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[2019-05-14 14:41:52,557: ERROR/ForkPoolWorker-3] Task deployments.tasks.refresh_server[98281347-756f-40f4-9cf6-8c0d9af5eb63] raised unexpected: ValueError("unable to decode time units 'seconds since 1970-01-01T00:00:00Z' with calendar 'gregorian'. Try opening your dataset with decode_times=False.") celery-worker_1 | Traceback (most recent call last): celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 176, in decode_cf_datetime celery-worker_1 | calendar) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 141, in _decode_datetime_with_pandas celery-worker_1 | pd.to_timedelta(flat_num_dates.min(), delta) + ref_date celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/pandas/core/tools/timedeltas.py", line 114, in to_timedelta celery-worker_1 | box=box, errors=errors) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/pandas/core/tools/timedeltas.py", line 121, in _coerce_scalar_to_timedelta_type celery-worker_1 | result = Timedelta(r, unit) celery-worker_1 | File "pandas/_libs/tslibs/timedeltas.pyx", line 1193, in pandas._libs.tslibs.timedeltas.Timedelta.__new__ celery-worker_1 | File "pandas/_libs/tslibs/timedeltas.pyx", line 190, in pandas._libs.tslibs.timedeltas.convert_to_timedelta64 celery-worker_1 | File "pandas/_libs/tslibs/timedeltas.pyx", line 308, in pandas._libs.tslibs.timedeltas.cast_from_unit celery-worker_1 | OverflowError: Python int too large to convert to C long celery-worker_1 | celery-worker_1 | During handling of the above exception, another exception occurred: celery-worker_1 | celery-worker_1 | Traceback (most recent call last): celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 94, in _decode_cf_datetime_dtype celery-worker_1 | use_cftime) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 179, in decode_cf_datetime celery-worker_1 | flat_num_dates.astype(np.float), units, calendar) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 113, in _decode_datetime_with_cftime celery-worker_1 | only_use_cftime_datetimes=True)) celery-worker_1 | File "cftime/_cftime.pyx", line 267, in cftime._cftime.num2date celery-worker_1 | File "cftime/_cftime.pyx", line 869, in cftime._cftime.utime.num2date celery-worker_1 | File "cftime/_cftime.pyx", line 493, in cftime._cftime.DateFromJulianDay celery-worker_1 | File "cftime/_cftime.pyx", line 472, in cftime._cftime.DateFromJulianDay.getdateinfo celery-worker_1 | File "cftime/_cftime.pyx", line 1935, in cftime._cftime._IntJulianDayToDate celery-worker_1 | ValueError: julian day must be a positive integer celery-worker_1 | celery-worker_1 | During handling of the above exception, another exception occurred: celery-worker_1 | celery-worker_1 | Traceback (most recent call last): celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/celery/app/trace.py", line 385, in trace_task celery-worker_1 | R = retval = fun(*args, **kwargs) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/celery/app/trace.py", line 648, in __protected_call__ celery-worker_1 | return self.run(*args, **kwargs) celery-worker_1 | File "/app/deployments/tasks.py", line 81, in refresh_server celery-worker_1 | refresh_dataset(ds.id) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/celery/local.py", line 191, in __call__ celery-worker_1 | return self._get_current_object()(*a, **kw) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/celery/app/trace.py", line 649, in __protected_call__ celery-worker_1 | return orig(self, *args, **kwargs) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/celery/app/task.py", line 394, in __call__ celery-worker_1 | return self.run(*args, **kwargs) celery-worker_1 | File "/app/deployments/tasks.py", line 64, in refresh_dataset celery-worker_1 | update_values_for_timeseries(timeseries) celery-worker_1 | File "/app/deployments/tasks.py", line 22, in update_values_for_timeseries celery-worker_1 | timeseries, celery-worker_1 | File "/app/deployments/utils/erddap_datasets.py", line 43, in retrieve_dataframe celery-worker_1 | ds = e.to_xarray() celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/erddapy/erddapy.py", line 339, in to_xarray celery-worker_1 | return xr.open_dataset(tmp.name, **kw) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/backends/api.py", line 394, in open_dataset celery-worker_1 | ds = maybe_decode_store(store) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/backends/api.py", line 324, in maybe_decode_store celery-worker_1 | drop_variables=drop_variables, use_cftime=use_cftime) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/conventions.py", line 479, in decode_cf celery-worker_1 | decode_coords, drop_variables=drop_variables, use_cftime=use_cftime) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/conventions.py", line 401, in decode_cf_variables celery-worker_1 | stack_char_dim=stack_char_dim, use_cftime=use_cftime) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/conventions.py", line 306, in decode_cf_variable celery-worker_1 | var = coder.decode(var, name=name) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 419, in decode celery-worker_1 | self.use_cftime) celery-worker_1 | File "/usr/local/lib/python3.7/site-packages/xarray/coding/times.py", line 101, in _decode_cf_datetime_dtype celery-worker_1 | raise ValueError(msg) celery-worker_1 | ValueError: unable to decode time units 'seconds since 1970-01-01T00:00:00Z' with calendar 'gregorian'. Try opening your dataset with decode_times=False.
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pydata/xarray#521 pydata/xarray#1252 pydata/xarray#1395
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abkfenris
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The text was updated successfully, but these errors were encountered: