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.

In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:

  • GH_ORG: the GitHub organization to index

Usage

docker compose up --build

Sample output:

Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
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Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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No description, website, or topics provided.
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
BranchesTags
Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
BranchesTags
Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
BranchesTags
Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
BranchesTags
Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

About
No description, website, or topics provided.
Resources
Readme
MIT license
Activity
Stars
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1 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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el.style.top = 'auto';
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - kostasb/github-org-indexer · GitHub
Skip to content
BranchesTags
Repository files navigation
github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

About
No description, website, or topics provided.
Resources
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MIT license
Activity
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1 watching
Forks
0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - kostasb/github-org-indexer · GitHub
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github-org-indexer
Overview
A Python tool that receives a GitHub organization name as parameter and indexes the repository names along with all the repository’s respective tags to an Elasticsearch instance.
Usage
Requires parameter: organization
Relies on the following environment variables:
  • GITHUB_TOKEN: a Token to use for authentication with GitHub
  • ES_CLOUD_ID: Elastic Cloud cluster's Cloud ID
  • ES_USER: the username to use with Elasticsearch
  • ES_PASS: the password to use with Elasticsearch
  • ES_INDEX: (Optional) the target Elasticsearch index. If not set it defaults to the organization parameter.
Example:
python indexer.py elastic
In-Memory queue configuration
The global variable MAX_MEMORY_QUEUE_SIZE configures the maximum number of documents to hold in memory before flushing to Elasticsearch, which can help control memory utilization when handling high cardinality datasets, such as organizations with many repos and tags that generate many documents.
Dependencies
Before running the script, install Python requirements with pip install -r indexer/requirements.txt
Running in Docker
The included docker-compose.yml file can spin up an orchestrated environment that includes the indexer script as well as a basic "end to end" test which compares the number of items found in the GitHub repository against the number of indexed documents in Elasticsearch.
In addition to the environment variables in the usage section, running Docker Compose also expects the following environment variable:
  • GH_ORG: the GitHub organization to index
Usage
docker compose up --build

Sample output:
Attaching to e2etests-1, indexer-1
indexer-1 | Retrieving repositories and tags from orgname
indexer-1 | Fetching: orgname/test1
indexer-1 | Indexing 2 documents to Elasticsearch
indexer-1 | Finished indexing repositories and tags of GitHub organization 'orgname' into Elasticsearch index 'orgname'.
indexer-1 exited with code 0
e2etests-1 | Starting End to End tests
e2etests-1 | E2E tests - Retrieving repositories and tags from orgname
e2etests-1 | Fetching: orgname/test1
e2etests-1 | Gathered 2 items from Github organization orgname
e2etests-1 | E2E tests - Retrieving document count from Elasticsearch
e2etests-1 | Found 2 documents in Elasticsearch index orgname
e2etests-1 | E2E TESTS PASSED documents_in_github: 2 documents_in_es 2
e2etests-1 exited with code 0

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