shivad 0.5.1

A modern, async Python framework for distributed systems and microservices.

Shiva Project Documentation

Overview

Shiva is a modern, async Python framework for distributed systems and microservices. It provides a modular architecture for building scalable, event-driven applications, supporting protocols like RMQ, web APIs, metrics, and more. Shiva is built around the concept of dispatchers, protocols, workers, and drivers, enabling flexible orchestration of background tasks, message processing, and service integration.

INSTALLATION

To install Shiva, simply run:

pip install shivad

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Core Concept: Dispatcher → Protocol → Workers + Drivers

• Dispatcher: Orchestrates the flow of messages or tasks. Each dispatcher is responsible for managing a set of workers and is configured to use a specific protocol and connection/driver.
• Protocol: Defines how messages are routed and processed between the dispatcher and its workers. Protocols can implement custom logic for message dispatching, serialization, and routing.
• Workers: Perform the actual business logic, such as processing messages, handling HTTP requests, or collecting metrics. Workers are instantiated and managed by dispatchers.
• Drivers: Abstract the connection to external systems (databases, message brokers, etc.). Each driver implements a standard interface for connecting, preparing, and stopping.

Flow Example:
A dispatcher (e.g., RMQ) receives a message, uses a protocol (e.g., JSON_Routed_BPM) to determine which worker should handle it, and the worker processes the message, possibly using a driver (e.g., Postgres) to interact with a database.

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Project Structure and Main Components

shiva/
  common/         # Core abstractions (base classes, config, CLI, dispatcher logic)
  commands/       # CLI commands (Typer-based)
  dispatchers/    # Dispatcher implementations (RMQ, web, metrics, daemon)
  drivers/        # Drivers for databases, ESB, APIs
  proto/          # Protocols for message routing/handling
  workers/        # Example and real workers (metrics, web, daemon, etc.)
  examples/       # Example workers and usage
  lib/            # Utilities (config loader, tools)
  main.py         # FastAPI app entrypoint
  run.py          # CLI entrypoint
  shiva_cli.py    # CLI loader

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Public Classes, Functions, and Modules

Core Abstractions

BaseDispatcher

• Manages a group of workers, applies a policy for worker instantiation, and handles lifecycle events (prepare, start, stop).
• Configurable via YAML: name, coro, policy, connection, proto, etc.

BaseWorker, BaseDaemon, BaseRmqWorker, BaseMetric

• Base classes for different worker types (generic, daemon, RMQ, metrics).
• Implement prepare, start, stop methods.

BaseDriver

• Abstracts connection to external systems (databases, ESB, APIs).
• Methods: prepare, stop.

BaseProtocol

• Handles message routing and dispatching logic between dispatcher and workers.

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Dispatchers

• RMQ Dispatcher (shiva/dispatchers/rmq.py): Handles RabbitMQ message consumption, manages exchanges/queues, and dispatches messages to workers via protocol.
• Web Dispatcher (shiva/dispatchers/web.py): Integrates FastAPI routers from workers, mounts them to the main app.
• DaemonRoot (shiva/dispatchers/daemon.py): Manages daemon-style workers (background loops).
• MetricsRoot (shiva/dispatchers/metrics.py): Exposes Prometheus metrics endpoints and manages metric workers.

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Protocols

• JSON_UnroutedALL (shiva/proto/rmq_simple.py): Simple protocol that dispatches all messages to all workers.
• RoutedPublisher (shiva/proto/bpm.py): Publishes messages with routing keys and metadata.

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Drivers

• Postgres (shiva/drivers/databases/postgres.py): Asyncpg-based connection pool.
• Redis (shiva/drivers/databases/redis.py): Redis (async) connection pool.
• MongoDB (shiva/drivers/databases/mongodb.py): Motor-based async MongoDB client.
• S3 (shiva/drivers/api/s3_aiobotocore.py): Async S3 client using aiobotocore.

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Example Workers

• RMQ Worker (shiva/examples/workers/benchmark/rmq_bench.py): Benchmarks RMQ message handling.
• Daemon Worker (shiva/examples/workers/mydaemon/daemon_1.py): Simple background loop.
• Web Healthcheck (shiva/examples/workers/web/healthcheck.py): FastAPI endpoints for readiness/liveness.
• Metrics Worker (shiva/workers/metrics/some_metrics.py): Prometheus metrics example.

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Usage Examples

RMQ Worker Example

from shiva.common.base import BaseRmqWorker
from shiva.common.rmq_routing import Router

router = Router()

class RmqBench(BaseRmqWorker):
    name = 'shiva_benchmark'
    dispatcher = 'shiva_bench'

    async def prepare(self):
        pass

    @router.route('shiva.bench')
    async def bench(self, message, raw=None):
        # Process message
        pass

Simple Daemon Example

from shiva.common.base import BaseDaemon

class MyDaemon(BaseDaemon):
    name = 'first_shiva_daemon'

    async def start(self):
        self.running = True
        while self.running:
            # Do work
            await asyncio.sleep(5)

API (Web) Worker Example

from fastapi import APIRouter
from shiva.common.base import BaseWorker
from shiva.dispatchers.web import Web

router = APIRouter(prefix='')

class Healthcheck(BaseWorker):
    name = 'healthcheck'
    dispatcher = Web

    @router.get("/readiness")
    def read():
        return {"status": "ok"}

Metrics Example

from prometheus_client import Counter, Gauge
from shiva.common.base import BaseMetric

class MyMetric(BaseMetric):
    name = 'my_metric'
    dispatcher = 'metrics_main'

    async def start(self):
        g = Gauge('my_gauge_metric', 'Some metric')
        c = Counter('my_counter', 'test_counter')
        self.running = True
        while self.running:
            g.inc()
            c.inc(1.2)
            await asyncio.sleep(5)

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YAML Configuration Reference

Top-Level Structure

app_name: shiva_test

common:
  uvloop: True
  coro_num: 1
  modules_path: './modules'

logging:
  level: DEBUG
  sentry:
    dsn: <sentry_dsn>
    environment: 'LOCAL'

connections:
  postgres:
    driver: postgres
    config:
      dsn: postgresql://postgres:@127.0.0.1:5432/mydb
      pool_min: 1
      pool_max: 50
      max_inactive_connection_lifetime: 300
      max_queries: 20
  redis:
    driver: redis
    config:
      dsn: redis://127.0.0.1:6379/0
      minsize: 1
      maxsize: 1
  rmq_default:
    driver: rmq
    config:
      dsn: amqp://guest:guest@127.0.0.1:5672/myvenv

dispatchers:
  web:
    name: web
    dispatcher: dispatcher_web
    enabled: true
  daemon_root_main:
    name: daemon_root_main
    dispatcher: daemon_root
    enabled: true
    policy: CONFIG
    coro: 1
    config:
      echo: I'm alive!
  shiva_bench:
    name: shiva_bench
    dispatcher: rmq
    connection: rmq_default
    proto: JSON_Routed_BPM
    enabled: false
    coro: 1
    config:
      exchanges:
        ESB:
          config:
            type: topic
            durable: true
          queues:
            shiva_benchmark:
              coro: 5
              config:
                prefetch: 1
                arguments:
                  auto_delete: false
                  durable: true
                additional:
                  max-length: 1000
              bindings:
                - shiva.bench

workers:
  waiter_daemon:
    name: waiter1
    coro: 1
    enabled: true
    worker: waiter_daemon
    dispatcher: daemon_root_main
    config:
      echo: Hello!
    depends:
      databases:
        - postgres
      esb:
        - rmq

Key Parameters

• scopes (optional): Load additional modules from installed packages
• common: General settings (uvloop, coroutine count, modules path)
• logging: Log level, Sentry integration
• connections: Database/message broker connections (driver, DSN, pool settings)
• dispatchers: Dispatcher instances (type, connection, protocol, policy, coroutines, config)
• workers: Worker instances (name, coroutines, enabled, worker class, dispatcher, config, dependencies)

Extending Shiva with Package Scopes

You can extend Shiva by loading drivers, workers, dispatchers, and protocols from installed packages. This allows you to create reusable extensions.

Loading Order: shiva (built-in) → user (local) → packages (installed)

Example:

scopes:
  packages:
    - my_shiva_extension
    - another_extension

For a package my_shiva_extension, Shiva will attempt to load:

• my_shiva_extension.drivers
• my_shiva_extension.workers
• my_shiva_extension.dispatchers
• my_shiva_extension.proto
• my_shiva_extension.data_types

Package Structure Example:

my_shiva_extension/
  drivers/
    databases/
      my_custom_db.py
  workers/
    my_worker.py
  dispatchers/
    my_dispatcher.py

Modules are deduplicated by file path - first found wins. Missing scopes are silently skipped.

Example: RMQ Dispatcher Section

shiva_bench:
  name: shiva_bench
  dispatcher: rmq
  connection: rmq_default
  proto: JSON_Routed_BPM
  enabled: false
  coro: 1
  config:
    exchanges:
      ESB:
        config:
          type: topic
          durable: true
        queues:
          shiva_benchmark:
            coro: 5
            config:
              prefetch: 1
              arguments:
                auto_delete: false
                durable: true
              additional:
                max-length: 1000
            bindings:
              - shiva.bench

Example: Worker Section

waiter_daemon:
  name: waiter1
  coro: 1
  enabled: true
  worker: waiter_daemon
  dispatcher: daemon_root_main
  config:
    echo: Hello!
  depends:
    databases:
      - postgres
    esb:
      - rmq

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Architecture Notes

• Modular: All major components (dispatchers, drivers, workers, protocols) are pluggable and discoverable via scopes.
• Async: Built on asyncio, supports uvloop for performance.
• Config-Driven: Most behavior is controlled via YAML configuration.
• CLI: Typer-based CLI for project management and running daemons.
• Web: FastAPI for web endpoints, Prometheus for metrics.

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Dependencies

• Core: FastAPI, Uvicorn, aiomisc, aio-pika, redis, asyncpg, PyYAML, orjson, loguru, sentry-sdk, flatdict, typer, art, marshmallow, motor, aiobotocore, prometheus-client, mako, starlette, fastapi-utils.
• Dev: ipython (optional).

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Conventions

• Naming: Dispatcher, worker, and driver names must match between code and YAML.
• Workers: Should inherit from the appropriate base class and register themselves with a dispatcher.
• Protocols: Should inherit from BaseProtocol and implement dispatch.
• Drivers: Should inherit from BaseDriver and implement prepare and stop.

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CLI Tools for Shiva

• Entry Point: shiva (see pyproject.toml and shiva_cli.py)
• Adding Commands: Use Typer in shiva/commands/ modules.

Example CLI Command

import typer

app = typer.Typer()

@app.command()
def hello(name: str):
    """Say hello."""
    print(f"Hello, {name}!")

if __name__ == "__main__":
    app()

• Add your command module to shiva/commands/ and ensure it is loaded via CommandHelper.

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Running and Testing

• Run the main app:

  python shiva/run.py
  

  or via CLI:

  shiva daemon run
  

• Configuration:
  Set SHIVA_CONFIG env variable or use ./config.yml.

• Tests:
  There are example test commands in shiva/commands/test.py.
  To run:

  python -m shiva.commands.test test
  

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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End of Documentation