Faker-data

This project is a simple API that has different endpoints that allow us to consume random data such as temperatures, network connections, etc.

Get Started

1. Source Code

pip install -r requirements
cd api & flask run -p 8080

2. Docker Image

docker pull rghcr.io/elskater98/fake-data
docker run -it --rm -p 8080:8080 -e FLASK_DEBUG=1 -e FAKER_I18N=es_ES rghcr.io/elskater98/fake-data:latest

Env. Variables

FAKER_I18N = es_ES # 
FLASK_DEBUG = 1

Endpoints

[GET] generate/time-series/temperature

RESPONSE

{ 
    "collect_dt": "2024-06-01 21:09:55",
    "value": 13.958027224129026
},
{
    "collect_dt": "2024-06-01 21:10:00",
    "value": 16.07785986202289
},
{
    "collect_dt": "2024-06-01 21:10:05",
    "value": 24.735720654579758
},
{
    "collect_dt": "2024-06-01 21:10:10",
    "value": 6.517568254544638
},
{
    "collect_dt": "2024-06-01 21:10:15",
    "value": 28.623424149058135
}

[GET] generate/time-series/network-traffic

RESPONSE

{
    "collect_dt": "2024-04-05 06:29:30",
    "ip_address": "79.118.165.163",
    "lat": "-59.807033",
    "long": "116.667229"
},
{
    "collect_dt": "2024-05-14 06:24:23",
    "ip_address": "155.221.242.216",
    "lat": "-28.212631",
    "long": "-109.271807"
},
{
    "collect_dt": "2024-03-12 10:41:20",
    "ip_address": "56.24.43.96",
    "lat": "87.517305",
    "long": "-120.644543"
},
{
    "collect_dt": "2024-04-08 12:10:31",
    "ip_address": "67.31.230.135",
    "lat": "67.4960095",
    "long": "-36.332288"
}

[GET] generate/time-series/calls

RESPONSE

{
    "collect_dt": "2024-06-01 06:57:51",
    "dest": "(789)589-0677x452",
    "origin": "(345)333-4071x37091"
},
{
    "collect_dt": "2024-06-01 11:04:13",
    "dest": "374-606-1581x577",
    "origin": "801.515.2282x7174"
},
{
    "collect_dt": "2024-06-01 20:13:53",
    "dest": "(389)572-2370",
    "origin": "328.467.4208x7238"
},
{
    "collect_dt": "2024-05-31 13:09:43",
    "dest": "563.942.8558x8731",
    "origin": "+1-401-906-9076x96204"
}

[GET] generate/person

RESPONSE

{
    "address": "Unit 1154 Box 8871\nDPO AP 70248",
    "birthdate": "Fri, 22 Sep 1911 00:00:00 GMT",
    "blood_group": "AB+",
    "company": "Ramirez-Williams",
    "current_location": [
        "34.134364",
        "49.816246"
    ],
    "job": "Health and safety inspector",
    "mail": "qriley@gmail.com",
    "name": "Daniel Mcdaniel",
    "residence": "PSC 2948, Box 3610\nAPO AP 81529",
    "sex": "M",
    "ssn": "882-94-0150",
    "username": "grahamanita",
    "website": [
        "https://www.moore.com/",
        "https://stewart-lamb.com/",
        "http://weiss.net/"
    ]
}