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policyengine-api-v2

PolicyEngine API v2 - Next-generation microservices architecture with monorepo structure

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SKILL.md

PolicyEngine API v2

The next-generation PolicyEngine API is a monorepo containing multiple microservices built with modern Python tooling.

For Users

What is API v2?

API v2 is the next generation of the PolicyEngine API, currently in active development. When complete, it will replace the current Flask API with a more scalable, maintainable microservices architecture.

Status: 🚧 Active development (not yet in production)

Key improvements over v1:

  • Microservices architecture for better scalability
  • Modern Python tooling (Python 3.13+, uv package manager)
  • Docker-based development and deployment
  • Auto-generated OpenAPI specs and clients
  • Supabase for database management

For Analysts

When to Use v2

Currently, analysts should continue using the v1 API at https://api.policyengine.org.

API v2 is not yet ready for production use. Check the repository README for the latest status.

For Contributors

Repository

Location: PolicyEngine/policyengine-api-v2

Clone:

bash
git clone https://github.com/PolicyEngine/policyengine-api-v2
cd policyengine-api-v2

Architecture Overview

API v2 is a monorepo containing multiple microservices:

To see current structure:

bash
tree -L 2 .

# Expected structure:
# ├── api-full/        - Main API (port 8081)
# ├── api-simulation/  - Economic simulation (port 8082)
# ├── api-tagger/      - Deployment management (port 8083)
# ├── docker-compose.yml
# └── shared/          - Shared utilities

Microservices

1. api-full (port 8081)

  • Main API service
  • Household calculations
  • Policy management
  • Most endpoints from v1

2. api-simulation (port 8082)

  • Economic simulation engine
  • Population-wide impact calculations
  • Resource-intensive operations

3. api-tagger (port 8083)

  • Deployment management
  • Version tagging
  • Release coordination

Technology Stack

To see current dependencies:

bash
# Check pyproject.toml in each service
cat api-full/pyproject.toml
cat api-simulation/pyproject.toml
cat api-tagger/pyproject.toml

Key technologies:

  • Python 3.13+ - Latest Python version
  • uv - Fast Python package manager
  • Docker + Docker Compose - Local development and deployment
  • Supabase - PostgreSQL database with auth
  • OpenAPI - API specification generation
  • FastAPI or Flask - (check current implementation)

Development Setup

To start all services locally:

bash
# See current docker-compose setup
cat docker-compose.yml

# Start services
docker-compose up

# Services should be available at:
# - http://localhost:8081 (api-full)
# - http://localhost:8082 (api-simulation)
# - http://localhost:8083 (api-tagger)

Alternative: Run individual service:

bash
cd api-full
uv pip install -e .
python main.py  # or whatever the entry point is

Package Management with uv

API v2 uses uv instead of pip for faster dependency management:

To see current uv usage:

bash
# Check if uv is used
cat pyproject.toml | grep -A 5 "tool.uv"

# Or check for uv.lock files
find . -name "uv.lock"

Common uv commands:

bash
# Install dependencies
uv pip install -e .

# Add a dependency
uv add package-name

# Sync dependencies
uv sync

Supabase Integration

To see current Supabase setup:

bash
# Check for Supabase configuration
cat .env.example | grep SUPABASE
grep -r "supabase" . --include="*.py" | head -10

# Supabase client initialization
grep -r "create_client" . --include="*.py"

Common patterns:

python
# Example (check actual implementation)
from supabase import create_client

supabase = create_client(supabase_url, supabase_key)

# Query
result = supabase.table('policies').select('*').execute()

# Insert
supabase.table('policies').insert({'data': policy}).execute()

Design Tokens Integration

API v2 may integrate with design tokens from policyengine-app-v2:

To check design token usage:

bash
# Look for design token imports
grep -r "design.*token\|designTokens" . --include="*.py"
grep -r "@policyengine/design" package.json

# Check if tokens are in dependencies
cat package.json | grep -A 5 "dependencies"

If using npm design tokens:

bash
# Design tokens from app-v2
bun install @policyengine/design-tokens

OpenAPI Specification

To see current API spec generation:

bash
# Look for OpenAPI/Swagger setup
grep -r "openapi\|swagger" . --include="*.py"

# Check for spec files
find . -name "openapi*.json" -o -name "openapi*.yaml"

# If using FastAPI, specs auto-generated at /docs

Testing

To see current test setup:

bash
ls -la tests/
cat pytest.ini  # or pyproject.toml for pytest config

Run tests:

bash
# All services
pytest

# Specific service
cd api-full && pytest

# With docker-compose
docker-compose run api-full pytest

Migration from v1

Key architectural differences:

Aspect v1 (Flask monolith) v2 (Microservices)
Structure Single Flask app Multiple services
Database Redis + Cloud SQL Supabase (PostgreSQL)
Deployment Google App Engine Docker containers
Package manager pip uv
Python version 3.9+ 3.13+

To understand migration patterns:

bash
# Compare endpoint implementations
# v1: policyengine-api/policyengine_api/endpoints/
# v2: api-full/endpoints/ (or similar)

# See what's been ported
git log --grep="migrate\|port" --oneline

Common Development Tasks

Task 1: Add New Endpoint to api-full

  1. Find current endpoint pattern:

    bash
    # Look at existing endpoints
    ls api-full/endpoints/  # or api-full/routes/
    cat api-full/endpoints/example.py
    
  2. Follow the pattern (likely FastAPI or Flask)

  3. Update OpenAPI spec (may be auto-generated)

  4. Add tests:

    bash
    cat tests/test_endpoints.py
    

Task 2: Work with Supabase

bash
# See current database schema
cat supabase/migrations/*.sql  # if using migrations

# Test database locally
docker-compose up supabase  # if in docker-compose

Task 3: Use Design Tokens

bash
# Check if design tokens are integrated
grep -r "design.*token" .

# If using from app-v2, import them:
# (Actual implementation depends on current setup)

Environment Variables

To see required environment variables:

bash
cat .env.example

# Common variables:
# - SUPABASE_URL
# - SUPABASE_KEY
# - DATABASE_URL
# - API_PORT (8081, 8082, 8083)

Monorepo Best Practices

To see current monorepo structure:

bash
# List all services
ls -d */

# Check for shared code
ls shared/ common/ lib/  # (if exists)

# See inter-service dependencies
grep -r "../api-" pyproject.toml

Pattern:

  • Each service should be independently deployable
  • Shared code goes in shared/ or similar
  • Each service has its own tests
  • Docker Compose for local multi-service development

Related Skills

  • policyengine-api-skill - v1 API patterns (for migration reference)
  • policyengine-core-skill - Understanding the simulation engine
  • policyengine-us-skill - Country model integration
  • policyengine-design-skill - Design tokens and branding
  • policyengine-standards-skill - Code quality standards

Resources

Repository: https://github.com/PolicyEngine/policyengine-api-v2

Related:

Development Status

⚠️ Important: API v2 is in active development. Always check the repository README for:

  • Current status and roadmap
  • Breaking changes
  • Migration timeline from v1
  • Deployment instructions

To see current status:

bash
cat README.md
git log -10 --oneline

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