Ensuring **meta tags** meet SEO guidelines is a common audit step for SEO specialists. You often need to verify that the **meta title** and **meta description** of a page fall within recommended character limits to maximize visibility and click-through rates. Automating this process with `Python` can save time and reduce manual errors.


import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib

class TestTask(unittest.TestCase):
    def test_returns_dictionary_with_correct_keys(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head><title>Title for SEO Testing</title><meta name='description' content='This is a sample meta description for SEO compliance checking in Python.'></head></html>
        """
        result = user_code.check_meta_compliance(html)
        _dynamic_test(self,
            isinstance(result, dict) and "title" in result and "description" in result,
            "Returned dictionary contains 'title' and 'description' keys",
            f"Returned dictionary missing expected keys: {result}",
        )

    def test_inner_dict_has_length_and_compliant(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head><title>SEO Title Example</title><meta name='description' content='A meta description that is long enough to pass the SEO compliance check.'></head></html>
        """
        result = user_code.check_meta_compliance(html)
        for key in ["title", "description"]:
            inner = result.get(key)
            _dynamic_test(self,
                isinstance(inner, dict) and "length" in inner and "compliant" in inner,
                f"Returned inner dictionary for '{key}' contains 'length' and 'compliant'",
                f"Returned inner dictionary for '{key}' missing required keys: {inner}",
            )

    def test_title_length_and_compliance(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head><title>This title is exactly thirty characters!!</title></head></html>
        """
        result = user_code.check_meta_compliance(html)
        title_info = result.get("title")
        expected_length = len("This title is exactly thirty characters!!")
        _dynamic_test(self,
            title_info is not None and title_info["length"] == expected_length,
            "Title length matches extracted content",
            f"Expected title length {expected_length}, got {title_info}",
        )
        _dynamic_test(self,
            title_info is not None and title_info["compliant"] == (30 <= expected_length <= 60),
            "Title compliance correctly determined",
            f"Expected compliance {(30 <= expected_length <= 60)}, got {title_info}",
        )

    def test_description_length_and_compliance(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head><meta name="description" content="This is a meta description that is exactly seventy characters long for testing."></head></html>
        """
        result = user_code.check_meta_compliance(html)
        desc_info = result.get("description")
        expected_length = len("This is a meta description that is exactly seventy characters long for testing.")
        _dynamic_test(self,
            desc_info is not None and desc_info["length"] == expected_length,
            "Description length matches extracted content",
            f"Expected description length {expected_length}, got {desc_info}",
        )
        _dynamic_test(self,
            desc_info is not None and desc_info["compliant"] == (70 <= expected_length <= 160),
            "Description compliance correctly determined",
            f"Expected compliance {(70 <= expected_length <= 160)}, got {desc_info}",
        )

    def test_non_compliant_title_and_description(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head><title>Short</title><meta name="description" content="Too short."></head></html>
        """
        result = user_code.check_meta_compliance(html)
        title_info = result.get("title")
        desc_info = result.get("description")
        _dynamic_test(self,
            title_info is not None and title_info["compliant"] == False,
            "Title correctly marked as non-compliant when too short",
            f"Expected non-compliant title, got {title_info}",
        )
        _dynamic_test(self,
            desc_info is not None and desc_info["compliant"] == False,
            "Description correctly marked as non-compliant when too short",
            f"Expected non-compliant description, got {desc_info}",
        )

    def test_missing_tags(self):
        import user_code
        importlib.reload(user_code)
        html = "<html><head></head><body>No meta tags here.</body></html>"
        result = user_code.check_meta_compliance(html)
        title_info = result.get("title")
        desc_info = result.get("description")
        _dynamic_test(self,
            title_info is not None and title_info["length"] == 0 and title_info["compliant"] == False,
            "Missing title returns length 0 and non-compliant",
            f"Expected title length 0 and non-compliant, got {title_info}",
        )
        _dynamic_test(self,
            desc_info is not None and desc_info["length"] == 0 and desc_info["compliant"] == False,
            "Missing description returns length 0 and non-compliant",
            f"Expected description length 0 and non-compliant, got {desc_info}",
        )

    def test_uppercase_and_whitespace(self):
        import user_code
        importlib.reload(user_code)
        html = """
        <html><head>
        <TITLE>   This is a Title with Whitespace   </TITLE>
        <META NAME="DESCRIPTION" CONTENT="   This description has leading and trailing spaces.   ">
        </head></html>
        """
        result = user_code.check_meta_compliance(html)
        title_info = result.get("title")
        desc_info = result.get("description")
        expected_title = "This is a Title with Whitespace"
        expected_desc = "This description has leading and trailing spaces."
        _dynamic_test(self,
            title_info is not None and title_info["length"] == len(expected_title),
            "Title length trims whitespace correctly",
            f"Expected title length {len(expected_title)}, got {title_info}",
        )
        _dynamic_test(self,
            desc_info is not None and desc_info["length"] == len(expected_desc),
            "Description length trims whitespace correctly",
            f"Expected description length {len(expected_desc)}, got {desc_info}",
        )

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: Meta Tag Compliance Checker

Solução