Struct AnalyzeCommentRequest 

pub struct AnalyzeCommentRequest {
    pub client_token: Option<String>,
    pub comment: Option<TextEntry>,
    pub community_id: Option<String>,
    pub context: Option<Context>,
    pub do_not_store: Option<bool>,
    pub languages: Option<Vec<String>>,
    pub requested_attributes: Option<HashMap<String, AttributeParameters>>,
    pub session_id: Option<String>,
    pub span_annotations: Option<bool>,
}

The comment analysis request message. LINT.IfChange

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• analyze comments (request)

Fields

client_token: Option<String>

Opaque token that is echoed from the request to the response.

comment: Option<TextEntry>

The comment to analyze.

community_id: Option<String>

Optional identifier associating this AnalyzeCommentRequest with a particular client’s community. Different communities may have different norms and rules. Specifying this value enables us to explore building community-specific models for clients.

context: Option<Context>

The context of the comment.

do_not_store: Option<bool>

Do not store the comment or context sent in this request. By default, the service may store comments/context for debugging purposes.

languages: Option<Vec<String>>

The language(s) of the comment and context. If none are specified, we attempt to automatically detect the language. Specifying multiple languages means the text contains multiple lanugages. Both ISO and BCP-47 language codes are accepted.

The server returns an error if no language was specified and language detection fails. The server also returns an error if the languages (either specified by the caller, or auto-detected) are not all supported by the service.

requested_attributes: Option<HashMap<String, AttributeParameters>>

Specification of requested attributes. The AttributeParameters serve as configuration for each associated attribute. The map keys are attribute names. The available attributes may be different on each RFE installation, and can be seen by calling ListAttributes (see above). For the prod installation, known as Perspective API, at blade:commentanalyzer-esf and commentanalyzer.googleapis.com, see go/checker-models (internal) and https://github.com/conversationai/perspectiveapi/blob/master/2-api/models.md#all-attribute-types.

session_id: Option<String>

Session ID. Used to join related RPCs into a single session. For example, an interactive tool that calls both the AnalyzeComment and SuggestCommentScore RPCs should set all invocations of both RPCs to the same Session ID, typically a random 64-bit integer.

span_annotations: Option<bool>

An advisory parameter that will return span annotations if the model is capable of providing scores with sub-comment resolution. This will likely increase the size of the returned message.

Trait Implementations

impl Clone for AnalyzeCommentRequest

fn clone(&self) -> AnalyzeCommentRequest

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AnalyzeCommentRequest

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for AnalyzeCommentRequest

fn default() -> AnalyzeCommentRequest

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnalyzeCommentRequest

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for AnalyzeCommentRequest

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for AnalyzeCommentRequest