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Improve Function Call argument validation and typing (#2881)
Co-authored-by: N. Taylor Mullen <ntaylormullen@google.com>
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@@ -4,55 +4,63 @@
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* SPDX-License-Identifier: Apache-2.0
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*/
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import { Schema } from '@google/genai';
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import * as ajv from 'ajv';
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const ajValidator = new ajv.Ajv();
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/**
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* Simple utility to validate objects against JSON Schemas
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*/
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export class SchemaValidator {
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/**
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* Validates data against a JSON schema
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* @param schema JSON Schema to validate against
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* @param data Data to validate
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* @returns True if valid, false otherwise
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* Returns null if the data confroms to the schema described by schema (or if schema
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* is null). Otherwise, returns a string describing the error.
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*/
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static validate(schema: Record<string, unknown>, data: unknown): boolean {
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// This is a simplified implementation
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// In a real application, you would use a library like Ajv for proper validation
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// Check for required fields
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if (schema.required && Array.isArray(schema.required)) {
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const required = schema.required as string[];
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const dataObj = data as Record<string, unknown>;
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for (const field of required) {
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if (dataObj[field] === undefined) {
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console.error(`Missing required field: ${field}`);
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return false;
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}
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}
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static validate(schema: Schema | undefined, data: unknown): string | null {
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if (!schema) {
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return null;
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}
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// Check property types if properties are defined
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if (schema.properties && typeof schema.properties === 'object') {
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const properties = schema.properties as Record<string, { type?: string }>;
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const dataObj = data as Record<string, unknown>;
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for (const [key, prop] of Object.entries(properties)) {
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if (dataObj[key] !== undefined && prop.type) {
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const expectedType = prop.type;
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const actualType = Array.isArray(dataObj[key])
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? 'array'
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: typeof dataObj[key];
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if (expectedType !== actualType) {
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console.error(
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`Type mismatch for property "${key}": expected ${expectedType}, got ${actualType}`,
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);
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return false;
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}
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}
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}
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if (typeof data !== 'object' || data === null) {
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return 'Value of params must be an object';
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}
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const validate = ajValidator.compile(this.toObjectSchema(schema));
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const valid = validate(data);
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if (!valid && validate.errors) {
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return ajValidator.errorsText(validate.errors, { dataVar: 'params' });
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}
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return null;
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}
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return true;
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/**
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* Converts @google/genai's Schema to an object compatible with avj.
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* This is necessry because it represents Types as an Enum (with
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* UPPERCASE values) and minItems and minLength as strings, when they should be numbers.
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*/
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private static toObjectSchema(schema: Schema): object {
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const newSchema: Record<string, unknown> = { ...schema };
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if (newSchema.anyOf && Array.isArray(newSchema.anyOf)) {
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newSchema.anyOf = newSchema.anyOf.map((v) => this.toObjectSchema(v));
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}
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if (newSchema.items) {
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newSchema.items = this.toObjectSchema(newSchema.items);
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}
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if (newSchema.properties && typeof newSchema.properties === 'object') {
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const newProperties: Record<string, unknown> = {};
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for (const [key, value] of Object.entries(newSchema.properties)) {
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newProperties[key] = this.toObjectSchema(value as Schema);
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}
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newSchema.properties = newProperties;
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}
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if (newSchema.type) {
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newSchema.type = String(newSchema.type).toLowerCase();
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}
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if (newSchema.minItems) {
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newSchema.minItems = Number(newSchema.minItems);
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}
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if (newSchema.minLength) {
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newSchema.minLength = Number(newSchema.minLength);
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}
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return newSchema;
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}
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}
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