In this challenge, you will use the Open-Meteo API to retrieve current weather data for Berlin and display key information. The Open-Meteo API provides weather data for any location specified by latitude and longitude. For Berlin, the latitude is 52.52 and the longitude is 13.41. Your goal is to fetch the current temperature and wind speed for Berlin and print them in a specific format. This exercise will reinforce your skills in making HTTP requests, parsing JSON responses, and extracting relevant data from APIs.


import unittest
import user_code
import ast
import re   
import unittest
import importlib
import io
from contextlib import redirect_stdout
import sys

class MockResponse:
    def __init__(self, json_data):
        self._json_data = json_data
    def json(self):
        return self._json_data

def _mock_requests_get(*args, **kwargs):
    mock_response = {
        "current_weather": {
            "temperature": 17.5,
            "windspeed": 4.8
        }
    }
    return MockResponse(mock_response)

class TestTask(unittest.TestCase):
    def setUp(self):
        # Patch requests.get
        self._real_requests = sys.modules.get('requests')
        import types
        self.requests_mock = types.SimpleNamespace(**vars(self._real_requests))
        self._orig_get = self._real_requests.get
        self._real_requests.get = _mock_requests_get

    def tearDown(self):
        # Restore requests.get
        if self._real_requests:
            self._real_requests.get = self._orig_get

    def test_temperature_extraction(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.fetch_berlin_weather()
        output = f.getvalue()
        _dynamic_test(
            self,
            "17.5" in output,
            "Temperature value is correctly extracted from API response.",
            f"Temperature value 17.5 not found in output: {output}"
        )

    def test_windspeed_extraction(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.fetch_berlin_weather()
        output = f.getvalue()
        _dynamic_test(
            self,
            "4.8" in output,
            "Windspeed value is correctly extracted from API response.",
            f"Windspeed value 4.8 not found in output: {output}"
        )

    def test_output_format(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.fetch_berlin_weather()
        output = normalize_text(f.getvalue())
        expected = normalize_text("Temperature: 17.5°C, Wind Speed: 4.8 m/s")
        _dynamic_test(
            self,
            expected in output,
            "Output format matches required format.",
            f"Expected output '{expected}' not found in: {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()
    for i, node in enumerate(tree.body):
        if isinstance(node, ast.Assign):
            for target in node.targets:
                if isinstance(target, ast.Name) and target.id == var_name:
                    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] = []
                    
                    return '\\n'.join(lines)
    return code

if __name__ == "__main__":
    unittest.main()


test_main.py

Learn how to interact with open APIs using Python, process and analyze data from real-world web services, and build practical applications without the need for registration or payment. This course is designed for intermediate Python learners eager to expand their skills in data retrieval and manipulation using APIs.

Learn the core concepts of APIs, how to make HTTP requests in Python, and how to handle responses from open APIs.

Dive deeper into working with open APIs by retrieving and analyzing public data, such as weather and space information.

Apply advanced techniques for working with APIs, including handling query parameters, processing lists of data, and basic data visualization.

Challenge: Weather Data Analyzer

Ratkaisu

Challenge: Weather Data Analyzer

Ratkaisu