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@matatbread/typia

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Superfast runtime validators with only one line

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"use strict"; var __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.LlmApplicationTransformer = void 0; const typescript_1 = __importDefault(require("typescript")); const ExpressionFactory_1 = require("../../../factories/ExpressionFactory"); const LiteralFactory_1 = require("../../../factories/LiteralFactory"); const MetadataCollection_1 = require("../../../factories/MetadataCollection"); const MetadataFactory_1 = require("../../../factories/MetadataFactory"); const StatementFactory_1 = require("../../../factories/StatementFactory"); const LlmApplicationProgrammer_1 = require("../../../programmers/llm/LlmApplicationProgrammer"); const LlmModelPredicator_1 = require("../../../programmers/llm/LlmModelPredicator"); const TransformerError_1 = require("../../TransformerError"); var LlmApplicationTransformer; (function (LlmApplicationTransformer) { LlmApplicationTransformer.transform = (props) => { var _a, _b, _c; // GET GENERIC ARGUMENT if (!((_a = props.expression.typeArguments) === null || _a === void 0 ? void 0 : _a.length)) throw new TransformerError_1.TransformerError({ code: "typia.llm.schema", message: "no generic argument.", }); const top = props.expression.typeArguments[0]; if (typescript_1.default.isTypeNode(top) === false) return props.expression; // GET TYPE const model = LlmModelPredicator_1.LlmModelPredicator.getModel({ checker: props.context.checker, method: "application", node: props.expression.typeArguments[1], }); const type = props.context.checker.getTypeFromTypeNode(top); const collection = new MetadataCollection_1.MetadataCollection({ replace: MetadataCollection_1.MetadataCollection.replace, }); const result = MetadataFactory_1.MetadataFactory.analyze({ checker: props.context.checker, transformer: props.context.transformer, options: { escape: true, constant: true, absorb: false, functional: true, validate: LlmApplicationProgrammer_1.LlmApplicationProgrammer.validate(model), }, collection, type, }); if (result.success === false) throw TransformerError_1.TransformerError.from({ code: "typia.llm.application", errors: result.errors, }); // GENERATE LLM APPLICATION const schema = LlmApplicationProgrammer_1.LlmApplicationProgrammer.write({ model, metadata: result.data, config: LlmModelPredicator_1.LlmModelPredicator.getConfig({ context: props.context, method: "application", model, node: props.expression.typeArguments[2], }), }); const literal = typescript_1.default.factory.createAsExpression(LiteralFactory_1.LiteralFactory.write(schema), props.context.importer.type({ file: "@samchon/openapi", name: "ILlmApplication", arguments: [ typescript_1.default.factory.createLiteralTypeNode(typescript_1.default.factory.createStringLiteral(model)), ], })); if (!((_b = props.expression.arguments) === null || _b === void 0 ? void 0 : _b[0])) return literal; return ExpressionFactory_1.ExpressionFactory.selfCall(typescript_1.default.factory.createBlock([ StatementFactory_1.StatementFactory.constant({ name: "app", value: literal, }), typescript_1.default.factory.createExpressionStatement(typescript_1.default.factory.createCallExpression(props.context.importer.internal("llmApplicationFinalize"), undefined, [ typescript_1.default.factory.createIdentifier("app"), ...(((_c = props.expression.arguments) === null || _c === void 0 ? void 0 : _c[0]) ? [props.expression.arguments[0]] : []), ])), typescript_1.default.factory.createReturnStatement(typescript_1.default.factory.createIdentifier("app")), ], true)); }; })(LlmApplicationTransformer || (exports.LlmApplicationTransformer = LlmApplicationTransformer = {})); //# sourceMappingURL=LlmApplicationTransformer.js.map