…an move to py310

See Ouranosinc/PAVICS-landing#65

See Ouranosinc/pavics-sdi#298, Ouranosinc/pavics-sdi#294

Should be fixed by intake/intake-esm#569.

Fixes #109

…dmesh() is fixed

See holoviz/hvplot#1073

…r panel

Also for Ouranosinc/pavics_panel_cccs#102.

…er 1.2.1

…e230907

Anything outside of /notebook_dir/writable-workspace/ is not persisted
on disk.

So we make /notebook_dir/ read-only to avoid user accidentally saving
valuable data there and lose it.

Need to pre-create /notebook_dir/writable-workspace/ and
/notebook_dir/pavics-homepage/ because Jenkins will write there so these
folders are writable.  See
https://github.com/Ouranosinc/PAVICS-landing/blob/f733612c9805bbd46da7d8204497553d891ffd1b/content/notebooks/climate_indicators/setup_dirlayout.sh#L14-L27

See #134

…e240130

In a fresh build, ravenpy should pull pydantic.

xscen and finagos are Ouranos internal tools that are ready to be used publicly.

Fix the following dependency error:

Note the ravenpy error is not true!  Pinning xscen also solved the ravenpy error.

```
Could not solve for environment specs
The following packages are incompatible
├─ ravenpy 0.13.0  is installable with the potential options
│  ├─ ravenpy 0.13.0 would require
│  │  └─ xarray >=2022.12.0,<2023.9.0  with the potential options
│  │     ├─ xarray [2023.4.1|2023.4.2|...|2023.8.0], which can be installed;
│  │     ├─ xarray [2022.12.0|2023.1.0] would require
│  │     │  └─ pandas >=1.3,<2a0  with the potential options
│  │     │     ├─ pandas [1.4.0|1.4.1|...|1.5.3], which can be installed;
│  │     │     ├─ pandas [1.3.0|1.3.1|...|1.5.3] would require
│  │     │     │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  │     │     ├─ pandas [1.3.0|1.3.1|...|2.2.1] would require
│  │     │     │  └─ python >=3.9,<3.10.0a0 , which can be installed;
│  │     │     ├─ pandas [1.5.1|1.5.2|1.5.3|2.2.0|2.2.1] would require
│  │     │     │  └─ python >=3.11,<3.12.0a0 , which can be installed;
│  │     │     ├─ pandas [1.3.0|1.3.1|...|1.3.5] would require
│  │     │     │  └─ python >=3.7,<3.8.0a0 , which can be installed;
│  │     │     └─ pandas [1.3.0|1.3.1|...|1.3.5], which can be installed;
│  │     └─ xarray [2023.2.0|2023.3.0] would require
│  │        └─ pandas [>=1.4,<2 |>=1.4,<2a0 ] with the potential options
│  │           ├─ pandas [1.4.0|1.4.1|...|1.5.3], which can be installed;
│  │           ├─ pandas [1.3.0|1.3.1|...|1.5.3], which can be installed (as previously explained);
│  │           ├─ pandas [1.3.0|1.3.1|...|2.2.1], which can be installed (as previously explained);
│  │           └─ pandas [1.5.1|1.5.2|1.5.3|2.2.0|2.2.1], which can be installed (as previously explained);
│  ├─ ravenpy 0.13.0 would require
│  │  └─ python >=3.11,<3.12.0a0 , which can be installed;
│  ├─ ravenpy 0.13.0 would require
│  │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  └─ ravenpy 0.13.0 would require
│     └─ python >=3.9,<3.10.0a0 , which can be installed;
└─ xscen 0.8.3  is not installable because it requires
   ├─ pandas >=2.2  with the potential options
   │  ├─ pandas [1.3.0|1.3.1|...|2.2.1], which can be installed (as previously explained);
   │  ├─ pandas [1.5.1|1.5.2|1.5.3|2.2.0|2.2.1], which can be installed (as previously explained);
   │  ├─ pandas [2.2.0|2.2.1] conflicts with any installable versions previously reported;
   │  └─ pandas [2.2.0|2.2.1] would require
   │     └─ python >=3.12,<3.13.0a0 , which can be installed;
   └─ xclim >=0.48.2 , which requires
      └─ xarray >=2023.11.0 , which conflicts with any installable versions previously reported.
The command '/bin/sh -c umask 0000     && mamba install -c conda-forge -c cdat -c bokeh -c plotly -c pyviz/label/dev -c defaults -n birdy xscen==0.8.3 ravenpy==0.13.0 pydantic==2.6.3     && mamba clean --a
ll --yes     && pip install --no-cache-dir --upgrade finagos' returned a non-zero code: 1
```

…e240306

…egistered.""

This reverts commit daaa489.

Have this error when starting JupyterLab:

```
JupyterLab build is suggested:

@plotly/dash-jupyterlab needs to be included in build
jupyterlab-dash needs to be included in build
```

…d build logs as baseline

…line

…gs, keep plotly

Previous jupyter-dash warning "Plugin 'jupyterlab_dash' is already
registered."

Plotly will be pulled as indirect dependency.

Related issues and discussions:

plotly/jupyter-dash#49 (comment)
This entire package is obsolete, its functionality has been integrated
into the main Dash package. If anyone is interested in helping modernize
JupyterDash packaging the Dash repo is the place to continue this
discussion.

Ouranosinc/pavics-jupyter-env-issues#5 (comment)
@Zeitsperre
As far as I can tell, we abandoned Dash in favour of Holoviews. Fell
free to drop it.

Ouranosinc/pavics-jupyter-env-issues#5 (comment)
@tlogan2000
Dash/jupyter dash can be dropped I think but `plotly` itself can be used
as a backend in Panel/Hvplot/Holoviews ecosystem so would be good to
keep.

To pull this change bird-house/birdy#240.

To fix this error bird-house/birdy#239:
```
RavenPy-master/docs/notebooks/02_Extract_geographical_watershed_properties.ipynb::Cell 5
AttributeError: module 'xarray' has no attribute 'open_rasterio'
```

…path

```
  _ pavics-sdi-fix_nbs_jupyter_alpha_refresh_output/docs/source/notebooks/subset-user-input.ipynb::Cell 14 _
  Notebook cell execution failed
  Cell 14: Cell outputs differ

  Input:
  lon0 = float(bounds.minx)
  lon1 = float(bounds.maxx)
  lat0 = float(bounds.miny)
  lat1 = float(bounds.maxy)

  result_tasmin = finch.subset_bbox(
      resource=data,
      variable="tasmin",
      lon0=lon0,
      lon1=lon1,
      lat0=lat0,
      lat1=lat1,
      start_date="1958-01-01",
      end_date="1958-12-31",
  )

  Traceback:
   mismatch 'stderr'

   assert reference_output == test_output failed:

    '/tmp/ipykern...ounds.maxy)\n' == '/tmp/ipykern...ounds.maxy)\n'

    Skipping 179 identical trailing characters in diff, use -v to show
    - /tmp/ipykernel_1380/857013960.py:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                 ^^^
    + /tmp/ipykernel_3157/857013960.py:1: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                + ^^
        lon0 = float(bounds.minx)
    - /tmp/ipykernel_1380/857013960.py:2: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                 ^^^
    + /tmp/ipykernel_3157/857013960.py:2: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                + ^^
        lon1 = float(bounds.maxx)
    - /tmp/ipykernel_1380/857013960.py:3: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                 ^^^
    + /tmp/ipykernel_3157/857013960.py:3: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
    ?                + ^^
        lat0 = float(bounds.miny)
    - /tmp/ipykernel_1380/85701396
    ?                 ^^^
    + /tmp/ipykernel_3157/85701396
    ?                + ^^
```

…ow machine

The nbconvert output is useful for refreshing output so we want all of
them to pass, even if we need to increase the timeout during a manual run.

Nightly automated scheduled run will always use the default value 240 sec.

jupyter-dash has been removed in commit a73fc6c.

To allow using this exact Jupyter env, outside of Jupyter, on some local machine.

https://conda.github.io/conda-pack/

conda-pack is a command line tool for creating archives of conda environments
that can be installed on other systems and locations. This is useful for
deploying code in a consistent environment—potentially where python and/or
conda isn’t already installed.

A tool like conda-pack is necessary because conda environments are not
relocatable. Simply moving an environment to a different directory can render
it partially or completely inoperable. conda-pack addresses this challenge by
building archives from original conda package sources and reproducing conda’s
own relocation logic.

…ttent

homepage nb 4: AttributeError: 'Dataset' object has no attribute 'description'.

Intermittent is WMS_example: NASA server glitch.

…r-dash"

This reverts commit 6dd64ec.

Have this warning when login into JupyterLab and the build failed:
```
Build Recommended
JupyterLab build is suggested:

@plotly/dash-jupyterlab needs to be included in build
```

… failing

… failing

…tion

See jupyterlab-contrib/jupyter-archive#132

…rt time, very weird

Not hanging when running interractively in JupyterLab.

Hanging at import time in Jenkins:
```
  ============================= test session starts ==============================
  platform linux -- Python 3.10.13, pytest-8.1.1, pluggy-1.4.0
  rootdir: /home/jenkins/agent/workspace/_workflow-tests_new-docker-build
  plugins: anyio-4.3.0, dash-2.16.1, nbval-0.11.0, tornasync-0.6.0.post2, xdist-3.5.0
  collected 16 items

  RavenPy-master/docs/notebooks/10_Data_assimilation.ipynb ........        [ 50%]
  RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb Fx [ 62%]
  xxxxxx                                                                   [100%]

  =================================== FAILURES ===================================
  _ RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb::Cell 0 _
  Notebook cell execution failed
  Cell 0: Timeout of 2000 seconds exceeded while executing cell. Failed to interrupt kernel in 5 seconds, so failing without traceback.

  Input:
  import datetime as dt

  from matplotlib import pyplot as plt

  from ravenpy.config import commands as rc
  from ravenpy.config.emulators import GR4JCN
  from ravenpy.utilities import forecasting
  from ravenpy.utilities.testdata import get_file

  =========================== short test summary info ============================
  FAILED RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb::Cell 0
  ============= 1 failed, 8 passed, 7 xfailed in 2072.79s (0:34:32) ==============
  + EXIT_CODE=1
  + echo true
  + tr [:upper:] [:lower:]
  + SAVE_RESULTING_NOTEBOOK=true
  + [ xtrue = xtrue ]
  + mkdir -p buildout
  + basename RavenPy-master/docs/notebooks/10_Data_assimilation.ipynb
  + filename=10_Data_assimilation.ipynb
  + echo 10_Data_assimilation.ipynb
  + sed s/.ipynb$//
  + filename=10_Data_assimilation
  + [ -e buildout/10_Data_assimilation.output.ipynb ]
  + jupyter nbconvert --to notebook --execute --ExecutePreprocessor.timeout=600 --allow-errors --output-dir buildout --output 10_Data_assimilation.output.ipynb RavenPy-master/docs/notebooks/10_Data_assimilation.ipynb
  [NbConvertApp] Converting notebook RavenPy-master/docs/notebooks/10_Data_assimilation.ipynb to notebook
  [NbConvertApp] Writing 432766 bytes to buildout/10_Data_assimilation.output.ipynb
  + basename RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb
  + filename=11_Climatological_ESP_forecasting.ipynb
  + echo 11_Climatological_ESP_forecasting.ipynb
  + sed s/.ipynb$//
  + filename=11_Climatological_ESP_forecasting
  + [ -e buildout/11_Climatological_ESP_forecasting.output.ipynb ]
  + jupyter nbconvert --to notebook --execute --ExecutePreprocessor.timeout=600 --allow-errors --output-dir buildout --output 11_Climatological_ESP_forecasting.output.ipynb RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb
  [NbConvertApp] Converting notebook RavenPy-master/docs/notebooks/11_Climatological_ESP_forecasting.ipynb to notebook
  [NbConvertApp] ERROR | Kernel died while waiting for execute reply.
  Traceback (most recent call last):
    File "/opt/conda/envs/birdy/bin/jupyter-nbconvert", line 10, in <module>
      sys.exit(main())
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/jupyter_core/application.py", line 283, in launch_instance
      super().launch_instance(argv=argv, **kwargs)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/traitlets/config/application.py", line 1075, in launch_instance
      app.start()
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/nbconvertapp.py", line 420, in start
      self.convert_notebooks()
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/nbconvertapp.py", line 597, in convert_notebooks
      self.convert_single_notebook(notebook_filename)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/nbconvertapp.py", line 563, in convert_single_notebook
      output, resources = self.export_single_notebook(
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/nbconvertapp.py", line 487, in export_single_notebook
      output, resources = self.exporter.from_filename(
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/exporters/exporter.py", line 201, in from_filename
      return self.from_file(f, resources=resources, **kw)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/exporters/exporter.py", line 220, in from_file
      return self.from_notebook_node(
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/exporters/notebook.py", line 36, in from_notebook_node
      nb_copy, resources = super().from_notebook_node(nb, resources, **kw)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/exporters/exporter.py", line 154, in from_notebook_node
      nb_copy, resources = self._preprocess(nb_copy, resources)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/exporters/exporter.py", line 353, in _preprocess
      nbc, resc = preprocessor(nbc, resc)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/preprocessors/base.py", line 48, in __call__
      return self.preprocess(nb, resources)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/preprocessors/execute.py", line 102, in preprocess
      self.preprocess_cell(cell, resources, index)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbconvert/preprocessors/execute.py", line 123, in preprocess_cell
      cell = self.execute_cell(cell, index, store_history=True)
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/jupyter_core/utils/__init__.py", line 165, in wrapped
      return loop.run_until_complete(inner)
    File "/opt/conda/envs/birdy/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
      return future.result()
    File "/opt/conda/envs/birdy/lib/python3.10/site-packages/nbclient/client.py", line 1005, in async_execute_cell
      raise DeadKernelError("Kernel died") from None
  nbclient.exceptions.DeadKernelError: Kernel died
  + exit 1
```

py3.11 because py3.10 hang unexpectedly in raven nb in Jenkins but not
interractively in JupyterLab.  Unable to diagnose.

Remove cdms2 because:

```
Could not solve for environment specs
The following packages are incompatible
├─ cdms2 is installable with the potential options
│  ├─ cdms2 [2.10|2.12|...|3.1.4] would require
│  │  └─ python [2.7* |>=2.7,<2.8.0a0 ], which can be installed;
│  ├─ cdms2 [3.0|3.0.1] would require
│  │  └─ python [3.5* |>=3.5,<3.6.0a0 ], which can be installed;
│  ├─ cdms2 3.0 would require
│  │  └─ python 3.6* , which can be installed;
│  ├─ cdms2 [3.0.1|3.1.0|3.1.2|3.1.3|3.1.4] would require
│  │  └─ python >=3.6,<3.7.0a0 , which can be installed;
│  ├─ cdms2 [3.1.2|3.1.3|3.1.4] would require
│  │  └─ python >=3.7,<3.8.0a0 , which can be installed;
│  ├─ cdms2 [3.1.4|3.1.5] would require
│  │  └─ python >=3.6,<3.7.0a0 *_cpython, which can be installed;
│  ├─ cdms2 [3.1.4|3.1.5] would require
│  │  └─ python >=3.7,<3.8.0a0 *_cpython, which can be installed;
│  ├─ cdms2 3.1.4 would require
│  │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  ├─ cdms2 [3.1.4|3.1.5] would require
│  │  └─ python >=3.8,<3.9.0a0 *_cpython, which can be installed;
│  ├─ cdms2 3.1.5 would require
│  │  └─ python >=3.10,<3.11.0a0 *_cpython, which can be installed;
│  ├─ cdms2 3.1.5 would require
│  │  └─ python >=3.9,<3.10.0a0 *_cpython, which can be installed;
│  └─ cdms2 3.1.5 would require
│     └─ python >=3.9,<3.10.0a0 *_73_pypy, which can be installed;
└─ pin-1 is not installable because it requires
   └─ python 3.11.* , which conflicts with any installable versions previously reported.

Pins seem to be involved in the conflict. Currently pinned specs:
 - python 3.11.* (labeled as 'pin-1')
```

Because csdm2 and vcs (from CDAT) are removed from the env because they
block us from using newer version of Python.

```
  /opt/conda/envs/birdy/lib/python3.11/site-packages/nbval/plugin.py:122: DeprecationWarning: --sanitize-with has been renamed to --nbval-sanitize-with
   warnings.warn("--sanitize-with has been renamed to --nbval-sanitize-with", DeprecationWarning)
```

Only 04_Emulating_hydrological_models.ipynb, hydroshare nb already known
to break.