Skip to main content

mmar-pyhr

Pydantic-HTTP-RPC - A lightweight RPC framework based on HTTP + FastAPI with Pydantic validation.

Overview

mmar-pyhr provides a simple RPC-style interface for service-to-service communication over HTTP, similar to mmar-ptag but using HTTP instead of gRPC. It was created to address Kubernetes compatibility issues with gRPC while maintaining the same developer-friendly interface.

Features

  • Type-safe RPC using Pydantic for validation
  • HTTP/JSON transport (Kubernetes-friendly, no service mesh required)
  • Interface-based design using Python classes
  • Built-in tracing with trace_id support via HTTP headers
  • Health check endpoints for Kubernetes pod lifecycle management
  • Smart address handling (port numbers, localhost, full URLs)
  • Sync/async support for service methods

Installation

uv pip install mmar-pyhr

Quick Start

Server

from mmar_pyhr import PyhrServerConfig, deploy_pyhr_server


class UserService:
    def get_user(self, *, user_id: int, trace_id: str = "") -> dict:
        return {"id": user_id, "name": "John Doe"}

    def create_user(self, *, name: str, email: str, trace_id: str = "") -> dict:
        return {"id": 123, "name": name, "email": email}


if __name__ == "__main__":
    config = PyhrServerConfig(port=8000, host="0.0.0.0")
    deploy_pyhr_server(
        config_server=config,
        service=UserService()
    )

Client

from mmar_pyhr import pyhr_client


class UserServiceI:
    def get_user(self, *, user_id: int, trace_id: str = "") -> dict:
        raise NotImplementedError

    def create_user(self, *, name: str, email: str, trace_id: str = "") -> dict:
        raise NotImplementedError


# Create client
client = pyhr_client(UserServiceI, "localhost:8000")

# Make requests
user = client.get_user(user_id=42)
new_user = client.create_user(name="Alice", email="alice@example.com")

# With trace_id
user = client.get_user(user_id=42, trace_id="req-123")

Address Formats

The client accepts various address formats:

pyhr_client(Service, 9494)                      # → http://localhost:9494
pyhr_client(Service, ":9494")                    # → http://localhost:9494
pyhr_client(Service, "localhost:9494")           # → http://localhost:9494
pyhr_client(Service, "http://localhost:9494")    # → http://localhost:9494
pyhr_client(Service, "https://api.example.com")  # → https://api.example.com

API Routes

The server automatically creates the following routes:

RPC Endpoints

POST /api/{method_name}  → service.method_name(**kwargs)

Health Checks

GET  /health_check        → {"status": "ok"}
GET  /health/liveness     → {"status": "alive"}
GET  /health/readiness    → {"status": "ready"}

Tracing

Trace IDs are automatically propagated via the X-Trace-ID HTTP header:

# Client
client.get_user(user_id=42, trace_id="req-123")

# Server automatically receives trace_id in context
# and can use it for logging

Transport Abstraction

mmar-pyhr integrates with the mmar-mimpl transport registry:

from mmar_mimpl import get_transport

# Uses MMAR_TRANSPORT environment variable
transport = get_transport()  # "pyhr" or "mmar_pyhr"

# Create client
client = transport.make_client(UserServiceI, address="localhost:8000")

# Deploy server
transport.deploy_server(
    service=UserService(),
    config=None,
    config_server=PyhrServerConfig(port=8000)
)

Set the transport via environment variable:

export MMAR_TRANSPORT=pyhr
# or
export MMAR_TRANSPORT=mmar_pyhr

Configuration

Client Configuration

from mmar_pyhr import PyhrTransportConfig

config = PyhrTransportConfig(
    timeout=30.0,        # Request timeout in seconds
    retry_attempts=3,    # Number of retry attempts
)

Server Configuration

from mmar_pyhr import PyhrServerConfig

config = PyhrServerConfig(
    host="0.0.0.0",      # Bind host
    port=8000,           # Bind port
    max_workers=1,       # Number of worker processes
    log_level="info",    # Logging level
)

Comparison with mmar-ptag

Feature mmar-ptag (gRPC) mmar-pyhr (HTTP)
Transport gRPC/HTTP2 HTTP/JSON
Serialization JSON over Protobuf Pure JSON
Kubernetes Requires service mesh Native support
Debugging Requires grpcurl Standard curl/httpie
Health checks Custom implementation Built-in HTTP endpoints
Load balancing Connection-level (needs mesh) Request-level (native K8s)

Development

# Run tests
uv run pytest

# Build package
uv build

License

MIT

See Also

Metadata

Release files for mmar-pyhr 0.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mmar-pyhr 0.0.10
File Size Uploaded
mmar_pyhr-0.0.10.tar.gz 9.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mmar-pyhr 0.0.10
File Interpreter ABI Platform
mmar_pyhr-0.0.10-py3-none-any.whl Python 3 none any Details

Total release size: 21.4 kB

Release files / mmar_pyhr-0.0.10.tar.gz

Download URL mmar_pyhr-0.0.10.tar.gz
Size 9.5 kB
Tags Source
SHA-256 checksum
How to use checksums
91e67b3ec27ed5c9a8c74190624b8fab4de69d995f4813eddbb57276fc274cd3
BLAKE2b-256 checksum
How to use checksums
3d211062a966bb589e5c3a9e42666a40d2aadbe293fef19726f1b0bc01154f4c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.31

Release files / mmar_pyhr-0.0.10-py3-none-any.whl

Download URL mmar_pyhr-0.0.10-py3-none-any.whl
Size 11.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
90af5df9d62b2c71ab962d15a45f37cd617e37975e188ae9ac8d149ec833d114
BLAKE2b-256 checksum
How to use checksums
1ede616b84851169053d6d9bac5353d133c8c1529ba73f8bbc8a91ea62a17e76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.31

Release history Release notifications | RSS feed

0.0.11

2 release files

This release

0.0.10 This release

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page