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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"4362b42675f76d90f079ed3b71a79e82fabee640","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@1.0.0-beta.15","_nodeVersion":"14.14.0","_npmVersion":"7.5.6","dist":{"integrity":"sha512-mWwIoTcj/8X5Dng63VQC3uzZQatbt68YRdIopiRYs9nFllMFdbifPthMWcoDh2vaHe8w8eXHID2pmzt7esWbHA==","shasum":"e196063436a7d881aedd13db3c72913ebde78bb7","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-1.0.0-beta.15.tgz","fileCount":142,"unpackedSize":252645,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"c9ba8a76a96f4139d22914fe169b432a922237dd","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@2.0.0-beta.1","_nodeVersion":"16.1.0","_npmVersion":"7.12.0","dist":{"integrity":"sha512-as62Xf/l4HgLKcBgvagzxcQveZG2OH/LfXmhWJIrimREeN4lYCxi8eDGm56tRVPWSIMTaBgbFgIpXmFqlOtGpA==","shasum":"5ca3c5b0601d9d289416469ef3c36bd7cdfa606b","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-2.0.0-beta.1.tgz","fileCount":142,"unpackedSize":250973,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"dbded46d97b3a8cd0b36242cfa4908b5aed4c166","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@2.0.0-beta.3","_nodeVersion":"16.1.0","_npmVersion":"7.12.0","dist":{"integrity":"sha512-AuT2rpm71+iZ67HLrpOluLDcn2SKpYF0jJPoQEl5z9Cc1Ymk5uy1u9ym0OHSkIUOdotbIgslNCvSNul+9v1zQw==","shasum":"717721eb2e18114f073c1ae010884ce44aefad3c","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-2.0.0-beta.3.tgz","fileCount":92,"unpackedSize":150989,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"963580edb7b85184da26bf7920f96d3a0bf4683a","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@2.0.0-beta.5","_nodeVersion":"16.1.0","_npmVersion":"7.12.0","dist":{"integrity":"sha512-Lc6JeZAOnkffa14xntRKWAJqhTqinLvb1wNNKJegA8xi/6br1pwJR8bTYO45okq11DItp3KqULivJDzha9GmVg==","shasum":"dfc3f0634eb2b54f155f1e27839d9e863f1a22d9","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-2.0.0-beta.5.tgz","fileCount":92,"unpackedSize":151086,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"540442caaeae88c8b8589a77ad20bc435a1f807c","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@2.0.0-beta.7","_nodeVersion":"16.3.0","_npmVersion":"7.15.1","dist":{"integrity":"sha512-uQkxExXtIwB+FLrj12/GO1jnEwDkv37Z1/1X8y5QsMn1PIgvKDy/G9691TVzHtFQEt9zDL3lSgGNIS0m3b2XdQ==","shasum":"010658cd04cbab8b3f63a86b3d52522b8962809c","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-2.0.0-beta.7.tgz","fileCount":95,"unpackedSize":152425,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User);\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the tests.\n","readmeFilename":"README.md","gitHead":"dfe0f1416bd367810caef37d25cdd4a9cb19cb93","bugs":{"url":"https://github.com/j/type-mongodb/issues"},"homepage":"https://github.com/j/type-mongodb#readme","dependencies":{"uuid":"^8.3.2"},"_id":"type-mongodb@2.0.0-beta.9","_nodeVersion":"16.3.0","_npmVersion":"7.15.1","dist":{"integrity":"sha512-g2EtFygrMeEYtUrSnb9lYo7LCM7OQd/CIxAaykIJ2GbXl359W9kjJwpaMCv/laeVdQvgU4cAE45xMzY/sEQlkg==","shasum":"b46372b42e68d6a979badc74686daed5aad81262","tarball":"https://registry.npmjs.org/type-mongodb/-/type-mongodb-2.0.0-beta.9.tgz","fileCount":95,"unpackedSize":151848,"npm-signature":"-----BEGIN PGP SIGNATURE-----\r\nVersion: OpenPGP.js v3.0.13\r\nComment: 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { DocumentRepository } from 'type-mongodb';\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // for type inference when using `getRepository`\n [DocumentRepository]: UserRepository;\n \n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User); // repository typed as UserRepository\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = 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\n\n\n**type-mongodb** makes it easy to map classes to MongoDB documents and back using `@decorators`.\n\n## Features\n\n- Extremely simply `@Decorator()` based document mapping\n- Very fast 🚀! (thanks to JIT compilation)\n- RAW. MongoDB is already extremely easy to use. It's best to use the driver\n as it's intended. No validation, no change-set tracking, no magic -- just class mapping\n- Custom Repositories\n- Event Subscribers\n- Transaction Support\n- Discriminator Mapping\n- & more!\n\n## How to use\n\n`type-orm` allows you to create a base document class for common functionality. Notice\nthat we don't enforce strict types. MongoDB is \"schema-less\", so we've decided to just\nsupport their main types and not do anything fancy. Again, we wanted to keep it as close\nto the core driver as possible.\n\n```typescript\nimport { Id, Field } from 'type-mongodb';\nimport { ObjectId } from 'mongodb';\n\nabstract class BaseDocument {\n @Id()\n _id: ObjectId;\n\n get id(): string {\n return this._id.toHexString();\n }\n\n @Field()\n createdAt: Date = new Date();\n\n @Field()\n updatedAt: Date = new Date();\n}\n```\n\nNow create our document class with some fields.\n\n```typescript\nimport { Document, Field } from 'type-mongodb';\nimport { BaseDocument, Address, Pet } from './models';\n\n@Document()\nclass User extends BaseDocument {\n @Field()\n name: string;\n\n @Field(() => Address)\n address: Address; // single embedded document\n\n @Field(() => [Address])\n addresses: Address[] = []; // array of embedded documents\n\n @Field(() => [Pet])\n pets: Pet[] = []; // array of discriminator mapped documents\n\n @Field(() => [Pet])\n favoritePet: Pet = []; // single discriminator mapped document\n}\n```\n\nAnd here's the embedded `Address` document.\n\n```typescript\nimport { Field } from 'type-mongodb';\n\nclass Address {\n @Field()\n city: string;\n\n @Field()\n state: string;\n}\n```\n\n`type-mongodb` also has support for discriminator mapping (polymorphism). You do this\nby creating a base class mapped by `@Discriminator({ property: '...' })` with a `@Field()` with the\nname of the \"property\". Then decorate discriminator types with `@Discriminator({ value: '...' })`\nand `type-mongodb` takes care of the rest.\n\n```typescript\nimport { Discriminator, Field } from 'type-mongodb';\n\n@Discriminator({ property: 'type' })\nabstract class Pet {\n @Field()\n abstract type: string;\n\n @Field()\n abstract sound: string;\n\n speak(): string {\n return this.sound;\n }\n}\n\n@Discriminator({ value: 'dog' })\nclass Dog extends Pet {\n type: string = 'dog';\n sound: string = 'ruff';\n\n // dog specific fields & methods\n}\n\n@Discriminator({ value: 'cat' })\nclass Cat extends Pet {\n type: string = 'cat';\n sound: string = 'meow';\n\n // cat specific fields & methods\n}\n```\n\nAnd now, lets see the magic!\n\n```typescript\nimport { DocumentManager } from 'type-mongodb';\nimport { User } from './models';\n\nasync () => {\n const dm = await DocumentManager.create({\n connection: {\n uri: process.env.MONGO_URI,\n database: process.env.MONGO_DB\n },\n documents: [User]\n });\n\n const repository = dm.getRepository(User);\n\n await repository.create({\n name: 'John Doe',\n address: {\n city: 'San Diego',\n state: 'CA'\n },\n addresses: [\n {\n city: 'San Diego',\n state: 'CA'\n }\n ],\n pets: [{ type: 'dog', sound: 'ruff' }],\n favoritePet: { type: 'dog', sound: 'ruff' }\n });\n\n const users = await repository.find().toArray();\n};\n```\n\nWhat about custom repositories? Well, that's easy too:\n\n```typescript\nimport { Repository } from 'type-mongodb';\nimport { User } from './models';\n\nexport class UserRepository extends Repository {\n async findJohnDoe(): Promise {\n return this.findOneOrFail({ name: 'John Doe' });\n }\n}\n```\n\nThen register this repository with the `User` class:\n\n```typescript\nimport { DocumentRepository } from 'type-mongodb';\nimport { UserRepository } from './repositories';\n// ...\n\n@Document({ repository: () => UserRepository })\nclass User extends BaseDocument {\n // for type inference when using `getRepository`\n [DocumentRepository]: UserRepository;\n \n // ...\n}\n```\n\n... and finally, to use:\n\n```typescript\nconst repository = dm.getRepository(User); // repository typed as UserRepository\n```\n\nWhat about custom IDs? You can either create your own type that extends `Type`, or use our built-ins:\n\n```typescript\nimport { Id, Field, UUIDType } from 'type-mongodb';\n\n@Document()\nclass User {\n @Id({ type: UUIDType })\n _id: string;\n\n // fields can also be a \"UUID\" type.\n @Field({\n type: UUIDType /* create: true (pass this to auto-generate the uuid, otherwise, omit) */\n })\n uuid: string;\n}\n```\n\nWhat about events? We want the base class to have createdAt and updatedAt be mapped\ncorrectly.\n\n```typescript\nimport {\n EventSubscriber,\n DocumentManager,\n InsertEvent,\n UpdateEvent\n} from 'type-mongodb';\nimport { BaseDocument } from './models';\n\nexport class TimestampableSubscriber implements EventSubscriber {\n // Find all documents that extend BaseDocument\n getSubscribedDocuments?(dm: DocumentManager): any[] {\n return dm\n .filterMetadata(\n (meta) => meta.DocumentClass.prototype instanceof BaseDocument\n )\n .map((meta) => meta.DocumentClass);\n }\n\n beforeInsert(e: InsertEvent) {\n if (!e.model.updatedAt) {\n e.model.updatedAt = new Date();\n }\n\n if (!e.model.createdAt) {\n e.model.createdAt = new Date();\n }\n }\n\n beforeUpdate(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n beforeUpdateMany(e: UpdateEvent) {\n this.prepareUpdate(e);\n }\n\n prepareUpdate(e: UpdateEvent) {\n e.update.$set = {\n updatedAt: new Date(),\n ...(e.update.$set || {})\n };\n\n e.update.$setOnInsert = {\n createdAt: new Date(),\n ...(e.update.$setOnInsert || {})\n };\n }\n}\n```\n\n...then register TimestampableSubscriber:\n\n```typescript\nconst dm = await DocumentManager.create({\n /// ...,\n subscribers: [TimestampableSubscriber]\n});\n```\n\n#### Other Common Features\n\n```typescript\n// custom collection and database\n@Document({ database: 'app', collection: 'users' })\n\n// using internal hydration methods\ndm.toDB(User, user);\ndm.fromDB(User, { /* document class */ });\ndm.init(User, { /* user props */ });\ndm.merge(User, user, { /* user props */ });\n```\n\nFor more advanced usage and examples, check out the 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