`filter_temporal` not handling correctly `TimeStamp`

[clausmichele]

This notebook returns an error at the filter_temporal example KeyError: Timestamp('2022-05-10 00:00:00').
https://github.com/EO-College/cubes-and-clouds/blob/main/lectures/2.3_data_access/exercises/23_data_access_filter.ipynb

It is due to openeo-pg-parser-networkx parsing the selected time as TimeStamp type, which previously was not doing (e.g. with openeo-pg-parser-networkx==2024.1.1 it works fine).

To solve this, in the implementation of filter_temporal we should handle both types, TimeStamp and str.

[clausmichele]

Interestingly, the error doesn't occur with the following sample code, where a temporal extent is used in load_stac. But if no temporal_extent is provided, the error occurs. I'm further investigating.

import openeo
from openeo.local import LocalConnection
local_conn = LocalConnection('')

properties = {"eo:cloud_cover": dict(lt=50)}
url = "https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a"
spatial_extent = {"west": 11.1, "east": 11.5, "south": 46.1, "north": 46.5}
temporal_extent = ["2022-04-10T00:00:00Z","2022-07-30T00:00:00Z"]
datacube = local_conn.load_stac(url=url,
                    spatial_extent=spatial_extent,
                    temporal_extent=temporal_extent,
                    properties=properties)
temporal_extent = ["2022-05-10T00:00:00Z","2022-06-30T00:00:00Z"]
temporal_slice = datacube.filter_temporal(temporal_extent)
temporal_slice.execute()

[clausmichele]

The issue appears when including two samples that have very similar Timestamp values:

S2B_32TPS_20200416_0_L2A 2020-04-16T10:27:51.002000000
S2B_32TPS_20200416_1_L2A 2020-04-16T10:27:51.000000000