sayou-connector 0.1.3

Connector components for the Sayou Data Platform

sayou-connector

sayou-connector is the universal data ingestion engine for the Sayou Data Platform. It provides a unified interface to fetch data from diverse sources—Local Files, Web URLs, APIs, and Databases.

Unlike simple HTTP clients or file readers, sayou-connector is designed as a Recursive Crawling Engine. It separates the logic of "What to fetch" (Navigation) from "How to fetch" (Transport), allowing for complex, stateful data collection strategies like web crawling or database pagination.

Philosophy

"Navigate First, Fetch Later." Data collection is not a one-off task; it's a discovery process. We define two distinct roles:

1. Generator (Navigator): Determines the next target (e.g., finds the next page URL, calculates DB offset).
2. Fetcher (Driver): Executes the retrieval (e.g., sends HTTP GET, executes SQL).

This separation allows the pipeline to be infinitely extensible—from a simple file walker to an AI-powered web crawler.

🚀 Key Features

• Strategy-Based Execution: Switch between local_scan, web_crawl, or sql_scan with a single parameter.
• Recursive & Stateful: Supports BFS/DFS crawling for websites and directories with depth control.
• Smart Filtering: Built-in support for regex-based URL filtering and file extension filtering.
• AI-Ready: Designed to integrate with LLMs (Tier 3 Plugin) to intelligently identify CSS selectors or generate SQL queries dynamically.

📦 Installation

pip install sayou-connector

⚡ Quickstart

The ConnectorPipeline manages the loop between Generators and Fetchers.

from sayou.connector.pipeline import ConnectorPipeline

def run_demo():
    # 1. Initialize Pipeline
    pipeline = ConnectorPipeline()
    pipeline.initialize()

    # 2. Run (Example: Web Crawling)
    print("Starting Web Crawl...")
    results = pipeline.run(
        source="BASE_URL",
        strategy="web_crawl",
        # Generator Options
        link_pattern="BASE_PATTERN",
        max_depth=1
    )

    # 3. Process Results (Stream)
    for res in results:
        print(f"[Fetched] {res.task.uri}")
        # res.data contains extracted content or raw HTML
        # res.task contains metadata

if __name__ == "__main__":
    run_demo()

🤝 Contributing

We welcome contributions for new Fetchers (e.g., S3Fetcher, KafkaFetcher) or Generators (e.g., SitemapGenerator).

📜 License

Apache 2.0 License © 2025 Sayouzone