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

class TestTask(unittest.TestCase):
    def setUp(self):
        # Prepare the DataFrame
        self.data = {
            "Time": ["2024-06-01", "2024-06-02", "2024-06-03", "2024-06-04", "2024-06-05"],
            "DeviceA": [88, 90, 85, 87, 92],
            "DeviceB": [78, 80, 79, 82, 81],
            "DeviceC": [95, 94, 96, 97, 98]
        }
        self.df = pd.DataFrame(self.data)

    def test_plot_lines_and_labels(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        # Call user's function
        user_code.plot_device_performance(self.df)
        # Get current axes
        ax = plt.gca()
        # Check title
        _dynamic_test(
            self,
            ax.get_title() and "performance" in ax.get_title().lower(),
            "Chart has a descriptive title",
            f"Expected a descriptive title, got: '{ax.get_title()}'",
        )
        # Check x/y labels
        _dynamic_test(
            self,
            ax.get_xlabel() and "time" in ax.get_xlabel().lower(),
            "X-axis is labeled appropriately",
            f"Expected x-axis labeled with 'Time', got: '{ax.get_xlabel()}'",
        )
        _dynamic_test(
            self,
            ax.get_ylabel() and ("performance" in ax.get_ylabel().lower()),
            "Y-axis is labeled appropriately",
            f"Expected y-axis labeled with 'Performance Metric', got: '{ax.get_ylabel()}'",
        )
        # Check number of lines
        lines = ax.get_lines()
        _dynamic_test(
            self,
            len(lines) == 3,
            "Three lines plotted for three devices",
            f"Expected 3 lines, got {len(lines)}",
        )

    def test_plot_colors(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        user_code.plot_device_performance(self.df)
        ax = plt.gca()
        lines = ax.get_lines()
        # The order of lines is DeviceA, DeviceB, DeviceC
        color_map = ["blue", "green", "red"]
        for idx, expected_color in enumerate(color_map):
            actual_color = lines[idx].get_color()
            _dynamic_test(
                self,
                actual_color == expected_color,
                f"Device {chr(65+idx)} line is {expected_color}",
                f"Expected color '{expected_color}' for Device {chr(65+idx)}, got '{actual_color}'",
            )

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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Challenge: Plot Device Performance

Solução

Challenge: Plot Device Performance

Solução