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- name: '[script] deploy — sf data-code-extension script deploy'
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env:
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NODE_EXTRA_CA_CERTS: ${{ env.MOCK_SF_CERT_FILE }}
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REQUESTS_CA_BUNDLE: ${{ env.MOCK_SF_CERT_FILE }}
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run: |
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sf data-code-extension script deploy \
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--name test-script-deploy \
@@ -262,6 +280,9 @@ jobs:
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# ── Function: run ─────────────────────────────────────────────────────────
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- name: '[function] run — sf data-code-extension function run --entrypoint testFunction/payload/entrypoint.py --test-with testFunction/payload/tests/test.json -o dev1'
Copy file name to clipboardExpand all lines: README.md
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@@ -509,7 +509,7 @@ exploration. Instead of running an entire script, one can run one code cell at
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You can read more about Jupyter Notebooks here: https://jupyter.org/
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1. Within the root project of your package folder, run `./jupyterlab.sh start`
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1. Within the root project of your package folder, run `./jupyterlab.sh start`. This prints an access token and opens an already-authenticated JupyterLab session in your browser. If the browser doesn't open automatically, copy the printed `http://localhost:8888/?token=...` URL into your browser.
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1. Double-click on "account.ipynb" file, which provides a starting point for a notebook
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1. Use shift+enter to execute each cell within the notebook. Add/edit/delete cells of code as needed for your data exploration.
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1. Don't forget to run `./jupyterlab.sh stop` to stop the docker container
@@ -600,4 +600,4 @@ If you're using OAuth Tokens authentication, the initial configure will retrieve
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