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jjfrench merged 3 commits into from
Aug 25, 2026
Merged

chore: remove cognito usage #290

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033e8fd
chore: remove cognito usage
jjfrench Aug 25, 2026
122ca5d
chore: update lockfile
jjfrench Aug 25, 2026
daa6e26
chore: remove cognito wording
jjfrench Aug 25, 2026
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5 changes: 0 additions & 5 deletions .github/workflows/build-to-binder.yml
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Expand Up @@ -12,8 +12,3 @@ jobs:
with:
NO_PUSH: true
MYBINDERORG_TAG: ${{ github.event.ref }}
BUILDKIT_PROGRESS: plain
DOCKER_BUILDKIT: 1
env:
BUILDKIT_INLINE_CACHE: 0
CURL_CA_BUNDLE: ""
1 change: 0 additions & 1 deletion pyproject.toml
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Expand Up @@ -3,7 +3,6 @@ name = "veda-docs"
version = "0.1.0"
requires-python = ">=3.12,<3.14"
dependencies = [
"cognito_client",
"sphinx>=1.4",
"nbconvert",
"ipykernel~=6.4.1",
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4 changes: 2 additions & 2 deletions user-guide/content-curation/dataset-ingestion/file-preparation.qmd
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Expand Up @@ -5,7 +5,7 @@ subtitle: "How to create valid cloud-optimized data files and upload them to the

## STEP I: Prepare the data

VEDA supports inclusion of cloud optimized GeoTIFFs (COGs) to its data store.
VEDA supports inclusion of cloud optimized GeoTIFFs (COGs) to its data store through the [VEDA JupyterHub](https://docs.openveda.cloud/user-guide/scientific-computing/getting-access.html).

### Create proper Cloud-Optimized GeoTIFFs (COGs)

Expand Down Expand Up @@ -80,7 +80,7 @@ Make sure that the COG filename is meaningful and contains the datetime associat

## STEP II: Upload to the VEDA data store

Once you have the COGs, obtain permissions (`Cognito` credentials) from the VEDA team to upload them to the `veda-data-store-staging` bucket.
Once you have the COGs, upload them to the `veda-data-store-staging` bucket.

Upload the data to a sensible location inside the bucket.
Example: `s3://veda-data-store-staging/<collection-id>/`
35 changes: 0 additions & 35 deletions user-guide/notebooks/datasets/cognito_login.py
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12 changes: 0 additions & 12 deletions user-guide/notebooks/datasets/nceo-biomass-statistics.ipynb
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Expand Up @@ -26,22 +26,10 @@
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/datasets/nceo-biomass-statistics.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
"The data is in a protected bucket. Please request access by emailng aimee@developmentseed.org or alexandra@developmentseed.org and providing your affiliation, interest in or expected use of the dataset and an AWS IAM role or user Amazon Resource Name (ARN). The team will help you configure the cognito client.\n",
"\n",
"You should then run:\n",
"\n",
"```\n",
"%run -i 'cognito_login.py'\n",
"```\n",
" \n",
"</details>"
]
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12 changes: 0 additions & 12 deletions user-guide/notebooks/datasets/nldas_compare2_3.ipynb
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Expand Up @@ -24,22 +24,10 @@
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/datasets/nldas_compare2_3.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
"The data is in a protected bucket. Please request access by emailng aimee@developmentseed.org or alexandra@developmentseed.org and providing your affiliation, interest in or expected use of the dataset and an AWS IAM role or user Amazon Resource Name (ARN). The team will help you configure the cognito client.\n",
"\n",
"You should then run:\n",
"\n",
"```\n",
"%run -i 'cognito_login.py'\n",
"```\n",
" \n",
"</details>"
]
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12 changes: 0 additions & 12 deletions user-guide/notebooks/datasets/nldas_time_series.ipynb
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Expand Up @@ -26,22 +26,10 @@
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/datasets/nldas_time_series.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
"The data is in a protected bucket. Please request access by emailng aimee@developmentseed.org or alexandra@developmentseed.org and providing your affiliation, interest in or expected use of the dataset and an AWS IAM role or user Amazon Resource Name (ARN). The team will help you configure the cognito client.\n",
"\n",
"You should then run:\n",
"\n",
"```\n",
"%run -i 'cognito_login.py'\n",
"```\n",
" \n",
"</details>"
]
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35 changes: 0 additions & 35 deletions user-guide/notebooks/quickstarts/cognito_login.py
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12 changes: 0 additions & 12 deletions user-guide/notebooks/quickstarts/download-assets.ipynb
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Expand Up @@ -26,23 +26,11 @@
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/quickstarts/download-assets.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
"The data is in a protected bucket. Please request access by emailng aimee@developmentseed.org or alexandra@developmentseed.org and providing your affiliation, interest in or expected use of the dataset and an AWS IAM role or user Amazon Resource Name (ARN). The team will help you configure the cognito client.\n",
"\n",
"You should then run:\n",
"\n",
"```\n",
"%run -i 'cognito_login.py'\n",
"```\n",
" \n",
"</details>"
]
},
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14 changes: 1 addition & 13 deletions user-guide/notebooks/quickstarts/downsample-zarr.ipynb
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Expand Up @@ -25,25 +25,13 @@
"\n",
"You can launch this notebook in VEDA JupyterHub by clicking the link below.\n",
"\n",
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/quickstarts/visualizing-zarr.ipynb&branch=main) \n",
"[Launch in VEDA JupyterHub (requires access)](https://hub.openveda.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&urlpath=lab/tree/veda-docs/user-guide/notebooks/quickstarts/downsample-zarr.ipynb&branch=main) \n",
"\n",
"<details><summary>Learn more</summary>\n",
" \n",
"### Inside the Hub\n",
"\n",
"This notebook was written on the VEDA JupyterHub and as such is designed to be run on a jupyterhub which is associated with an AWS IAM role which has been granted permissions to the VEDA data store via its bucket policy. The instance used provided 16GB of RAM. \n",
"\n",
"See (VEDA Analytics JupyterHub Access)[https://nasa-impact.github.io/veda-docs/veda-jh-access.html] for information about how to gain access.\n",
"\n",
"### Outside the Hub\n",
"\n",
"The data is in a protected bucket. Please request access by emailng aimee@developmentseed.org or alexandra@developmentseed.org and providing your affiliation, interest in or expected use of the dataset and an AWS IAM role or user Amazon Resource Name (ARN). The team will help you configure the cognito client.\n",
"\n",
"You should then run:\n",
"\n",
"```\n",
"%run -i 'cognito_login.py'\n",
"```\n",
" \n",
"</details>"
]
Expand Down
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