
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import sys
import io
import pandas as pd

class TestTask(unittest.TestCase):
    def setUp(self):
        self.user_code = importlib.import_module("user_code")

    def test_dataframe_structure(self):
        # Patch print to capture DataFrame output
        f = io.StringIO()
        sys.stdout = f
        importlib.reload(self.user_code)
        sys.stdout = sys.__stdout__
        output = f.getvalue()

        # Look for DataFrame in user code
        # We'll check if at least 3 unique regions and both columns exist in the output
        # We'll check for region names in output
        regions = ["north", "south", "east", "west"]
        found_regions = [r for r in regions if r in output.lower()]
        has_region_col = "region" in output.lower()
        has_sales_col = "sales" in output.lower()
        _dynamic_test(
            self,
            has_region_col and has_sales_col and len(found_regions) >= 3,
            "DataFrame contains at least three unique regions and correct columns.",
            f"Expected at least three unique region names and columns 'region' and 'sales' in output. Output: {output}",
        )

    def test_prints_summary_table(self):
        f = io.StringIO()
        sys.stdout = f
        importlib.reload(self.user_code)
        sys.stdout = sys.__stdout__
        output = f.getvalue().strip()
        _dynamic_test(
            self,
            len(output) > 0,
            "Function prints a summary table.",
            "No summary table was printed.",
        )

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: Generate Regional Sales Report

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