
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import io
from contextlib import redirect_stdout
import pandas as pd

class TestTask(unittest.TestCase):
    def setUp(self):
        self.df = pd.DataFrame({
            "product": ["A", "B", "C", "D", "A", "B", "C", "D"],
            "sales": [100, 200, 50, 25, 150, 50, 75, 100]
        })
        self.expected_totals = {'A': 250, 'B': 250, 'C': 125, 'D': 125}

    def test_groupby_total_sales(self):
        import user_code
        # User must group by product and sum sales
        df = self.df.copy()
        try:
            grouped = df.groupby('product')['sales'].sum()
        except Exception:
            grouped = None
        # Check that grouping and sum works
        _dynamic_test(
            self,
            grouped is not None and all(grouped.get(k) == v for k, v in self.expected_totals.items()),
            "Groups and sums sales for each product correctly",
            f"Expected totals: {self.expected_totals}, got: {grouped.to_dict() if grouped is not None else None}"
        )

    def test_sorting_descending(self):
        import user_code
        # User must sort totals descending
        df = self.df.copy()
        grouped = df.groupby('product')['sales'].sum()
        sorted_sales = grouped.sort_values(ascending=False)
        # Check that order is correct
        expected_order = ['A', 'B', 'C', 'D']
        _dynamic_test(
            self,
            list(sorted_sales.index)[:2] == expected_order[:2],
            "Sorts products by total sales in descending order",
            f"Expected order: {expected_order}, got: {list(sorted_sales.index)}"
        )

    def test_prints_top_and_bottom_products(self):
        import user_code
        import importlib
        import sys
        import builtins
        import io
        import pandas as pd
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.report_top_bottom_products(self.df)
        output = normalize_text(f.getvalue())
        # Check top 2
        expected_top = normalize_text("Top 2 products by total sales:\\nA    250\\nB    250")
        expected_bottom = normalize_text("Bottom 2 products by total sales:\\nC    125\\nD    125")
        _dynamic_test(
            self,
            expected_top in output,
            "Prints correct top 2 products by total sales",
            f"Expected output with top 2: '{expected_top}' not found in output: '{output}'"
        )
        _dynamic_test(
            self,
            expected_bottom in output,
            "Prints correct bottom 2 products by total sales",
            f"Expected output with bottom 2: '{expected_bottom}' not found in output: '{output}'"
        )

    def test_handles_different_data(self):
        import user_code
        import importlib
        import io
        df2 = pd.DataFrame({
            "product": ["X", "Y", "Z", "X", "Y", "Z", "X", "Y"],
            "sales": [10, 20, 5, 40, 10, 5, 5, 10]
        })
        # Totals: X:55, Y:40, Z:10
        f = io.StringIO()
        importlib.reload(user_code)
        with redirect_stdout(f):
            user_code.report_top_bottom_products(df2)
        output = normalize_text(f.getvalue())
        expected_top = normalize_text("Top 2 products by total sales:\\nX    55\\nY    40")
        expected_bottom = normalize_text("Bottom 2 products by total sales:\\nY    40\\nZ    10")
        _dynamic_test(
            self,
            expected_top in output,
            "Handles different data and prints correct top 2",
            f"Expected top 2 output: '{expected_top}', got: '{output}'"
        )
        _dynamic_test(
            self,
            expected_bottom in output,
            "Handles different data and prints correct bottom 2",
            f"Expected bottom 2 output: '{expected_bottom}', got: '{output}'"
        )

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()

def change_var(code: str, var_name: str, value: str) -> str:
    tree = ast.parse(code)
    lines = code.splitlines()
    changed = False
    # Collect all assignment nodes to modify
    assign_nodes = [
        (i, node)
        for i, node in enumerate(tree.body)
        if isinstance(node, ast.Assign)
        and any(isinstance(target, ast.Name) and target.id == var_name for target in node.targets)
    ]

    # If nothing to change, return unmodified code
    if not assign_nodes:
        return code

    # Perform replacements for all matching assignments (from last to first to not break line offsets)
    for i, node in reversed(assign_nodes):
        start_line = node.lineno - 1
        line = lines[start_line]
        indent = ' ' * (len(line) - len(line.lstrip()))
        lines[start_line] = f"{indent}{var_name} = {value}"
        next_line = len(lines)
        for next_node in tree.body[i+1:]:
            if hasattr(next_node, 'lineno'):
                next_line = next_node.lineno - 1
                break
        if next_line > start_line + 1:
            lines[start_line+1:next_line] = []
        changed = True

    return '\\n'.join(lines) if changed else code

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


test_main.py

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Learn to automate the generation of analytical summaries, business reports, and visual dashboards using Python. Alternate between concept introduction and hands-on automation tasks for real-world reporting scenarios.

Challenge: Identify Top and Bottom Products

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