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_row_count(self):
        """Check that the query returns one row per employee."""
        with open("query.sql", "r") as file:
            query = file.read()
        self.cursor.execute("SELECT COUNT(*) FROM employees")
        expected_count = self.cursor.fetchone()[0]
        self.cursor.execute(query)
        rows = self.cursor.fetchall()
        _dynamic_test(
            self,
            len(rows) == expected_count,
            "Query returns one row per employee.",
            f"Query returned {len(rows)} rows, but expected {expected_count}."
        )

    def test_earliest_salary_per_department(self):
        """Check that department_earliest_salary is correct for each employee."""
        with open("query.sql", "r") as file:
            query = file.read()
        self.cursor.execute(query)
        rows = self.cursor.fetchall()
        columns = [desc[0] for desc in self.cursor.description]
        df = pd.DataFrame(rows, columns=columns)
        for dept in df['department'].unique():
            dept_df = df[df['department'] == dept]
            self.cursor.execute(
                """
                SELECT salary FROM employees WHERE department = %s ORDER BY hire_date ASC LIMIT 1
                """,
                (dept,)
            )
            expected_earliest = float(self.cursor.fetchone()[0])
            actual_earliest_set = set(dept_df['department_earliest_salary'].astype(float))
            _dynamic_test(
                self,
                actual_earliest_set == {expected_earliest},
                f"department_earliest_salary is correct for department {dept}.",
                f"department_earliest_salary is incorrect for department {dept}. Expected {expected_earliest}, found {actual_earliest_set}."
            )

    def test_salary_difference(self):
        """Check that salary_difference is correctly computed."""
        with open("query.sql", "r") as file:
            query = file.read()
        self.cursor.execute(query)
        rows = self.cursor.fetchall()
        columns = [desc[0] for desc in self.cursor.description]
        df = pd.DataFrame(rows, columns=columns)
        for _, row in df.iterrows():
            salary = float(row['salary'])
            earliest = float(row['department_earliest_salary'])
            expected_diff = salary - earliest
            actual_diff = float(row['salary_difference'])
            _dynamic_test(
                self,
                abs(expected_diff - actual_diff) < 0.01,
                f"salary_difference is correct for employee_id {row['employee_id']}.",
                f"salary_difference is incorrect for employee_id {row['employee_id']}. Expected {expected_diff}, found {actual_diff}."
            )

    def test_window_function_used(self):
        """Check that a window function is used to determine earliest salary per department."""
        with open("query.sql", "r") as file:
            query = file.read().lower().replace('\\n', ' ')
        has_window = (
            'first_value' in query and
            'over' in query and
            'partition by' in query and
            'order by' in query
        )
        _dynamic_test(
            self,
            has_window,
            "Query uses a window function to determine earliest salary per department.",
            "Query does not use a window function to determine earliest salary per department."
        )

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

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Explore the foundational concepts of window functions, their syntax, and how they differ from traditional aggregate functions. Learn to apply basic window functions for analytics.

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Apply window functions to solve complex business problems, including advanced framing, multi-function queries, and real-world analytics.

Challenge: Salary Progression Analysis

Рішення

Challenge: Salary Progression Analysis

Рішення