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Framework","email":"travetto.framework@gmail.com"},"license":"MIT","homepage":"https://travetto.io","keywords":["decorators","faker","schema","travetto","typescript"],"repository":{"url":"git+https://github.com/travetto/travetto.git","directory":"module/schema-faker"},"description":"Data generation for schema-registered objects.","maintainers":[{"name":"arcsine","email":"timothy.soehnlin@gmail.com"}],"readme":"<!-- This file was generated by @travetto/doc and should not be modified directly -->\n<!-- Please modify https://github.com/travetto/travetto/tree/main/module/schema-faker/DOC.tsx and execute \"npx trv doc\" to rebuild -->\n# Schema Faker\n\n## Data generation for schema-registered objects.\n\n**Install: @travetto/schema-faker**\n```bash\nnpm install @travetto/schema-faker\n\n# or\n\nyarn add @travetto/schema-faker\n```\n\nIn the course of application development, there is often a need to generate fake data on demand. Given all the information that we have about the schemas provided, translating that into data generation is fairly straightforward. The generation utility is built upon [faker](https://github.com/faker-js/faker), mapping data types, and various field names into specific [faker](https://github.com/faker-js/faker) generation routines. \n\nBy default all types are mapped as-is:\n   *  `string`\n   *  `number`\n   *  `Date`\n   *  `boolean`\n   *  Enumerations as `string` or `number` types.\n   *  Provided regular expressions:\n\n      *  email\n      *  url\n      *  telephone\n      *  postalCode\n\n   *  Sub-schemas as registered via [@Schema](https://github.com/travetto/travetto/tree/main/module/schema/src/decorator/schema.ts#L19) decorators\n\nIn addition to the general types, the code relies upon name matching to provide additional refinement:\n\n**Code: Supported Mappings**\n```typescript\nstatic #namesToType = {\n    string: new Map<RegExp, () => string>([\n      [/^(image|img).*url$/, faker.image.url],\n      [/^url$/, faker.internet.url],\n      [/^email(addr(ress)?)?$/, faker.internet.email],\n      [/^(tele)?phone(num|number)?$/, faker.phone.number],\n      [/^((postal|zip)code)|zip$/, faker.location.zipCode],\n      [/name|fname|firstName/i, faker.person.firstName],\n      [/l(ast)?name/, faker.person.lastName],\n      [/^ip(add(ress)?)?$/, faker.internet.ip],\n      [/^ip(add(ress)?)?(v?)6$/, faker.internet.ipv6],\n      [/^username$/, faker.internet.username],\n      [/^domain(name)?$/, faker.internet.domainName],\n      [/^file(path|name)?$/, faker.system.filePath],\n      [/^street(1)?$/, faker.location.streetAddress],\n      [/^street2$/, faker.location.secondaryAddress],\n      [/^county$/, faker.location.county],\n      [/^country$/, faker.location.country],\n      [/^state$/, faker.location.state],\n      [/^lon(gitude)?$/, (): string => `${faker.location.longitude()}`],\n      [/^lat(itude)?$/, (): string => `${faker.location.latitude()}`],\n      [/(profile).*(image|img)/, faker.image.avatar],\n      [/(image|img)/, faker.image.url],\n      [/^company(name)?$/, faker.company.name],\n      [/(desc|description)$/, faker.lorem.sentences.bind(null, 10)]\n    ]),\n    date: new Map([\n      [/dob|birth/, (): Date => faker.date.past({ years: 60 })],\n      [/create|creation/, this.#between.bind(null, -200, -100)],\n      [/(update|modify|modified)/, this.#between.bind(null, -100, -50)]\n    ])\n  };\n```\n\nAn example of this would be:\n\n**Code: More complex Schema, used with Faker**\n```typescript\nimport { Schema } from '@travetto/schema';\nimport { SchemaFaker } from '@travetto/schema-faker';\n\n@Schema()\nclass Address {\n  street1: string;\n  street2?: string;\n  city: string;\n  state: string;\n  country: string;\n}\n\n@Schema()\nclass User {\n  fName: string;\n  lName: string;\n  email: string;\n  phone: string;\n  dob?: Date;\n  address: Address;\n}\n\nexport function generate(): User {\n  const user = SchemaFaker.generate(User);\n  return user;\n}\n```\n","readmeFilename":"README.md"}