Develop a Python script that automates the process of fetching climate data from the European Climate Assessment & Dataset (ECA&D) website. The primary goal is to fetch the data directly using Python code. If this proves challenging, an alternative approach of manually downloading and then uploading it to an S3 bucket can be considered as a backup solution.
Save the fetched data locally in a specified format (e.g., CSV).
If fetching the data directly is difficult:
Provide clear instructions on how to manually download the data from the ECA&D website.
Include a Python script that uploads the manually downloaded data to an S3 bucket (backup solution).
Details:
Ensure the script is well-documented and includes error handling.
If the direct fetching method is used, ensure the script handles authentication (if required) and any necessary data parsing.
Acceptance Criteria:
A Python script that successfully fetches data from the ECA&D website and saves it locally.
Clear documentation and instructions included in the README.md file.
The code is committed and pushed to the GitHub repository.
Additional Notes:
Please make sure to test the script with sample data to ensure it works as expected.
Include any additional dependencies or setup steps required in the documentation.
Example:
Here is an example of a possible implementation approach for fetching data directly:
import requests
def fetch_data(url, local_filename):
try:
response = requests.get(url)
response.raise_for_status() # Check for request errors
with open(local_filename, 'wb') as file:
file.write(response.content)
print(f"Data fetched and saved to {local_filename}")
except requests.exceptions.RequestException as e:
print(f"Error fetching data: {e}")
if __name__ == "__main__":
url = 'https://www.ecad.eu/download/data.csv' # Example URL, replace with the actual URL
local_filename = 'data.csv'
fetch_data(url, local_filename)
Feel free to refine and improve this example script as needed.
Develop a Python script that automates the process of fetching climate data from the European Climate Assessment & Dataset (ECA&D) website. The primary goal is to fetch the data directly using Python code. If this proves challenging, an alternative approach of manually downloading and then uploading it to an S3 bucket can be considered as a backup solution.
Requirements:
Details:
Acceptance Criteria:
Additional Notes:
Example:
Here is an example of a possible implementation approach for fetching data directly:
Feel free to refine and improve this example script as needed.