[PIO-129] Move CLI document

Closes #438
apache · Oct 6, 2017 · f92d2ac · f92d2ac
1 parent 5f8a0c9
commit f92d2ac
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Showing 3 changed files with 9 additions and 8 deletions.
diff --git a/docs/manual/data/nav/main.yml b/docs/manual/data/nav/main.yml
@@ -58,9 +58,6 @@ root:
       -
         body: 'Deploying as a Web Service'
         url: '/deploy/'
-      -
-        body: 'Engine Command-line Interface'
-        url: '/cli/#engine-commands'
       -
         body: 'Batch Predictions'
         url: '/batchpredict/'
@@ -96,9 +93,6 @@ root:
       -
         body: 'Event Server Overview'
         url: '/datacollection/'
-      -
-        body: 'Event Server Command-line Interface'
-        url: '/cli/#event-server-commands'
       -
         body: 'Collecting Data with REST/SDKs'
         url: '/datacollection/eventapi/'
@@ -321,6 +315,9 @@ root:
     body: 'Resources'
     url: '#'
     children:
+      -
+        body: 'Command-line Interface'
+        url: '/cli/'
       -
         body: 'Release Cadence'
         url: '/resources/release/'

diff --git a/docs/manual/source/datacollection/eventapi.html.md b/docs/manual/source/datacollection/eventapi.html.md
@@ -428,3 +428,5 @@ Please use the following CLI command:
 ```
 $ pio app data-delete <your_app_name>
 ```
+
+INFO: See [here](/cli/#event-server-commands) to know details of command-line interface for the event server.
diff --git a/docs/manual/source/deploy/index.html.md b/docs/manual/source/deploy/index.html.md
@@ -31,8 +31,10 @@ After you have [downloaded an Engine Template](/start/download/),  you can deplo
 
 1. Run `pio app new **your-app-name-here**` and specify the `appName` used in the template's *engine.json* file (you can set it there to your preference).
 2. Run `pio build` to update the engine
-2. Run `pio train` to train a predictive model with training data
-3. Run `pio deploy` to deploy the engine as a service
+3. Run `pio train` to train a predictive model with training data
+4. Run `pio deploy` to deploy the engine as a service
+
+INFO: See [here](/cli/#engine-commands) to know details of command-line interface for the engine server.
 
 A deployed engine listens to port 8000 by default. Your application can [send query to retrieve prediction](/appintegration/) in real-time through the REST interface.