@launchql/cli
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# LaunchQL CLI
> Build secure, role-aware GraphQL backends powered by PostgreSQL with database-first development
LaunchQL CLI is a comprehensive command-line tool that transforms your PostgreSQL database into a powerful GraphQL API. With automated schema generation, sophisticated migration management, and robust deployment capabilities, you can focus on building great applications instead of boilerplate code.
## ✨ Features
- 🚀 **Database-First Development** - Design your database, get your GraphQL API automatically
- 🔐 **Built-in Security** - Role-based access control and security policies
- 📦 **Module System** - Reusable database modules with dependency management
- 🛠️ **Developer Experience** - Hot-reload development server with GraphiQL explorer
- 🏗️ **Production Ready** - Deployment plans, versioning, and rollback support
## 🚀 Quick Start
### Installation
```bash
npm install -g @launchql/cli
```
### Create Your First Project
```bash
# Initialize a new workspace
lql init workspace
cd my-project
# Create your first module
lql init
# Deploy to your database
lql deploy --createdb
# Start the development server
lql server
```
Visit `http://localhost:5555` to explore your GraphQL API!
## 📖 Core Concepts
### Workspaces and Modules
- **Workspace**: A collection of related database modules
- **Module**: A self-contained database package with migrations, functions, and types
- **Dependencies**: Modules can depend on other modules, creating reusable building blocks
### Database-First Workflow
1. **Design** your database schema using SQL migrations
2. **Deploy** changes with `lql deploy`
3. **Develop** against the auto-generated GraphQL API
4. **Version** and **package** your modules for distribution
## 🛠️ Commands
### Getting Started
#### `lql init`
Initialize a new LaunchQL workspace or module.
```bash
# Create a new workspace
lql init workspace
# Create a new module (run inside workspace)
lql init
# Use templates from GitHub repository (defaults to launchql/pgpm-boilerplates.git)
lql init workspace --repo owner/repo
lql init --repo owner/repo --from-branch develop
# Use templates from custom paths
lql init workspace --template-path ./custom-templates
lql init --template-path ./custom-templates/module
```
**Options:**
- `--repo <repo>` - Template repo (default: `https://github.com/constructive-io/pgpm-boilerplates.git`)
- `--template-path <path>` - Template sub-path (defaults to `workspace`/`module`) or local path override
- `--from-branch <branch>` - Branch/tag when cloning the template repo
Templates are cached for one week under the `pgpm` tool namespace. Run `lql cache clean` if you need to refresh the boilerplates.
### Development
#### `lql server`
Start the GraphQL development server with hot-reload.
```bash
# Start with defaults (port 5555)
lql server
# Custom port and options
lql server --port 8080 --no-postgis
```
#### `lql explorer`
Launch GraphiQL explorer for your API.
```bash
# Launch explorer
lql explorer
# With custom CORS origin
lql explorer --origin http://localhost:3000
```
## 🔄 Updates
The CLI performs a lightweight npm version check at most once per week (skipped in CI or when `PGPM_SKIP_UPDATE_CHECK` is set). Use `lql update` to install the latest release (installs `pgpm` by default; pass `--package @launchql/cli` to target the CLI package).
### Database Operations
#### `lql deploy`
Deploy your database changes and migrations.
```bash
# Deploy to selected database
lql deploy
# Create database if it doesn't exist
lql deploy --createdb
# Deploy specific package to a tag
lql deploy --package mypackage --to @v1.0.0
# Fast deployment without transactions
lql deploy --fast --no-tx
```
#### `lql verify`
Verify your database state matches expected migrations.
```bash
# Verify current state
lql verify
# Verify specific package
lql verify --package mypackage
```
#### `lql revert`
Safely revert database changes.
```bash
# Revert latest changes
lql revert
# Revert to specific tag
lql revert --to @v1.0.0
```
### Migration Management
#### `lql migrate`
Comprehensive migration management.
```bash
# Initialize migration tracking
lql migrate init
# Check migration status
lql migrate status
# List all changes
lql migrate list
# Show change dependencies
lql migrate deps
```
### Module Management
#### `lql install`
Install LaunchQL modules as dependencies.
```bash
# Install single package
lql install @launchql/auth
# Install multiple packages
lql install @launchql/auth @launchql/utils
```
#### `lql extension`
Interactively manage module dependencies.
```bash
lql extension
```
#### `lql tag`
Version your changes with tags.
```bash
# Tag latest change
lql tag v1.0.0
# Tag with comment
lql tag v1.0.0 --comment "Initial release"
# Tag specific change
lql tag v1.1.0 --package mypackage --changeName my-change
```
### Packaging and Distribution
#### `lql plan`
Generate deployment plans for your modules.
```bash
lql plan
```
#### `lql package`
Package your module for distribution.
```bash
# Package with defaults
lql package
# Package without deployment plan
lql package --no-plan
```
### Utilities
#### `lql export`
Export migrations from existing databases.
```bash
lql export
```
#### `lql kill`
Clean up database connections and optionally drop databases.
```bash
# Kill connections and drop databases
lql kill
# Only kill connections
lql kill --no-drop
```
## 💡 Common Workflows
### Starting a New Project
```bash
# 1. Create workspace
mkdir my-app && cd my-app
lql init workspace
# 2. Create your first module
lql init
# 3. Add some SQL migrations to sql/ directory
# 4. Deploy to database
lql deploy --createdb
# 5. Start developing
lql server
```
### Using Custom Templates
You can use custom templates from GitHub repositories or local paths:
```bash
# Initialize workspace with templates from GitHub
lql init workspace --repo owner/repo
# Initialize workspace with templates from local path
lql init workspace --template-path ./my-custom-templates
# Initialize module with custom templates
lql init --template-path ./my-custom-templates
# Use specific branch from GitHub repository
lql init workspace --repo owner/repo --from-branch develop
```
**Template Structure:**
Custom templates should follow the same structure as the default templates:
- For workspace: `boilerplates/workspace/` directory
- For module: `boilerplates/module/` directory
- Or provide direct path to `workspace/` or `module/` directory
### Working with Existing Projects
```bash
# 1. Clone and enter project
git clone <repo> && cd <project>
# 2. Install dependencies
lql install
# 3. Deploy to local database
lql deploy --createdb
# 4. Start development server
lql server
```
### Production Deployment
```bash
# 1. Create deployment plan
lql plan
# 2. Package module
lql package
# 3. Deploy to production
lql deploy --package myapp --to @production
# 4. Verify deployment
lql verify --package myapp
```
### Get Graphql Schema
Fetch and output your GraphQL schema in SDL.
- Option 1 – Programmatic builder (from database schemas):
- Write to file:
- `lql get-graphql-schema --database launchql --schemas myapp,public --out ./schema.graphql`
- Print to stdout:
- `lql get-graphql-schema --database launchql --schemas myapp,public`
- Option 2 – Fetch from running server (via endpoint introspection):
- Write to file:
- `lql get-graphql-schema --endpoint http://localhost:3000/graphql --headerHost meta8.localhost --out ./schema.graphql`
- Print to stdout:
- `lql get-graphql-schema --endpoint http://localhost:3000/graphql --headerHost meta8.localhost`
Options:
- `--database <name>` (Option 1)
- `--schemas <list>` (Option 1; comma-separated)
- `--endpoint <url>` (Option 2)
- `--headerHost <hostname>` (Option 2; optional custom HTTP Host header for vhost-based local setups)
- `--auth <token>` (Option 2; optional; sets Authorization header)
- `--header <name: value>` (Option 2; optional; repeatable; adds request headers, last value wins on duplicates)
- `--out <path>` (optional; if omitted, prints to stdout)
Notes:
- If your local dev server routes by hostname (e.g., `meta8.localhost`), but is reachable at `http://localhost:<port>`, use:
- `lql get-graphql-schema --endpoint http://localhost:3000/graphql --headerHost meta8.localhost`
- You can repeat `--header` to add multiple headers, e.g.: `--header 'X-Mode: fast' --header 'Authorization: Bearer abc123'`
Tip:
- For Option 1, include only the schemas you need (e.g., `myapp,public`) to avoid type naming conflicts when multiple schemas contain similarly named tables.
## ⚙️ Configuration
### Environment Variables
LaunchQL respects standard PostgreSQL environment variables:
```bash
export PGHOST=localhost
export PGPORT=5432
export PGDATABASE=myapp
export PGUSER=postgres
export PGPASSWORD=password
```
## 🆘 Getting Help
### Command Help
```bash
# Global help
lql --help
# Command-specific help
lql deploy --help
lql server -h
```
### Common Options
Most commands support these global options:
- `--help, -h` - Show help information
- `--version, -v` - Show version information
- `--cwd <dir>` - Set working directory
### Codegen
Generate types, operations, and SDK from a schema or endpoint.
```bash
# From SDL file
lql codegen --schema ./schema.graphql --out ./codegen
# From endpoint with Host override
lql codegen --endpoint http://localhost:3000/graphql --headerHost meta8.localhost --out ./codegen
```
Options:
- `--schema <path>` or `--endpoint <url>`
- `--out <dir>` output root (default: `packages/launchql-gen/dist`)
- `--format <gql|ts>` documents format
- `--convention <dashed|underscore|camelcase|camelUpper>` filenames
- `--headerHost <host>` optional HTTP Host header for endpoint requests
- `--auth <token>` Authorization header value (e.g., `Bearer 123`)
- `--header "Name: Value"` repeatable headers
- `--emitTypes <bool>` `--emitOperations <bool>` `--emitSdk <bool>` `--emitReactQuery <bool>`
- `--config ./config.json` Use customized config file
Config file (JSON/YAML):
```bash
# Use a JSON config to override defaults
lql codegen --config ./my-options.json
```
Example `my-options.json`:
```json
{
"input": {
"schema": "./schema.graphql",
"headers": { "Host": "meta8.localhost" }
},
"output": {
"root": "packages/launchql-gen/dist/codegen-config",
"reactQueryFile": "react-query.ts"
},
"documents": {
"format": "gql",
"convention": "dashed",
"excludePatterns": [".*Module$", ".*By.+And.+$"]
},
"features": {
"emitTypes": true,
"emitOperations": true,
"emitSdk": true,
"emitReactQuery": true
},
"reactQuery": {
"fetcher": "graphql-request"
}
}
```
---
## Education and Tutorials
1. 🚀 [Quickstart: Getting Up and Running](https://constructive.io/learn/quickstart)
Get started with modular databases in minutes. Install prerequisites and deploy your first module.
2. 📦 [Modular PostgreSQL Development with Database Packages](https://constructive.io/learn/modular-postgres)
Learn to organize PostgreSQL projects with pgpm workspaces and reusable database modules.
3. ✏️ [Authoring Database Changes](https://constructive.io/learn/authoring-database-changes)
Master the workflow for adding, organizing, and managing database changes with pgpm.
4. 🧪 [End-to-End PostgreSQL Testing with TypeScript](https://constructive.io/learn/e2e-postgres-testing)
Master end-to-end PostgreSQL testing with ephemeral databases, RLS testing, and CI/CD automation.
5. ⚡ [Supabase Testing](https://constructive.io/learn/supabase)
Use TypeScript-first tools to test Supabase projects with realistic RLS, policies, and auth contexts.
6. 💧 [Drizzle ORM Testing](https://constructive.io/learn/drizzle-testing)
Run full-stack tests with Drizzle ORM, including database setup, teardown, and RLS enforcement.
7. 🔧 [Troubleshooting](https://constructive.io/learn/troubleshooting)
Common issues and solutions for pgpm, PostgreSQL, and testing.
## Related Constructive Tooling
### 🧪 Testing
* [pgsql-test](https://github.com/constructive-io/constructive/tree/main/packages/pgsql-test): **📊 Isolated testing environments** with per-test transaction rollbacks—ideal for integration tests, complex migrations, and RLS simulation.
* [supabase-test](https://github.com/constructive-io/constructive/tree/main/packages/supabase-test): **🧪 Supabase-native test harness** preconfigured for the local Supabase stack—per-test rollbacks, JWT/role context helpers, and CI/GitHub Actions ready.
* [graphile-test](https://github.com/constructive-io/constructive/tree/main/packages/graphile-test): **🔐 Authentication mocking** for Graphile-focused test helpers and emulating row-level security contexts.
* [pg-query-context](https://github.com/constructive-io/constructive/tree/main/packages/pg-query-context): **🔒 Session context injection** to add session-local context (e.g., `SET LOCAL`) into queries—ideal for setting `role`, `jwt.claims`, and other session settings.
### 🧠 Parsing & AST
* [pgsql-parser](https://www.npmjs.com/package/pgsql-parser): **🔄 SQL conversion engine** that interprets and converts PostgreSQL syntax.
* [libpg-query-node](https://www.npmjs.com/package/libpg-query): **🌉 Node.js bindings** for `libpg_query`, converting SQL into parse trees.
* [pg-proto-parser](https://www.npmjs.com/package/pg-proto-parser): **📦 Protobuf parser** for parsing PostgreSQL Protocol Buffers definitions to generate TypeScript interfaces, utility functions, and JSON mappings for enums.
* [@pgsql/enums](https://www.npmjs.com/package/@pgsql/enums): **🏷️ TypeScript enums** for PostgreSQL AST for safe and ergonomic parsing logic.
* [@pgsql/types](https://www.npmjs.com/package/@pgsql/types): **📝 Type definitions** for PostgreSQL AST nodes in TypeScript.
* [@pgsql/utils](https://www.npmjs.com/package/@pgsql/utils): **🛠️ AST utilities** for constructing and transforming PostgreSQL syntax trees.
* [pg-ast](https://www.npmjs.com/package/pg-ast): **🔍 Low-level AST tools** and transformations for Postgres query structures.
### 🚀 API & Dev Tools
* [launchql/server](https://github.com/constructive-io/constructive/tree/main/packages/server): **⚡ Express-based API server** powered by PostGraphile to expose a secure, scalable GraphQL API over your Postgres database.
* [launchql/explorer](https://github.com/constructive-io/constructive/tree/main/packages/explorer): **🔎 Visual API explorer** with GraphiQL for browsing across all databases and schemas—useful for debugging, documentation, and API prototyping.
### 🔁 Streaming & Uploads
* [etag-hash](https://github.com/constructive-io/constructive/tree/main/packages/etag-hash): **🏷️ S3-compatible ETags** created by streaming and hashing file uploads in chunks.
* [etag-stream](https://github.com/constructive-io/constructive/tree/main/packages/etag-stream): **🔄 ETag computation** via Node stream transformer during upload or transfer.
* [uuid-hash](https://github.com/constructive-io/constructive/tree/main/packages/uuid-hash): **🆔 Deterministic UUIDs** generated from hashed content, great for deduplication and asset referencing.
* [uuid-stream](https://github.com/constructive-io/constructive/tree/main/packages/uuid-stream): **🌊 Streaming UUID generation** based on piped file content—ideal for upload pipelines.
* [launchql/s3-streamer](https://github.com/constructive-io/constructive/tree/main/packages/s3-streamer): **📤 Direct S3 streaming** for large files with support for metadata injection and content validation.
* [launchql/upload-names](https://github.com/constructive-io/constructive/tree/main/packages/upload-names): **📂 Collision-resistant filenames** utility for structured and unique file names for uploads.
### 🧰 CLI & Codegen
* [pgpm](https://github.com/constructive-io/constructive/tree/main/packages/pgpm): **🖥️ PostgreSQL Package Manager** for modular Postgres development. Works with database workspaces, scaffolding, migrations, seeding, and installing database packages.
* [@launchql/cli](https://github.com/constructive-io/constructive/tree/main/packages/cli): **🖥️ Command-line toolkit** for managing LaunchQL projects—supports database scaffolding, migrations, seeding, code generation, and automation.
* [launchql-gen](https://github.com/constructive-io/constructive/tree/main/packages/launchql-gen): **✨ Auto-generated GraphQL** mutations and queries dynamically built from introspected schema data.
* [@launchql/query-builder](https://github.com/constructive-io/constructive/tree/main/packages/query-builder): **🏗️ SQL constructor** providing a robust TypeScript-based query builder for dynamic generation of `SELECT`, `INSERT`, `UPDATE`, `DELETE`, and stored procedure calls—supports advanced SQL features like `JOIN`, `GROUP BY`, and schema-qualified queries.
* [@launchql/query](https://github.com/constructive-io/constructive/tree/main/packages/query): **🧩 Fluent GraphQL builder** for PostGraphile schemas. ⚡ Schema-aware via introspection, 🧩 composable and ergonomic for building deeply nested queries.
## Credits
**🛠 Built by the [Constructive](https://constructive.io) team — creators of modular Postgres tooling for secure, composable backends. If you like our work, contribute on [GitHub](https://github.com/constructive-io).**
## Disclaimer
AS DESCRIBED IN THE LICENSES, THE SOFTWARE IS PROVIDED "AS IS", AT YOUR OWN RISK, AND WITHOUT WARRANTIES OF ANY KIND.
No developer or entity involved in creating this software will be liable for any claims or damages whatsoever associated with your use, inability to use, or your interaction with other users of the code, including any direct, indirect, incidental, special, exemplary, punitive or consequential damages, or loss of profits, cryptocurrencies, tokens, or anything else of value.