wpipe-steps 0.23.0

A professional collection of pre-built steps and states for the WPipe orchestration engine. Lightweight and modular.

🧱 WPipe Steps

A professional collection of pre-built, production-ready steps and states for the WPipe orchestration engine.

WPipe Steps provides a comprehensive library of modular components ("Steps") that can be easily integrated into your WPipe pipelines. Instead of reinventing the wheel for common tasks like API calls, database queries, or notifications, simply import and use a pre-built step.

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📂 Professional Structure

The library is organized into logical "Packs" based on functionality:

Pack	Namespace	Description
🌐 Connectivity	wpipe_steps.connectivity	HttpRequestStep: REST client. GraphQLQueryStep: GraphQL executor. WebhookTriggerStep: Webhook notifier. SftpTransferStep: SFTP transfer. RSSParserStep: RSS parser. OAuth2AuthStep: OAuth2 manager.
📊 Database	wpipe_steps.database	MySQLQueryStep: MySQL SQL executor. RedisCacheStep: Redis manager. MongoInsertStep: MongoDB document inserter. SQLiteAuditStep: Local SQLite audit logger. ClickHouseBulkStep: ClickHouse massive data inserter. CassandraWriteStep: Cassandra data writer.
🛡️ Security	wpipe_steps.security	Fail2BanCheckStep: IP ban status verifier. NmapScanStep: Port scanning discovery. ShodanSearchStep: Network intelligence search. HashGeneratorStep: Hash generator. VaultSecretsStep: Vault secrets retriever. WafFilterStep: SQLi/XSS input filter.
☁️ Infrastructure	wpipe_steps.infrastructure	S3BucketUploadStep: AWS S3 file uploader.
📧 Communication	wpipe_steps.communication	Telegram, Slack, Discord, SendGrid, Twilio.
📁 Data	wpipe_steps.data	CSV, JSON, PDF, Excel, Image Processing.
🎙️ Multimedia	wpipe_steps.multimedia	Audio Normalization, Whisper AI, TTS.
🤖 AI	wpipe_steps.ai	OpenAI, HuggingFace, Sentiment Analysis.
⚙️ System	wpipe_steps.system	Resource Monitoring, Shell Exec, Health Checks.

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🚀 Quick Start

Installation

pip install wpipe-steps

Basic Usage

from wpipe import Pipeline
from wpipe_steps.connectivity import HttpRequestStep

# Create a pipeline
pipeline = Pipeline(pipeline_name="fetch_api")

# Use a pre-built step
pipeline.set_steps([
    HttpRequestStep.as_step(
        name="fetch_user",
        url="https://api.example.com/user/1",
        method="GET"
    )
])

pipeline.run({})

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🛠️ Developer Guide: Creating a New Step

All steps should inherit from BaseStep located in wpipe_steps.core.base.

from wpipe_steps.core.base import BaseStep

class MyCustomStep(BaseStep):
    def execute(self, data):
        # Your logic here
        data["my_key"] = "my_value"
        return data

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📢 Roadmap

Check the TODO.txt for the full list of planned steps for each pack.

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Diseñado con ❤️ por William Rodriguez (wisrovi) para ingenieros que buscan máxima productividad.