Scenario

A weather API provides forecast data in JSON format with nested temperature information. You need to extract temperature values from the response and save them for analysis.

Task

Write a Python script at /home/interview/extract_temps.py that fetches weather data from the mock API at http://api.weather.local/weather, extracts all temperature values from the nested forecast structure, and saves them as a JSON list to /home/interview/temperatures.json.

Example

Expected output format in /home/interview/temperatures.json:

["12C", "22C", "18C", "10C", ...]

Step 1: Test the API endpoint

curl http://api.weather.local/weather

Review the JSON structure to understand how temperature data is nested.

Step 2: Create the Python script

nano /home/interview/extract_temps.py

Write a script that fetches the API data, extracts all temperature values, and saves them:

import requests
import json

# Fetch weather data from API
response = requests.get('http://api.weather.local/weather')
data = response.json()

# Extract all temperature values from nested structure
temperatures = []

for day in data['forecast']['daily']:
    temp_data = day['temperature']
    temperatures.append(temp_data['morning'])
    temperatures.append(temp_data['afternoon'])
    temperatures.append(temp_data['evening'])
    temperatures.append(temp_data['night'])

# Save as JSON list
with open('/home/interview/temperatures.json', 'w') as f:
    json.dump(temperatures, f, indent=2)

print(f"Extracted {len(temperatures)} temperature values")

Step 3: Run the script

python3 /home/interview/extract_temps.py

Step 4: Verify the output

cat /home/interview/temperatures.json

Should show a JSON array with 20 temperature strings.