๐Ÿš€ fh-saas

Production-ready multi-tenant SaaS toolkit for FastHTML applications.

โšก Quick Start

1. Install

pip install fh-saas

2. Configure Environment

# .env file
DB_TYPE=POSTGRESQL
DB_USER=postgres
DB_PASS=your_password
DB_HOST=localhost
DB_NAME=app_host

# Optional integrations
STRIPE_SECRET_KEY=sk_...
RESEND_API_KEY=re_...
GOOGLE_CLIENT_ID=...
GOOGLE_CLIENT_SECRET=...

3. Initialize Your App

from fh_saas.db_host import HostDatabase, GlobalUser, TenantCatalog, Membership, gen_id, timestamp
from fh_saas.db_tenant import get_or_create_tenant_db
from fh_saas.utils_db import register_tables, create_indexes
from fh_saas.utils_log import configure_logging

# Configure logging (once at startup)
configure_logging()

# Connect to host database
host_db = HostDatabase.from_env()

# Create a new user
user = GlobalUser(
    id=gen_id(),
    email="founder@startup.com",
    oauth_id="google_abc123",
    created_at=timestamp()
)
host_db.global_users.insert(user)

# Create a tenant for their organization
tenant = TenantCatalog(
    id=gen_id(),
    name="Acme Corp",
    db_url="postgresql://...",
    created_at=timestamp()
)
host_db.tenant_catalogs.insert(tenant)

# Link user to tenant as owner
membership = Membership(
    id=gen_id(),
    user_id=user.id,
    tenant_id=tenant.id,
    profile_id=gen_id(),
    role="owner",
    created_at=timestamp()
)
host_db.memberships.insert(membership)
host_db.commit()

4. Work with Tenant Data

# Get tenant's isolated database
tenant_db = get_or_create_tenant_db(tenant.id, tenant.name)

# Define your app's data models
class Project:
    id: str
    name: str
    status: str = "active"
    created_at: str

class Task:
    id: str
    project_id: str
    title: str
    completed: bool = False

# Register tables (creates if not exist)
tables = register_tables(tenant_db, [
    (Project, "projects", "id"),
    (Task, "tasks", "id"),
])

# Add indexes for performance
create_indexes(tenant_db, [
    ("tasks", ["project_id"], False, None),
    ("tasks", ["completed"], False, None),
])

# Use the tables
projects = tables["projects"]
projects.insert(Project(id=gen_id(), name="Launch MVP", created_at=timestamp()))
tenant_db.conn.commit()

๐Ÿ“š Documentation Guide

Section What You'll Learn
๐Ÿ“ฆ Core
Multi-Tenant Setup Host database, user management, tenant registry
Tenant Databases Isolated databases per tenant, connection pooling
Table Management Create tables & indexes from dataclasses
๐Ÿ”Œ Integrations
HTTP Client REST APIs with retries, rate limiting, auth
GraphQL Client Streaming pagination for large datasets
Webhooks Receive & verify external webhooks
๐Ÿ’ณ Payments & Migrations
Stripe Payments Subscriptions, trials, access control
DB Migrations Version tracking, rollback support
โš™๏ธ Data Pipeline
Background Tasks Async job execution
Data Transforms JSON โ†’ Polars โ†’ Database pipeline
๐Ÿ› ๏ธ Utilities
SQL Helpers Database type detection, query builders
Logging Configurable logging for all modules
Authentication OAuth flows (Google, GitHub)
Email Sending Transactional emails via Resend
๐Ÿ“ฃ Content
Blog Publishing Markdown blog with frontmatter
SEO & Sitemaps Sitemap generation, meta tags
Workflow Engine Multi-step automation

๐Ÿ› ๏ธ Developer Guide

This project uses nbdev for literate programming. The source of truth is in the nbs/ notebooks.

Development Setup

# Clone and install in dev mode
git clone https://github.com/abhisheksreesaila/fh-saas.git
cd fh-saas
pip install -e .

# Make changes in nbs/ directory, then compile
nbdev_prepare

๐Ÿ“ฆ Installation

# From PyPI (recommended)
pip install fh-saas

# From GitHub (latest)
pip install git+https://github.com/abhisheksreesaila/fh-saas.git

GitHub ยท PyPI ยท Documentation

๐Ÿค– For AI Assistants: Download llms-ctx.txt โ€” Complete API documentation for LLMs


๐Ÿค– AI Assistant Context

For AI coding assistants (GitHub Copilot, Claude, ChatGPT, Cursor, etc.), download the complete API documentation:

๐Ÿ“ฅ Download llms-ctx.txt โ€” Complete fh-saas documentation in LLM-friendly format

How to use:

  1. Download the context file
  2. Add to your AI assistantโ€™s instructions/knowledge base
  3. Get accurate code suggestions for fh-saas APIs

This file contains all module documentation, examples, and API signatures formatted for optimal LLM understanding.


๐Ÿค Contributing

Contributions are welcome! Please check the GitHub repository for issues and discussions.