Jupyter notebook deployment from terminal: FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz'

I am deploying a jupyter notebook in the Rconnect by the conda terminal. I am using the example. So I ran from the terminal rsconnect deploy notebook --server https://d-publish.space.tadnet.net --api-key XXXapikeyXXXX stock-report-jupyter.ipynb --new

But in the demo example it says that a file has to be included as an Additional File `

How do I add a file when deploying from command line? Is there any specific documentation or tutorial regarding this kind of deployment?

(base) C:\Users\navarra\Desktop\stock-report-jupyter>rsconnect deploy notebook --server https://d-publish.space.tadnet.net --api-key XXXXXXXXXX stock-report-jupyter.ipynb --new Checking arguments... [OK] Deploying stock-report-jupyter.ipynb to server "https://d-publish.space.tadnet.net" Inspecting Python environment... [OK] Creating deployment bundle... [OK] Uploading bundle... [OK] Saving deployment data... [OK]

Deployment log: Building Jupyter notebook... Bundle requested Python version 3.8.3; using /mnt/share/conda/envs/kourou_rev1_python3.8/bin/python3.8 which has version 3.8.1 2020/09/14 11:28:15.720415661 arguments: /mnt/share/conda/envs/kourou_rev1_python3.8/bin/python3.8 /opt/rstudio-connect/python/build_environment.py 2020/09/14 11:28:15.720586014 2020/09/14 11:28:17.089029006 2020/09/14 11:28:17.089074165 CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. 2020/09/14 11:28:17.089149492 To initialize your shell, run 2020/09/14 11:28:17.089156042 2020/09/14 11:28:17.089167494 $ conda init 2020/09/14 11:28:17.089168275 2020/09/14 11:28:17.089176022 Currently supported shells are: 2020/09/14 11:28:17.089176712 - bash 2020/09/14 11:28:17.089187898 - fish 2020/09/14 11:28:17.089188687 - tcsh 2020/09/14 11:28:17.089196563 - xonsh 2020/09/14 11:28:17.089197237 - zsh 2020/09/14 11:28:17.089205259 - powershell 2020/09/14 11:28:17.089205904 2020/09/14 11:28:17.089213614 See 'conda init --help' for more information and options. 2020/09/14 11:28:17.089216846 2020/09/14 11:28:17.089225279 IMPORTANT: You may need to close and restart your shell after running 'conda init'. 2020/09/14 11:28:17.089226038 2020/09/14 11:28:17.089233745 2020/09/14 11:28:17.429193292 Running on host: spaxd101.ecbt1.tadnet.net 2020/09/14 11:28:17.429238573 Environment will be built with Python "3.8.1 (default, Jan 8 2020, 22:29:32) [GCC 7.3.0]" at /mnt/share/conda/envs/kourou_rev1_python3.8/bin/python3.8 2020/09/14 11:28:17.429624050 Running as user: rstudio-connect 2020/09/14 11:28:17.430823127 Using cached environment: iy9xLX--6JFMm47zyOI86w 2020/09/14 11:28:18.948235028 Packages in the environment: absl-py==0.9.0, alabaster==0.7.12, anaconda-client==1.7.2, anaconda-project==0.8.3, appdirs==1.4.3, argh==0.26.2, arrow==0.15.5, asn1crypto==1.3.0, astroid==2.3.3, astropy==4.0, astunparse==1.6.3, atomicwrites==1.3.0, attrs==19.3.0, autopep8==1.4.4, Babel==2.8.0, backcall==0.1.0, backports.shutil-get-terminal-size==1.0.0, bcrypt==3.2.0, beautifulsoup4==4.8.2, binaryornot==0.4.4, bitarray==1.2.1, bkcharts==0.2, bleach==3.1.0, bokeh==1.4.0, boto==2.49.0, boto3==1.12.46, botocore==1.15.46, Bottleneck==1.3.2, cachetools==4.1.0, certifi==2019.11.28, cffi==1.14.0, cfgv==3.1.0, chardet==3.0.4, Click==7.0, cloudpickle==1.3.0, clyent==1.2.2, colorama==0.4.3, contextlib2==0.6.0.post1, cookiecutter==1.7.2, cryptography==2.8, cycler==0.10.0, Cython==0.29.15, cytoolz==0.10.1, dask==2.11.0, dask-glm==0.2.0, dask-ml==1.6.0, dask-tensorflow==0.0.2, dask-xgboost==0.1.11, dask-yarn==0.8.1, decorator==4.4.1, defusedxml==0.6.0, diff-match-patch==20181111, distlib==0.3.0, distributed==2.11.0, docutils==0.15.2, elephas==0.4.3, entrypoints==0.3, et-xmlfile==1.0.1, fastcache==1.1.0, filelock==3.0.12, flake8==3.7.9, Flask==1.1.1, fsspec==0.6.2, future==0.18.2, fuzzywuzzy==0.18.0, gast==0.3.3, gensim==3.8.3, gevent==1.3.7, glob2==0.7, gmpy2==2.0.8, google-auth==1.14.1, google-auth-oauthlib==0.4.1, google-pasta==0.2.0, graphframes==0.6, greenlet==0.4.15, grpcio==1.28.1, h5py==2.10.0, HeapDict==1.0.1, html5lib==1.0.1, hyperas==0.4.1, hyperopt==0.2.4, hypothesis==5.5.4, identify==1.4.15, idna==2.8, imageio==2.6.1, imagesize==1.2.0, importlib-metadata==1.5.0, impyla==0.16.2, intervaltree==3.0.2, ipykernel==5.1.4, ipython==7.12.0, ipython-genutils==0.2.0, ipywidgets==7.5.1, isort==4.3.21, itsdangerous==1.1.0, jdcal==1.4.1, jedi==0.14.1, jeepney==0.4.2, Jinja2==2.11.1, jinja2-time==0.2.0, jmespath==0.9.5, joblib==0.14.1, json5==0.9.1, jsonschema==3.2.0, jupyter==1.0.0, jupyter-client==5.3.4, jupyter-console==6.1.0, jupyter-core==4.6.1, jupyterlab==1.2.6, jupyterlab-server==1.0.6, Keras= =2.4.3, Keras-Applications==1.0.8, Keras-Preprocessing==1.1.2, keyring==21.1.0, kiwisolver==1.0.1, lazy-object-proxy==1.4.3, libarchive-c==2.8, llvmlite==0.31.0, locket==0.2.0, lxml==4.5.0, Markdown==3.2.1, MarkupSafe==1.1.1, matplotlib==3.1.3, mccabe==0.6.1, mistune==0.8.4, mkl-fft==1.0.15, mkl-random==1.1.0, mkl-service==2.3.0, mock==4.0.1, more-itertools==8.2.0, mpmath==1.1.0, msgpack==0.6.1, multipledispatch==0.6.0, nbconvert==5.6.1, nbformat==5.0.4, networkx==2.4, nltk==3.4.5, nodeenv==1.3.5, nose==1.3.7, notebook==6.0.3, ntlm-auth==1.4.0, numba==0.48.0, numexpr==2.7.1, numpy==1.18.1, numpydoc==0.9.2, oauthlib==3.1.0, olefile==0.46, openpyxl==3.0.3, opt-einsum==3.2.1, packaging==20.1, pandas==1.0.1, pandocfilters==1.4.2, paramiko==2.7.2, parso==0.5.2, partd==1.1.0, path==13.1.0, pathlib2==2.3.5, pathtools==0.1.2, patsy==0.5.1, pep8==1.7.1, pexpect==4.8.0, pickleshare==0.7.5, Pillow==7.0.0, pkginfo==1.5.0.1, pluggy==0.13.1, ply==3.11, poyo==0.5.0, pre-commit==2.7.1, prometheus-client==0.7.1, prompt-toolki t==3.0.3, protobuf==3.11.3, psutil==5.6.7, ptyprocess==0.6.0, py==1.8.1, py4j==0.10.7, pyarrow==1.0.1, pyasn1==0.4.8, pyasn1-modules==0.2.8, pycodestyle==2.5.0, pycosat==0.6.3, pycparser==2.19, pycurl==7.43.0.5, pydocstyle==4.0.1, pyflakes==2.1.1, Pygments==2.5.2, pykerberos==1.2.1, pylint==2.4.4, PyNaCl==1.4.0, pyodbc===4.0.0-unsupported, pyOpenSSL==19.1.0, pypandoc==1.5, pyparsing==2.4.6, pyrsistent==0.15.7, PySocks==1.7.1, pyspark==2.4.5, pytest==5.3.5, pytest-arraydiff==0.2, pytest-astropy==0.8.0, pytest-astropy-header==0.1.2, pytest-doctestplus==0.5.0, pytest-openfiles==0.4.0, pytest-remotedata==0.3.2, python-dateutil==2.8.1, python-jsonrpc-server==0.3.4, python-language-server==0.31.7, python-slugify==4.0.0, pytz==2019.3, PyWavelets==1.1.1, pywinrm==0.4.1, pyxdg==0.26, PyYAML==5.3, pyzmq==18.1.1, QDarkStyle==2.8, QtAwesome==0.6.1, qtconsole==4.6.0, QtPy==1.9.0, requests==2.22.0, requests-futures==1.0.0, requests-kerberos==0.12.0, requests-ntlm==1.1.0, requests-oauthlib==1.3.0, rope==0.16.0, rsa==4.0, Rt ree==0.9.3, ruamel-yaml==0.15.87, s3transfer==0.3.3, scikit-image==0.16.2, scikit-learn==0.23.2, scipy==1.4.1, seaborn==0.10.0, SecretStorage==3.1.2, Send2Trash==1.5.0, simplegeneric==0.8.1, singledispatch==3.4.0.3, sip==4.19.13, six==1.14.0, skein==0.8.0, smart-open==1.11.1, snowballstemmer==2.0.0, sortedcollections==1.1.1, sortedcontainers==2.1.0, soupsieve==1.9.5, spark-nlp==2.5.5, Sphinx==2.4.0, sphinxcontrib-applehelp==1.0.1, sphinxcontrib-devhelp==1.0.1, sphinxcontrib-htmlhelp==1.0.2, sphinxcontrib-jsmath==1.0.1, sphinxcontrib-qthelp==1.0.2, sphinxcontrib-serializinghtml==1.1.3, sphinxcontrib-websupport==1.2.0, spyder==4.0.1, spyder-kernels==1.8.1, SQLAlchemy==1.3.13, stanfordcorenlp==3.9.1.1, statsmodels==0.11.0, sympy==1.5.1, tables==3.6.1, tblib==1.6.0, tensorboard==2.3.0, tensorboard-plugin-wit==1.6.0.post3, tensorflow==2.3.0, tensorflow-estimator==2.3.0, termcolor==1.1.0, terminado==0.8.3, testpath==0.4.4, text-unidecode==1.3, threadpoolctl==2.1.0, thrift==0.13.0, thriftpy2==0.4.11, toml==0.10.0, t oolz==0.10.0, tornado==6.0.3, tqdm==4.42.1, traitlets==4.3.3, ujson==1.35, unicodecsv==0.14.1, urllib3==1.25.8, virtualenv==20.0.18, watchdog==0.10.2, wcwidth==0.1.8, webencodings==0.5.1, Werkzeug==1.0.0, widgetsnbextension==3.5.1, wrapt==1.11.2, wurlitzer==2.0.0, xgboost==0.90, xlrd==1.2.0, XlsxWriter==1.2.7, xlwt==1.3.0, xmltodict==0.12.0, yapf==0.28.0, zict==1.0.0, zipp==2.2.0, 2020/09/14 11:28:18.948354132 Creating lockfile: python/requirements.txt.lock Completed Python build against Python version: '3.8.1' Launching Jupyter notebook... 2020/09/14 11:28:20.610519182 arguments: /mnt/share/conda/envs/kourou_rev1_python3.8/bin/python3.8 /opt/rstudio-connect/python/build_report.py 2020/09/14 11:28:20.610683278 2020/09/14 11:28:21.878736152 2020/09/14 11:28:21.878785967 CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. 2020/09/14 11:28:21.878855706 To initialize your shell, run 2020/09/14 11:28:21.878861621 2020/09/14 11:28:21.878870665 $ conda init 2020/09/14 11:28:21.878871436 2020/09/14 11:28:21.878880537 Currently supported shells are: 2020/09/14 11:28:21.878881242 - bash 2020/09/14 11:28:21.878892535 - fish 2020/09/14 11:28:21.878893271 - tcsh 2020/09/14 11:28:21.878900975 - xonsh 2020/09/14 11:28:21.878901692 - zsh 2020/09/14 11:28:21.878909451 - powershell 2020/09/14 11:28:21.878910141 2020/09/14 11:28:21.878941144 See 'conda init --help' for more information and options. 2020/09/14 11:28:21.878948640 2020/09/14 11:28:21.878964698 IMPORTANT: You may need to close and restart your shell after running 'conda init'. 2020/09/14 11:28:21.878965598 2020/09/14 11:28:21.879031251 2020/09/14 11:28:22.088792231 Running on host: spaxd101.ecbt1.tadnet.net 2020/09/14 11:28:22.088830189 Bootstrapping environment using Python "3.8.1 (default, Jan 8 2020, 22:29:32) [GCC 7.3.0]" at "/mnt/share/conda/envs/kourou_rev1_python3.8/bin/python3.8" 2020/09/14 11:28:22.089100723 Running as user: rstudio-connect 2020/09/14 11:28:23.623962834 Packages in the environment: absl-py==0.9.0, alabaster==0.7.12, anaconda-client==1.7.2, anaconda-project==0.8.3, appdirs==1.4.3, argh==0.26.2, arrow==0.15.5, asn1crypto==1.3.0, astroid==2.3.3, astropy==4.0, astunparse==1.6.3, atomicwrites==1.3.0, attrs==19.3.0, autopep8==1.4.4, Babel==2.8.0, backcall==0.1.0, backports.shutil-get-terminal-size==1.0.0, bcrypt==3.2.0, beautifulsoup4==4.8.2, binaryornot==0.4.4, bitarray==1.2.1, bkcharts==0.2, bleach==3.1.0, bokeh==1.4.0, boto==2.49.0, boto3==1.12.46, botocore==1.15.46, Bottleneck==1.3.2, cachetools==4.1.0, certifi==2019.11.28, cffi==1.14.0, cfgv==3.1.0, chardet==3.0.4, Click==7.0, cloudpickle==1.3.0, clyent==1.2.2, colorama==0.4.3, contextlib2==0.6.0.post1, cookiecutter==1.7.2, cryptography==2.8, cycler==0.10.0, Cython==0.29.15, cytoolz==0.10.1, dask==2.11.0, dask-glm==0.2.0, dask-ml==1.6.0, dask-tensorflow==0.0.2, dask-xgboost==0.1.11, dask-yarn==0.8.1, decorator==4.4.1, defusedxml==0.6.0, diff-match-patch==20181111, distlib==0.3.0, distributed==2.11.0, docutils==0.15.2, elephas==0.4.3, entrypoints==0.3, et-xmlfile==1.0.1, fastcache==1.1.0, filelock==3.0.12, flake8==3.7.9, Flask==1.1.1, fsspec==0.6.2, future==0.18.2, fuzzywuzzy==0.18.0, gast==0.3.3, gensim==3.8.3, gevent==1.3.7, glob2==0.7, gmpy2==2.0.8, google-auth==1.14.1, google-auth-oauthlib==0.4.1, google-pasta==0.2.0, graphframes==0.6, greenlet==0.4.15, grpcio==1.28.1, h5py==2.10.0, HeapDict==1.0.1, html5lib==1.0.1, hyperas==0.4.1, hyperopt==0.2.4, hypothesis==5.5.4, identify==1.4.15, idna==2.8, imageio==2.6.1, imagesize==1.2.0, importlib-metadata==1.5.0, impyla==0.16.2, intervaltree==3.0.2, ipykernel==5.1.4, ipython==7.12.0, ipython-genutils==0.2.0, ipywidgets==7.5.1, isort==4.3.21, itsdangerous==1.1.0, jdcal==1.4.1, jedi==0.14.1, jeepney==0.4.2, Jinja2==2.11.1, jinja2-time==0.2.0, jmespath==0.9.5, joblib==0.14.1, json5==0.9.1, jsonschema==3.2.0, jupyter==1.0.0, jupyter-client==5.3.4, jupyter-console==6.1.0, jupyter-core==4.6.1, jupyterlab==1.2.6, jupyterlab-server==1.0.6, Keras==2.4.3, Keras-Applications==1.0.8, Keras-Preprocessing==1.1.2, keyring==21.1.0, kiwisolver==1.0.1, lazy-object-proxy==1.4.3, libarchive-c==2.8, llvmlite==0.31.0, locket==0.2.0, lxml==4.5.0, Markdown==3.2.1, MarkupSafe==1.1.1, matplotlib==3.1.3, mccabe==0.6.1, mistune==0.8.4, mkl-fft==1.0.15, mkl-random==1.1.0, mkl-service==2.3.0, mock==4.0.1, more-itertools==8.2.0, mpmath==1.1.0, msgpack==0.6.1, multipledispatch==0.6.0, nbconvert==5.6.1, nbformat==5.0.4, networkx==2.4, nltk==3.4.5, nodeenv==1.3.5, nose==1.3.7, notebook==6.0.3, ntlm-auth==1.4.0, numba==0.48.0, numexpr==2.7.1, numpy==1.18.1, numpydoc==0.9.2, oauthlib==3.1.0, olefile==0.46, openpyxl==3.0.3, opt-einsum==3.2.1, packaging==20.1, pandas==1.0.1, pandocfilters==1.4.2, paramiko==2.7.2, parso==0.5.2, partd==1.1.0, path==13.1.0, pathlib2==2.3.5, pathtools==0.1.2, patsy==0.5.1, pep8==1.7.1, pexpect==4.8.0, pickleshare==0.7.5, Pillow==7.0.0, pkginfo==1.5.0.1, pluggy==0.13.1, ply==3.11, poyo==0.5.0, pre-commit==2.7.1, prometheus-client==0.7.1, prompt-toolkit==3.0.3, protobuf==3.11.3, psutil==5.6.7, ptyprocess==0.6.0, py==1.8.1, py4j==0.10.7, pyarrow==1.0.1, pyasn1==0.4.8, pyasn1-modules==0.2.8, pycodestyle==2.5.0, pycosat==0.6.3, pycparser==2.19, pycurl==7.43.0.5, pydocstyle==4.0.1, pyflakes==2.1.1, Pygments==2.5.2, pykerberos==1.2.1, pylint==2.4.4, PyNaCl==1.4.0, pyodbc===4.0.0-unsupported, pyOpenSSL==19.1.0, pypandoc==1.5, pyparsing==2.4.6, pyrsistent==0.15.7, PySocks==1.7.1, pyspark==2.4.5, pytest==5.3.5, pytest-arraydiff==0.2, pytest-astropy==0.8.0, pytest-astropy-header==0.1.2, pytest-doctestplus==0.5.0, pytest-openfiles==0.4.0, pytest-remotedata==0.3.2, python-dateutil==2.8.1, python-jsonrpc-server==0.3.4, python-language-server==0.31.7, python-slugify==4.0.0, pytz==2019.3, PyWavelets==1.1.1, pywinrm==0.4.1, pyxdg==0.26, PyYAML==5.3, pyzmq==18.1.1, QDarkStyle==2.8, QtAwesome==0.6.1, qtconsole==4.6.0, QtPy==1.9.0, requests==2.22.0, requests-futures==1.0.0, requests-kerberos==0.12.0, requests-ntlm==1.1.0, requests-oauthlib==1.3.0, rope==0.16.0, rsa==4.0, Rtree==0.9.3, ruamel-yaml==0.15.87, s3transfer==0.3.3, scikit-image==0.16.2, scikit-learn==0.23.2, scipy==1.4.1, seaborn==0.10.0, SecretStorage==3.1.2, Send2Trash==1.5.0, simplegeneric==0.8.1, singledispatch==3.4.0.3, sip==4.19.13, six==1.14.0, skein==0.8.0, smart-open==1.11.1, snowballstemmer==2.0.0, sortedcollections==1.1.1, sortedcontainers==2.1.0, soupsieve==1.9.5, spark-nlp==2.5.5, Sphinx==2.4.0, sphinxcontrib-applehelp==1.0.1, sphinxcontrib-devhelp==1.0.1, sphinxcontrib-htmlhelp==1.0.2, sphinxcontrib-jsmath==1.0.1, sphinxcontrib-qthelp==1.0.2, sphinxcontrib-serializinghtml==1.1.3, sphinxcontrib-websupport==1.2.0, spyder==4.0.1, spyder-kernels==1.8.1, SQLAlchemy==1.3.13, stanfordcorenlp==3.9.1.1, statsmodels==0.11.0, sympy==1.5.1, tables==3.6.1, tblib==1.6.0, tensorboard==2.3.0, tensorboard-plugin-wit==1.6.0.post3, tensorflow==2.3.0, tensorflow-estimator==2.3.0, termcolor==1.1.0, terminado==0.8.3, testpath==0.4.4, text-unidecode==1.3, threadpoolctl==2.1.0, thrift==0.13.0, thriftpy2==0.4.11, toml==0.10.0, toolz==0.10.0, tornado==6.0.3, tqdm==4.42.1, traitlets==4.3.3, ujson==1.35, unicodecsv==0.14.1, urllib3==1.25.8, virtualenv==20.0.18, watchdog==0.10.2, wcwidth==0.1.8, webencodings==0.5.1, Werkzeug==1.0.0, widgetsnbextension==3.5.1, wrapt==1.11.2, wurlitzer==2.0.0, xgboost==0.90, xlrd==1.2.0, XlsxWriter==1.2.7, xlwt==1.3.0, xmltodict==0.12.0, yapf==0.28.0, zict==1.0.0, zipp==2.2.0, 2020/09/14 11:28:25.040524285 Checking for jupyter using "/opt/rstudio-connect/mnt/app/python/env/bin/python -m jupyter --version" 2020/09/14 11:28:27.339729859 Checking for nbconvert using "/opt/rstudio-connect/mnt/app/python/env/bin/python -m nbconvert --version" 2020/09/14 11:28:28.731175180 Checking for ipykernel using "/opt/rstudio-connect/mnt/app/python/env/bin/python -m ipykernel --version" 2020/09/14 11:28:32.343057798 Found kernel python-venv: {'resource_dir': '/opt/rstudio-connect/mnt/app/python/env/share/jupyter/kernels/python-venv', 'spec': {'argv': ['/opt/rstudio-connect/mnt/app/python/env/bin/python', '-m', 'ipykernel_launcher', '-f', '{connection_file}'], 'env': {}, 'display_name': 'python-venv', 'language': 'python', 'interrupt_mode': 'signal', 'metadata': {}}} 2020/09/14 11:28:32.343100253 Building "stock-report-jupyter.ipynb" using kernel "python-venv" 2020/09/14 11:28:34.052812802 [NbConvertApp] Converting notebook stock-report-jupyter.ipynb to html 2020/09/14 11:28:36.798460677 [NbConvertApp] Executing notebook with kernel: python-venv 2020/09/14 11:28:43.721372801 [NbConvertApp] ERROR | Error while converting 'stock-report-jupyter.ipynb' 2020/09/14 11:28:43.721387194 Traceback (most recent call last): 2020/09/14 11:28:43.721564481 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 410, in export_single_notebook 2020/09/14 11:28:43.721575535 output, resources = self.exporter.from_filename(notebook_filename, resources=resources) 2020/09/14 11:28:43.721595294 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 179, in from_filename 2020/09/14 11:28:43.721597358 return self.from_file(f, resources=resources, kw) 2020/09/14 11:28:43.721610400 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 197, in from_file 2020/09/14 11:28:43.721611447 return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, kw) 2020/09/14 11:28:43.721620466 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/html.py", line 95, in from_notebook_node 2020/09/14 11:28:43.721621626 return super(HTMLExporter, self).from_notebook_node(nb, resources, kw) 2020/09/14 11:28:43.721630475 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/templateexporter.py", line 307, in from_notebook_node 2020/09/14 11:28:43.721635788 nb_copy, resources = super(TemplateExporter, self).from_notebook_node(nb, resources, kw) 2020/09/14 11:28:43.721646940 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 139, in from_notebook_node 2020/09/14 11:28:43.721649518 nb_copy, resources = self._preprocess(nb_copy, resources) 2020/09/14 11:28:43.721665315 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 316, in _preprocess 2020/09/14 11:28:43.721668645 nbc, resc = preprocessor(nbc, resc) 2020/09/14 11:28:43.721691308 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/preprocessors/base.py", line 47, in call 2020/09/14 11:28:43.721694714 return self.preprocess(nb, resources) 2020/09/14 11:28:43.721712288 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 405, in preprocess 2020/09/14 11:28:43.721714860 nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources) 2020/09/14 11:28:43.721738863 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/preprocessors/base.py", line 69, in preprocess 2020/09/14 11:28:43.721740705 nb.cells[index], resources = self.preprocess_cell(cell, resources, index) 2020/09/14 11:28:43.721779077 File "/mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 448, in preprocess_cell 2020/09/14 11:28:43.721783151 raise CellExecutionError.from_cell_and_msg(cell, out) 2020/09/14 11:28:43.721808140 nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell: 2020/09/14 11:28:43.721810071 ------------------ 2020/09/14 11:28:43.721831038 import datetime 2020/09/14 11:28:43.721836675 import gzip 2020/09/14 11:28:43.721855260 2020/09/14 11:28:43.721856437 import pandas as pd 2020/09/14 11:28:43.721864649 import matplotlib.pyplot as plt 2020/09/14 11:28:43.721865336 2020/09/14 11:28:43.721873403 %matplotlib inline 2020/09/14 11:28:43.721874230 2020/09/14 11:28:43.721881913 prices = pd.read_json(gzip.open('quandl-wiki-tsla.json.gz'), orient='split') 2020/09/14 11:28:43.721882724 2020/09/14 11:28:43.721890930 data=[ 2020/09/14 11:28:43.721891698 [ 2020/09/14 11:28:43.721899497 prices.last('1d')['High'].values[0], 2020/09/14 11:28:43.721900377 prices.last('1d')['Low'].values[0], 2020/09/14 11:28:43.721908160 prices.last('1d')['Volume'].values[0].round(), 2020/09/14 11:28:43.721908960 ], 2020/09/14 11:28:43.721917739 [ 2020/09/14 11:28:43.721918707 prices.asfreq('D').rolling(window=527, min_periods=1).max().last('1d')['High'].values[0], 2020/09/14 11:28:43.721927014 prices.asfreq('D').rolling(window=527, min_periods=1).min().last('1d')['Low'].values[0], 2020/09/14 11:28:43.721927834 prices.asfreq('D').rolling(window=52*7, min_periods=1).mean().last('1d')['Volume'].values[0].round(), 2020/09/14 11:28:43.721936356 ] 2020/09/14 11:28:43.721937099 ] 2020/09/14 11:28:43.722022198 2020/09/14 11:28:43.722026244 pd.DataFrame(data, columns=['High', 'Low', 'Avg Volume'], index=['Most Recent Trading Day', '52-Week']) 2020/09/14 11:28:43.722042695 ------------------ 2020/09/14 11:28:43.722043937 2020/09/14 11:28:43.722052393 --------------------------------------------------------------------------- 2020/09/14 11:28:43.722053357 FileNotFoundError Traceback (most recent call last) 2020/09/14 11:28:43.722062080 in 2020/09/14 11:28:43.722062939 7 get_ipython().run_line_magic('matplotlib', 'inline') 2020/09/14 11:28:43.722079822 8 2020/09/14 11:28:43.722084529 ----> 9 prices = pd.read_json(gzip.open('quandl-wiki-tsla.json.gz'), orient='split') 2020/09/14 11:28:43.722097038 10 2020/09/14 11:28:43.722097963 11 data=[ 2020/09/14 11:28:43.722106297 2020/09/14 11:28:43.722107108 /mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/gzip.py in open(filename, mode, compresslevel, encoding, errors, newline) 2020/09/14 11:28:43.722115096 56 gz_mode = mode.replace("t", "") 2020/09/14 11:28:43.722118591 57 if isinstance(filename, (str, bytes, os.PathLike)): 2020/09/14 11:28:43.722153657 ---> 58 binary_file = GzipFile(filename, gz_mode, compresslevel) 2020/09/14 11:28:43.722155238 59 elif hasattr(filename, "read") or hasattr(filename, "write"): 2020/09/14 11:28:43.722169685 60 binary_file = GzipFile(None, gz_mode, compresslevel, filename) 2020/09/14 11:28:43.722173692 2020/09/14 11:28:43.722182179 /mnt/share/conda/envs/kourou_rev1_python3.8/lib/python3.8/gzip.py in init(self, filename, mode, compresslevel, fileobj, mtime) 2020/09/14 11:28:43.722182974 171 mode += 'b' 2020/09/14 11:28:43.722191292 172 if fileobj is None: 2020/09/14 11:28:43.722197575 --> 173 fileobj = self.myfileobj = builtins.open(filename, mode or 'rb') 2020/09/14 11:28:43.722206630 174 if filename is None: 2020/09/14 11:28:43.722207380 175 filename = getattr(fileobj, 'name', '') 2020/09/14 11:28:43.722215325 2020/09/14 11:28:43.722216101 FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz' 2020/09/14 11:28:43.722223742 FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz' 2020/09/14 11:28:43.722224533 2020/09/14 11:28:43.958903064 Error(s) during cleanup=892 2020/09/14 11:28:43.958924599 Error during wipe - environment may remain 2020/09/14 11:28:43.959222886 nbconvert failed with exit code 1 2020/09/14 11:28:43.723282401 Error code: render-python-code-error

An error occurred while running Python code.

Possible causes:

There is a bug in the Python code being deployed.
The Python code depends on conditions that are not present in Connect.
The Python code depends on a version of Python that is not configured in Connect.

Possible solutions:

Correct bugs in the Python code, then deploy the corrected content.
- The document rendering log in Connect contains details of the error.
- For content published from the RStudio IDE, knitting the document in the IDE may also be helpful for debugging.
- For content published from Jupyter, running the notebook locally may help to isolate the problem.
Install a version of Python on the Connect server that matches the one being used by the client computer, then redeploy the content. You can identify the required Python version from the log messages above, which will contain an entry similar to this:

Bundle requested Python version 3.7.0; using /opt/python/3.5.7/bin/python which has version 3.5.7 In this example, the client computer has Python 3.7.0 and the Connect server has Python version 3.5.7. The recommended solution would be to install Python version 3.7.0 on the Connect server alonside the existing 3.5.7 installation.
If you have previously published this content, viewers will continue to see the last successful output until the error is resolved by republishing.

References:

2020/09/14 11:28:43.723282401 Additional data: Message: 'FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz'' Found in the following log entry: 2020/09/14 11:28:43.722223742 FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz' Error: Task exited with status 1. `

rstudio / rsconnect

Jupyter notebook deployment from terminal: FileNotFoundError: [Errno 2] No such file or directory: 'quandl-wiki-tsla.json.gz' #455