Oldest products of CAMS_EU_AIR_QUALITY_FORECAST are removed each day

[anesson-cs]

Describe the bug
While listing queryables of CAMS_EU_AIR_QUALITY_FORECAST, an error is raised if the missionStartDate of the product type is not updated each day in the configuration

Code To Reproduce

    try:
        dag.list_queryables(productType="CAMS_EU_AIR_QUALITY_FORECAST", provider="cop_ads")
    except Exception as exc:
        print(f"Error when calling list_queryables with {product_type_id}: {exc}")

Output
Error when calling list_queryables with CAMS_EU_AIR_QUALITY_FORECAST: ecmwf:date=['2022-01-03/2022-01-04'] is not available with ecmwf:variable=ammonia, ecmwf:model=ensemble, ecmwf:level=0. Allowed values are 2023-07-14, 2023-10-23/2023-10-25, 2024-11-13/2024-11-17, 2022-03-02, 2023-03-03, 2023-10-26/2023-10-29, 2023-10-21, 2025-01-09, 2023-07-16/2023-08-31, 2023-08-16/2023-10-22, 2023-03-06/2023-03-07, 2023-07-11, 2022-12-14, 2023-07-19, 2022-12-15/2022-12-21, 2023-10-06, 2022-11-13/2022-11-21, 2022-11-01, 2022-11-10, 2024-04-22/2024-10-27, 2023-04-14/2023-06-08, 2022-11-22/2022-11-30, 2022-02-22, 2022-03-23/2022-05-22, 2022-11-03/2022-11-10, 2024-11-29/2024-12-02, 2022-03-23, 2022-10-26, 2023-06-14, 2022-12-06/2022-12-13, 2022-08-22/2022-10-25, 2023-09-29, 2023-07-15, 2023-07-20/2023-08-14, 2022-01-04/2022-01-12, 2022-11-11/2022-11-12, 2023-10-07/2023-10-20, 2023-04-05, 2022-10-27/2022-10-31, 2022-01-04/2022-02-21, 2022-03-24/2022-05-14, 2022-03-22, 2023-11-17, 2023-09-30/2023-10-05, 2023-12-03/2024-04-08, 2022-02-23/2022-03-01, 2022-11-21, 2023-10-30, 2022-11-02/2022-11-05, 2023-03-04/2023-03-05, 2023-10-31/2023-11-02, 2023-11-23/2023-11-29, 2023-06-15/2023-07-13, 2024-10-28, 2023-06-09, 2022-10-27, 2023-02-07/2023-04-04, 2024-01-18, 2023-06-16, 2024-12-03/2025-01-08, 2022-10-28/2022-11-01, 2022-06-15/2022-10-26, 2023-11-27, 2023-02-01/2023-02-18, 2023-11-22, 2022-11-11/2022-11-20, 2022-12-24/2023-01-20, 2023-01-20/2023-01-31, 2023-02-06, 2023-11-28/2023-12-01, 2023-10-22/2023-11-16, 2022-08-18/2022-08-21, 2022-02-24, 2022-05-24/2022-06-13, 2023-11-11/2023-11-19, 2022-11-02, 2023-03-26, 2022-12-21/2023-01-19, 2023-11-20/2023-11-21, 2023-12-01/2024-01-17, 2023-07-14/2023-07-18, 2023-04-12/2023-04-13, 2023-06-17/2023-07-10, 2022-12-01/2022-12-05, 2022-06-14/2022-08-17, 2023-01-21, 2023-02-19, 2022-12-22/2022-12-23, 2023-09-02/2023-09-20, 2022-02-25/2022-03-21, 2022-12-20, 2023-11-18/2023-11-20, 2022-05-16/2022-06-14, 2022-11-07/2022-11-09, 2024-12-02/2025-01-07, 2023-01-26/2023-02-05, 2023-06-10/2023-06-11, 2023-09-01, 2023-04-06/2023-06-13, 2023-11-04/2023-11-09, 2023-03-08/2023-03-25, 2023-07-12, 2023-01-22/2023-01-24, 2023-11-30, 2023-11-22/2023-11-26, 2024-11-18/2024-11-28, 2022-01-14/2022-01-20, 2023-02-20/2023-03-02, 2023-09-22/2023-09-28, 2023-11-03, 2022-11-22/2022-12-08, 2023-01-25, 2022-11-06, 2023-03-27/2023-04-11, 2023-06-13/2023-06-15, 2022-12-09, 2023-08-15, 2024-08-12/2024-11-12, 2024-11-29/2024-12-01, 2023-09-21, 2022-01-22/2022-02-23, 2024-08-11, 2023-07-13, 2024-04-09/2024-04-11, 2023-06-12, 2024-10-29/2024-11-28, 2022-03-03/2022-03-22, 2024-04-12/2024-04-20, 2023-11-21, 2022-01-13, 2022-01-21, 2023-11-10, 2022-05-15, 2024-01-19/2024-08-10, 2022-12-10/2022-12-19, 2023-12-02, 2024-04-21, 2022-05-23

Environment:

• Python version: 3.12.3
• EODAG version: 3.0.0b4.dev121+g7c92c3a7

[alambare]

We could use the today's date for this specific dataset. It always has data for the current day.