feat: move oauth2 proxy doc to common/oauth2-proxy/README.md.

Signed-off-by: Cyber Nagle <[email protected]>
kubeflow · Oct 8, 2024 · 3b90ed9 · 3b90ed9
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diff --git a/README.md b/README.md
@@ -244,6 +244,8 @@ kubectl wait --for=condition=ready pod -l 'app.kubernetes.io/name=oauth2-proxy'
 
 It supports user sessions as well as proper token-based machine to machine authentication.
 
+Also, if you need to use OAuth2 Proxy only for the Kubeflow Platform, you can refer to this [doc](common/oauth2-proxy/README.md#change-default-authentication-from-dex--oauth2-proxy-to-oauth2-proxy-only)
+
 #### Dex
 
 Dex is an OpenID Connect Identity (OIDC) with multiple authentication backends. In this default installation, it includes a static user with email `[email protected]`. By default, the user's password is `12341234`. For any production Kubeflow deployment, you should change the default password by following [the relevant section](#change-default-user-password).
@@ -559,65 +561,6 @@ For example, running the above command locally with required packages like _pass
 
 4. Try to login using the new dex password.
 
-### Change default authentication from "dex + oauth2-proxy" to "oauth2-proxy" only
-
-![auth-flow](common/oauth2-proxy/components/oauth2-flow.svg)
-
-kubeflow platform is using Istio Ingress Gateway as its entrypoint. 
-
-For the authentication part ,it used Envoy Filter to forward request to Dex(blue lines), and Dex was used as a proxy to retrieve JWT tokens and perform authentication. 
-
-With Kubeflow 1.8 , it integrates with OAuth2 Proxy in Istio Provider, as the Istio Provider is now an industry standard. 
-
-For out-of-the-box purposes, it still uses Dex as an identity provider, but you are now able to use OAuth2 Proxy to directly connect 
-to your own IdP(Identity Provider: GCP, [AWS](https://docs.aws.amazon.com/cognito/latest/developerguide/federation-endpoints-oauth-grants.html), Azure and so on) 
-
-To do so, what you need to do is as follows:
-1. create an application on your IdP(purple line)
-2. change your [OAuth2 Proxy issuer](https://github.com/kubeflow/manifests/blob/35539f162ea7fafc8c5035d8df0d8d8cf5a9d327/common/oauth2-proxy/base/oauth2-proxy-config.yaml#L10) to your IdP. 
-3. Under the istio-system namespace, there is a RequestAuthentication resource , you also need to change its issuer to your own IdP.(or you can just directly write a new one)
-4. Finally, you can now directly issue a token from your IdP and use this token to access your Kubeflow platform. 
-
-This feature is useful when you need to integrate kubeflow with you current CI/CD platform(eg.,Jenkins), you can now perform M2M(machine-to-machine) authentication. below is a Python code example to use it.
-
-
-get JWT token From your IDP
-
-```
-import requests
-
-# idp configuration 
-token_url = "https://your-idp.com/oauth/token"
-client_id = "YOUR_CLIENT_ID"
-client_secret = "YOUR_CLIENT_SECRET"
-username = "YOUR_USERNAME"
-password = "YOUR_PASSWORD"
-# request header
-headers = {
-    "Content-Type": "application/x-www-form-urlencoded"
-}
-data = {
-    "grant_type": "password",
-    "client_id": client_id,
-    "client_secret": client_secret,
-    "username": username,
-    "password": password,
-    "scope": "openid profile email"  #change your scope
-}
-response = requests.post(token_url, headers=headers, data=data)
-TOKEN = response.json()['access_token']
-```
-
-use token to call kubeflow
-```
-import kfp
-kubeflow_host="https://your_host"
-pipeline_host = kubeflow_host + "/pipeline" 
-
-client = kfp.Client(host=pipeline_host, existing_token=TOKEN)
-
-print(client.list_runs(namespace="your-profile-name"))
-```
 
 
 ## Upgrading and extending

diff --git a/common/oauth2-proxy/README.md b/common/oauth2-proxy/README.md
@@ -77,9 +77,70 @@ when client calls API to list the KF Pipeline Runs:
      ```
 
 ### Auth analysis diagram for Kubeflow Pipelines
-
 ![Kubeflow Auth Diagram](./components/kubeflow_auth_diagram.svg)
 
+### Change default authentication from "dex + oauth2-proxy" to "oauth2-proxy" only
+
+![auth-flow](components/oauth2-flow.svg)
+
+kubeflow platform is using Istio Ingress Gateway as its entrypoint. 
+
+For the authentication part ,it used Envoy Filter to forward request to Dex(blue lines), and Dex was used as a proxy to retrieve JWT tokens and perform authentication. 
+
+With Kubeflow 1.8 , it integrates with OAuth2 Proxy in Istio Provider, as the Istio Provider is now an industry standard. 
+
+For out-of-the-box purposes, it still uses Dex as an identity provider, but you are now able to use OAuth2 Proxy to directly connect 
+to your own IdP(Identity Provider: GCP, [AWS](https://docs.aws.amazon.com/cognito/latest/developerguide/federation-endpoints-oauth-grants.html), Azure and so on) 
+
+To do so, what you need to do is as follows:
+1. create an application on your IdP(purple line)
+2. change your [OAuth2 Proxy issuer](https://github.com/kubeflow/manifests/blob/35539f162ea7fafc8c5035d8df0d8d8cf5a9d327/common/oauth2-proxy/base/oauth2-proxy-config.yaml#L10) to your IdP. 
+3. Under the istio-system namespace, there is a RequestAuthentication resource , you also need to change its issuer to your own IdP.(or you can just directly write a new one)
+4. Finally, you can now directly issue a token from your IdP and use this token to access your Kubeflow platform. 
+
+This feature is useful when you need to integrate kubeflow with you current CI/CD platform(eg.,Jenkins), you can now perform M2M(machine-to-machine) authentication. below is a Python code example to use it.
+
+
+get JWT token From your IDP
+
+```
+import requests
+
+# idp configuration 
+token_url = "https://your-idp.com/oauth/token"
+client_id = "YOUR_CLIENT_ID"
+client_secret = "YOUR_CLIENT_SECRET"
+username = "YOUR_USERNAME"
+password = "YOUR_PASSWORD"
+# request header
+headers = {
+    "Content-Type": "application/x-www-form-urlencoded"
+}
+data = {
+    "grant_type": "password",
+    "client_id": client_id,
+    "client_secret": client_secret,
+    "username": username,
+    "password": password,
+    "scope": "openid profile email"  #change your scope
+}
+response = requests.post(token_url, headers=headers, data=data)
+TOKEN = response.json()['access_token']
+```
+
+use token to call kubeflow
+```
+import kfp
+kubeflow_host="https://your_host"
+pipeline_host = kubeflow_host + "/pipeline" 
+
+client = kfp.Client(host=pipeline_host, existing_token=TOKEN)
+
+print(client.list_runs(namespace="your-profile-name"))
+```
+
+
+
 ## Kubeflow Notebooks User and M2M Authentication and Authorization
 
 The underlying mechanism is the same as in Kubeflow Pipelines.