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Data Pipeline of Facebook Artist Chatbot (Spotify API)

※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.

Summary

This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.

Environment

TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API

Data Pipeline

How It Works

  1. Facebook Chatbot (Client)
    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function

Project Review

DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?

  • RDS와 DynamoDB의 차이점

그 외의 issues

  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.

About

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
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Activity
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Contributors

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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5 Commits
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NameName
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readme.md
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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors

, '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('^' + ".*" + '

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BranchesTags
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5 Commits
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NameName
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readme.md
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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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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5 Commits
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NameName
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readme.md
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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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Contributors

, '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); }
})();
})();

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Data Pipeline of Facebook Artist Chatbot (Spotify API)
※ The scripts are from the last section of Fastcampus Data Engineering course, yet I, of course, typed and reviewed all the scripts for my understanding.
Summary
This is my first data engineering project with data pipeline example of Facebook Artist Chatbot Application. The chatbot provides top tracks and genres of the global artists through Spotify API in real time.
Environment
TypeDetails
LanguagePython 3.7, Shell
StorageAWS S3, EC2
RDBMSAWS RDS (MySQL)
NoSQLAWS DynamoDB
OSUbuntu 14.05 (AWS EC2), Windows 10
API CallAWS Lambda
Log MonitoringAWS Cloud Watch
API ServiceAWS API Gateway
LibraryPymysql, boto3, json, etc
Data SourceSpotify API
Data Pipeline
How It Works
  1. Facebook Chatbot (Client)

    • Artist 이름을 챗봇에 입력한다.
  2. AWS Lambda Function
Project Review
DynamoDB를 top tracks를 업데이트하는 테이블로 사용한 이유는 무엇인가?
  • RDS와 DynamoDB의 차이점
그 외의 issues
  • Due to Covid-19, Facebook currently has paused to review and approve the apps for individual uses.
About
Data Engineering projects
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors