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Doc-Ops is and document analyzer which analyzes documents and gives good insights on the document and it does a lot more operations on doc like searching string etc. here we also tried to implement searching functionality in parallel to enhance the speed

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gaurav-chaurasia/doc-ops

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Doc-Ops

Build Status NPM version contributions welcome

Note: All steps were performed using on Windows 10.
ScreenShots
Installation
Run Locally

  • document search using Parallel Approach doc-ops
  • document search using Sequential Approach
  • Overall Analysis and insights of Doc
  • Ans many more operations

INSTALLATIONS

RUN LOCALLY Note: All steps were performed using on Windows 10.

  • Install node(14.15.0)

    • NODEJS
    • Use default setting and just keep clicling next till finish
  • Install Git -GIT

    • Use default setting and just keep clicling next till finish

RUN_LOCALLY

  • Clone the Repo:
        $ git clone https://github.com/gaurav-chaurasia/doc-ops.git
  • Move to the folder where you cloned the project
  • Install all dependencies and devDependencies by running the following command
        $ npm install
  • Before running the server add .env file in root folder or simply replace .env.example with .env file and add your keys
  • to get Client id & Client Secret link
  • to get DATABASE_CONNECTION_URL and make DB connection link
        # database connection url
        DATABASE_URI=<YOUR_DATABASE_CONNECTION_URL>

        # client id & secret for OAuth
        GOOGLE_OAUTH2_CLIENT_ID=<YOUR_OAUTH_CLIENT_ID>
        GOOGLE_OAUTH2_CLIENT_SECRET=<YOUR_OAUTH_CLIENT_SECRET>
  • Now run the server by running following command
    • dev runs the sever with nodemon which automatically restart server everytime we make any changes
    $ npm start
  • The above steps run test and starts the development server on localhost:3000
  • Go to http://localhost:3000/ in your browser
  • It will automatically redirect you to the Home page and then ask for Signup or Login.

ScreenShots

Home Page ROOT ROUTE

/work flow

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Doc-Ops is and document analyzer which analyzes documents and gives good insights on the document and it does a lot more operations on doc like searching string etc. here we also tried to implement searching functionality in parallel to enhance the speed

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