iris-devtester 1.11.1

Battle-tested InterSystems IRIS infrastructure utilities for Python development

IRIS DevTester

Battle-tested InterSystems IRIS infrastructure utilities for Python development

What is This?

IRIS DevTester is a comprehensive Python package that provides automatic, reliable, production-tested infrastructure for InterSystems IRIS development. It handles connectivity, container lifecycles, and test data management, codifying years of experience into a reusable toolkit.

Problems It Solves

• Auto-Remediation: Fixes "Password change required" and expired accounts automatically
• Port Management: Eliminates conflicts when running tests in parallel
• Isolation: Ensures every test gets a clean, isolated database instance
• Performance: DBAPI-first connection pooling is 3x faster than traditional JDBC
• Data Refresh: High-speed GOF fixture loading (10-100x faster than SQL inserts)

Quick Start

1. Install

pip install iris-devtester[all]

2. Start a Container

iris-devtester container up

3. Write and Run a Test

from iris_devtester.containers import IRISContainer

def test_connection():
    with IRISContainer.community() as iris:
        conn = iris.get_connection()
        cursor = conn.cursor()
        cursor.execute("SELECT 1")
        assert cursor.fetchone()[0] == 1

Container Editions

Three canonical container editions are available:

Edition	Size	Use Case	Image
Community	~972MB	Development, testing	intersystemsdc/iris-community
Enterprise	~1GB+	Production testing	containers.intersystems.com/intersystems/iris
Light	~580MB	CI/CD pipelines	caretdev/iris-community-light

Python API

from iris_devtester.containers import IRISContainer

# Community Edition (auto-detects ARM64 vs x86)
with IRISContainer.community() as iris:
    conn = iris.get_connection()

# Light Edition (85% smaller, for CI/CD)
with IRISContainer.light() as iris:
    conn = iris.get_connection()

# Enterprise Edition (requires license)
with IRISContainer.enterprise(license_key="/path/to/iris.key") as iris:
    conn = iris.get_connection()

# Specify version
with IRISContainer.community(version="2025.1") as iris:
    conn = iris.get_connection()

CLI Usage

# Community (default)
iris-devtester container up

# Light edition for CI/CD
iris-devtester container up --edition light

# Enterprise edition with license
iris-devtester container up --edition enterprise --license /path/to/iris.key

# List running IRIS containers
iris-devtester container list

Light Edition Details

The Light edition removes components unnecessary for SQL-only workloads:

• Removed: Interoperability/Ensemble, Management Portal, DeepSee/BI, CSP/REST
• Kept: SQL engine, DBAPI, JDBC, ODBC, SQLAlchemy-IRIS support

Perfect for microservices, automated testing, and Python/SQL pipelines.

Builder Methods

# Set a custom container name (for debugging, logs, multiple containers)
iris = IRISContainer.community().with_name("my-test-db")

# Set credentials
iris = IRISContainer.community().with_credentials("_SYSTEM", "MyPassword")

# Pre-configure password (set via IRIS_PASSWORD env var at startup)
iris = IRISContainer.community().with_preconfigured_password("MyPassword")

# Chain multiple options
with IRISContainer.community() \
    .with_name("integration-test-db") \
    .with_credentials("_SYSTEM", "TestPass123") as iris:
    conn = iris.get_connection()

Constructor Parameters

IRISContainer(
    image="intersystemsdc/iris-community:latest",  # Docker image
    username="_SYSTEM",                             # Default username
    password="SYS",                                 # Default password
    namespace="USER",                               # Default namespace
    name="my-container",                            # Container name (alternative to with_name)
)

Key Features

• 🔐 Automatic Password Management: Remediates security flags using official system APIs.
• 🐳 Container Lifecycle: CLI and Python API for IRIS container management (up, start, stop).
• 📦 DAT Fixture Management: Create and load reproducible test fixtures in seconds.
• ⚡ DBAPI-First Performance: Automatically selects the fastest available driver.
• 📊 Resource Monitoring: Resource-aware performance tracking.

AI-Assisted Development

This project is optimized for AI coding assistants:

• Agent Skill Manifest - Hierarchical guidance for Claude, Cursor, and Copilot.
• AGENTS.md - Common build and test commands.

Documentation

• Getting Started
• Troubleshooting Guide
• Examples
• Codified Learnings

License

MIT License - See LICENSE