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prisma-database

Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.

$ 安裝

git clone https://github.com/Intellifill/IntelliFill /tmp/IntelliFill && cp -r /tmp/IntelliFill/.claude/skills/prisma-database ~/.claude/skills/IntelliFill

// tip: Run this command in your terminal to install the skill

SKILL.md
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name: prisma-database description: Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.

Prisma Database Development Skill

This skill provides comprehensive guidance for working with Prisma ORM and PostgreSQL in IntelliFill.

Table of Contents

  1. Schema Design
  2. Naming Conventions
  3. Relations
  4. Migrations
  5. Query Patterns
  6. Advanced Features
  7. Performance Optimization
  8. Testing with Prisma

Schema Design

IntelliFill uses PostgreSQL with Prisma ORM for type-safe database access.

Schema Location

quikadmin/prisma/
├── schema.prisma           # Main schema definition
├── migrations/             # Migration history
│   └── YYYYMMDDHHMMSS_description/
│       └── migration.sql
└── seed.ts                 # Seed data script

Base Schema Template

// quikadmin/prisma/schema.prisma

generator client {
  provider        = "prisma-client-js"
  previewFeatures = ["postgresqlExtensions"]
}

datasource db {
  provider   = "postgresql"
  url        = env("DATABASE_URL")
  directUrl  = env("DIRECT_URL")
  extensions = [pgvector(map: "vector")]
}

// Base model template with common fields
model User {
  id        String   @id @default(uuid())
  email     String   @unique
  name      String?

  // Timestamps (always include)
  createdAt DateTime @default(now()) @map("created_at")
  updatedAt DateTime @updatedAt @map("updated_at")

  // Soft delete support
  deletedAt DateTime? @map("deleted_at")

  // Relations
  documents Document[]

  @@map("users") // Plural table name
}

model Document {
  id          String   @id @default(uuid())
  name        String
  description String?

  // Foreign keys
  userId      String   @map("user_id")
  user        User     @relation(fields: [userId], references: [id], onDelete: Cascade)

  // Metadata
  status      DocumentStatus @default(PENDING)

  // Timestamps
  createdAt   DateTime @default(now()) @map("created_at")
  updatedAt   DateTime @updatedAt @map("updated_at")
  deletedAt   DateTime? @map("deleted_at")

  // Indexes
  @@index([userId])
  @@index([status])
  @@index([createdAt])
  @@map("documents")
}

enum DocumentStatus {
  PENDING
  PROCESSING
  COMPLETED
  FAILED
}

Naming Conventions

IntelliFill follows strict naming conventions for consistency.

Model Naming

// Models: PascalCase, singular
model User { }
model Document { }
model TemplateMapping { }

// Table names: snake_case, plural (use @@map)
@@map("users")
@@map("documents")
@@map("template_mappings")

Field Naming

model Document {
  // Fields: camelCase in Prisma
  id String
  userId String
  createdAt DateTime

  // Column names: snake_case in database (use @map)
  userId String @map("user_id")
  createdAt DateTime @map("created_at")

  // Relations: camelCase, descriptive
  user User
  templateMappings TemplateMapping[]
}

Enum Naming

// Enums: PascalCase
enum DocumentStatus {
  PENDING      // Values: SCREAMING_SNAKE_CASE
  PROCESSING
  COMPLETED
  FAILED
}

Relations

One-to-Many Relationship

// User has many Documents
model User {
  id        String   @id @default(uuid())
  documents Document[]

  @@map("users")
}

model Document {
  id     String @id @default(uuid())
  userId String @map("user_id")

  // Relation field
  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)

  // Index on foreign key
  @@index([userId])
  @@map("documents")
}

Many-to-Many Relationship

// Explicit join table (recommended)
model Document {
  id   String @id @default(uuid())
  tags DocumentTag[]

  @@map("documents")
}

model Tag {
  id        String @id @default(uuid())
  name      String @unique
  documents DocumentTag[]

  @@map("tags")
}

// Join table with additional fields
model DocumentTag {
  documentId String   @map("document_id")
  tagId      String   @map("tag_id")
  addedAt    DateTime @default(now()) @map("added_at")

  document   Document @relation(fields: [documentId], references: [id], onDelete: Cascade)
  tag        Tag      @relation(fields: [tagId], references: [id], onDelete: Cascade)

  @@id([documentId, tagId])
  @@index([tagId])
  @@map("document_tags")
}

Self-Referencing Relationship

model Category {
  id       String     @id @default(uuid())
  name     String

  // Self-reference for hierarchy
  parentId String?    @map("parent_id")
  parent   Category?  @relation("CategoryHierarchy", fields: [parentId], references: [id])
  children Category[] @relation("CategoryHierarchy")

  @@index([parentId])
  @@map("categories")
}

One-to-One Relationship

model User {
  id      String   @id @default(uuid())
  profile Profile?

  @@map("users")
}

model Profile {
  id     String @id @default(uuid())
  bio    String?
  avatar String?

  userId String @unique @map("user_id")
  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)

  @@map("profiles")
}

Migrations

Creating Migrations

# Create migration from schema changes
cd quikadmin
npx prisma migrate dev --name description_of_change

# Examples
npx prisma migrate dev --name add_document_status
npx prisma migrate dev --name add_user_profile
npx prisma migrate dev --name create_knowledge_base_tables

Migration Best Practices

  1. Descriptive names - Use clear, concise descriptions
  2. Small migrations - One logical change per migration
  3. Review SQL - Always check generated SQL before applying
  4. Backup data - Backup production data before migrations
  5. Test rollback - Ensure migrations can be rolled back

Manual Migration Editing

-- quikadmin/prisma/migrations/20240101000000_add_indexes/migration.sql

-- Add indexes for query performance
CREATE INDEX CONCURRENTLY IF NOT EXISTS "documents_user_id_status_idx"
  ON "documents" ("user_id", "status");

-- Add full-text search index
CREATE INDEX IF NOT EXISTS "documents_name_search_idx"
  ON "documents" USING gin(to_tsvector('english', name));

-- Add check constraint
ALTER TABLE "documents"
  ADD CONSTRAINT "documents_name_length_check"
  CHECK (length(name) >= 1 AND length(name) <= 255);

Migration Workflow

# 1. Modify schema.prisma
# 2. Create migration
npx prisma migrate dev --name my_change

# 3. Review generated SQL in migrations/*/migration.sql
# 4. Edit migration SQL if needed
# 5. Apply migration
npx prisma migrate deploy

# 6. Regenerate Prisma Client
npx prisma generate

Query Patterns

Basic CRUD Operations

import prisma from '@/utils/prisma';

// CREATE
const document = await prisma.document.create({
  data: {
    name: 'My Document',
    userId: 'user-123',
    status: 'PENDING',
  },
});

// READ - Single
const document = await prisma.document.findUnique({
  where: { id: 'doc-123' },
  include: { user: true }, // Include relations
});

// READ - Multiple
const documents = await prisma.document.findMany({
  where: {
    userId: 'user-123',
    status: 'COMPLETED',
  },
  orderBy: { createdAt: 'desc' },
  take: 20,
  skip: 0,
});

// UPDATE
const updated = await prisma.document.update({
  where: { id: 'doc-123' },
  data: { name: 'New Name' },
});

// DELETE
await prisma.document.delete({
  where: { id: 'doc-123' },
});

Filtering and Search

// Multiple conditions (AND)
const documents = await prisma.document.findMany({
  where: {
    userId: 'user-123',
    status: 'COMPLETED',
    deletedAt: null,
  },
});

// OR conditions
const documents = await prisma.document.findMany({
  where: {
    OR: [
      { status: 'COMPLETED' },
      { status: 'PROCESSING' },
    ],
  },
});

// Complex nested conditions
const documents = await prisma.document.findMany({
  where: {
    AND: [
      { userId: 'user-123' },
      {
        OR: [
          { name: { contains: 'invoice', mode: 'insensitive' } },
          { description: { contains: 'invoice', mode: 'insensitive' } },
        ],
      },
    ],
  },
});

// String filters
const documents = await prisma.document.findMany({
  where: {
    name: {
      contains: 'search',      // LIKE '%search%'
      startsWith: 'prefix',    // LIKE 'prefix%'
      endsWith: 'suffix',      // LIKE '%suffix'
      mode: 'insensitive',     // Case-insensitive
    },
  },
});

// Date filters
const documents = await prisma.document.findMany({
  where: {
    createdAt: {
      gte: new Date('2024-01-01'), // Greater than or equal
      lte: new Date('2024-12-31'), // Less than or equal
    },
  },
});

// Array filters
const documents = await prisma.document.findMany({
  where: {
    tags: {
      hasSome: ['urgent', 'important'],  // Has any of these tags
      hasEvery: ['approved', 'final'],   // Has all of these tags
    },
  },
});

Pagination

// Offset-based pagination
async function getDocuments(page: number, limit: number) {
  const skip = (page - 1) * limit;

  const [documents, total] = await Promise.all([
    prisma.document.findMany({
      where: { userId: 'user-123' },
      skip,
      take: limit,
      orderBy: { createdAt: 'desc' },
    }),
    prisma.document.count({
      where: { userId: 'user-123' },
    }),
  ]);

  return {
    documents,
    total,
    page,
    totalPages: Math.ceil(total / limit),
  };
}

// Cursor-based pagination (better for large datasets)
async function getDocumentsCursor(cursor?: string, limit: number = 20) {
  const documents = await prisma.document.findMany({
    take: limit,
    ...(cursor && {
      skip: 1, // Skip the cursor
      cursor: { id: cursor },
    }),
    orderBy: { createdAt: 'desc' },
  });

  return {
    documents,
    nextCursor: documents[documents.length - 1]?.id,
  };
}

Aggregations

// Count
const count = await prisma.document.count({
  where: { status: 'COMPLETED' },
});

// Aggregate functions
const stats = await prisma.document.aggregate({
  where: { userId: 'user-123' },
  _count: { id: true },
  _avg: { processingTime: true },
  _sum: { pageCount: true },
  _min: { createdAt: true },
  _max: { createdAt: true },
});

// Group by
const statusCounts = await prisma.document.groupBy({
  by: ['status'],
  _count: { id: true },
  where: { userId: 'user-123' },
});

Transactions

// Sequential operations in transaction
const result = await prisma.$transaction(async (tx) => {
  // Create document
  const document = await tx.document.create({
    data: { name: 'New Doc', userId: 'user-123' },
  });

  // Create mapping
  const mapping = await tx.templateMapping.create({
    data: {
      documentId: document.id,
      templateId: 'template-123',
    },
  });

  // Update user stats
  await tx.user.update({
    where: { id: 'user-123' },
    data: { documentCount: { increment: 1 } },
  });

  return { document, mapping };
});

// Batch operations
await prisma.$transaction([
  prisma.document.create({ data: {...} }),
  prisma.document.update({ where: {...}, data: {...} }),
  prisma.document.delete({ where: {...} }),
]);

Soft Delete Pattern

// Add deletedAt field to models
model Document {
  deletedAt DateTime? @map("deleted_at")
}

// Soft delete
async function softDelete(id: string) {
  return prisma.document.update({
    where: { id },
    data: { deletedAt: new Date() },
  });
}

// Exclude soft-deleted in queries
const documents = await prisma.document.findMany({
  where: {
    userId: 'user-123',
    deletedAt: null, // Only non-deleted
  },
});

// Include soft-deleted
const allDocuments = await prisma.document.findMany({
  where: { userId: 'user-123' },
  // No deletedAt filter
});

// Restore soft-deleted
async function restore(id: string) {
  return prisma.document.update({
    where: { id },
    data: { deletedAt: null },
  });
}

Advanced Features

JSON Fields

model Document {
  id       String @id @default(uuid())
  metadata Json?  // JSON field

  @@map("documents")
}

// Create with JSON
await prisma.document.create({
  data: {
    name: 'Doc',
    metadata: {
      category: 'invoice',
      tags: ['urgent'],
      customFields: { field1: 'value1' },
    },
  },
});

// Query JSON fields (PostgreSQL-specific)
const documents = await prisma.document.findMany({
  where: {
    metadata: {
      path: ['category'],
      equals: 'invoice',
    },
  },
});

Full-Text Search

model Document {
  id          String @id @default(uuid())
  name        String
  description String?

  // Add GIN index for full-text search in migration
  @@map("documents")
}

-- In migration SQL
CREATE INDEX "documents_search_idx"
  ON "documents"
  USING gin(to_tsvector('english', name || ' ' || COALESCE(description, '')));

// Use raw SQL for full-text search
const documents = await prisma.$queryRaw`
  SELECT * FROM documents
  WHERE to_tsvector('english', name || ' ' || COALESCE(description, ''))
    @@ plainto_tsquery('english', ${searchQuery})
  ORDER BY ts_rank(
    to_tsvector('english', name || ' ' || COALESCE(description, '')),
    plainto_tsquery('english', ${searchQuery})
  ) DESC
  LIMIT 20;
`;

pgvector for Embeddings

// Enable pgvector extension
datasource db {
  provider   = "postgresql"
  url        = env("DATABASE_URL")
  extensions = [pgvector(map: "vector")]
}

model KnowledgeChunk {
  id        String                 @id @default(uuid())
  content   String
  embedding Unsupported("vector(1536)")? // OpenAI embedding dimension

  @@map("knowledge_chunks")
}

// Store embedding
await prisma.$executeRaw`
  INSERT INTO knowledge_chunks (id, content, embedding)
  VALUES (${id}, ${content}, ${embedding}::vector)
`;

// Similarity search
const results = await prisma.$queryRaw`
  SELECT id, content, embedding <=> ${queryEmbedding}::vector AS distance
  FROM knowledge_chunks
  ORDER BY distance
  LIMIT 10;
`;

Performance Optimization

Indexes

model Document {
  id     String @id @default(uuid())
  userId String @map("user_id")
  status DocumentStatus
  name   String

  // Single-column indexes
  @@index([userId])
  @@index([status])
  @@index([createdAt])

  // Composite indexes
  @@index([userId, status])
  @@index([userId, createdAt])

  // Unique constraint
  @@unique([userId, name])

  @@map("documents")
}

Select Specific Fields

// BAD: Fetches all fields
const documents = await prisma.document.findMany();

// GOOD: Select only needed fields
const documents = await prisma.document.findMany({
  select: {
    id: true,
    name: true,
    status: true,
  },
});

Batch Operations

// BAD: N+1 queries
for (const id of documentIds) {
  await prisma.document.update({
    where: { id },
    data: { status: 'COMPLETED' },
  });
}

// GOOD: Single batch update
await prisma.document.updateMany({
  where: { id: { in: documentIds } },
  data: { status: 'COMPLETED' },
});

Connection Pooling

// quikadmin/src/utils/prisma.ts
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient({
  datasources: {
    db: {
      url: process.env.DATABASE_URL,
    },
  },
  // Connection pool settings
  log: process.env.NODE_ENV === 'development' ? ['query', 'error'] : ['error'],
});

// Graceful shutdown
async function shutdown() {
  await prisma.$disconnect();
  process.exit(0);
}

process.on('SIGINT', shutdown);
process.on('SIGTERM', shutdown);

export default prisma;

Testing with Prisma

Mock Prisma Client

import { PrismaClient } from '@prisma/client';
import { mockDeep, mockReset, DeepMockProxy } from 'jest-mock-extended';

export const prismaMock = mockDeep<PrismaClient>() as unknown as DeepMockProxy<PrismaClient>;

beforeEach(() => {
  mockReset(prismaMock);
});

// In tests
prismaMock.document.findUnique.mockResolvedValue({
  id: 'doc-1',
  name: 'Test Doc',
});

Test Database Setup

// quikadmin/src/test/setup.ts
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient({
  datasources: {
    db: {
      url: process.env.TEST_DATABASE_URL,
    },
  },
});

beforeAll(async () => {
  // Run migrations
  await prisma.$executeRaw`
    CREATE SCHEMA IF NOT EXISTS test;
  `;
});

afterAll(async () => {
  await prisma.$disconnect();
});

export default prisma;

Best Practices

  1. Use transactions - For multi-step operations
  2. Index foreign keys - Always add @@index on foreign keys
  3. Soft delete - Add deletedAt for audit trails
  4. Timestamps - Always include createdAt and updatedAt
  5. Cascade deletes - Use onDelete: Cascade for dependent data
  6. Select specific fields - Avoid fetching unnecessary data
  7. Batch operations - Use updateMany/createMany when possible
  8. Connection pooling - Configure appropriate pool size
  9. Migration naming - Use descriptive migration names
  10. Review generated SQL - Always check migration SQL

References

Repository

Intellifill
Intellifill
Author
Intellifill/IntelliFill/.claude/skills/prisma-database
1
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0
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Updated15h ago
Added1w ago

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