@matatbread/typia
Version:
Superfast runtime validators with only one line
131 lines (121 loc) • 4.29 kB
text/typescript
import { ILlmSchema } from "@samchon/openapi";
import ts from "typescript";
import { IdentifierFactory } from "../../../factories/IdentifierFactory";
import { LiteralFactory } from "../../../factories/LiteralFactory";
import { MetadataCollection } from "../../../factories/MetadataCollection";
import { MetadataFactory } from "../../../factories/MetadataFactory";
import { Metadata } from "../../../schemas/metadata/Metadata";
import { LlmModelPredicator } from "../../../programmers/llm/LlmModelPredicator";
import { LlmSchemaProgrammer } from "../../../programmers/llm/LlmSchemaProgrammer";
import { ValidationPipe } from "../../../typings/ValidationPipe";
import { ITransformProps } from "../../ITransformProps";
import { TransformerError } from "../../TransformerError";
export namespace LlmSchemaTransformer {
export const transform = (
props: Omit<ITransformProps, "modulo">,
): ts.Expression => {
// GET GENERIC ARGUMENT
if (!props.expression.typeArguments?.length)
throw new TransformerError({
code: "typia.llm.schema",
message: "no generic argument.",
});
const top: ts.Node = props.expression.typeArguments[0]!;
if (ts.isTypeNode(top) === false) return props.expression;
// GET TYPE
const model: ILlmSchema.Model = LlmModelPredicator.getModel({
checker: props.context.checker,
method: "schema",
node: props.expression.typeArguments[1],
});
const type: ts.Type = props.context.checker.getTypeFromTypeNode(top);
const collection: MetadataCollection = new MetadataCollection({
replace: MetadataCollection.replace,
});
const result: ValidationPipe<Metadata, MetadataFactory.IError> =
MetadataFactory.analyze({
checker: props.context.checker,
transformer: props.context.transformer,
options: {
escape: true,
constant: true,
absorb: false,
validate: LlmSchemaProgrammer.validate(model),
},
collection,
type,
});
if (result.success === false)
throw TransformerError.from({
code: "typia.llm.schema",
errors: result.errors,
});
// GENERATE LLM SCHEMA
const out: LlmSchemaProgrammer.IOutput<any> = LlmSchemaProgrammer.write({
model,
metadata: result.data,
config: LlmModelPredicator.getConfig({
context: props.context,
method: "schema",
model,
node: props.expression.typeArguments[2],
}),
});
const schemaTypeNode = props.context.importer.type({
file: "@samchon/openapi",
name: "ILlmSchema",
arguments: [
ts.factory.createLiteralTypeNode(ts.factory.createStringLiteral(model)),
],
});
const literal = ts.factory.createAsExpression(
LiteralFactory.write(out.schema),
schemaTypeNode,
);
if (Object.keys(out.$defs).length === 0) return literal;
return ts.factory.createCallExpression(
ts.factory.createArrowFunction(
undefined,
undefined,
[
IdentifierFactory.parameter(
"$defs",
ts.factory.createTypeReferenceNode("Record", [
ts.factory.createKeywordTypeNode(ts.SyntaxKind.StringKeyword),
schemaTypeNode,
]),
undefined,
),
],
undefined,
undefined,
ts.factory.createBlock(
[
ts.factory.createExpressionStatement(
ts.factory.createCallExpression(
ts.factory.createIdentifier("Object.assign"),
undefined,
[
ts.factory.createIdentifier("$defs"),
ts.factory.createAsExpression(
LiteralFactory.write(out.$defs),
ts.factory.createTypeReferenceNode("Record", [
ts.factory.createKeywordTypeNode(
ts.SyntaxKind.StringKeyword,
),
schemaTypeNode,
]),
),
],
),
),
ts.factory.createReturnStatement(literal),
],
true,
),
),
undefined,
[props.expression.arguments[0]!],
);
};
}