[Vertex AI] Refactor StringFormat and IntegerFormat as structs (firebase#13865)

Author: andrewheard

FirebaseVertexAI/Sources/Types/Public/Schema.swift

@@ -20,19 +20,41 @@ import Foundation
 /// [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).
 public class Schema {
   /// Modifiers describing the expected format of a string `Schema`.
-  public enum StringFormat {
+  public struct StringFormat: EncodableProtoEnum {
+    // This enum is currently only used to conform `StringFormat` to `ProtoEnum`, which requires
+    // `associatedtype Kind: RawRepresentable<String>`.
+    enum Kind: String {
+      // Providing a case resolves the error "An enum with no cases cannot declare a raw type".
+      case unused // TODO: Remove `unused` case when we have at least one specific string format.
+    }
+
     /// A custom string format.
-    case custom(String)
+    public static func custom(_ format: String) -> StringFormat {
+      return self.init(rawValue: format)
+    }
+
+    let rawValue: String
   }
 
   /// Modifiers describing the expected format of an integer `Schema`.
-  public enum IntegerFormat {
+  public struct IntegerFormat: EncodableProtoEnum {
+    enum Kind: String {
+      case int32
+      case int64
+    }
+
     /// A 32-bit signed integer.
-    case int32
+    public static let int32 = IntegerFormat(kind: .int32)
+
     /// A 64-bit signed integer.
-    case int64
+    public static let int64 = IntegerFormat(kind: .int64)
+
     /// A custom integer format.
-    case custom(String)
+    public static func custom(_ format: String) -> IntegerFormat {
+      return self.init(rawValue: format)
+    }
+
+    let rawValue: String
   }
 
   let dataType: DataType
@@ -311,45 +333,3 @@ extension Schema: Encodable {
     case requiredProperties = "required"
   }
 }
-
-// MARK: - RawRepresentable Conformance
-
-extension Schema.IntegerFormat: RawRepresentable {
-  public init?(rawValue: String) {
-    switch rawValue {
-    case "int32":
-      self = .int32
-    case "int64":
-      self = .int64
-    default:
-      self = .custom(rawValue)
-    }
-  }
-
-  public var rawValue: String {
-    switch self {
-    case .int32:
-      return "int32"
-    case .int64:
-      return "int64"
-    case let .custom(format):
-      return format
-    }
-  }
-}
-
-extension Schema.StringFormat: RawRepresentable {
-  public init?(rawValue: String) {
-    switch rawValue {
-    default:
-      self = .custom(rawValue)
-    }
-  }
-
-  public var rawValue: String {
-    switch self {
-    case let .custom(format):
-      return format
-    }
-  }
-}

FirebaseVertexAI/Tests/Integration/IntegrationTests.swift

@@ -153,4 +153,25 @@ final class IntegrationTests: XCTestCase {
     XCTAssertEqual(response.totalTokens, 24)
     XCTAssertEqual(response.totalBillableCharacters, 71)
   }
+
+  func testCountTokens_jsonSchema() async throws {
+    model = vertex.generativeModel(
+      modelName: "gemini-1.5-flash",
+      generationConfig: GenerationConfig(
+        responseMIMEType: "application/json",
+        responseSchema: Schema.object(properties: [
+          "startDate": .string(format: .custom("date")),
+          "yearsSince": .integer(format: .custom("int16")),
+          "hoursSince": .integer(format: .int32),
+          "minutesSince": .integer(format: .int64),
+        ])
+      )
+    )
+    let prompt = "It is 2050-01-01, how many years, hours and minutes since 2000-01-01?"
+
+    let response = try await model.countTokens(prompt)
+
+    XCTAssertEqual(response.totalTokens, 34)
+    XCTAssertEqual(response.totalBillableCharacters, 59)
+  }
 }