
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.data = {
            "sales": [200, 450, 300, 150, 500],
            "conversions": [4, 9, 6, 2, 10],
            "visits": [100, 200, 150, 80, 250]
        }
        self.df = pd.DataFrame(self.data)
        self.expected_total_sales = 200 + 450 + 300 + 150 + 500
        self.expected_avg_order = (200 + 450 + 300 + 150 + 500) / 5
        self.expected_conversion_rate = ((4 + 9 + 6 + 2 + 10) / (100 + 200 + 150 + 80 + 250)) * 100

    def test_total_sales_displayed(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_metrics_dashboard(self.df)
        output = normalize_text(f.getvalue())
        expected = normalize_text(f"Total Sales: ${self.expected_total_sales:,.2f}")
        _dynamic_test(
            self,
            expected in output,
            f"Total sales correctly displayed as {expected}",
            f"Expected total sales output: '{expected}' not found in: '{output}'",
        )

    def test_avg_order_value_displayed(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_metrics_dashboard(self.df)
        output = normalize_text(f.getvalue())
        expected = normalize_text(f"Average Order Value: ${self.expected_avg_order:,.2f}")
        _dynamic_test(
            self,
            expected in output,
            f"Average order value correctly displayed as {expected}",
            f"Expected average order value output: '{expected}' not found in: '{output}'",
        )

    def test_conversion_rate_displayed(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_metrics_dashboard(self.df)
        output = normalize_text(f.getvalue())
        expected = normalize_text(f"Conversion Rate: {self.expected_conversion_rate:.2f}%")
        _dynamic_test(
            self,
            expected in output,
            f"Conversion rate correctly displayed as {expected}",
            f"Expected conversion rate output: '{expected}' not found in: '{output}'",
        )

    def test_dashboard_format(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_metrics_dashboard(self.df)
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            normalize_text("=== Metrics Dashboard ===") in output,
            "Dashboard heading is present in output",
            "Dashboard heading missing in output",
        )
        # Check that all three metrics are present
        total_sales = normalize_text(f"Total Sales: ${self.expected_total_sales:,.2f}")
        avg_order = normalize_text(f"Average Order Value: ${self.expected_avg_order:,.2f}")
        conv_rate = normalize_text(f"Conversion Rate: {self.expected_conversion_rate:.2f}%")
        _dynamic_test(
            self,
            total_sales in output and avg_order in output and conv_rate in output,
            "All metrics are present in dashboard output",
            f"One or more metrics missing in output: {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: Build a Simple Metrics Dashboard

Task: Business Metrics Dashboard

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