API-Bulk Endpoint

Parameter	Type	Description
hallticket_from	string	Required: Beginning hallticket number
hallticket_to	string	Required: Ending hallticket number
dob	string	Required: Your Date of Birth (YYYY-MM-DD)
degree	string	Required: usually : btech
examCode	string	Required: unique exam code
eType	string	Required: unique eType
type	string	Optional: unique type ( eg: intgrade )
result	string	Required: parameter for old results links

An extremely fast (~2.6 seconds on average for getting results of 198 halltickets) endpoint to fetch huge list of results.

It is a query parameter endpoint to get results asynchronously of a set of halltickets given the starting and ending numbers of the desired range along with other exam parameters.

  GET /api?hallticket_from&hallticket_to&dob&degree&examCode&eType&type&result

NOTE

If you specify a range of 60 values, that is 60 students - the backend shoots 60 asynchronous requests to JNTUH servers. Although similar requests are cached using Redis, it is highly adviced use this feature properly, so that there wouldn't be a DDoSopen in new window.

Usage

1. Go here:

https://results-restapi.up.railway.app

2. As the above parameters have been mentioned, form the endpoint as such:

    https://results-restapi.up.railway.app/api?hallticket_from&hallticket_to&dob&degree&examCode&eType&type&result
   

3. Substitute your identification values in the above parameters and the RestAPI is triggered.

Example

You could use Postman or any other service as you wish to test the RestAPI.

Copy and paste this url in a new tab:

https://results-restapi.up.railway.app/api/bulk/calculate?hallticket_from=185U1A0560&hallticket_to=185U1A0580&dob=3&examCode=1502&result=&type=intgrade&etype=r17&degree=btech

and it shall trigger the endpoint with the below response. Now, all you need to do is change the hallticket-number and the date-of-brith to trigger the endpoint to fetch the specific results.

When you request this endpoint, a worker thread is fired to fetch the results asynchronously. While that happens, the result is expected to be in two states. Such as:

1. Result is loading

{
  "result": "loading"
}

• Please keep refreshing the page until you see the below response. I had to do this because the list of halltickets to get the result for is typically huge and, Heroku has 30 second timeout for a pirticular request.

2. Resuts are fetched

[
  [
    {
      "SGPA": 7.91
    },
    {
      "HTNO": "185U1A0565",
      "NAME": "KOTAGIRI HEMANTH",
      "FATHER NAME": "K SRINIVAS",
      "COLLEGE CODE": "5U"
    },
    [
      {
        "subject_code": "15607",
        "subject_name": "COMPILER DESIGN LAB",
        "grade_earned": "O",
        "subject_credits": "1.5",
        "internal_marks": "22",
        "external_marks": "71",
        "total_marks": "93"
      },
      {
        "subject_code": "15618",
        "subject_name": "MACHINE LEARNING LAB",
        "grade_earned": "O",
        "subject_credits": "1.5",
        "internal_marks": "24",
        "external_marks": "74",
        "total_marks": "98"
      },
      {
        "subject_code": "15631",
        "subject_name": "SOFTWARE TESTING METHODOLOGIES LAB",
        "grade_earned": "O",
        "subject_credits": "1",
        "internal_marks": "23",
        "external_marks": "70",
        "total_marks": "93"
      },
      {
        "subject_code": "15634",
        "subject_name": "CYBER SECURITY",
        "grade_earned": "O",
        "subject_credits": "0",
        "internal_marks": "96",
        "external_marks": "0",
        "total_marks": "96"
      },
      {
        "subject_code": "156AH",
        "subject_name": "COMPILER DESIGN",
        "grade_earned": "B",
        "subject_credits": "4",
        "internal_marks": "17",
        "external_marks": "36",
        "total_marks": "53"
      },
      {
        "subject_code": "156AN",
        "subject_name": "DESIGN AND ANALYSIS OF ALGORITHMS",
        "grade_earned": "A+",
        "subject_credits": "4",
        "internal_marks": "22",
        "external_marks": "58",
        "total_marks": "80"
      },
      {
        "subject_code": "156BN",
        "subject_name": "MACHINE LEARNING",
        "grade_earned": "A",
        "subject_credits": "4",
        "internal_marks": "22",
        "external_marks": "48",
        "total_marks": "70"
      },
      {
        "subject_code": "156CW",
        "subject_name": "SOFTWARE TESTING METHODOLOGIES",
        "grade_earned": "B+",
        "subject_credits": "3",
        "internal_marks": "22",
        "external_marks": "46",
        "total_marks": "68"
      },
      {
        "subject_code": "156DP",
        "subject_name": "DISASTER PREPAREDNESS & PLANNING MANAGEMENT",
        "grade_earned": "B+",
        "subject_credits": "3",
        "internal_marks": "18",
        "external_marks": "44",
        "total_marks": "62"
      }
    ]
  ],
  [
    {
      "SGPA": ...
    },
    {
      "HTNO": "185U1A0566",...
    },
    [
      {
        "subject_code": "15607",
        "subject_name": "COMPILER DESIGN LAB",
        "grade_earned": "O",
        "subject_credits": "1.5",
        "internal_marks": "22",
        "external_marks": "71",
        "total_marks": "93"
      },...
    ]
  ],
]