@genkit-ai/dotprompt/lib/picoschema.js

Genkit AI framework `.prompt` file format and management library.

"use strict";
var __defProp = Object.defineProperty;
var __defProps = Object.defineProperties;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropDescs = Object.getOwnPropertyDescriptors;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __getOwnPropSymbols = Object.getOwnPropertySymbols;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __propIsEnum = Object.prototype.propertyIsEnumerable;
var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value;
var __spreadValues = (a, b) => {
  for (var prop in b || (b = {}))
    if (__hasOwnProp.call(b, prop))
      __defNormalProp(a, prop, b[prop]);
  if (__getOwnPropSymbols)
    for (var prop of __getOwnPropSymbols(b)) {
      if (__propIsEnum.call(b, prop))
        __defNormalProp(a, prop, b[prop]);
    }
  return a;
};
var __spreadProps = (a, b) => __defProps(a, __getOwnPropDescs(b));
var __export = (target, all) => {
  for (var name in all)
    __defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
  if (from && typeof from === "object" || typeof from === "function") {
    for (let key of __getOwnPropNames(from))
      if (!__hasOwnProp.call(to, key) && key !== except)
        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
  }
  return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var picoschema_exports = {};
__export(picoschema_exports, {
  picoschema: () => picoschema
});
module.exports = __toCommonJS(picoschema_exports);
const JSON_SCHEMA_SCALAR_TYPES = [
  "string",
  "boolean",
  "null",
  "number",
  "integer",
  "any"
];
const WILDCARD_PROPERTY_NAME = "(*)";
function picoschema(schema) {
  if (!schema)
    return null;
  if ([...JSON_SCHEMA_SCALAR_TYPES, "object", "array"].includes(
    schema == null ? void 0 : schema.type
  )) {
    return schema;
  }
  if (typeof (schema == null ? void 0 : schema.properties) === "object") {
    return __spreadProps(__spreadValues({}, schema), { type: "object" });
  }
  return parsePico(schema);
}
function extractDescription(input) {
  if (!input.includes(","))
    return [input, null];
  const match = input.match(/(.*?), *(.*)$/);
  return [match[1], match[2]];
}
function parsePico(obj, path = []) {
  if (typeof obj === "string") {
    const [type, description] = extractDescription(obj);
    if (!JSON_SCHEMA_SCALAR_TYPES.includes(type)) {
      throw new Error(`Picoschema: Unsupported scalar type '${type}'.`);
    }
    if (type === "any") {
      return description ? { description } : {};
    }
    return description ? { type, description } : { type };
  } else if (typeof obj !== "object") {
    throw new Error(
      "Picoschema: only consists of objects and strings. Got: " + JSON.stringify(obj)
    );
  }
  const schema = {
    type: "object",
    properties: {},
    required: [],
    additionalProperties: false
  };
  for (const key in obj) {
    if (key === WILDCARD_PROPERTY_NAME) {
      schema.additionalProperties = parsePico(obj[key], [...path, key]);
      continue;
    }
    const [name, typeInfo] = key.split("(");
    const isOptional = name.endsWith("?");
    const propertyName = isOptional ? name.slice(0, -1) : name;
    if (!isOptional) {
      schema.required.push(propertyName);
    }
    if (!typeInfo) {
      const prop = parsePico(obj[key], [...path, key]);
      if (isOptional && typeof prop.type === "string") {
        prop.type = [prop.type, "null"];
      }
      schema.properties[propertyName] = prop;
      continue;
    }
    const [type, description] = extractDescription(
      typeInfo.substring(0, typeInfo.length - 1)
    );
    if (type === "array") {
      schema.properties[propertyName] = {
        type: isOptional ? ["array", "null"] : "array",
        items: parsePico(obj[key], [...path, key])
      };
    } else if (type === "object") {
      const prop = parsePico(obj[key], [...path, key]);
      if (isOptional)
        prop.type = [prop.type, "null"];
      schema.properties[propertyName] = prop;
    } else if (type === "enum") {
      const prop = { enum: obj[key] };
      if (isOptional)
        prop.enum.push(null);
      schema.properties[propertyName] = prop;
    } else {
      throw new Error(
        "Picoschema: parenthetical types must be 'object' or 'array', got: " + type
      );
    }
    if (description) {
      schema.properties[propertyName].description = description;
    }
  }
  if (!schema.required.length)
    delete schema.required;
  return schema;
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
  picoschema
});
//# sourceMappingURL=picoschema.js.map