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Add docker.io to more places
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@@ -52,7 +52,7 @@ The output will be similar to:
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* With parameters:
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* APPLICATION_NAME=notebook
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* NOTEBOOK_IMAGE=jupyter/minimal-notebook:latest
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* NOTEBOOK_IMAGE=docker.io/jupyter/minimal-notebook:latest
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* NOTEBOOK_PASSWORD=ded4d7cada554aa48e0db612e1ed1080 # generated
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--> Creating resources ...
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@@ -69,7 +69,7 @@ When no template parameters are provided, the name of the deployed notebook will
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The image used will be:
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```lang-none
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jupyter/minimal-notebook:latest
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docker.io/jupyter/minimal-notebook:latest
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```
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A password you can use when accessing the notebook will be auto generated and is displayed in the output from running `oc new-app`.
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@@ -102,7 +102,7 @@ To override the name for the notebook, the image used, and the password, you can
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```bash
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oc new-app --template jupyter-notebook \
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--param APPLICATION_NAME=mynotebook \
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--param NOTEBOOK_IMAGE=jupyter/scipy-notebook:latest \
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--param NOTEBOOK_IMAGE=docker.io/jupyter/scipy-notebook:latest \
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--param NOTEBOOK_PASSWORD=mypassword
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```
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@@ -213,7 +213,7 @@ you can use the name of the image stream for the image name, including any image
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This can be illustrated by first importing an image into the OpenShift project.
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```bash
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oc import-image jupyter/datascience-notebook:latest --confirm
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oc import-image docker.io/jupyter/datascience-notebook:latest --confirm
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```
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Then deploy it using the name of the image stream created.
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@@ -18,7 +18,7 @@
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},
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{
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"name": "NOTEBOOK_IMAGE",
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"value": "jupyter/minimal-notebook:latest",
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"value": "docker.io/jupyter/minimal-notebook:latest",
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"required": true
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},
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{
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@@ -85,7 +85,6 @@
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"--no-browser",
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"--ip=0.0.0.0"
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],
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"ports": [
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{
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"containerPort": 8888,
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@@ -34,13 +34,13 @@ s2i build \
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--scripts-url https://raw.githubusercontent.com/jupyter/docker-stacks/main/examples/source-to-image \
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--context-dir docs/source/examples/Notebook \
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https://github.com/jupyter/notebook \
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jupyter/minimal-notebook:latest \
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docker.io/jupyter/minimal-notebook:latest \
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notebook-examples
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```
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This example command will pull down the Git repository <https://github.com/jupyter/notebook>
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and build the image `notebook-examples` using the files contained in the `docs/source/examples/Notebook` directory of that Git repository.
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The base image which the files will be combined with is `jupyter/minimal-notebook:latest`, but you can specify any of the Jupyter Project `docker-stacks` images as the base image.
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The base image which the files will be combined with is `docker.io/jupyter/minimal-notebook:latest`, but you can specify any of the Jupyter Project `docker-stacks` images as the base image.
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The resulting image from running the command can be seen by running `docker images` command:
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@@ -147,7 +147,7 @@ oc new-app --template jupyter-notebook-quickstart \
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--param APPLICATION_NAME=notebook-examples \
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--param GIT_REPOSITORY_URL=https://github.com/jupyter/notebook \
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--param CONTEXT_DIR=docs/source/examples/Notebook \
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--param BUILDER_IMAGE=jupyter/minimal-notebook:latest \
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--param BUILDER_IMAGE=docker.io/jupyter/minimal-notebook:latest \
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--param NOTEBOOK_PASSWORD=mypassword
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```
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@@ -22,7 +22,7 @@
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},
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{
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"name": "BUILDER_IMAGE",
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"value": "jupyter/minimal-notebook:latest",
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"value": "docker.io/jupyter/minimal-notebook:latest",
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"required": true
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},
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{
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@@ -125,7 +125,7 @@
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},
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{
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"name": "BUILDER_IMAGE",
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"value": "jupyter/minimal-notebook:latest",
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"value": "docker.io/jupyter/minimal-notebook:latest",
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"required": true
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},
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{
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@@ -279,7 +279,6 @@
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"--no-browser",
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"--ip=0.0.0.0"
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],
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"ports": [
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{
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"containerPort": 8888,
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@@ -4,7 +4,7 @@ The main purpose of the source code in this folder is to properly tag all the im
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These two processes are closely related, so the source code is widely reused.
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A basic example of a tag is a `python` version tag.
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For example, an image `jupyter/base-notebook` with `python 3.10.5` will have a tag `jupyter/base-notebook:python-3.10.5`.
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For example, an image `jupyter/base-notebook` with `python 3.10.5` will have a full image name `docker.io/jupyter/base-notebook:python-3.10.5`.
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This tag (and all the other tags) are pushed to Docker Hub.
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Manifest is a description of some important part of the image in a `markdown`.
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