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runtime: auto-generates input types, resolves @relation with DataLoader, converts $operators, generates TypeScript types","maintainers":[{"name":"bairock","email":"bairock@live.ru"}],"readme":"<p align=\"center\">\n  <h1 align=\"center\">Lenz</h1>\n  <p align=\"center\">GraphQL + MongoDB runtime engine</p>\n  <p align=\"center\">\n    <a href=\"https://www.npmjs.com/package/lenz\"><img src=\"https://img.shields.io/npm/v/lenz\" alt=\"npm version\"></a>\n    <a href=\"#\"><img src=\"https://img.shields.io/npm/dm/lenz\" alt=\"npm downloads\"></a>\n    <a href=\"#\"><img src=\"https://img.shields.io/badge/license-MIT-blue\" alt=\"license\"></a>\n  </p>\n</p>\n\nLenz is a runtime engine that bridges GraphQL (Apollo Server) and MongoDB. Write your schema in GraphQL SDL — Lenz auto-generates input types with MongoDB operators, wraps resolvers, and provides a typed client that returns clean data instead of raw driver results.\n\n```ts\nimport { LenzClient } from '@bairock/lenz';\n\nconst { schema, lenz } = await LenzClient({ mongo, typeDefs, resolvers });\n\n// Fully typed — returns User, not InsertOneResult\nconst user = await lenz.collection('user').findOne({ name: { $eq: \"Alice\" } });\n```\n\n---\n\n- [Features](#features)\n- [Installation](#installation)\n- [Quick Start](#quick-start)\n- [Client](#client)\n\n---\n\n## Features\n\n- Generates `FilterInput`/`InsertInput`/`UpdateInput` from GraphQL SDL with MongoDB operators\n- Auto-converts `eq` → `$eq` (GraphQL doesn't support `$` in field names)\n- Generates TypeScript types — models, filters, resolver arguments\n- Typed client `lenz.collection('user').*` with autocomplete\n- Response transformation: `_id` → `id`, `ObjectId` → string, `Date` → ISO\n- `@relation` — auto-resolves relationships via DataLoader (N+1 prevention), no `$lookup` — works on sharded clusters\n- `@unique` — auto-creates unique indexes in MongoDB\n- Auto-sets `createdAt` / `updatedAt`\n- Normalizes `MongoError` → `GraphQLError` with error codes\n\n## Installation\n\n```bash\nnpm install @bairock/lenz @apollo/server graphql mongodb\n```\n\n## Quick Start\n\n**1. Schema (`schema.graphql`)**\n\n```graphql\ntype User {\n  id: ID!\n  name: String!\n  email: String! @unique\n  createdAt: DateTime\n  updatedAt: DateTime\n}\n\ntype Query {\n  findOneUser(filter: UserFilterInput!, options: FindOptionsInput): User\n  findManyUser(filter: UserFilterInput, sort: SortInput, skip: Int, limit: Int): [User!]!\n  countUser(filter: UserFilterInput): Int!\n}\n\ntype Mutation {\n  insertOneUser(document: UserInsertInput!, options: FindOptionsInput): User!\n  updateOneUser(filter: UserFilterInput!, update: UserUpdateInput!, options: FindOptionsInput): User\n  deleteOneUser(filter: UserFilterInput!, options: FindOptionsInput): Boolean!\n}\n```\n\n**2. Server**\n\n```ts\nimport { ApolloServer } from '@apollo/server';\nimport { startStandaloneServer } from '@apollo/server/standalone';\nimport { MongoClient } from 'mongodb';\nimport { LenzClient, gql } from '@bairock/lenz';\n\nconst mongo = await new MongoClient('mongodb://localhost:27017')\n  .connect().then(c => c.db('myapp'));\n\nconst typeDefs = gql`\n  type User { id: ID!, name: String!, email: String! @unique, createdAt: DateTime, updatedAt: DateTime }\n  type Query { findOneUser(filter: UserFilterInput!, options: FindOptionsInput): User ... }\n  type Mutation { insertOneUser(document: UserInsertInput!, options: FindOptionsInput): User! ... }\n`;\n\nconst resolvers = {\n  Query: {\n    findOneUser:  (_, args, { lenz }) => lenz.collection('user').findOne(args.filter, args.options),\n    findManyUser: (_, args, { lenz }) => lenz.collection('user').find(args.filter, args.options),\n    countUser:    (_, args, { lenz }) => lenz.collection('user').countDocuments(args.filter),\n  },\n  Mutation: {\n    insertOneUser: (_, args, { lenz }) => lenz.collection('user').insertOne(args.document, args.options),\n    updateOneUser: (_, args, { lenz }) => lenz.collection('user').updateOne(args.filter, args.update, args.options),\n    deleteOneUser: (_, args, { lenz }) => lenz.collection('user').deleteOne(args.filter, args.options),\n  },\n};\n\nconst { schema, lenz } = await LenzClient({ mongo, typeDefs, resolvers });\n\nconst server = new ApolloServer({ schema });\nconst { url } = await startStandaloneServer(server, {\n  context: async () => ({ lenz }),\n  listen: { port: 4000 },\n});\n```\n\n**3. Generate TypeScript types**\n\n```bash\nnpx lenz generate typed --schema schema.graphql --out generated\n```\n\n**4. Generate CRUD modules (optional)**\n\n```bash\nnpx lenz generate crud --schema schema.graphql --out src/modules --ts\n```\n\n## Client\n\nAll methods return clean data, not raw MongoDB driver results.\n\n```ts\nlenz.collection('user').findOne(filter, options)    → Promise<User | null>\nlenz.collection('user').find(filter, options)        → Promise<User[]>\nlenz.collection('user').countDocuments(filter)       → Promise<number>\nlenz.collection('user').insertOne(document, options) → Promise<User>\nlenz.collection('user').insertMany(documents)        → Promise<number>\nlenz.collection('user').updateOne(filter, update)    → Promise<User | null>\nlenz.collection('user').updateMany(filter, update)   → Promise<number>\nlenz.collection('user').replaceOne(filter, doc)      → Promise<User | null>\nlenz.collection('user').deleteOne(filter)            → Promise<boolean>\nlenz.collection('user').deleteMany(filter)           → Promise<number>\n```\n\n### CLI\n\n```bash\nnpx lenz init                           # create schema.graphql\nnpx lenz generate typed                 # generate TypeScript types\nnpx lenz generate crud                  # generate CRUD modules\n```\n\nOption types are re-exported from `@bairock/lenz`:\n`FindOneOptions`, `FindOptions`, `InsertOneOptions`, `UpdateOptions`, `ReplaceOptions`, `DeleteOptions`, `CountDocumentsOptions`\n\n### Context\n\n```ts\nimport type { Context } from '@bairock/lenz';\n\nconst server = new ApolloServer({ schema });\nconst { url } = await startStandaloneServer(server, {\n  context: async (): Promise<Context> => ({ lenz }),\n});\n```\n\n### `buildSchema()`\n\nLegacy helper — builds a transformed schema without the typed client:\n\n```ts\nimport { buildSchema } from '@bairock/lenz';\n\nconst schema = buildSchema({ mongo, typeDefs, resolvers });\n```\n\n## Why Lenz\n\nIf you're building a GraphQL API on MongoDB, Lenz eliminates boilerplate:\n\n1. **Manual input types** — Lenz generates `FilterInput`, `InsertInput`, `UpdateInput` from your SDL\n2. **`$` operator conversion** — GraphQL doesn't allow `$` in field names; Lenz converts `eq` → `$eq` automatically\n3. **Raw driver results** — Lenz unwraps `InsertOneResult`, `UpdateResult`, `DeleteResult` and returns clean data\n4. **N+1 queries** — `@relation` uses DataLoader to batch-load related documents; no `$lookup` means all queries are point queries on `_id`, so relations work across shards without `where` clauses or `allowDiskUse`\n5. **Type conversions** — `_id` → `id`, `ObjectId` → string, `Date` → ISO — done automatically\n6. **Timestamps** — `createdAt` / `updatedAt` are set automatically\n7. **Indexes** — `@unique` creates MongoDB unique indexes on startup\n8. **Error handling** — `MongoError` → `GraphQLError` with consistent error codes\n9. **TypeScript** — Full type generation for models, input types, resolver args, and typed client delegates\n\n### Sharded clusters\n\nMongoDB's `$lookup` does not work on sharded collections unless every shard contains a matching `where` clause, and even then it requires `allowDiskUse` and suffers from cross-shard network overhead. Lenz avoids `$lookup` entirely: `@relation` resolves references by collecting foreign `_id` values and loading them in a single batch via `{ _id: { $in: [...] } }` — a point query that hits the correct shard directly. This makes Lenz a natural fit for sharded MongoDB deployments where `$lookup`-based ORMs break down.\n\n### Commands\n\n```\nnpx lenz init              — create schema.graphql\nnpx lenz generate typed    — generate TypeScript types\nnpx lenz generate crud     — generate CRUD modules\n```\n","readmeFilename":"README.md"}