openapi-ts-mock-generator/dist/parsers/schema-parser.mjs.map

typescript mock data generator based openapi

{"version":3,"sources":["../../src/core/config.ts","../../src/utils/string-utils.ts","../../src/utils/code-utils.ts","../../src/utils/array-utils.ts","../../src/parsers/schema-parser.ts"],"sourcesContent":["import { Faker, ko } from \"@faker-js/faker\"\nimport { Options } from \"./types\"\n\n/**\n * 기본 옵션 설정\n */\nexport const defaultOptions: Options = {\n  path: \"\",\n  arrayMinLength: 1,\n  arrayMaxLength: 3,\n  includeCodes: undefined,\n  baseDir: \"./\",\n  specialPath: undefined,\n  handlerUrl: \"*\",\n  fakerLocale: \"ko\",\n  generateTarget: \"api,schema\",\n  clear: false,\n  // TypeScriptCodeOptions\n  isStatic: false,\n  isOptional: false,\n}\n\n/**\n * 배열 길이 관련 상수\n */\nexport const ARRAY_MIN_LENGTH = 1\nexport const ARRAY_MAX_LENGTH = 3\n\n/**\n * 문자열 길이 관련 상수\n */\nexport const MIN_STRING_LENGTH = 3\nexport const MAX_STRING_LENGTH = 20\n\n/**\n * 정수 범위 관련 상수\n */\nexport const MIN_INTEGER = 1\nexport const MAX_INTEGER = 100000\n\n/**\n * 소수 범위 관련 상수\n */\nexport const MIN_NUMBER = 0\nexport const MAX_NUMBER = 100\n\n/**\n * 단어 길이 관련 상수\n */\nexport const MIN_WORD_LENGTH = 0\nexport const MAX_WORD_LENGTH = 3\n\n/**\n * Faker 시드값 (일관된 결과를 위함)\n */\nconst FAKER_SEED = 1\n\n/**\n * 전역 Faker 인스턴스\n * 한국어 로케일을 기본으로 설정하고 시드를 고정하여 일관된 결과 제공\n */\nexport const faker = new Faker({\n  locale: [ko],\n})\nfaker.seed(FAKER_SEED)\n\n/**\n * 생성된 파일의 상단에 추가되는 주석\n */\nexport const GEN_COMMENT =\n  \"/* Do not edit this file. */\\n/* This file generated by openapi-ts-mock-generator. */\\n\\n\"\n","/**\n * 문자열 처리 관련 유틸리티 함수들\n */\n\n/**\n * UUID를 Base64 형태로 변환\n * URL-safe Base64 인코딩을 사용하여 패딩 제거\n */\nexport const uuidToB64 = (uuid: string): string => {\n  const uuidBuffer = Buffer.from(uuid.replace(/-/g, \"\"), \"hex\")\n  const base64Uuid = uuidBuffer\n    .toString(\"base64\")\n    .replace(/\\+/g, \"-\") // + 를 - 로\n    .replace(/\\//g, \"_\") // / 를 _ 로\n    .replace(/=/g, \"\") // 패딩 제거\n  return base64Uuid\n}\n\n/**\n * camelCase 문자열을 kebab-case로 변환\n */\nexport const camelToKebab = (str: string): string => {\n  return str.replace(/([a-z0-9])([A-Z])/g, \"$1-$2\").toLowerCase()\n}\n\n/**\n * 문자열이 URL인지 확인\n */\nexport const isUrl = (str: string): boolean => {\n  return str.startsWith(\"http://\") || str.startsWith(\"https://\")\n}\n\n/**\n * 파일 확장자 추출\n */\nexport const getFileExtension = (filename: string): string => {\n  return filename.split(\".\").pop() || \"\"\n}\n","/**\n * 코드 생성 관련 유틸리티 함수들\n */\n\nimport { ParseSchemaType, TypeScriptCodeOptions, CodeFormatOptions } from \"../core\"\n\n/**\n * 객체를 TypeScript 코드로 변환 (nullable 타입 확장 지원)\n * 동적 모킹에서 optional 필드를 지원하는 코드를 생성\n */\nexport const toTypeScriptCode = (\n  param: ParseSchemaType,\n  options: TypeScriptCodeOptions\n): string => {\n  const { depth = 0, isStatic } = options\n\n  const prefixSpace = \" \".repeat(depth * 2) // 들여쓰기용\n\n  if (param === null) {\n    return \"null\"\n  }\n\n  if (Array.isArray(param)) {\n    const results = param\n      .map((elem) => toTypeScriptCode(elem, { ...options, depth: depth + 1 }))\n      .join(\",\\n\" + prefixSpace)\n    return [\"[\", results, \"]\"].join(\"\\n\" + prefixSpace)\n  }\n\n  if (typeof param === \"object\") {\n    const results = Object.entries(param)\n      .map(([key, value]) => {\n        return generateObjectProperty(key, value, options, prefixSpace)\n      })\n      .join(\"\\n\" + prefixSpace)\n\n    return [\"{\", `${results}`, \"}\"].join(\"\\n\" + prefixSpace)\n  }\n\n  // 문자열 처리\n  if (typeof param === \"string\") {\n    // 동적 faker 호출은 그대로 유지\n    if (\n      isStatic === false &&\n      (param.startsWith(\"faker\") || param.startsWith(\"Buffer.from(faker\"))\n    ) {\n      return param\n    }\n\n    // \" as const\" 분리하여 처리\n    if (param.endsWith(\" as const\")) {\n      return `\"${param.slice(0, -\" as const\".length)}\" as const`\n    }\n  }\n\n  return JSON.stringify(param)\n}\n\n/**\n * nullable 타입 확장 여부 확인\n */\nconst shouldApplyNullableExtension = (value: any, isOptional: boolean): boolean => {\n  if (!isOptional) return false\n\n  // 값이 null인 경우\n  if (value === null) return true\n\n  // 문자열 및 null을 포함한 경우\n  if (typeof value === \"string\" && value.includes(\",null\")) {\n    return true\n  }\n\n  return false\n}\n\n/**\n * 객체 프로퍼티를 생성 (nullable 타입 확장 포함)\n */\nconst generateObjectProperty = (\n  key: string,\n  value: any,\n  options: TypeScriptCodeOptions,\n  prefixSpace: string\n): string => {\n  const { isOptional, depth = 0 } = options\n\n  // nullable 타입 확장 로직\n  const shouldApplyNullable = shouldApplyNullableExtension(value, isOptional)\n  const nullableTypeExtensionStart = shouldApplyNullable\n    ? `...(faker.datatype.boolean() ? {\\n${prefixSpace}`\n    : \"\"\n  const nullableTypeExtensionEnd = shouldApplyNullable ? `\\n${prefixSpace}} : {})` : \"\"\n\n  const propertyValue = toTypeScriptCode(value, {\n    ...options,\n    depth: depth + 1,\n  })\n\n  return `${nullableTypeExtensionStart}${prefixSpace}${key}: ${propertyValue}${nullableTypeExtensionEnd},`\n}\n\n/**\n * 멀티라인 코드를 한 줄로 압축\n */\nexport const compressCode = (code: string): string => {\n  return code\n    .replace(/\\n/g, \" \") // 줄바꿈을 공백으로\n    .replace(/\\s+/g, \" \") // 연속된 공백을 하나로\n    .replace(/\\s\\./g, \".\") // 공백 + 점을 점으로\n    .trim()\n}\n\n/**\n * TypeScript 인터페이스 코드 생성\n */\nexport const generateInterface = (name: string, properties: Record<string, string>): string => {\n  const props = Object.entries(properties)\n    .map(([key, type]) => `  ${key}: ${type}`)\n    .join(\"\\n\")\n\n  return `interface ${name} {\\n${props}\\n}`\n}\n\n/**\n * TypeScript 타입 별칭 코드 생성\n */\nexport const generateTypeAlias = (name: string, type: string): string => {\n  return `type ${name} = ${type}`\n}\n","/**\n * 배열 처리 관련 유틸리티 함수들\n */\n\nimport { faker } from \"../core\"\n\n/**\n * 지정된 범위 내에서 랜덤한 길이의 배열을 생성\n * 배열의 각 요소는 인덱스 값으로 초기화됨\n */\nexport const getRandomLengthArray = (min: number = 1, max: number = 3): number[] => {\n  const length = faker.number.int({ min, max })\n  return Array.from({ length }, (_, i) => i)\n}\n\n/**\n * 배열을 지정된 크기로 청크 단위로 분할\n */\nexport const chunkArray = <T>(array: T[], size: number): T[][] => {\n  const chunks: T[][] = []\n  for (let i = 0; i < array.length; i += size) {\n    chunks.push(array.slice(i, i + size))\n  }\n  return chunks\n}\n\n/**\n * 배열에서 중복 제거 (primitive 타입용)\n */\nexport const unique = <T>(array: T[]): T[] => {\n  return [...new Set(array)]\n}\n\n/**\n * 배열에서 중복 제거 (객체용, 키 기준)\n */\nexport const uniqueBy = <T>(array: T[], keyFn: (item: T) => any): T[] => {\n  const seen = new Set()\n  return array.filter((item) => {\n    const key = keyFn(item)\n    if (seen.has(key)) {\n      return false\n    }\n    seen.add(key)\n    return true\n  })\n}\n","/**\n * OpenAPI 스키마 파싱 및 값 생성 로직\n */\n\nimport {\n  Options,\n  ParseSchemaType,\n  SchemaOutputType,\n  faker,\n  MIN_STRING_LENGTH,\n  MAX_STRING_LENGTH,\n  MIN_INTEGER,\n  MAX_INTEGER,\n  MIN_NUMBER,\n  MAX_NUMBER,\n  MIN_WORD_LENGTH,\n  MAX_WORD_LENGTH,\n  TypeScriptCodeOptions,\n} from \"../core\"\nimport { compressCode, uuidToB64, getRandomLengthArray, toTypeScriptCode } from \"../utils\"\nimport SwaggerParser from \"@apidevtools/swagger-parser\"\nimport { pascalCase } from \"change-case-all\"\nimport { SchemaObject, isReference } from \"oazapfts/generate\"\nimport { OpenAPIV3_1 } from \"openapi-types\"\n\n/**\n * OpenAPI 스키마를 파싱하여 실제 값을 생성\n */\nexport const parseSchema = (\n  schemaValue: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject,\n  specialSchema: {\n    titleSpecial: Record<string, SchemaOutputType>\n    descriptionSpecial: Record<string, SchemaOutputType>\n  },\n  options: Options,\n  outputSchema: ParseSchemaType = {}\n): ParseSchemaType => {\n  if (isReference(schemaValue)) {\n    console.warn(\"can't parse reference schema\", schemaValue, schemaValue.$ref)\n    return\n  }\n\n  if (schemaValue.type === \"object\") {\n    if (schemaValue.properties === undefined) return {}\n    return Object.entries(schemaValue.properties).reduce((acc, [key, field]) => {\n      acc[key] = parseSchema(field, specialSchema, options, outputSchema) as SchemaOutputType\n      return acc\n    }, {} as Record<string, SchemaOutputType>)\n  } else if (schemaValue.enum !== undefined) {\n    // enum value\n    const enumValue = options.isStatic\n      ? faker.helpers.arrayElement(schemaValue.enum)\n      : `faker.helpers.arrayElement<${schemaValue.enum\n          .map((item) => `\"${item}\"`)\n          .join(\" | \")}>(${toTypeScriptCode(schemaValue.enum, {\n          depth: 0,\n          ...options,\n        })})`\n    if (options.isStatic && typeof enumValue === \"string\") return enumValue + \" as const\"\n    return enumValue\n  } else if (schemaValue.allOf !== undefined) {\n    // allOf value, sub model\n    const allOfValue = schemaValue.allOf\n    return faker.helpers.arrayElement(\n      allOfValue.map((field) => {\n        return parseSchema(field, specialSchema, options, outputSchema)\n      })\n    )\n  } else if (schemaValue.anyOf !== undefined) {\n    // anyOf value, select one or more. ex) string or null\n    const anyOfValue = schemaValue.anyOf\n    return options.isStatic\n      ? faker.helpers.arrayElement(\n          anyOfValue.map((field) => {\n            return parseSchema(field, specialSchema, options, outputSchema)\n          })\n        )\n      : compressCode(\n          `\n          faker.helpers.arrayElement([\n            ${anyOfValue.map((field) =>\n              toTypeScriptCode(parseSchema(field, specialSchema, options, {}), {\n                depth: 0,\n                ...options,\n              })\n            )}\n          ])\n        `\n        )\n  } else if (schemaValue.oneOf !== undefined) {\n    // oneOf value, exactly one. Can't find example\n    const oneOfValue = schemaValue.oneOf\n    return options.isStatic\n      ? faker.helpers.arrayElement(\n          oneOfValue.map((field) => {\n            return parseSchema(field, specialSchema, options, outputSchema)\n          })\n        )\n      : compressCode(\n          `\n          faker.helpers.arrayElement([\n            ${oneOfValue.map((field) =>\n              toTypeScriptCode(parseSchema(field, specialSchema, options, {}), {\n                depth: 0,\n                ...options,\n              })\n            )}\n          ])\n        `\n        )\n  } else if (schemaValue.type === \"array\") {\n    if (\"prefixItems\" in schemaValue) {\n      const length = faker.number.int({\n        min: schemaValue.minItems,\n        max: schemaValue.maxItems,\n      })\n\n      return (schemaValue.prefixItems as Array<SchemaObject>)\n        .slice(0, length)\n        .map((field) => parseSchema(field, specialSchema, options, outputSchema)) as (\n        | SchemaOutputType\n        | Record<string, SchemaOutputType>\n      )[]\n    }\n    // array\n    const arrayValue = schemaValue.items\n    return getRandomLengthArray(options.arrayMinLength, options.arrayMaxLength).map(() =>\n      parseSchema(arrayValue, specialSchema, options, outputSchema)\n    ) as (SchemaOutputType | Record<string, SchemaOutputType>)[]\n  }\n  return valueGenerator(schemaValue, specialSchema, options)\n}\n\n/**\n * 참조 스키마를 파싱하여 이름과 값을 반환\n */\nexport const refSchemaParser = (ref: string, refs: SwaggerParser[\"$refs\"]) => {\n  const schemaName = pascalCase(ref.replace(\"#/components/schemas/\", \"\"))\n  const schemaValue = refs.get(ref) as OpenAPIV3_1.SchemaObject\n  return { name: schemaName, value: schemaValue }\n}\n\n/**\n * 스키마 타입별로 실제 값을 생성하는 함수\n */\nexport const valueGenerator = (\n  schemaValue: OpenAPIV3_1.SchemaObject,\n  specialSchema: {\n    titleSpecial: Record<string, SchemaOutputType>\n    descriptionSpecial: Record<string, SchemaOutputType>\n  },\n  options: TypeScriptCodeOptions\n): ParseSchemaType => {\n  const { isStatic } = options\n  // if title or description in special keys\n  // return special faker data\n  const { titleSpecial, descriptionSpecial } = specialSchema\n  if (schemaValue.title && titleSpecial[schemaValue.title]) {\n    return titleSpecial[schemaValue.title]\n  } else if (schemaValue.description && descriptionSpecial[schemaValue.description]) {\n    return descriptionSpecial[schemaValue.description]\n  }\n\n  if (schemaValue.type === \"string\" && schemaValue.format === \"date-time\") {\n    // date-time, 2017-07-21T17:32:28Z\n    return isStatic\n      ? faker.date\n          .between({\n            from: \"2020-01-01T00:00:00.000Z\",\n            to: \"2030-12-31T23:59:59.999Z\",\n          })\n          .toISOString()\n      : compressCode(\n          `\n          faker.date.between({\n            from: \"2020-01-01T00:00:00.000Z\",\n            to: \"2030-12-31T23:59:59.999Z\",\n          })\n          .toISOString()\n        `\n        )\n  } else if (schemaValue.type === \"string\" && schemaValue.format === \"date\") {\n    // date, 2017-07-21\n    return isStatic\n      ? faker.date\n          .between({\n            from: \"2020-01-01T00:00:00.000Z\",\n            to: \"2030-12-31T23:59:59.999Z\",\n          })\n          .toISOString()\n          .split(\"T\")[0]\n      : compressCode(\n          `\n          faker.date.between({\n            from: \"2020-01-01T00:00:00.000Z\",\n            to: \"2030-12-31T23:59:59.999Z\",\n          })\n          .toISOString()\n          .split(\"T\")[0]\n        `\n        )\n  } else if (schemaValue.type === \"string\" && schemaValue.pattern) {\n    return isStatic\n      ? faker.helpers.fromRegExp(schemaValue.pattern)\n      : `faker.helpers.fromRegExp(/${schemaValue.pattern}/)`\n  } else if (schemaValue.type === \"string\" && schemaValue.title?.toLowerCase() === \"b64uuid\") {\n    // generate base 64 uuid\n    const baseUuid = faker.string.uuid()\n    return isStatic\n      ? uuidToB64(baseUuid)\n      : compressCode(\n          `\n          Buffer.from(faker.string.uuid().replace(/-/g, \"\"), \"hex\")\n          .toString(\"base64\")\n          .replace(/\\\\+/g, \"-\")\n          .replace(/\\\\//g, \"_\")\n          .replace(/=/g, \"\")\n        `\n        )\n  } else if (schemaValue.type === \"string\") {\n    const minLength =\n      schemaValue.minLength ??\n      Math.min(MIN_STRING_LENGTH, schemaValue.maxLength ?? MAX_STRING_LENGTH)\n    const maxLength =\n      schemaValue.maxLength ??\n      Math.max(MAX_STRING_LENGTH, schemaValue.minLength ?? MIN_STRING_LENGTH)\n\n    return isStatic\n      ? faker.string.alphanumeric({\n          length: { min: minLength, max: maxLength },\n        })\n      : compressCode(\n          `\n          faker.string.alphanumeric({\n            length: { min: ${minLength}, max: ${maxLength} },\n          })\n        `\n        )\n  } else if (schemaValue.type === \"integer\") {\n    return isStatic\n      ? faker.number.int({ min: MIN_INTEGER, max: MAX_INTEGER })\n      : compressCode(\n          `\n          faker.number.int({ min: ${MIN_INTEGER}, max: ${MAX_INTEGER} })\n        `\n        )\n  } else if (schemaValue.type === \"number\") {\n    const minNumber = schemaValue.minimum ?? Math.min(MIN_NUMBER, schemaValue.maximum ?? MAX_NUMBER)\n    const maxNumber = schemaValue.maximum ?? Math.max(MAX_NUMBER, schemaValue.minimum ?? MIN_NUMBER)\n    return isStatic\n      ? faker.number.float({\n          min: minNumber,\n          max: maxNumber,\n          fractionDigits: 2,\n        })\n      : compressCode(\n          `\n          faker.number.float({\n            min: ${minNumber},\n            max: ${maxNumber},\n            fractionDigits: 2,\n          })\n        `\n        )\n  } else if (schemaValue.type === \"boolean\") {\n    return isStatic ? faker.datatype.boolean() : \"faker.datatype.boolean()\"\n  } else if (schemaValue.type === \"null\") {\n    return null\n  } else if (Object.keys(schemaValue).length === 0) {\n    // array any. ex) blank=True list\n    return isStatic\n      ? faker.word.words({\n          count: {\n            min: MIN_WORD_LENGTH,\n            max: MAX_WORD_LENGTH,\n          },\n        })\n      : compressCode(\n          `\n          faker.word.words({\n            count: {\n              min: ${MIN_WORD_LENGTH},\n              max: ${MAX_WORD_LENGTH},\n            },\n          })\n        `\n        )\n  }\n\n  return isStatic ? faker.word.adjective() : 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