docs: update generated docs (#1053)
Updates for both discovery docs and epydoc API Documentation
Fixes: #1049
diff --git a/docs/dyn/compute_beta.autoscalers.html b/docs/dyn/compute_beta.autoscalers.html
index d6db447..f5b92bd 100644
--- a/docs/dyn/compute_beta.autoscalers.html
+++ b/docs/dyn/compute_beta.autoscalers.html
@@ -75,12 +75,15 @@
<h1><a href="compute_beta.html">Compute Engine API</a> . <a href="compute_beta.autoscalers.html">autoscalers</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
- <code><a href="#aggregatedList">aggregatedList(project, filter=None, includeAllScopes=None, maxResults=None, orderBy=None, pageToken=None)</a></code></p>
+ <code><a href="#aggregatedList">aggregatedList(project, filter=None, includeAllScopes=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None)</a></code></p>
<p class="firstline">Retrieves an aggregated list of autoscalers.</p>
<p class="toc_element">
<code><a href="#aggregatedList_next">aggregatedList_next(previous_request, previous_response)</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
+ <code><a href="#close">close()</a></code></p>
+<p class="firstline">Close httplib2 connections.</p>
+<p class="toc_element">
<code><a href="#delete">delete(project, zone, autoscaler, requestId=None)</a></code></p>
<p class="firstline">Deletes the specified autoscaler.</p>
<p class="toc_element">
@@ -90,7 +93,7 @@
<code><a href="#insert">insert(project, zone, body=None, requestId=None)</a></code></p>
<p class="firstline">Creates an autoscaler in the specified project using the data included in the request.</p>
<p class="toc_element">
- <code><a href="#list">list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None)</a></code></p>
+ <code><a href="#list">list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None)</a></code></p>
<p class="firstline">Retrieves a list of autoscalers contained within the specified zone.</p>
<p class="toc_element">
<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
@@ -106,7 +109,7 @@
<p class="firstline">Updates an autoscaler in the specified project using the data included in the request.</p>
<h3>Method Details</h3>
<div class="method">
- <code class="details" id="aggregatedList">aggregatedList(project, filter=None, includeAllScopes=None, maxResults=None, orderBy=None, pageToken=None)</code>
+ <code class="details" id="aggregatedList">aggregatedList(project, filter=None, includeAllScopes=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None)</code>
<pre>Retrieves an aggregated list of autoscalers.
Args:
@@ -126,6 +129,7 @@
Currently, only sorting by `name` or `creationTimestamp desc` is supported.
pageToken: string, Specifies a page token to use. Set `pageToken` to the `nextPageToken` returned by a previous list request to get the next page of results.
+ returnPartialSuccess: boolean, Opt-in for partial success behavior which provides partial results in case of failure. The default value is false and the logic is the same as today.
Returns:
An object of the form:
@@ -153,6 +157,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -273,6 +278,9 @@
"kind": "compute#autoscalerAggregatedList", # [Output Only] Type of resource. Always compute#autoscalerAggregatedList for aggregated lists of autoscalers.
"nextPageToken": "A String", # [Output Only] This token allows you to get the next page of results for list requests. If the number of results is larger than maxResults, use the nextPageToken as a value for the query parameter pageToken in the next list request. Subsequent list requests will have their own nextPageToken to continue paging through the results.
"selfLink": "A String", # [Output Only] Server-defined URL for this resource.
+ "unreachables": [ # [Output Only] Unreachable resources.
+ "A String",
+ ],
"warning": { # [Output Only] Informational warning message.
"code": "A String", # [Output Only] A warning code, if applicable. For example, Compute Engine returns NO_RESULTS_ON_PAGE if there are no results in the response.
"data": [ # [Output Only] Metadata about this warning in key: value format. For example:
@@ -302,6 +310,11 @@
</div>
<div class="method">
+ <code class="details" id="close">close()</code>
+ <pre>Close httplib2 connections.</pre>
+</div>
+
+<div class="method">
<code class="details" id="delete">delete(project, zone, autoscaler, requestId=None)</code>
<pre>Deletes the specified autoscaler.
@@ -408,6 +421,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -541,6 +555,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -715,7 +730,7 @@
</div>
<div class="method">
- <code class="details" id="list">list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None)</code>
+ <code class="details" id="list">list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None, returnPartialSuccess=None)</code>
<pre>Retrieves a list of autoscalers contained within the specified zone.
Args:
@@ -735,6 +750,7 @@
Currently, only sorting by `name` or `creationTimestamp desc` is supported.
pageToken: string, Specifies a page token to use. Set `pageToken` to the `nextPageToken` returned by a previous list request to get the next page of results.
+ returnPartialSuccess: boolean, Opt-in for partial success behavior which provides partial results in case of failure. The default value is false and the logic is the same as today.
Returns:
An object of the form:
@@ -760,6 +776,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -923,6 +940,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -1153,6 +1171,7 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # Indicates which method of prediction is used for CPU utilization metric, if any. Current set of possible values: * NONE: No predictions are made based on the scaling metric when calculating the number of VM instances. * OPTIMIZE_AVAILABILITY: Standard predictive autoscaling predicts the future values of the scaling metric and then scales a MIG to ensure that new VM instances are ready in time to cover the predicted peak. New values might be added in the future. Some of the values might not be available in all API versions.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler should maintain. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.