import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns

class TestTask(unittest.TestCase):
    def setUp(self):
        self.df = pd.DataFrame({
            "product": ["A", "A", "A", "B", "B", "B", "C", "C", "C"],
            "region": ["East", "West", "South", "East", "West", "South", "East", "West", "South"],
            "sales": [120, 90, 60, 150, 110, 80, 100, 70, 50]
        })
        import user_code
        importlib.reload(user_code)
        self.func = getattr(user_code, 'plot_product_region_sales', None)

    def test_function_exists(self):
        _dynamic_test(
            self,
            self.func is not None and callable(self.func),
            "Function 'plot_product_region_sales' exists and is callable.",
            "Function 'plot_product_region_sales' is missing or not callable."
        )

    def test_chart_type_and_axes(self):
        plt.close('all')
        g = self.func(self.df)
        # sns.catplot returns a FacetGrid — get axes directly from it
        ax = g.ax
        found_bar = any(
            isinstance(patch, matplotlib.patches.Rectangle) and patch.get_height() > 0
            for patch in ax.patches
        )
        xlabel = normalize_text(ax.get_xlabel())
        ylabel = normalize_text(ax.get_ylabel())
        found_x = xlabel == "region"
        found_y = ylabel in ("sales amount", "sales")
        _dynamic_test(
            self,
            found_bar and found_x and found_y,
            "Grouped bar chart with correct axes labels is created.",
            f"Expected grouped bar chart with 'region' x-axis and 'sales' y-axis, got x: '{xlabel}', y: '{ylabel}'."
        )

    def test_legend_title(self):
        plt.close('all')
        g = self.func(self.df)
        # In newer seaborn, add_legend() places legend on FacetGrid level (g.legend),
        # not on ax — check both locations
        leg = getattr(g, 'legend', None) or g.ax.get_legend()
        if leg is None:
            for ax in g.fig.get_axes():
                if ax.get_legend() is not None:
                    leg = ax.get_legend()
                    break
        legend_title = leg.get_title().get_text() if leg is not None else None
        _dynamic_test(
            self,
            legend_title is not None and normalize_text(legend_title) == "product",
            "Legend title is correctly set to 'Product'.",
            f"Legend title is missing or incorrect: '{legend_title}'"
        )

    def test_chart_title(self):
        plt.close('all')
        g = self.func(self.df)
        # suptitle lives on the FacetGrid's fig
        suptitle = g.fig._suptitle.get_text() if g.fig._suptitle else None
        _dynamic_test(
            self,
            suptitle is not None and "product" in normalize_text(suptitle) and "region" in normalize_text(suptitle),
            "Chart title includes 'Product' and 'Region'.",
            f"Chart title is missing or incomplete: '{suptitle}'"
        )

    def test_layout_adjusted(self):
        import user_code
        called = {'tight_layout': False}
        orig_tight_layout = plt.tight_layout
        def fake_tight_layout(*args, **kwargs):
            called['tight_layout'] = True
            return orig_tight_layout(*args, **kwargs)
        plt.tight_layout = fake_tight_layout
        try:
            plt.close('all')
            importlib.reload(user_code)
            func = getattr(user_code, 'plot_product_region_sales', None)
            func(self.df)
        finally:
            plt.tight_layout = orig_tight_layout
        _dynamic_test(
            self,
            called['tight_layout'],
            "Layout is adjusted using tight_layout.",
            "tight_layout was not called to adjust layout."
        )

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
    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 not assign_nodes:
        return code
    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: Visualize Product vs Region Sales

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