An alternative Vertex AI (AI Platform) Featurestore Online Serving Client.
The main goal of this project is to provide an alternative way of interacting with the Online Featurestore Service. Specifically, several semantics are introduced in this API:
QueryConfigEntity
The Query type contains parameterized inputs for the ReadFeatureValues RPC, containing
the entity ID, features to return (projection), and the entity type.
The Config type contains project level configuration, around the GCP Region, GCP Project ID,
and the Featurestore you are querying from.
Lastly, the Entity type is a wrapper struct around the Header and EntityView.Data
fields in the ReadFeatureValuesResponse.
The Entity has a receiver function that can scan the header and data into a user-provided
struct pointer.
You can provide an interface{} (pointer to a struct) type to the entity.ScanStruct function,
and as long as your struct has a vertex tag with the corresponding feature name, it will
load the values into the struct.
The following is an example of using vertigo for a "customer" entity, which has the following features
defined in Vertex AI Featurestore:
entity_type: my_customer
features:
- name: segment
type: STRING
- name: market_audiences
type: STRING_ARRAY
- name: six_month_spend
type: DOUBLE
- name: another_numeric_feature
type: INT64 Note that the ${features[i].name} directly maps to the vertex:"${feature_name}" struct tag.
package main
import (
"context"
"github.com/bradleybonitatibus/vertigo"
"log"
)
// MyCustomer is a user provided struct that contain `"vertex"` tags that map to the entity feature ID in
// the Vertex Feature Store.
type MyCustomer struct {
Segment string `json:"segment" vertex:"segment"`
MarketAudiences []string `json:"market_audiences" vertex:"market_audiences"`
SixMonthSpend *float64 `json:"six_month_spend" vertex:"six_month_spend"`
AnotherNumericFeature int64 `json:"another_numeric_feature" vertex:"another_numeric_feature"`
}
func main() {
var region string
var projectID string
var featurestoreName string
// region = "my-gcp-region"
// projectID = "my-project-id"
// featurestoreName = "my_featurestore_name"
ctx := context.Background()
client, err := vertigo.NewClient(ctx, &vertigo.Config{
Region: region,
ProjectID: projectID,
FeatureStoreName: featurestoreName,
})
defer client.Close()
if err != nil {
log.Fatalf("vertigo.NewClient: %v", err)
}
myCust := MyCustomer{}
entity, err := client.GetEntity(ctx, &vertigo.Query{
EntityType: "my_customer",
EntityID: "123abc",
Features: []string{"*"},
})
if err != nil {
log.Fatalf("client.GetEntity: %v", err)
}
err = entity.ScanStruct(&myCust)
if err != nil {
log.Fatalf("entity.ScanStruct: %v", err)
}
// continue using MyCustomer as you wish.
}
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