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_action_genre_rating(self):
        """Check that all 'Action' genre movies with rating >= 7 are included, and none below 7 are present."""
        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)
        action_rows = df[df['genre'] == 'Action']
        all_above_7 = (action_rows['rating'] >= 7).all() if not action_rows.empty else True
        # Check that all Action movies in table with rating >= 7 are present
        self.cursor.execute("SELECT * FROM movies WHERE genre = 'Action' AND rating >= 7")
        expected = self.cursor.fetchall()
        cond = all_above_7 and len(action_rows) == len(expected)
        _dynamic_test(self, cond, "All 'Action' movies with rating >= 7 are included, and none below 7 are present.", "Action genre filtering failed.")

    def test_comedy_genre_rating(self):
        """Check that all 'Comedy' genre movies with rating >= 6 are included, and none below 6 are present."""
        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)
        comedy_rows = df[df['genre'] == 'Comedy']
        all_above_6 = (comedy_rows['rating'] >= 6).all() if not comedy_rows.empty else True
        # Check that all Comedy movies in table with rating >= 6 are present
        self.cursor.execute("SELECT * FROM movies WHERE genre = 'Comedy' AND rating >= 6")
        expected = self.cursor.fetchall()
        cond = all_above_6 and len(comedy_rows) == len(expected)
        _dynamic_test(self, cond, "All 'Comedy' movies with rating >= 6 are included, and none below 6 are present.", "Comedy genre filtering failed.")

    def test_other_genre_rating(self):
        """Check that all non-Action, non-Comedy genre movies with rating >= 8 are included, and none below 8 are present."""
        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)
        other_rows = df[~df['genre'].isin(['Action', 'Comedy'])]
        all_above_8 = (other_rows['rating'] >= 8).all() if not other_rows.empty else True
        # Check that all such movies in table with rating >= 8 are present
        self.cursor.execute("SELECT * FROM movies WHERE genre NOT IN ('Action', 'Comedy') AND rating >= 8")
        expected = self.cursor.fetchall()
        cond = all_above_8 and len(other_rows) == len(expected)
        _dynamic_test(self, cond, "All non-Action, non-Comedy movies with rating >= 8 are included, and none below 8 are present.", "Other genre filtering failed.")

    def test_excluded_movies(self):
        """Check that no movies that fail the genre-specific criteria are included."""
        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)
        # Action < 7
        action_fail = df[(df['genre'] == 'Action') & (df['rating'] < 7)]
        # Comedy < 6
        comedy_fail = df[(df['genre'] == 'Comedy') & (df['rating'] < 6)]
        # Others < 8
        other_fail = df[(~df['genre'].isin(['Action', 'Comedy'])) & (df['rating'] < 8)]
        cond = action_fail.empty and comedy_fail.empty and other_fail.empty
        _dynamic_test(self, cond, "No movies included that fail the genre-specific rating criteria.", "One or more movies included that do not meet the genre-specific criteria.")

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：ジャンル別映画選択

解答