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

class TestTask(unittest.TestCase):
    def setUp(self):
        self.df = pd.DataFrame({
            'event_timestamp': pd.to_datetime([
                '2024-06-01 08:00:00',
                '2024-06-01 08:10:00',
                '2024-06-01 08:20:00',
                '2024-06-01 09:00:00'
            ]),
            'processing_duration': [30, 45, 50, 40]
        })

    def test_average_processing_time(self):
        import user_code
        importlib.reload(user_code)
        # Patch print to capture output
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.report_operational_metrics(self.df)
        output = normalize_text(f.getvalue())
        expected_avg = round(sum([30, 45, 50, 40]) / 4, 2)
        _dynamic_test(
            self,
            f"average processing time: {expected_avg:.2f} seconds" in output,
            f"Prints correct average processing time rounded to two decimals: {expected_avg}",
            f"Average processing time not correct in output: {output}"
        )

    def test_time_range_and_throughput(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.report_operational_metrics(self.df)
        output = normalize_text(f.getvalue())
        # The time range in hours:
        start = pd.to_datetime('2024-06-01 08:00:00')
        end = pd.to_datetime('2024-06-01 09:00:00')
        total_seconds = (end - start).total_seconds()
        total_hours = total_seconds / 3600 if total_seconds > 0 else 1
        expected_throughput = round(4 / total_hours, 2)
        _dynamic_test(
            self,
            f"throughput: {expected_throughput:.2f} events per hour" in output,
            f"Prints correct throughput rounded to two decimals: {expected_throughput}",
            f"Throughput not correct in output: {output}"
        )

    def test_report_format(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.report_operational_metrics(self.df)
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "average processing time:" in output and "throughput:" in output,
            "Output contains both average processing time and throughput labels",
            f"Output missing required labels: {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: Report Key Operational Metrics

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