API

Authentication Setup:

  • OAuth 2.0: Detailed steps for implementing OAuth 2.0 for Twitter API access, including:

    • Registering your application on Twitter Developer Portal.

    • Managing credentials securely, possibly using environment variables or secure storage solutions.

    • Implementing the OAuth flow in both Rust and Golang.

Example in Rust:

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rust
use oauth2::{basic::BasicClient, AuthUrl, ClientId, ClientSecret, TokenUrl};

fn setup_twitter_auth() -> Result<BasicClient, Box<dyn std::error::Error>> {
    let client = BasicClient::new(
        ClientId::new("your_client_id".to_string()),
        Some(ClientSecret::new("your_client_secret".to_string())),
        AuthUrl::new("https://api.twitter.com/oauth/authorize".to_string())?,
        Some(TokenUrl::new("https://api.twitter.com/oauth/access_token".to_string())?),
    );
    Ok(client)
}

Rate Limiting and Management

  • Understanding Limits: Explain Twitter's API rate limits for different endpoints and how to monitor them.

  • Strategies: Implementations for:

    • Exponential backoff for retries.

    • Caching responses to reduce API calls.

    • Batching requests where possible.

Golang Example for Rate Limiting:

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go
import (
    "time"
    "github.com/juju/ratelimit"
)

var bucket = ratelimit.NewBucket(time.Minute, 900) // 900 requests per minute

func makeRequest() {
    bucket.Wait(1)
    // Make API call
}

Data Streaming and Handling

  • Streaming API: Guide on how to use Twitter's streaming API for real-time data, including setting up endpoints for:

    • Statuses/filter for specific keywords, users, or locations.

    • Sample stream for a random sample of public tweets.

  • Handling Stream: Techniques for parsing, storing, and processing large volumes of data in real-time.

Other APIsIntegrating with News Feeds

  • RSS/Atom Feeds: Parsing and integrating news feeds for content enrichment or event detection.

  • API Examples: Using services like NewsAPI.org or custom news feed APIs for broader data sources.

Rust Example for RSS Parsing:

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rust
use rss::Channel;

fn parse_rss_feed(url: &str) -> Result<Channel, Box<dyn std::error::Error>> {
    let content = reqwest::blocking::get(url)?.bytes()?;
    let channel = Channel::read_from(&content[..])?;
    Ok(channel)
}

Financial Data Services

  • Market Data: Integrating with financial APIs like Alpha Vantage or IEX Cloud to pull stock prices, forex data, or cryptocurrency information.

  • Application: Use this data for financial analysis bots, market trend tweets, or personalized financial advice.

Rust Example for Stock Data:

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rust
use reqwest::blocking::get;

fn fetch_stock_price(symbol: &str) -> Result<f64, Box<dyn std::error::Error>> {
    let url = format!("https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={}&apikey=YOUR_API_KEY", symbol);
    let resp = get(&url)?.json::<serde_json::Value>()?;
    let price = resp["Global Quote"]["05. price"]
        .as_str()
        .unwrap_or("0.0")
        .parse::<f64>()?;
    Ok(price)
}

General Considerations for API Integration

  • Error Handling: Robust error handling for API failures, timeouts, or unexpected responses.

  • API Key Management: Secure storage and rotation of API keys to maintain security.

  • Rate Limit Awareness: Design your system to respect and react to the rate limits of all integrated services.

  • Data Privacy: Ensure compliance with privacy laws and ethical data usage when dealing with user or third-party data.

  • Testing: Develop comprehensive tests for API interactions, including mock responses for offline testing.

By integrating these third-party services, Thor and its agents can access a wealth of external data, enhancing their functionality, providing more contextual intelligence, and enabling more personalized interactions. Remember, each API integration should be approached with considerations for security, performance, and compliance.

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