elasticsearch-api

A collection of RESTful API’s, written and tested using the Flask framework of Python language, for interacting with the Elastic-cluster without breaking any security protocol or exposing any credentials/access tokens/confidential data.

Currently Supports

1. Index creation:
   • Creating Indices.
   • Assigning ID-s.
   • Timestamp is mandatory in the records that are being indexed.
2. Functionality to load the data in the system:
   • Bulk indexing the data (from file).
   • File should be of csv or json type.
   • Inserting a single document.
3. Functionality to search the data:
   • Search on the basis of unique id.
   • Search on the basis of any specific key value.
   • Search and fetch the records in the time range given as input.
   • Keyword-based search functionality.
   • Full-text search functionality.
4. Aggregated info of my data.
   • Create Kibana dashboard for the data that is inserted
   • Visualize and analyze the data from dashboard.

Instructions to setup and run the application locally

• python --version should be >=3 and <=3.10

Star and Fork the repository. Download or clone

# clone the repository
$ git clone https://github.com/atanughosh01/elasticsearch-api
$ cd elasticsearch-api

Create a virtualenv and activate it

$ python3 -m venv venv
$ . venv/bin/activate

Or on Windows cmd

$ py -3 -m venv venv
$ venv\Scripts\activate.bat

Or on Windows powershell

$ python3 -m venv venv
$ & venv\Scripts\Activate.ps1

Install pip requirements

$ pip install -U -r requirements.txt

Run the application

$ export FLASK_APP=api
$ export FLASK_ENV=development
$ flask run

Or on Windows cmd

> set -x FLASK_APP=api
> set -x FLASK_ENV=development
> flask run

Or on Windows powershell

> $env:FLASK_APP = "api"
> $env:FLASK_ENV = "development"
> flask run

Alternate way to run the application

Create a .flaskenv in the root directory with the following content

export FLASK_APP=api
export FLASK_ENV=development

Make sure that python-dotenv is installed

$ pip install python-dotenv==0.20.0

Then execute flask run on the terminal.

Open http://127.0.0.1:5000 in a browser.
Use Postman to test the collection of API’s.

Steps for Containerization

• Move to the root directory.
• Check if the .flaskenv file exists, if not create it

• Make sure whether Docker is running or not

    $ docker version
    $ docker images
  

• Build the docker image with Dockerfile

    $ docker build -t es-api:v0.0.1 .
  

• Run the docker image

    $ docker run --name ElasticAPI -p 5000:5000 -d es-api:v0.0.1
  

• Check the status of the container

    $ docker ps
  

Open localhost:5000 in a browser.
Use Postman to test the collection of API’s.