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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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" + '
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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

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47 Commits

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NameName
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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

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47 Commits

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NameName
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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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

Latest commit

History

47 Commits

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NameName
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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

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); } })(); })();
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Weather sensor data package

Table of Contents

Introduction

Weather sensor data storage

A node application that stores data generated by a collection of sensors set up world wide. The sensors send a CSV payload of data which they collect over a period of time.

Technologies used

  • Backend: NodeJS & RestAPI & Expressjs using Javascript
  • Database: Postgres
  • REST API documentation: Swagger UI
  • Testing: Jest, Supertest
  • CI - Github Actions
  • Containerization - Docker

Features

The service has four major endpoints implemented

  • POST "/api/login": This endpoint handles user authentication by validating the provided email and password. Upon successful authentication, a cookie is returned that can be used to authorize subsequent requests.

  • POST "/api/sensors/upload": Sensor data is sent to this endpoint for storage. The data is authenticated using the cookie obtained from the login request. CSV data provided in the POST body is stored for later queries.

  • POST "/api/sensors/search": This endpoint allows users to retrieve sensor data. Authentication is performed using the previously obtained cookie from the login request.

  • POST "/api/register": New users can register using this endpoint. User data, including email and password, can be submitted to create a new account.

The authentication and authorization mechanisms in use (bcrypt, JWT tokens and Cors)

Getting Started

To run this web application on your local machine, follow the steps below:

Prerequisites

Before getting started, ensure that you have the following software installed on your machine:

Before you start the application, you need to set up an environment variables. Here's how you can do it:

PORT=3001
JWT_SECRET="YOUR KEY"
NODE_ENV=development
DEV_USERNAME="DATABASE USERNAME"
DEV_PASSWORD="DATABASE PASSWORD"
DEV_DATABASE="NAME OF DB"
DEV_PORT=5432
DEV_HOST="HOST"

Create a file called .env in express-backend folder of the project with the environmental variables above. Replace "YOUR KEY","DATABASE USERNAME","DATABASE PASSWORD","NAME OF DB","HOST"with the appropriate values.

Installation

Step-by-step guide on how to install the project and its dependencies.

  1. Clone the repository to your local machine using Git:
git clone https://github.com/ayofalo/weather-data.git
  1. Navigate to the project directory
cd weatherdata
cd express-backend
  1. Install the project dependencies using NPM(Node Package Manager):
npm install

Running the web application

Once you have installed the dependencies, you can start the web application using

npm run start

Running Tests

Once you have installed the dependencies, you can run test within the express-backend directory

  • run test express-backend
cd express-backend
npm run test

Run docker

navigate to the root directory

cd weatherdata
docker-compose up

To stop the containers

docker-compose stop

API documentation

Access API documentation via Swagger UI using the link below after starting up the application

http://localhost:3001/api-docs/

Usage

License

This project is licensed under the MIT License.

Authors

Contributors names and contact info

Ayo Folami

About

A node application that stores data generated by a collection of sensors set up worldwide.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages