Understanding which products are driving the most revenue is crucial for business analysts. By identifying top performers, you can make informed recommendations about where to focus marketing efforts, allocate inventory, or adjust pricing strategies. This targeted approach helps businesses maximize returns and streamline resource allocation, ensuring that high-impact products receive the attention they deserve.


import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib

class TestTask(unittest.TestCase):
    def test_top_3_products(self):
        import user_code
        importlib.reload(user_code)
        summary_dict = {
            "Product A": 15000,
            "Product B": 22000,
            "Product C": 18000,
            "Product D": 9000,
            "Product E": 12000
        }
        result = user_code.top_products_by_revenue(summary_dict)
        expected = ["Product B", "Product C", "Product A"]
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            f"Returns top 3 product names by revenue, sorted from highest to lowest: {expected}",
            f"Expected {expected}, got {result}"
        )

    def test_fewer_than_3_products(self):
        import user_code
        importlib.reload(user_code)
        summary_dict = {
            "Gadget": 5000,
            "Widget": 7000,
            "Thingamajig": 3000
        }
        result = user_code.top_products_by_revenue(summary_dict)
        expected = ["Widget", "Gadget", "Thingamajig"]
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            f"Returns all product names sorted by revenue when fewer than 3 products: {expected}",
            f"Expected {expected}, got {result}"
        )

    def test_equal_revenues(self):
        import user_code
        importlib.reload(user_code)
        summary_dict = {
            "Alpha": 10000,
            "Beta": 10000,
            "Gamma": 9000,
            "Delta": 10000
        }
        result = user_code.top_products_by_revenue(summary_dict)
        # Since revenues are equal, order should be preserved as in sorted result
        expected = ["Alpha", "Beta", "Delta"]
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            f"Handles equal revenues, returns first 3 sorted by revenue: {expected}",
            f"Expected {expected}, got {result}"
        )

    def test_empty_dict(self):
        import user_code
        importlib.reload(user_code)
        summary_dict = {}
        result = user_code.top_products_by_revenue(summary_dict)
        expected = []
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Returns empty list for empty dictionary",
            f"Expected empty list, got {result}"
        )

    def test_single_product(self):
        import user_code
        importlib.reload(user_code)
        summary_dict = {"Solo": 12345}
        result = user_code.top_products_by_revenue(summary_dict)
        expected = ["Solo"]
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Returns single product name in list when only one product is present",
            f"Expected {expected}, got {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()

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

Unlock the power of Python to solve real-world business analysis problems. This course guides business analysts through practical Python applications, from data wrangling and visualization to automating reports and uncovering insights. Each section blends engaging theory with hands-on challenges inspired by business scenarios.

Learn how to use Python to clean, transform, and summarize business data for analysis. This section focuses on practical data wrangling skills essential for business analysts.

Discover how to use Python to create compelling visualizations that help communicate business insights effectively.

Harness Python to automate repetitive business analysis tasks, from generating reports to extracting actionable insights.

Challenge: Identify Top Products

Løsning