sdmx1

import sdmx import os # Example agency ID; replace with a real one like 'ESTAT' (Eurostat), 'IMF', 'OECD' # Some agencies may require specific authentication or have strict rate limits. agency_id = os.environ.get('SDMX_AGENCY_ID', 'IMF') # Using IMF as a common example try: # Create a Request object for the specified agency req = sdmx.Request(agency_id) print(f"Attempting to connect to SDMX agency: {agency_id}") # Fetch available dataflows # This performs an HTTP GET request to the agency's API endpoint dataflows = req.dataflow() print(f"Successfully retrieved dataflows from {agency_id}.") print(f"First 3 dataflows from {agency_id} (ID: Name):") if dataflows.data.dataflow: for i, flow in enumerate(dataflows.data.dataflow[:3]): print(f" - {flow.id}: {flow.name.get('en', 'No English name')}") else: print(" No dataflows found.") # To fetch actual data, you would then use a specific dataflow ID and keys. # Example (commented out, as specific dataflow IDs and keys vary greatly): # # For IMF, using International Financial Statistics (IFS) dataflow, if available # if agency_id == 'IMF': # print("\nAttempting to fetch data from IMF (example).") # data = req.get_data( # resource_id='IFS', # key={'REF_AREA': ['US', 'CN'], 'INDICATOR': ['LP_CPI_IX']}, # params={'startPeriod': '2020', 'endPeriod': '2022'} # ) # print(f"Fetched {len(data.series)} series from IFS.") except sdmx.api.APIError as e: print(f"Error connecting to or fetching data from {agency_id}: {e}") print("Possible causes: invalid agency ID, network issues, API rate limits, or specific API endpoint errors.") except Exception as e: print(f"An unexpected error occurred: {e}")