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Create a new zarr with the first file: s3://imos-data-nonproduction/IMOS/OceanCurrent/GSLA/NRT/2024/IMOS_OceanCurrent_HV_20240101T000000Z_GSLA_FV02_NRT.nc
Then try to appeand the second file: s3://imos-data-nonproduction/IMOS/OceanCurrent/GSLA/NRT/2024/IMOS_OceanCurrent_HV_20240102T000000Z_GSLA_FV02_NRT.nc
16:16:45.392 | INFO | model_sea_level_anomaly_gridded_realtime - b88daeef-d00f-4387-9b57-899729ecd2a7: Appending data to existing Zarr
2024-11-13 16:16:45,595 - ERROR - GenericZarrHandler.py:408 - publish_cloud_optimised_fileset_batch - b88daeef-d00f-4387-9b57-899729ecd2a7: An unexpected error occurred: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed..
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 218, in _decode_cf_datetime_dtype
result = decode_cf_datetime(example_value, units, calendar, use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 349, in decode_cf_datetime
dates = _decode_datetime_with_cftime(flat_num_dates, units, calendar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 242, in _decode_datetime_with_cftime
cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
File "src/cftime/_cftime.pyx", line 587, in cftime._cftime.num2date
File "src/cftime/_cftime.pyx", line 105, in cftime._cftime._dateparse
ValueError: In general, units must be one of 'microseconds', 'milliseconds', 'seconds', 'minutes', 'hours', or 'days' (or select abbreviated versions of these). For the '360_day' calendar, 'months' can also be used, or for the 'noleap' calendar 'common_years' can also be used. Got 'nanoseconds' instead, which are not recognized.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 448, in decode_cf_variables
new_vars[k] = decode_cf_variable(
^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 289, in decode_cf_variable
var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 992, in decode
dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 228, in _decode_cf_datetime_dtype
raise ValueError(msg)
ValueError: unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 380, in publish_cloud_optimised_fileset_batch
self._write_ds(ds, idx)
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 771, in _write_ds
with xr.open_zarr(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1103, in open_zarr
ds = open_dataset(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/api.py", line 611, in open_dataset
backend_ds = backend.open_dataset(
^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1188, in open_dataset
ds = store_entrypoint.open_dataset(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/store.py", line 46, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 459, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}") from e
ValueError: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 218, in _decode_cf_datetime_dtype
result = decode_cf_datetime(example_value, units, calendar, use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 349, in decode_cf_datetime
dates = _decode_datetime_with_cftime(flat_num_dates, units, calendar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 242, in _decode_datetime_with_cftime
cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
File "src/cftime/_cftime.pyx", line 587, in cftime._cftime.num2date
File "src/cftime/_cftime.pyx", line 105, in cftime._cftime._dateparse
ValueError: In general, units must be one of 'microseconds', 'milliseconds', 'seconds', 'minutes', 'hours', or 'days' (or select abbreviated versions of these). For the '360_day' calendar, 'months' can also be used, or for the 'noleap' calendar 'common_years' can also be used. Got 'nanoseconds' instead, which are not recognized.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 448, in decode_cf_variables
new_vars[k] = decode_cf_variable(
^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 289, in decode_cf_variable
var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 992, in decode
dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 228, in _decode_cf_datetime_dtype
raise ValueError(msg)
ValueError: unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 402, in publish_cloud_optimised_fileset_batch
self._process_individual_file_fallback(
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 574, in _process_individual_file_fallback
self._write_ds(ds, idx)
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 771, in _write_ds
with xr.open_zarr(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1103, in open_zarr
ds = open_dataset(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/api.py", line 611, in open_dataset
backend_ds = backend.open_dataset(
^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1188, in open_dataset
ds = store_entrypoint.open_dataset(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/store.py", line 46, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 459, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}") from e
ValueError: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
16:16:45.595 | ERROR | model_sea_level_anomaly_gridded_realtime - b88daeef-d00f-4387-9b57-899729ecd2a7: An unexpected error occurred: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed..
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 218, in _decode_cf_datetime_dtype
result = decode_cf_datetime(example_value, units, calendar, use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 349, in decode_cf_datetime
dates = _decode_datetime_with_cftime(flat_num_dates, units, calendar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 242, in _decode_datetime_with_cftime
cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
File "src/cftime/_cftime.pyx", line 587, in cftime._cftime.num2date
File "src/cftime/_cftime.pyx", line 105, in cftime._cftime._dateparse
ValueError: In general, units must be one of 'microseconds', 'milliseconds', 'seconds', 'minutes', 'hours', or 'days' (or select abbreviated versions of these). For the '360_day' calendar, 'months' can also be used, or for the 'noleap' calendar 'common_years' can also be used. Got 'nanoseconds' instead, which are not recognized.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 448, in decode_cf_variables
new_vars[k] = decode_cf_variable(
^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 289, in decode_cf_variable
var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 992, in decode
dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 228, in _decode_cf_datetime_dtype
raise ValueError(msg)
ValueError: unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 380, in publish_cloud_optimised_fileset_batch
self._write_ds(ds, idx)
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 771, in _write_ds
with xr.open_zarr(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1103, in open_zarr
ds = open_dataset(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/api.py", line 611, in open_dataset
backend_ds = backend.open_dataset(
^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1188, in open_dataset
ds = store_entrypoint.open_dataset(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/store.py", line 46, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 459, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}") from e
ValueError: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 218, in _decode_cf_datetime_dtype
result = decode_cf_datetime(example_value, units, calendar, use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 349, in decode_cf_datetime
dates = _decode_datetime_with_cftime(flat_num_dates, units, calendar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 242, in _decode_datetime_with_cftime
cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
File "src/cftime/_cftime.pyx", line 587, in cftime._cftime.num2date
File "src/cftime/_cftime.pyx", line 105, in cftime._cftime._dateparse
ValueError: In general, units must be one of 'microseconds', 'milliseconds', 'seconds', 'minutes', 'hours', or 'days' (or select abbreviated versions of these). For the '360_day' calendar, 'months' can also be used, or for the 'noleap' calendar 'common_years' can also be used. Got 'nanoseconds' instead, which are not recognized.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 448, in decode_cf_variables
new_vars[k] = decode_cf_variable(
^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 289, in decode_cf_variable
var = times.CFDatetimeCoder(use_cftime=use_cftime).decode(var, name=name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 992, in decode
dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/coding/times.py", line 228, in _decode_cf_datetime_dtype
raise ValueError(msg)
ValueError: unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 402, in publish_cloud_optimised_fileset_batch
self._process_individual_file_fallback(
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 574, in _process_individual_file_fallback
self._write_ds(ds, idx)
File "/home/craig/git/aodn_cloud_optimised/aodn_cloud_optimised/lib/GenericZarrHandler.py", line 771, in _write_ds
with xr.open_zarr(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1103, in open_zarr
ds = open_dataset(
^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/api.py", line 611, in open_dataset
backend_ds = backend.open_dataset(
^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/zarr.py", line 1188, in open_dataset
ds = store_entrypoint.open_dataset(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/backends/store.py", line 46, in open_dataset
vars, attrs, coord_names = conventions.decode_cf_variables(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/craig/git/dataflow-orchestration/prefect-env/lib/python3.11/site-packages/xarray/conventions.py", line 459, in decode_cf_variables
raise type(e)(f"Failed to decode variable {k!r}: {e}") from e
ValueError: Failed to decode variable 'end_time': unable to decode time units 'nanoseconds since 1970-01-01' with "calendar 'proleptic_gregorian'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
The text was updated successfully, but these errors were encountered:
Create a new zarr with the first file: s3://imos-data-nonproduction/IMOS/OceanCurrent/GSLA/NRT/2024/IMOS_OceanCurrent_HV_20240101T000000Z_GSLA_FV02_NRT.nc
Then try to appeand the second file: s3://imos-data-nonproduction/IMOS/OceanCurrent/GSLA/NRT/2024/IMOS_OceanCurrent_HV_20240102T000000Z_GSLA_FV02_NRT.nc
The text was updated successfully, but these errors were encountered: