opsmanager 0.1.0

Python client library for MongoDB Ops Manager API

python-mongodb-ops-manager

Python client library for MongoDB Ops Manager API

Status

Beta - Core functionality implemented and tested against live Ops Manager

Overview

A production-quality Python client library for the MongoDB Ops Manager API, designed to enable automated health checks, metrics collection, and fleet management for MongoDB deployments.

Features

• Production-ready - Built-in rate limiting, error handling, retry logic with exponential backoff
• Type-safe - Full type hints throughout with dataclass models
• Pythonic - Clean, idiomatic Python API design
• Safe by default - Conservative rate limiting to protect production Ops Manager instances
• Tested - Validated against live Ops Manager and cross-checked with mongocli (Go SDK)

Installation

pip install opsmanager

Or install from source:

git clone https://github.com/fsnow/python-mongodb-ops-manager.git
cd python-mongodb-ops-manager
pip install -e .

Quick Start

from opsmanager import OpsManagerClient

# Create client
client = OpsManagerClient(
    base_url="https://ops-manager.example.com",
    public_key="your-public-key",
    private_key="your-private-key",
)

# List all projects
projects = client.projects.list()
for project in projects:
    print(f"Project: {project.name} ({project.id})")

# Get hosts in a project
hosts = client.deployments.list_hosts(project_id="your-project-id")
for host in hosts:
    print(f"Host: {host.hostname}:{host.port} - {host.replica_state_name}")

# Get metrics for a host (last 24 hours, 1-minute granularity)
metrics = client.measurements.host(
    project_id="your-project-id",
    host_id="host-id",
    granularity="PT1M",
    period="P1D",
    metrics=["OPCOUNTER_QUERY", "OPCOUNTER_INSERT", "CONNECTIONS"],
)

# Get Performance Advisor suggestions
suggestions = client.performance_advisor.get_suggested_indexes(
    project_id="your-project-id",
    host_id="hostname:27017",
    duration=86400000,  # 24 hours in milliseconds
)

# Clean up
client.close()

Using as Context Manager

with OpsManagerClient(
    base_url="https://ops-manager.example.com",
    public_key="your-public-key",
    private_key="your-private-key",
) as client:
    projects = client.projects.list()

API Coverage

Currently Implemented

Service	Description
organizations	List organizations, get org details, list projects in org
projects	List projects, get project by ID or name
clusters	List clusters, get cluster details
deployments	List hosts, databases, disks; get by ID or name
measurements	Host, database, and disk metrics with time-series data
performance_advisor	Namespaces, slow queries, suggested indexes
alerts	List alerts, acknowledge alerts

Configuration Options

client = OpsManagerClient(
    base_url="https://ops-manager.example.com",
    public_key="your-public-key",
    private_key="your-private-key",
    timeout=30.0,           # Request timeout in seconds
    rate_limit=2.0,         # Max requests per second (conservative default)
    retry_count=3,          # Number of retries for failed requests
    retry_backoff=1.0,      # Base backoff time between retries
    verify_ssl=True,        # Verify SSL certificates
)

Rate Limiting

Rate limiting is built-in and enabled by default to protect production Ops Manager instances. The default is 2 requests per second, which is conservative but safe.

# Adjust rate limit if needed (be careful with production systems!)
client.set_rate_limit(5.0)  # 5 requests per second

Pagination

All list methods support pagination automatically:

# Fetch all results (handles pagination internally)
all_hosts = client.deployments.list_hosts(project_id="abc123")

# Or iterate with automatic pagination
for host in client.deployments.list_hosts_iter(project_id="abc123"):
    print(host.hostname)

Return Types

All methods support returning either typed objects or raw dictionaries:

# Return typed objects (default)
hosts = client.deployments.list_hosts(project_id="abc123", as_obj=True)
print(hosts[0].hostname)  # IDE autocomplete works

# Return raw dictionaries
hosts = client.deployments.list_hosts(project_id="abc123", as_obj=False)
print(hosts[0]["hostname"])

Testing

Live Integration Tests

Run the integration test suite against a live Ops Manager instance:

export OM_BASE_URL="http://ops-manager.example.com:8081"
export OM_PUBLIC_KEY="your-public-key"
export OM_PRIVATE_KEY="your-private-key"

python tests/test_live.py --verbose

Validation Against mongocli

Compare output against the official MongoDB CLI (uses the Go SDK):

export OM_ORG_ID="your-org-id"
export OM_PROJECT_ID="your-project-id"

python tests/validate_against_mongocli.py

Design Principles

This library is modeled after the official MongoDB Go SDK with Pythonic adaptations:

1. Service-oriented architecture - Logical grouping of API endpoints
2. Explicit over implicit - Project ID passed per-call, not stored globally
3. Safe defaults - Rate limiting and SSL verification enabled by default
4. Flexible output - Choose between typed objects or raw dictionaries

Use Cases

• Automated health check reporting for large MongoDB fleets
• Metrics collection and statistical analysis
• Performance advisor recommendations aggregation
• Cluster topology documentation
• Operational automation and scripting

Inspiration

• Go SDK: go-client-mongodb-ops-manager - Official MongoDB Go client
• Python: atlasapi - Community Atlas API library

Requirements

• Python 3.9+
• requests library

License

Apache License 2.0 - See LICENSE for details.

Contributing

Contributions welcome! Please open an issue or pull request.

Disclaimer

This is an independent project and is not officially affiliated with or endorsed by MongoDB, Inc.