Add Firecrawl integration for RAGFlow (#10152)

## 🚀 Firecrawl Integration for RAGFlow

This PR implements the Firecrawl integration for RAGFlow as requested in
issue https://github.com/firecrawl/firecrawl/issues/2167

### ✅ Features Implemented

- **Data Source Integration**: Firecrawl appears as a selectable data
source in RAGFlow
- **Configuration Management**: Users can input Firecrawl API keys
through RAGFlow's interface
- **Web Scraping**: Supports single URL scraping, website crawling, and
batch processing
- **Content Processing**: Converts scraped content to RAGFlow's document
format with chunking
- **Error Handling**: Comprehensive error handling for rate limits,
failed requests, and malformed content
- **UI Components**: Complete UI schema and workflow components for
RAGFlow integration

### 📁 Files Added

- `intergrations/firecrawl/` - Complete integration package
- `intergrations/firecrawl/integration.py` - RAGFlow integration entry
point
- `intergrations/firecrawl/firecrawl_connector.py` - API communication
- `intergrations/firecrawl/firecrawl_config.py` - Configuration
management
- `intergrations/firecrawl/firecrawl_processor.py` - Content processing
- `intergrations/firecrawl/firecrawl_ui.py` - UI components
- `intergrations/firecrawl/ragflow_integration.py` - Main integration
class
- `intergrations/firecrawl/README.md` - Complete documentation
- `intergrations/firecrawl/example_usage.py` - Usage examples

### 🧪 Testing

The integration has been thoroughly tested with:
- Configuration validation
- Connection testing
- Content processing and chunking
- UI component rendering
- Error handling scenarios

### 📋 Acceptance Criteria Met

- ✅ Integration appears as selectable data source in RAGFlow's data
source options
- ✅ Users can input Firecrawl API keys through RAGFlow's configuration
interface
- ✅ Successfully scrapes content from provided URLs and imports into
RAGFlow's document store
- ✅ Handles common edge cases (rate limits, failed requests, malformed
content)
- ✅ Includes basic documentation and README updates
- ✅ Code follows RAGFlow's existing patterns and coding standards

### �� Related Issue

https://github.com/firecrawl/firecrawl/issues/2167

---------

Co-authored-by: AB <aj@Ajays-MacBook-Air.local>

intergrations/firecrawl/firecrawl_config.py

@@ -0,0 +1,79 @@
+"""
+Configuration management for Firecrawl integration with RAGFlow.
+"""
+
+import os
+from typing import Dict, Any
+from dataclasses import dataclass
+import json
+
+
+@dataclass
+class FirecrawlConfig:
+    """Configuration class for Firecrawl integration."""
+    
+    api_key: str
+    api_url: str = "https://api.firecrawl.dev"
+    max_retries: int = 3
+    timeout: int = 30
+    rate_limit_delay: float = 1.0
+    max_concurrent_requests: int = 5
+    
+    def __post_init__(self):
+        """Validate configuration after initialization."""
+        if not self.api_key:
+            raise ValueError("Firecrawl API key is required")
+        
+        if not self.api_key.startswith("fc-"):
+            raise ValueError("Invalid Firecrawl API key format. Must start with 'fc-'")
+        
+        if self.max_retries < 1 or self.max_retries > 10:
+            raise ValueError("Max retries must be between 1 and 10")
+        
+        if self.timeout < 5 or self.timeout > 300:
+            raise ValueError("Timeout must be between 5 and 300 seconds")
+        
+        if self.rate_limit_delay < 0.1 or self.rate_limit_delay > 10.0:
+            raise ValueError("Rate limit delay must be between 0.1 and 10.0 seconds")
+    
+    @classmethod
+    def from_env(cls) -> "FirecrawlConfig":
+        """Create configuration from environment variables."""
+        api_key = os.getenv("FIRECRAWL_API_KEY")
+        if not api_key:
+            raise ValueError("FIRECRAWL_API_KEY environment variable not set")
+        
+        return cls(
+            api_key=api_key,
+            api_url=os.getenv("FIRECRAWL_API_URL", "https://api.firecrawl.dev"),
+            max_retries=int(os.getenv("FIRECRAWL_MAX_RETRIES", "3")),
+            timeout=int(os.getenv("FIRECRAWL_TIMEOUT", "30")),
+            rate_limit_delay=float(os.getenv("FIRECRAWL_RATE_LIMIT_DELAY", "1.0")),
+            max_concurrent_requests=int(os.getenv("FIRECRAWL_MAX_CONCURRENT", "5"))
+        )
+    
+    @classmethod
+    def from_dict(cls, config_dict: Dict[str, Any]) -> "FirecrawlConfig":
+        """Create configuration from dictionary."""
+        return cls(**config_dict)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert configuration to dictionary."""
+        return {
+            "api_key": self.api_key,
+            "api_url": self.api_url,
+            "max_retries": self.max_retries,
+            "timeout": self.timeout,
+            "rate_limit_delay": self.rate_limit_delay,
+            "max_concurrent_requests": self.max_concurrent_requests
+        }
+    
+    def to_json(self) -> str:
+        """Convert configuration to JSON string."""
+        return json.dumps(self.to_dict(), indent=2)
+    
+    @classmethod
+    def from_json(cls, json_str: str) -> "FirecrawlConfig":
+        """Create configuration from JSON string."""
+        config_dict = json.loads(json_str)
+        return cls.from_dict(config_dict)