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_all_customers_present(self):
        """Check that every customer_id in transactions appears in the result."""
        with open("query.sql", "r") as file:
            query = file.read()
        self.cursor.execute("SELECT DISTINCT customer_id FROM transactions")
        expected_customers = set(row[0] for row in self.cursor.fetchall())
        self.cursor.execute(query)
        rows = self.cursor.fetchall()
        result_customers = set(row[0] for row in rows)
        condition = expected_customers == result_customers
        _dynamic_test(
            self,
            condition,
            "All customer_id values are present in the result.",
            f"Missing or extra customer_id values. Expected: {expected_customers}, Got: {result_customers}"
        )

    def test_high_value_transaction_count_correct(self):
        """Check that high_value_transaction_count is correct for each customer."""
        with open("query.sql", "r") as file:
            query = file.read()
        # Get expected result using user solution
        self.cursor.execute(query)
        user_rows = self.cursor.fetchall()
        user_result = {row[0]: row[1] for row in user_rows}
        # Build expected result
        self.cursor.execute("SELECT customer_id, SUM(CASE WHEN amount >= 1000 THEN 1 ELSE 0 END) AS high_value_transaction_count FROM transactions GROUP BY customer_id;")
        expected_rows = self.cursor.fetchall()
        expected_result = {row[0]: row[1] for row in expected_rows}
        condition = user_result == expected_result
        _dynamic_test(
            self,
            condition,
            "high_value_transaction_count is correct for all customers.",
            f"Expected: {expected_result}, Got: {user_result}"
        )

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

SQLにおけるCASE WHEN文を基礎的な条件分岐からデータ分析・レポーティングでの高度な活用例まで習得できる包括的なモジュールです。理論と実践的な課題を通じて、複雑なビジネス要件に対応する表現力豊かなクエリの作成方法を学びます。

CASE WHEN文の基本、構文、およびSQLクエリでの単純な条件付きロジックへの活用方法を学習します。

チャレンジ：高額取引件数

解答