Skip to main content

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

Project description

🧱 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.


📂 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.
Redis Steps: Full Redis support via wredis (bitmaps, hash, sets, sorted sets, streams, pub/sub, queue, geo, hyperloglog, transactions, pipeline, cache decorators) - sync/async.
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.

🚀 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({})

🛠️ 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

📢 Roadmap

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


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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wpipe_steps-0.27.0.tar.gz (104.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wpipe_steps-0.27.0-py3-none-any.whl (117.7 kB view details)

Uploaded Python 3

File details

Details for the file wpipe_steps-0.27.0.tar.gz.

File metadata

  • Download URL: wpipe_steps-0.27.0.tar.gz
  • Upload date:
  • Size: 104.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for wpipe_steps-0.27.0.tar.gz
Algorithm Hash digest
SHA256 11967a247ada5f2a5f0a55e8c8f2009511ca0aab1efe04edaa6c1108e513612a
MD5 5ff71a0df6c54edbf772b00ec9e5da0c
BLAKE2b-256 acf7109428b6eca1289381ad6cd8e19a544148a53828a9895b2e97130782fd68

See more details on using hashes here.

File details

Details for the file wpipe_steps-0.27.0-py3-none-any.whl.

File metadata

  • Download URL: wpipe_steps-0.27.0-py3-none-any.whl
  • Upload date:
  • Size: 117.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for wpipe_steps-0.27.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aa3e3db284e2c7755030c36d59f55b801a543814715e43a21c927f76a0803119
MD5 eb0f5ed2d164a302613bb2b06b949600
BLAKE2b-256 746e44a2c4d72c4989b6e924d794454bad33cb3408316b92575bff0b63fd0cdb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page