import unittest
import psycopg2
import pandas as pd

class TestPostgresQuery(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls.connection = psycopg2.connect(
            host="localhost",
            user="agent",
            password="qwerty",
            dbname="testdb",
            sslmode="disable"
        )
        cls.cursor = cls.connection.cursor()

    def test_completed_count(self):
        """Check if completed_count is correct."""
        with open("query.sql", "r") as file:
            query = file.read()

        self.cursor.execute(query)
        row = self.cursor.fetchone()
        completed_count = row[0]
        _dynamic_test(
            self,
            completed_count == 5,
            "completed_count is correct (5)",
            f"completed_count is not correct. Expected 5, got {completed_count}."
        )

    def test_pending_count(self):
        """Check if pending_count is correct."""
        with open("query.sql", "r") as file:
            query = file.read()

        self.cursor.execute(query)
        row = self.cursor.fetchone()
        pending_count = row[1]
        _dynamic_test(
            self,
            pending_count == 3,
            "pending_count is correct (3)",
            f"pending_count is not correct. Expected 3, got {pending_count}."
        )

    def test_failed_count(self):
        """Check if failed_count is correct."""
        with open("query.sql", "r") as file:
            query = file.read()

        self.cursor.execute(query)
        row = self.cursor.fetchone()
        failed_count = row[2]
        _dynamic_test(
            self,
            failed_count == 2,
            "failed_count is correct (2)",
            f"failed_count is not correct. Expected 2, got {failed_count}."
        )

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

def normalize_text(text):
    text = text.lower()
    text = re.sub(r"\\s{2,}", " ", text)
    text = re.sub(r"\\s*([,:?])\\s*", r"\\1 ", text)
    return text.strip()

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


test_solution.py

Master the use of built-in SQL functions to manipulate strings, dates, numbers, logical values, nulls, and JSON data. This module provides a hands-on approach to understanding and applying SQL functions in real-world scenarios, enhancing your data querying and transformation skills.

Explore SQL's powerful string functions for manipulating and analyzing textual data in databases.

Challenge: Summarize Transaction Status

Ratkaisu