chore: Update discovery artifacts (#1523)
## Deleted keys were detected in the following stable discovery artifacts:
displayvideo v1 https://github.com/googleapis/google-api-python-client/commit/22caa4f2f8ecb0f0ad6cfac547f9deb76fdcbebb
memcache v1 https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b
## Deleted keys were detected in the following pre-stable discovery artifacts:
memcache v1beta2 https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b
## Discovery Artifact Change Summary:
feat(apigee): update the api https://github.com/googleapis/google-api-python-client/commit/0e4fed7f1e08a616cbc81243c24391bc20ce5edb
feat(bigquery): update the api https://github.com/googleapis/google-api-python-client/commit/04e112ce89d6ddb3aeaae889c2de36070d6c2814
feat(bigtableadmin): update the api https://github.com/googleapis/google-api-python-client/commit/6b77931c3c9aba59d5b326c570a2080252c8beb1
feat(cloudprofiler): update the api https://github.com/googleapis/google-api-python-client/commit/3009ee3c238ae1fa51c529e9f187ec26693138a4
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/e5d01ecee51da0c7a2543b833a1395a94c27bef6
feat(dataproc): update the api https://github.com/googleapis/google-api-python-client/commit/fec73562a93b5a532bce6c91f0d30ec4fbd54ddb
feat(displayvideo): update the api https://github.com/googleapis/google-api-python-client/commit/22caa4f2f8ecb0f0ad6cfac547f9deb76fdcbebb
feat(documentai): update the api https://github.com/googleapis/google-api-python-client/commit/444836b9afe8d3eb8d52a1431652bfda1ad3288b
feat(healthcare): update the api https://github.com/googleapis/google-api-python-client/commit/2f3173aa4b4d154c909eea853a0c4c306834e0ab
feat(ideahub): update the api https://github.com/googleapis/google-api-python-client/commit/8ebf9d2bd419561d5eacb78823aa1fc519fe2710
feat(memcache): update the api https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b
feat(mybusinesslodging): update the api https://github.com/googleapis/google-api-python-client/commit/c51a0d15e634c2ab1c7762533f33d59f10b01875
feat(speech): update the api https://github.com/googleapis/google-api-python-client/commit/bf6e86f6ee8c3985e1ce6f0475ef4f8685b52060
feat(streetviewpublish): update the api https://github.com/googleapis/google-api-python-client/commit/c8cf30cd67f5588d7cbe60631e42f0a49ea6c307
feat(youtube): update the api https://github.com/googleapis/google-api-python-client/commit/855cbfea1f6d46af07c4b80ab26fc30ca46370b7
diff --git a/docs/dyn/dialogflow_v2beta1.projects.agent.html b/docs/dyn/dialogflow_v2beta1.projects.agent.html
index cf3a0c3..8ec1f14 100644
--- a/docs/dyn/dialogflow_v2beta1.projects.agent.html
+++ b/docs/dyn/dialogflow_v2beta1.projects.agent.html
@@ -109,7 +109,7 @@
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#export">export(parent, body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Exports the specified agent to a ZIP file.</p>
+<p class="firstline">Exports the specified agent to a ZIP file. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: ExportAgentResponse</p>
<p class="toc_element">
<code><a href="#getFulfillment">getFulfillment(name, x__xgafv=None)</a></code></p>
<p class="firstline">Retrieves the fulfillment.</p>
@@ -118,10 +118,10 @@
<p class="firstline">Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.</p>
<p class="toc_element">
<code><a href="#import_">import_(parent, body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
+<p class="firstline">Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) The operation only tracks when importing is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
<p class="toc_element">
<code><a href="#restore">restore(parent, body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
+<p class="firstline">Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) The operation only tracks when restoring is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
<p class="toc_element">
<code><a href="#search">search(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id "-". Refer to [List Sub-Collections](https://cloud.google.com/apis/design/design_patterns#list_sub-collections).</p>
@@ -130,7 +130,7 @@
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
<code><a href="#train">train(parent, body=None, x__xgafv=None)</a></code></p>
-<p class="firstline">Trains the specified agent. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
+<p class="firstline">Trains the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).</p>
<p class="toc_element">
<code><a href="#updateFulfillment">updateFulfillment(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates the fulfillment.</p>
@@ -142,7 +142,7 @@
<div class="method">
<code class="details" id="export">export(parent, body=None, x__xgafv=None)</code>
- <pre>Exports the specified agent to a ZIP file.
+ <pre>Exports the specified agent to a ZIP file. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: ExportAgentResponse
Args:
parent: string, Required. The project that the agent to export is associated with. Format: `projects/` or `projects//locations/`. (required)
@@ -247,7 +247,7 @@
<div class="method">
<code class="details" id="import_">import_(parent, body=None, x__xgafv=None)</code>
- <pre>Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
+ <pre>Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) The operation only tracks when importing is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
Args:
parent: string, Required. The project that the agent to import is associated with. Format: `projects/` or `projects//locations/`. (required)
@@ -290,7 +290,7 @@
<div class="method">
<code class="details" id="restore">restore(parent, body=None, x__xgafv=None)</code>
- <pre>Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
+ <pre>Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) The operation only tracks when restoring is complete, not when it is done training. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
Args:
parent: string, Required. The project that the agent to restore is associated with. Format: `projects/` or `projects//locations/`. (required)
@@ -386,7 +386,7 @@
<div class="method">
<code class="details" id="train">train(parent, body=None, x__xgafv=None)</code>
- <pre>Trains the specified agent. Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
+ <pre>Trains the specified agent. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) Note: You should always train an agent prior to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/es/docs/training).
Args:
parent: string, Required. The project that the agent to train is associated with. Format: `projects/` or `projects//locations/`. (required)