openapi-ts-mock-generator/dist/generators/api-generator.mjs.map

typescript mock data generator based openapi

{"version":3,"sources":["../../src/core/types.ts","../../src/core/config.ts","../../src/utils/string-utils.ts","../../src/utils/code-utils.ts","../../src/utils/array-utils.ts","../../src/utils/file-utils.ts","../../src/parsers/openapi-parser.ts","../../src/parsers/schema-parser.ts","../../src/parsers/faker-parser.ts","../../src/generators/api-generator.ts"],"sourcesContent":["import { OpenAPIV3_1 } from \"openapi-types\"\n\n/**\n * 메인 옵션 타입\n * CLI 및 프로그래매틱 API에서 사용되는 모든 설정을 포함\n */\nexport type Options = {\n  path: string\n  arrayMinLength: number\n  arrayMaxLength: number\n  includeCodes: number[] | undefined\n  baseDir: string\n  specialPath: string | undefined\n  handlerUrl: string\n  fakerLocale: string\n  generateTarget: string\n  clear: boolean\n} & TypeScriptCodeOptions\n\n/**\n * 스키마 출력 기본 타입\n */\nexport type SchemaOutputType = string | number | boolean | null | undefined | Date\n\n/**\n * 중첩된 스키마 출력 타입 (재귀적)\n */\ntype NestedSchemaOutputType<T> =\n  | {\n      [K in keyof T]: T[K] extends object ? NestedSchemaOutputType<T[K]> : T[K]\n    }\n  | SchemaOutputType\n  | {}\n\n/**\n * 파싱된 스키마 타입\n */\nexport type ParseSchemaType = NestedSchemaOutputType<string>\n\n/**\n * HTTP 메서드 열거형\n */\nexport enum HttpMethods {\n  GET = \"get\",\n  PUT = \"put\",\n  POST = \"post\",\n  DELETE = \"delete\",\n  OPTIONS = \"options\",\n  HEAD = \"head\",\n  PATCH = \"patch\",\n  TRACE = \"trace\",\n}\n\n/**\n * 응답 스키마 타입 정의\n */\nexport type ResponseSchemaType =\n  | {\n      type: \"anyOf\" | \"oneOf\" | \"array\"\n      value: OpenAPIV3_1.SchemaObject\n    }\n  | {\n      type: \"ref\"\n      value: OpenAPIV3_1.ReferenceObject\n    }\n  | undefined\n\n/**\n * 정규화된 경로 타입\n * OpenAPI 경로 정보를 내부에서 사용하기 쉬운 형태로 변환한 타입\n */\nexport type PathNormalizedType = {\n  pathname: string\n  operationId: string\n  summary: string\n  method: HttpMethods\n  responses: {\n    statusCode: number\n    description: string\n    schema: ResponseSchemaType\n  }[]\n  tags: string[]\n}\n\n/**\n * 코드 생성 관련 공통 옵션\n */\nexport type CodeFormatOptions = {\n  depth?: number\n  isStatic?: boolean\n  singleLine?: boolean\n}\n\n/**\n * TypeScript 코드 생성 옵션\n */\nexport type TypeScriptCodeOptions = {\n  depth?: number\n  isStatic: boolean\n  isOptional: boolean\n}\n\n/**\n * null 또는 undefined가 아닌 값인지 확인하는 타입 가드\n */\nexport const isNotNullish = <TValue>(value: TValue | null | undefined): value is TValue => {\n  return value !== null && value !== undefined\n}\n","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 * 파일 시스템 관련 유틸리티 함수들\n */\n\nimport { existsSync, mkdirSync, writeFileSync, rmSync, readdirSync, readFileSync } from \"fs\"\nimport * as path from \"path\"\n\n/**\n * 디렉토리가 존재하지 않으면 생성\n */\nexport const ensureDir = (dirPath: string): void => {\n  if (!existsSync(dirPath)) {\n    mkdirSync(dirPath, { recursive: true })\n  }\n}\n\n/**\n * 디렉토리를 비우고 정리\n */\nexport const clearDirectory = (dirPath: string): void => {\n  if (existsSync(dirPath)) {\n    readdirSync(dirPath).forEach((file) => {\n      rmSync(path.join(dirPath, file))\n    })\n  }\n}\n\n/**\n * 안전하게 파일 쓰기 (디렉토리 자동 생성)\n */\nexport const safeWriteFile = (filePath: string, content: string): void => {\n  const dir = path.dirname(filePath)\n  ensureDir(dir)\n  writeFileSync(filePath, content)\n}\n\n/**\n * JSON 파일 읽기 (파일이 없으면 기본값 반환)\n */\nexport const readJsonFile = <T>(filePath: string, defaultValue: T): T => {\n  if (!existsSync(filePath)) {\n    return defaultValue\n  }\n\n  try {\n    const content = readFileSync(filePath, \"utf-8\")\n    return JSON.parse(content)\n  } catch (error) {\n    console.warn(`Failed to read JSON file ${filePath}:`, error)\n    return defaultValue\n  }\n}\n\n/**\n * 파일 경로가 URL인지 로컬 파일인지 확인하여 절대 경로 반환\n */\nexport const resolveFilePath = (inputPath: string, baseDir?: string): string => {\n  if (inputPath.startsWith(\"http\")) {\n    return inputPath\n  }\n\n  if (baseDir) {\n    return path.join(baseDir, inputPath)\n  }\n\n  return inputPath\n}\n\n/**\n * 여러 파일명 조합하여 고유한 파일명 생성\n */\nexport const createUniqueFileName = (baseName: string, extension: string): string => {\n  const timestamp = Date.now()\n  return `${baseName}-${timestamp}.${extension}`\n}\n","/**\n * OpenAPI 문서 파싱 관련 유틸리티\n */\n\nimport SwaggerParser from \"@apidevtools/swagger-parser\"\nimport { OpenAPIV3_1 } from \"openapi-types\"\n\n/**\n * OpenAPI 문서를 역참조(dereference)하여 로드\n * 모든 $ref를 실제 스키마로 해석하여 반환\n */\nexport const getOpenAPIDocsDeref = async (\n  path: string\n): Promise<OpenAPIV3_1.Document | undefined> => {\n  const doc = await SwaggerParser.dereference(path)\n  const isOpenApiV3 = \"openapi\" in doc && doc.openapi.startsWith(\"3\")\n  if (isOpenApiV3) return doc as OpenAPIV3_1.Document\n  return undefined\n}\n\n/**\n * OpenAPI 문서를 번들(bundle)하여 로드\n * 외부 참조를 포함하여 하나의 문서로 통합\n */\nexport const getOpenAPIDocsBundle = async (\n  path: string\n): Promise<OpenAPIV3_1.Document | undefined> => {\n  const doc = await SwaggerParser.bundle(path)\n  const isOpenApiV3 = \"openapi\" in doc && doc.openapi.startsWith(\"3\")\n  if (isOpenApiV3) return doc as OpenAPIV3_1.Document\n  return undefined\n}\n\n/**\n * OpenAPI 문서의 유효성을 검증\n */\nexport const validateOpenAPIDoc = async (path: string): Promise<boolean> => {\n  try {\n    await SwaggerParser.validate(path)\n    return true\n  } catch (error) {\n    console.error(\"OpenAPI validation failed:\", error)\n    return false\n  }\n}\n\n/**\n * OpenAPI 문서에서 스키마 컴포넌트 추출\n */\nexport const extractSchemas = (\n  doc: OpenAPIV3_1.Document\n): Record<string, OpenAPIV3_1.SchemaObject> => {\n  return doc.components?.schemas || {}\n}\n\n/**\n * OpenAPI 문서에서 경로 정보 추출\n */\nexport const extractPaths = (doc: OpenAPIV3_1.Document): OpenAPIV3_1.PathsObject => {\n  return doc.paths || {}\n}\n\n/**\n * OpenAPI 버전 확인\n */\nexport const getOpenAPIVersion = (doc: any): string => {\n  return doc.openapi || doc.swagger || \"unknown\"\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() : \"faker.word.adjective()\"\n}\n","/**\n * Faker 관련 파싱 및 특별한 데이터 생성 로직\n */\n\nimport { Options, SchemaOutputType, faker } from \"../core\"\nimport { toTypeScriptCode, readJsonFile } from \"../utils\"\nimport { join } from \"path\"\n\n/**\n * 특별한 Faker 규칙을 파싱하여 적용\n * titles.json과 descriptions.json에서 사용자 정의 faker 규칙을 로드\n */\nexport const specialFakerParser = (options: Options) => {\n  if (options.specialPath === undefined)\n    return {\n      titleSpecial: {},\n      descriptionSpecial: {},\n    }\n\n  const titlePath = join(options.baseDir ?? \"\", options.specialPath, \"titles.json\")\n  const descPath = join(options.baseDir ?? \"\", options.specialPath, \"descriptions.json\")\n  const titleSpecialKey: Record<string, object> = readJsonFile(titlePath, {})\n  const descriptionSpecialKey: Record<string, object> = readJsonFile(descPath, {})\n\n  const titleSpecial = Object.entries(titleSpecialKey).reduce((acc, [key, value]) => {\n    const fakerValue = getFakerValue(value, options)\n    acc[key] = fakerValue\n    return acc\n  }, {} as Record<string, SchemaOutputType>)\n\n  const descriptionSpecial = Object.entries(descriptionSpecialKey).reduce((acc, [key, value]) => {\n    const fakerValue = getFakerValue(value, options)\n    acc[key] = fakerValue\n    return acc\n  }, {} as Record<string, SchemaOutputType>)\n\n  return { titleSpecial, descriptionSpecial }\n}\n\n/**\n * 특별한 Faker 값 정의에서 실제 값을 생성\n */\nconst getFakerValue = (value: object, options: Options): SchemaOutputType => {\n  if (\"value\" in value) {\n    // value type, use directly\n    return value.value as SchemaOutputType\n  }\n\n  if (\"module\" in value && \"type\" in value) {\n    // dynamic faker\n    if (options.isStatic === false) {\n      const fakerOption =\n        \"options\" in value\n          ? toTypeScriptCode(value.options, {\n              depth: 0,\n              ...options,\n            })\n          : \"\"\n      return `faker.${value.module}.${value.type}(${fakerOption})`\n    }\n\n    // faker type, make faker\n    const fakerModule = faker[value.module as keyof typeof faker]\n    if (fakerModule === undefined) {\n      console.warn(\"can't find faker module\", fakerModule)\n      return undefined\n    }\n\n    const fakerFunc = fakerModule[value.type as keyof typeof fakerModule] as Function\n    if (fakerFunc === undefined || typeof fakerFunc !== \"function\") {\n      console.warn(\"can't find faker function\", fakerFunc)\n      return undefined\n    }\n\n    return \"options\" in value ? fakerFunc(value.options) : fakerFunc()\n  }\n\n  return undefined\n}\n\n/**\n * Faker 모듈의 유효성을 검증\n */\nexport const validateFakerModule = (moduleName: string): boolean => {\n  return moduleName in faker\n}\n\n/**\n * Faker 함수의 유효성을 검증\n */\nexport const validateFakerFunction = (moduleName: string, functionName: string): boolean => {\n  try {\n    const fakerModule = faker[moduleName as keyof typeof faker]\n    return typeof fakerModule?.[functionName as keyof typeof fakerModule] === \"function\"\n  } catch {\n    return false\n  }\n}\n\n/**\n * 사용 가능한 Faker 모듈 목록 반환\n */\nexport const getAvailableFakerModules = (): string[] => {\n  return Object.keys(faker).filter((key) => typeof faker[key as keyof typeof faker] === \"object\")\n}\n\n/**\n * 특정 Faker 모듈의 사용 가능한 함수 목록 반환\n */\nexport const getAvailableFakerFunctions = (moduleName: string): string[] => {\n  try {\n    const fakerModule = faker[moduleName as keyof typeof faker]\n    if (!fakerModule) return []\n\n    return Object.keys(fakerModule).filter(\n      (key) => typeof fakerModule[key as keyof typeof fakerModule] === \"function\"\n    )\n  } catch {\n    return []\n  }\n}\n","/**\n * API 경로 정보 생성 로직\n * OpenAPI 문서에서 경로 정보를 추출하고 정규화하여 반환\n */\n\nimport {\n  HttpMethods,\n  Options,\n  PathNormalizedType,\n  ResponseSchemaType,\n  SchemaOutputType,\n  isNotNullish,\n} from \"../core\"\nimport { resolveFilePath } from \"../utils\"\nimport { getOpenAPIDocsBundle, parseSchema, specialFakerParser } from \"../parsers\"\nimport { isReference } from \"oazapfts/generate\"\n\n/**\n * OpenAPI 문서에서 API 경로 정보를 생성\n * 모든 경로와 메서드를 분석하여 정규화된 형태로 반환\n */\nexport const generateAPI = async (options: Options): Promise<PathNormalizedType[] | undefined> => {\n  const openapiPath = resolveFilePath(options.path, options.baseDir)\n  const doc = await getOpenAPIDocsBundle(openapiPath)\n\n  const samplePaths = doc?.paths\n  if (samplePaths === undefined) {\n    console.warn(\"No paths found\")\n    return undefined\n  }\n\n  const specialFakers = specialFakerParser(options)\n  const normalizedPaths = Object.entries(samplePaths).reduce((acc, [apiName, api]) => {\n    if (api === undefined) return acc\n\n    const paths = Object.values(HttpMethods)\n      .map((method) => {\n        if (api[method] === undefined) return undefined\n\n        const responses = Object.entries(api[method]?.responses ?? [])\n          .map(([statusCode, response]) => {\n            if (isReference(response)) return undefined\n            if (options.includeCodes && !options.includeCodes.includes(parseInt(statusCode)))\n              return undefined\n\n            const schema = response.content?.[\"application/json\"]?.schema ?? {}\n            const compositeSchema = createCompositeSchema(schema, specialFakers, options)\n\n            return {\n              statusCode: parseInt(statusCode),\n              description: response.description,\n              schema: compositeSchema,\n            }\n          })\n          .filter(isNotNullish)\n\n        return {\n          pathname: apiName.replace(/{/g, \":\").replace(/}/g, \"\"),\n          operationId: api[method]?.operationId ?? \"\",\n          summary: api[method]?.summary ?? \"\",\n          tags: api[method]?.tags ?? [\"default\"],\n          method,\n          responses,\n        } as PathNormalizedType\n      })\n      .filter(isNotNullish)\n\n    return [...acc, ...paths]\n  }, [] as PathNormalizedType[])\n\n  return normalizedPaths\n}\n\n/**\n * 스키마에서 복합 스키마 타입을 생성\n */\nconst createCompositeSchema = (\n  schema: any,\n  specialFakers: ReturnType<typeof specialFakerParser>,\n  options: Options\n): ResponseSchemaType => {\n  if (\"oneOf\" in schema) {\n    return {\n      type: \"oneOf\",\n      value: schema,\n    } as ResponseSchemaType\n  }\n\n  if (\"anyOf\" in schema) {\n    return {\n      type: \"anyOf\",\n      value: schema,\n    } as ResponseSchemaType\n  }\n\n  if (\"type\" in schema && \"items\" in schema && schema.type === \"array\") {\n    return {\n      type: \"array\",\n      value: schema.items,\n    } as ResponseSchemaType\n  }\n\n  // Todo: can't find sample data\n  // if (\"allOf\" in schema) {\n  //   return parseSchema(schema, {})\n  // }\n\n  if (isReference(schema)) {\n    return { type: \"ref\", value: schema } as ResponseSchemaType\n  }\n\n  if (Object.keys(schema).length === 0) {\n    // empty object return undefined\n    return undefined\n  }\n\n  return parseSchema(schema ?? {}, specialFakers, options, {}) as ResponseSchemaType\n}\n\n/**\n * API 경로에서 고유한 태그 목록 추출\n */\nexport const extractUniqueTags = (paths: PathNormalizedType[]): string[] => {\n  return Array.from(new Set(paths.map((path) => path.tags[0])))\n}\n\n/**\n * 특정 태그에 해당하는 경로들만 필터링\n */\nexport const filterPathsByTag = (\n  paths: PathNormalizedType[],\n  tag: string\n): PathNormalizedType[] => {\n  return paths.filter((path) => path.tags.includes(tag))\n}\n\n/**\n * HTTP 메서드별로 경로들을 그룹화\n */\nexport const groupPathsByMethod = (\n  paths: PathNormalizedType[]\n): Record<HttpMethods, PathNormalizedType[]> => {\n  return paths.reduce((acc, path) => {\n    if (!acc[path.method]) {\n      acc[path.method] = []\n    }\n    acc[path.method].push(path)\n    return acc\n  }, {} as Record<HttpMethods, PathNormalizedType[]>)\n}\n\n/**\n * 경로에서 사용된 모든 스키마 참조 추출\n */\nexport const extractSchemaReferences = (paths: PathNormalizedType[]): string[] => {\n  const refs = new Set<string>()\n\n  paths.forEach((path) => {\n    path.responses.forEach((response) => {\n      if (response.schema?.type === \"ref\") {\n        refs.add(response.schema.value.$ref)\n      }\n    })\n  })\n\n  return 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