finlight-client 2.0.0

Python client for the Finlight API

Finlight Client – Python Library

A Python client library for interacting with the Finlight News API. Finlight delivers real-time and historical financial news articles, enriched with sentiment analysis, company tagging, and market metadata. This library makes it easy to integrate Finlight into your Python applications.

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✨ Features

• Fetch structured news articles with date parsing and metadata.
• Filter by tickers, sources, languages, and date ranges.
• Stream real-time news updates via WebSocket.
• Auto-reconnect and ping/pong watchdog for WebSocket.
• Strongly typed models using pydantic and dataclass.
• Lightweight and developer-friendly.

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📦 Installation

pip install finlight-client

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🚀 Quick Start

Fetch Articles via REST API

from finlight_client import FinlightApi, ApiConfig
from finlight_client.models import GetArticlesParams

def main():
    # Initialize the client
    config = ApiConfig(api_key="your_api_key")
    client = FinlightApi(config)

    # Create query parameters
    params = GetArticlesParams(
        query="Nvidia",
        language="en",
        from_="2024-01-01",
        to="2024-12-31",
        includeContent=True
    )

    # Fetch articles
    response = client.articles.fetch_articles(params=params)

    # Print results
    for article in response['articles']:
        print(f"{article['publishDate']} | {article['title']}")

if __name__ == "__main__":
    main()

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Stream Real-Time Articles via WebSocket

import asyncio
from finlight_client import FinlightApi, ApiConfig
from finlight_client.models import GetArticlesWebSocketParams

def on_article(article):
    print("📨 Received:", article.title)

async def main():
    # Initialize the client
    config = ApiConfig(api_key="your_api_key")
    client = FinlightApi(config)

    # Create WebSocket parameters
    payload = GetArticlesWebSocketParams(
        query="Nvidia",
        sources=["www.reuters.com"],
        language="en",
        extended=True,
    )

    # Connect and listen for articles
    await client.websocket.connect(
        request_payload=payload,
        on_article=on_article
    )

if __name__ == "__main__":
    asyncio.run(main())

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⚙️ Configuration

ApiConfig allows fine-tuning of your API client:

Parameter	Type	Description	Default
api_key	str	Your API key	Required
base_url	AnyHttpUrl	Base REST API URL	https://api.finlight.me
wss_url	AnyHttpUrl	WebSocket server URL	wss://wss.finlight.me
timeout	int	Request timeout in ms	5000
retry_count	int	Retry attempts on failures	3

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📚 API Overview

ArticleService.fetch_articles(params: GetArticlesParams) -> dict

• Fetch articles with flexible filtering.
• Automatically parses ISO date strings into datetime.

SourcesService.get_sources() -> List[Source]

• Retrieve available news sources.
• Returns list of sources with metadata about content availability.

WebSocketClient.connect(request_payload, on_article)

• Subscribe to live article updates.
• Reconnects automatically on disconnects.
• Pings the server every 30s to keep the connection alive.

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🧯 Error Handling

• Invalid date strings raise clear Python ValueErrors.
• REST and WebSocket exceptions are logged and managed.
• WebSocket includes reconnect, watchdog, and ping/pong mechanisms.

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📖 Additional Examples

Fetch Available Sources

from finlight_client import FinlightApi, ApiConfig

def main():
    config = ApiConfig(api_key="your_api_key")
    client = FinlightApi(config)

    sources = client.sources.get_sources()

    for source in sources:
        print(f"{source['domain']} - Content: {source['isContentAvailable']}")

if __name__ == "__main__":
    main()

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🧰 Model Summary

GetArticlesParams

Query parameters to filter articles, including:

• query: Search text
• tickers: List of ticker symbols
• sources, excludeSources: Source filtering
• language: e.g., "en", "de"
• from_, to: Date range (YYYY-MM-DD or ISO)
• includeContent, includeEntities, excludeEmptyContent
• orderBy, order, page, pageSize

Article

Each article includes:

• title, link, publishDate, source, language
• summary, content, sentiment, confidence
• images: List of image URLs
• companies: List of tagged Company objects

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🤝 Contributing

We welcome contributions and suggestions!

• Fork this repo
• Create a feature branch
• Submit a pull request with tests if applicable

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📄 License

MIT License – see LICENSE

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🔗 Resources

• Finlight API Documentation
• GitHub Repository
• PyPI Package