test_all_data.py

import unittest
import api.all_data

class TestAllData(unittest.TestCase):

    def test_basic(self) -> None:
        self.assertIsInstance(all_data.send_req_basic('adbl'), dict)

    def test_nepse(self) -> None:
        """
            tests if live index is float, percent-change is float and status is a dict with val True or False
        """
        self.assertIsInstance(float(all_data.send_req_nepse('live')), float)
        self.assertIsInstance(float(all_data.send_req_nepse('percent_change')), float)
        self.assertIsInstance(all_data.send_req_nepse('status'), dict)

    def test_news(self) -> None:
        """
            tests if the news are in a list
        """
        self.assertIsInstance(all_data.send_req_news(), list)

    def test_scrip_data(self) -> None:
        """
            tests if scrip data is a tuple of floats
        """
        scrip_data = all_data.send_req_scrip_data('adbl')
        self.assertIsInstance(scrip_data, tuple)
        for val in scrip_data:
            self.assertIsInstance(val, float)

    def test_top_stocks(self) -> None:
        """
            tests if the top stocks data is in list format
        """
        n = 5
        field = 'gainer'
        field2 = 'looser'
        for i in range(n):
            self.assertIsInstance(all_data.send_req_top_stocks(i, field), list)

        for i in range(n):
            self.assertIsInstance(all_data.send_req_top_stocks(i, field2), list)

    def test_indices(self) -> None:
        """
            tests is indices data is in dictionary fomat
        """
        self.assertIsInstance(all_data.send_req_indices('devbank'), dict)

if __name__ == '__main__':
    unittest.main()