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## Discovery Artifact Change Summary:
alertcenterv1beta1[ [More details]](1cf2d15)
dataprocv1[ [More details]](5e0b5ac)
filev1beta1[ [More details]](f9837f0)
retailv2alpha[ [More details]](16b9239)
feat(alertcenter): update the api
chore(assuredworkloads): update the api
chore(bigqueryconnection): update the api
chore(classroom): update the api
chore(datamigration): update the api
feat(dataproc): update the api
chore(eventarc): update the api
feat(file): update the api
chore(playablelocations): update the api
feat(retail): update the api
chore(searchconsole): update the api
chore(servicecontrol): update the api
chore(speech): update the api
chore(vectortile): update the api
chore(docs): Add new discovery artifacts and reference documents
Copy file name to clipboardExpand all lines: docs/dyn/file_v1beta1.projects.locations.backups.html
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"a_key": "A String",
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},
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"name": "A String", # Output only. The resource name of the backup, in the format projects/{project_id}/locations/{location_id}/backups/{backup_id}.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"sourceFileShare": "A String", # Name of the file share in the source Cloud Filestore instance that the backup is created from.
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"sourceInstance": "A String", # The resource name of the source Cloud Filestore instance, in the format projects/{project_id}/locations/{location_id}/instances/{instance_id}, used to create this backup.
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"sourceInstanceTier": "A String", # Output only. The service tier of the source Cloud Filestore instance that this backup is created from.
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"a_key": "A String",
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},
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"name": "A String", # Output only. The resource name of the backup, in the format projects/{project_id}/locations/{location_id}/backups/{backup_id}.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"sourceFileShare": "A String", # Name of the file share in the source Cloud Filestore instance that the backup is created from.
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"sourceInstance": "A String", # The resource name of the source Cloud Filestore instance, in the format projects/{project_id}/locations/{location_id}/instances/{instance_id}, used to create this backup.
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"sourceInstanceTier": "A String", # Output only. The service tier of the source Cloud Filestore instance that this backup is created from.
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"a_key": "A String",
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},
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"name": "A String", # Output only. The resource name of the backup, in the format projects/{project_id}/locations/{location_id}/backups/{backup_id}.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"sourceFileShare": "A String", # Name of the file share in the source Cloud Filestore instance that the backup is created from.
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"sourceInstance": "A String", # The resource name of the source Cloud Filestore instance, in the format projects/{project_id}/locations/{location_id}/instances/{instance_id}, used to create this backup.
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"sourceInstanceTier": "A String", # Output only. The service tier of the source Cloud Filestore instance that this backup is created from.
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"a_key": "A String",
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},
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"name": "A String", # Output only. The resource name of the backup, in the format projects/{project_id}/locations/{location_id}/backups/{backup_id}.
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"satisfiesPzs": True or False, # Output only. Reserved for future use.
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"sourceFileShare": "A String", # Name of the file share in the source Cloud Filestore instance that the backup is created from.
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"sourceInstance": "A String", # The resource name of the source Cloud Filestore instance, in the format projects/{project_id}/locations/{location_id}/instances/{instance_id}, used to create this backup.
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"sourceInstanceTier": "A String", # Output only. The service tier of the source Cloud Filestore instance that this backup is created from.
Copy file name to clipboardExpand all lines: docs/dyn/networkconnectivity_v1alpha1.projects.locations.global_.hubs.html
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"a_key": "A String",
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},
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"name": "A String", # Immutable. The name of a Hub resource.
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"spokes": [ # Output only. A list of the URIs of all attached spokes. This field is deprecated and will not be included in future API versions. Call ListSpokes on each region instead.
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"spokes": [ # Output only. A list of the URIs of all attached spokes
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"A String",
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],
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"state": "A String", # Output only. The current lifecycle state of this Hub.
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"a_key": "A String",
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},
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"name": "A String", # Immutable. The name of a Hub resource.
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"spokes": [ # Output only. A list of the URIs of all attached spokes. This field is deprecated and will not be included in future API versions. Call ListSpokes on each region instead.
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"spokes": [ # Output only. A list of the URIs of all attached spokes
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"A String",
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],
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"state": "A String", # Output only. The current lifecycle state of this Hub.
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"a_key": "A String",
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},
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"name": "A String", # Immutable. The name of a Hub resource.
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"spokes": [ # Output only. A list of the URIs of all attached spokes. This field is deprecated and will not be included in future API versions. Call ListSpokes on each region instead.
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"spokes": [ # Output only. A list of the URIs of all attached spokes
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"A String",
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],
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"state": "A String", # Output only. The current lifecycle state of this Hub.
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"a_key": "A String",
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},
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"name": "A String", # Immutable. The name of a Hub resource.
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"spokes": [ # Output only. A list of the URIs of all attached spokes. This field is deprecated and will not be included in future API versions. Call ListSpokes on each region instead.
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"spokes": [ # Output only. A list of the URIs of all attached spokes
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"A String",
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],
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"state": "A String", # Output only. The current lifecycle state of this Hub.
Copy file name to clipboardExpand all lines: docs/dyn/networkconnectivity_v1alpha1.projects.locations.html
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Args:
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name: string, The resource that owns the locations collection, if applicable. (required)
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filter: string, A filter to narrow down results to a preferred subset. The filtering language accepts strings like "displayName=tokyo", and is documented in more detail in [AIP-160](https://google.aip.dev/160).
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pageSize: integer, The maximum number of results to return. If not set, the service selects a default.
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pageSize: integer, The maximum number of results to return. If not set, the service will select a default.
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pageToken: string, A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.
Copy file name to clipboardExpand all lines: docs/dyn/retail_v2.projects.locations.catalogs.placements.html
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"params": { # Additional domain specific parameters for the predictions. Allowed values: * `returnProduct`: Boolean. If set to true, the associated product object will be returned in the `results.metadata` field in the prediction response. * `returnScore`: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the `results.metadata` field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
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"a_key": "",
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},
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"userEvent": { # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. # Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.
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"userEvent": { # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. Next tag: 22 # Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.
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"attributes": { # Extra user event features to include in the recommendation model. The key must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
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"a_key": { # A custom attribute that is not explicitly modeled in Product.
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"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". At most 400 values are allowed.Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
Copy file name to clipboardExpand all lines: docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html
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},
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"userEventInlineSource": { # The inline source for the input config for ImportUserEvents method. # Required. The Inline source for the input content for UserEvents.
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"userEvents": [ # Required. A list of user events to import. Recommended max of 10k items.
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website.
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. Next tag: 22
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"attributes": { # Extra user event features to include in the recommendation model. The key must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
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"a_key": { # A custom attribute that is not explicitly modeled in Product.
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"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". At most 400 values are allowed.Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
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body: object, The request body.
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The object takes the form of:
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website.
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. Next tag: 22
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"attributes": { # Extra user event features to include in the recommendation model. The key must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
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"a_key": { # A custom attribute that is not explicitly modeled in Product.
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"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". At most 400 values are allowed.Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
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Returns:
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An object of the form:
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website.
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{ # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. Next tag: 22
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"attributes": { # Extra user event features to include in the recommendation model. The key must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
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"a_key": { # A custom attribute that is not explicitly modeled in Product.
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"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". At most 400 values are allowed.Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
Copy file name to clipboardExpand all lines: docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html
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"params": { # Additional domain specific parameters for the predictions. Allowed values: * `returnProduct`: Boolean. If set to true, the associated product object will be returned in the `results.metadata` field in the prediction response. * `returnScore`: Boolean. If set to true, the prediction 'score' corresponding to each returned product will be set in the `results.metadata` field in the prediction response. The given 'score' indicates the probability of an product being clicked/purchased given the user's context and history. * `strictFiltering`: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular products instead of empty if your filter blocks all prediction results.
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"a_key": "",
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},
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"userEvent": { # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. # Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.
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"userEvent": { # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. Next tag: 22 # Required. Context about the user, what they are looking at and what action they took to trigger the predict request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.
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"attributes": { # Extra user event features to include in the recommendation model. The key must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. For product recommendation, an example of extra user information is traffic_channel, i.e. how user arrives at the site. Users can arrive at the site by coming to the site directly, or coming through Google search, and etc.
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"a_key": { # A custom attribute that is not explicitly modeled in Product.
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"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". At most 400 values are allowed.Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
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},
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"referrerUri": "A String", # The referrer URL of the current page. When using the client side event reporting with JavaScript pixel and Google Tag Manager, this value is filled in automatically.
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"searchQuery": "A String", # The user's search query. The value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. At least one of search_query or page_categories is required for `search` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
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"sessionId": "A String", # Represents the user sessions to aggregate user behavior within a time period. If not set, heuristics will be used to autogenerate one.
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"uri": "A String", # Complete URL (window.location.href) of the user's current page. When using the client side event reporting with JavaScript pixel and Google Tag Manager, this value is filled in automatically. Maximum length 5,000 characters.
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"userInfo": { # Information of an end user. # User information.
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"directUserRequest": True or False, # True if the request is made directly from the end user, in which case the ip_address and user_agent can be populated from the HTTP request. This flag should be set only if the API request is made directly from the end user such as a mobile app (and not if a gateway or a server is processing and pushing the user events). This should not be set when using the JavaScript tag in UserEventService.CollectUserEvent.
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