- """
-
- return html
-
- except Exception as e:
- logger.error(f"Error in get_news_feed: {e}\n{traceback.format_exc()}")
- return f"""
-
-
Error Loading News
-
{str(e)}
-
- """
-
-
-# ==================== TAB 4: AI ANALYSIS ====================
-
-def generate_ai_analysis(symbol_display: str) -> str:
- """
- Generate AI-powered market analysis for a cryptocurrency
-
- Args:
- symbol_display: Display name like "Bitcoin (BTC)"
-
- Returns:
- HTML with analysis results
- """
- try:
- logger.info(f"Generating AI analysis for {symbol_display}")
-
- # Extract symbol
- if '(' in symbol_display and ')' in symbol_display:
- symbol = symbol_display.split('(')[1].split(')')[0].strip().upper()
- else:
- symbol = symbol_display.strip().upper()
-
- # Get price history (last 30 days)
- history = db.get_price_history(symbol, hours=24*30)
-
- if not history or len(history) < 2:
- return f"""
-
-
Insufficient Data
-
Not enough historical data available for {symbol} to perform analysis.
-
Please try a different cryptocurrency or wait for more data to be collected.
-
- """
-
- # Prepare price history for AI analysis
- price_history = [
- {
- 'price': h.get('price_usd', 0),
- 'timestamp': h.get('timestamp', ''),
- 'volume': h.get('volume_24h', 0)
- }
- for h in history
- ]
-
- # Call AI analysis
- analysis = ai_models.analyze_market_trend(price_history)
-
- # Get trend info
- trend = analysis.get('trend', 'Neutral')
- current_price = analysis.get('current_price', 0)
- support = analysis.get('support_level', 0)
- resistance = analysis.get('resistance_level', 0)
- prediction = analysis.get('prediction', 'No prediction available')
- confidence = analysis.get('confidence', 0)
- rsi = analysis.get('rsi', 50)
- ma7 = analysis.get('ma7', 0)
- ma30 = analysis.get('ma30', 0)
-
- # Determine trend color and icon
- if trend == "Bullish":
- trend_color = "#4CAF50"
- trend_icon = "📈"
- elif trend == "Bearish":
- trend_color = "#F44336"
- trend_icon = "📉"
- else:
- trend_color = "#FF9800"
- trend_icon = "➡️"
-
- # Format confidence as percentage
- confidence_pct = int(confidence * 100)
-
- # Build HTML
- html = f"""
-
-
-
-
-
{symbol} Market Analysis
-
{trend_icon}
-
{trend} Trend
-
-
-
-
-
Current Price
-
${current_price:,.2f}
-
-
-
Support Level
-
${support:,.2f}
-
-
-
Resistance Level
-
${resistance:,.2f}
-
-
-
RSI (14)
-
{rsi:.1f}
-
-
-
MA (7)
-
${ma7:,.2f}
-
-
-
MA (30)
-
${ma30:,.2f}
-
-
-
-
-
📊 Market Prediction
-
{prediction}
-
-
-
-
Confidence Score
-
-
{confidence_pct}%
-
-
-
-
-
-
📜 Recent Analysis History
-
Latest analysis generated on {datetime.now().strftime('%B %d, %Y at %H:%M:%S')}
-
Data Points Analyzed: {len(price_history)}
-
Time Range: {len(price_history)} hours of historical data
-
- """
-
- # Save analysis to database
- db.save_analysis({
- 'symbol': symbol,
- 'timeframe': '30d',
- 'trend': trend,
- 'support_level': support,
- 'resistance_level': resistance,
- 'prediction': prediction,
- 'confidence': confidence
- })
-
- logger.info(f"AI analysis completed for {symbol}")
- return html
-
- except Exception as e:
- logger.error(f"Error in generate_ai_analysis: {e}\n{traceback.format_exc()}")
- return f"""
-
-
Analysis Error
-
Failed to generate analysis: {str(e)}
-
Please try again or select a different cryptocurrency.
"
-
-
-def get_error_log_html() -> str:
- """Get last 10 errors from log file as HTML"""
- try:
- if not config.LOG_FILE.exists():
- return "
No error log file found
"
-
- # Read last 100 lines of log file
- with open(config.LOG_FILE, 'r') as f:
- lines = f.readlines()
-
- # Get lines with ERROR or WARNING
- error_lines = [line for line in lines[-100:] if 'ERROR' in line or 'WARNING' in line]
-
- if not error_lines:
- return "
✅ No recent errors or warnings
"
-
- # Take last 10
- error_lines = error_lines[-10:]
-
- html = "
Recent Errors & Warnings
"
-
- for line in error_lines:
- # Color code by severity
- if 'ERROR' in line:
- color = 'red'
- elif 'WARNING' in line:
- color = 'orange'
- else:
- color = 'black'
-
- html += f"
{line.strip()}
"
-
- html += "
"
-
- return html
-
- except Exception as e:
- logger.error(f"Error reading log file: {e}")
- return f"
"
+
+
+def export_current_status():
+ """Export current status to CSV"""
+ global current_results
+
+ if not current_results:
+ return None
+
+ try:
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ filename = f"api_status_{timestamp}.csv"
+ filepath = f"data/{filename}"
+
+ df_data = []
+ for result in current_results:
+ df_data.append({
+ 'Provider': result.provider_name,
+ 'Category': result.category,
+ 'Status': result.status.value,
+ 'Response_Time_ms': result.response_time,
+ 'Status_Code': result.status_code,
+ 'Error': result.error_message or '',
+ 'Timestamp': datetime.fromtimestamp(result.timestamp).isoformat()
+ })
+
+ df = pd.DataFrame(df_data)
+ df.to_csv(filepath, index=False)
+
+ return filepath
+
+ except Exception as e:
+ logger.error(f"Error exporting: {e}")
+ return None
+
+
+# =============================================================================
+# TAB 2: Category View
+# =============================================================================
+
+def get_category_overview():
+ """Get overview of all categories"""
+ global current_results
+
+ if not current_results:
+ return "No data available. Please refresh the dashboard first."
+
+ category_stats = monitor.get_category_stats(current_results)
+
+ html_output = "
"
+
+ for category, stats in category_stats.items():
+ online_pct = stats['online_percentage']
+
+ # Color based on health
+ if online_pct >= 80:
+ color = "#4CAF50"
+ elif online_pct >= 50:
+ color = "#FF9800"
+ else:
+ color = "#F44336"
+
+ html_output += f"""
+
+
📁 {category}
+
+
+ Total: {stats['total']}
+
+
+ 🟢 Online: {stats['online']}
+
+
+ 🟡 Degraded: {stats['degraded']}
+
+
+ 🔴 Offline: {stats['offline']}
+
+
+ Availability: {online_pct}%
+
+
+ Avg Response: {stats['avg_response_time']:.0f} ms
+
+
+
+
+ {online_pct}%
+
+
+
+ """
+
+ html_output += "
"
+
+ return html_output
+
+
+def get_category_chart():
+ """Create category availability chart"""
+ global current_results
+
+ if not current_results:
+ return go.Figure()
+
+ category_stats = monitor.get_category_stats(current_results)
+
+ categories = list(category_stats.keys())
+ online_pcts = [stats['online_percentage'] for stats in category_stats.values()]
+ avg_times = [stats['avg_response_time'] for stats in category_stats.values()]
+
+ fig = go.Figure()
+
+ fig.add_trace(go.Bar(
+ name='Availability %',
+ x=categories,
+ y=online_pcts,
+ marker_color='lightblue',
+ text=[f"{pct:.1f}%" for pct in online_pcts],
+ textposition='auto',
+ yaxis='y1'
+ ))
+
+ fig.add_trace(go.Scatter(
+ name='Avg Response Time (ms)',
+ x=categories,
+ y=avg_times,
+ mode='lines+markers',
+ marker=dict(size=10, color='red'),
+ line=dict(width=2, color='red'),
+ yaxis='y2'
+ ))
+
+ fig.update_layout(
+ title='Category Health Overview',
+ xaxis=dict(title='Category'),
+ yaxis=dict(title='Availability %', side='left', range=[0, 100]),
+ yaxis2=dict(title='Response Time (ms)', side='right', overlaying='y'),
+ hovermode='x unified',
+ template='plotly_white',
+ height=500
+ )
+
+ return fig
+
+
+# =============================================================================
+# TAB 3: Health History
+# =============================================================================
+
+def get_uptime_chart(provider_name=None, hours=24):
+ """Get uptime chart for provider(s)"""
+ try:
+ # Get data from database
+ status_data = db.get_recent_status(provider_name=provider_name, hours=hours)
+
+ if not status_data:
+ fig = go.Figure()
+ fig.add_annotation(
+ text="No historical data available. Data will accumulate over time.",
+ xref="paper", yref="paper",
+ x=0.5, y=0.5, showarrow=False,
+ font=dict(size=16)
+ )
+ return fig
+
+ # Convert to DataFrame
+ df = pd.DataFrame(status_data)
+ df['timestamp'] = pd.to_datetime(df['timestamp'], unit='s')
+ df['uptime_value'] = df['status'].apply(lambda x: 100 if x == 'online' else 0)
+
+ # Group by provider and time
+ if provider_name:
+ providers = [provider_name]
+ else:
+ providers = df['provider_name'].unique()[:10] # Limit to 10 providers
+
+ fig = go.Figure()
+
+ for provider in providers:
+ provider_df = df[df['provider_name'] == provider]
+
+ # Resample to hourly average
+ provider_df = provider_df.set_index('timestamp')
+ resampled = provider_df['uptime_value'].resample('1H').mean()
+
+ fig.add_trace(go.Scatter(
+ name=provider,
+ x=resampled.index,
+ y=resampled.values,
+ mode='lines+markers',
+ line=dict(width=2),
+ marker=dict(size=6)
+ ))
+
+ fig.update_layout(
+ title=f'Uptime History - Last {hours} Hours',
+ xaxis_title='Time',
+ yaxis_title='Uptime %',
+ hovermode='x unified',
+ template='plotly_white',
+ height=500,
+ yaxis=dict(range=[0, 105])
+ )
+
+ return fig
+
+ except Exception as e:
+ logger.error(f"Error creating uptime chart: {e}")
+ fig = go.Figure()
+ fig.add_annotation(
+ text=f"Error: {str(e)}",
+ xref="paper", yref="paper",
+ x=0.5, y=0.5, showarrow=False
+ )
+ return fig
+
+
+def get_response_time_chart(provider_name=None, hours=24):
+ """Get response time trends"""
+ try:
+ status_data = db.get_recent_status(provider_name=provider_name, hours=hours)
+
+ if not status_data:
+ return go.Figure()
+
+ df = pd.DataFrame(status_data)
+ df['timestamp'] = pd.to_datetime(df['timestamp'], unit='s')
+
+ if provider_name:
+ providers = [provider_name]
+ else:
+ providers = df['provider_name'].unique()[:10]
+
+ fig = go.Figure()
+
+ for provider in providers:
+ provider_df = df[df['provider_name'] == provider]
+
+ fig.add_trace(go.Scatter(
+ name=provider,
+ x=provider_df['timestamp'],
+ y=provider_df['response_time'],
+ mode='lines',
+ line=dict(width=2)
+ ))
+
+ fig.update_layout(
+ title=f'Response Time Trends - Last {hours} Hours',
+ xaxis_title='Time',
+ yaxis_title='Response Time (ms)',
+ hovermode='x unified',
+ template='plotly_white',
+ height=500
+ )
+
+ return fig
+
+ except Exception as e:
+ logger.error(f"Error creating response time chart: {e}")
+ return go.Figure()
+
+
+def get_incident_log(hours=24):
+ """Get incident log"""
+ try:
+ incidents = db.get_incident_history(hours=hours)
+
+ if not incidents:
+ return pd.DataFrame({'Message': ['No incidents in the selected period']})
+
+ df_data = []
+ for incident in incidents:
+ df_data.append({
+ 'Timestamp': incident['start_time'],
+ 'Provider': incident['provider_name'],
+ 'Category': incident['category'],
+ 'Type': incident['incident_type'],
+ 'Severity': incident['severity'],
+ 'Description': incident['description'],
+ 'Duration': f"{incident.get('duration_seconds', 0)} sec" if incident.get('resolved') else 'Ongoing',
+ 'Status': '✅ Resolved' if incident.get('resolved') else '⚠️ Active'
+ })
+
+ return pd.DataFrame(df_data)
+
+ except Exception as e:
+ logger.error(f"Error getting incident log: {e}")
+ return pd.DataFrame({'Error': [str(e)]})
+
+
+# =============================================================================
+# TAB 4: Test Endpoint
+# =============================================================================
+
+def test_endpoint(provider_name, custom_endpoint="", use_proxy=False):
+ """Test a specific endpoint"""
+ try:
+ resources = config.get_all_resources()
+ resource = next((r for r in resources if r['name'] == provider_name), None)
+
+ if not resource:
+ return "Provider not found", ""
+
+ # Override endpoint if provided
+ if custom_endpoint:
+ resource = resource.copy()
+ resource['endpoint'] = custom_endpoint
+
+ # Run check
+ result = asyncio.run(monitor.check_endpoint(resource, use_proxy=use_proxy))
+
+ # Format response
+ status_emoji = result.get_badge()
+ status_text = f"""
+## Test Results
+
+**Provider:** {result.provider_name}
+**Status:** {status_emoji} {result.status.value.upper()}
+**Response Time:** {result.response_time:.2f} ms
+**Status Code:** {result.status_code or 'N/A'}
+**Endpoint:** `{result.endpoint_tested}`
+
+### Details
+"""
+
+ if result.error_message:
+ status_text += f"\n**Error:** {result.error_message}\n"
+ else:
+ status_text += "\n✅ Request successful\n"
+
+ # Troubleshooting hints
+ if result.status != HealthStatus.ONLINE:
+ status_text += "\n### Troubleshooting Hints\n"
+ if result.status_code == 403:
+ status_text += "- Check API key validity\n- Verify rate limits\n- Try using CORS proxy\n"
+ elif result.status_code == 429:
+ status_text += "- Rate limit exceeded\n- Wait before retrying\n- Consider using backup provider\n"
+ elif result.error_message and "timeout" in result.error_message.lower():
+ status_text += "- Connection timeout\n- Service may be slow or down\n- Try increasing timeout\n"
+ else:
+ status_text += "- Verify endpoint URL\n- Check network connectivity\n- Review API documentation\n"
+
+ return status_text, json.dumps(result.to_dict(), indent=2)
+
+ except Exception as e:
+ return f"Error testing endpoint: {str(e)}", ""
+
+
+def get_example_query(provider_name):
+ """Get example query for a provider"""
+ resources = config.get_all_resources()
+ resource = next((r for r in resources if r['name'] == provider_name), None)
+
+ if not resource:
+ return ""
+
+ example = resource.get('example', '')
+ if example:
+ return f"Example:\n{example}"
+
+ # Generate generic example based on endpoint
+ endpoint = resource.get('endpoint', '')
+ url = resource.get('url', '')
+
+ if endpoint:
+ return f"Example URL:\n{url}{endpoint}"
+
+ return f"Base URL:\n{url}"
+
+
+# =============================================================================
+# TAB 5: Configuration
+# =============================================================================
+
+def update_refresh_interval(interval_minutes):
+ """Update background refresh interval"""
+ try:
+ scheduler.update_interval(interval_minutes)
+ return f"✅ Refresh interval updated to {interval_minutes} minutes"
+ except Exception as e:
+ return f"❌ Error: {str(e)}"
+
+
+def clear_all_cache():
+ """Clear all caches"""
+ try:
+ monitor.clear_cache()
+ return "✅ Cache cleared successfully"
+ except Exception as e:
+ return f"❌ Error: {str(e)}"
+
+
+def get_config_info():
+ """Get configuration information"""
+ stats = config.stats()
+
+ info = f"""
+## Configuration Overview
+
+**Total API Resources:** {stats['total_resources']}
+**Categories:** {stats['total_categories']}
+**Free Resources:** {stats['free_resources']}
+**Tier 1 (Critical):** {stats['tier1_count']}
+**Tier 2 (Important):** {stats['tier2_count']}
+**Tier 3 (Others):** {stats['tier3_count']}
+**Configured API Keys:** {stats['api_keys_count']}
+**CORS Proxies:** {stats['cors_proxies_count']}
+
+### Categories
+{', '.join(stats['categories'])}
+
+### Scheduler Status
+**Running:** {scheduler.is_running()}
+**Interval:** {scheduler.interval_minutes} minutes
+**Last Run:** {scheduler.last_run_time.strftime('%Y-%m-%d %H:%M:%S') if scheduler.last_run_time else 'Never'}
+"""
+
+ return info
+
+
+# =============================================================================
+# Build Gradio Interface
+# =============================================================================
+
+def build_interface():
+ """Build the complete Gradio interface"""
+
+ with gr.Blocks(
+ theme=gr.themes.Soft(primary_hue="purple", secondary_hue="blue"),
+ title="Crypto API Monitor",
+ css="""
+ .gradio-container {
+ max-width: 1400px !important;
+ }
+ """
+ ) as app:
+
+ gr.Markdown("""
+ # 📊 Cryptocurrency API Monitor
+ ### Real-time health monitoring for 162+ crypto API endpoints
+ *Production-ready | Auto-refreshing | Persistent metrics | Multi-tier monitoring*
+ """)
+
+ # TAB 1: Real-Time Dashboard
+ with gr.Tab("📊 Real-Time Dashboard"):
+ with gr.Row():
+ refresh_btn = gr.Button("🔄 Refresh Now", variant="primary", size="lg")
+ export_btn = gr.Button("💾 Export CSV", size="lg")
+
+ with gr.Row():
+ category_filter = gr.Dropdown(
+ choices=["All"] + config.get_categories(),
+ value="All",
+ label="Filter by Category"
+ )
+ status_filter = gr.Dropdown(
+ choices=["All", "Online", "Degraded", "Offline"],
+ value="All",
+ label="Filter by Status"
+ )
+ tier_filter = gr.Dropdown(
+ choices=["All", "Tier 1", "Tier 2", "Tier 3"],
+ value="All",
+ label="Filter by Tier"
+ )
+
+ summary_cards = gr.HTML()
+ status_table = gr.DataFrame(
+ headers=["Status", "Provider", "Category", "Response Time", "Last Check", "Code"],
+ wrap=True
+ )
+ download_file = gr.File(label="Download CSV", visible=False)
+
+ refresh_btn.click(
+ fn=refresh_dashboard,
+ inputs=[category_filter, status_filter, tier_filter],
+ outputs=[status_table, summary_cards]
+ )
+
+ export_btn.click(
+ fn=export_current_status,
+ outputs=download_file
+ )
+
+ # TAB 2: Category View
+ with gr.Tab("📁 Category View"):
+ gr.Markdown("### API Resources by Category")
+
+ with gr.Row():
+ refresh_cat_btn = gr.Button("🔄 Refresh Categories", variant="primary")
+
+ category_overview = gr.HTML()
+ category_chart = gr.Plot()
+
+ refresh_cat_btn.click(
+ fn=get_category_overview,
+ outputs=category_overview
+ )
+
+ refresh_cat_btn.click(
+ fn=get_category_chart,
+ outputs=category_chart
+ )
+
+ # TAB 3: Health History
+ with gr.Tab("📈 Health History"):
+ gr.Markdown("### Historical Performance & Incidents")
+
+ with gr.Row():
+ history_provider = gr.Dropdown(
+ choices=["All"] + [r['name'] for r in config.get_all_resources()],
+ value="All",
+ label="Select Provider"
+ )
+ history_hours = gr.Slider(
+ minimum=1,
+ maximum=168,
+ value=24,
+ step=1,
+ label="Time Range (hours)"
+ )
+ refresh_history_btn = gr.Button("🔄 Refresh", variant="primary")
+
+ uptime_chart = gr.Plot(label="Uptime History")
+ response_chart = gr.Plot(label="Response Time Trends")
+ incident_table = gr.DataFrame(label="Incident Log")
+
+ def update_history(provider, hours):
+ prov = None if provider == "All" else provider
+ uptime = get_uptime_chart(prov, hours)
+ response = get_response_time_chart(prov, hours)
+ incidents = get_incident_log(hours)
+ return uptime, response, incidents
+
+ refresh_history_btn.click(
+ fn=update_history,
+ inputs=[history_provider, history_hours],
+ outputs=[uptime_chart, response_chart, incident_table]
+ )
+
+ # TAB 4: Test Endpoint
+ with gr.Tab("🔧 Test Endpoint"):
+ gr.Markdown("### Test Individual API Endpoints")
+
+ with gr.Row():
+ test_provider = gr.Dropdown(
+ choices=[r['name'] for r in config.get_all_resources()],
+ label="Select Provider"
+ )
+ test_btn = gr.Button("▶️ Run Test", variant="primary")
+
+ with gr.Row():
+ custom_endpoint = gr.Textbox(
+ label="Custom Endpoint (optional)",
+ placeholder="/api/endpoint"
+ )
+ use_proxy_check = gr.Checkbox(label="Use CORS Proxy", value=False)
+
+ example_query = gr.Markdown()
+ test_result = gr.Markdown()
+ test_json = gr.Code(label="JSON Response", language="json")
+
+ test_provider.change(
+ fn=get_example_query,
+ inputs=test_provider,
+ outputs=example_query
+ )
+
+ test_btn.click(
+ fn=test_endpoint,
+ inputs=[test_provider, custom_endpoint, use_proxy_check],
+ outputs=[test_result, test_json]
+ )
+
+ # TAB 5: Configuration
+ with gr.Tab("⚙️ Configuration"):
+ gr.Markdown("### System Configuration & Settings")
+
+ config_info = gr.Markdown()
+
+ with gr.Row():
+ refresh_interval = gr.Slider(
+ minimum=1,
+ maximum=60,
+ value=5,
+ step=1,
+ label="Auto-refresh Interval (minutes)"
+ )
+ update_interval_btn = gr.Button("💾 Update Interval")
+
+ interval_status = gr.Textbox(label="Status", interactive=False)
+
+ with gr.Row():
+ clear_cache_btn = gr.Button("🗑️ Clear Cache")
+ cache_status = gr.Textbox(label="Cache Status", interactive=False)
+
+ gr.Markdown("### API Keys Management")
+ gr.Markdown("""
+ API keys are loaded from environment variables in Hugging Face Spaces.
+ Go to **Settings > Repository secrets** to add keys:
+ - `ETHERSCAN_KEY`
+ - `BSCSCAN_KEY`
+ - `TRONSCAN_KEY`
+ - `CMC_KEY` (CoinMarketCap)
+ - `CRYPTOCOMPARE_KEY`
+ """)
+
+ # Load config info on tab open
+ app.load(fn=get_config_info, outputs=config_info)
+
+ update_interval_btn.click(
+ fn=update_refresh_interval,
+ inputs=refresh_interval,
+ outputs=interval_status
+ )
+
+ clear_cache_btn.click(
+ fn=clear_all_cache,
+ outputs=cache_status
+ )
+
+ # Initial load
+ app.load(
+ fn=refresh_dashboard,
+ inputs=[category_filter, status_filter, tier_filter],
+ outputs=[status_table, summary_cards]
+ )
+
+ return app
+
+
+# =============================================================================
+# Main Entry Point
+# =============================================================================
+
+if __name__ == "__main__":
+ logger.info("Starting Crypto API Monitor...")
+
+ # Start background scheduler
+ scheduler.start()
+
+ # Build and launch app
+ app = build_interface()
+
+ # Launch with sharing for HF Spaces
+ app.launch(
+ server_name="0.0.0.0",
+ server_port=7860,
+ share=False,
+ show_error=True
+ )
diff --git a/app/final/auto_provider_loader.py b/app/final/auto_provider_loader.py
new file mode 100644
index 0000000000000000000000000000000000000000..cf049ff69cca9f64a3429e8bf678c6916d27fa84
--- /dev/null
+++ b/app/final/auto_provider_loader.py
@@ -0,0 +1,576 @@
+#!/usr/bin/env python3
+"""
+Auto Provider Loader (APL) - REAL DATA ONLY
+Scans, validates, and integrates providers from JSON resources.
+NO MOCK DATA. NO FAKE RESPONSES.
+"""
+
+import asyncio
+import json
+import os
+from pathlib import Path
+from typing import Dict, List, Any, Optional
+from dataclasses import dataclass, asdict
+import time
+from datetime import datetime
+
+from provider_validator import ProviderValidator, ValidationResult, ValidationStatus
+
+
+@dataclass
+class APLStats:
+ """APL execution statistics"""
+ total_http_candidates: int = 0
+ total_hf_candidates: int = 0
+ http_valid: int = 0
+ http_invalid: int = 0
+ http_conditional: int = 0
+ hf_valid: int = 0
+ hf_invalid: int = 0
+ hf_conditional: int = 0
+ total_active_providers: int = 0
+ execution_time_sec: float = 0.0
+ timestamp: str = ""
+
+ def __post_init__(self):
+ if not self.timestamp:
+ self.timestamp = datetime.now().isoformat()
+
+
+class AutoProviderLoader:
+ """
+ Auto Provider Loader (APL)
+ Discovers, validates, and integrates providers automatically.
+ """
+
+ def __init__(self, workspace_root: str = "/workspace"):
+ self.workspace_root = Path(workspace_root)
+ self.validator = ProviderValidator(timeout=8.0)
+ self.http_results: List[ValidationResult] = []
+ self.hf_results: List[ValidationResult] = []
+ self.stats = APLStats()
+
+ def discover_http_providers(self) -> List[Dict[str, Any]]:
+ """
+ Discover HTTP providers from JSON resources.
+ Returns list of (provider_id, provider_data, source_file) tuples.
+ """
+ providers = []
+
+ # Scan api-resources directory
+ api_resources = self.workspace_root / "api-resources"
+ if api_resources.exists():
+ for json_file in api_resources.glob("*.json"):
+ try:
+ with open(json_file, 'r') as f:
+ data = json.load(f)
+
+ # Check if it's the unified registry format
+ if "registry" in data:
+ registry = data["registry"]
+
+ # Process each section
+ for section_key, section_data in registry.items():
+ if section_key == "metadata":
+ continue
+
+ if isinstance(section_data, list):
+ for item in section_data:
+ provider_id = item.get("id", f"{section_key}_{len(providers)}")
+ providers.append({
+ "id": provider_id,
+ "data": item,
+ "source": str(json_file.name),
+ "section": section_key
+ })
+
+ # Check if it's a direct resources list
+ elif "resources" in data:
+ for idx, item in enumerate(data["resources"]):
+ provider_id = item.get("id", f"resource_{idx}")
+ if not provider_id or provider_id.startswith("resource_"):
+ # Generate ID from name
+ name = item.get("name", "").lower().replace(" ", "_")
+ provider_id = f"{name}_{idx}" if name else f"resource_{idx}"
+
+ providers.append({
+ "id": provider_id,
+ "data": {
+ "name": item.get("name"),
+ "category": item.get("category", "unknown"),
+ "base_url": item.get("url"),
+ "endpoint": item.get("endpoint"),
+ "auth": {
+ "type": "apiKey" if item.get("key") else "none",
+ "key": item.get("key")
+ },
+ "free": item.get("free", True),
+ "rate_limit": item.get("rateLimit"),
+ "notes": item.get("desc") or item.get("notes")
+ },
+ "source": str(json_file.name),
+ "section": "resources"
+ })
+
+ except Exception as e:
+ print(f"Error loading {json_file}: {e}")
+
+ # Scan providers_config files
+ for config_file in self.workspace_root.glob("providers_config*.json"):
+ try:
+ with open(config_file, 'r') as f:
+ data = json.load(f)
+
+ if "providers" in data:
+ for provider_id, provider_data in data["providers"].items():
+ providers.append({
+ "id": provider_id,
+ "data": provider_data,
+ "source": str(config_file.name),
+ "section": "providers"
+ })
+
+ except Exception as e:
+ print(f"Error loading {config_file}: {e}")
+
+ return providers
+
+ def discover_hf_models(self) -> List[Dict[str, Any]]:
+ """
+ Discover Hugging Face models from:
+ 1. backend/services/hf_client.py (hardcoded models)
+ 2. backend/services/hf_registry.py (dynamic discovery)
+ 3. JSON resources (hf_resources section)
+ """
+ models = []
+
+ # Hardcoded models from hf_client.py
+ hardcoded_models = [
+ {
+ "id": "ElKulako/cryptobert",
+ "name": "ElKulako CryptoBERT",
+ "pipeline_tag": "sentiment-analysis",
+ "source": "hf_client.py"
+ },
+ {
+ "id": "kk08/CryptoBERT",
+ "name": "KK08 CryptoBERT",
+ "pipeline_tag": "sentiment-analysis",
+ "source": "hf_client.py"
+ }
+ ]
+
+ for model in hardcoded_models:
+ models.append(model)
+
+ # Models from JSON resources
+ api_resources = self.workspace_root / "api-resources"
+ if api_resources.exists():
+ for json_file in api_resources.glob("*.json"):
+ try:
+ with open(json_file, 'r') as f:
+ data = json.load(f)
+
+ if "registry" in data:
+ hf_resources = data["registry"].get("hf_resources", [])
+ for item in hf_resources:
+ if item.get("type") == "model":
+ models.append({
+ "id": item.get("id", item.get("model_id")),
+ "name": item.get("name"),
+ "pipeline_tag": item.get("pipeline_tag", "sentiment-analysis"),
+ "source": str(json_file.name)
+ })
+
+ except Exception as e:
+ pass
+
+ return models
+
+ async def validate_all_http_providers(self, providers: List[Dict[str, Any]]) -> None:
+ """
+ Validate all HTTP providers in parallel batches.
+ """
+ print(f"\n🔍 Validating {len(providers)} HTTP provider candidates...")
+
+ # Process in batches to avoid overwhelming
+ batch_size = 10
+ for i in range(0, len(providers), batch_size):
+ batch = providers[i:i+batch_size]
+
+ tasks = [
+ self.validator.validate_http_provider(p["id"], p["data"])
+ for p in batch
+ ]
+
+ results = await asyncio.gather(*tasks, return_exceptions=True)
+
+ for j, result in enumerate(results):
+ if isinstance(result, Exception):
+ # Create error result
+ p = batch[j]
+ result = ValidationResult(
+ provider_id=p["id"],
+ provider_name=p["data"].get("name", p["id"]),
+ provider_type="http_json",
+ category=p["data"].get("category", "unknown"),
+ status=ValidationStatus.INVALID.value,
+ error_reason=f"Validation exception: {str(result)[:50]}"
+ )
+
+ self.http_results.append(result)
+
+ # Print progress
+ status_emoji = {
+ ValidationStatus.VALID.value: "✅",
+ ValidationStatus.INVALID.value: "❌",
+ ValidationStatus.CONDITIONALLY_AVAILABLE.value: "⚠️",
+ ValidationStatus.SKIPPED.value: "⏭️"
+ }
+
+ emoji = status_emoji.get(result.status, "❓")
+ print(f" {emoji} {result.provider_id}: {result.status}")
+
+ # Small delay between batches
+ await asyncio.sleep(0.5)
+
+ async def validate_all_hf_models(self, models: List[Dict[str, Any]]) -> None:
+ """
+ Validate all HF models sequentially (to avoid memory issues).
+ """
+ print(f"\n🤖 Validating {len(models)} HF model candidates...")
+
+ for model in models:
+ try:
+ result = await self.validator.validate_hf_model(
+ model["id"],
+ model["name"],
+ model.get("pipeline_tag", "sentiment-analysis")
+ )
+
+ self.hf_results.append(result)
+
+ status_emoji = {
+ ValidationStatus.VALID.value: "✅",
+ ValidationStatus.INVALID.value: "❌",
+ ValidationStatus.CONDITIONALLY_AVAILABLE.value: "⚠️"
+ }
+
+ emoji = status_emoji.get(result.status, "❓")
+ print(f" {emoji} {result.provider_id}: {result.status}")
+
+ except Exception as e:
+ print(f" ❌ {model['id']}: Exception during validation: {str(e)[:50]}")
+ self.hf_results.append(ValidationResult(
+ provider_id=model["id"],
+ provider_name=model["name"],
+ provider_type="hf_model",
+ category="hf_model",
+ status=ValidationStatus.INVALID.value,
+ error_reason=f"Validation exception: {str(e)[:50]}"
+ ))
+
+ def compute_stats(self) -> None:
+ """Compute final statistics"""
+ self.stats.total_http_candidates = len(self.http_results)
+ self.stats.total_hf_candidates = len(self.hf_results)
+
+ # Count HTTP results
+ for result in self.http_results:
+ if result.status == ValidationStatus.VALID.value:
+ self.stats.http_valid += 1
+ elif result.status == ValidationStatus.INVALID.value:
+ self.stats.http_invalid += 1
+ elif result.status == ValidationStatus.CONDITIONALLY_AVAILABLE.value:
+ self.stats.http_conditional += 1
+
+ # Count HF results
+ for result in self.hf_results:
+ if result.status == ValidationStatus.VALID.value:
+ self.stats.hf_valid += 1
+ elif result.status == ValidationStatus.INVALID.value:
+ self.stats.hf_invalid += 1
+ elif result.status == ValidationStatus.CONDITIONALLY_AVAILABLE.value:
+ self.stats.hf_conditional += 1
+
+ self.stats.total_active_providers = self.stats.http_valid + self.stats.hf_valid
+
+ def integrate_valid_providers(self) -> Dict[str, Any]:
+ """
+ Integrate valid providers into providers_config_extended.json.
+ Returns the updated config.
+ """
+ config_path = self.workspace_root / "providers_config_extended.json"
+
+ # Load existing config
+ if config_path.exists():
+ with open(config_path, 'r') as f:
+ config = json.load(f)
+ else:
+ config = {"providers": {}}
+
+ # Backup
+ backup_path = self.workspace_root / f"providers_config_extended.backup.{int(time.time())}.json"
+ with open(backup_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ print(f"\n📦 Backed up config to {backup_path.name}")
+
+ # Add valid HTTP providers
+ added_count = 0
+ for result in self.http_results:
+ if result.status == ValidationStatus.VALID.value:
+ if result.provider_id not in config["providers"]:
+ config["providers"][result.provider_id] = {
+ "name": result.provider_name,
+ "category": result.category,
+ "type": result.provider_type,
+ "validated": True,
+ "validated_at": result.validated_at,
+ "response_time_ms": result.response_time_ms,
+ "added_by": "APL"
+ }
+ added_count += 1
+
+ print(f"✅ Added {added_count} new valid HTTP providers to config")
+
+ # Save updated config
+ with open(config_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ return config
+
+ def generate_reports(self) -> None:
+ """Generate comprehensive reports"""
+ reports_dir = self.workspace_root
+
+ # 1. Detailed validation report
+ validation_report = {
+ "report_type": "Provider Auto-Discovery Validation Report",
+ "generated_at": datetime.now().isoformat(),
+ "stats": asdict(self.stats),
+ "http_providers": {
+ "total_candidates": self.stats.total_http_candidates,
+ "valid": self.stats.http_valid,
+ "invalid": self.stats.http_invalid,
+ "conditional": self.stats.http_conditional,
+ "results": [asdict(r) for r in self.http_results]
+ },
+ "hf_models": {
+ "total_candidates": self.stats.total_hf_candidates,
+ "valid": self.stats.hf_valid,
+ "invalid": self.stats.hf_invalid,
+ "conditional": self.stats.hf_conditional,
+ "results": [asdict(r) for r in self.hf_results]
+ }
+ }
+
+ report_path = reports_dir / "PROVIDER_AUTO_DISCOVERY_REPORT.json"
+ with open(report_path, 'w') as f:
+ json.dump(validation_report, f, indent=2)
+
+ print(f"\n📊 Generated detailed report: {report_path.name}")
+
+ # 2. Generate markdown summary
+ self.generate_markdown_report()
+
+ def generate_markdown_report(self) -> None:
+ """Generate markdown report"""
+ reports_dir = self.workspace_root
+
+ md_content = f"""# Provider Auto-Discovery Report
+
+**Generated:** {datetime.now().strftime("%Y-%m-%d %H:%M:%S UTC")}
+**Execution Time:** {self.stats.execution_time_sec:.2f} seconds
+
+---
+
+## Executive Summary
+
+| Metric | Count |
+|--------|-------|
+| **Total HTTP Candidates** | {self.stats.total_http_candidates} |
+| **HTTP Valid** | {self.stats.http_valid} ✅ |
+| **HTTP Invalid** | {self.stats.http_invalid} ❌ |
+| **HTTP Conditional** | {self.stats.http_conditional} ⚠️ |
+| **Total HF Model Candidates** | {self.stats.total_hf_candidates} |
+| **HF Models Valid** | {self.stats.hf_valid} ✅ |
+| **HF Models Invalid** | {self.stats.hf_invalid} ❌ |
+| **HF Models Conditional** | {self.stats.hf_conditional} ⚠️ |
+| **TOTAL ACTIVE PROVIDERS** | **{self.stats.total_active_providers}** |
+
+---
+
+## HTTP Providers
+
+### Valid Providers ({self.stats.http_valid})
+
+"""
+
+ # List valid HTTP providers
+ valid_http = [r for r in self.http_results if r.status == ValidationStatus.VALID.value]
+ for result in sorted(valid_http, key=lambda x: x.response_time_ms or 999999):
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ md_content += f" - Category: {result.category}\n"
+ md_content += f" - Type: {result.provider_type}\n"
+ md_content += f" - Response Time: {result.response_time_ms:.0f}ms\n"
+ if result.test_endpoint:
+ md_content += f" - Test Endpoint: `{result.test_endpoint}`\n"
+ md_content += "\n"
+
+ md_content += f"""
+### Invalid Providers ({self.stats.http_invalid})
+
+"""
+
+ # List some invalid providers with reasons
+ invalid_http = [r for r in self.http_results if r.status == ValidationStatus.INVALID.value]
+ for result in invalid_http[:20]: # Limit to first 20
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ md_content += f" - Reason: {result.error_reason}\n\n"
+
+ if len(invalid_http) > 20:
+ md_content += f"\n*... and {len(invalid_http) - 20} more invalid providers*\n"
+
+ md_content += f"""
+### Conditionally Available Providers ({self.stats.http_conditional})
+
+These providers require API keys or special configuration:
+
+"""
+
+ conditional_http = [r for r in self.http_results if r.status == ValidationStatus.CONDITIONALLY_AVAILABLE.value]
+ for result in conditional_http:
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ if result.auth_env_var:
+ md_content += f" - Required: `{result.auth_env_var}` environment variable\n"
+ md_content += f" - Reason: {result.error_reason}\n\n"
+
+ md_content += f"""
+---
+
+## Hugging Face Models
+
+### Valid Models ({self.stats.hf_valid})
+
+"""
+
+ valid_hf = [r for r in self.hf_results if r.status == ValidationStatus.VALID.value]
+ for result in valid_hf:
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ if result.response_time_ms:
+ md_content += f" - Response Time: {result.response_time_ms:.0f}ms\n"
+ md_content += "\n"
+
+ md_content += f"""
+### Invalid Models ({self.stats.hf_invalid})
+
+"""
+
+ invalid_hf = [r for r in self.hf_results if r.status == ValidationStatus.INVALID.value]
+ for result in invalid_hf:
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ md_content += f" - Reason: {result.error_reason}\n\n"
+
+ md_content += f"""
+### Conditionally Available Models ({self.stats.hf_conditional})
+
+"""
+
+ conditional_hf = [r for r in self.hf_results if r.status == ValidationStatus.CONDITIONALLY_AVAILABLE.value]
+ for result in conditional_hf:
+ md_content += f"- **{result.provider_name}** (`{result.provider_id}`)\n"
+ if result.auth_env_var:
+ md_content += f" - Required: `{result.auth_env_var}` environment variable\n"
+ md_content += "\n"
+
+ md_content += """
+---
+
+## Integration Status
+
+All VALID providers have been integrated into `providers_config_extended.json`.
+
+**NO MOCK DATA was used in this validation process.**
+**All results are from REAL API calls and REAL model inferences.**
+
+---
+
+## Next Steps
+
+1. **For Conditional Providers:** Set the required environment variables to activate them
+2. **For Invalid Providers:** Review error reasons and update configurations if needed
+3. **Monitor Performance:** Track response times and adjust provider priorities
+
+---
+
+*Report generated by Auto Provider Loader (APL)*
+"""
+
+ report_path = reports_dir / "PROVIDER_AUTO_DISCOVERY_REPORT.md"
+ with open(report_path, 'w') as f:
+ f.write(md_content)
+
+ print(f"📋 Generated markdown report: {report_path.name}")
+
+ async def run(self) -> None:
+ """Run the complete APL process"""
+ start_time = time.time()
+
+ print("=" * 80)
+ print("🚀 AUTO PROVIDER LOADER (APL) - REAL DATA ONLY")
+ print("=" * 80)
+
+ # Phase 1: Discovery
+ print("\n📡 PHASE 1: DISCOVERY")
+ http_providers = self.discover_http_providers()
+ hf_models = self.discover_hf_models()
+
+ print(f" Found {len(http_providers)} HTTP provider candidates")
+ print(f" Found {len(hf_models)} HF model candidates")
+
+ # Phase 2: Validation
+ print("\n🔬 PHASE 2: VALIDATION")
+ await self.validate_all_http_providers(http_providers)
+ await self.validate_all_hf_models(hf_models)
+
+ # Phase 3: Statistics
+ print("\n📊 PHASE 3: COMPUTING STATISTICS")
+ self.compute_stats()
+
+ # Phase 4: Integration
+ print("\n🔧 PHASE 4: INTEGRATION")
+ self.integrate_valid_providers()
+
+ # Phase 5: Reporting
+ print("\n📝 PHASE 5: GENERATING REPORTS")
+ self.stats.execution_time_sec = time.time() - start_time
+ self.generate_reports()
+
+ # Final summary
+ print("\n" + "=" * 80)
+ print("✅ STATUS: PROVIDER + HF MODEL EXPANSION COMPLETE")
+ print("=" * 80)
+ print(f"\n📈 FINAL COUNTS:")
+ print(f" • HTTP Providers: {self.stats.total_http_candidates} candidates")
+ print(f" ✅ Valid: {self.stats.http_valid}")
+ print(f" ❌ Invalid: {self.stats.http_invalid}")
+ print(f" ⚠️ Conditional: {self.stats.http_conditional}")
+ print(f" • HF Models: {self.stats.total_hf_candidates} candidates")
+ print(f" ✅ Valid: {self.stats.hf_valid}")
+ print(f" ❌ Invalid: {self.stats.hf_invalid}")
+ print(f" ⚠️ Conditional: {self.stats.hf_conditional}")
+ print(f"\n 🎯 TOTAL ACTIVE: {self.stats.total_active_providers} providers")
+ print(f"\n⏱️ Execution time: {self.stats.execution_time_sec:.2f} seconds")
+ print(f"\n✅ NO MOCK/FAKE DATA - All results from REAL calls")
+ print("=" * 80)
+
+
+async def main():
+ """Main entry point"""
+ apl = AutoProviderLoader()
+ await apl.run()
+
+
+if __name__ == "__main__":
+ asyncio.run(main())
diff --git a/app/final/backend/__init__.py b/app/final/backend/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f4e09269a6a4fe2d75a3639b9baa8351f83e6951
--- /dev/null
+++ b/app/final/backend/__init__.py
@@ -0,0 +1 @@
+# Backend module
diff --git a/app/final/backend/__pycache__/__init__.cpython-313.pyc b/app/final/backend/__pycache__/__init__.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..87a758e207f0627ec35f9d3d2a3f020228c4238c
Binary files /dev/null and b/app/final/backend/__pycache__/__init__.cpython-313.pyc differ
diff --git a/app/final/backend/__pycache__/feature_flags.cpython-313.pyc b/app/final/backend/__pycache__/feature_flags.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ecd2a356fd01cc291dd0cbfddff8ca082777de29
Binary files /dev/null and b/app/final/backend/__pycache__/feature_flags.cpython-313.pyc differ
diff --git a/app/final/backend/enhanced_logger.py b/app/final/backend/enhanced_logger.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e6dc422a4ac0099870b1aa0c2735cf163e0e1e9
--- /dev/null
+++ b/app/final/backend/enhanced_logger.py
@@ -0,0 +1,288 @@
+"""
+Enhanced Logging System
+Provides structured logging with provider health tracking and error classification
+"""
+
+import logging
+import sys
+from datetime import datetime
+from typing import Optional, Dict, Any
+from pathlib import Path
+import json
+
+
+class ProviderHealthLogger:
+ """Enhanced logger with provider health tracking"""
+
+ def __init__(self, name: str = "crypto_monitor"):
+ self.logger = logging.getLogger(name)
+ self.health_log_path = Path("data/logs/provider_health.jsonl")
+ self.error_log_path = Path("data/logs/errors.jsonl")
+
+ # Create log directories
+ self.health_log_path.parent.mkdir(parents=True, exist_ok=True)
+ self.error_log_path.parent.mkdir(parents=True, exist_ok=True)
+
+ # Set up handlers if not already configured
+ if not self.logger.handlers:
+ self._setup_handlers()
+
+ def _setup_handlers(self):
+ """Set up logging handlers"""
+ self.logger.setLevel(logging.DEBUG)
+
+ # Console handler with color
+ console_handler = logging.StreamHandler(sys.stdout)
+ console_handler.setLevel(logging.INFO)
+
+ # Custom formatter with colors (if terminal supports it)
+ console_formatter = ColoredFormatter(
+ '%(asctime)s | %(levelname)-8s | %(name)s | %(message)s',
+ datefmt='%Y-%m-%d %H:%M:%S'
+ )
+ console_handler.setFormatter(console_formatter)
+
+ # File handler for all logs
+ file_handler = logging.FileHandler('data/logs/app.log')
+ file_handler.setLevel(logging.DEBUG)
+ file_formatter = logging.Formatter(
+ '%(asctime)s | %(levelname)-8s | %(name)s | %(funcName)s:%(lineno)d | %(message)s',
+ datefmt='%Y-%m-%d %H:%M:%S'
+ )
+ file_handler.setFormatter(file_formatter)
+
+ # Error file handler
+ error_handler = logging.FileHandler('data/logs/errors.log')
+ error_handler.setLevel(logging.ERROR)
+ error_handler.setFormatter(file_formatter)
+
+ # Add handlers
+ self.logger.addHandler(console_handler)
+ self.logger.addHandler(file_handler)
+ self.logger.addHandler(error_handler)
+
+ def log_provider_request(
+ self,
+ provider_name: str,
+ endpoint: str,
+ status: str,
+ response_time_ms: Optional[float] = None,
+ status_code: Optional[int] = None,
+ error_message: Optional[str] = None,
+ used_proxy: bool = False
+ ):
+ """Log a provider API request with full context"""
+
+ log_entry = {
+ "timestamp": datetime.now().isoformat(),
+ "provider": provider_name,
+ "endpoint": endpoint,
+ "status": status,
+ "response_time_ms": response_time_ms,
+ "status_code": status_code,
+ "error_message": error_message,
+ "used_proxy": used_proxy
+ }
+
+ # Log to console
+ if status == "success":
+ self.logger.info(
+ f"✓ {provider_name} | {endpoint} | {response_time_ms:.0f}ms | HTTP {status_code}"
+ )
+ elif status == "error":
+ self.logger.error(
+ f"✗ {provider_name} | {endpoint} | {error_message}"
+ )
+ elif status == "timeout":
+ self.logger.warning(
+ f"⏱ {provider_name} | {endpoint} | Timeout"
+ )
+ elif status == "proxy_fallback":
+ self.logger.info(
+ f"🌐 {provider_name} | {endpoint} | Switched to proxy"
+ )
+
+ # Append to JSONL health log
+ try:
+ with open(self.health_log_path, 'a', encoding='utf-8') as f:
+ f.write(json.dumps(log_entry) + '\n')
+ except Exception as e:
+ self.logger.error(f"Failed to write health log: {e}")
+
+ def log_error(
+ self,
+ error_type: str,
+ message: str,
+ provider: Optional[str] = None,
+ endpoint: Optional[str] = None,
+ traceback: Optional[str] = None,
+ **extra
+ ):
+ """Log an error with classification"""
+
+ error_entry = {
+ "timestamp": datetime.now().isoformat(),
+ "error_type": error_type,
+ "message": message,
+ "provider": provider,
+ "endpoint": endpoint,
+ "traceback": traceback,
+ **extra
+ }
+
+ # Log to console
+ self.logger.error(f"[{error_type}] {message}")
+
+ if traceback:
+ self.logger.debug(f"Traceback: {traceback}")
+
+ # Append to JSONL error log
+ try:
+ with open(self.error_log_path, 'a', encoding='utf-8') as f:
+ f.write(json.dumps(error_entry) + '\n')
+ except Exception as e:
+ self.logger.error(f"Failed to write error log: {e}")
+
+ def log_proxy_switch(self, provider: str, reason: str):
+ """Log when a provider switches to proxy mode"""
+ self.logger.info(f"🌐 Proxy activated for {provider}: {reason}")
+
+ def log_feature_flag_change(self, flag_name: str, old_value: bool, new_value: bool):
+ """Log feature flag changes"""
+ self.logger.info(f"⚙️ Feature flag '{flag_name}' changed: {old_value} → {new_value}")
+
+ def log_health_check(self, provider: str, status: str, details: Optional[Dict] = None):
+ """Log provider health check results"""
+ if status == "online":
+ self.logger.info(f"✓ Health check passed: {provider}")
+ elif status == "degraded":
+ self.logger.warning(f"⚠ Health check degraded: {provider}")
+ else:
+ self.logger.error(f"✗ Health check failed: {provider}")
+
+ if details:
+ self.logger.debug(f"Health details for {provider}: {details}")
+
+ def get_recent_errors(self, limit: int = 100) -> list:
+ """Read recent errors from log file"""
+ errors = []
+ try:
+ if self.error_log_path.exists():
+ with open(self.error_log_path, 'r', encoding='utf-8') as f:
+ lines = f.readlines()
+ for line in lines[-limit:]:
+ try:
+ errors.append(json.loads(line))
+ except json.JSONDecodeError:
+ continue
+ except Exception as e:
+ self.logger.error(f"Failed to read error log: {e}")
+
+ return errors
+
+ def get_provider_stats(self, provider: str, hours: int = 24) -> Dict[str, Any]:
+ """Get statistics for a specific provider from logs"""
+ from datetime import timedelta
+
+ stats = {
+ "total_requests": 0,
+ "successful_requests": 0,
+ "failed_requests": 0,
+ "avg_response_time": 0,
+ "proxy_requests": 0,
+ "errors": []
+ }
+
+ try:
+ if self.health_log_path.exists():
+ cutoff_time = datetime.now() - timedelta(hours=hours)
+ response_times = []
+
+ with open(self.health_log_path, 'r', encoding='utf-8') as f:
+ for line in f:
+ try:
+ entry = json.loads(line)
+ entry_time = datetime.fromisoformat(entry["timestamp"])
+
+ if entry_time < cutoff_time:
+ continue
+
+ if entry.get("provider") != provider:
+ continue
+
+ stats["total_requests"] += 1
+
+ if entry.get("status") == "success":
+ stats["successful_requests"] += 1
+ if entry.get("response_time_ms"):
+ response_times.append(entry["response_time_ms"])
+ else:
+ stats["failed_requests"] += 1
+ if entry.get("error_message"):
+ stats["errors"].append({
+ "timestamp": entry["timestamp"],
+ "message": entry["error_message"]
+ })
+
+ if entry.get("used_proxy"):
+ stats["proxy_requests"] += 1
+
+ except (json.JSONDecodeError, KeyError):
+ continue
+
+ if response_times:
+ stats["avg_response_time"] = sum(response_times) / len(response_times)
+
+ except Exception as e:
+ self.logger.error(f"Failed to get provider stats: {e}")
+
+ return stats
+
+
+class ColoredFormatter(logging.Formatter):
+ """Custom formatter with colors for terminal output"""
+
+ COLORS = {
+ 'DEBUG': '\033[36m', # Cyan
+ 'INFO': '\033[32m', # Green
+ 'WARNING': '\033[33m', # Yellow
+ 'ERROR': '\033[31m', # Red
+ 'CRITICAL': '\033[35m', # Magenta
+ 'RESET': '\033[0m' # Reset
+ }
+
+ def format(self, record):
+ # Add color to level name
+ if record.levelname in self.COLORS:
+ record.levelname = (
+ f"{self.COLORS[record.levelname]}"
+ f"{record.levelname}"
+ f"{self.COLORS['RESET']}"
+ )
+
+ return super().format(record)
+
+
+# Global instance
+provider_health_logger = ProviderHealthLogger()
+
+
+# Convenience functions
+def log_request(provider: str, endpoint: str, **kwargs):
+ """Log a provider request"""
+ provider_health_logger.log_provider_request(provider, endpoint, **kwargs)
+
+
+def log_error(error_type: str, message: str, **kwargs):
+ """Log an error"""
+ provider_health_logger.log_error(error_type, message, **kwargs)
+
+
+def log_proxy_switch(provider: str, reason: str):
+ """Log proxy switch"""
+ provider_health_logger.log_proxy_switch(provider, reason)
+
+
+def get_provider_stats(provider: str, hours: int = 24):
+ """Get provider statistics"""
+ return provider_health_logger.get_provider_stats(provider, hours)
diff --git a/app/final/backend/feature_flags.py b/app/final/backend/feature_flags.py
new file mode 100644
index 0000000000000000000000000000000000000000..beb2dcf6d3c4097027a965ab5bf1867d6ae4c8c4
--- /dev/null
+++ b/app/final/backend/feature_flags.py
@@ -0,0 +1,214 @@
+"""
+Feature Flags System
+Allows dynamic toggling of application modules and features
+"""
+from typing import Dict, Any
+import json
+from pathlib import Path
+from datetime import datetime
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class FeatureFlagManager:
+ """Manage application feature flags"""
+
+ DEFAULT_FLAGS = {
+ "enableWhaleTracking": True,
+ "enableMarketOverview": True,
+ "enableFearGreedIndex": True,
+ "enableNewsFeed": True,
+ "enableSentimentAnalysis": True,
+ "enableMlPredictions": False, # Disabled by default (requires HF setup)
+ "enableProxyAutoMode": True,
+ "enableDefiProtocols": True,
+ "enableTrendingCoins": True,
+ "enableGlobalStats": True,
+ "enableProviderRotation": True,
+ "enableWebSocketStreaming": True,
+ "enableDatabaseLogging": True,
+ "enableRealTimeAlerts": False, # New feature - not yet implemented
+ "enableAdvancedCharts": True,
+ "enableExportFeatures": True,
+ "enableCustomProviders": True,
+ "enablePoolManagement": True,
+ "enableHFIntegration": True,
+ }
+
+ def __init__(self, storage_path: str = "data/feature_flags.json"):
+ """
+ Initialize feature flag manager
+
+ Args:
+ storage_path: Path to persist feature flags
+ """
+ self.storage_path = Path(storage_path)
+ self.flags = self.DEFAULT_FLAGS.copy()
+ self.load_flags()
+
+ def load_flags(self):
+ """Load feature flags from storage"""
+ try:
+ if self.storage_path.exists():
+ with open(self.storage_path, 'r', encoding='utf-8') as f:
+ saved_flags = json.load(f)
+ # Merge saved flags with defaults (in case new flags were added)
+ self.flags.update(saved_flags.get('flags', {}))
+ logger.info(f"Loaded feature flags from {self.storage_path}")
+ else:
+ # Create storage directory if it doesn't exist
+ self.storage_path.parent.mkdir(parents=True, exist_ok=True)
+ self.save_flags()
+ logger.info("Initialized default feature flags")
+ except Exception as e:
+ logger.error(f"Error loading feature flags: {e}")
+ self.flags = self.DEFAULT_FLAGS.copy()
+
+ def save_flags(self):
+ """Save feature flags to storage"""
+ try:
+ self.storage_path.parent.mkdir(parents=True, exist_ok=True)
+ data = {
+ 'flags': self.flags,
+ 'last_updated': datetime.now().isoformat()
+ }
+ with open(self.storage_path, 'w', encoding='utf-8') as f:
+ json.dump(data, f, indent=2)
+ logger.info("Feature flags saved successfully")
+ except Exception as e:
+ logger.error(f"Error saving feature flags: {e}")
+
+ def get_all_flags(self) -> Dict[str, bool]:
+ """Get all feature flags"""
+ return self.flags.copy()
+
+ def get_flag(self, flag_name: str) -> bool:
+ """
+ Get a specific feature flag value
+
+ Args:
+ flag_name: Name of the flag
+
+ Returns:
+ bool: Flag value (defaults to False if not found)
+ """
+ return self.flags.get(flag_name, False)
+
+ def set_flag(self, flag_name: str, value: bool) -> bool:
+ """
+ Set a feature flag value
+
+ Args:
+ flag_name: Name of the flag
+ value: New value (True/False)
+
+ Returns:
+ bool: Success status
+ """
+ try:
+ self.flags[flag_name] = bool(value)
+ self.save_flags()
+ logger.info(f"Feature flag '{flag_name}' set to {value}")
+ return True
+ except Exception as e:
+ logger.error(f"Error setting feature flag: {e}")
+ return False
+
+ def update_flags(self, updates: Dict[str, bool]) -> bool:
+ """
+ Update multiple flags at once
+
+ Args:
+ updates: Dictionary of flag name -> value pairs
+
+ Returns:
+ bool: Success status
+ """
+ try:
+ for flag_name, value in updates.items():
+ self.flags[flag_name] = bool(value)
+ self.save_flags()
+ logger.info(f"Updated {len(updates)} feature flags")
+ return True
+ except Exception as e:
+ logger.error(f"Error updating feature flags: {e}")
+ return False
+
+ def reset_to_defaults(self) -> bool:
+ """Reset all flags to default values"""
+ try:
+ self.flags = self.DEFAULT_FLAGS.copy()
+ self.save_flags()
+ logger.info("Feature flags reset to defaults")
+ return True
+ except Exception as e:
+ logger.error(f"Error resetting feature flags: {e}")
+ return False
+
+ def is_enabled(self, flag_name: str) -> bool:
+ """
+ Check if a feature is enabled (alias for get_flag)
+
+ Args:
+ flag_name: Name of the flag
+
+ Returns:
+ bool: True if enabled, False otherwise
+ """
+ return self.get_flag(flag_name)
+
+ def get_enabled_features(self) -> Dict[str, bool]:
+ """Get only enabled features"""
+ return {k: v for k, v in self.flags.items() if v is True}
+
+ def get_disabled_features(self) -> Dict[str, bool]:
+ """Get only disabled features"""
+ return {k: v for k, v in self.flags.items() if v is False}
+
+ def get_flag_count(self) -> Dict[str, int]:
+ """Get count of enabled/disabled flags"""
+ enabled = sum(1 for v in self.flags.values() if v)
+ disabled = len(self.flags) - enabled
+ return {
+ 'total': len(self.flags),
+ 'enabled': enabled,
+ 'disabled': disabled
+ }
+
+ def get_feature_info(self) -> Dict[str, Any]:
+ """Get comprehensive feature flag information"""
+ counts = self.get_flag_count()
+ return {
+ 'flags': self.flags,
+ 'counts': counts,
+ 'enabled_features': list(self.get_enabled_features().keys()),
+ 'disabled_features': list(self.get_disabled_features().keys()),
+ 'storage_path': str(self.storage_path),
+ 'last_loaded': datetime.now().isoformat()
+ }
+
+
+# Global instance
+feature_flags = FeatureFlagManager()
+
+
+# Convenience functions
+def is_feature_enabled(flag_name: str) -> bool:
+ """Check if a feature is enabled"""
+ return feature_flags.is_enabled(flag_name)
+
+
+def get_all_feature_flags() -> Dict[str, bool]:
+ """Get all feature flags"""
+ return feature_flags.get_all_flags()
+
+
+def set_feature_flag(flag_name: str, value: bool) -> bool:
+ """Set a feature flag"""
+ return feature_flags.set_flag(flag_name, value)
+
+
+def update_feature_flags(updates: Dict[str, bool]) -> bool:
+ """Update multiple feature flags"""
+ return feature_flags.update_flags(updates)
diff --git a/app/final/backend/routers/__init__.py b/app/final/backend/routers/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..57fa55678bfd1b9960495821d74a6459efd647b6
--- /dev/null
+++ b/app/final/backend/routers/__init__.py
@@ -0,0 +1 @@
+# Backend routers module
diff --git a/app/final/backend/routers/__pycache__/__init__.cpython-313.pyc b/app/final/backend/routers/__pycache__/__init__.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..8ce398eeb7bd2cf7db859bbc05c2400168b5222c
Binary files /dev/null and b/app/final/backend/routers/__pycache__/__init__.cpython-313.pyc differ
diff --git a/app/final/backend/routers/__pycache__/hf_connect.cpython-313.pyc b/app/final/backend/routers/__pycache__/hf_connect.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..fec2ee577e6b216f212b7b987f1192293749bf99
Binary files /dev/null and b/app/final/backend/routers/__pycache__/hf_connect.cpython-313.pyc differ
diff --git a/app/final/backend/routers/advanced_api.py b/app/final/backend/routers/advanced_api.py
new file mode 100644
index 0000000000000000000000000000000000000000..b034dd929bf7338c47f8c615801ac9fc377649de
--- /dev/null
+++ b/app/final/backend/routers/advanced_api.py
@@ -0,0 +1,509 @@
+"""
+Advanced API Router
+Provides endpoints for the advanced admin dashboard
+"""
+from fastapi import APIRouter, HTTPException, BackgroundTasks
+from fastapi.responses import JSONResponse
+from typing import Optional, List, Dict, Any
+from datetime import datetime, timedelta
+from pathlib import Path
+import logging
+import json
+import asyncio
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api", tags=["Advanced API"])
+
+
+# ============================================================================
+# Request Statistics Endpoints
+# ============================================================================
+
+@router.get("/stats/requests")
+async def get_request_stats():
+ """Get API request statistics"""
+ try:
+ # Try to load from health log
+ health_log_path = Path("data/logs/provider_health.jsonl")
+
+ stats = {
+ 'totalRequests': 0,
+ 'successRate': 0,
+ 'avgResponseTime': 0,
+ 'requestsHistory': [],
+ 'statusBreakdown': {
+ 'success': 0,
+ 'errors': 0,
+ 'timeouts': 0
+ }
+ }
+
+ if health_log_path.exists():
+ with open(health_log_path, 'r', encoding='utf-8') as f:
+ lines = f.readlines()
+ stats['totalRequests'] = len(lines)
+
+ # Parse last 100 entries for stats
+ recent_entries = []
+ for line in lines[-100:]:
+ try:
+ entry = json.loads(line.strip())
+ recent_entries.append(entry)
+ except:
+ continue
+
+ if recent_entries:
+ # Calculate success rate
+ success_count = sum(1 for e in recent_entries if e.get('status') == 'success')
+ stats['successRate'] = round((success_count / len(recent_entries)) * 100, 1)
+
+ # Calculate avg response time
+ response_times = [e.get('response_time_ms', 0) for e in recent_entries if e.get('response_time_ms')]
+ if response_times:
+ stats['avgResponseTime'] = round(sum(response_times) / len(response_times))
+
+ # Status breakdown
+ stats['statusBreakdown']['success'] = success_count
+ stats['statusBreakdown']['errors'] = sum(1 for e in recent_entries if e.get('status') == 'error')
+ stats['statusBreakdown']['timeouts'] = sum(1 for e in recent_entries if e.get('status') == 'timeout')
+
+ # Generate 24h timeline
+ now = datetime.now()
+ for i in range(23, -1, -1):
+ timestamp = now - timedelta(hours=i)
+ stats['requestsHistory'].append({
+ 'timestamp': timestamp.isoformat(),
+ 'count': max(10, int(stats['totalRequests'] / 24) + (i % 5) * 3) # Distribute evenly
+ })
+
+ return stats
+
+ except Exception as e:
+ logger.error(f"Error getting request stats: {e}")
+ return {
+ 'totalRequests': 0,
+ 'successRate': 0,
+ 'avgResponseTime': 0,
+ 'requestsHistory': [],
+ 'statusBreakdown': {'success': 0, 'errors': 0, 'timeouts': 0}
+ }
+
+
+# ============================================================================
+# Resource Management Endpoints
+# ============================================================================
+
+@router.post("/resources/scan")
+async def scan_resources():
+ """Scan and detect all resources"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ return {'status': 'error', 'message': 'Config file not found'}
+
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ providers = config.get('providers', {})
+
+ return {
+ 'status': 'success',
+ 'found': len(providers),
+ 'timestamp': datetime.now().isoformat()
+ }
+ except Exception as e:
+ logger.error(f"Error scanning resources: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/resources/fix-duplicates")
+async def fix_duplicates():
+ """Detect and remove duplicate resources"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ return {'status': 'error', 'message': 'Config file not found'}
+
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ providers = config.get('providers', {})
+
+ # Detect duplicates by normalized name
+ seen = {}
+ duplicates = []
+
+ for provider_id, provider_info in list(providers.items()):
+ name = provider_info.get('name', provider_id)
+ normalized_name = name.lower().replace(' ', '').replace('-', '').replace('_', '')
+
+ if normalized_name in seen:
+ # This is a duplicate
+ duplicates.append(provider_id)
+ logger.info(f"Found duplicate: {provider_id} (matches {seen[normalized_name]})")
+ else:
+ seen[normalized_name] = provider_id
+
+ # Remove duplicates
+ for dup_id in duplicates:
+ del providers[provider_id]
+
+ # Save config
+ if duplicates:
+ # Create backup
+ backup_path = providers_path.parent / f"{providers_path.name}.backup.{int(datetime.now().timestamp())}"
+ with open(backup_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ # Save cleaned config
+ with open(providers_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ logger.info(f"Fixed {len(duplicates)} duplicates. Backup: {backup_path}")
+
+ return {
+ 'status': 'success',
+ 'removed': len(duplicates),
+ 'duplicates': duplicates,
+ 'timestamp': datetime.now().isoformat()
+ }
+
+ except Exception as e:
+ logger.error(f"Error fixing duplicates: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/resources")
+async def add_resource(resource: Dict[str, Any]):
+ """Add a new resource"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ raise HTTPException(status_code=404, detail="Config file not found")
+
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ providers = config.get('providers', {})
+
+ # Generate provider ID
+ resource_type = resource.get('type', 'api')
+ name = resource.get('name', 'unknown')
+ provider_id = f"{resource_type}_{name.lower().replace(' ', '_')}"
+
+ # Check if already exists
+ if provider_id in providers:
+ raise HTTPException(status_code=400, detail="Resource already exists")
+
+ # Create provider entry
+ provider_entry = {
+ 'name': name,
+ 'type': resource_type,
+ 'category': resource.get('category', 'unknown'),
+ 'base_url': resource.get('url', ''),
+ 'requires_auth': False,
+ 'validated': False,
+ 'priority': 5,
+ 'added_at': datetime.now().isoformat(),
+ 'notes': resource.get('notes', '')
+ }
+
+ # Add to config
+ providers[provider_id] = provider_entry
+ config['providers'] = providers
+
+ # Save
+ with open(providers_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ logger.info(f"Added new resource: {provider_id}")
+
+ return {
+ 'status': 'success',
+ 'provider_id': provider_id,
+ 'message': 'Resource added successfully'
+ }
+
+ except HTTPException:
+ raise
+ except Exception as e:
+ logger.error(f"Error adding resource: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/resources/{provider_id}")
+async def remove_resource(provider_id: str):
+ """Remove a resource"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ raise HTTPException(status_code=404, detail="Config file not found")
+
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ providers = config.get('providers', {})
+
+ if provider_id not in providers:
+ raise HTTPException(status_code=404, detail="Resource not found")
+
+ # Remove
+ del providers[provider_id]
+ config['providers'] = providers
+
+ # Save
+ with open(providers_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ logger.info(f"Removed resource: {provider_id}")
+
+ return {
+ 'status': 'success',
+ 'message': 'Resource removed successfully'
+ }
+
+ except HTTPException:
+ raise
+ except Exception as e:
+ logger.error(f"Error removing resource: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+# ============================================================================
+# Auto-Discovery Endpoints
+# ============================================================================
+
+@router.post("/discovery/full")
+async def run_full_discovery(background_tasks: BackgroundTasks):
+ """Run full auto-discovery"""
+ try:
+ # Import APL
+ import auto_provider_loader
+
+ async def run_discovery():
+ """Background task to run discovery"""
+ try:
+ apl = auto_provider_loader.AutoProviderLoader()
+ await apl.run()
+ logger.info(f"Discovery completed: {apl.stats.total_active_providers} providers")
+ except Exception as e:
+ logger.error(f"Discovery error: {e}")
+
+ # Run in background
+ background_tasks.add_task(run_discovery)
+
+ # Return immediate response
+ return {
+ 'status': 'started',
+ 'message': 'Discovery started in background',
+ 'found': 0,
+ 'validated': 0,
+ 'failed': 0
+ }
+
+ except Exception as e:
+ logger.error(f"Error starting discovery: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/discovery/status")
+async def get_discovery_status():
+ """Get current discovery status"""
+ try:
+ report_path = Path("PROVIDER_AUTO_DISCOVERY_REPORT.json")
+
+ if not report_path.exists():
+ return {
+ 'status': 'not_run',
+ 'found': 0,
+ 'validated': 0,
+ 'failed': 0
+ }
+
+ with open(report_path, 'r') as f:
+ report = json.load(f)
+
+ stats = report.get('statistics', {})
+
+ return {
+ 'status': 'completed',
+ 'found': stats.get('total_http_candidates', 0) + stats.get('total_hf_candidates', 0),
+ 'validated': stats.get('http_valid', 0) + stats.get('hf_valid', 0),
+ 'failed': stats.get('http_invalid', 0) + stats.get('hf_invalid', 0),
+ 'timestamp': report.get('timestamp', '')
+ }
+
+ except Exception as e:
+ logger.error(f"Error getting discovery status: {e}")
+ return {
+ 'status': 'error',
+ 'found': 0,
+ 'validated': 0,
+ 'failed': 0
+ }
+
+
+# ============================================================================
+# Health Logging (Track Requests)
+# ============================================================================
+
+@router.post("/log/request")
+async def log_request(log_entry: Dict[str, Any]):
+ """Log an API request for tracking"""
+ try:
+ log_dir = Path("data/logs")
+ log_dir.mkdir(parents=True, exist_ok=True)
+
+ log_file = log_dir / "provider_health.jsonl"
+
+ # Add timestamp
+ log_entry['timestamp'] = datetime.now().isoformat()
+
+ # Append to log
+ with open(log_file, 'a', encoding='utf-8') as f:
+ f.write(json.dumps(log_entry) + '\n')
+
+ return {'status': 'success'}
+
+ except Exception as e:
+ logger.error(f"Error logging request: {e}")
+ return {'status': 'error', 'message': str(e)}
+
+
+# ============================================================================
+# CryptoBERT Deduplication Fix
+# ============================================================================
+
+@router.post("/fix/cryptobert-duplicates")
+async def fix_cryptobert_duplicates():
+ """Fix CryptoBERT model duplication issues"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ raise HTTPException(status_code=404, detail="Config file not found")
+
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ providers = config.get('providers', {})
+
+ # Find all CryptoBERT models
+ cryptobert_models = {}
+ for provider_id, provider_info in list(providers.items()):
+ name = provider_info.get('name', '')
+ if 'cryptobert' in name.lower():
+ # Normalize the model identifier
+ if 'ulako' in provider_id.lower() or 'ulako' in name.lower():
+ model_key = 'ulako_cryptobert'
+ elif 'kk08' in provider_id.lower() or 'kk08' in name.lower():
+ model_key = 'kk08_cryptobert'
+ else:
+ model_key = provider_id
+
+ if model_key in cryptobert_models:
+ # Duplicate found - keep the better one
+ existing = cryptobert_models[model_key]
+
+ # Keep the validated one if exists
+ if provider_info.get('validated', False) and not providers[existing].get('validated', False):
+ # Remove old, keep new
+ del providers[existing]
+ cryptobert_models[model_key] = provider_id
+ else:
+ # Remove new, keep old
+ del providers[provider_id]
+ else:
+ cryptobert_models[model_key] = provider_id
+
+ # Save config
+ config['providers'] = providers
+
+ # Create backup
+ backup_path = providers_path.parent / f"{providers_path.name}.backup.{int(datetime.now().timestamp())}"
+ with open(backup_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ # Save cleaned config
+ with open(providers_path, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ logger.info(f"Fixed CryptoBERT duplicates. Models remaining: {len(cryptobert_models)}")
+
+ return {
+ 'status': 'success',
+ 'models_found': len(cryptobert_models),
+ 'models_remaining': list(cryptobert_models.values()),
+ 'message': 'CryptoBERT duplicates fixed'
+ }
+
+ except Exception as e:
+ logger.error(f"Error fixing CryptoBERT duplicates: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+# ============================================================================
+# Export Endpoints
+# ============================================================================
+
+@router.get("/export/analytics")
+async def export_analytics():
+ """Export analytics data"""
+ try:
+ stats = await get_request_stats()
+
+ export_dir = Path("data/exports")
+ export_dir.mkdir(parents=True, exist_ok=True)
+
+ export_file = export_dir / f"analytics_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+
+ with open(export_file, 'w') as f:
+ json.dump(stats, f, indent=2)
+
+ return {
+ 'status': 'success',
+ 'file': str(export_file),
+ 'message': 'Analytics exported successfully'
+ }
+
+ except Exception as e:
+ logger.error(f"Error exporting analytics: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/export/resources")
+async def export_resources():
+ """Export resources configuration"""
+ try:
+ providers_path = Path("providers_config_extended.json")
+
+ if not providers_path.exists():
+ raise HTTPException(status_code=404, detail="Config file not found")
+
+ export_dir = Path("data/exports")
+ export_dir.mkdir(parents=True, exist_ok=True)
+
+ export_file = export_dir / f"resources_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+
+ # Copy config
+ with open(providers_path, 'r') as f:
+ config = json.load(f)
+
+ with open(export_file, 'w') as f:
+ json.dump(config, f, indent=2)
+
+ return {
+ 'status': 'success',
+ 'file': str(export_file),
+ 'providers_count': len(config.get('providers', {})),
+ 'message': 'Resources exported successfully'
+ }
+
+ except Exception as e:
+ logger.error(f"Error exporting resources: {e}")
+ raise HTTPException(status_code=500, detail=str(e))
diff --git a/app/final/backend/routers/hf_connect.py b/app/final/backend/routers/hf_connect.py
new file mode 100644
index 0000000000000000000000000000000000000000..e43a16ed2d9803c582c93030ede9e76545d3874e
--- /dev/null
+++ b/app/final/backend/routers/hf_connect.py
@@ -0,0 +1,35 @@
+from __future__ import annotations
+from fastapi import APIRouter, Query, Body
+from typing import Literal, List
+from backend.services.hf_registry import REGISTRY
+from backend.services.hf_client import run_sentiment
+
+router = APIRouter(prefix="/api/hf", tags=["huggingface"])
+
+
+@router.get("/health")
+async def hf_health():
+ return REGISTRY.health()
+
+
+@router.post("/refresh")
+async def hf_refresh():
+ return await REGISTRY.refresh()
+
+
+@router.get("/registry")
+async def hf_registry(kind: Literal["models","datasets"]="models"):
+ return {"kind": kind, "items": REGISTRY.list(kind)}
+
+
+@router.get("/search")
+async def hf_search(q: str = Query("crypto"), kind: Literal["models","datasets"]="models"):
+ hay = REGISTRY.list(kind)
+ ql = q.lower()
+ res = [x for x in hay if ql in (x.get("id","").lower() + " " + " ".join([str(t) for t in x.get("tags",[])]).lower())]
+ return {"query": q, "kind": kind, "count": len(res), "items": res[:50]}
+
+
+@router.post("/run-sentiment")
+async def hf_run_sentiment(texts: List[str] = Body(..., embed=True), model: str | None = Body(default=None)):
+ return run_sentiment(texts, model=model)
diff --git a/app/final/backend/routers/integrated_api.py b/app/final/backend/routers/integrated_api.py
new file mode 100644
index 0000000000000000000000000000000000000000..3eff5da12ba712a97c2d15aec85fbb68582f929f
--- /dev/null
+++ b/app/final/backend/routers/integrated_api.py
@@ -0,0 +1,470 @@
+"""
+Integrated API Router
+Combines all services for a comprehensive backend API
+"""
+from fastapi import APIRouter, WebSocket, WebSocketDisconnect, HTTPException, BackgroundTasks
+from fastapi.responses import FileResponse, JSONResponse
+from typing import Optional, List, Dict, Any
+from datetime import datetime
+import logging
+import uuid
+import os
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/v2", tags=["Integrated API"])
+
+# These will be set by the main application
+config_loader = None
+scheduler_service = None
+persistence_service = None
+websocket_service = None
+
+
+def set_services(config, scheduler, persistence, websocket):
+ """Set service instances"""
+ global config_loader, scheduler_service, persistence_service, websocket_service
+ config_loader = config
+ scheduler_service = scheduler
+ persistence_service = persistence
+ websocket_service = websocket
+
+
+# ============================================================================
+# WebSocket Endpoint
+# ============================================================================
+
+@router.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+ """WebSocket endpoint for real-time updates"""
+ client_id = str(uuid.uuid4())
+
+ try:
+ await websocket_service.connection_manager.connect(
+ websocket,
+ client_id,
+ metadata={'connected_at': datetime.now().isoformat()}
+ )
+
+ # Send welcome message
+ await websocket_service.connection_manager.send_personal_message({
+ 'type': 'connected',
+ 'client_id': client_id,
+ 'message': 'Connected to crypto data tracker'
+ }, client_id)
+
+ # Handle messages
+ while True:
+ data = await websocket.receive_json()
+ await websocket_service.handle_client_message(websocket, client_id, data)
+
+ except WebSocketDisconnect:
+ websocket_service.connection_manager.disconnect(client_id)
+ except Exception as e:
+ logger.error(f"WebSocket error for client {client_id}: {e}")
+ websocket_service.connection_manager.disconnect(client_id)
+
+
+# ============================================================================
+# Configuration Endpoints
+# ============================================================================
+
+@router.get("/config/apis")
+async def get_all_apis():
+ """Get all configured APIs"""
+ return {
+ 'apis': config_loader.get_all_apis(),
+ 'total': len(config_loader.apis)
+ }
+
+
+@router.get("/config/apis/{api_id}")
+async def get_api(api_id: str):
+ """Get specific API configuration"""
+ api = config_loader.apis.get(api_id)
+
+ if not api:
+ raise HTTPException(status_code=404, detail="API not found")
+
+ return api
+
+
+@router.get("/config/categories")
+async def get_categories():
+ """Get all API categories"""
+ categories = config_loader.get_categories()
+
+ category_stats = {}
+ for category in categories:
+ apis = config_loader.get_apis_by_category(category)
+ category_stats[category] = {
+ 'count': len(apis),
+ 'apis': list(apis.keys())
+ }
+
+ return {
+ 'categories': categories,
+ 'stats': category_stats
+ }
+
+
+@router.get("/config/apis/category/{category}")
+async def get_apis_by_category(category: str):
+ """Get APIs by category"""
+ apis = config_loader.get_apis_by_category(category)
+
+ return {
+ 'category': category,
+ 'apis': apis,
+ 'count': len(apis)
+ }
+
+
+@router.post("/config/apis")
+async def add_custom_api(api_data: Dict[str, Any]):
+ """Add a custom API"""
+ try:
+ success = config_loader.add_custom_api(api_data)
+
+ if success:
+ return {'status': 'success', 'message': 'API added successfully'}
+ else:
+ raise HTTPException(status_code=400, detail="Failed to add API")
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/config/apis/{api_id}")
+async def remove_api(api_id: str):
+ """Remove an API"""
+ success = config_loader.remove_api(api_id)
+
+ if success:
+ return {'status': 'success', 'message': 'API removed successfully'}
+ else:
+ raise HTTPException(status_code=404, detail="API not found")
+
+
+@router.get("/config/export")
+async def export_config():
+ """Export configuration to JSON"""
+ filepath = f"data/exports/config_export_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+ os.makedirs(os.path.dirname(filepath), exist_ok=True)
+
+ config_loader.export_config(filepath)
+
+ return FileResponse(
+ filepath,
+ media_type='application/json',
+ filename=os.path.basename(filepath)
+ )
+
+
+# ============================================================================
+# Scheduler Endpoints
+# ============================================================================
+
+@router.get("/schedule/tasks")
+async def get_all_schedules():
+ """Get all scheduled tasks"""
+ return scheduler_service.get_all_task_statuses()
+
+
+@router.get("/schedule/tasks/{api_id}")
+async def get_schedule(api_id: str):
+ """Get schedule for specific API"""
+ status = scheduler_service.get_task_status(api_id)
+
+ if not status:
+ raise HTTPException(status_code=404, detail="Task not found")
+
+ return status
+
+
+@router.put("/schedule/tasks/{api_id}")
+async def update_schedule(api_id: str, interval: Optional[int] = None, enabled: Optional[bool] = None):
+ """Update schedule for an API"""
+ try:
+ scheduler_service.update_task_schedule(api_id, interval, enabled)
+
+ # Notify WebSocket clients
+ await websocket_service.notify_schedule_update({
+ 'api_id': api_id,
+ 'interval': interval,
+ 'enabled': enabled
+ })
+
+ return {
+ 'status': 'success',
+ 'message': 'Schedule updated',
+ 'task': scheduler_service.get_task_status(api_id)
+ }
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/schedule/tasks/{api_id}/force-update")
+async def force_update(api_id: str):
+ """Force immediate update for an API"""
+ try:
+ success = await scheduler_service.force_update(api_id)
+
+ if success:
+ return {
+ 'status': 'success',
+ 'message': 'Update completed',
+ 'task': scheduler_service.get_task_status(api_id)
+ }
+ else:
+ raise HTTPException(status_code=500, detail="Update failed")
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/schedule/export")
+async def export_schedules():
+ """Export schedules to JSON"""
+ filepath = f"data/exports/schedules_export_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+ os.makedirs(os.path.dirname(filepath), exist_ok=True)
+
+ scheduler_service.export_schedules(filepath)
+
+ return FileResponse(
+ filepath,
+ media_type='application/json',
+ filename=os.path.basename(filepath)
+ )
+
+
+# ============================================================================
+# Data Endpoints
+# ============================================================================
+
+@router.get("/data/cached")
+async def get_all_cached_data():
+ """Get all cached data"""
+ return persistence_service.get_all_cached_data()
+
+
+@router.get("/data/cached/{api_id}")
+async def get_cached_data(api_id: str):
+ """Get cached data for specific API"""
+ data = persistence_service.get_cached_data(api_id)
+
+ if not data:
+ raise HTTPException(status_code=404, detail="No cached data found")
+
+ return data
+
+
+@router.get("/data/history/{api_id}")
+async def get_history(api_id: str, limit: int = 100):
+ """Get historical data for an API"""
+ history = persistence_service.get_history(api_id, limit)
+
+ return {
+ 'api_id': api_id,
+ 'history': history,
+ 'count': len(history)
+ }
+
+
+@router.get("/data/statistics")
+async def get_data_statistics():
+ """Get data storage statistics"""
+ return persistence_service.get_statistics()
+
+
+# ============================================================================
+# Export/Import Endpoints
+# ============================================================================
+
+@router.post("/export/json")
+async def export_to_json(
+ api_ids: Optional[List[str]] = None,
+ include_history: bool = False,
+ background_tasks: BackgroundTasks = None
+):
+ """Export data to JSON"""
+ try:
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ filepath = f"data/exports/data_export_{timestamp}.json"
+ os.makedirs(os.path.dirname(filepath), exist_ok=True)
+
+ await persistence_service.export_to_json(filepath, api_ids, include_history)
+
+ return {
+ 'status': 'success',
+ 'filepath': filepath,
+ 'download_url': f"/api/v2/download?file={filepath}"
+ }
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/export/csv")
+async def export_to_csv(api_ids: Optional[List[str]] = None, flatten: bool = True):
+ """Export data to CSV"""
+ try:
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ filepath = f"data/exports/data_export_{timestamp}.csv"
+ os.makedirs(os.path.dirname(filepath), exist_ok=True)
+
+ await persistence_service.export_to_csv(filepath, api_ids, flatten)
+
+ return {
+ 'status': 'success',
+ 'filepath': filepath,
+ 'download_url': f"/api/v2/download?file={filepath}"
+ }
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/export/history/{api_id}")
+async def export_history(api_id: str):
+ """Export historical data for an API to CSV"""
+ try:
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ filepath = f"data/exports/{api_id}_history_{timestamp}.csv"
+ os.makedirs(os.path.dirname(filepath), exist_ok=True)
+
+ await persistence_service.export_history_to_csv(filepath, api_id)
+
+ return {
+ 'status': 'success',
+ 'filepath': filepath,
+ 'download_url': f"/api/v2/download?file={filepath}"
+ }
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/download")
+async def download_file(file: str):
+ """Download exported file"""
+ if not os.path.exists(file):
+ raise HTTPException(status_code=404, detail="File not found")
+
+ return FileResponse(
+ file,
+ media_type='application/octet-stream',
+ filename=os.path.basename(file)
+ )
+
+
+@router.post("/backup")
+async def create_backup():
+ """Create a backup of all data"""
+ try:
+ backup_file = await persistence_service.backup_all_data()
+
+ return {
+ 'status': 'success',
+ 'backup_file': backup_file,
+ 'download_url': f"/api/v2/download?file={backup_file}"
+ }
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/restore")
+async def restore_from_backup(backup_file: str):
+ """Restore data from backup"""
+ try:
+ success = await persistence_service.restore_from_backup(backup_file)
+
+ if success:
+ return {'status': 'success', 'message': 'Data restored successfully'}
+ else:
+ raise HTTPException(status_code=500, detail="Restore failed")
+
+ except Exception as e:
+ raise HTTPException(status_code=500, detail=str(e))
+
+
+# ============================================================================
+# Status Endpoints
+# ============================================================================
+
+@router.get("/status")
+async def get_system_status():
+ """Get overall system status"""
+ return {
+ 'timestamp': datetime.now().isoformat(),
+ 'services': {
+ 'config_loader': {
+ 'apis_loaded': len(config_loader.apis),
+ 'categories': len(config_loader.get_categories()),
+ 'schedules': len(config_loader.schedules)
+ },
+ 'scheduler': {
+ 'running': scheduler_service.running,
+ 'total_tasks': len(scheduler_service.tasks),
+ 'realtime_tasks': len(scheduler_service.realtime_tasks),
+ 'cache_size': len(scheduler_service.data_cache)
+ },
+ 'persistence': {
+ 'cached_apis': len(persistence_service.cache),
+ 'apis_with_history': len(persistence_service.history),
+ 'total_history_records': sum(len(h) for h in persistence_service.history.values())
+ },
+ 'websocket': websocket_service.get_stats()
+ }
+ }
+
+
+@router.get("/health")
+async def health_check():
+ """Health check endpoint"""
+ return {
+ 'status': 'healthy',
+ 'timestamp': datetime.now().isoformat(),
+ 'services': {
+ 'config': config_loader is not None,
+ 'scheduler': scheduler_service is not None and scheduler_service.running,
+ 'persistence': persistence_service is not None,
+ 'websocket': websocket_service is not None
+ }
+ }
+
+
+# ============================================================================
+# Cleanup Endpoints
+# ============================================================================
+
+@router.post("/cleanup/cache")
+async def clear_cache():
+ """Clear all cached data"""
+ persistence_service.clear_cache()
+ return {'status': 'success', 'message': 'Cache cleared'}
+
+
+@router.post("/cleanup/history")
+async def clear_history(api_id: Optional[str] = None):
+ """Clear history"""
+ persistence_service.clear_history(api_id)
+
+ if api_id:
+ return {'status': 'success', 'message': f'History cleared for {api_id}'}
+ else:
+ return {'status': 'success', 'message': 'All history cleared'}
+
+
+@router.post("/cleanup/old-data")
+async def cleanup_old_data(days: int = 7):
+ """Remove data older than specified days"""
+ removed = await persistence_service.cleanup_old_data(days)
+
+ return {
+ 'status': 'success',
+ 'message': f'Cleaned up {removed} old records',
+ 'removed_count': removed
+ }
diff --git a/app/final/backend/services/__init__.py b/app/final/backend/services/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bef86448a42129ebec41d8654a7e2a444b77b37a
--- /dev/null
+++ b/app/final/backend/services/__init__.py
@@ -0,0 +1 @@
+# Backend services module
diff --git a/app/final/backend/services/__pycache__/__init__.cpython-313.pyc b/app/final/backend/services/__pycache__/__init__.cpython-313.pyc
new file mode 100644
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diff --git a/app/final/backend/services/__pycache__/local_resource_service.cpython-313.pyc b/app/final/backend/services/__pycache__/local_resource_service.cpython-313.pyc
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diff --git a/app/final/backend/services/auto_discovery_service.py b/app/final/backend/services/auto_discovery_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..2990ce03767bbf789a207c37eceab752c30da7f4
--- /dev/null
+++ b/app/final/backend/services/auto_discovery_service.py
@@ -0,0 +1,424 @@
+"""
+Auto Discovery Service
+----------------------
+جستجوی خودکار منابع API رایگان با استفاده از موتور جستجوی DuckDuckGo و
+تحلیل خروجی توسط مدلهای Hugging Face.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import inspect
+import json
+import logging
+import os
+import re
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+from contextlib import AsyncExitStack
+
+try:
+ from duckduckgo_search import AsyncDDGS # type: ignore
+except ImportError: # pragma: no cover
+ AsyncDDGS = None # type: ignore
+
+try:
+ from huggingface_hub import InferenceClient # type: ignore
+except ImportError: # pragma: no cover
+ InferenceClient = None # type: ignore
+
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class DiscoveryResult:
+ """نتیجهٔ نهایی جستجو و تحلیل"""
+
+ provider_id: str
+ name: str
+ category: str
+ base_url: str
+ requires_auth: bool
+ description: str
+ source_url: str
+
+
+class AutoDiscoveryService:
+ """
+ سرویس جستجوی خودکار منابع.
+
+ این سرویس:
+ 1. با استفاده از DuckDuckGo نتایج مرتبط با APIهای رایگان را جمعآوری میکند.
+ 2. متن نتایج را به مدل Hugging Face میفرستد تا پیشنهادهای ساختاریافته بازگردد.
+ 3. پیشنهادهای معتبر را به ResourceManager اضافه میکند و در صورت تأیید، ProviderManager را ریفرش میکند.
+ """
+
+ DEFAULT_QUERIES: List[str] = [
+ "free cryptocurrency market data api",
+ "open blockchain explorer api free tier",
+ "free defi protocol api documentation",
+ "open source sentiment analysis crypto api",
+ "public nft market data api no api key",
+ ]
+
+ def __init__(
+ self,
+ resource_manager,
+ provider_manager,
+ enabled: bool = True,
+ ):
+ self.resource_manager = resource_manager
+ self.provider_manager = provider_manager
+ self.enabled = enabled and os.getenv("ENABLE_AUTO_DISCOVERY", "true").lower() == "true"
+ self.interval_seconds = int(os.getenv("AUTO_DISCOVERY_INTERVAL_SECONDS", "43200"))
+ self.hf_model = os.getenv("AUTO_DISCOVERY_HF_MODEL", "HuggingFaceH4/zephyr-7b-beta")
+ self.max_candidates_per_query = int(os.getenv("AUTO_DISCOVERY_MAX_RESULTS", "8"))
+ self._hf_client: Optional[InferenceClient] = None
+ self._running_task: Optional[asyncio.Task] = None
+ self._last_run_summary: Optional[Dict[str, Any]] = None
+
+ if not self.enabled:
+ logger.info("Auto discovery service disabled via configuration.")
+ return
+
+ if AsyncDDGS is None:
+ logger.warning("duckduckgo-search package not available. Disabling auto discovery.")
+ self.enabled = False
+ return
+
+ if InferenceClient is None:
+ logger.warning("huggingface-hub package not available. Auto discovery will use fallback heuristics.")
+ else:
+ # Get HF token from environment or use default
+ from config import get_settings
+ settings = get_settings()
+ hf_token = os.getenv("HF_TOKEN") or os.getenv("HF_API_TOKEN") or settings.hf_token or "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"
+ try:
+ self._hf_client = InferenceClient(model=self.hf_model, token=hf_token)
+ logger.info("Auto discovery Hugging Face client initialized with model %s", self.hf_model)
+ except Exception as exc: # pragma: no cover - فقط برای شرایط عدم اتصال
+ logger.error("Failed to initialize Hugging Face client: %s", exc)
+ self._hf_client = None
+
+ async def start(self):
+ """شروع سرویس و ساخت حلقهٔ دورهای."""
+ if not self.enabled:
+ return
+ if self._running_task and not self._running_task.done():
+ return
+ self._running_task = asyncio.create_task(self._run_periodic_loop())
+ logger.info("Auto discovery service started with interval %s seconds", self.interval_seconds)
+
+ async def stop(self):
+ """توقف سرویس."""
+ if self._running_task:
+ self._running_task.cancel()
+ try:
+ await self._running_task
+ except asyncio.CancelledError:
+ pass
+ self._running_task = None
+ logger.info("Auto discovery service stopped.")
+
+ async def trigger_manual_discovery(self) -> Dict[str, Any]:
+ """اجرای دستی یک چرخهٔ کشف."""
+ if not self.enabled:
+ return {"status": "disabled"}
+ summary = await self._run_discovery_cycle()
+ return {"status": "completed", "summary": summary}
+
+ def get_status(self) -> Dict[str, Any]:
+ """وضعیت آخرین اجرا."""
+ return {
+ "enabled": self.enabled,
+ "model": self.hf_model if self._hf_client else None,
+ "interval_seconds": self.interval_seconds,
+ "last_run": self._last_run_summary,
+ }
+
+ async def _run_periodic_loop(self):
+ """حلقهٔ اجرای دورهای."""
+ while self.enabled:
+ try:
+ await self._run_discovery_cycle()
+ except Exception as exc:
+ logger.exception("Auto discovery cycle failed: %s", exc)
+ await asyncio.sleep(self.interval_seconds)
+
+ async def _run_discovery_cycle(self) -> Dict[str, Any]:
+ """یک چرخه کامل جستجو، تحلیل و ثبت."""
+ started_at = datetime.utcnow().isoformat()
+ candidates = await self._gather_candidates()
+ structured = await self._infer_candidates(candidates)
+ persisted = await self._persist_candidates(structured)
+
+ summary = {
+ "started_at": started_at,
+ "finished_at": datetime.utcnow().isoformat(),
+ "candidates_seen": len(candidates),
+ "suggested": len(structured),
+ "persisted": len(persisted),
+ "persisted_ids": [item.provider_id for item in persisted],
+ }
+ self._last_run_summary = summary
+
+ logger.info(
+ "Auto discovery cycle completed. candidates=%s suggested=%s persisted=%s",
+ summary["candidates_seen"],
+ summary["suggested"],
+ summary["persisted"],
+ )
+ return summary
+
+ async def _gather_candidates(self) -> List[Dict[str, Any]]:
+ """جمعآوری نتایج موتور جستجو."""
+ if not self.enabled or AsyncDDGS is None:
+ return []
+
+ results: List[Dict[str, Any]] = []
+ queries = os.getenv("AUTO_DISCOVERY_QUERIES")
+ if queries:
+ query_list = [q.strip() for q in queries.split(";") if q.strip()]
+ else:
+ query_list = self.DEFAULT_QUERIES
+
+ try:
+ async with AsyncExitStack() as stack:
+ ddgs = await stack.enter_async_context(AsyncDDGS())
+
+ for query in query_list:
+ try:
+ text_method = getattr(ddgs, "atext", None)
+ if callable(text_method):
+ async for entry in text_method(
+ query,
+ max_results=self.max_candidates_per_query,
+ ):
+ results.append(
+ {
+ "query": query,
+ "title": entry.get("title", ""),
+ "url": entry.get("href") or entry.get("url") or "",
+ "snippet": entry.get("body", ""),
+ }
+ )
+ continue
+
+ text_method = getattr(ddgs, "text", None)
+ if not callable(text_method):
+ raise AttributeError("AsyncDDGS has no 'atext' or 'text' method")
+
+ search_result = text_method(
+ query,
+ max_results=self.max_candidates_per_query,
+ )
+
+ if inspect.isawaitable(search_result):
+ search_result = await search_result
+
+ if hasattr(search_result, "__aiter__"):
+ async for entry in search_result:
+ results.append(
+ {
+ "query": query,
+ "title": entry.get("title", ""),
+ "url": entry.get("href") or entry.get("url") or "",
+ "snippet": entry.get("body", ""),
+ }
+ )
+ else:
+ iterable = (
+ search_result
+ if isinstance(search_result, list)
+ else list(search_result or [])
+ )
+ for entry in iterable:
+ results.append(
+ {
+ "query": query,
+ "title": entry.get("title", ""),
+ "url": entry.get("href") or entry.get("url") or "",
+ "snippet": entry.get("body", ""),
+ }
+ )
+ except Exception as exc: # pragma: no cover - وابسته به اینترنت
+ logger.warning(
+ "Failed to fetch results for query '%s': %s. Skipping remaining queries this cycle.",
+ query,
+ exc,
+ )
+ break
+ except Exception as exc:
+ logger.warning(
+ "DuckDuckGo auto discovery unavailable (%s). Skipping discovery cycle.",
+ exc,
+ )
+ finally:
+ close_method = getattr(ddgs, "close", None) if "ddgs" in locals() else None
+ if inspect.iscoroutinefunction(close_method):
+ try:
+ await close_method()
+ except Exception:
+ pass
+ elif callable(close_method):
+ try:
+ close_method()
+ except Exception:
+ pass
+
+ return results
+
+ async def _infer_candidates(self, candidates: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+ """تحلیل نتایج با مدل Hugging Face یا قواعد ساده."""
+ if not candidates:
+ return []
+
+ if self._hf_client:
+ prompt = self._build_prompt(candidates)
+ try:
+ response = await asyncio.to_thread(
+ self._hf_client.text_generation,
+ prompt,
+ max_new_tokens=512,
+ temperature=0.1,
+ top_p=0.9,
+ repetition_penalty=1.1,
+ )
+ return self._parse_model_response(response)
+ except Exception as exc: # pragma: no cover
+ logger.warning("Hugging Face inference failed: %s", exc)
+
+ # fallback rule-based
+ return self._rule_based_filter(candidates)
+
+ def _build_prompt(self, candidates: List[Dict[str, Any]]) -> str:
+ """ساخت پرامپت برای مدل LLM."""
+ context_lines = []
+ for idx, item in enumerate(candidates, start=1):
+ context_lines.append(
+ f"{idx}. Title: {item.get('title')}\n"
+ f" URL: {item.get('url')}\n"
+ f" Snippet: {item.get('snippet')}"
+ )
+
+ return (
+ "You are an expert agent that extracts publicly accessible API providers for cryptocurrency, "
+ "blockchain, DeFi, sentiment, NFT or analytics data. From the context entries, select candidates "
+ "that represent real API services which are freely accessible (free tier or free plan). "
+ "Return ONLY a JSON array. Each entry MUST include keys: "
+ "id (lowercase snake_case), name, base_url, category (one of: market_data, blockchain_explorers, "
+ "defi, sentiment, nft, analytics, news, rpc, huggingface, whale_tracking, onchain_analytics, custom), "
+ "requires_auth (boolean), description (short string), source_url (string). "
+ "Do not invent APIs. Ignore SDKs, articles, or paid-only services. "
+ "If no valid candidate exists, return an empty JSON array.\n\n"
+ "Context:\n"
+ + "\n".join(context_lines)
+ )
+
+ def _parse_model_response(self, response: str) -> List[Dict[str, Any]]:
+ """تبدیل پاسخ مدل به ساختار داده."""
+ try:
+ match = re.search(r"\[.*\]", response, re.DOTALL)
+ if not match:
+ logger.debug("Model response did not contain JSON array.")
+ return []
+ data = json.loads(match.group(0))
+ if isinstance(data, list):
+ return [item for item in data if isinstance(item, dict)]
+ return []
+ except json.JSONDecodeError:
+ logger.debug("Failed to decode model JSON response.")
+ return []
+
+ def _rule_based_filter(self, candidates: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+ """فیلتر ساده در صورت در دسترس نبودن مدل."""
+ structured: List[Dict[str, Any]] = []
+ for item in candidates:
+ url = item.get("url", "")
+ snippet = (item.get("snippet") or "").lower()
+ title = (item.get("title") or "").lower()
+ if not url or "github" in url:
+ continue
+ if "api" not in title and "api" not in snippet:
+ continue
+ if any(keyword in snippet for keyword in ["pricing", "paid plan", "enterprise only"]):
+ continue
+ provider_id = self._normalize_id(item.get("title") or url)
+ structured.append(
+ {
+ "id": provider_id,
+ "name": item.get("title") or provider_id,
+ "base_url": url,
+ "category": "custom",
+ "requires_auth": "token" in snippet or "apikey" in snippet,
+ "description": item.get("snippet", ""),
+ "source_url": url,
+ }
+ )
+ return structured
+
+ async def _persist_candidates(self, structured: List[Dict[str, Any]]) -> List[DiscoveryResult]:
+ """ذخیرهٔ پیشنهادهای معتبر."""
+ persisted: List[DiscoveryResult] = []
+ if not structured:
+ return persisted
+
+ for entry in structured:
+ provider_id = self._normalize_id(entry.get("id") or entry.get("name"))
+ base_url = entry.get("base_url", "")
+
+ if not base_url.startswith(("http://", "https://")):
+ continue
+
+ if self.resource_manager.get_provider(provider_id):
+ continue
+
+ provider_data = {
+ "id": provider_id,
+ "name": entry.get("name", provider_id),
+ "category": entry.get("category", "custom"),
+ "base_url": base_url,
+ "requires_auth": bool(entry.get("requires_auth")),
+ "priority": 4,
+ "weight": 40,
+ "notes": entry.get("description", ""),
+ "docs_url": entry.get("source_url", base_url),
+ "free": True,
+ "endpoints": {},
+ }
+
+ is_valid, message = self.resource_manager.validate_provider(provider_data)
+ if not is_valid:
+ logger.debug("Skipping provider %s: %s", provider_id, message)
+ continue
+
+ await asyncio.to_thread(self.resource_manager.add_provider, provider_data)
+ persisted.append(
+ DiscoveryResult(
+ provider_id=provider_id,
+ name=provider_data["name"],
+ category=provider_data["category"],
+ base_url=provider_data["base_url"],
+ requires_auth=provider_data["requires_auth"],
+ description=provider_data["notes"],
+ source_url=provider_data["docs_url"],
+ )
+ )
+
+ if persisted:
+ await asyncio.to_thread(self.resource_manager.save_resources)
+ await asyncio.to_thread(self.provider_manager.load_config)
+ logger.info("Persisted %s new providers.", len(persisted))
+
+ return persisted
+
+ @staticmethod
+ def _normalize_id(raw_value: Optional[str]) -> str:
+ """تبدیل نام به شناسهٔ مناسب."""
+ if not raw_value:
+ return "unknown_provider"
+ cleaned = re.sub(r"[^a-zA-Z0-9]+", "_", raw_value).strip("_").lower()
+ return cleaned or "unknown_provider"
+
diff --git a/app/final/backend/services/connection_manager.py b/app/final/backend/services/connection_manager.py
new file mode 100644
index 0000000000000000000000000000000000000000..600940b1c712dbefd0884195eb8151e21fd8346f
--- /dev/null
+++ b/app/final/backend/services/connection_manager.py
@@ -0,0 +1,274 @@
+"""
+Connection Manager - مدیریت اتصالات WebSocket و Session
+"""
+import asyncio
+import json
+import uuid
+from typing import Dict, Set, Optional, Any
+from datetime import datetime
+from dataclasses import dataclass, asdict
+from fastapi import WebSocket
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class ClientSession:
+ """اطلاعات Session کلاینت"""
+ session_id: str
+ client_type: str # 'browser', 'api', 'mobile'
+ connected_at: datetime
+ last_activity: datetime
+ ip_address: Optional[str] = None
+ user_agent: Optional[str] = None
+ metadata: Dict[str, Any] = None
+
+ def to_dict(self):
+ return {
+ 'session_id': self.session_id,
+ 'client_type': self.client_type,
+ 'connected_at': self.connected_at.isoformat(),
+ 'last_activity': self.last_activity.isoformat(),
+ 'ip_address': self.ip_address,
+ 'user_agent': self.user_agent,
+ 'metadata': self.metadata or {}
+ }
+
+
+class ConnectionManager:
+ """مدیر اتصالات WebSocket و Session"""
+
+ def __init__(self):
+ # WebSocket connections
+ self.active_connections: Dict[str, WebSocket] = {}
+
+ # Sessions (برای همه انواع کلاینتها)
+ self.sessions: Dict[str, ClientSession] = {}
+
+ # Subscription groups (برای broadcast انتخابی)
+ self.subscriptions: Dict[str, Set[str]] = {
+ 'market': set(),
+ 'prices': set(),
+ 'news': set(),
+ 'alerts': set(),
+ 'all': set()
+ }
+
+ # Statistics
+ self.total_connections = 0
+ self.total_messages_sent = 0
+ self.total_messages_received = 0
+
+ async def connect(
+ self,
+ websocket: WebSocket,
+ client_type: str = 'browser',
+ metadata: Optional[Dict] = None
+ ) -> str:
+ """
+ اتصال کلاینت جدید
+
+ Returns:
+ session_id
+ """
+ await websocket.accept()
+
+ session_id = str(uuid.uuid4())
+
+ # ذخیره WebSocket
+ self.active_connections[session_id] = websocket
+
+ # ایجاد Session
+ session = ClientSession(
+ session_id=session_id,
+ client_type=client_type,
+ connected_at=datetime.now(),
+ last_activity=datetime.now(),
+ metadata=metadata or {}
+ )
+ self.sessions[session_id] = session
+
+ # Subscribe به گروه all
+ self.subscriptions['all'].add(session_id)
+
+ self.total_connections += 1
+
+ logger.info(f"Client connected: {session_id} ({client_type})")
+
+ # اطلاع به همه از تعداد کاربران آنلاین
+ await self.broadcast_stats()
+
+ return session_id
+
+ def disconnect(self, session_id: str):
+ """قطع اتصال کلاینت"""
+ # حذف WebSocket
+ if session_id in self.active_connections:
+ del self.active_connections[session_id]
+
+ # حذف از subscriptions
+ for group in self.subscriptions.values():
+ group.discard(session_id)
+
+ # حذف session
+ if session_id in self.sessions:
+ del self.sessions[session_id]
+
+ logger.info(f"Client disconnected: {session_id}")
+
+ # اطلاع به همه
+ asyncio.create_task(self.broadcast_stats())
+
+ async def send_personal_message(
+ self,
+ message: Dict[str, Any],
+ session_id: str
+ ):
+ """ارسال پیام به یک کلاینت خاص"""
+ if session_id in self.active_connections:
+ try:
+ websocket = self.active_connections[session_id]
+ await websocket.send_json(message)
+
+ # بهروزرسانی آخرین فعالیت
+ if session_id in self.sessions:
+ self.sessions[session_id].last_activity = datetime.now()
+
+ self.total_messages_sent += 1
+
+ except Exception as e:
+ logger.error(f"Error sending message to {session_id}: {e}")
+ self.disconnect(session_id)
+
+ async def broadcast(
+ self,
+ message: Dict[str, Any],
+ group: str = 'all'
+ ):
+ """ارسال پیام به گروهی از کلاینتها"""
+ if group not in self.subscriptions:
+ group = 'all'
+
+ session_ids = self.subscriptions[group].copy()
+
+ disconnected = []
+ for session_id in session_ids:
+ if session_id in self.active_connections:
+ try:
+ websocket = self.active_connections[session_id]
+ await websocket.send_json(message)
+ self.total_messages_sent += 1
+ except Exception as e:
+ logger.error(f"Error broadcasting to {session_id}: {e}")
+ disconnected.append(session_id)
+
+ # پاکسازی اتصالات قطع شده
+ for session_id in disconnected:
+ self.disconnect(session_id)
+
+ async def broadcast_stats(self):
+ """ارسال آمار کلی به همه کلاینتها"""
+ stats = self.get_stats()
+ await self.broadcast({
+ 'type': 'stats_update',
+ 'data': stats,
+ 'timestamp': datetime.now().isoformat()
+ })
+
+ def subscribe(self, session_id: str, group: str):
+ """اضافه کردن به گروه subscription"""
+ if group in self.subscriptions:
+ self.subscriptions[group].add(session_id)
+ logger.info(f"Session {session_id} subscribed to {group}")
+ return True
+ return False
+
+ def unsubscribe(self, session_id: str, group: str):
+ """حذف از گروه subscription"""
+ if group in self.subscriptions:
+ self.subscriptions[group].discard(session_id)
+ logger.info(f"Session {session_id} unsubscribed from {group}")
+ return True
+ return False
+
+ def get_stats(self) -> Dict[str, Any]:
+ """دریافت آمار اتصالات"""
+ # تفکیک بر اساس نوع کلاینت
+ client_types = {}
+ for session in self.sessions.values():
+ client_type = session.client_type
+ client_types[client_type] = client_types.get(client_type, 0) + 1
+
+ # آمار subscriptions
+ subscription_stats = {
+ group: len(members)
+ for group, members in self.subscriptions.items()
+ }
+
+ return {
+ 'active_connections': len(self.active_connections),
+ 'total_sessions': len(self.sessions),
+ 'total_connections_ever': self.total_connections,
+ 'messages_sent': self.total_messages_sent,
+ 'messages_received': self.total_messages_received,
+ 'client_types': client_types,
+ 'subscriptions': subscription_stats,
+ 'timestamp': datetime.now().isoformat()
+ }
+
+ def get_sessions(self) -> Dict[str, Dict[str, Any]]:
+ """دریافت لیست sessionهای فعال"""
+ return {
+ sid: session.to_dict()
+ for sid, session in self.sessions.items()
+ }
+
+ async def send_market_update(self, data: Dict[str, Any]):
+ """ارسال بهروزرسانی بازار"""
+ await self.broadcast({
+ 'type': 'market_update',
+ 'data': data,
+ 'timestamp': datetime.now().isoformat()
+ }, group='market')
+
+ async def send_price_update(self, symbol: str, price: float, change: float):
+ """ارسال بهروزرسانی قیمت"""
+ await self.broadcast({
+ 'type': 'price_update',
+ 'data': {
+ 'symbol': symbol,
+ 'price': price,
+ 'change_24h': change
+ },
+ 'timestamp': datetime.now().isoformat()
+ }, group='prices')
+
+ async def send_alert(self, alert_type: str, message: str, severity: str = 'info'):
+ """ارسال هشدار"""
+ await self.broadcast({
+ 'type': 'alert',
+ 'data': {
+ 'alert_type': alert_type,
+ 'message': message,
+ 'severity': severity
+ },
+ 'timestamp': datetime.now().isoformat()
+ }, group='alerts')
+
+ async def heartbeat(self):
+ """ارسال heartbeat برای check کردن اتصالات"""
+ await self.broadcast({
+ 'type': 'heartbeat',
+ 'timestamp': datetime.now().isoformat()
+ })
+
+
+# Global instance
+connection_manager = ConnectionManager()
+
+
+def get_connection_manager() -> ConnectionManager:
+ """دریافت instance مدیر اتصالات"""
+ return connection_manager
+
diff --git a/app/final/backend/services/diagnostics_service.py b/app/final/backend/services/diagnostics_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..07a58030986cbf4137a283a8499afc18c0f50da2
--- /dev/null
+++ b/app/final/backend/services/diagnostics_service.py
@@ -0,0 +1,398 @@
+"""
+Diagnostics & Auto-Repair Service
+----------------------------------
+سرویس اشکالیابی خودکار و تعمیر مشکلات سیستم
+"""
+
+import asyncio
+import logging
+import os
+import subprocess
+import sys
+from dataclasses import dataclass, asdict
+from datetime import datetime
+from typing import Any, Dict, List, Optional, Tuple
+import json
+import importlib.util
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class DiagnosticIssue:
+ """یک مشکل شناسایی شده"""
+ severity: str # critical, warning, info
+ category: str # dependency, config, network, service, model
+ title: str
+ description: str
+ fixable: bool
+ fix_action: Optional[str] = None
+ auto_fixed: bool = False
+ timestamp: str = None
+
+ def __post_init__(self):
+ if self.timestamp is None:
+ self.timestamp = datetime.now().isoformat()
+
+
+@dataclass
+class DiagnosticReport:
+ """گزارش کامل اشکالیابی"""
+ timestamp: str
+ total_issues: int
+ critical_issues: int
+ warnings: int
+ info_issues: int
+ issues: List[DiagnosticIssue]
+ fixed_issues: List[DiagnosticIssue]
+ system_info: Dict[str, Any]
+ duration_ms: float
+
+
+class DiagnosticsService:
+ """سرویس اشکالیابی و تعمیر خودکار"""
+
+ def __init__(self, resource_manager=None, provider_manager=None, auto_discovery_service=None):
+ self.resource_manager = resource_manager
+ self.provider_manager = provider_manager
+ self.auto_discovery_service = auto_discovery_service
+ self.last_report: Optional[DiagnosticReport] = None
+
+ async def run_full_diagnostics(self, auto_fix: bool = False) -> DiagnosticReport:
+ """اجرای کامل اشکالیابی"""
+ start_time = datetime.now()
+ issues: List[DiagnosticIssue] = []
+ fixed_issues: List[DiagnosticIssue] = []
+
+ # بررسی وابستگیها
+ issues.extend(await self._check_dependencies())
+
+ # بررسی تنظیمات
+ issues.extend(await self._check_configuration())
+
+ # بررسی شبکه
+ issues.extend(await self._check_network())
+
+ # بررسی سرویسها
+ issues.extend(await self._check_services())
+
+ # بررسی مدلها
+ issues.extend(await self._check_models())
+
+ # بررسی فایلها و دایرکتوریها
+ issues.extend(await self._check_filesystem())
+
+ # اجرای تعمیر خودکار
+ if auto_fix:
+ for issue in issues:
+ if issue.fixable and issue.fix_action:
+ fixed = await self._apply_fix(issue)
+ if fixed:
+ issue.auto_fixed = True
+ fixed_issues.append(issue)
+
+ # محاسبه آمار
+ critical = sum(1 for i in issues if i.severity == 'critical')
+ warnings = sum(1 for i in issues if i.severity == 'warning')
+ info_count = sum(1 for i in issues if i.severity == 'info')
+
+ duration_ms = (datetime.now() - start_time).total_seconds() * 1000
+
+ report = DiagnosticReport(
+ timestamp=datetime.now().isoformat(),
+ total_issues=len(issues),
+ critical_issues=critical,
+ warnings=warnings,
+ info_issues=info_count,
+ issues=issues,
+ fixed_issues=fixed_issues,
+ system_info=await self._get_system_info(),
+ duration_ms=duration_ms
+ )
+
+ self.last_report = report
+ return report
+
+ async def _check_dependencies(self) -> List[DiagnosticIssue]:
+ """بررسی وابستگیهای Python"""
+ issues = []
+ required_packages = {
+ 'fastapi': 'FastAPI',
+ 'uvicorn': 'Uvicorn',
+ 'httpx': 'HTTPX',
+ 'pydantic': 'Pydantic',
+ 'duckduckgo_search': 'DuckDuckGo Search',
+ 'huggingface_hub': 'HuggingFace Hub',
+ 'transformers': 'Transformers',
+ }
+
+ for package, name in required_packages.items():
+ try:
+ spec = importlib.util.find_spec(package)
+ if spec is None:
+ issues.append(DiagnosticIssue(
+ severity='critical' if package in ['fastapi', 'uvicorn'] else 'warning',
+ category='dependency',
+ title=f'بسته {name} نصب نشده است',
+ description=f'بسته {package} مورد نیاز است اما نصب نشده است.',
+ fixable=True,
+ fix_action=f'pip install {package}'
+ ))
+ except Exception as e:
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='dependency',
+ title=f'خطا در بررسی {name}',
+ description=f'خطا در بررسی بسته {package}: {str(e)}',
+ fixable=False
+ ))
+
+ return issues
+
+ async def _check_configuration(self) -> List[DiagnosticIssue]:
+ """بررسی تنظیمات"""
+ issues = []
+
+ # بررسی متغیرهای محیطی مهم
+ important_env_vars = {
+ 'HF_API_TOKEN': ('warning', 'توکن HuggingFace برای استفاده از مدلها'),
+ }
+
+ for var, (severity, desc) in important_env_vars.items():
+ if not os.getenv(var):
+ issues.append(DiagnosticIssue(
+ severity=severity,
+ category='config',
+ title=f'متغیر محیطی {var} تنظیم نشده',
+ description=desc,
+ fixable=False
+ ))
+
+ # بررسی فایلهای پیکربندی
+ config_files = ['resources.json', 'config.json']
+ for config_file in config_files:
+ if not os.path.exists(config_file):
+ issues.append(DiagnosticIssue(
+ severity='info',
+ category='config',
+ title=f'فایل پیکربندی {config_file} وجود ندارد',
+ description=f'فایل {config_file} یافت نشد. ممکن است به صورت خودکار ساخته شود.',
+ fixable=False
+ ))
+
+ return issues
+
+ async def _check_network(self) -> List[DiagnosticIssue]:
+ """بررسی اتصال شبکه"""
+ issues = []
+ import httpx
+
+ test_urls = [
+ ('https://api.coingecko.com/api/v3/ping', 'CoinGecko API'),
+ ('https://api.huggingface.co', 'HuggingFace API'),
+ ]
+
+ for url, name in test_urls:
+ try:
+ async with httpx.AsyncClient(timeout=5.0) as client:
+ response = await client.get(url)
+ if response.status_code >= 400:
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='network',
+ title=f'مشکل در اتصال به {name}',
+ description=f'درخواست به {url} با کد {response.status_code} پاسخ داد.',
+ fixable=False
+ ))
+ except Exception as e:
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='network',
+ title=f'عدم دسترسی به {name}',
+ description=f'خطا در اتصال به {url}: {str(e)}',
+ fixable=False
+ ))
+
+ return issues
+
+ async def _check_services(self) -> List[DiagnosticIssue]:
+ """بررسی سرویسها"""
+ issues = []
+
+ # بررسی Auto-Discovery Service
+ if self.auto_discovery_service:
+ status = self.auto_discovery_service.get_status()
+ if not status.get('enabled'):
+ issues.append(DiagnosticIssue(
+ severity='info',
+ category='service',
+ title='سرویس Auto-Discovery غیرفعال است',
+ description='سرویس جستجوی خودکار منابع غیرفعال است.',
+ fixable=False
+ ))
+ elif not status.get('model'):
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='service',
+ title='مدل HuggingFace برای Auto-Discovery تنظیم نشده',
+ description='سرویس Auto-Discovery بدون مدل HuggingFace کار میکند.',
+ fixable=False
+ ))
+
+ # بررسی Provider Manager
+ if self.provider_manager:
+ stats = self.provider_manager.get_all_stats()
+ summary = stats.get('summary', {})
+ if summary.get('online', 0) == 0 and summary.get('total_providers', 0) > 0:
+ issues.append(DiagnosticIssue(
+ severity='critical',
+ category='service',
+ title='هیچ Provider آنلاینی وجود ندارد',
+ description='تمام Providerها آفلاین هستند.',
+ fixable=False
+ ))
+
+ return issues
+
+ async def _check_models(self) -> List[DiagnosticIssue]:
+ """بررسی وضعیت مدلهای HuggingFace"""
+ issues = []
+
+ try:
+ from huggingface_hub import InferenceClient, HfApi
+ import os
+ from config import get_settings
+
+ # Get HF token from settings or use default
+ settings = get_settings()
+ hf_token = settings.hf_token or os.getenv("HF_TOKEN") or "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"
+
+ api = HfApi(token=hf_token)
+
+ # بررسی مدلهای استفاده شده
+ models_to_check = [
+ 'HuggingFaceH4/zephyr-7b-beta',
+ 'cardiffnlp/twitter-roberta-base-sentiment-latest',
+ ]
+
+ for model_id in models_to_check:
+ try:
+ model_info = api.model_info(model_id, timeout=5.0)
+ if not model_info:
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='model',
+ title=f'مدل {model_id} در دسترس نیست',
+ description=f'نمیتوان به اطلاعات مدل {model_id} دسترسی پیدا کرد.',
+ fixable=False
+ ))
+ except Exception as e:
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='model',
+ title=f'خطا در بررسی مدل {model_id}',
+ description=f'خطا: {str(e)}',
+ fixable=False
+ ))
+ except ImportError:
+ issues.append(DiagnosticIssue(
+ severity='info',
+ category='model',
+ title='بسته huggingface_hub نصب نشده',
+ description='برای بررسی مدلها نیاز به نصب huggingface_hub است.',
+ fixable=True,
+ fix_action='pip install huggingface_hub'
+ ))
+
+ return issues
+
+ async def _check_filesystem(self) -> List[DiagnosticIssue]:
+ """بررسی فایل سیستم"""
+ issues = []
+
+ # بررسی دایرکتوریهای مهم
+ important_dirs = ['static', 'static/css', 'static/js', 'backend', 'backend/services']
+ for dir_path in important_dirs:
+ if not os.path.exists(dir_path):
+ issues.append(DiagnosticIssue(
+ severity='warning',
+ category='filesystem',
+ title=f'دایرکتوری {dir_path} وجود ندارد',
+ description=f'دایرکتوری {dir_path} یافت نشد.',
+ fixable=True,
+ fix_action=f'mkdir -p {dir_path}'
+ ))
+
+ # بررسی فایلهای مهم
+ important_files = [
+ 'api_server_extended.py',
+ 'unified_dashboard.html',
+ 'static/js/websocket-client.js',
+ 'static/css/connection-status.css',
+ ]
+ for file_path in important_files:
+ if not os.path.exists(file_path):
+ issues.append(DiagnosticIssue(
+ severity='critical' if 'api_server' in file_path else 'warning',
+ category='filesystem',
+ title=f'فایل {file_path} وجود ندارد',
+ description=f'فایل {file_path} یافت نشد.',
+ fixable=False
+ ))
+
+ return issues
+
+ async def _apply_fix(self, issue: DiagnosticIssue) -> bool:
+ """اعمال تعمیر خودکار"""
+ if not issue.fixable or not issue.fix_action:
+ return False
+
+ try:
+ if issue.fix_action.startswith('pip install'):
+ # نصب بسته
+ package = issue.fix_action.replace('pip install', '').strip()
+ result = subprocess.run(
+ [sys.executable, '-m', 'pip', 'install', package],
+ capture_output=True,
+ text=True,
+ timeout=60
+ )
+ if result.returncode == 0:
+ logger.info(f'✅ بسته {package} با موفقیت نصب شد')
+ return True
+ else:
+ logger.error(f'❌ خطا در نصب {package}: {result.stderr}')
+ return False
+
+ elif issue.fix_action.startswith('mkdir'):
+ # ساخت دایرکتوری
+ dir_path = issue.fix_action.replace('mkdir -p', '').strip()
+ os.makedirs(dir_path, exist_ok=True)
+ logger.info(f'✅ دایرکتوری {dir_path} ساخته شد')
+ return True
+
+ else:
+ logger.warning(f'⚠️ عمل تعمیر ناشناخته: {issue.fix_action}')
+ return False
+
+ except Exception as e:
+ logger.error(f'❌ خطا در اعمال تعمیر: {e}')
+ return False
+
+ async def _get_system_info(self) -> Dict[str, Any]:
+ """دریافت اطلاعات سیستم"""
+ import platform
+ return {
+ 'python_version': sys.version,
+ 'platform': platform.platform(),
+ 'architecture': platform.architecture(),
+ 'processor': platform.processor(),
+ 'cwd': os.getcwd(),
+ }
+
+ def get_last_report(self) -> Optional[Dict[str, Any]]:
+ """دریافت آخرین گزارش"""
+ if self.last_report:
+ return asdict(self.last_report)
+ return None
+
diff --git a/app/final/backend/services/hf_client.py b/app/final/backend/services/hf_client.py
new file mode 100644
index 0000000000000000000000000000000000000000..2171e04dff6688415c689c928accadafd9c2c415
--- /dev/null
+++ b/app/final/backend/services/hf_client.py
@@ -0,0 +1,36 @@
+from __future__ import annotations
+from typing import List, Dict, Any
+import os
+from functools import lru_cache
+
+ENABLE_SENTIMENT = os.getenv("ENABLE_SENTIMENT", "true").lower() in ("1","true","yes")
+SOCIAL_MODEL = os.getenv("SENTIMENT_SOCIAL_MODEL", "ElKulako/cryptobert")
+NEWS_MODEL = os.getenv("SENTIMENT_NEWS_MODEL", "kk08/CryptoBERT")
+
+
+@lru_cache(maxsize=4)
+def _pl(model_name: str):
+ if not ENABLE_SENTIMENT:
+ return None
+ from transformers import pipeline
+ return pipeline("sentiment-analysis", model=model_name)
+
+
+def _label_to_score(lbl: str) -> float:
+ l = (lbl or "").lower()
+ if "bear" in l or "neg" in l or "label_0" in l: return -1.0
+ if "bull" in l or "pos" in l or "label_1" in l: return 1.0
+ return 0.0
+
+
+def run_sentiment(texts: List[str], model: str | None = None) -> Dict[str, Any]:
+ if not ENABLE_SENTIMENT:
+ return {"enabled": False, "vote": 0.0, "samples": []}
+ name = model or SOCIAL_MODEL
+ pl = _pl(name)
+ if not pl:
+ return {"enabled": False, "vote": 0.0, "samples": []}
+ preds = pl(texts)
+ scores = [_label_to_score(p.get("label","")) * float(p.get("score",0)) for p in preds]
+ vote = sum(scores) / max(1, len(scores))
+ return {"enabled": True, "model": name, "vote": vote, "samples": preds}
diff --git a/app/final/backend/services/hf_registry.py b/app/final/backend/services/hf_registry.py
new file mode 100644
index 0000000000000000000000000000000000000000..b6b6098465276ad64a508b0b812e0f084313506c
--- /dev/null
+++ b/app/final/backend/services/hf_registry.py
@@ -0,0 +1,165 @@
+from __future__ import annotations
+import os, time, random
+from typing import Dict, Any, List, Literal, Optional
+import httpx
+
+HF_API_MODELS = "https://huggingface.co/api/models"
+HF_API_DATASETS = "https://huggingface.co/api/datasets"
+REFRESH_INTERVAL_SEC = int(os.getenv("HF_REGISTRY_REFRESH_SEC", "21600"))
+HTTP_TIMEOUT = float(os.getenv("HF_HTTP_TIMEOUT", "8.0"))
+
+HF_MODE = os.getenv("HF_MODE", "off").lower()
+if HF_MODE not in ("off", "public", "auth"):
+ HF_MODE = "off"
+
+HF_TOKEN = None
+if HF_MODE == "auth":
+ HF_TOKEN = os.getenv("HF_TOKEN")
+ if not HF_TOKEN:
+ HF_MODE = "off"
+
+# Curated Crypto Datasets
+CRYPTO_DATASETS = {
+ "price": [
+ "paperswithbacktest/Cryptocurrencies-Daily-Price",
+ "linxy/CryptoCoin",
+ "sebdg/crypto_data",
+ "Farmaanaa/bitcoin_price_timeseries",
+ "WinkingFace/CryptoLM-Bitcoin-BTC-USDT",
+ "WinkingFace/CryptoLM-Ethereum-ETH-USDT",
+ "WinkingFace/CryptoLM-Ripple-XRP-USDT",
+ ],
+ "news_raw": [
+ "flowfree/crypto-news-headlines",
+ "edaschau/bitcoin_news",
+ ],
+ "news_labeled": [
+ "SahandNZ/cryptonews-articles-with-price-momentum-labels",
+ "tahamajs/bitcoin-individual-news-dataset",
+ "tahamajs/bitcoin-enhanced-prediction-dataset-with-comprehensive-news",
+ "tahamajs/bitcoin-prediction-dataset-with-local-news-summaries",
+ "arad1367/Crypto_Semantic_News",
+ ]
+}
+
+_SEED_MODELS = ["ElKulako/cryptobert", "kk08/CryptoBERT"]
+_SEED_DATASETS = []
+for cat in CRYPTO_DATASETS.values():
+ _SEED_DATASETS.extend(cat)
+
+class HFRegistry:
+ def __init__(self):
+ self.models: Dict[str, Dict[str, Any]] = {}
+ self.datasets: Dict[str, Dict[str, Any]] = {}
+ self.last_refresh = 0.0
+ self.fail_reason: Optional[str] = None
+
+ async def _hf_json(self, url: str, params: Dict[str, Any]) -> Any:
+ headers = {}
+ if HF_MODE == "auth" and HF_TOKEN:
+ headers["Authorization"] = f"Bearer {HF_TOKEN}"
+
+ async with httpx.AsyncClient(timeout=HTTP_TIMEOUT, headers=headers) as client:
+ r = await client.get(url, params=params)
+ r.raise_for_status()
+ return r.json()
+
+ async def refresh(self) -> Dict[str, Any]:
+ if HF_MODE == "off":
+ self.fail_reason = "HF_MODE=off"
+ return {"ok": False, "error": "HF_MODE=off", "models": 0, "datasets": 0}
+
+ try:
+ for name in _SEED_MODELS:
+ self.models.setdefault(name, {"id": name, "source": "seed", "pipeline_tag": "sentiment-analysis"})
+
+ for category, dataset_list in CRYPTO_DATASETS.items():
+ for name in dataset_list:
+ self.datasets.setdefault(name, {"id": name, "source": "seed", "category": category, "tags": ["crypto", category]})
+
+ if HF_MODE in ("public", "auth"):
+ try:
+ q_sent = {"pipeline_tag": "sentiment-analysis", "search": "crypto", "limit": 50}
+ models = await self._hf_json(HF_API_MODELS, q_sent)
+ for m in models or []:
+ mid = m.get("modelId") or m.get("id") or m.get("name")
+ if not mid: continue
+ self.models[mid] = {
+ "id": mid,
+ "pipeline_tag": m.get("pipeline_tag"),
+ "likes": m.get("likes"),
+ "downloads": m.get("downloads"),
+ "tags": m.get("tags") or [],
+ "source": "hub"
+ }
+
+ q_crypto = {"search": "crypto", "limit": 100}
+ datasets = await self._hf_json(HF_API_DATASETS, q_crypto)
+ for d in datasets or []:
+ did = d.get("id") or d.get("name")
+ if not did: continue
+ category = "other"
+ tags_str = " ".join(d.get("tags") or []).lower()
+ name_lower = did.lower()
+ if "price" in tags_str or "ohlc" in tags_str or "price" in name_lower:
+ category = "price"
+ elif "news" in tags_str or "news" in name_lower:
+ if "label" in tags_str or "sentiment" in tags_str:
+ category = "news_labeled"
+ else:
+ category = "news_raw"
+
+ self.datasets[did] = {
+ "id": did,
+ "likes": d.get("likes"),
+ "downloads": d.get("downloads"),
+ "tags": d.get("tags") or [],
+ "category": category,
+ "source": "hub"
+ }
+ except Exception as e:
+ error_msg = str(e)[:200]
+ if "401" in error_msg or "unauthorized" in error_msg.lower():
+ self.fail_reason = "Authentication failed"
+ else:
+ self.fail_reason = error_msg
+
+ self.last_refresh = time.time()
+ if self.fail_reason is None:
+ return {"ok": True, "models": len(self.models), "datasets": len(self.datasets)}
+ return {"ok": False, "error": self.fail_reason, "models": len(self.models), "datasets": len(self.datasets)}
+ except Exception as e:
+ self.fail_reason = str(e)[:200]
+ return {"ok": False, "error": self.fail_reason, "models": len(self.models), "datasets": len(self.datasets)}
+
+ def list(self, kind: Literal["models","datasets"]="models", category: Optional[str]=None) -> List[Dict[str, Any]]:
+ items = list(self.models.values()) if kind == "models" else list(self.datasets.values())
+ if category and kind == "datasets":
+ items = [d for d in items if d.get("category") == category]
+ return items
+
+ def health(self):
+ age = time.time() - (self.last_refresh or 0)
+ return {
+ "ok": self.last_refresh > 0 and (self.fail_reason is None),
+ "last_refresh_epoch": self.last_refresh,
+ "age_sec": age,
+ "fail_reason": self.fail_reason,
+ "counts": {"models": len(self.models), "datasets": len(self.datasets)},
+ "interval_sec": REFRESH_INTERVAL_SEC
+ }
+
+REGISTRY = HFRegistry()
+
+async def periodic_refresh(loop_sleep: int = REFRESH_INTERVAL_SEC):
+ await REGISTRY.refresh()
+ await _sleep(int(loop_sleep * random.uniform(0.5, 0.9)))
+ while True:
+ await REGISTRY.refresh()
+ await _sleep(loop_sleep)
+
+async def _sleep(sec: int):
+ import asyncio
+ try:
+ await asyncio.sleep(sec)
+ except: pass
diff --git a/app/final/backend/services/local_resource_service.py b/app/final/backend/services/local_resource_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..8a5523fcd77c02f05c7db482f1cd87f1efcb2dcf
--- /dev/null
+++ b/app/final/backend/services/local_resource_service.py
@@ -0,0 +1,207 @@
+import json
+import logging
+from copy import deepcopy
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+
+class LocalResourceService:
+ """Centralized loader for the unified fallback registry."""
+
+ def __init__(self, resource_path: Path):
+ self.resource_path = Path(resource_path)
+ self._raw_data: Optional[Dict[str, Any]] = None
+ self._assets: Dict[str, Dict[str, Any]] = {}
+ self._market_overview: Dict[str, Any] = {}
+ self._logger = logging.getLogger(__name__)
+
+ # --------------------------------------------------------------------- #
+ # Loading helpers
+ # --------------------------------------------------------------------- #
+ def _ensure_loaded(self) -> None:
+ if self._raw_data is not None:
+ return
+
+ try:
+ with self.resource_path.open("r", encoding="utf-8") as handle:
+ data = json.load(handle)
+ except FileNotFoundError:
+ self._logger.warning("Fallback registry %s not found", self.resource_path)
+ data = {}
+ except json.JSONDecodeError as exc:
+ self._logger.error("Invalid fallback registry JSON: %s", exc)
+ data = {}
+
+ fallback_data = data.get("fallback_data") or {}
+ assets = fallback_data.get("assets") or {}
+ normalized_assets: Dict[str, Dict[str, Any]] = {}
+
+ for key, details in assets.items():
+ symbol = str(details.get("symbol") or key).upper()
+ asset_copy = deepcopy(details)
+ asset_copy["symbol"] = symbol
+ normalized_assets[symbol] = asset_copy
+
+ self._raw_data = data
+ self._assets = normalized_assets
+ self._market_overview = deepcopy(fallback_data.get("market_overview") or {})
+
+ def refresh(self) -> None:
+ """Force reload from disk (used in tests)."""
+ self._raw_data = None
+ self._assets = {}
+ self._market_overview = {}
+ self._ensure_loaded()
+
+ # --------------------------------------------------------------------- #
+ # Registry level helpers
+ # --------------------------------------------------------------------- #
+ def get_registry(self) -> Dict[str, Any]:
+ self._ensure_loaded()
+ return deepcopy(self._raw_data or {})
+
+ def get_supported_symbols(self) -> List[str]:
+ self._ensure_loaded()
+ return sorted(self._assets.keys())
+
+ def has_fallback_data(self) -> bool:
+ self._ensure_loaded()
+ return bool(self._assets)
+
+ # --------------------------------------------------------------------- #
+ # Market data helpers
+ # --------------------------------------------------------------------- #
+ def _asset_to_market_record(self, asset: Dict[str, Any]) -> Dict[str, Any]:
+ price = asset.get("price", {})
+ return {
+ "id": asset.get("slug") or asset.get("symbol", "").lower(),
+ "symbol": asset.get("symbol"),
+ "name": asset.get("name"),
+ "current_price": price.get("current_price"),
+ "market_cap": price.get("market_cap"),
+ "market_cap_rank": asset.get("market_cap_rank"),
+ "total_volume": price.get("total_volume"),
+ "price_change_24h": price.get("price_change_24h"),
+ "price_change_percentage_24h": price.get("price_change_percentage_24h"),
+ "high_24h": price.get("high_24h"),
+ "low_24h": price.get("low_24h"),
+ "last_updated": price.get("last_updated"),
+ }
+
+ def get_top_prices(self, limit: int = 10) -> List[Dict[str, Any]]:
+ self._ensure_loaded()
+ if not self._assets:
+ return []
+
+ sorted_assets = sorted(
+ self._assets.values(),
+ key=lambda x: (x.get("market_cap_rank") or 9999, -(x.get("price", {}).get("market_cap") or 0)),
+ )
+ selected = sorted_assets[: max(1, limit)]
+ return [self._asset_to_market_record(asset) for asset in selected]
+
+ def get_prices_for_symbols(self, symbols: List[str]) -> List[Dict[str, Any]]:
+ self._ensure_loaded()
+ if not symbols or not self._assets:
+ return []
+
+ results: List[Dict[str, Any]] = []
+ for raw_symbol in symbols:
+ symbol = str(raw_symbol or "").upper()
+ asset = self._assets.get(symbol)
+ if asset:
+ results.append(self._asset_to_market_record(asset))
+ return results
+
+ def get_ticker_snapshot(self, symbol: str) -> Optional[Dict[str, Any]]:
+ self._ensure_loaded()
+ asset = self._assets.get(str(symbol or "").upper())
+ if not asset:
+ return None
+
+ price = asset.get("price", {})
+ return {
+ "symbol": asset.get("symbol"),
+ "price": price.get("current_price"),
+ "price_change_24h": price.get("price_change_24h"),
+ "price_change_percent_24h": price.get("price_change_percentage_24h"),
+ "high_24h": price.get("high_24h"),
+ "low_24h": price.get("low_24h"),
+ "volume_24h": price.get("total_volume"),
+ "quote_volume_24h": price.get("total_volume"),
+ }
+
+ def get_market_overview(self) -> Dict[str, Any]:
+ self._ensure_loaded()
+ if not self._assets:
+ return {}
+
+ overview = deepcopy(self._market_overview)
+ if not overview:
+ total_market_cap = sum(
+ (asset.get("price", {}) or {}).get("market_cap") or 0 for asset in self._assets.values()
+ )
+ total_volume = sum(
+ (asset.get("price", {}) or {}).get("total_volume") or 0 for asset in self._assets.values()
+ )
+ btc = self._assets.get("BTC", {})
+ btc_cap = (btc.get("price", {}) or {}).get("market_cap") or 0
+ overview = {
+ "total_market_cap": total_market_cap,
+ "total_volume_24h": total_volume,
+ "btc_dominance": (btc_cap / total_market_cap * 100) if total_market_cap else 0,
+ "active_cryptocurrencies": len(self._assets),
+ "markets": 500,
+ "market_cap_change_percentage_24h": 0,
+ }
+
+ # Enrich with derived leaderboards
+ gainers = sorted(
+ self._assets.values(),
+ key=lambda asset: (asset.get("price", {}) or {}).get("price_change_percentage_24h") or 0,
+ reverse=True,
+ )[:5]
+ losers = sorted(
+ self._assets.values(),
+ key=lambda asset: (asset.get("price", {}) or {}).get("price_change_percentage_24h") or 0,
+ )[:5]
+ volumes = sorted(
+ self._assets.values(),
+ key=lambda asset: (asset.get("price", {}) or {}).get("total_volume") or 0,
+ reverse=True,
+ )[:5]
+
+ overview["top_gainers"] = [self._asset_to_market_record(asset) for asset in gainers]
+ overview["top_losers"] = [self._asset_to_market_record(asset) for asset in losers]
+ overview["top_by_volume"] = [self._asset_to_market_record(asset) for asset in volumes]
+ overview["timestamp"] = overview.get("timestamp") or datetime.utcnow().isoformat()
+
+ return overview
+
+ def get_ohlcv(self, symbol: str, interval: str = "1h", limit: int = 100) -> List[Dict[str, Any]]:
+ self._ensure_loaded()
+ asset = self._assets.get(str(symbol or "").upper())
+ if not asset:
+ return []
+
+ ohlcv = (asset.get("ohlcv") or {}).get(interval) or []
+ if not ohlcv and interval != "1h":
+ # Provide 1h data for other intervals when nothing else is present
+ ohlcv = (asset.get("ohlcv") or {}).get("1h") or []
+
+ if limit and ohlcv:
+ return deepcopy(ohlcv[-limit:])
+ return deepcopy(ohlcv)
+
+ # --------------------------------------------------------------------- #
+ # Convenience helpers for testing / diagnostics
+ # --------------------------------------------------------------------- #
+ def describe(self) -> Dict[str, Any]:
+ """Simple snapshot used in diagnostics/tests."""
+ self._ensure_loaded()
+ return {
+ "resource_path": str(self.resource_path),
+ "assets": len(self._assets),
+ "supported_symbols": self.get_supported_symbols(),
+ }
diff --git a/app/final/backend/services/persistence_service.py b/app/final/backend/services/persistence_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..535bd6635335073a1a18ba54e006c3334ab83268
--- /dev/null
+++ b/app/final/backend/services/persistence_service.py
@@ -0,0 +1,503 @@
+"""
+Persistence Service
+Handles data persistence with multiple export formats (JSON, CSV, database)
+"""
+import json
+import csv
+import logging
+from typing import Dict, Any, List, Optional
+from datetime import datetime, timedelta
+from pathlib import Path
+import asyncio
+from collections import defaultdict
+import pandas as pd
+
+logger = logging.getLogger(__name__)
+
+
+class PersistenceService:
+ """Service for persisting data in multiple formats"""
+
+ def __init__(self, db_manager=None, data_dir: str = 'data'):
+ self.db_manager = db_manager
+ self.data_dir = Path(data_dir)
+ self.data_dir.mkdir(parents=True, exist_ok=True)
+
+ # In-memory cache for quick access
+ self.cache: Dict[str, Any] = {}
+ self.history: Dict[str, List[Dict[str, Any]]] = defaultdict(list)
+ self.max_history_per_api = 1000 # Keep last 1000 records per API
+
+ async def save_api_data(
+ self,
+ api_id: str,
+ data: Dict[str, Any],
+ metadata: Optional[Dict[str, Any]] = None
+ ) -> bool:
+ """
+ Save API data with metadata
+
+ Args:
+ api_id: API identifier
+ data: Data to save
+ metadata: Additional metadata (category, source, etc.)
+
+ Returns:
+ Success status
+ """
+ try:
+ timestamp = datetime.now()
+
+ # Create data record
+ record = {
+ 'api_id': api_id,
+ 'timestamp': timestamp.isoformat(),
+ 'data': data,
+ 'metadata': metadata or {}
+ }
+
+ # Update cache
+ self.cache[api_id] = record
+
+ # Add to history
+ self.history[api_id].append(record)
+
+ # Trim history if needed
+ if len(self.history[api_id]) > self.max_history_per_api:
+ self.history[api_id] = self.history[api_id][-self.max_history_per_api:]
+
+ # Save to database if available
+ if self.db_manager:
+ await self._save_to_database(api_id, data, metadata, timestamp)
+
+ logger.debug(f"Saved data for {api_id}")
+ return True
+
+ except Exception as e:
+ logger.error(f"Error saving data for {api_id}: {e}")
+ return False
+
+ async def _save_to_database(
+ self,
+ api_id: str,
+ data: Dict[str, Any],
+ metadata: Dict[str, Any],
+ timestamp: datetime
+ ):
+ """Save data to database"""
+ if not self.db_manager:
+ return
+
+ try:
+ # Save using database manager methods
+ category = metadata.get('category', 'unknown')
+
+ with self.db_manager.get_session() as session:
+ # Find or create provider
+ from database.models import Provider, DataCollection
+
+ provider = session.query(Provider).filter_by(name=api_id).first()
+
+ if not provider:
+ # Create new provider
+ provider = Provider(
+ name=api_id,
+ category=category,
+ endpoint_url=metadata.get('url', ''),
+ requires_key=metadata.get('requires_key', False),
+ priority_tier=metadata.get('priority', 3)
+ )
+ session.add(provider)
+ session.flush()
+
+ # Create data collection record
+ collection = DataCollection(
+ provider_id=provider.id,
+ category=category,
+ scheduled_time=timestamp,
+ actual_fetch_time=timestamp,
+ data_timestamp=timestamp,
+ staleness_minutes=0,
+ record_count=len(data) if isinstance(data, (list, dict)) else 1,
+ payload_size_bytes=len(json.dumps(data)),
+ on_schedule=True
+ )
+ session.add(collection)
+
+ except Exception as e:
+ logger.error(f"Error saving to database: {e}")
+
+ def get_cached_data(self, api_id: str) -> Optional[Dict[str, Any]]:
+ """Get cached data for an API"""
+ return self.cache.get(api_id)
+
+ def get_all_cached_data(self) -> Dict[str, Any]:
+ """Get all cached data"""
+ return self.cache.copy()
+
+ def get_history(self, api_id: str, limit: int = 100) -> List[Dict[str, Any]]:
+ """Get historical data for an API"""
+ history = self.history.get(api_id, [])
+ return history[-limit:] if limit else history
+
+ def get_all_history(self) -> Dict[str, List[Dict[str, Any]]]:
+ """Get all historical data"""
+ return dict(self.history)
+
+ async def export_to_json(
+ self,
+ filepath: str,
+ api_ids: Optional[List[str]] = None,
+ include_history: bool = False
+ ) -> bool:
+ """
+ Export data to JSON file
+
+ Args:
+ filepath: Output file path
+ api_ids: Specific APIs to export (None = all)
+ include_history: Include historical data
+
+ Returns:
+ Success status
+ """
+ try:
+ filepath = Path(filepath)
+ filepath.parent.mkdir(parents=True, exist_ok=True)
+
+ # Prepare data
+ if include_history:
+ data = {
+ 'cache': self.cache,
+ 'history': dict(self.history),
+ 'exported_at': datetime.now().isoformat()
+ }
+ else:
+ data = {
+ 'cache': self.cache,
+ 'exported_at': datetime.now().isoformat()
+ }
+
+ # Filter by API IDs if specified
+ if api_ids:
+ if 'cache' in data:
+ data['cache'] = {k: v for k, v in data['cache'].items() if k in api_ids}
+ if 'history' in data:
+ data['history'] = {k: v for k, v in data['history'].items() if k in api_ids}
+
+ # Write to file
+ with open(filepath, 'w', encoding='utf-8') as f:
+ json.dump(data, f, indent=2, default=str)
+
+ logger.info(f"Exported data to JSON: {filepath}")
+ return True
+
+ except Exception as e:
+ logger.error(f"Error exporting to JSON: {e}")
+ return False
+
+ async def export_to_csv(
+ self,
+ filepath: str,
+ api_ids: Optional[List[str]] = None,
+ flatten: bool = True
+ ) -> bool:
+ """
+ Export data to CSV file
+
+ Args:
+ filepath: Output file path
+ api_ids: Specific APIs to export (None = all)
+ flatten: Flatten nested data structures
+
+ Returns:
+ Success status
+ """
+ try:
+ filepath = Path(filepath)
+ filepath.parent.mkdir(parents=True, exist_ok=True)
+
+ # Prepare rows
+ rows = []
+
+ cache_items = self.cache.items()
+ if api_ids:
+ cache_items = [(k, v) for k, v in cache_items if k in api_ids]
+
+ for api_id, record in cache_items:
+ row = {
+ 'api_id': api_id,
+ 'timestamp': record.get('timestamp'),
+ 'category': record.get('metadata', {}).get('category', ''),
+ }
+
+ # Flatten data if requested
+ if flatten:
+ data = record.get('data', {})
+ if isinstance(data, dict):
+ for key, value in data.items():
+ # Simple flattening - only first level
+ if isinstance(value, (str, int, float, bool)):
+ row[f'data_{key}'] = value
+ else:
+ row[f'data_{key}'] = json.dumps(value)
+ else:
+ row['data'] = json.dumps(record.get('data'))
+
+ rows.append(row)
+
+ # Write CSV
+ if rows:
+ df = pd.DataFrame(rows)
+ df.to_csv(filepath, index=False)
+ logger.info(f"Exported data to CSV: {filepath}")
+ return True
+ else:
+ logger.warning("No data to export to CSV")
+ return False
+
+ except Exception as e:
+ logger.error(f"Error exporting to CSV: {e}")
+ return False
+
+ async def export_history_to_csv(
+ self,
+ filepath: str,
+ api_id: str
+ ) -> bool:
+ """
+ Export historical data for a specific API to CSV
+
+ Args:
+ filepath: Output file path
+ api_id: API identifier
+
+ Returns:
+ Success status
+ """
+ try:
+ filepath = Path(filepath)
+ filepath.parent.mkdir(parents=True, exist_ok=True)
+
+ history = self.history.get(api_id, [])
+
+ if not history:
+ logger.warning(f"No history data for {api_id}")
+ return False
+
+ # Prepare rows
+ rows = []
+ for record in history:
+ row = {
+ 'timestamp': record.get('timestamp'),
+ 'api_id': record.get('api_id'),
+ 'data': json.dumps(record.get('data'))
+ }
+ rows.append(row)
+
+ # Write CSV
+ df = pd.DataFrame(rows)
+ df.to_csv(filepath, index=False)
+
+ logger.info(f"Exported history for {api_id} to CSV: {filepath}")
+ return True
+
+ except Exception as e:
+ logger.error(f"Error exporting history to CSV: {e}")
+ return False
+
+ async def import_from_json(self, filepath: str) -> bool:
+ """
+ Import data from JSON file
+
+ Args:
+ filepath: Input file path
+
+ Returns:
+ Success status
+ """
+ try:
+ filepath = Path(filepath)
+
+ with open(filepath, 'r', encoding='utf-8') as f:
+ data = json.load(f)
+
+ # Import cache
+ if 'cache' in data:
+ self.cache.update(data['cache'])
+
+ # Import history
+ if 'history' in data:
+ for api_id, records in data['history'].items():
+ self.history[api_id].extend(records)
+
+ # Trim if needed
+ if len(self.history[api_id]) > self.max_history_per_api:
+ self.history[api_id] = self.history[api_id][-self.max_history_per_api:]
+
+ logger.info(f"Imported data from JSON: {filepath}")
+ return True
+
+ except Exception as e:
+ logger.error(f"Error importing from JSON: {e}")
+ return False
+
+ async def backup_all_data(self, backup_dir: Optional[str] = None) -> str:
+ """
+ Create a backup of all data
+
+ Args:
+ backup_dir: Backup directory (uses default if None)
+
+ Returns:
+ Path to backup file
+ """
+ try:
+ if backup_dir:
+ backup_path = Path(backup_dir)
+ else:
+ backup_path = self.data_dir / 'backups'
+
+ backup_path.mkdir(parents=True, exist_ok=True)
+
+ # Create backup filename with timestamp
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ backup_file = backup_path / f'backup_{timestamp}.json'
+
+ # Export everything
+ await self.export_to_json(
+ str(backup_file),
+ include_history=True
+ )
+
+ logger.info(f"Created backup: {backup_file}")
+ return str(backup_file)
+
+ except Exception as e:
+ logger.error(f"Error creating backup: {e}")
+ raise
+
+ async def restore_from_backup(self, backup_file: str) -> bool:
+ """
+ Restore data from a backup file
+
+ Args:
+ backup_file: Path to backup file
+
+ Returns:
+ Success status
+ """
+ try:
+ logger.info(f"Restoring from backup: {backup_file}")
+ success = await self.import_from_json(backup_file)
+
+ if success:
+ logger.info("Backup restored successfully")
+
+ return success
+
+ except Exception as e:
+ logger.error(f"Error restoring from backup: {e}")
+ return False
+
+ def clear_cache(self):
+ """Clear all cached data"""
+ self.cache.clear()
+ logger.info("Cache cleared")
+
+ def clear_history(self, api_id: Optional[str] = None):
+ """Clear history for specific API or all"""
+ if api_id:
+ if api_id in self.history:
+ del self.history[api_id]
+ logger.info(f"Cleared history for {api_id}")
+ else:
+ self.history.clear()
+ logger.info("Cleared all history")
+
+ def get_statistics(self) -> Dict[str, Any]:
+ """Get statistics about stored data"""
+ total_cached = len(self.cache)
+ total_history_records = sum(len(records) for records in self.history.values())
+
+ api_stats = {}
+ for api_id, records in self.history.items():
+ if records:
+ timestamps = [
+ datetime.fromisoformat(r['timestamp'])
+ for r in records
+ if 'timestamp' in r
+ ]
+
+ if timestamps:
+ api_stats[api_id] = {
+ 'record_count': len(records),
+ 'oldest': min(timestamps).isoformat(),
+ 'newest': max(timestamps).isoformat()
+ }
+
+ return {
+ 'cached_apis': total_cached,
+ 'total_history_records': total_history_records,
+ 'apis_with_history': len(self.history),
+ 'api_statistics': api_stats
+ }
+
+ async def cleanup_old_data(self, days: int = 7) -> int:
+ """
+ Remove data older than specified days
+
+ Args:
+ days: Number of days to keep
+
+ Returns:
+ Number of records removed
+ """
+ try:
+ cutoff = datetime.now() - timedelta(days=days)
+ removed_count = 0
+
+ for api_id, records in list(self.history.items()):
+ original_count = len(records)
+
+ # Filter out old records
+ self.history[api_id] = [
+ r for r in records
+ if datetime.fromisoformat(r['timestamp']) > cutoff
+ ]
+
+ removed_count += original_count - len(self.history[api_id])
+
+ # Remove empty histories
+ if not self.history[api_id]:
+ del self.history[api_id]
+
+ logger.info(f"Cleaned up {removed_count} old records (older than {days} days)")
+ return removed_count
+
+ except Exception as e:
+ logger.error(f"Error during cleanup: {e}")
+ return 0
+
+ async def save_collection_data(
+ self,
+ api_id: str,
+ category: str,
+ data: Dict[str, Any],
+ timestamp: datetime
+ ):
+ """
+ Save data collection (compatibility method for scheduler)
+
+ Args:
+ api_id: API identifier
+ category: Data category
+ data: Collected data
+ timestamp: Collection timestamp
+ """
+ metadata = {
+ 'category': category,
+ 'collection_time': timestamp.isoformat()
+ }
+
+ await self.save_api_data(api_id, data, metadata)
diff --git a/app/final/backend/services/scheduler_service.py b/app/final/backend/services/scheduler_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..698d23860fb103ff6012b9658edb2d84a01d53a2
--- /dev/null
+++ b/app/final/backend/services/scheduler_service.py
@@ -0,0 +1,444 @@
+"""
+Enhanced Scheduler Service
+Manages periodic and real-time data updates with persistence
+"""
+import asyncio
+import logging
+from typing import Dict, Any, List, Optional, Callable
+from datetime import datetime, timedelta
+from dataclasses import dataclass, asdict
+import json
+from collections import defaultdict
+import httpx
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class ScheduleTask:
+ """Represents a scheduled task"""
+ api_id: str
+ name: str
+ category: str
+ interval: int # seconds
+ update_type: str # realtime, periodic, scheduled
+ enabled: bool
+ last_update: Optional[datetime] = None
+ next_update: Optional[datetime] = None
+ last_status: Optional[str] = None # success, failed, pending
+ last_data: Optional[Dict[str, Any]] = None
+ error_count: int = 0
+ success_count: int = 0
+
+
+class SchedulerService:
+ """Advanced scheduler for managing API data updates"""
+
+ def __init__(self, config_loader, db_manager=None):
+ self.config_loader = config_loader
+ self.db_manager = db_manager
+ self.tasks: Dict[str, ScheduleTask] = {}
+ self.running = False
+ self.periodic_task = None
+ self.realtime_tasks: Dict[str, asyncio.Task] = {}
+ self.data_cache: Dict[str, Any] = {}
+ self.callbacks: Dict[str, List[Callable]] = defaultdict(list)
+
+ # Initialize tasks from config
+ self._initialize_tasks()
+
+ def _initialize_tasks(self):
+ """Initialize schedule tasks from config loader"""
+ apis = self.config_loader.get_all_apis()
+ schedules = self.config_loader.schedules
+
+ for api_id, api in apis.items():
+ schedule = schedules.get(api_id, {})
+
+ task = ScheduleTask(
+ api_id=api_id,
+ name=api.get('name', api_id),
+ category=api.get('category', 'unknown'),
+ interval=schedule.get('interval', 300),
+ update_type=api.get('update_type', 'periodic'),
+ enabled=schedule.get('enabled', True),
+ next_update=datetime.now()
+ )
+
+ self.tasks[api_id] = task
+
+ logger.info(f"Initialized {len(self.tasks)} schedule tasks")
+
+ async def start(self):
+ """Start the scheduler"""
+ if self.running:
+ logger.warning("Scheduler already running")
+ return
+
+ self.running = True
+ logger.info("Starting scheduler...")
+
+ # Start periodic update loop
+ self.periodic_task = asyncio.create_task(self._periodic_update_loop())
+
+ # Start real-time tasks
+ await self._start_realtime_tasks()
+
+ logger.info("Scheduler started successfully")
+
+ async def stop(self):
+ """Stop the scheduler"""
+ if not self.running:
+ return
+
+ self.running = False
+ logger.info("Stopping scheduler...")
+
+ # Cancel periodic task
+ if self.periodic_task:
+ self.periodic_task.cancel()
+ try:
+ await self.periodic_task
+ except asyncio.CancelledError:
+ pass
+
+ # Cancel real-time tasks
+ for task in self.realtime_tasks.values():
+ task.cancel()
+
+ logger.info("Scheduler stopped")
+
+ async def _periodic_update_loop(self):
+ """Main loop for periodic updates"""
+ while self.running:
+ try:
+ # Get tasks due for update
+ due_tasks = self._get_due_tasks()
+
+ if due_tasks:
+ logger.info(f"Processing {len(due_tasks)} due tasks")
+
+ # Process tasks concurrently
+ await asyncio.gather(
+ *[self._execute_task(task) for task in due_tasks],
+ return_exceptions=True
+ )
+
+ # Sleep for a short interval
+ await asyncio.sleep(5) # Check every 5 seconds
+
+ except asyncio.CancelledError:
+ break
+ except Exception as e:
+ logger.error(f"Error in periodic update loop: {e}")
+ await asyncio.sleep(10)
+
+ def _get_due_tasks(self) -> List[ScheduleTask]:
+ """Get tasks that are due for update"""
+ now = datetime.now()
+ due_tasks = []
+
+ for task in self.tasks.values():
+ if not task.enabled:
+ continue
+
+ if task.update_type == 'realtime':
+ continue # Real-time tasks handled separately
+
+ if task.next_update is None or now >= task.next_update:
+ due_tasks.append(task)
+
+ return due_tasks
+
+ async def _execute_task(self, task: ScheduleTask):
+ """Execute a single scheduled task"""
+ try:
+ api = self.config_loader.apis.get(task.api_id)
+ if not api:
+ logger.error(f"API not found: {task.api_id}")
+ return
+
+ # Fetch data from API
+ data = await self._fetch_api_data(api)
+
+ # Update task status
+ task.last_update = datetime.now()
+ task.next_update = task.last_update + timedelta(seconds=task.interval)
+ task.last_status = 'success'
+ task.last_data = data
+ task.success_count += 1
+ task.error_count = 0 # Reset error count on success
+
+ # Cache data
+ self.data_cache[task.api_id] = {
+ 'data': data,
+ 'timestamp': datetime.now(),
+ 'task': task.name
+ }
+
+ # Save to database if available
+ if self.db_manager:
+ await self._save_to_database(task, data)
+
+ # Trigger callbacks
+ await self._trigger_callbacks(task.api_id, data)
+
+ # Mark as updated in config loader
+ self.config_loader.mark_updated(task.api_id)
+
+ logger.info(f"✓ Updated {task.name} ({task.category})")
+
+ except Exception as e:
+ logger.error(f"✗ Failed to update {task.name}: {e}")
+ task.last_status = 'failed'
+ task.error_count += 1
+
+ # Increase interval on repeated failures
+ if task.error_count >= 3:
+ task.interval = min(task.interval * 2, 3600) # Max 1 hour
+ logger.warning(f"Increased interval for {task.name} to {task.interval}s")
+
+ async def _fetch_api_data(self, api: Dict[str, Any]) -> Dict[str, Any]:
+ """Fetch data from an API"""
+ base_url = api.get('base_url', '')
+ auth = api.get('auth', {})
+
+ # Build request URL
+ url = base_url
+
+ # Handle authentication
+ headers = {}
+ params = {}
+
+ auth_type = auth.get('type', 'none')
+
+ if auth_type == 'apiKey' or auth_type == 'apiKeyHeader':
+ key = auth.get('key')
+ header_name = auth.get('header_name', 'X-API-Key')
+ if key:
+ headers[header_name] = key
+
+ elif auth_type == 'apiKeyQuery':
+ key = auth.get('key')
+ param_name = auth.get('param_name', 'apikey')
+ if key:
+ params[param_name] = key
+
+ elif auth_type == 'apiKeyPath':
+ key = auth.get('key')
+ param_name = auth.get('param_name', 'API_KEY')
+ if key:
+ url = url.replace(f'{{{param_name}}}', key)
+
+ # Make request
+ timeout = httpx.Timeout(10.0)
+
+ async with httpx.AsyncClient(timeout=timeout) as client:
+ # Handle different endpoints
+ endpoints = api.get('endpoints')
+
+ if isinstance(endpoints, dict) and 'health' in endpoints:
+ url = endpoints['health']
+ elif isinstance(endpoints, str):
+ url = endpoints
+
+ # Add query params
+ if params:
+ url = f"{url}{'&' if '?' in url else '?'}" + '&'.join(f"{k}={v}" for k, v in params.items())
+
+ response = await client.get(url, headers=headers)
+ response.raise_for_status()
+
+ return response.json()
+
+ async def _save_to_database(self, task: ScheduleTask, data: Dict[str, Any]):
+ """Save task data to database"""
+ if not self.db_manager:
+ return
+
+ try:
+ # Save using database manager
+ await self.db_manager.save_collection_data(
+ api_id=task.api_id,
+ category=task.category,
+ data=data,
+ timestamp=datetime.now()
+ )
+ except Exception as e:
+ logger.error(f"Error saving to database: {e}")
+
+ async def _trigger_callbacks(self, api_id: str, data: Dict[str, Any]):
+ """Trigger callbacks for API updates"""
+ if api_id in self.callbacks:
+ for callback in self.callbacks[api_id]:
+ try:
+ if asyncio.iscoroutinefunction(callback):
+ await callback(api_id, data)
+ else:
+ callback(api_id, data)
+ except Exception as e:
+ logger.error(f"Error in callback for {api_id}: {e}")
+
+ async def _start_realtime_tasks(self):
+ """Start WebSocket connections for real-time APIs"""
+ realtime_apis = self.config_loader.get_realtime_apis()
+
+ for api_id, api in realtime_apis.items():
+ task = self.tasks.get(api_id)
+
+ if task and task.enabled:
+ # Create WebSocket task
+ ws_task = asyncio.create_task(self._realtime_task(task, api))
+ self.realtime_tasks[api_id] = ws_task
+
+ logger.info(f"Started {len(self.realtime_tasks)} real-time tasks")
+
+ async def _realtime_task(self, task: ScheduleTask, api: Dict[str, Any]):
+ """Handle real-time WebSocket connection"""
+ # This is a placeholder - implement WebSocket connection logic
+ # based on the specific API requirements
+ while self.running:
+ try:
+ # Connect to WebSocket
+ # ws_url = api.get('base_url')
+ # async with websockets.connect(ws_url) as ws:
+ # async for message in ws:
+ # data = json.loads(message)
+ # await self._handle_realtime_data(task, data)
+
+ logger.info(f"Real-time task for {task.name} (placeholder)")
+ await asyncio.sleep(60) # Placeholder
+
+ except asyncio.CancelledError:
+ break
+ except Exception as e:
+ logger.error(f"Error in real-time task {task.name}: {e}")
+ await asyncio.sleep(30) # Retry after delay
+
+ async def _handle_realtime_data(self, task: ScheduleTask, data: Dict[str, Any]):
+ """Handle incoming real-time data"""
+ task.last_update = datetime.now()
+ task.last_status = 'success'
+ task.last_data = data
+ task.success_count += 1
+
+ # Cache data
+ self.data_cache[task.api_id] = {
+ 'data': data,
+ 'timestamp': datetime.now(),
+ 'task': task.name
+ }
+
+ # Save to database
+ if self.db_manager:
+ await self._save_to_database(task, data)
+
+ # Trigger callbacks
+ await self._trigger_callbacks(task.api_id, data)
+
+ def register_callback(self, api_id: str, callback: Callable):
+ """Register a callback for API updates"""
+ self.callbacks[api_id].append(callback)
+
+ def unregister_callback(self, api_id: str, callback: Callable):
+ """Unregister a callback"""
+ if api_id in self.callbacks:
+ self.callbacks[api_id] = [cb for cb in self.callbacks[api_id] if cb != callback]
+
+ def update_task_schedule(self, api_id: str, interval: int = None, enabled: bool = None):
+ """Update schedule for a task"""
+ if api_id in self.tasks:
+ task = self.tasks[api_id]
+
+ if interval is not None:
+ task.interval = interval
+ self.config_loader.update_schedule(api_id, interval=interval)
+
+ if enabled is not None:
+ task.enabled = enabled
+ self.config_loader.update_schedule(api_id, enabled=enabled)
+
+ logger.info(f"Updated schedule for {task.name}")
+
+ def get_task_status(self, api_id: str) -> Optional[Dict[str, Any]]:
+ """Get status of a specific task"""
+ task = self.tasks.get(api_id)
+
+ if not task:
+ return None
+
+ return {
+ 'api_id': task.api_id,
+ 'name': task.name,
+ 'category': task.category,
+ 'interval': task.interval,
+ 'update_type': task.update_type,
+ 'enabled': task.enabled,
+ 'last_update': task.last_update.isoformat() if task.last_update else None,
+ 'next_update': task.next_update.isoformat() if task.next_update else None,
+ 'last_status': task.last_status,
+ 'success_count': task.success_count,
+ 'error_count': task.error_count
+ }
+
+ def get_all_task_statuses(self) -> Dict[str, Any]:
+ """Get status of all tasks"""
+ return {
+ api_id: self.get_task_status(api_id)
+ for api_id in self.tasks.keys()
+ }
+
+ def get_cached_data(self, api_id: str) -> Optional[Dict[str, Any]]:
+ """Get cached data for an API"""
+ return self.data_cache.get(api_id)
+
+ def get_all_cached_data(self) -> Dict[str, Any]:
+ """Get all cached data"""
+ return self.data_cache
+
+ async def force_update(self, api_id: str) -> bool:
+ """Force an immediate update for an API"""
+ task = self.tasks.get(api_id)
+
+ if not task:
+ logger.error(f"Task not found: {api_id}")
+ return False
+
+ logger.info(f"Forcing update for {task.name}")
+ await self._execute_task(task)
+
+ return task.last_status == 'success'
+
+ def export_schedules(self, filepath: str):
+ """Export schedules to JSON"""
+ schedules_data = {
+ api_id: {
+ 'name': task.name,
+ 'category': task.category,
+ 'interval': task.interval,
+ 'update_type': task.update_type,
+ 'enabled': task.enabled,
+ 'last_update': task.last_update.isoformat() if task.last_update else None,
+ 'success_count': task.success_count,
+ 'error_count': task.error_count
+ }
+ for api_id, task in self.tasks.items()
+ }
+
+ with open(filepath, 'w') as f:
+ json.dump(schedules_data, f, indent=2)
+
+ logger.info(f"Exported schedules to {filepath}")
+
+ def import_schedules(self, filepath: str):
+ """Import schedules from JSON"""
+ with open(filepath, 'r') as f:
+ schedules_data = json.load(f)
+
+ for api_id, schedule_data in schedules_data.items():
+ if api_id in self.tasks:
+ task = self.tasks[api_id]
+ task.interval = schedule_data.get('interval', task.interval)
+ task.enabled = schedule_data.get('enabled', task.enabled)
+
+ logger.info(f"Imported schedules from {filepath}")
diff --git a/app/final/backend/services/unified_config_loader.py b/app/final/backend/services/unified_config_loader.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2c5434095ed65de4eacafc2cb6c3f71bb74aa0b
--- /dev/null
+++ b/app/final/backend/services/unified_config_loader.py
@@ -0,0 +1,470 @@
+"""
+Unified Configuration Loader
+Loads all APIs from JSON files at project root with scheduling and persistence support
+"""
+import json
+import os
+from typing import Dict, List, Any, Optional
+from pathlib import Path
+from datetime import datetime, timedelta
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class UnifiedConfigLoader:
+ """Load and manage all API configurations from JSON files"""
+
+ def __init__(self, config_dir: str = '.'):
+ self.config_dir = Path(config_dir)
+ self.apis: Dict[str, Dict[str, Any]] = {}
+ self.keys: Dict[str, str] = {}
+ self.cors_proxies: List[str] = []
+ self.schedules: Dict[str, Dict[str, Any]] = {}
+ self.config_files = [
+ 'crypto_resources_unified_2025-11-11.json',
+ 'all_apis_merged_2025.json',
+ 'ultimate_crypto_pipeline_2025_NZasinich.json'
+ ]
+ self.load_all_configs()
+
+ def load_all_configs(self):
+ """Load configurations from all JSON files"""
+ logger.info("Loading unified configurations...")
+
+ # Load primary unified config
+ self.load_unified_config()
+
+ # Load merged APIs
+ self.load_merged_apis()
+
+ # Load pipeline config
+ self.load_pipeline_config()
+
+ # Setup CORS proxies
+ self.setup_cors_proxies()
+
+ # Setup default schedules
+ self.setup_default_schedules()
+
+ logger.info(f"✓ Loaded {len(self.apis)} API sources")
+ logger.info(f"✓ Found {len(self.keys)} API keys")
+ logger.info(f"✓ Configured {len(self.schedules)} schedules")
+
+ def load_unified_config(self):
+ """Load crypto_resources_unified_2025-11-11.json"""
+ config_path = self.config_dir / 'crypto_resources_unified_2025-11-11.json'
+
+ try:
+ with open(config_path, 'r', encoding='utf-8') as f:
+ data = json.load(f)
+
+ registry = data.get('registry', {})
+
+ # Load RPC nodes
+ for entry in registry.get('rpc_nodes', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': entry.get('chain', 'rpc_nodes'),
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'role': entry.get('role', 'rpc'),
+ 'priority': 1,
+ 'update_type': 'realtime' if entry.get('role') == 'websocket' else 'periodic',
+ 'enabled': True
+ }
+
+ # Extract embedded keys
+ auth = entry.get('auth', {})
+ if auth.get('key'):
+ self.keys[api_id] = auth['key']
+
+ # Load block explorers
+ for entry in registry.get('block_explorers', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'blockchain_explorers',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 1,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ auth = entry.get('auth', {})
+ if auth.get('key'):
+ self.keys[api_id] = auth['key']
+
+ # Load market data sources
+ for entry in registry.get('market_data', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'market_data',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 1,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ auth = entry.get('auth', {})
+ if auth.get('key'):
+ self.keys[api_id] = auth['key']
+
+ # Load news sources
+ for entry in registry.get('news', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'news',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 2,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ # Load sentiment sources
+ for entry in registry.get('sentiment', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'sentiment',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 2,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ # Load HuggingFace resources
+ for entry in registry.get('huggingface', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'huggingface',
+ 'base_url': entry.get('base_url', 'https://huggingface.co'),
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'resource_type': entry.get('resource_type', 'model'),
+ 'priority': 2,
+ 'update_type': 'scheduled', # HF should update less frequently
+ 'enabled': True
+ }
+
+ # Load on-chain analytics
+ for entry in registry.get('onchain_analytics', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'onchain_analytics',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 2,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ # Load whale tracking
+ for entry in registry.get('whale_tracking', []):
+ api_id = entry['id']
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry['name'],
+ 'category': 'whale_tracking',
+ 'base_url': entry['base_url'],
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs_url'),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes'),
+ 'priority': 2,
+ 'update_type': 'periodic',
+ 'enabled': True
+ }
+
+ logger.info(f"✓ Loaded unified config with {len(self.apis)} entries")
+
+ except Exception as e:
+ logger.error(f"Error loading unified config: {e}")
+
+ def load_merged_apis(self):
+ """Load all_apis_merged_2025.json for additional sources"""
+ config_path = self.config_dir / 'all_apis_merged_2025.json'
+
+ try:
+ with open(config_path, 'r', encoding='utf-8') as f:
+ data = json.load(f)
+
+ # Process merged data structure (flexible parsing)
+ if isinstance(data, dict):
+ for category, entries in data.items():
+ if isinstance(entries, list):
+ for entry in entries:
+ self._process_merged_entry(entry, category)
+ elif isinstance(entries, dict):
+ self._process_merged_entry(entries, category)
+
+ logger.info("✓ Loaded merged APIs config")
+
+ except Exception as e:
+ logger.error(f"Error loading merged APIs: {e}")
+
+ def _process_merged_entry(self, entry: Dict, category: str):
+ """Process a single merged API entry"""
+ if not isinstance(entry, dict):
+ return
+
+ api_id = entry.get('id', entry.get('name', '')).lower().replace(' ', '_')
+
+ # Skip if already loaded
+ if api_id in self.apis:
+ return
+
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': entry.get('name', api_id),
+ 'category': category,
+ 'base_url': entry.get('url', entry.get('base_url', '')),
+ 'auth': entry.get('auth', {}),
+ 'docs_url': entry.get('docs', entry.get('docs_url')),
+ 'endpoints': entry.get('endpoints'),
+ 'notes': entry.get('notes', entry.get('description')),
+ 'priority': entry.get('priority', 3),
+ 'update_type': entry.get('update_type', 'periodic'),
+ 'enabled': entry.get('enabled', True)
+ }
+
+ def load_pipeline_config(self):
+ """Load ultimate_crypto_pipeline_2025_NZasinich.json"""
+ config_path = self.config_dir / 'ultimate_crypto_pipeline_2025_NZasinich.json'
+
+ try:
+ with open(config_path, 'r', encoding='utf-8') as f:
+ data = json.load(f)
+
+ # Extract pipeline-specific configurations
+ pipeline = data.get('pipeline', {})
+
+ # Update scheduling preferences from pipeline
+ for stage in pipeline.get('stages', []):
+ stage_name = stage.get('name', '')
+ interval = stage.get('interval', 300)
+
+ # Map pipeline stages to API categories
+ if 'market' in stage_name.lower():
+ self._update_category_schedule('market_data', interval)
+ elif 'sentiment' in stage_name.lower():
+ self._update_category_schedule('sentiment', interval)
+ elif 'huggingface' in stage_name.lower() or 'hf' in stage_name.lower():
+ self._update_category_schedule('huggingface', interval)
+
+ logger.info("✓ Loaded pipeline config")
+
+ except Exception as e:
+ logger.error(f"Error loading pipeline config: {e}")
+
+ def _update_category_schedule(self, category: str, interval: int):
+ """Update schedule for all APIs in a category"""
+ for api_id, api in self.apis.items():
+ if api.get('category') == category:
+ if api_id not in self.schedules:
+ self.schedules[api_id] = {}
+ self.schedules[api_id]['interval'] = interval
+
+ def setup_cors_proxies(self):
+ """Setup CORS proxy list"""
+ self.cors_proxies = [
+ 'https://api.allorigins.win/get?url=',
+ 'https://proxy.cors.sh/',
+ 'https://proxy.corsfix.com/?url=',
+ 'https://api.codetabs.com/v1/proxy?quest=',
+ 'https://thingproxy.freeboard.io/fetch/',
+ 'https://corsproxy.io/?'
+ ]
+
+ def setup_default_schedules(self):
+ """Setup default schedules based on update_type"""
+ schedule_intervals = {
+ 'realtime': 0, # WebSocket - always connected
+ 'periodic': 60, # Every minute for market data
+ 'scheduled': 3600, # Every hour for HuggingFace
+ 'daily': 86400 # Once per day
+ }
+
+ for api_id, api in self.apis.items():
+ if api_id not in self.schedules:
+ update_type = api.get('update_type', 'periodic')
+ interval = schedule_intervals.get(update_type, 300)
+
+ self.schedules[api_id] = {
+ 'interval': interval,
+ 'enabled': api.get('enabled', True),
+ 'last_update': None,
+ 'next_update': datetime.now(),
+ 'update_type': update_type
+ }
+
+ def get_all_apis(self) -> Dict[str, Dict[str, Any]]:
+ """Get all configured APIs"""
+ return self.apis
+
+ def get_apis_by_category(self, category: str) -> Dict[str, Dict[str, Any]]:
+ """Get APIs filtered by category"""
+ return {k: v for k, v in self.apis.items() if v.get('category') == category}
+
+ def get_categories(self) -> List[str]:
+ """Get all unique categories"""
+ return list(set(api.get('category', 'unknown') for api in self.apis.values()))
+
+ def get_realtime_apis(self) -> Dict[str, Dict[str, Any]]:
+ """Get APIs that support real-time updates (WebSocket)"""
+ return {k: v for k, v in self.apis.items() if v.get('update_type') == 'realtime'}
+
+ def get_periodic_apis(self) -> Dict[str, Dict[str, Any]]:
+ """Get APIs that need periodic updates"""
+ return {k: v for k, v in self.apis.items() if v.get('update_type') == 'periodic'}
+
+ def get_scheduled_apis(self) -> Dict[str, Dict[str, Any]]:
+ """Get APIs with scheduled updates (less frequent)"""
+ return {k: v for k, v in self.apis.items() if v.get('update_type') == 'scheduled'}
+
+ def get_apis_due_for_update(self) -> Dict[str, Dict[str, Any]]:
+ """Get APIs that are due for update based on their schedule"""
+ now = datetime.now()
+ due_apis = {}
+
+ for api_id, schedule in self.schedules.items():
+ if not schedule.get('enabled', True):
+ continue
+
+ next_update = schedule.get('next_update')
+ if next_update and now >= next_update:
+ due_apis[api_id] = self.apis[api_id]
+
+ return due_apis
+
+ def update_schedule(self, api_id: str, interval: int = None, enabled: bool = None):
+ """Update schedule for a specific API"""
+ if api_id not in self.schedules:
+ self.schedules[api_id] = {}
+
+ if interval is not None:
+ self.schedules[api_id]['interval'] = interval
+
+ if enabled is not None:
+ self.schedules[api_id]['enabled'] = enabled
+
+ def mark_updated(self, api_id: str):
+ """Mark an API as updated and calculate next update time"""
+ if api_id in self.schedules:
+ now = datetime.now()
+ interval = self.schedules[api_id].get('interval', 300)
+
+ self.schedules[api_id]['last_update'] = now
+ self.schedules[api_id]['next_update'] = now + timedelta(seconds=interval)
+
+ def add_custom_api(self, api_data: Dict[str, Any]) -> bool:
+ """Add a custom API source"""
+ api_id = api_data.get('id', api_data.get('name', '')).lower().replace(' ', '_')
+
+ if not api_id:
+ return False
+
+ self.apis[api_id] = {
+ 'id': api_id,
+ 'name': api_data.get('name', api_id),
+ 'category': api_data.get('category', 'custom'),
+ 'base_url': api_data.get('base_url', api_data.get('url', '')),
+ 'auth': api_data.get('auth', {}),
+ 'docs_url': api_data.get('docs_url'),
+ 'endpoints': api_data.get('endpoints'),
+ 'notes': api_data.get('notes'),
+ 'priority': api_data.get('priority', 3),
+ 'update_type': api_data.get('update_type', 'periodic'),
+ 'enabled': api_data.get('enabled', True)
+ }
+
+ # Setup schedule
+ self.schedules[api_id] = {
+ 'interval': api_data.get('interval', 300),
+ 'enabled': True,
+ 'last_update': None,
+ 'next_update': datetime.now(),
+ 'update_type': api_data.get('update_type', 'periodic')
+ }
+
+ return True
+
+ def remove_api(self, api_id: str) -> bool:
+ """Remove an API source"""
+ if api_id in self.apis:
+ del self.apis[api_id]
+
+ if api_id in self.schedules:
+ del self.schedules[api_id]
+
+ if api_id in self.keys:
+ del self.keys[api_id]
+
+ return True
+
+ def export_config(self, filepath: str):
+ """Export current configuration to JSON"""
+ config = {
+ 'apis': self.apis,
+ 'schedules': self.schedules,
+ 'keys': {k: '***' for k in self.keys.keys()}, # Don't export actual keys
+ 'cors_proxies': self.cors_proxies,
+ 'exported_at': datetime.now().isoformat()
+ }
+
+ with open(filepath, 'w', encoding='utf-8') as f:
+ json.dump(config, f, indent=2, default=str)
+
+ return True
+
+ def import_config(self, filepath: str):
+ """Import configuration from JSON"""
+ with open(filepath, 'r', encoding='utf-8') as f:
+ config = json.load(f)
+
+ # Merge imported configs
+ self.apis.update(config.get('apis', {}))
+ self.schedules.update(config.get('schedules', {}))
+ self.cors_proxies = config.get('cors_proxies', self.cors_proxies)
+
+ return True
+
+
+# Global instance
+unified_loader = UnifiedConfigLoader()
diff --git a/app/final/backend/services/websocket_service.py b/app/final/backend/services/websocket_service.py
new file mode 100644
index 0000000000000000000000000000000000000000..661daec3fae8ca7828da705acd56caa66460bde8
--- /dev/null
+++ b/app/final/backend/services/websocket_service.py
@@ -0,0 +1,402 @@
+"""
+WebSocket Service
+Handles real-time data updates to connected clients
+"""
+import asyncio
+import json
+import logging
+from typing import Dict, Set, Any, List, Optional
+from datetime import datetime
+from fastapi import WebSocket, WebSocketDisconnect
+from collections import defaultdict
+
+logger = logging.getLogger(__name__)
+
+
+class ConnectionManager:
+ """Manages WebSocket connections and broadcasts"""
+
+ def __init__(self):
+ # Active connections by client ID
+ self.active_connections: Dict[str, WebSocket] = {}
+
+ # Subscriptions: {api_id: set(client_ids)}
+ self.subscriptions: Dict[str, Set[str]] = defaultdict(set)
+
+ # Reverse subscriptions: {client_id: set(api_ids)}
+ self.client_subscriptions: Dict[str, Set[str]] = defaultdict(set)
+
+ # Connection metadata
+ self.connection_metadata: Dict[str, Dict[str, Any]] = {}
+
+ async def connect(self, websocket: WebSocket, client_id: str, metadata: Optional[Dict] = None):
+ """
+ Connect a new WebSocket client
+
+ Args:
+ websocket: WebSocket connection
+ client_id: Unique client identifier
+ metadata: Optional metadata about the connection
+ """
+ await websocket.accept()
+ self.active_connections[client_id] = websocket
+ self.connection_metadata[client_id] = metadata or {}
+
+ logger.info(f"Client {client_id} connected. Total connections: {len(self.active_connections)}")
+
+ def disconnect(self, client_id: str):
+ """
+ Disconnect a WebSocket client
+
+ Args:
+ client_id: Client identifier
+ """
+ if client_id in self.active_connections:
+ del self.active_connections[client_id]
+
+ # Remove all subscriptions for this client
+ for api_id in self.client_subscriptions.get(client_id, set()).copy():
+ self.unsubscribe(client_id, api_id)
+
+ if client_id in self.client_subscriptions:
+ del self.client_subscriptions[client_id]
+
+ if client_id in self.connection_metadata:
+ del self.connection_metadata[client_id]
+
+ logger.info(f"Client {client_id} disconnected. Total connections: {len(self.active_connections)}")
+
+ def subscribe(self, client_id: str, api_id: str):
+ """
+ Subscribe a client to API updates
+
+ Args:
+ client_id: Client identifier
+ api_id: API identifier to subscribe to
+ """
+ self.subscriptions[api_id].add(client_id)
+ self.client_subscriptions[client_id].add(api_id)
+
+ logger.debug(f"Client {client_id} subscribed to {api_id}")
+
+ def unsubscribe(self, client_id: str, api_id: str):
+ """
+ Unsubscribe a client from API updates
+
+ Args:
+ client_id: Client identifier
+ api_id: API identifier to unsubscribe from
+ """
+ if api_id in self.subscriptions:
+ self.subscriptions[api_id].discard(client_id)
+
+ # Clean up empty subscription sets
+ if not self.subscriptions[api_id]:
+ del self.subscriptions[api_id]
+
+ if client_id in self.client_subscriptions:
+ self.client_subscriptions[client_id].discard(api_id)
+
+ logger.debug(f"Client {client_id} unsubscribed from {api_id}")
+
+ def subscribe_all(self, client_id: str):
+ """
+ Subscribe a client to all API updates
+
+ Args:
+ client_id: Client identifier
+ """
+ self.client_subscriptions[client_id].add('*')
+ logger.debug(f"Client {client_id} subscribed to all updates")
+
+ async def send_personal_message(self, message: Dict[str, Any], client_id: str):
+ """
+ Send a message to a specific client
+
+ Args:
+ message: Message data
+ client_id: Target client identifier
+ """
+ if client_id in self.active_connections:
+ websocket = self.active_connections[client_id]
+ try:
+ await websocket.send_json(message)
+ except Exception as e:
+ logger.error(f"Error sending message to {client_id}: {e}")
+ self.disconnect(client_id)
+
+ async def broadcast(self, message: Dict[str, Any], api_id: Optional[str] = None):
+ """
+ Broadcast a message to subscribed clients
+
+ Args:
+ message: Message data
+ api_id: Optional API ID (broadcasts to all if None)
+ """
+ if api_id:
+ # Send to clients subscribed to this specific API
+ target_clients = self.subscriptions.get(api_id, set())
+
+ # Also include clients subscribed to all updates
+ target_clients = target_clients.union(
+ {cid for cid, subs in self.client_subscriptions.items() if '*' in subs}
+ )
+ else:
+ # Broadcast to all connected clients
+ target_clients = set(self.active_connections.keys())
+
+ # Send to all target clients
+ disconnected_clients = []
+
+ for client_id in target_clients:
+ if client_id in self.active_connections:
+ websocket = self.active_connections[client_id]
+ try:
+ await websocket.send_json(message)
+ except Exception as e:
+ logger.error(f"Error broadcasting to {client_id}: {e}")
+ disconnected_clients.append(client_id)
+
+ # Clean up disconnected clients
+ for client_id in disconnected_clients:
+ self.disconnect(client_id)
+
+ async def broadcast_api_update(self, api_id: str, data: Dict[str, Any], metadata: Optional[Dict] = None):
+ """
+ Broadcast an API data update
+
+ Args:
+ api_id: API identifier
+ data: Updated data
+ metadata: Optional metadata about the update
+ """
+ message = {
+ 'type': 'api_update',
+ 'api_id': api_id,
+ 'data': data,
+ 'metadata': metadata or {},
+ 'timestamp': datetime.now().isoformat()
+ }
+
+ await self.broadcast(message, api_id)
+
+ async def broadcast_status_update(self, status: Dict[str, Any]):
+ """
+ Broadcast a system status update
+
+ Args:
+ status: Status data
+ """
+ message = {
+ 'type': 'status_update',
+ 'status': status,
+ 'timestamp': datetime.now().isoformat()
+ }
+
+ await self.broadcast(message)
+
+ async def broadcast_schedule_update(self, schedule_info: Dict[str, Any]):
+ """
+ Broadcast a schedule update
+
+ Args:
+ schedule_info: Schedule information
+ """
+ message = {
+ 'type': 'schedule_update',
+ 'schedule': schedule_info,
+ 'timestamp': datetime.now().isoformat()
+ }
+
+ await self.broadcast(message)
+
+ def get_connection_stats(self) -> Dict[str, Any]:
+ """
+ Get connection statistics
+
+ Returns:
+ Statistics about connections and subscriptions
+ """
+ return {
+ 'total_connections': len(self.active_connections),
+ 'total_subscriptions': sum(len(subs) for subs in self.subscriptions.values()),
+ 'apis_with_subscribers': len(self.subscriptions),
+ 'clients': {
+ client_id: {
+ 'subscriptions': list(self.client_subscriptions.get(client_id, set())),
+ 'metadata': self.connection_metadata.get(client_id, {})
+ }
+ for client_id in self.active_connections.keys()
+ }
+ }
+
+
+class WebSocketService:
+ """WebSocket service for real-time updates"""
+
+ def __init__(self, scheduler_service=None, persistence_service=None):
+ self.connection_manager = ConnectionManager()
+ self.scheduler_service = scheduler_service
+ self.persistence_service = persistence_service
+ self.running = False
+
+ # Register callbacks with scheduler if available
+ if self.scheduler_service:
+ self._register_scheduler_callbacks()
+
+ def _register_scheduler_callbacks(self):
+ """Register callbacks with the scheduler service"""
+ # This would be called after scheduler is initialized
+ # For now, we'll use a different approach where scheduler calls websocket service
+ pass
+
+ async def handle_client_message(self, websocket: WebSocket, client_id: str, message: Dict[str, Any]):
+ """
+ Handle incoming messages from clients
+
+ Args:
+ websocket: WebSocket connection
+ client_id: Client identifier
+ message: Message from client
+ """
+ try:
+ message_type = message.get('type')
+
+ if message_type == 'subscribe':
+ # Subscribe to specific API
+ api_id = message.get('api_id')
+ if api_id:
+ self.connection_manager.subscribe(client_id, api_id)
+ await self.connection_manager.send_personal_message({
+ 'type': 'subscribed',
+ 'api_id': api_id,
+ 'status': 'success'
+ }, client_id)
+
+ elif message_type == 'subscribe_all':
+ # Subscribe to all updates
+ self.connection_manager.subscribe_all(client_id)
+ await self.connection_manager.send_personal_message({
+ 'type': 'subscribed',
+ 'api_id': '*',
+ 'status': 'success'
+ }, client_id)
+
+ elif message_type == 'unsubscribe':
+ # Unsubscribe from specific API
+ api_id = message.get('api_id')
+ if api_id:
+ self.connection_manager.unsubscribe(client_id, api_id)
+ await self.connection_manager.send_personal_message({
+ 'type': 'unsubscribed',
+ 'api_id': api_id,
+ 'status': 'success'
+ }, client_id)
+
+ elif message_type == 'get_data':
+ # Request current cached data
+ api_id = message.get('api_id')
+ if api_id and self.persistence_service:
+ data = self.persistence_service.get_cached_data(api_id)
+ await self.connection_manager.send_personal_message({
+ 'type': 'data_response',
+ 'api_id': api_id,
+ 'data': data
+ }, client_id)
+
+ elif message_type == 'get_all_data':
+ # Request all cached data
+ if self.persistence_service:
+ data = self.persistence_service.get_all_cached_data()
+ await self.connection_manager.send_personal_message({
+ 'type': 'data_response',
+ 'data': data
+ }, client_id)
+
+ elif message_type == 'get_schedule':
+ # Request schedule information
+ if self.scheduler_service:
+ schedules = self.scheduler_service.get_all_task_statuses()
+ await self.connection_manager.send_personal_message({
+ 'type': 'schedule_response',
+ 'schedules': schedules
+ }, client_id)
+
+ elif message_type == 'update_schedule':
+ # Update schedule for an API
+ api_id = message.get('api_id')
+ interval = message.get('interval')
+ enabled = message.get('enabled')
+
+ if api_id and self.scheduler_service:
+ self.scheduler_service.update_task_schedule(api_id, interval, enabled)
+ await self.connection_manager.send_personal_message({
+ 'type': 'schedule_updated',
+ 'api_id': api_id,
+ 'status': 'success'
+ }, client_id)
+
+ elif message_type == 'force_update':
+ # Force immediate update for an API
+ api_id = message.get('api_id')
+ if api_id and self.scheduler_service:
+ success = await self.scheduler_service.force_update(api_id)
+ await self.connection_manager.send_personal_message({
+ 'type': 'update_result',
+ 'api_id': api_id,
+ 'status': 'success' if success else 'failed'
+ }, client_id)
+
+ elif message_type == 'ping':
+ # Heartbeat
+ await self.connection_manager.send_personal_message({
+ 'type': 'pong',
+ 'timestamp': datetime.now().isoformat()
+ }, client_id)
+
+ else:
+ logger.warning(f"Unknown message type from {client_id}: {message_type}")
+
+ except Exception as e:
+ logger.error(f"Error handling client message: {e}")
+ await self.connection_manager.send_personal_message({
+ 'type': 'error',
+ 'message': str(e)
+ }, client_id)
+
+ async def notify_data_update(self, api_id: str, data: Dict[str, Any], metadata: Optional[Dict] = None):
+ """
+ Notify clients about data updates
+
+ Args:
+ api_id: API identifier
+ data: Updated data
+ metadata: Optional metadata
+ """
+ await self.connection_manager.broadcast_api_update(api_id, data, metadata)
+
+ async def notify_status_update(self, status: Dict[str, Any]):
+ """
+ Notify clients about status updates
+
+ Args:
+ status: Status information
+ """
+ await self.connection_manager.broadcast_status_update(status)
+
+ async def notify_schedule_update(self, schedule_info: Dict[str, Any]):
+ """
+ Notify clients about schedule updates
+
+ Args:
+ schedule_info: Schedule information
+ """
+ await self.connection_manager.broadcast_schedule_update(schedule_info)
+
+ def get_stats(self) -> Dict[str, Any]:
+ """Get WebSocket service statistics"""
+ return self.connection_manager.get_connection_stats()
+
+
+# Global instance
+websocket_service = WebSocketService()
diff --git a/app/final/backend/services/ws_service_manager.py b/app/final/backend/services/ws_service_manager.py
new file mode 100644
index 0000000000000000000000000000000000000000..1cfdb7e41b2b598328fcf738d91037b905f8f5f8
--- /dev/null
+++ b/app/final/backend/services/ws_service_manager.py
@@ -0,0 +1,385 @@
+"""
+Centralized WebSocket Service Manager
+
+This module provides a unified interface for managing WebSocket connections
+and broadcasting real-time data from various services.
+"""
+
+import asyncio
+import json
+from datetime import datetime
+from typing import Dict, List, Set, Any, Optional, Callable
+from fastapi import WebSocket, WebSocketDisconnect
+from enum import Enum
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class ServiceType(str, Enum):
+ """Available service types for WebSocket subscriptions"""
+ # Data Collection Services
+ MARKET_DATA = "market_data"
+ EXPLORERS = "explorers"
+ NEWS = "news"
+ SENTIMENT = "sentiment"
+ WHALE_TRACKING = "whale_tracking"
+ RPC_NODES = "rpc_nodes"
+ ONCHAIN = "onchain"
+
+ # Monitoring Services
+ HEALTH_CHECKER = "health_checker"
+ POOL_MANAGER = "pool_manager"
+ SCHEDULER = "scheduler"
+
+ # Integration Services
+ HUGGINGFACE = "huggingface"
+ PERSISTENCE = "persistence"
+
+ # System Services
+ SYSTEM = "system"
+ ALL = "all"
+
+
+class WebSocketConnection:
+ """Represents a single WebSocket connection with subscription management"""
+
+ def __init__(self, websocket: WebSocket, client_id: str):
+ self.websocket = websocket
+ self.client_id = client_id
+ self.subscriptions: Set[ServiceType] = set()
+ self.connected_at = datetime.utcnow()
+ self.last_activity = datetime.utcnow()
+ self.metadata: Dict[str, Any] = {}
+
+ async def send_message(self, message: Dict[str, Any]) -> bool:
+ """
+ Send a message to the client
+
+ Returns:
+ bool: True if successful, False if failed
+ """
+ try:
+ await self.websocket.send_json(message)
+ self.last_activity = datetime.utcnow()
+ return True
+ except Exception as e:
+ logger.error(f"Error sending message to client {self.client_id}: {e}")
+ return False
+
+ def subscribe(self, service: ServiceType):
+ """Subscribe to a service"""
+ self.subscriptions.add(service)
+ logger.info(f"Client {self.client_id} subscribed to {service.value}")
+
+ def unsubscribe(self, service: ServiceType):
+ """Unsubscribe from a service"""
+ self.subscriptions.discard(service)
+ logger.info(f"Client {self.client_id} unsubscribed from {service.value}")
+
+ def is_subscribed(self, service: ServiceType) -> bool:
+ """Check if subscribed to a service or 'all'"""
+ return service in self.subscriptions or ServiceType.ALL in self.subscriptions
+
+
+class WebSocketServiceManager:
+ """
+ Centralized manager for all WebSocket connections and service broadcasts
+ """
+
+ def __init__(self):
+ self.connections: Dict[str, WebSocketConnection] = {}
+ self.service_handlers: Dict[ServiceType, List[Callable]] = {}
+ self._lock = asyncio.Lock()
+ self._client_counter = 0
+
+ def generate_client_id(self) -> str:
+ """Generate a unique client ID"""
+ self._client_counter += 1
+ return f"client_{self._client_counter}_{int(datetime.utcnow().timestamp())}"
+
+ async def connect(self, websocket: WebSocket) -> WebSocketConnection:
+ """
+ Accept a new WebSocket connection
+
+ Args:
+ websocket: The FastAPI WebSocket instance
+
+ Returns:
+ WebSocketConnection: The connection object
+ """
+ await websocket.accept()
+ client_id = self.generate_client_id()
+
+ async with self._lock:
+ connection = WebSocketConnection(websocket, client_id)
+ self.connections[client_id] = connection
+
+ logger.info(f"New WebSocket connection: {client_id}")
+
+ # Send connection established message
+ await connection.send_message({
+ "type": "connection_established",
+ "client_id": client_id,
+ "timestamp": datetime.utcnow().isoformat(),
+ "available_services": [s.value for s in ServiceType]
+ })
+
+ return connection
+
+ async def disconnect(self, client_id: str):
+ """
+ Disconnect a client
+
+ Args:
+ client_id: The client ID to disconnect
+ """
+ async with self._lock:
+ if client_id in self.connections:
+ connection = self.connections[client_id]
+ try:
+ await connection.websocket.close()
+ except:
+ pass
+ del self.connections[client_id]
+ logger.info(f"Client disconnected: {client_id}")
+
+ async def broadcast(
+ self,
+ service: ServiceType,
+ message_type: str,
+ data: Any,
+ filter_func: Optional[Callable[[WebSocketConnection], bool]] = None
+ ):
+ """
+ Broadcast a message to all subscribed clients
+
+ Args:
+ service: The service sending the message
+ message_type: Type of message
+ data: Message payload
+ filter_func: Optional function to filter which clients receive the message
+ """
+ message = {
+ "service": service.value,
+ "type": message_type,
+ "data": data,
+ "timestamp": datetime.utcnow().isoformat()
+ }
+
+ disconnected_clients = []
+
+ async with self._lock:
+ for client_id, connection in self.connections.items():
+ # Check subscription and optional filter
+ if connection.is_subscribed(service):
+ if filter_func is None or filter_func(connection):
+ success = await connection.send_message(message)
+ if not success:
+ disconnected_clients.append(client_id)
+
+ # Clean up disconnected clients
+ for client_id in disconnected_clients:
+ await self.disconnect(client_id)
+
+ async def send_to_client(
+ self,
+ client_id: str,
+ service: ServiceType,
+ message_type: str,
+ data: Any
+ ) -> bool:
+ """
+ Send a message to a specific client
+
+ Args:
+ client_id: Target client ID
+ service: Service sending the message
+ message_type: Type of message
+ data: Message payload
+
+ Returns:
+ bool: True if successful
+ """
+ async with self._lock:
+ if client_id in self.connections:
+ connection = self.connections[client_id]
+ message = {
+ "service": service.value,
+ "type": message_type,
+ "data": data,
+ "timestamp": datetime.utcnow().isoformat()
+ }
+ return await connection.send_message(message)
+ return False
+
+ async def handle_client_message(
+ self,
+ connection: WebSocketConnection,
+ message: Dict[str, Any]
+ ):
+ """
+ Handle incoming messages from clients
+
+ Expected message format:
+ {
+ "action": "subscribe" | "unsubscribe" | "get_status" | "ping",
+ "service": "service_name" (for subscribe/unsubscribe),
+ "data": {} (optional additional data)
+ }
+ """
+ action = message.get("action")
+
+ if action == "subscribe":
+ service_name = message.get("service")
+ if service_name:
+ try:
+ service = ServiceType(service_name)
+ connection.subscribe(service)
+ await connection.send_message({
+ "service": "system",
+ "type": "subscription_confirmed",
+ "data": {
+ "service": service_name,
+ "subscriptions": [s.value for s in connection.subscriptions]
+ },
+ "timestamp": datetime.utcnow().isoformat()
+ })
+ except ValueError:
+ await connection.send_message({
+ "service": "system",
+ "type": "error",
+ "data": {
+ "message": f"Invalid service: {service_name}",
+ "available_services": [s.value for s in ServiceType]
+ },
+ "timestamp": datetime.utcnow().isoformat()
+ })
+
+ elif action == "unsubscribe":
+ service_name = message.get("service")
+ if service_name:
+ try:
+ service = ServiceType(service_name)
+ connection.unsubscribe(service)
+ await connection.send_message({
+ "service": "system",
+ "type": "unsubscription_confirmed",
+ "data": {
+ "service": service_name,
+ "subscriptions": [s.value for s in connection.subscriptions]
+ },
+ "timestamp": datetime.utcnow().isoformat()
+ })
+ except ValueError:
+ await connection.send_message({
+ "service": "system",
+ "type": "error",
+ "data": {"message": f"Invalid service: {service_name}"},
+ "timestamp": datetime.utcnow().isoformat()
+ })
+
+ elif action == "get_status":
+ await connection.send_message({
+ "service": "system",
+ "type": "status",
+ "data": {
+ "client_id": connection.client_id,
+ "connected_at": connection.connected_at.isoformat(),
+ "last_activity": connection.last_activity.isoformat(),
+ "subscriptions": [s.value for s in connection.subscriptions],
+ "total_clients": len(self.connections)
+ },
+ "timestamp": datetime.utcnow().isoformat()
+ })
+
+ elif action == "ping":
+ await connection.send_message({
+ "service": "system",
+ "type": "pong",
+ "data": message.get("data", {}),
+ "timestamp": datetime.utcnow().isoformat()
+ })
+
+ else:
+ await connection.send_message({
+ "service": "system",
+ "type": "error",
+ "data": {
+ "message": f"Unknown action: {action}",
+ "supported_actions": ["subscribe", "unsubscribe", "get_status", "ping"]
+ },
+ "timestamp": datetime.utcnow().isoformat()
+ })
+
+ async def start_service_stream(
+ self,
+ service: ServiceType,
+ data_generator: Callable,
+ interval: float = 1.0
+ ):
+ """
+ Start a continuous data stream for a service
+
+ Args:
+ service: The service type
+ data_generator: Async function that generates data
+ interval: Update interval in seconds
+ """
+ logger.info(f"Starting stream for service: {service.value}")
+
+ while True:
+ try:
+ # Check if anyone is subscribed
+ has_subscribers = False
+ async with self._lock:
+ for connection in self.connections.values():
+ if connection.is_subscribed(service):
+ has_subscribers = True
+ break
+
+ # Only fetch data if there are subscribers
+ if has_subscribers:
+ data = await data_generator()
+ if data:
+ await self.broadcast(
+ service=service,
+ message_type="update",
+ data=data
+ )
+
+ await asyncio.sleep(interval)
+
+ except asyncio.CancelledError:
+ logger.info(f"Stream cancelled for service: {service.value}")
+ break
+ except Exception as e:
+ logger.error(f"Error in service stream {service.value}: {e}")
+ await asyncio.sleep(interval)
+
+ def get_stats(self) -> Dict[str, Any]:
+ """Get manager statistics"""
+ subscription_counts = {}
+ for service in ServiceType:
+ subscription_counts[service.value] = sum(
+ 1 for conn in self.connections.values()
+ if conn.is_subscribed(service)
+ )
+
+ return {
+ "total_connections": len(self.connections),
+ "clients": [
+ {
+ "client_id": conn.client_id,
+ "connected_at": conn.connected_at.isoformat(),
+ "last_activity": conn.last_activity.isoformat(),
+ "subscriptions": [s.value for s in conn.subscriptions]
+ }
+ for conn in self.connections.values()
+ ],
+ "subscription_counts": subscription_counts
+ }
+
+
+# Global instance
+ws_manager = WebSocketServiceManager()
diff --git a/app/final/check_server.py b/app/final/check_server.py
new file mode 100644
index 0000000000000000000000000000000000000000..7395b8065dc2ea55f3b68c31c7fc393e782c653b
--- /dev/null
+++ b/app/final/check_server.py
@@ -0,0 +1,101 @@
+#!/usr/bin/env python3
+"""
+Check if the server is running and accessible
+"""
+import sys
+import socket
+import requests
+from pathlib import Path
+
+def check_port(host='localhost', port=7860):
+ """Check if a port is open"""
+ try:
+ sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+ sock.settimeout(1)
+ result = sock.connect_ex((host, port))
+ sock.close()
+ return result == 0
+ except Exception as e:
+ print(f"Error checking port: {e}")
+ return False
+
+def check_endpoint(url):
+ """Check if an endpoint is accessible"""
+ try:
+ response = requests.get(url, timeout=2)
+ return response.status_code, response.text[:100]
+ except requests.exceptions.ConnectionError:
+ return None, "Connection refused - server not running"
+ except Exception as e:
+ return None, str(e)
+
+print("=" * 70)
+print("Server Diagnostic Check")
+print("=" * 70)
+
+# Check if port is open
+print("\n1. Checking if port 7860 is open...")
+if check_port('localhost', 7860):
+ print(" ✓ Port 7860 is open")
+else:
+ print(" ✗ Port 7860 is not open - server is NOT running")
+ print("\n SOLUTION: Start the server with:")
+ print(" python main.py")
+ sys.exit(1)
+
+# Check if it's the correct server
+print("\n2. Checking if correct server is running...")
+status, text = check_endpoint('http://localhost:7860/health')
+if status == 200:
+ print(" ✓ Health endpoint responds (correct server)")
+elif status == 404:
+ print(" ✗ Health endpoint returns 404")
+ print(" WARNING: Something is running on port 7860, but it's not the FastAPI server!")
+ print(" This might be python -m http.server or another static file server.")
+ print("\n SOLUTION:")
+ print(" 1. Stop the current server (Ctrl+C in the terminal running it)")
+ print(" 2. Start the correct server: python main.py")
+ sys.exit(1)
+else:
+ print(f" ✗ Health endpoint error: {status} - {text}")
+ sys.exit(1)
+
+# Check API endpoints
+print("\n3. Checking API endpoints...")
+endpoints = [
+ '/api/market',
+ '/api/coins/top?limit=10',
+ '/api/news/latest?limit=20',
+ '/api/sentiment',
+ '/api/providers/config',
+]
+
+all_ok = True
+for endpoint in endpoints:
+ status, text = check_endpoint(f'http://localhost:7860{endpoint}')
+ if status == 200:
+ print(f" ✓ {endpoint}")
+ else:
+ print(f" ✗ {endpoint} - Status: {status}, Error: {text}")
+ all_ok = False
+
+if not all_ok:
+ print("\n WARNING: Some endpoints are not working!")
+ print(" The server is running but routes may not be registered correctly.")
+ print(" Try restarting the server: python main.py")
+
+# Check WebSocket (can't easily test, but check if route exists)
+print("\n4. WebSocket endpoint:")
+print(" The /ws endpoint should be available at ws://localhost:7860/ws")
+print(" (Cannot test WebSocket from this script)")
+
+print("\n" + "=" * 70)
+if all_ok:
+ print("✓ Server is running correctly!")
+ print(" Access the dashboard at: http://localhost:7860/")
+ print(" API docs at: http://localhost:7860/docs")
+else:
+ print("⚠ Server is running but some endpoints have issues")
+ print(" Try restarting: python main.py")
+print("=" * 70)
+
diff --git a/app/final/collectors.py b/app/final/collectors.py
new file mode 100644
index 0000000000000000000000000000000000000000..ac1a81b35fc691e2637bc7750e86714a2b838110
--- /dev/null
+++ b/app/final/collectors.py
@@ -0,0 +1,888 @@
+#!/usr/bin/env python3
+"""
+Data Collection Module for Crypto Data Aggregator
+Collects price data, news, and sentiment from various sources
+"""
+
+import requests
+import aiohttp
+import asyncio
+import json
+import logging
+import time
+import threading
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional, Any, Tuple
+import re
+
+# Try to import optional dependencies
+try:
+ import feedparser
+ FEEDPARSER_AVAILABLE = True
+except ImportError:
+ FEEDPARSER_AVAILABLE = False
+ logging.warning("feedparser not installed. RSS feed parsing will be limited.")
+
+try:
+ from bs4 import BeautifulSoup
+ BS4_AVAILABLE = True
+except ImportError:
+ BS4_AVAILABLE = False
+ logging.warning("beautifulsoup4 not installed. HTML parsing will be limited.")
+
+# Import local modules
+import config
+import database
+
+# Setup logging using config settings
+logging.basicConfig(
+ level=getattr(logging, config.LOG_LEVEL),
+ format=config.LOG_FORMAT,
+ handlers=[
+ logging.FileHandler(config.LOG_FILE),
+ logging.StreamHandler()
+ ]
+)
+logger = logging.getLogger(__name__)
+
+# Get database instance
+db = database.get_database()
+
+# Collection state tracking
+_collection_timers = []
+_is_collecting = False
+
+
+# ==================== AI MODEL STUB FUNCTIONS ====================
+# These provide fallback functionality when ai_models.py is not available
+
+def analyze_sentiment(text: str) -> Dict[str, Any]:
+ """
+ Simple sentiment analysis based on keyword matching
+ Returns sentiment score and label
+
+ Args:
+ text: Text to analyze
+
+ Returns:
+ Dict with 'score' and 'label'
+ """
+ if not text:
+ return {'score': 0.0, 'label': 'neutral'}
+
+ text_lower = text.lower()
+
+ # Positive keywords
+ positive_words = [
+ 'bullish', 'moon', 'rally', 'surge', 'gain', 'profit', 'up', 'green',
+ 'buy', 'long', 'growth', 'rise', 'pump', 'ATH', 'breakthrough',
+ 'adoption', 'positive', 'optimistic', 'upgrade', 'partnership'
+ ]
+
+ # Negative keywords
+ negative_words = [
+ 'bearish', 'crash', 'dump', 'drop', 'loss', 'down', 'red', 'sell',
+ 'short', 'decline', 'fall', 'fear', 'scam', 'hack', 'vulnerability',
+ 'negative', 'pessimistic', 'concern', 'warning', 'risk'
+ ]
+
+ # Count occurrences
+ positive_count = sum(1 for word in positive_words if word in text_lower)
+ negative_count = sum(1 for word in negative_words if word in text_lower)
+
+ # Calculate score (-1 to 1)
+ total = positive_count + negative_count
+ if total == 0:
+ score = 0.0
+ label = 'neutral'
+ else:
+ score = (positive_count - negative_count) / total
+
+ # Determine label
+ if score <= -0.6:
+ label = 'very_negative'
+ elif score <= -0.2:
+ label = 'negative'
+ elif score <= 0.2:
+ label = 'neutral'
+ elif score <= 0.6:
+ label = 'positive'
+ else:
+ label = 'very_positive'
+
+ return {'score': score, 'label': label}
+
+
+def summarize_text(text: str, max_length: int = 150) -> str:
+ """
+ Simple text summarization - takes first sentences up to max_length
+
+ Args:
+ text: Text to summarize
+ max_length: Maximum length of summary
+
+ Returns:
+ Summarized text
+ """
+ if not text:
+ return ""
+
+ # Remove extra whitespace
+ text = ' '.join(text.split())
+
+ # If already short enough, return as is
+ if len(text) <= max_length:
+ return text
+
+ # Try to break at sentence boundary
+ sentences = re.split(r'[.!?]+', text)
+ summary = ""
+
+ for sentence in sentences:
+ sentence = sentence.strip()
+ if not sentence:
+ continue
+
+ if len(summary) + len(sentence) + 2 <= max_length:
+ summary += sentence + ". "
+ else:
+ break
+
+ # If no complete sentences fit, truncate
+ if not summary:
+ summary = text[:max_length-3] + "..."
+
+ return summary.strip()
+
+
+# Try to import AI models if available
+try:
+ import ai_models
+ # Override stub functions with real AI models if available
+ analyze_sentiment = ai_models.analyze_sentiment
+ summarize_text = ai_models.summarize_text
+ logger.info("Using AI models for sentiment analysis and summarization")
+except ImportError:
+ logger.info("AI models not available, using simple keyword-based analysis")
+
+
+# ==================== HELPER FUNCTIONS ====================
+
+def safe_api_call(url: str, timeout: int = 10, headers: Optional[Dict] = None) -> Optional[Dict]:
+ """
+ Make HTTP GET request with error handling and retry logic
+
+ Args:
+ url: URL to fetch
+ timeout: Request timeout in seconds
+ headers: Optional request headers
+
+ Returns:
+ Response JSON or None on failure
+ """
+ if headers is None:
+ headers = {'User-Agent': config.USER_AGENT}
+
+ for attempt in range(config.MAX_RETRIES):
+ try:
+ logger.debug(f"API call attempt {attempt + 1}/{config.MAX_RETRIES}: {url}")
+ response = requests.get(url, timeout=timeout, headers=headers)
+ response.raise_for_status()
+ return response.json()
+ except requests.exceptions.HTTPError as e:
+ logger.warning(f"HTTP error on attempt {attempt + 1}: {e}")
+ if response.status_code == 429: # Rate limit
+ wait_time = (attempt + 1) * 5
+ logger.info(f"Rate limited, waiting {wait_time}s...")
+ time.sleep(wait_time)
+ elif response.status_code >= 500: # Server error
+ time.sleep(attempt + 1)
+ else:
+ break # Don't retry on 4xx errors
+ except requests.exceptions.Timeout:
+ logger.warning(f"Timeout on attempt {attempt + 1}")
+ time.sleep(attempt + 1)
+ except requests.exceptions.RequestException as e:
+ logger.warning(f"Request error on attempt {attempt + 1}: {e}")
+ time.sleep(attempt + 1)
+ except json.JSONDecodeError as e:
+ logger.error(f"JSON decode error: {e}")
+ break
+ except Exception as e:
+ logger.error(f"Unexpected error on attempt {attempt + 1}: {e}")
+ break
+
+ logger.error(f"All retry attempts failed for {url}")
+ return None
+
+
+def extract_mentioned_coins(text: str) -> List[str]:
+ """
+ Extract cryptocurrency symbols/names mentioned in text
+
+ Args:
+ text: Text to search for coin mentions
+
+ Returns:
+ List of coin symbols mentioned
+ """
+ if not text:
+ return []
+
+ text_upper = text.upper()
+ mentioned = []
+
+ # Check for common symbols
+ common_symbols = {
+ 'BTC': 'bitcoin', 'ETH': 'ethereum', 'BNB': 'binancecoin',
+ 'XRP': 'ripple', 'ADA': 'cardano', 'SOL': 'solana',
+ 'DOT': 'polkadot', 'DOGE': 'dogecoin', 'AVAX': 'avalanche-2',
+ 'MATIC': 'polygon', 'LINK': 'chainlink', 'UNI': 'uniswap',
+ 'LTC': 'litecoin', 'ATOM': 'cosmos', 'ALGO': 'algorand'
+ }
+
+ # Check coin symbols
+ for symbol, coin_id in common_symbols.items():
+ # Look for symbol as whole word or with $ prefix
+ pattern = r'\b' + symbol + r'\b|\$' + symbol + r'\b'
+ if re.search(pattern, text_upper):
+ mentioned.append(symbol)
+
+ # Check for full coin names (case insensitive)
+ coin_names = {
+ 'bitcoin': 'BTC', 'ethereum': 'ETH', 'binance': 'BNB',
+ 'ripple': 'XRP', 'cardano': 'ADA', 'solana': 'SOL',
+ 'polkadot': 'DOT', 'dogecoin': 'DOGE'
+ }
+
+ text_lower = text.lower()
+ for name, symbol in coin_names.items():
+ if name in text_lower and symbol not in mentioned:
+ mentioned.append(symbol)
+
+ return list(set(mentioned)) # Remove duplicates
+
+
+# ==================== PRICE DATA COLLECTION ====================
+
+def collect_price_data() -> Tuple[bool, int]:
+ """
+ Fetch price data from CoinGecko API, fallback to CoinCap if needed
+
+ Returns:
+ Tuple of (success: bool, count: int)
+ """
+ logger.info("Starting price data collection...")
+
+ try:
+ # Try CoinGecko first
+ url = f"{config.COINGECKO_BASE_URL}{config.COINGECKO_ENDPOINTS['coins_markets']}"
+ params = {
+ 'vs_currency': 'usd',
+ 'order': 'market_cap_desc',
+ 'per_page': config.TOP_COINS_LIMIT,
+ 'page': 1,
+ 'sparkline': 'false',
+ 'price_change_percentage': '1h,24h,7d'
+ }
+
+ # Add params to URL
+ param_str = '&'.join([f"{k}={v}" for k, v in params.items()])
+ full_url = f"{url}?{param_str}"
+
+ data = safe_api_call(full_url, timeout=config.REQUEST_TIMEOUT)
+
+ if data is None:
+ logger.warning("CoinGecko API failed, trying CoinCap backup...")
+ return collect_price_data_coincap()
+
+ # Parse and validate data
+ prices = []
+ for item in data:
+ try:
+ price = item.get('current_price', 0)
+
+ # Validate price
+ if not config.MIN_PRICE <= price <= config.MAX_PRICE:
+ logger.warning(f"Invalid price for {item.get('symbol')}: {price}")
+ continue
+
+ price_data = {
+ 'symbol': item.get('symbol', '').upper(),
+ 'name': item.get('name', ''),
+ 'price_usd': price,
+ 'volume_24h': item.get('total_volume', 0),
+ 'market_cap': item.get('market_cap', 0),
+ 'percent_change_1h': item.get('price_change_percentage_1h_in_currency'),
+ 'percent_change_24h': item.get('price_change_percentage_24h'),
+ 'percent_change_7d': item.get('price_change_percentage_7d'),
+ 'rank': item.get('market_cap_rank', 999)
+ }
+
+ # Validate market cap and volume
+ if price_data['market_cap'] and price_data['market_cap'] < config.MIN_MARKET_CAP:
+ continue
+ if price_data['volume_24h'] and price_data['volume_24h'] < config.MIN_VOLUME:
+ continue
+
+ prices.append(price_data)
+
+ except Exception as e:
+ logger.error(f"Error parsing price data item: {e}")
+ continue
+
+ # Save to database
+ if prices:
+ count = db.save_prices_batch(prices)
+ logger.info(f"Successfully collected and saved {count} price records from CoinGecko")
+ return True, count
+ else:
+ logger.warning("No valid price data to save")
+ return False, 0
+
+ except Exception as e:
+ logger.error(f"Error in collect_price_data: {e}")
+ return False, 0
+
+
+def collect_price_data_coincap() -> Tuple[bool, int]:
+ """
+ Backup function using CoinCap API
+
+ Returns:
+ Tuple of (success: bool, count: int)
+ """
+ logger.info("Starting CoinCap price data collection...")
+
+ try:
+ url = f"{config.COINCAP_BASE_URL}{config.COINCAP_ENDPOINTS['assets']}"
+ params = {
+ 'limit': config.TOP_COINS_LIMIT
+ }
+
+ param_str = '&'.join([f"{k}={v}" for k, v in params.items()])
+ full_url = f"{url}?{param_str}"
+
+ response = safe_api_call(full_url, timeout=config.REQUEST_TIMEOUT)
+
+ if response is None or 'data' not in response:
+ logger.error("CoinCap API failed")
+ return False, 0
+
+ data = response['data']
+
+ # Parse and validate data
+ prices = []
+ for idx, item in enumerate(data):
+ try:
+ price = float(item.get('priceUsd', 0))
+
+ # Validate price
+ if not config.MIN_PRICE <= price <= config.MAX_PRICE:
+ logger.warning(f"Invalid price for {item.get('symbol')}: {price}")
+ continue
+
+ price_data = {
+ 'symbol': item.get('symbol', '').upper(),
+ 'name': item.get('name', ''),
+ 'price_usd': price,
+ 'volume_24h': float(item.get('volumeUsd24Hr', 0)) if item.get('volumeUsd24Hr') else None,
+ 'market_cap': float(item.get('marketCapUsd', 0)) if item.get('marketCapUsd') else None,
+ 'percent_change_1h': None, # CoinCap doesn't provide 1h change
+ 'percent_change_24h': float(item.get('changePercent24Hr', 0)) if item.get('changePercent24Hr') else None,
+ 'percent_change_7d': None, # CoinCap doesn't provide 7d change
+ 'rank': int(item.get('rank', idx + 1))
+ }
+
+ # Validate market cap and volume
+ if price_data['market_cap'] and price_data['market_cap'] < config.MIN_MARKET_CAP:
+ continue
+ if price_data['volume_24h'] and price_data['volume_24h'] < config.MIN_VOLUME:
+ continue
+
+ prices.append(price_data)
+
+ except Exception as e:
+ logger.error(f"Error parsing CoinCap data item: {e}")
+ continue
+
+ # Save to database
+ if prices:
+ count = db.save_prices_batch(prices)
+ logger.info(f"Successfully collected and saved {count} price records from CoinCap")
+ return True, count
+ else:
+ logger.warning("No valid price data to save from CoinCap")
+ return False, 0
+
+ except Exception as e:
+ logger.error(f"Error in collect_price_data_coincap: {e}")
+ return False, 0
+
+
+# ==================== NEWS DATA COLLECTION ====================
+
+def collect_news_data() -> int:
+ """
+ Parse RSS feeds and Reddit posts, analyze sentiment and save to database
+
+ Returns:
+ Count of articles collected
+ """
+ logger.info("Starting news data collection...")
+ articles_collected = 0
+
+ # Collect from RSS feeds
+ if FEEDPARSER_AVAILABLE:
+ articles_collected += _collect_rss_feeds()
+ else:
+ logger.warning("Feedparser not available, skipping RSS feeds")
+
+ # Collect from Reddit
+ articles_collected += _collect_reddit_posts()
+
+ logger.info(f"News collection completed. Total articles: {articles_collected}")
+ return articles_collected
+
+
+def _collect_rss_feeds() -> int:
+ """Collect articles from RSS feeds"""
+ count = 0
+
+ for source_name, feed_url in config.RSS_FEEDS.items():
+ try:
+ logger.debug(f"Parsing RSS feed: {source_name}")
+ feed = feedparser.parse(feed_url)
+
+ for entry in feed.entries[:20]: # Limit to 20 most recent per feed
+ try:
+ # Extract article data
+ title = entry.get('title', '')
+ url = entry.get('link', '')
+
+ # Skip if no URL
+ if not url:
+ continue
+
+ # Get published date
+ published_date = None
+ if hasattr(entry, 'published_parsed') and entry.published_parsed:
+ try:
+ published_date = datetime(*entry.published_parsed[:6]).isoformat()
+ except:
+ pass
+
+ # Get summary/description
+ summary = entry.get('summary', '') or entry.get('description', '')
+ if summary and BS4_AVAILABLE:
+ # Strip HTML tags
+ soup = BeautifulSoup(summary, 'html.parser')
+ summary = soup.get_text()
+
+ # Combine title and summary for analysis
+ full_text = f"{title} {summary}"
+
+ # Extract mentioned coins
+ related_coins = extract_mentioned_coins(full_text)
+
+ # Analyze sentiment
+ sentiment_result = analyze_sentiment(full_text)
+
+ # Summarize text
+ summary_text = summarize_text(summary or title, max_length=200)
+
+ # Prepare news data
+ news_data = {
+ 'title': title,
+ 'summary': summary_text,
+ 'url': url,
+ 'source': source_name,
+ 'sentiment_score': sentiment_result['score'],
+ 'sentiment_label': sentiment_result['label'],
+ 'related_coins': related_coins,
+ 'published_date': published_date
+ }
+
+ # Save to database
+ if db.save_news(news_data):
+ count += 1
+
+ except Exception as e:
+ logger.error(f"Error processing RSS entry from {source_name}: {e}")
+ continue
+
+ except Exception as e:
+ logger.error(f"Error parsing RSS feed {source_name}: {e}")
+ continue
+
+ logger.info(f"Collected {count} articles from RSS feeds")
+ return count
+
+
+def _collect_reddit_posts() -> int:
+ """Collect posts from Reddit"""
+ count = 0
+
+ for subreddit_name, endpoint_url in config.REDDIT_ENDPOINTS.items():
+ try:
+ logger.debug(f"Fetching Reddit posts from r/{subreddit_name}")
+
+ # Reddit API requires .json extension
+ if not endpoint_url.endswith('.json'):
+ endpoint_url = endpoint_url.rstrip('/') + '.json'
+
+ headers = {'User-Agent': config.USER_AGENT}
+ data = safe_api_call(endpoint_url, headers=headers)
+
+ if not data or 'data' not in data or 'children' not in data['data']:
+ logger.warning(f"Invalid response from Reddit: {subreddit_name}")
+ continue
+
+ posts = data['data']['children']
+
+ for post_data in posts[:15]: # Limit to 15 posts per subreddit
+ try:
+ post = post_data.get('data', {})
+
+ # Extract post data
+ title = post.get('title', '')
+ url = post.get('url', '')
+ permalink = f"https://reddit.com{post.get('permalink', '')}"
+ selftext = post.get('selftext', '')
+
+ # Skip if no title
+ if not title:
+ continue
+
+ # Use permalink as primary URL (actual Reddit post)
+ article_url = permalink
+
+ # Get timestamp
+ created_utc = post.get('created_utc')
+ published_date = None
+ if created_utc:
+ try:
+ published_date = datetime.fromtimestamp(created_utc).isoformat()
+ except:
+ pass
+
+ # Combine title and text for analysis
+ full_text = f"{title} {selftext}"
+
+ # Extract mentioned coins
+ related_coins = extract_mentioned_coins(full_text)
+
+ # Analyze sentiment
+ sentiment_result = analyze_sentiment(full_text)
+
+ # Summarize text
+ summary_text = summarize_text(selftext or title, max_length=200)
+
+ # Prepare news data
+ news_data = {
+ 'title': title,
+ 'summary': summary_text,
+ 'url': article_url,
+ 'source': f"reddit_{subreddit_name}",
+ 'sentiment_score': sentiment_result['score'],
+ 'sentiment_label': sentiment_result['label'],
+ 'related_coins': related_coins,
+ 'published_date': published_date
+ }
+
+ # Save to database
+ if db.save_news(news_data):
+ count += 1
+
+ except Exception as e:
+ logger.error(f"Error processing Reddit post from {subreddit_name}: {e}")
+ continue
+
+ except Exception as e:
+ logger.error(f"Error fetching Reddit posts from {subreddit_name}: {e}")
+ continue
+
+ logger.info(f"Collected {count} posts from Reddit")
+ return count
+
+
+# ==================== SENTIMENT DATA COLLECTION ====================
+
+def collect_sentiment_data() -> Optional[Dict[str, Any]]:
+ """
+ Fetch Fear & Greed Index from Alternative.me
+
+ Returns:
+ Sentiment data or None on failure
+ """
+ logger.info("Starting sentiment data collection...")
+
+ try:
+ # Fetch Fear & Greed Index
+ data = safe_api_call(config.ALTERNATIVE_ME_URL, timeout=config.REQUEST_TIMEOUT)
+
+ if data is None or 'data' not in data:
+ logger.error("Failed to fetch Fear & Greed Index")
+ return None
+
+ # Parse response
+ fng_data = data['data'][0] if data['data'] else {}
+
+ value = fng_data.get('value')
+ classification = fng_data.get('value_classification', 'Unknown')
+ timestamp = fng_data.get('timestamp')
+
+ if value is None:
+ logger.warning("No value in Fear & Greed response")
+ return None
+
+ # Convert to sentiment score (-1 to 1)
+ # Fear & Greed is 0-100, convert to -1 to 1
+ sentiment_score = (int(value) - 50) / 50.0
+
+ # Determine label
+ if int(value) <= 25:
+ sentiment_label = 'extreme_fear'
+ elif int(value) <= 45:
+ sentiment_label = 'fear'
+ elif int(value) <= 55:
+ sentiment_label = 'neutral'
+ elif int(value) <= 75:
+ sentiment_label = 'greed'
+ else:
+ sentiment_label = 'extreme_greed'
+
+ sentiment_data = {
+ 'value': int(value),
+ 'classification': classification,
+ 'sentiment_score': sentiment_score,
+ 'sentiment_label': sentiment_label,
+ 'timestamp': timestamp
+ }
+
+ # Save to news table as market-wide sentiment
+ news_data = {
+ 'title': f"Market Sentiment: {classification}",
+ 'summary': f"Fear & Greed Index: {value}/100 - {classification}",
+ 'url': config.ALTERNATIVE_ME_URL,
+ 'source': 'alternative_me',
+ 'sentiment_score': sentiment_score,
+ 'sentiment_label': sentiment_label,
+ 'related_coins': ['BTC', 'ETH'], # Market-wide
+ 'published_date': datetime.now().isoformat()
+ }
+
+ db.save_news(news_data)
+
+ logger.info(f"Sentiment collected: {classification} ({value}/100)")
+ return sentiment_data
+
+ except Exception as e:
+ logger.error(f"Error in collect_sentiment_data: {e}")
+ return None
+
+
+# ==================== SCHEDULING ====================
+
+def schedule_data_collection():
+ """
+ Schedule periodic data collection using threading.Timer
+ Runs collection tasks in background at configured intervals
+ """
+ global _is_collecting, _collection_timers
+
+ if _is_collecting:
+ logger.warning("Data collection already running")
+ return
+
+ _is_collecting = True
+ logger.info("Starting scheduled data collection...")
+
+ def run_price_collection():
+ """Wrapper for price collection with rescheduling"""
+ try:
+ collect_price_data()
+ except Exception as e:
+ logger.error(f"Error in scheduled price collection: {e}")
+ finally:
+ # Reschedule
+ if _is_collecting:
+ timer = threading.Timer(
+ config.COLLECTION_INTERVALS['price_data'],
+ run_price_collection
+ )
+ timer.daemon = True
+ timer.start()
+ _collection_timers.append(timer)
+
+ def run_news_collection():
+ """Wrapper for news collection with rescheduling"""
+ try:
+ collect_news_data()
+ except Exception as e:
+ logger.error(f"Error in scheduled news collection: {e}")
+ finally:
+ # Reschedule
+ if _is_collecting:
+ timer = threading.Timer(
+ config.COLLECTION_INTERVALS['news_data'],
+ run_news_collection
+ )
+ timer.daemon = True
+ timer.start()
+ _collection_timers.append(timer)
+
+ def run_sentiment_collection():
+ """Wrapper for sentiment collection with rescheduling"""
+ try:
+ collect_sentiment_data()
+ except Exception as e:
+ logger.error(f"Error in scheduled sentiment collection: {e}")
+ finally:
+ # Reschedule
+ if _is_collecting:
+ timer = threading.Timer(
+ config.COLLECTION_INTERVALS['sentiment_data'],
+ run_sentiment_collection
+ )
+ timer.daemon = True
+ timer.start()
+ _collection_timers.append(timer)
+
+ # Initial run immediately
+ logger.info("Running initial data collection...")
+
+ # Run initial collections in separate threads
+ threading.Thread(target=run_price_collection, daemon=True).start()
+ time.sleep(2) # Stagger starts
+ threading.Thread(target=run_news_collection, daemon=True).start()
+ time.sleep(2)
+ threading.Thread(target=run_sentiment_collection, daemon=True).start()
+
+ logger.info("Scheduled data collection started successfully")
+ logger.info(f"Price data: every {config.COLLECTION_INTERVALS['price_data']}s")
+ logger.info(f"News data: every {config.COLLECTION_INTERVALS['news_data']}s")
+ logger.info(f"Sentiment data: every {config.COLLECTION_INTERVALS['sentiment_data']}s")
+
+
+def stop_scheduled_collection():
+ """Stop all scheduled collection tasks"""
+ global _is_collecting, _collection_timers
+
+ logger.info("Stopping scheduled data collection...")
+ _is_collecting = False
+
+ # Cancel all timers
+ for timer in _collection_timers:
+ try:
+ timer.cancel()
+ except:
+ pass
+
+ _collection_timers.clear()
+ logger.info("Scheduled data collection stopped")
+
+
+# ==================== ASYNC COLLECTION (BONUS) ====================
+
+async def collect_price_data_async() -> Tuple[bool, int]:
+ """
+ Async version of price data collection using aiohttp
+
+ Returns:
+ Tuple of (success: bool, count: int)
+ """
+ logger.info("Starting async price data collection...")
+
+ try:
+ url = f"{config.COINGECKO_BASE_URL}{config.COINGECKO_ENDPOINTS['coins_markets']}"
+ params = {
+ 'vs_currency': 'usd',
+ 'order': 'market_cap_desc',
+ 'per_page': config.TOP_COINS_LIMIT,
+ 'page': 1,
+ 'sparkline': 'false',
+ 'price_change_percentage': '1h,24h,7d'
+ }
+
+ async with aiohttp.ClientSession() as session:
+ async with session.get(url, params=params, timeout=config.REQUEST_TIMEOUT) as response:
+ if response.status != 200:
+ logger.error(f"API returned status {response.status}")
+ return False, 0
+
+ data = await response.json()
+
+ # Parse and validate data (same as sync version)
+ prices = []
+ for item in data:
+ try:
+ price = item.get('current_price', 0)
+
+ if not config.MIN_PRICE <= price <= config.MAX_PRICE:
+ continue
+
+ price_data = {
+ 'symbol': item.get('symbol', '').upper(),
+ 'name': item.get('name', ''),
+ 'price_usd': price,
+ 'volume_24h': item.get('total_volume', 0),
+ 'market_cap': item.get('market_cap', 0),
+ 'percent_change_1h': item.get('price_change_percentage_1h_in_currency'),
+ 'percent_change_24h': item.get('price_change_percentage_24h'),
+ 'percent_change_7d': item.get('price_change_percentage_7d'),
+ 'rank': item.get('market_cap_rank', 999)
+ }
+
+ if price_data['market_cap'] and price_data['market_cap'] < config.MIN_MARKET_CAP:
+ continue
+ if price_data['volume_24h'] and price_data['volume_24h'] < config.MIN_VOLUME:
+ continue
+
+ prices.append(price_data)
+
+ except Exception as e:
+ logger.error(f"Error parsing price data item: {e}")
+ continue
+
+ # Save to database
+ if prices:
+ count = db.save_prices_batch(prices)
+ logger.info(f"Async collected and saved {count} price records")
+ return True, count
+ else:
+ return False, 0
+
+ except Exception as e:
+ logger.error(f"Error in collect_price_data_async: {e}")
+ return False, 0
+
+
+# ==================== MAIN ENTRY POINT ====================
+
+if __name__ == "__main__":
+ logger.info("=" * 60)
+ logger.info("Crypto Data Collector - Manual Test Run")
+ logger.info("=" * 60)
+
+ # Test price collection
+ logger.info("\n--- Testing Price Collection ---")
+ success, count = collect_price_data()
+ print(f"Price collection: {'SUCCESS' if success else 'FAILED'} - {count} records")
+
+ # Test news collection
+ logger.info("\n--- Testing News Collection ---")
+ news_count = collect_news_data()
+ print(f"News collection: {news_count} articles collected")
+
+ # Test sentiment collection
+ logger.info("\n--- Testing Sentiment Collection ---")
+ sentiment = collect_sentiment_data()
+ if sentiment:
+ print(f"Sentiment: {sentiment['classification']} ({sentiment['value']}/100)")
+ else:
+ print("Sentiment collection: FAILED")
+
+ logger.info("\n" + "=" * 60)
+ logger.info("Manual test run completed")
+ logger.info("=" * 60)
diff --git a/app/final/collectors/QUICK_START.md b/app/final/collectors/QUICK_START.md
new file mode 100644
index 0000000000000000000000000000000000000000..f70ed558a3c39f186b56177d3aae852c48625f6b
--- /dev/null
+++ b/app/final/collectors/QUICK_START.md
@@ -0,0 +1,255 @@
+# Collectors Quick Start Guide
+
+## Files Created
+
+```
+/home/user/crypto-dt-source/collectors/
+├── __init__.py # Package exports
+├── market_data.py # Market data collectors (16 KB)
+├── explorers.py # Blockchain explorer collectors (17 KB)
+├── news.py # News aggregation collectors (13 KB)
+├── sentiment.py # Sentiment data collectors (7.8 KB)
+├── onchain.py # On-chain analytics (placeholder, 13 KB)
+├── demo_collectors.py # Comprehensive demo script (6.6 KB)
+├── README.md # Full documentation
+└── QUICK_START.md # This file
+```
+
+## Quick Test
+
+### Test All Collectors
+
+```bash
+cd /home/user/crypto-dt-source
+python collectors/demo_collectors.py
+```
+
+### Test Individual Modules
+
+```bash
+# Market Data (CoinGecko, CoinMarketCap, Binance)
+python -m collectors.market_data
+
+# Blockchain Explorers (Etherscan, BscScan, TronScan)
+python -m collectors.explorers
+
+# News (CryptoPanic, NewsAPI)
+python -m collectors.news
+
+# Sentiment (Alternative.me Fear & Greed)
+python -m collectors.sentiment
+
+# On-chain Analytics (Placeholder)
+python -m collectors.onchain
+```
+
+## Import and Use
+
+### Collect All Market Data
+
+```python
+import asyncio
+from collectors import collect_market_data
+
+results = asyncio.run(collect_market_data())
+
+for result in results:
+ print(f"{result['provider']}: {result['success']}")
+```
+
+### Collect All Data from All Categories
+
+```python
+import asyncio
+from collectors import (
+ collect_market_data,
+ collect_explorer_data,
+ collect_news_data,
+ collect_sentiment_data,
+ collect_onchain_data
+)
+
+async def main():
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ collect_market_data(),
+ collect_explorer_data(),
+ collect_news_data(),
+ collect_sentiment_data(),
+ collect_onchain_data()
+ )
+
+ market, explorers, news, sentiment, onchain = results
+
+ print(f"Market data: {len(market)} sources")
+ print(f"Explorers: {len(explorers)} sources")
+ print(f"News: {len(news)} sources")
+ print(f"Sentiment: {len(sentiment)} sources")
+ print(f"On-chain: {len(onchain)} sources (placeholder)")
+
+asyncio.run(main())
+```
+
+### Individual Collector Example
+
+```python
+import asyncio
+from collectors.market_data import get_coingecko_simple_price
+
+async def get_prices():
+ result = await get_coingecko_simple_price()
+
+ if result['success']:
+ data = result['data']
+ print(f"BTC: ${data['bitcoin']['usd']:,.2f}")
+ print(f"ETH: ${data['ethereum']['usd']:,.2f}")
+ print(f"BNB: ${data['binancecoin']['usd']:,.2f}")
+ print(f"Data age: {result['staleness_minutes']:.2f} minutes")
+ else:
+ print(f"Error: {result['error']}")
+
+asyncio.run(get_prices())
+```
+
+## Collectors Summary
+
+### 1. Market Data (market_data.py)
+
+| Function | Provider | API Key Required | Description |
+|----------|----------|------------------|-------------|
+| `get_coingecko_simple_price()` | CoinGecko | No | BTC, ETH, BNB prices with market data |
+| `get_coinmarketcap_quotes()` | CoinMarketCap | Yes | Professional market data |
+| `get_binance_ticker()` | Binance | No | Real-time 24hr ticker |
+| `collect_market_data()` | All above | - | Collects from all sources |
+
+### 2. Blockchain Explorers (explorers.py)
+
+| Function | Provider | API Key Required | Description |
+|----------|----------|------------------|-------------|
+| `get_etherscan_gas_price()` | Etherscan | Yes | Current Ethereum gas prices |
+| `get_bscscan_bnb_price()` | BscScan | Yes | BNB price and BSC stats |
+| `get_tronscan_stats()` | TronScan | Optional | TRON network statistics |
+| `collect_explorer_data()` | All above | - | Collects from all sources |
+
+### 3. News Aggregation (news.py)
+
+| Function | Provider | API Key Required | Description |
+|----------|----------|------------------|-------------|
+| `get_cryptopanic_posts()` | CryptoPanic | No | Latest crypto news posts |
+| `get_newsapi_headlines()` | NewsAPI | Yes | Crypto-related headlines |
+| `collect_news_data()` | All above | - | Collects from all sources |
+
+### 4. Sentiment Analysis (sentiment.py)
+
+| Function | Provider | API Key Required | Description |
+|----------|----------|------------------|-------------|
+| `get_fear_greed_index()` | Alternative.me | No | Market Fear & Greed Index |
+| `collect_sentiment_data()` | All above | - | Collects from all sources |
+
+### 5. On-Chain Analytics (onchain.py)
+
+| Function | Provider | Status | Description |
+|----------|----------|--------|-------------|
+| `get_the_graph_data()` | The Graph | Placeholder | GraphQL blockchain data |
+| `get_blockchair_data()` | Blockchair | Placeholder | Blockchain statistics |
+| `get_glassnode_metrics()` | Glassnode | Placeholder | Advanced on-chain metrics |
+| `collect_onchain_data()` | All above | - | Collects from all sources |
+
+## API Keys Setup
+
+Create a `.env` file or set environment variables:
+
+```bash
+# Market Data
+export COINMARKETCAP_KEY_1="your_key_here"
+
+# Blockchain Explorers
+export ETHERSCAN_KEY_1="your_key_here"
+export BSCSCAN_KEY="your_key_here"
+export TRONSCAN_KEY="your_key_here"
+
+# News
+export NEWSAPI_KEY="your_key_here"
+```
+
+## Output Format
+
+All collectors return standardized format:
+
+```python
+{
+ "provider": "CoinGecko", # Provider name
+ "category": "market_data", # Category
+ "data": {...}, # Raw API response
+ "timestamp": "2025-11-11T00:20:00Z", # Collection time
+ "data_timestamp": "2025-11-11T00:19:30Z", # Data timestamp
+ "staleness_minutes": 0.5, # Data age
+ "success": True, # Success flag
+ "error": None, # Error message
+ "error_type": None, # Error type
+ "response_time_ms": 342.5 # Response time
+}
+```
+
+## Key Features
+
+✓ **Async/Concurrent** - All collectors run asynchronously
+✓ **Error Handling** - Comprehensive error handling and logging
+✓ **Staleness Tracking** - Calculates data age in minutes
+✓ **Rate Limiting** - Respects API rate limits
+✓ **Retry Logic** - Automatic retries with exponential backoff
+✓ **Structured Logging** - JSON-formatted logs
+✓ **API Key Management** - Secure key handling from environment
+✓ **Standardized Output** - Consistent response format
+✓ **Production Ready** - Ready for production deployment
+
+## Common Issues
+
+### 1. Missing API Keys
+
+```
+Error: API key required but not configured for CoinMarketCap
+```
+
+**Solution:** Set the required environment variable:
+```bash
+export COINMARKETCAP_KEY_1="your_api_key"
+```
+
+### 2. Rate Limit Exceeded
+
+```
+Error Type: rate_limit
+```
+
+**Solution:** Collectors automatically retry with backoff. Check rate limits in provider documentation.
+
+### 3. Network Timeout
+
+```
+Error Type: timeout
+```
+
+**Solution:** Collectors automatically increase timeout and retry. Check network connectivity.
+
+## Next Steps
+
+1. Run the demo: `python collectors/demo_collectors.py`
+2. Configure API keys for providers requiring authentication
+3. Integrate collectors into your monitoring system
+4. Implement on-chain collectors (currently placeholders)
+5. Add custom collectors following the existing patterns
+
+## Support
+
+- Full documentation: `collectors/README.md`
+- Demo script: `collectors/demo_collectors.py`
+- Configuration: `config.py`
+- API Client: `utils/api_client.py`
+- Logger: `utils/logger.py`
+
+---
+
+**Total Collectors:** 14 functions across 5 modules
+**Total Code:** ~75 KB of production-ready Python code
+**Status:** Ready for production use (except on-chain placeholders)
diff --git a/app/final/collectors/README.md b/app/final/collectors/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..996638cbff623d3c07302da00b3acbe47adb7375
--- /dev/null
+++ b/app/final/collectors/README.md
@@ -0,0 +1,507 @@
+# Cryptocurrency Data Collectors
+
+Comprehensive data collection modules for cryptocurrency APIs, blockchain explorers, news sources, sentiment indicators, and on-chain analytics.
+
+## Overview
+
+This package provides production-ready collectors for gathering cryptocurrency data from various sources. Each collector is designed with robust error handling, logging, staleness tracking, and standardized output formats.
+
+## Modules
+
+### 1. Market Data (`market_data.py`)
+
+Collects cryptocurrency market data from multiple providers.
+
+**Providers:**
+- **CoinGecko** - Free API for BTC, ETH, BNB prices with market cap and volume
+- **CoinMarketCap** - Professional market data with API key
+- **Binance** - Real-time ticker data from Binance exchange
+
+**Functions:**
+```python
+from collectors.market_data import (
+ get_coingecko_simple_price,
+ get_coinmarketcap_quotes,
+ get_binance_ticker,
+ collect_market_data # Collects from all sources
+)
+
+# Collect from all market data sources
+results = await collect_market_data()
+```
+
+**Features:**
+- Concurrent data collection
+- Price tracking with volume and market cap
+- 24-hour change percentages
+- Timestamp extraction for staleness calculation
+
+### 2. Blockchain Explorers (`explorers.py`)
+
+Collects data from blockchain explorers and network statistics.
+
+**Providers:**
+- **Etherscan** - Ethereum gas prices and network stats
+- **BscScan** - BNB prices and BSC network data
+- **TronScan** - TRON network statistics
+
+**Functions:**
+```python
+from collectors.explorers import (
+ get_etherscan_gas_price,
+ get_bscscan_bnb_price,
+ get_tronscan_stats,
+ collect_explorer_data # Collects from all sources
+)
+
+# Collect from all explorers
+results = await collect_explorer_data()
+```
+
+**Features:**
+- Real-time gas price tracking
+- Network health monitoring
+- API key management
+- Rate limit handling
+
+### 3. News Aggregation (`news.py`)
+
+Collects cryptocurrency news from multiple sources.
+
+**Providers:**
+- **CryptoPanic** - Cryptocurrency news aggregator with sentiment
+- **NewsAPI** - General news with crypto filtering
+
+**Functions:**
+```python
+from collectors.news import (
+ get_cryptopanic_posts,
+ get_newsapi_headlines,
+ collect_news_data # Collects from all sources
+)
+
+# Collect from all news sources
+results = await collect_news_data()
+```
+
+**Features:**
+- News post aggregation
+- Article timestamps for freshness tracking
+- Article count reporting
+- Content filtering
+
+### 4. Sentiment Analysis (`sentiment.py`)
+
+Collects cryptocurrency market sentiment data.
+
+**Providers:**
+- **Alternative.me** - Fear & Greed Index (0-100 scale)
+
+**Functions:**
+```python
+from collectors.sentiment import (
+ get_fear_greed_index,
+ collect_sentiment_data # Collects from all sources
+)
+
+# Collect sentiment data
+results = await collect_sentiment_data()
+```
+
+**Features:**
+- Market sentiment indicator (Fear/Greed)
+- Historical sentiment tracking
+- Classification (Extreme Fear, Fear, Neutral, Greed, Extreme Greed)
+
+### 5. On-Chain Analytics (`onchain.py`)
+
+Placeholder implementations for on-chain data sources.
+
+**Providers (Placeholder):**
+- **The Graph** - GraphQL-based blockchain data
+- **Blockchair** - Blockchain explorer and statistics
+- **Glassnode** - Advanced on-chain metrics
+
+**Functions:**
+```python
+from collectors.onchain import (
+ get_the_graph_data,
+ get_blockchair_data,
+ get_glassnode_metrics,
+ collect_onchain_data # Collects from all sources
+)
+
+# Collect on-chain data (placeholder)
+results = await collect_onchain_data()
+```
+
+**Planned Features:**
+- DEX volume and liquidity tracking
+- Token holder analytics
+- NUPL, SOPR, and other on-chain metrics
+- Exchange flow monitoring
+- Whale transaction tracking
+
+## Standard Output Format
+
+All collectors return a standardized dictionary format:
+
+```python
+{
+ "provider": str, # Provider name (e.g., "CoinGecko")
+ "category": str, # Category (e.g., "market_data")
+ "data": dict/list/None, # Raw API response data
+ "timestamp": str, # Collection timestamp (ISO format)
+ "data_timestamp": str/None, # Data timestamp from API (ISO format)
+ "staleness_minutes": float/None, # Age of data in minutes
+ "success": bool, # Whether collection succeeded
+ "error": str/None, # Error message if failed
+ "error_type": str/None, # Error classification
+ "response_time_ms": float # API response time
+}
+```
+
+## Common Features
+
+All collectors implement:
+
+1. **Error Handling**
+ - Graceful failure with detailed error messages
+ - Exception catching and logging
+ - API-specific error parsing
+
+2. **Logging**
+ - Structured JSON logging
+ - Request/response logging
+ - Error logging with context
+
+3. **Staleness Tracking**
+ - Extracts timestamps from API responses
+ - Calculates data age in minutes
+ - Handles missing timestamps
+
+4. **Rate Limiting**
+ - Respects provider rate limits
+ - Exponential backoff on failures
+ - Rate limit error detection
+
+5. **Retry Logic**
+ - Automatic retries on failure
+ - Configurable retry attempts
+ - Timeout handling
+
+6. **API Key Management**
+ - Loads keys from config
+ - Handles missing keys gracefully
+ - API key masking in logs
+
+## Usage Examples
+
+### Basic Usage
+
+```python
+import asyncio
+from collectors import collect_market_data
+
+async def main():
+ results = await collect_market_data()
+
+ for result in results:
+ if result['success']:
+ print(f"{result['provider']}: Success")
+ print(f" Staleness: {result['staleness_minutes']:.2f}m")
+ else:
+ print(f"{result['provider']}: Failed - {result['error']}")
+
+asyncio.run(main())
+```
+
+### Collecting All Data
+
+```python
+import asyncio
+from collectors import (
+ collect_market_data,
+ collect_explorer_data,
+ collect_news_data,
+ collect_sentiment_data,
+ collect_onchain_data
+)
+
+async def collect_all():
+ results = await asyncio.gather(
+ collect_market_data(),
+ collect_explorer_data(),
+ collect_news_data(),
+ collect_sentiment_data(),
+ collect_onchain_data()
+ )
+
+ market, explorers, news, sentiment, onchain = results
+
+ return {
+ "market_data": market,
+ "explorers": explorers,
+ "news": news,
+ "sentiment": sentiment,
+ "onchain": onchain
+ }
+
+all_data = asyncio.run(collect_all())
+```
+
+### Individual Collector Usage
+
+```python
+import asyncio
+from collectors.market_data import get_coingecko_simple_price
+
+async def get_prices():
+ result = await get_coingecko_simple_price()
+
+ if result['success']:
+ data = result['data']
+ print(f"Bitcoin: ${data['bitcoin']['usd']}")
+ print(f"Ethereum: ${data['ethereum']['usd']}")
+ print(f"BNB: ${data['binancecoin']['usd']}")
+
+asyncio.run(get_prices())
+```
+
+## Demo Script
+
+Run the comprehensive demo to test all collectors:
+
+```bash
+python collectors/demo_collectors.py
+```
+
+This will:
+- Execute all collectors concurrently
+- Display detailed results for each category
+- Show overall statistics
+- Save results to a JSON file
+
+## Configuration
+
+Collectors use the central configuration system from `config.py`:
+
+```python
+from config import config
+
+# Get provider configuration
+provider = config.get_provider('CoinGecko')
+
+# Get API key
+api_key = config.get_api_key('coinmarketcap')
+
+# Get providers by category
+market_providers = config.get_providers_by_category('market_data')
+```
+
+## API Keys
+
+API keys are loaded from environment variables:
+
+```bash
+# Market Data
+export COINMARKETCAP_KEY_1="your_key_here"
+export COINMARKETCAP_KEY_2="backup_key"
+
+# Blockchain Explorers
+export ETHERSCAN_KEY_1="your_key_here"
+export ETHERSCAN_KEY_2="backup_key"
+export BSCSCAN_KEY="your_key_here"
+export TRONSCAN_KEY="your_key_here"
+
+# News
+export NEWSAPI_KEY="your_key_here"
+
+# Analytics
+export CRYPTOCOMPARE_KEY="your_key_here"
+```
+
+Or use `.env` file with `python-dotenv`:
+
+```env
+COINMARKETCAP_KEY_1=your_key_here
+ETHERSCAN_KEY_1=your_key_here
+BSCSCAN_KEY=your_key_here
+NEWSAPI_KEY=your_key_here
+```
+
+## Dependencies
+
+- `aiohttp` - Async HTTP client
+- `asyncio` - Async programming
+- `datetime` - Timestamp handling
+- `utils.api_client` - Robust API client with retry logic
+- `utils.logger` - Structured JSON logging
+- `config` - Centralized configuration
+
+## Error Handling
+
+Collectors handle various error types:
+
+- **config_error** - Provider not configured
+- **missing_api_key** - API key required but not available
+- **authentication** - API key invalid or expired
+- **rate_limit** - Rate limit exceeded
+- **timeout** - Request timeout
+- **server_error** - API server error (5xx)
+- **network_error** - Network connectivity issue
+- **api_error** - API-specific error
+- **exception** - Unexpected Python exception
+
+## Extending Collectors
+
+To add a new collector:
+
+1. Create a new module or add to existing category
+2. Implement collector function following the standard pattern
+3. Use `get_client()` for API requests
+4. Extract and calculate staleness from timestamps
+5. Return standardized output format
+6. Add to `__init__.py` exports
+7. Update this README
+
+Example:
+
+```python
+async def get_new_provider_data() -> Dict[str, Any]:
+ """Fetch data from new provider"""
+ provider = "NewProvider"
+ category = "market_data"
+ endpoint = "/api/v1/data"
+
+ logger.info(f"Fetching data from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ # Make request
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ response = await client.get(url)
+
+ # Log request
+ log_api_request(
+ logger, provider, endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # Handle error
+ return {
+ "provider": provider,
+ "category": category,
+ "success": False,
+ "error": response.get("error_message")
+ }
+
+ # Parse data and timestamps
+ data = response["data"]
+ data_timestamp = # extract from response
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ log_error(logger, provider, "exception", str(e), endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "success": False,
+ "error": str(e),
+ "error_type": "exception"
+ }
+```
+
+## Testing
+
+Test individual collectors:
+
+```bash
+# Test market data collector
+python -m collectors.market_data
+
+# Test explorers
+python -m collectors.explorers
+
+# Test news
+python -m collectors.news
+
+# Test sentiment
+python -m collectors.sentiment
+
+# Test on-chain (placeholder)
+python -m collectors.onchain
+```
+
+## Performance
+
+- Collectors run concurrently using `asyncio.gather()`
+- Typical response times: 100-2000ms per collector
+- Connection pooling for efficiency
+- Configurable timeouts
+- Automatic retry with exponential backoff
+
+## Monitoring
+
+All collectors provide metrics for monitoring:
+
+- **Success Rate** - Percentage of successful collections
+- **Response Time** - API response time in milliseconds
+- **Staleness** - Data age in minutes
+- **Error Types** - Classification of failures
+- **Retry Count** - Number of retries needed
+
+## Future Enhancements
+
+1. **On-Chain Implementation**
+ - Complete The Graph integration
+ - Implement Blockchair endpoints
+ - Add Glassnode metrics
+
+2. **Additional Providers**
+ - Messari
+ - DeFiLlama
+ - CoinAPI
+ - Nomics
+
+3. **Advanced Features**
+ - Circuit breaker pattern
+ - Data caching
+ - Webhook notifications
+ - Real-time streaming
+
+4. **Performance**
+ - Redis caching
+ - Database persistence
+ - Rate limit optimization
+ - Parallel processing
+
+## Support
+
+For issues or questions:
+1. Check the logs for detailed error messages
+2. Verify API keys are configured correctly
+3. Review provider rate limits
+4. Check network connectivity
+5. Consult provider documentation
+
+## License
+
+Part of the Crypto API Monitoring system.
diff --git a/app/final/collectors/__init__.py b/app/final/collectors/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0e5e6f4649332c624ed0f2ddea0a3b7ad40d74e7
--- /dev/null
+++ b/app/final/collectors/__init__.py
@@ -0,0 +1,78 @@
+"""Lazy-loading facade for the collectors package.
+
+The historical codebase exposes a large number of helpers from individual
+collector modules (market data, news, explorers, etc.). Importing every module
+at package import time pulled in optional dependencies such as ``aiohttp`` that
+aren't installed in lightweight environments (e.g. CI for this repo). That
+meant a simple ``import collectors`` – even if the caller only needed
+``collectors.aggregator`` – would fail before any real work happened.
+
+This module now re-exports the legacy helpers on demand using ``__getattr__`` so
+that optional dependencies are only imported when absolutely necessary. The
+FastAPI backend can safely import ``collectors.aggregator`` (which does not rely
+on those heavier stacks) without tripping over missing extras.
+"""
+
+from __future__ import annotations
+
+import importlib
+from typing import Dict, Tuple
+
+__all__ = [
+ # Market data
+ "get_coingecko_simple_price",
+ "get_coinmarketcap_quotes",
+ "get_binance_ticker",
+ "collect_market_data",
+ # Explorers
+ "get_etherscan_gas_price",
+ "get_bscscan_bnb_price",
+ "get_tronscan_stats",
+ "collect_explorer_data",
+ # News
+ "get_cryptopanic_posts",
+ "get_newsapi_headlines",
+ "collect_news_data",
+ # Sentiment
+ "get_fear_greed_index",
+ "collect_sentiment_data",
+ # On-chain
+ "get_the_graph_data",
+ "get_blockchair_data",
+ "get_glassnode_metrics",
+ "collect_onchain_data",
+]
+
+_EXPORT_MAP: Dict[str, Tuple[str, str]] = {
+ "get_coingecko_simple_price": ("collectors.market_data", "get_coingecko_simple_price"),
+ "get_coinmarketcap_quotes": ("collectors.market_data", "get_coinmarketcap_quotes"),
+ "get_binance_ticker": ("collectors.market_data", "get_binance_ticker"),
+ "collect_market_data": ("collectors.market_data", "collect_market_data"),
+ "get_etherscan_gas_price": ("collectors.explorers", "get_etherscan_gas_price"),
+ "get_bscscan_bnb_price": ("collectors.explorers", "get_bscscan_bnb_price"),
+ "get_tronscan_stats": ("collectors.explorers", "get_tronscan_stats"),
+ "collect_explorer_data": ("collectors.explorers", "collect_explorer_data"),
+ "get_cryptopanic_posts": ("collectors.news", "get_cryptopanic_posts"),
+ "get_newsapi_headlines": ("collectors.news", "get_newsapi_headlines"),
+ "collect_news_data": ("collectors.news", "collect_news_data"),
+ "get_fear_greed_index": ("collectors.sentiment", "get_fear_greed_index"),
+ "collect_sentiment_data": ("collectors.sentiment", "collect_sentiment_data"),
+ "get_the_graph_data": ("collectors.onchain", "get_the_graph_data"),
+ "get_blockchair_data": ("collectors.onchain", "get_blockchair_data"),
+ "get_glassnode_metrics": ("collectors.onchain", "get_glassnode_metrics"),
+ "collect_onchain_data": ("collectors.onchain", "collect_onchain_data"),
+}
+
+
+def __getattr__(name: str): # pragma: no cover - thin wrapper
+ if name not in _EXPORT_MAP:
+ raise AttributeError(f"module 'collectors' has no attribute '{name}'")
+
+ module_name, attr_name = _EXPORT_MAP[name]
+ module = importlib.import_module(module_name)
+ attr = getattr(module, attr_name)
+ globals()[name] = attr
+ return attr
+
+
+__all__.extend(["__getattr__"])
diff --git a/app/final/collectors/__pycache__/__init__.cpython-313.pyc b/app/final/collectors/__pycache__/__init__.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..aa47cdfb104e0f5dc34381a5d6e7d5684cc364b8
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diff --git a/app/final/collectors/__pycache__/aggregator.cpython-313.pyc b/app/final/collectors/__pycache__/aggregator.cpython-313.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..1d3284417fb66a8aab03179861045b67eb1f4dcd
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diff --git a/app/final/collectors/aggregator.py b/app/final/collectors/aggregator.py
new file mode 100644
index 0000000000000000000000000000000000000000..7f90730174148dc812889f9debaccab1946699f3
--- /dev/null
+++ b/app/final/collectors/aggregator.py
@@ -0,0 +1,512 @@
+"""Async collectors that power the FastAPI endpoints."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import time
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+import httpx
+
+from config import CACHE_TTL, COIN_SYMBOL_MAPPING, USER_AGENT, get_settings
+
+logger = logging.getLogger(__name__)
+settings = get_settings()
+
+
+class CollectorError(RuntimeError):
+ """Raised when a provider fails to return data."""
+
+ def __init__(self, message: str, provider: Optional[str] = None, status_code: Optional[int] = None):
+ super().__init__(message)
+ self.provider = provider
+ self.status_code = status_code
+
+
+@dataclass
+class CacheEntry:
+ value: Any
+ expires_at: float
+
+
+class TTLCache:
+ """Simple in-memory TTL cache safe for async usage."""
+
+ def __init__(self, ttl: int = CACHE_TTL) -> None:
+ self.ttl = ttl or CACHE_TTL
+ self._store: Dict[str, CacheEntry] = {}
+ self._lock = asyncio.Lock()
+
+ async def get(self, key: str) -> Any:
+ async with self._lock:
+ entry = self._store.get(key)
+ if not entry:
+ return None
+ if entry.expires_at < time.time():
+ self._store.pop(key, None)
+ return None
+ return entry.value
+
+ async def set(self, key: str, value: Any) -> None:
+ async with self._lock:
+ self._store[key] = CacheEntry(value=value, expires_at=time.time() + self.ttl)
+
+
+class ProvidersRegistry:
+ """Utility that loads provider definitions from disk."""
+
+ def __init__(self, path: Optional[Path] = None) -> None:
+ self.path = Path(path or settings.providers_config_path)
+ self._providers: Dict[str, Any] = {}
+ self._load()
+
+ def _load(self) -> None:
+ if not self.path.exists():
+ logger.warning("Providers config not found at %s", self.path)
+ self._providers = {}
+ return
+ with self.path.open("r", encoding="utf-8") as handle:
+ data = json.load(handle)
+ self._providers = data.get("providers", {})
+
+ @property
+ def providers(self) -> Dict[str, Any]:
+ return self._providers
+
+
+class MarketDataCollector:
+ """Fetch market data from public providers with caching and fallbacks."""
+
+ def __init__(self, registry: Optional[ProvidersRegistry] = None) -> None:
+ self.registry = registry or ProvidersRegistry()
+ self.cache = TTLCache(settings.cache_ttl)
+ self._symbol_map = {symbol.lower(): coin_id for coin_id, symbol in COIN_SYMBOL_MAPPING.items()}
+ self.headers = {"User-Agent": settings.user_agent or USER_AGENT}
+ self.timeout = 15.0
+ self._last_error_log: Dict[str, float] = {} # Track last error log time per provider
+ self._error_log_throttle = 60.0 # Only log same error once per 60 seconds
+
+ async def _request(self, provider_key: str, path: str, params: Optional[Dict[str, Any]] = None) -> Any:
+ provider = self.registry.providers.get(provider_key)
+ if not provider:
+ raise CollectorError(f"Provider {provider_key} not configured", provider=provider_key)
+
+ url = provider["base_url"].rstrip("/") + path
+
+ # Rate limit tracking per provider
+ if not hasattr(self, '_rate_limit_timestamps'):
+ self._rate_limit_timestamps: Dict[str, List[float]] = {}
+ if provider_key not in self._rate_limit_timestamps:
+ self._rate_limit_timestamps[provider_key] = []
+
+ # Get rate limits from provider config
+ rate_limit_rpm = provider.get("rate_limit", {}).get("requests_per_minute", 30)
+ if rate_limit_rpm and len(self._rate_limit_timestamps[provider_key]) >= rate_limit_rpm:
+ # Check if oldest request is older than 1 minute
+ oldest_time = self._rate_limit_timestamps[provider_key][0]
+ if time.time() - oldest_time < 60:
+ wait_time = 60 - (time.time() - oldest_time) + 1
+ if self._should_log_error(provider_key, "rate_limit_wait"):
+ logger.warning(f"Rate limiting {provider_key}, waiting {wait_time:.1f}s")
+ await asyncio.sleep(wait_time)
+ # Clean old timestamps
+ cutoff = time.time() - 60
+ self._rate_limit_timestamps[provider_key] = [
+ ts for ts in self._rate_limit_timestamps[provider_key] if ts > cutoff
+ ]
+
+ async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers) as client:
+ response = await client.get(url, params=params)
+
+ # Record request timestamp
+ self._rate_limit_timestamps[provider_key].append(time.time())
+ # Keep only last minute of timestamps
+ cutoff = time.time() - 60
+ self._rate_limit_timestamps[provider_key] = [
+ ts for ts in self._rate_limit_timestamps[provider_key] if ts > cutoff
+ ]
+
+ # Handle HTTP 429 (Rate Limit) with exponential backoff
+ if response.status_code == 429:
+ retry_after = int(response.headers.get("Retry-After", "60"))
+ error_msg = f"{provider_key} rate limited (HTTP 429), retry after {retry_after}s"
+
+ if self._should_log_error(provider_key, "HTTP 429"):
+ logger.warning(error_msg)
+
+ raise CollectorError(
+ error_msg,
+ provider=provider_key,
+ status_code=429,
+ )
+
+ if response.status_code != 200:
+ raise CollectorError(
+ f"{provider_key} request failed with HTTP {response.status_code}",
+ provider=provider_key,
+ status_code=response.status_code,
+ )
+ return response.json()
+
+ def _should_log_error(self, provider: str, error_msg: str) -> bool:
+ """Check if error should be logged (throttle repeated errors)."""
+ error_key = f"{provider}:{error_msg}"
+ now = time.time()
+ last_log_time = self._last_error_log.get(error_key, 0)
+
+ if now - last_log_time > self._error_log_throttle:
+ self._last_error_log[error_key] = now
+ # Clean up old entries (keep only last hour)
+ cutoff = now - 3600
+ self._last_error_log = {k: v for k, v in self._last_error_log.items() if v > cutoff}
+ return True
+ return False
+
+ async def get_top_coins(self, limit: int = 10) -> List[Dict[str, Any]]:
+ cache_key = f"top_coins:{limit}"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ # Provider list with priority order (add more fallbacks from resource files)
+ providers = ["coingecko", "coincap", "coinpaprika"]
+ last_error: Optional[Exception] = None
+ last_error_details: Optional[str] = None
+
+ for provider in providers:
+ try:
+ if provider == "coingecko":
+ data = await self._request(
+ "coingecko",
+ "/coins/markets",
+ {
+ "vs_currency": "usd",
+ "order": "market_cap_desc",
+ "per_page": limit,
+ "page": 1,
+ "sparkline": "false",
+ "price_change_percentage": "24h",
+ },
+ )
+ coins = [
+ {
+ "name": item.get("name"),
+ "symbol": item.get("symbol", "").upper(),
+ "price": item.get("current_price"),
+ "change_24h": item.get("price_change_percentage_24h"),
+ "market_cap": item.get("market_cap"),
+ "volume_24h": item.get("total_volume"),
+ "rank": item.get("market_cap_rank"),
+ "last_updated": item.get("last_updated"),
+ }
+ for item in data
+ ]
+ await self.cache.set(cache_key, coins)
+ return coins
+
+ if provider == "coincap":
+ data = await self._request("coincap", "/assets", {"limit": limit})
+ coins = [
+ {
+ "name": item.get("name"),
+ "symbol": item.get("symbol", "").upper(),
+ "price": float(item.get("priceUsd", 0)),
+ "change_24h": float(item.get("changePercent24Hr", 0)),
+ "market_cap": float(item.get("marketCapUsd", 0)),
+ "volume_24h": float(item.get("volumeUsd24Hr", 0)),
+ "rank": int(item.get("rank", 0)),
+ }
+ for item in data.get("data", [])
+ ]
+ await self.cache.set(cache_key, coins)
+ return coins
+
+ if provider == "coinpaprika":
+ data = await self._request("coinpaprika", "/tickers", {"quotes": "USD", "limit": limit})
+ coins = [
+ {
+ "name": item.get("name"),
+ "symbol": item.get("symbol", "").upper(),
+ "price": float(item.get("quotes", {}).get("USD", {}).get("price", 0)),
+ "change_24h": float(item.get("quotes", {}).get("USD", {}).get("percent_change_24h", 0)),
+ "market_cap": float(item.get("quotes", {}).get("USD", {}).get("market_cap", 0)),
+ "volume_24h": float(item.get("quotes", {}).get("USD", {}).get("volume_24h", 0)),
+ "rank": int(item.get("rank", 0)),
+ "last_updated": item.get("last_updated"),
+ }
+ for item in data[:limit] if item.get("quotes", {}).get("USD")
+ ]
+ await self.cache.set(cache_key, coins)
+ return coins
+ except Exception as exc: # pragma: no cover - network heavy
+ last_error = exc
+ error_msg = str(exc) if str(exc) else repr(exc)
+ error_type = type(exc).__name__
+
+ # Extract HTTP status code if available
+ if hasattr(exc, 'status_code'):
+ status_code = exc.status_code
+ error_msg = f"HTTP {status_code}: {error_msg}" if error_msg else f"HTTP {status_code}"
+ elif isinstance(exc, CollectorError) and hasattr(exc, 'status_code') and exc.status_code:
+ status_code = exc.status_code
+ error_msg = f"HTTP {status_code}: {error_msg}" if error_msg else f"HTTP {status_code}"
+
+ # Ensure we always have a meaningful error message
+ if not error_msg or error_msg.strip() == "":
+ error_msg = f"{error_type} (no details available)"
+
+ last_error_details = f"{error_type}: {error_msg}"
+
+ # Throttle error logging to prevent spam
+ error_key_for_logging = error_msg or error_type
+ if self._should_log_error(provider, error_key_for_logging):
+ logger.warning(
+ "Provider %s failed: %s (error logged, will suppress similar errors for 60s)",
+ provider,
+ last_error_details
+ )
+
+ raise CollectorError(f"Unable to fetch top coins from any provider. Last error: {last_error_details or 'Unknown'}", provider=str(last_error) if last_error else None)
+
+ async def _coin_id(self, symbol: str) -> str:
+ symbol_lower = symbol.lower()
+ if symbol_lower in self._symbol_map:
+ return self._symbol_map[symbol_lower]
+
+ cache_key = "coingecko:symbols"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ mapping = cached
+ else:
+ data = await self._request("coingecko", "/coins/list")
+ mapping = {item["symbol"].lower(): item["id"] for item in data}
+ await self.cache.set(cache_key, mapping)
+
+ if symbol_lower not in mapping:
+ raise CollectorError(f"Unknown symbol: {symbol}")
+
+ return mapping[symbol_lower]
+
+ async def get_coin_details(self, symbol: str) -> Dict[str, Any]:
+ coin_id = await self._coin_id(symbol)
+ cache_key = f"coin:{coin_id}"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ data = await self._request(
+ "coingecko",
+ f"/coins/{coin_id}",
+ {"localization": "false", "tickers": "false", "market_data": "true"},
+ )
+ market_data = data.get("market_data", {})
+ coin = {
+ "id": coin_id,
+ "name": data.get("name"),
+ "symbol": data.get("symbol", "").upper(),
+ "description": data.get("description", {}).get("en"),
+ "homepage": data.get("links", {}).get("homepage", [None])[0],
+ "price": market_data.get("current_price", {}).get("usd"),
+ "market_cap": market_data.get("market_cap", {}).get("usd"),
+ "volume_24h": market_data.get("total_volume", {}).get("usd"),
+ "change_24h": market_data.get("price_change_percentage_24h"),
+ "high_24h": market_data.get("high_24h", {}).get("usd"),
+ "low_24h": market_data.get("low_24h", {}).get("usd"),
+ "circulating_supply": market_data.get("circulating_supply"),
+ "total_supply": market_data.get("total_supply"),
+ "ath": market_data.get("ath", {}).get("usd"),
+ "atl": market_data.get("atl", {}).get("usd"),
+ "last_updated": data.get("last_updated"),
+ }
+ await self.cache.set(cache_key, coin)
+ return coin
+
+ async def get_market_stats(self) -> Dict[str, Any]:
+ cache_key = "market:stats"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ global_data = await self._request("coingecko", "/global")
+ stats = global_data.get("data", {})
+ market = {
+ "total_market_cap": stats.get("total_market_cap", {}).get("usd"),
+ "total_volume_24h": stats.get("total_volume", {}).get("usd"),
+ "market_cap_change_percentage_24h": stats.get("market_cap_change_percentage_24h_usd"),
+ "btc_dominance": stats.get("market_cap_percentage", {}).get("btc"),
+ "eth_dominance": stats.get("market_cap_percentage", {}).get("eth"),
+ "active_cryptocurrencies": stats.get("active_cryptocurrencies"),
+ "markets": stats.get("markets"),
+ "updated_at": stats.get("updated_at"),
+ }
+ await self.cache.set(cache_key, market)
+ return market
+
+ async def get_price_history(self, symbol: str, timeframe: str = "7d") -> List[Dict[str, Any]]:
+ coin_id = await self._coin_id(symbol)
+ mapping = {"1d": 1, "7d": 7, "30d": 30, "90d": 90}
+ days = mapping.get(timeframe, 7)
+ cache_key = f"history:{coin_id}:{days}"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ data = await self._request(
+ "coingecko",
+ f"/coins/{coin_id}/market_chart",
+ {"vs_currency": "usd", "days": days},
+ )
+ prices = [
+ {
+ "timestamp": datetime.fromtimestamp(point[0] / 1000, tz=timezone.utc).isoformat(),
+ "price": round(point[1], 4),
+ }
+ for point in data.get("prices", [])
+ ]
+ await self.cache.set(cache_key, prices)
+ return prices
+
+ async def get_ohlcv(self, symbol: str, interval: str = "1h", limit: int = 100) -> List[Dict[str, Any]]:
+ """Return OHLCV data from Binance with caching and validation."""
+
+ cache_key = f"ohlcv:{symbol.upper()}:{interval}:{limit}"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ params = {"symbol": symbol.upper(), "interval": interval, "limit": min(max(limit, 1), 1000)}
+ data = await self._request("binance", "/klines", params)
+
+ candles: List[Dict[str, Any]] = []
+ for item in data:
+ try:
+ candles.append(
+ {
+ "timestamp": datetime.fromtimestamp(item[0] / 1000, tz=timezone.utc).isoformat(),
+ "open": float(item[1]),
+ "high": float(item[2]),
+ "low": float(item[3]),
+ "close": float(item[4]),
+ "volume": float(item[5]),
+ }
+ )
+ except (TypeError, ValueError): # pragma: no cover - defensive
+ continue
+
+ if not candles:
+ raise CollectorError(f"No OHLCV data returned for {symbol}", provider="binance")
+
+ await self.cache.set(cache_key, candles)
+ return candles
+
+
+class NewsCollector:
+ """Fetch latest crypto news."""
+
+ def __init__(self, registry: Optional[ProvidersRegistry] = None) -> None:
+ self.registry = registry or ProvidersRegistry()
+ self.cache = TTLCache(settings.cache_ttl)
+ self.headers = {"User-Agent": settings.user_agent or USER_AGENT}
+ self.timeout = 15.0
+
+ async def get_latest_news(self, limit: int = 10) -> List[Dict[str, Any]]:
+ cache_key = f"news:{limit}"
+ cached = await self.cache.get(cache_key)
+ if cached:
+ return cached
+
+ url = "https://min-api.cryptocompare.com/data/v2/news/"
+ params = {"lang": "EN"}
+ async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers) as client:
+ response = await client.get(url, params=params)
+ if response.status_code != 200:
+ raise CollectorError(f"News provider error: HTTP {response.status_code}")
+
+ payload = response.json()
+ items = []
+ for entry in payload.get("Data", [])[:limit]:
+ published = datetime.fromtimestamp(entry.get("published_on", 0), tz=timezone.utc)
+ items.append(
+ {
+ "id": entry.get("id"),
+ "title": entry.get("title"),
+ "body": entry.get("body"),
+ "url": entry.get("url"),
+ "source": entry.get("source"),
+ "categories": entry.get("categories"),
+ "published_at": published.isoformat(),
+ }
+ )
+
+ await self.cache.set(cache_key, items)
+ return items
+
+
+class ProviderStatusCollector:
+ """Perform lightweight health checks against configured providers."""
+
+ def __init__(self, registry: Optional[ProvidersRegistry] = None) -> None:
+ self.registry = registry or ProvidersRegistry()
+ self.cache = TTLCache(max(settings.cache_ttl, 600))
+ self.headers = {"User-Agent": settings.user_agent or USER_AGENT}
+ self.timeout = 8.0
+
+ async def _check_provider(self, client: httpx.AsyncClient, provider_id: str, data: Dict[str, Any]) -> Dict[str, Any]:
+ url = data.get("health_check") or data.get("base_url")
+ start = time.perf_counter()
+ try:
+ response = await client.get(url, timeout=self.timeout)
+ latency = round((time.perf_counter() - start) * 1000, 2)
+ status = "online" if response.status_code < 400 else "degraded"
+ return {
+ "provider_id": provider_id,
+ "name": data.get("name", provider_id),
+ "category": data.get("category"),
+ "status": status,
+ "status_code": response.status_code,
+ "latency_ms": latency,
+ }
+ except Exception as exc: # pragma: no cover - network heavy
+ error_msg = str(exc)
+ error_type = type(exc).__name__
+ logger.warning("Provider %s health check failed: %s: %s", provider_id, error_type, error_msg)
+ return {
+ "provider_id": provider_id,
+ "name": data.get("name", provider_id),
+ "category": data.get("category"),
+ "status": "offline",
+ "status_code": None,
+ "latency_ms": None,
+ "error": str(exc),
+ }
+
+ async def get_providers_status(self) -> List[Dict[str, Any]]:
+ cached = await self.cache.get("providers_status")
+ if cached:
+ return cached
+
+ providers = self.registry.providers
+ if not providers:
+ return []
+
+ results: List[Dict[str, Any]] = []
+ async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers) as client:
+ tasks = [self._check_provider(client, pid, data) for pid, data in providers.items()]
+ for chunk in asyncio.as_completed(tasks):
+ results.append(await chunk)
+
+ await self.cache.set("providers_status", results)
+ return results
+
+
+__all__ = [
+ "CollectorError",
+ "MarketDataCollector",
+ "NewsCollector",
+ "ProviderStatusCollector",
+]
diff --git a/app/final/collectors/data_persistence.py b/app/final/collectors/data_persistence.py
new file mode 100644
index 0000000000000000000000000000000000000000..ad1526fbbc75bea9b7b5531e6067ba3985ebc7a5
--- /dev/null
+++ b/app/final/collectors/data_persistence.py
@@ -0,0 +1,500 @@
+"""
+Data Persistence Module
+Saves collected data from all collectors into the database
+"""
+
+from datetime import datetime
+from typing import Dict, List, Any, Optional
+from database.db_manager import db_manager
+from utils.logger import setup_logger
+
+logger = setup_logger("data_persistence")
+
+
+class DataPersistence:
+ """
+ Handles saving collected data to the database
+ """
+
+ def __init__(self):
+ """Initialize data persistence"""
+ self.stats = {
+ 'market_prices_saved': 0,
+ 'news_saved': 0,
+ 'sentiment_saved': 0,
+ 'whale_txs_saved': 0,
+ 'gas_prices_saved': 0,
+ 'blockchain_stats_saved': 0
+ }
+
+ def reset_stats(self):
+ """Reset persistence statistics"""
+ for key in self.stats:
+ self.stats[key] = 0
+
+ def get_stats(self) -> Dict[str, int]:
+ """Get persistence statistics"""
+ return self.stats.copy()
+
+ def save_market_data(self, results: List[Dict[str, Any]]) -> int:
+ """
+ Save market data to database
+
+ Args:
+ results: List of market data results from collectors
+
+ Returns:
+ Number of prices saved
+ """
+ saved_count = 0
+
+ for result in results:
+ if not result.get('success', False):
+ continue
+
+ provider = result.get('provider', 'Unknown')
+ data = result.get('data')
+
+ if not data:
+ continue
+
+ try:
+ # CoinGecko format
+ if provider == "CoinGecko" and isinstance(data, dict):
+ # Map CoinGecko coin IDs to symbols
+ symbol_map = {
+ 'bitcoin': 'BTC',
+ 'ethereum': 'ETH',
+ 'binancecoin': 'BNB'
+ }
+
+ for coin_id, coin_data in data.items():
+ if isinstance(coin_data, dict) and 'usd' in coin_data:
+ symbol = symbol_map.get(coin_id, coin_id.upper())
+
+ db_manager.save_market_price(
+ symbol=symbol,
+ price_usd=coin_data.get('usd', 0),
+ market_cap=coin_data.get('usd_market_cap'),
+ volume_24h=coin_data.get('usd_24h_vol'),
+ price_change_24h=coin_data.get('usd_24h_change'),
+ source=provider
+ )
+ saved_count += 1
+
+ # Binance format
+ elif provider == "Binance" and isinstance(data, dict):
+ # Binance returns symbol -> price mapping
+ for symbol, price in data.items():
+ if isinstance(price, (int, float)):
+ # Remove "USDT" suffix if present
+ clean_symbol = symbol.replace('USDT', '')
+
+ db_manager.save_market_price(
+ symbol=clean_symbol,
+ price_usd=float(price),
+ source=provider
+ )
+ saved_count += 1
+
+ # CoinMarketCap format
+ elif provider == "CoinMarketCap" and isinstance(data, dict):
+ if 'data' in data:
+ for coin_id, coin_data in data['data'].items():
+ if isinstance(coin_data, dict):
+ symbol = coin_data.get('symbol', '').upper()
+ quote_usd = coin_data.get('quote', {}).get('USD', {})
+
+ if symbol and quote_usd:
+ db_manager.save_market_price(
+ symbol=symbol,
+ price_usd=quote_usd.get('price', 0),
+ market_cap=quote_usd.get('market_cap'),
+ volume_24h=quote_usd.get('volume_24h'),
+ price_change_24h=quote_usd.get('percent_change_24h'),
+ source=provider
+ )
+ saved_count += 1
+
+ except Exception as e:
+ logger.error(f"Error saving market data from {provider}: {e}", exc_info=True)
+
+ self.stats['market_prices_saved'] += saved_count
+ if saved_count > 0:
+ logger.info(f"Saved {saved_count} market prices to database")
+
+ return saved_count
+
+ def save_news_data(self, results: List[Dict[str, Any]]) -> int:
+ """
+ Save news data to database
+
+ Args:
+ results: List of news results from collectors
+
+ Returns:
+ Number of articles saved
+ """
+ saved_count = 0
+
+ for result in results:
+ if not result.get('success', False):
+ continue
+
+ provider = result.get('provider', 'Unknown')
+ data = result.get('data')
+
+ if not data:
+ continue
+
+ try:
+ # CryptoPanic format
+ if provider == "CryptoPanic" and isinstance(data, dict):
+ results_list = data.get('results', [])
+
+ for article in results_list:
+ if not isinstance(article, dict):
+ continue
+
+ # Parse published_at
+ published_at = None
+ if 'created_at' in article:
+ try:
+ pub_str = article['created_at']
+ if pub_str.endswith('Z'):
+ pub_str = pub_str.replace('Z', '+00:00')
+ published_at = datetime.fromisoformat(pub_str)
+ except:
+ published_at = datetime.utcnow()
+
+ if not published_at:
+ published_at = datetime.utcnow()
+
+ # Extract currencies as tags
+ currencies = article.get('currencies', [])
+ tags = ','.join([c.get('code', '') for c in currencies if isinstance(c, dict)])
+
+ db_manager.save_news_article(
+ title=article.get('title', ''),
+ content=article.get('body', ''),
+ source=provider,
+ url=article.get('url', ''),
+ published_at=published_at,
+ sentiment=article.get('sentiment'),
+ tags=tags
+ )
+ saved_count += 1
+
+ # NewsAPI format (newsdata.io)
+ elif provider == "NewsAPI" and isinstance(data, dict):
+ results_list = data.get('results', [])
+
+ for article in results_list:
+ if not isinstance(article, dict):
+ continue
+
+ # Parse published_at
+ published_at = None
+ if 'pubDate' in article:
+ try:
+ pub_str = article['pubDate']
+ if pub_str.endswith('Z'):
+ pub_str = pub_str.replace('Z', '+00:00')
+ published_at = datetime.fromisoformat(pub_str)
+ except:
+ published_at = datetime.utcnow()
+
+ if not published_at:
+ published_at = datetime.utcnow()
+
+ # Extract keywords as tags
+ keywords = article.get('keywords', [])
+ tags = ','.join(keywords) if isinstance(keywords, list) else ''
+
+ db_manager.save_news_article(
+ title=article.get('title', ''),
+ content=article.get('description', ''),
+ source=provider,
+ url=article.get('link', ''),
+ published_at=published_at,
+ tags=tags
+ )
+ saved_count += 1
+
+ except Exception as e:
+ logger.error(f"Error saving news data from {provider}: {e}", exc_info=True)
+
+ self.stats['news_saved'] += saved_count
+ if saved_count > 0:
+ logger.info(f"Saved {saved_count} news articles to database")
+
+ return saved_count
+
+ def save_sentiment_data(self, results: List[Dict[str, Any]]) -> int:
+ """
+ Save sentiment data to database
+
+ Args:
+ results: List of sentiment results from collectors
+
+ Returns:
+ Number of sentiment metrics saved
+ """
+ saved_count = 0
+
+ for result in results:
+ if not result.get('success', False):
+ continue
+
+ provider = result.get('provider', 'Unknown')
+ data = result.get('data')
+
+ if not data:
+ continue
+
+ try:
+ # Fear & Greed Index format
+ if provider == "AlternativeMe" and isinstance(data, dict):
+ data_list = data.get('data', [])
+
+ if data_list and isinstance(data_list, list):
+ index_data = data_list[0]
+
+ if isinstance(index_data, dict):
+ value = float(index_data.get('value', 50))
+ value_classification = index_data.get('value_classification', 'neutral')
+
+ # Map classification to standard format
+ classification_map = {
+ 'Extreme Fear': 'extreme_fear',
+ 'Fear': 'fear',
+ 'Neutral': 'neutral',
+ 'Greed': 'greed',
+ 'Extreme Greed': 'extreme_greed'
+ }
+
+ classification = classification_map.get(
+ value_classification,
+ value_classification.lower().replace(' ', '_')
+ )
+
+ # Parse timestamp
+ timestamp = None
+ if 'timestamp' in index_data:
+ try:
+ timestamp = datetime.fromtimestamp(int(index_data['timestamp']))
+ except:
+ pass
+
+ db_manager.save_sentiment_metric(
+ metric_name='fear_greed_index',
+ value=value,
+ classification=classification,
+ source=provider,
+ timestamp=timestamp
+ )
+ saved_count += 1
+
+ except Exception as e:
+ logger.error(f"Error saving sentiment data from {provider}: {e}", exc_info=True)
+
+ self.stats['sentiment_saved'] += saved_count
+ if saved_count > 0:
+ logger.info(f"Saved {saved_count} sentiment metrics to database")
+
+ return saved_count
+
+ def save_whale_data(self, results: List[Dict[str, Any]]) -> int:
+ """
+ Save whale transaction data to database
+
+ Args:
+ results: List of whale tracking results from collectors
+
+ Returns:
+ Number of whale transactions saved
+ """
+ saved_count = 0
+
+ for result in results:
+ if not result.get('success', False):
+ continue
+
+ provider = result.get('provider', 'Unknown')
+ data = result.get('data')
+
+ if not data:
+ continue
+
+ try:
+ # WhaleAlert format
+ if provider == "WhaleAlert" and isinstance(data, dict):
+ transactions = data.get('transactions', [])
+
+ for tx in transactions:
+ if not isinstance(tx, dict):
+ continue
+
+ # Parse timestamp
+ timestamp = None
+ if 'timestamp' in tx:
+ try:
+ timestamp = datetime.fromtimestamp(tx['timestamp'])
+ except:
+ timestamp = datetime.utcnow()
+
+ if not timestamp:
+ timestamp = datetime.utcnow()
+
+ # Extract addresses
+ from_address = tx.get('from', {}).get('address', '') if isinstance(tx.get('from'), dict) else ''
+ to_address = tx.get('to', {}).get('address', '') if isinstance(tx.get('to'), dict) else ''
+
+ db_manager.save_whale_transaction(
+ blockchain=tx.get('blockchain', 'unknown'),
+ transaction_hash=tx.get('hash', ''),
+ from_address=from_address,
+ to_address=to_address,
+ amount=float(tx.get('amount', 0)),
+ amount_usd=float(tx.get('amount_usd', 0)),
+ source=provider,
+ timestamp=timestamp
+ )
+ saved_count += 1
+
+ except Exception as e:
+ logger.error(f"Error saving whale data from {provider}: {e}", exc_info=True)
+
+ self.stats['whale_txs_saved'] += saved_count
+ if saved_count > 0:
+ logger.info(f"Saved {saved_count} whale transactions to database")
+
+ return saved_count
+
+ def save_blockchain_data(self, results: List[Dict[str, Any]]) -> int:
+ """
+ Save blockchain data (gas prices, stats) to database
+
+ Args:
+ results: List of blockchain results from collectors
+
+ Returns:
+ Number of records saved
+ """
+ saved_count = 0
+
+ for result in results:
+ if not result.get('success', False):
+ continue
+
+ provider = result.get('provider', 'Unknown')
+ data = result.get('data')
+
+ if not data:
+ continue
+
+ try:
+ # Etherscan gas price format
+ if provider == "Etherscan" and isinstance(data, dict):
+ if 'result' in data:
+ gas_data = data['result']
+
+ if isinstance(gas_data, dict):
+ db_manager.save_gas_price(
+ blockchain='ethereum',
+ gas_price_gwei=float(gas_data.get('ProposeGasPrice', 0)),
+ fast_gas_price=float(gas_data.get('FastGasPrice', 0)),
+ standard_gas_price=float(gas_data.get('ProposeGasPrice', 0)),
+ slow_gas_price=float(gas_data.get('SafeGasPrice', 0)),
+ source=provider
+ )
+ saved_count += 1
+ self.stats['gas_prices_saved'] += 1
+
+ # Other blockchain explorers
+ elif provider in ["BSCScan", "PolygonScan"]:
+ blockchain_map = {
+ "BSCScan": "bsc",
+ "PolygonScan": "polygon"
+ }
+ blockchain = blockchain_map.get(provider, provider.lower())
+
+ if 'result' in data and isinstance(data['result'], dict):
+ gas_data = data['result']
+
+ db_manager.save_gas_price(
+ blockchain=blockchain,
+ gas_price_gwei=float(gas_data.get('ProposeGasPrice', 0)),
+ fast_gas_price=float(gas_data.get('FastGasPrice', 0)),
+ standard_gas_price=float(gas_data.get('ProposeGasPrice', 0)),
+ slow_gas_price=float(gas_data.get('SafeGasPrice', 0)),
+ source=provider
+ )
+ saved_count += 1
+ self.stats['gas_prices_saved'] += 1
+
+ except Exception as e:
+ logger.error(f"Error saving blockchain data from {provider}: {e}", exc_info=True)
+
+ if saved_count > 0:
+ logger.info(f"Saved {saved_count} blockchain records to database")
+
+ return saved_count
+
+ def save_all_data(self, results: Dict[str, Any]) -> Dict[str, int]:
+ """
+ Save all collected data to database
+
+ Args:
+ results: Results dictionary from master collector
+
+ Returns:
+ Dictionary with save statistics
+ """
+ logger.info("=" * 60)
+ logger.info("Saving collected data to database...")
+ logger.info("=" * 60)
+
+ self.reset_stats()
+
+ data = results.get('data', {})
+
+ # Save market data
+ if 'market_data' in data:
+ self.save_market_data(data['market_data'])
+
+ # Save news data
+ if 'news' in data:
+ self.save_news_data(data['news'])
+
+ # Save sentiment data
+ if 'sentiment' in data:
+ self.save_sentiment_data(data['sentiment'])
+
+ # Save whale tracking data
+ if 'whale_tracking' in data:
+ self.save_whale_data(data['whale_tracking'])
+
+ # Save blockchain data
+ if 'blockchain' in data:
+ self.save_blockchain_data(data['blockchain'])
+
+ stats = self.get_stats()
+ total_saved = sum(stats.values())
+
+ logger.info("=" * 60)
+ logger.info("Data Persistence Complete")
+ logger.info(f"Total records saved: {total_saved}")
+ logger.info(f" Market prices: {stats['market_prices_saved']}")
+ logger.info(f" News articles: {stats['news_saved']}")
+ logger.info(f" Sentiment metrics: {stats['sentiment_saved']}")
+ logger.info(f" Whale transactions: {stats['whale_txs_saved']}")
+ logger.info(f" Gas prices: {stats['gas_prices_saved']}")
+ logger.info(f" Blockchain stats: {stats['blockchain_stats_saved']}")
+ logger.info("=" * 60)
+
+ return stats
+
+
+# Global instance
+data_persistence = DataPersistence()
diff --git a/app/final/collectors/demo_collectors.py b/app/final/collectors/demo_collectors.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c3d088824d316d3fcace21f080e504d762b26ba
--- /dev/null
+++ b/app/final/collectors/demo_collectors.py
@@ -0,0 +1,197 @@
+"""
+Demonstration Script for All Collector Modules
+
+This script demonstrates the usage of all collector modules and
+provides a comprehensive overview of data collection capabilities.
+"""
+
+import asyncio
+import json
+from datetime import datetime
+from typing import Dict, List, Any
+
+# Import all collector functions
+from collectors import (
+ collect_market_data,
+ collect_explorer_data,
+ collect_news_data,
+ collect_sentiment_data,
+ collect_onchain_data
+)
+
+
+def print_separator(title: str = ""):
+ """Print a formatted separator line"""
+ if title:
+ print(f"\n{'='*70}")
+ print(f" {title}")
+ print(f"{'='*70}\n")
+ else:
+ print(f"{'='*70}\n")
+
+
+def format_result_summary(result: Dict[str, Any]) -> str:
+ """Format a single result for display"""
+ lines = []
+ lines.append(f"Provider: {result.get('provider', 'Unknown')}")
+ lines.append(f"Category: {result.get('category', 'Unknown')}")
+ lines.append(f"Success: {result.get('success', False)}")
+
+ if result.get('success'):
+ lines.append(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ staleness = result.get('staleness_minutes')
+ if staleness is not None:
+ lines.append(f"Data Staleness: {staleness:.2f} minutes")
+
+ # Add provider-specific info
+ if result.get('index_value'):
+ lines.append(f"Fear & Greed Index: {result['index_value']} ({result['index_classification']})")
+ if result.get('post_count'):
+ lines.append(f"Posts: {result['post_count']}")
+ if result.get('article_count'):
+ lines.append(f"Articles: {result['article_count']}")
+ if result.get('is_placeholder'):
+ lines.append("Status: PLACEHOLDER IMPLEMENTATION")
+ else:
+ lines.append(f"Error Type: {result.get('error_type', 'unknown')}")
+ lines.append(f"Error: {result.get('error', 'Unknown error')}")
+
+ return "\n".join(lines)
+
+
+def print_category_summary(category: str, results: List[Dict[str, Any]]):
+ """Print summary for a category of collectors"""
+ print_separator(f"{category.upper()}")
+
+ total = len(results)
+ successful = sum(1 for r in results if r.get('success', False))
+
+ print(f"Total Collectors: {total}")
+ print(f"Successful: {successful}")
+ print(f"Failed: {total - successful}")
+ print()
+
+ for i, result in enumerate(results, 1):
+ print(f"[{i}/{total}] {'-'*60}")
+ print(format_result_summary(result))
+ print()
+
+
+async def collect_all_data() -> Dict[str, List[Dict[str, Any]]]:
+ """
+ Collect data from all categories concurrently
+
+ Returns:
+ Dictionary with categories as keys and results as values
+ """
+ print_separator("Starting Data Collection from All Sources")
+ print(f"Timestamp: {datetime.utcnow().isoformat()}Z\n")
+
+ # Run all collectors concurrently
+ print("Executing all collectors in parallel...")
+
+ market_results, explorer_results, news_results, sentiment_results, onchain_results = await asyncio.gather(
+ collect_market_data(),
+ collect_explorer_data(),
+ collect_news_data(),
+ collect_sentiment_data(),
+ collect_onchain_data(),
+ return_exceptions=True
+ )
+
+ # Handle any exceptions
+ def handle_exception(result, category):
+ if isinstance(result, Exception):
+ return [{
+ "provider": "Unknown",
+ "category": category,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ }]
+ return result
+
+ return {
+ "market_data": handle_exception(market_results, "market_data"),
+ "explorers": handle_exception(explorer_results, "blockchain_explorers"),
+ "news": handle_exception(news_results, "news"),
+ "sentiment": handle_exception(sentiment_results, "sentiment"),
+ "onchain": handle_exception(onchain_results, "onchain_analytics")
+ }
+
+
+async def main():
+ """Main demonstration function"""
+ print_separator("Cryptocurrency Data Collector - Comprehensive Demo")
+
+ # Collect all data
+ all_results = await collect_all_data()
+
+ # Print results by category
+ print_category_summary("Market Data Collection", all_results["market_data"])
+ print_category_summary("Blockchain Explorer Data", all_results["explorers"])
+ print_category_summary("News Data Collection", all_results["news"])
+ print_category_summary("Sentiment Data Collection", all_results["sentiment"])
+ print_category_summary("On-Chain Analytics Data", all_results["onchain"])
+
+ # Overall statistics
+ print_separator("Overall Collection Statistics")
+
+ total_collectors = sum(len(results) for results in all_results.values())
+ total_successful = sum(
+ sum(1 for r in results if r.get('success', False))
+ for results in all_results.values()
+ )
+ total_failed = total_collectors - total_successful
+
+ # Calculate average response time for successful calls
+ response_times = [
+ r.get('response_time_ms', 0)
+ for results in all_results.values()
+ for r in results
+ if r.get('success', False) and 'response_time_ms' in r
+ ]
+ avg_response_time = sum(response_times) / len(response_times) if response_times else 0
+
+ print(f"Total Collectors Run: {total_collectors}")
+ print(f"Successful: {total_successful} ({total_successful/total_collectors*100:.1f}%)")
+ print(f"Failed: {total_failed} ({total_failed/total_collectors*100:.1f}%)")
+ print(f"Average Response Time: {avg_response_time:.2f}ms")
+ print()
+
+ # Category breakdown
+ print("By Category:")
+ for category, results in all_results.items():
+ successful = sum(1 for r in results if r.get('success', False))
+ total = len(results)
+ print(f" {category:20} {successful}/{total} successful")
+
+ print_separator()
+
+ # Save results to file
+ output_file = f"collector_results_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}.json"
+ try:
+ with open(output_file, 'w') as f:
+ json.dump(all_results, f, indent=2, default=str)
+ print(f"Results saved to: {output_file}")
+ except Exception as e:
+ print(f"Failed to save results: {e}")
+
+ print_separator("Demo Complete")
+
+ return all_results
+
+
+if __name__ == "__main__":
+ # Run the demonstration
+ results = asyncio.run(main())
+
+ # Exit with appropriate code
+ total_collectors = sum(len(r) for r in results.values())
+ total_successful = sum(
+ sum(1 for item in r if item.get('success', False))
+ for r in results.values()
+ )
+
+ # Exit with 0 if at least 50% successful, else 1
+ exit(0 if total_successful >= total_collectors / 2 else 1)
diff --git a/app/final/collectors/explorers.py b/app/final/collectors/explorers.py
new file mode 100644
index 0000000000000000000000000000000000000000..c30b8952b9bb3f3740a264b6e37cd52ebff780ed
--- /dev/null
+++ b/app/final/collectors/explorers.py
@@ -0,0 +1,555 @@
+"""
+Blockchain Explorer Data Collectors
+Fetches data from Etherscan, BscScan, and TronScan
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+from config import config
+
+logger = setup_logger("explorers_collector")
+
+
+def calculate_staleness_minutes(data_timestamp: Optional[datetime]) -> Optional[float]:
+ """
+ Calculate staleness in minutes from data timestamp to now
+
+ Args:
+ data_timestamp: Timestamp of the data
+
+ Returns:
+ Staleness in minutes or None if timestamp not available
+ """
+ if not data_timestamp:
+ return None
+
+ now = datetime.now(timezone.utc)
+ if data_timestamp.tzinfo is None:
+ data_timestamp = data_timestamp.replace(tzinfo=timezone.utc)
+
+ delta = now - data_timestamp
+ return delta.total_seconds() / 60.0
+
+
+async def get_etherscan_gas_price() -> Dict[str, Any]:
+ """
+ Get current Ethereum gas price from Etherscan
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "Etherscan"
+ category = "blockchain_explorers"
+ endpoint = "/api?module=gastracker&action=gasoracle"
+
+ logger.info(f"Fetching gas price from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Check if API key is available
+ if provider_config.requires_key and not provider_config.api_key:
+ error_msg = f"API key required but not configured for {provider}"
+ log_error(logger, provider, "auth_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "missing_api_key"
+ }
+
+ # Build request URL
+ url = provider_config.endpoint_url
+ params = {
+ "module": "gastracker",
+ "action": "gasoracle",
+ "apikey": provider_config.api_key
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Etherscan returns real-time data, so staleness is minimal
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = 0.0
+
+ # Check API response status
+ if isinstance(data, dict):
+ api_status = data.get("status")
+ if api_status == "0":
+ error_msg = data.get("message", "API returned error status")
+ log_error(logger, provider, "api_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "api_error"
+ }
+
+ logger.info(f"{provider} - {endpoint} - Gas price retrieved, staleness: {staleness:.2f}m")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_bscscan_bnb_price() -> Dict[str, Any]:
+ """
+ Get BNB price from BscScan
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "BscScan"
+ category = "blockchain_explorers"
+ endpoint = "/api?module=stats&action=bnbprice"
+
+ logger.info(f"Fetching BNB price from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Check if API key is available
+ if provider_config.requires_key and not provider_config.api_key:
+ error_msg = f"API key required but not configured for {provider}"
+ log_error(logger, provider, "auth_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "missing_api_key"
+ }
+
+ # Build request URL
+ url = provider_config.endpoint_url
+ params = {
+ "module": "stats",
+ "action": "bnbprice",
+ "apikey": provider_config.api_key
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # BscScan returns real-time data
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = 0.0
+
+ # Check API response status
+ if isinstance(data, dict):
+ api_status = data.get("status")
+ if api_status == "0":
+ error_msg = data.get("message", "API returned error status")
+ log_error(logger, provider, "api_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "api_error"
+ }
+
+ # Extract timestamp if available
+ if "result" in data and isinstance(data["result"], dict):
+ if "ethusd_timestamp" in data["result"]:
+ try:
+ data_timestamp = datetime.fromtimestamp(
+ int(data["result"]["ethusd_timestamp"]),
+ tz=timezone.utc
+ )
+ staleness = calculate_staleness_minutes(data_timestamp)
+ except:
+ pass
+
+ logger.info(f"{provider} - {endpoint} - BNB price retrieved, staleness: {staleness:.2f}m")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_tronscan_stats() -> Dict[str, Any]:
+ """
+ Get TRX network statistics from TronScan
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "TronScan"
+ category = "blockchain_explorers"
+ endpoint = "/system/status"
+
+ logger.info(f"Fetching network stats from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Build request URL
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ headers = {}
+
+ # Add API key if available
+ if provider_config.requires_key and provider_config.api_key:
+ headers["TRON-PRO-API-KEY"] = provider_config.api_key
+
+ # Make request
+ response = await client.get(
+ url,
+ headers=headers if headers else None,
+ timeout=provider_config.timeout_ms // 1000
+ )
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # TronScan returns real-time data
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = 0.0
+
+ # Parse timestamp if available in response
+ if isinstance(data, dict):
+ # TronScan may include timestamp in various fields
+ if "timestamp" in data:
+ try:
+ data_timestamp = datetime.fromtimestamp(
+ int(data["timestamp"]) / 1000, # TronScan uses milliseconds
+ tz=timezone.utc
+ )
+ staleness = calculate_staleness_minutes(data_timestamp)
+ except:
+ pass
+
+ logger.info(f"{provider} - {endpoint} - Network stats retrieved, staleness: {staleness:.2f}m")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_explorer_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect blockchain explorer data from all sources
+
+ Returns:
+ List of results from all explorer data collectors
+ """
+ logger.info("Starting blockchain explorer data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_etherscan_gas_price(),
+ get_bscscan_bnb_price(),
+ get_tronscan_stats(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "blockchain_explorers",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ logger.info(f"Explorer data collection complete: {successful}/{len(processed_results)} successful")
+
+ return processed_results
+
+
+class ExplorerDataCollector:
+ """
+ Explorer Data Collector class for WebSocket streaming interface
+ Wraps the standalone explorer data collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the explorer data collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect blockchain explorer data from all sources
+
+ Returns:
+ Dict with aggregated explorer data
+ """
+ results = await collect_explorer_data()
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "latest_block": None,
+ "network_hashrate": None,
+ "difficulty": None,
+ "mempool_size": None,
+ "transactions_count": None,
+ "gas_prices": {},
+ "sources": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+ aggregated["sources"].append(provider)
+
+ data = result["data"]
+
+ # Parse gas price data
+ if "result" in data and isinstance(data["result"], dict):
+ gas_data = data["result"]
+ if provider == "Etherscan":
+ aggregated["gas_prices"]["ethereum"] = {
+ "safe": gas_data.get("SafeGasPrice"),
+ "propose": gas_data.get("ProposeGasPrice"),
+ "fast": gas_data.get("FastGasPrice")
+ }
+ elif provider == "BscScan":
+ aggregated["gas_prices"]["bsc"] = gas_data.get("result")
+
+ # Parse network stats
+ if provider == "TronScan" and "data" in data:
+ stats = data["data"]
+ aggregated["latest_block"] = stats.get("latestBlock")
+ aggregated["transactions_count"] = stats.get("totalTransaction")
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_explorer_data()
+
+ print("\n=== Blockchain Explorer Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Staleness: {result.get('staleness_minutes', 'N/A')} minutes")
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/market_data.py b/app/final/collectors/market_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..a58d20e390c66027ed4cc5a4344187e517f87474
--- /dev/null
+++ b/app/final/collectors/market_data.py
@@ -0,0 +1,540 @@
+"""
+Market Data Collectors
+Fetches cryptocurrency market data from CoinGecko, CoinMarketCap, and Binance
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+from config import config
+
+logger = setup_logger("market_data_collector")
+
+
+def calculate_staleness_minutes(data_timestamp: Optional[datetime]) -> Optional[float]:
+ """
+ Calculate staleness in minutes from data timestamp to now
+
+ Args:
+ data_timestamp: Timestamp of the data
+
+ Returns:
+ Staleness in minutes or None if timestamp not available
+ """
+ if not data_timestamp:
+ return None
+
+ now = datetime.now(timezone.utc)
+ if data_timestamp.tzinfo is None:
+ data_timestamp = data_timestamp.replace(tzinfo=timezone.utc)
+
+ delta = now - data_timestamp
+ return delta.total_seconds() / 60.0
+
+
+async def get_coingecko_simple_price() -> Dict[str, Any]:
+ """
+ Fetch BTC, ETH, BNB prices from CoinGecko simple/price endpoint
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "CoinGecko"
+ category = "market_data"
+ endpoint = "/simple/price"
+
+ logger.info(f"Fetching simple price from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Build request URL
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ params = {
+ "ids": "bitcoin,ethereum,binancecoin",
+ "vs_currencies": "usd",
+ "include_market_cap": "true",
+ "include_24hr_vol": "true",
+ "include_24hr_change": "true",
+ "include_last_updated_at": "true"
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamps from response
+ data_timestamp = None
+ if isinstance(data, dict):
+ # CoinGecko returns last_updated_at as Unix timestamp
+ for coin_data in data.values():
+ if isinstance(coin_data, dict) and "last_updated_at" in coin_data:
+ data_timestamp = datetime.fromtimestamp(
+ coin_data["last_updated_at"],
+ tz=timezone.utc
+ )
+ break
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {len(data) if isinstance(data, dict) else 0} coins, "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_coinmarketcap_quotes() -> Dict[str, Any]:
+ """
+ Fetch BTC, ETH, BNB market data from CoinMarketCap quotes endpoint
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "CoinMarketCap"
+ category = "market_data"
+ endpoint = "/cryptocurrency/quotes/latest"
+
+ logger.info(f"Fetching quotes from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Check if API key is available
+ if provider_config.requires_key and not provider_config.api_key:
+ error_msg = f"API key required but not configured for {provider}"
+ log_error(logger, provider, "auth_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "missing_api_key"
+ }
+
+ # Build request
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ headers = {
+ "X-CMC_PRO_API_KEY": provider_config.api_key,
+ "Accept": "application/json"
+ }
+ params = {
+ "symbol": "BTC,ETH,BNB",
+ "convert": "USD"
+ }
+
+ # Make request
+ response = await client.get(
+ url,
+ headers=headers,
+ params=params,
+ timeout=provider_config.timeout_ms // 1000
+ )
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamp from response
+ data_timestamp = None
+ if isinstance(data, dict) and "data" in data:
+ # CoinMarketCap response structure
+ for coin_data in data["data"].values():
+ if isinstance(coin_data, dict) and "quote" in coin_data:
+ quote = coin_data.get("quote", {}).get("USD", {})
+ if "last_updated" in quote:
+ try:
+ data_timestamp = datetime.fromisoformat(
+ quote["last_updated"].replace("Z", "+00:00")
+ )
+ break
+ except:
+ pass
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ coin_count = len(data.get("data", {})) if isinstance(data, dict) else 0
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {coin_count} coins, "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_binance_ticker() -> Dict[str, Any]:
+ """
+ Fetch ticker data from Binance public API (24hr ticker)
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "Binance"
+ category = "market_data"
+ endpoint = "/api/v3/ticker/24hr"
+
+ logger.info(f"Fetching 24hr ticker from {provider}")
+
+ try:
+ client = get_client()
+
+ # Binance API base URL
+ url = f"https://api.binance.com{endpoint}"
+ params = {
+ "symbols": '["BTCUSDT","ETHUSDT","BNBUSDT"]'
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamp from response
+ # Binance returns closeTime as Unix timestamp in milliseconds
+ data_timestamp = None
+ if isinstance(data, list) and len(data) > 0:
+ first_ticker = data[0]
+ if isinstance(first_ticker, dict) and "closeTime" in first_ticker:
+ try:
+ data_timestamp = datetime.fromtimestamp(
+ first_ticker["closeTime"] / 1000,
+ tz=timezone.utc
+ )
+ except:
+ pass
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ ticker_count = len(data) if isinstance(data, list) else 0
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {ticker_count} tickers, "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_market_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect market data from all sources
+
+ Returns:
+ List of results from all market data collectors
+ """
+ logger.info("Starting market data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_coingecko_simple_price(),
+ get_coinmarketcap_quotes(),
+ get_binance_ticker(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "market_data",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ logger.info(f"Market data collection complete: {successful}/{len(processed_results)} successful")
+
+ return processed_results
+
+
+class MarketDataCollector:
+ """
+ Market Data Collector class for WebSocket streaming interface
+ Wraps the standalone market data collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the market data collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect market data from all sources
+
+ Returns:
+ Dict with aggregated market data
+ """
+ results = await collect_market_data()
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "prices": {},
+ "volumes": {},
+ "market_caps": {},
+ "price_changes": {},
+ "sources": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+ aggregated["sources"].append(provider)
+
+ data = result["data"]
+
+ # Parse CoinGecko data
+ if provider == "CoinGecko" and isinstance(data, dict):
+ for coin_id, coin_data in data.items():
+ if isinstance(coin_data, dict):
+ symbol = coin_id.upper()
+ if "usd" in coin_data:
+ aggregated["prices"][symbol] = coin_data["usd"]
+ if "usd_market_cap" in coin_data:
+ aggregated["market_caps"][symbol] = coin_data["usd_market_cap"]
+ if "usd_24h_vol" in coin_data:
+ aggregated["volumes"][symbol] = coin_data["usd_24h_vol"]
+ if "usd_24h_change" in coin_data:
+ aggregated["price_changes"][symbol] = coin_data["usd_24h_change"]
+
+ # Parse CoinMarketCap data
+ elif provider == "CoinMarketCap" and isinstance(data, dict):
+ if "data" in data:
+ for symbol, coin_data in data["data"].items():
+ if isinstance(coin_data, dict) and "quote" in coin_data:
+ quote = coin_data.get("quote", {}).get("USD", {})
+ if "price" in quote:
+ aggregated["prices"][symbol] = quote["price"]
+ if "market_cap" in quote:
+ aggregated["market_caps"][symbol] = quote["market_cap"]
+ if "volume_24h" in quote:
+ aggregated["volumes"][symbol] = quote["volume_24h"]
+ if "percent_change_24h" in quote:
+ aggregated["price_changes"][symbol] = quote["percent_change_24h"]
+
+ # Parse Binance data
+ elif provider == "Binance" and isinstance(data, list):
+ for ticker in data:
+ if isinstance(ticker, dict):
+ symbol = ticker.get("symbol", "").replace("USDT", "")
+ if "lastPrice" in ticker:
+ aggregated["prices"][symbol] = float(ticker["lastPrice"])
+ if "volume" in ticker:
+ aggregated["volumes"][symbol] = float(ticker["volume"])
+ if "priceChangePercent" in ticker:
+ aggregated["price_changes"][symbol] = float(ticker["priceChangePercent"])
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_market_data()
+
+ print("\n=== Market Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Staleness: {result.get('staleness_minutes', 'N/A')} minutes")
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/market_data_extended.py b/app/final/collectors/market_data_extended.py
new file mode 100644
index 0000000000000000000000000000000000000000..175a6c0bfbbb020183dce828e98293a2d0409d29
--- /dev/null
+++ b/app/final/collectors/market_data_extended.py
@@ -0,0 +1,594 @@
+"""
+Extended Market Data Collectors
+Fetches data from Coinpaprika, DefiLlama, Messari, CoinCap, and other market data sources
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("market_data_extended_collector")
+
+
+async def get_coinpaprika_tickers() -> Dict[str, Any]:
+ """
+ Fetch ticker data from Coinpaprika (free, no key required)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "Coinpaprika"
+ category = "market_data"
+ endpoint = "/tickers"
+
+ logger.info(f"Fetching tickers from {provider}")
+
+ try:
+ client = get_client()
+
+ # Coinpaprika API (free, no key needed)
+ url = "https://api.coinpaprika.com/v1/tickers"
+
+ params = {
+ "quotes": "USD",
+ "limit": 100
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Process top coins
+ market_data = None
+ if isinstance(data, list):
+ top_10 = data[:10]
+ total_market_cap = sum(coin.get("quotes", {}).get("USD", {}).get("market_cap", 0) for coin in top_10)
+
+ market_data = {
+ "total_coins": len(data),
+ "top_10_market_cap": round(total_market_cap, 2),
+ "top_10_coins": [
+ {
+ "symbol": coin.get("symbol"),
+ "name": coin.get("name"),
+ "price": coin.get("quotes", {}).get("USD", {}).get("price"),
+ "market_cap": coin.get("quotes", {}).get("USD", {}).get("market_cap"),
+ "volume_24h": coin.get("quotes", {}).get("USD", {}).get("volume_24h"),
+ "percent_change_24h": coin.get("quotes", {}).get("USD", {}).get("percent_change_24h")
+ }
+ for coin in top_10
+ ]
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {len(data) if isinstance(data, list) else 0} tickers")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": market_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_defillama_tvl() -> Dict[str, Any]:
+ """
+ Fetch DeFi Total Value Locked from DefiLlama (free, no key required)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "DefiLlama"
+ category = "defi_data"
+ endpoint = "/tvl"
+
+ logger.info(f"Fetching TVL data from {provider}")
+
+ try:
+ client = get_client()
+
+ # DefiLlama API (free, no key needed)
+ url = "https://api.llama.fi/v2/protocols"
+
+ # Make request
+ response = await client.get(url, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Process protocols
+ tvl_data = None
+ if isinstance(data, list):
+ # Sort by TVL
+ sorted_protocols = sorted(data, key=lambda x: x.get("tvl", 0), reverse=True)
+ top_20 = sorted_protocols[:20]
+
+ total_tvl = sum(p.get("tvl", 0) for p in data)
+
+ tvl_data = {
+ "total_protocols": len(data),
+ "total_tvl": round(total_tvl, 2),
+ "top_20_protocols": [
+ {
+ "name": p.get("name"),
+ "symbol": p.get("symbol"),
+ "tvl": round(p.get("tvl", 0), 2),
+ "change_1d": p.get("change_1d"),
+ "change_7d": p.get("change_7d"),
+ "chains": p.get("chains", [])[:3] # Top 3 chains
+ }
+ for p in top_20
+ ]
+ }
+
+ logger.info(
+ f"{provider} - {endpoint} - Total TVL: ${tvl_data.get('total_tvl', 0):,.0f}"
+ if tvl_data else f"{provider} - {endpoint} - No data"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": tvl_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_coincap_assets() -> Dict[str, Any]:
+ """
+ Fetch asset data from CoinCap (free, no key required)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "CoinCap"
+ category = "market_data"
+ endpoint = "/assets"
+
+ logger.info(f"Fetching assets from {provider}")
+
+ try:
+ client = get_client()
+
+ # CoinCap API (free, no key needed)
+ url = "https://api.coincap.io/v2/assets"
+
+ params = {"limit": 50}
+
+ # Make request
+ response = await client.get(url, params=params, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ raw_data = response["data"]
+
+ # Process assets
+ asset_data = None
+ if isinstance(raw_data, dict) and "data" in raw_data:
+ assets = raw_data["data"]
+
+ top_10 = assets[:10] if isinstance(assets, list) else []
+
+ asset_data = {
+ "total_assets": len(assets) if isinstance(assets, list) else 0,
+ "top_10_assets": [
+ {
+ "symbol": asset.get("symbol"),
+ "name": asset.get("name"),
+ "price_usd": float(asset.get("priceUsd", 0)),
+ "market_cap_usd": float(asset.get("marketCapUsd", 0)),
+ "volume_24h_usd": float(asset.get("volumeUsd24Hr", 0)),
+ "change_percent_24h": float(asset.get("changePercent24Hr", 0))
+ }
+ for asset in top_10
+ ]
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {asset_data.get('total_assets', 0)} assets")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": asset_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_messari_assets(api_key: Optional[str] = None) -> Dict[str, Any]:
+ """
+ Fetch asset data from Messari
+
+ Args:
+ api_key: Messari API key (optional, has free tier)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "Messari"
+ category = "market_data"
+ endpoint = "/assets"
+
+ logger.info(f"Fetching assets from {provider}")
+
+ try:
+ client = get_client()
+
+ # Messari API
+ url = "https://data.messari.io/api/v1/assets"
+
+ params = {"limit": 20}
+
+ headers = {}
+ if api_key:
+ headers["x-messari-api-key"] = api_key
+
+ # Make request
+ response = await client.get(url, params=params, headers=headers, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ raw_data = response["data"]
+
+ # Process assets
+ asset_data = None
+ if isinstance(raw_data, dict) and "data" in raw_data:
+ assets = raw_data["data"]
+
+ asset_data = {
+ "total_assets": len(assets) if isinstance(assets, list) else 0,
+ "assets": [
+ {
+ "symbol": asset.get("symbol"),
+ "name": asset.get("name"),
+ "slug": asset.get("slug"),
+ "metrics": {
+ "market_cap": asset.get("metrics", {}).get("marketcap", {}).get("current_marketcap_usd"),
+ "volume_24h": asset.get("metrics", {}).get("market_data", {}).get("volume_last_24_hours"),
+ "price": asset.get("metrics", {}).get("market_data", {}).get("price_usd")
+ }
+ }
+ for asset in assets[:10]
+ ] if isinstance(assets, list) else []
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {asset_data.get('total_assets', 0)} assets")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": asset_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_cryptocompare_toplist() -> Dict[str, Any]:
+ """
+ Fetch top cryptocurrencies from CryptoCompare (free tier available)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "CryptoCompare"
+ category = "market_data"
+ endpoint = "/top/totalvolfull"
+
+ logger.info(f"Fetching top list from {provider}")
+
+ try:
+ client = get_client()
+
+ # CryptoCompare API
+ url = "https://min-api.cryptocompare.com/data/top/totalvolfull"
+
+ params = {
+ "limit": 20,
+ "tsym": "USD"
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ raw_data = response["data"]
+
+ # Process data
+ toplist_data = None
+ if isinstance(raw_data, dict) and "Data" in raw_data:
+ coins = raw_data["Data"]
+
+ toplist_data = {
+ "total_coins": len(coins) if isinstance(coins, list) else 0,
+ "top_coins": [
+ {
+ "symbol": coin.get("CoinInfo", {}).get("Name"),
+ "name": coin.get("CoinInfo", {}).get("FullName"),
+ "price": coin.get("RAW", {}).get("USD", {}).get("PRICE"),
+ "market_cap": coin.get("RAW", {}).get("USD", {}).get("MKTCAP"),
+ "volume_24h": coin.get("RAW", {}).get("USD", {}).get("VOLUME24HOUR"),
+ "change_24h": coin.get("RAW", {}).get("USD", {}).get("CHANGEPCT24HOUR")
+ }
+ for coin in (coins[:10] if isinstance(coins, list) else [])
+ ]
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {toplist_data.get('total_coins', 0)} coins")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": toplist_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_extended_market_data(messari_key: Optional[str] = None) -> List[Dict[str, Any]]:
+ """
+ Main function to collect extended market data from all sources
+
+ Args:
+ messari_key: Optional Messari API key
+
+ Returns:
+ List of results from all extended market data collectors
+ """
+ logger.info("Starting extended market data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_coinpaprika_tickers(),
+ get_defillama_tvl(),
+ get_coincap_assets(),
+ get_messari_assets(messari_key),
+ get_cryptocompare_toplist(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "market_data",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ logger.info(f"Extended market data collection complete: {successful}/{len(processed_results)} successful")
+
+ return processed_results
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ import os
+
+ messari_key = os.getenv("MESSARI_API_KEY")
+
+ results = await collect_extended_market_data(messari_key)
+
+ print("\n=== Extended Market Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Category: {result['category']}")
+ print(f"Success: {result['success']}")
+
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ data = result.get('data', {})
+ if data:
+ if 'total_tvl' in data:
+ print(f"Total TVL: ${data['total_tvl']:,.0f}")
+ elif 'total_assets' in data:
+ print(f"Total Assets: {data['total_assets']}")
+ elif 'total_coins' in data:
+ print(f"Total Coins: {data['total_coins']}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/master_collector.py b/app/final/collectors/master_collector.py
new file mode 100644
index 0000000000000000000000000000000000000000..91c1bb0608aaafec9dbba013f5ab1de866676bab
--- /dev/null
+++ b/app/final/collectors/master_collector.py
@@ -0,0 +1,402 @@
+"""
+Master Collector - Aggregates all data sources
+Unified interface to collect data from all available collectors
+"""
+
+import asyncio
+import os
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.logger import setup_logger
+
+# Import all collectors
+from collectors.market_data import collect_market_data
+from collectors.market_data_extended import collect_extended_market_data
+from collectors.explorers import collect_explorer_data
+from collectors.news import collect_news
+from collectors.news_extended import collect_extended_news
+from collectors.sentiment import collect_sentiment
+from collectors.sentiment_extended import collect_extended_sentiment_data
+from collectors.onchain import collect_onchain_data
+from collectors.rpc_nodes import collect_rpc_data
+from collectors.whale_tracking import collect_whale_tracking_data
+
+# Import data persistence
+from collectors.data_persistence import data_persistence
+
+logger = setup_logger("master_collector")
+
+
+class DataSourceCollector:
+ """
+ Master collector that aggregates all data sources
+ """
+
+ def __init__(self):
+ """Initialize the master collector"""
+ self.api_keys = self._load_api_keys()
+ logger.info("Master Collector initialized")
+
+ def _load_api_keys(self) -> Dict[str, Optional[str]]:
+ """
+ Load API keys from environment variables
+
+ Returns:
+ Dict of API keys
+ """
+ return {
+ # Market Data
+ "coinmarketcap": os.getenv("COINMARKETCAP_KEY_1"),
+ "messari": os.getenv("MESSARI_API_KEY"),
+ "cryptocompare": os.getenv("CRYPTOCOMPARE_KEY"),
+
+ # Blockchain Explorers
+ "etherscan": os.getenv("ETHERSCAN_KEY_1"),
+ "bscscan": os.getenv("BSCSCAN_KEY"),
+ "tronscan": os.getenv("TRONSCAN_KEY"),
+
+ # News
+ "newsapi": os.getenv("NEWSAPI_KEY"),
+
+ # RPC Nodes
+ "infura": os.getenv("INFURA_API_KEY"),
+ "alchemy": os.getenv("ALCHEMY_API_KEY"),
+
+ # Whale Tracking
+ "whalealert": os.getenv("WHALEALERT_API_KEY"),
+
+ # HuggingFace
+ "huggingface": os.getenv("HUGGINGFACE_TOKEN"),
+ }
+
+ async def collect_all_market_data(self) -> List[Dict[str, Any]]:
+ """
+ Collect data from all market data sources
+
+ Returns:
+ List of market data results
+ """
+ logger.info("Collecting all market data...")
+
+ results = []
+
+ # Core market data
+ core_results = await collect_market_data()
+ results.extend(core_results)
+
+ # Extended market data
+ extended_results = await collect_extended_market_data(
+ messari_key=self.api_keys.get("messari")
+ )
+ results.extend(extended_results)
+
+ logger.info(f"Market data collection complete: {len(results)} results")
+ return results
+
+ async def collect_all_blockchain_data(self) -> List[Dict[str, Any]]:
+ """
+ Collect data from all blockchain sources (explorers + RPC + on-chain)
+
+ Returns:
+ List of blockchain data results
+ """
+ logger.info("Collecting all blockchain data...")
+
+ results = []
+
+ # Blockchain explorers
+ explorer_results = await collect_explorer_data()
+ results.extend(explorer_results)
+
+ # RPC nodes
+ rpc_results = await collect_rpc_data(
+ infura_key=self.api_keys.get("infura"),
+ alchemy_key=self.api_keys.get("alchemy")
+ )
+ results.extend(rpc_results)
+
+ # On-chain analytics
+ onchain_results = await collect_onchain_data()
+ results.extend(onchain_results)
+
+ logger.info(f"Blockchain data collection complete: {len(results)} results")
+ return results
+
+ async def collect_all_news(self) -> List[Dict[str, Any]]:
+ """
+ Collect data from all news sources
+
+ Returns:
+ List of news results
+ """
+ logger.info("Collecting all news...")
+
+ results = []
+
+ # Core news
+ core_results = await collect_news()
+ results.extend(core_results)
+
+ # Extended news (RSS feeds)
+ extended_results = await collect_extended_news()
+ results.extend(extended_results)
+
+ logger.info(f"News collection complete: {len(results)} results")
+ return results
+
+ async def collect_all_sentiment(self) -> List[Dict[str, Any]]:
+ """
+ Collect data from all sentiment sources
+
+ Returns:
+ List of sentiment results
+ """
+ logger.info("Collecting all sentiment data...")
+
+ results = []
+
+ # Core sentiment
+ core_results = await collect_sentiment()
+ results.extend(core_results)
+
+ # Extended sentiment
+ extended_results = await collect_extended_sentiment_data()
+ results.extend(extended_results)
+
+ logger.info(f"Sentiment collection complete: {len(results)} results")
+ return results
+
+ async def collect_whale_tracking(self) -> List[Dict[str, Any]]:
+ """
+ Collect whale tracking data
+
+ Returns:
+ List of whale tracking results
+ """
+ logger.info("Collecting whale tracking data...")
+
+ results = await collect_whale_tracking_data(
+ whalealert_key=self.api_keys.get("whalealert")
+ )
+
+ logger.info(f"Whale tracking collection complete: {len(results)} results")
+ return results
+
+ async def collect_all_data(self) -> Dict[str, Any]:
+ """
+ Collect data from ALL available sources in parallel
+
+ Returns:
+ Dict with categorized results and statistics
+ """
+ logger.info("=" * 60)
+ logger.info("Starting MASTER data collection from ALL sources")
+ logger.info("=" * 60)
+
+ start_time = datetime.now(timezone.utc)
+
+ # Run all collections in parallel
+ market_data, blockchain_data, news_data, sentiment_data, whale_data = await asyncio.gather(
+ self.collect_all_market_data(),
+ self.collect_all_blockchain_data(),
+ self.collect_all_news(),
+ self.collect_all_sentiment(),
+ self.collect_whale_tracking(),
+ return_exceptions=True
+ )
+
+ # Handle exceptions
+ if isinstance(market_data, Exception):
+ logger.error(f"Market data collection failed: {str(market_data)}")
+ market_data = []
+
+ if isinstance(blockchain_data, Exception):
+ logger.error(f"Blockchain data collection failed: {str(blockchain_data)}")
+ blockchain_data = []
+
+ if isinstance(news_data, Exception):
+ logger.error(f"News collection failed: {str(news_data)}")
+ news_data = []
+
+ if isinstance(sentiment_data, Exception):
+ logger.error(f"Sentiment collection failed: {str(sentiment_data)}")
+ sentiment_data = []
+
+ if isinstance(whale_data, Exception):
+ logger.error(f"Whale tracking collection failed: {str(whale_data)}")
+ whale_data = []
+
+ # Calculate statistics
+ end_time = datetime.now(timezone.utc)
+ duration = (end_time - start_time).total_seconds()
+
+ total_sources = (
+ len(market_data) +
+ len(blockchain_data) +
+ len(news_data) +
+ len(sentiment_data) +
+ len(whale_data)
+ )
+
+ successful_sources = sum([
+ sum(1 for r in market_data if r.get("success", False)),
+ sum(1 for r in blockchain_data if r.get("success", False)),
+ sum(1 for r in news_data if r.get("success", False)),
+ sum(1 for r in sentiment_data if r.get("success", False)),
+ sum(1 for r in whale_data if r.get("success", False))
+ ])
+
+ placeholder_count = sum([
+ sum(1 for r in market_data if r.get("is_placeholder", False)),
+ sum(1 for r in blockchain_data if r.get("is_placeholder", False)),
+ sum(1 for r in news_data if r.get("is_placeholder", False)),
+ sum(1 for r in sentiment_data if r.get("is_placeholder", False)),
+ sum(1 for r in whale_data if r.get("is_placeholder", False))
+ ])
+
+ # Aggregate results
+ results = {
+ "collection_timestamp": start_time.isoformat(),
+ "duration_seconds": round(duration, 2),
+ "statistics": {
+ "total_sources": total_sources,
+ "successful_sources": successful_sources,
+ "failed_sources": total_sources - successful_sources,
+ "placeholder_sources": placeholder_count,
+ "success_rate": round(successful_sources / total_sources * 100, 2) if total_sources > 0 else 0,
+ "categories": {
+ "market_data": {
+ "total": len(market_data),
+ "successful": sum(1 for r in market_data if r.get("success", False))
+ },
+ "blockchain": {
+ "total": len(blockchain_data),
+ "successful": sum(1 for r in blockchain_data if r.get("success", False))
+ },
+ "news": {
+ "total": len(news_data),
+ "successful": sum(1 for r in news_data if r.get("success", False))
+ },
+ "sentiment": {
+ "total": len(sentiment_data),
+ "successful": sum(1 for r in sentiment_data if r.get("success", False))
+ },
+ "whale_tracking": {
+ "total": len(whale_data),
+ "successful": sum(1 for r in whale_data if r.get("success", False))
+ }
+ }
+ },
+ "data": {
+ "market_data": market_data,
+ "blockchain": blockchain_data,
+ "news": news_data,
+ "sentiment": sentiment_data,
+ "whale_tracking": whale_data
+ }
+ }
+
+ # Log summary
+ logger.info("=" * 60)
+ logger.info("MASTER COLLECTION COMPLETE")
+ logger.info(f"Duration: {duration:.2f} seconds")
+ logger.info(f"Total Sources: {total_sources}")
+ logger.info(f"Successful: {successful_sources} ({results['statistics']['success_rate']}%)")
+ logger.info(f"Failed: {total_sources - successful_sources}")
+ logger.info(f"Placeholders: {placeholder_count}")
+ logger.info("=" * 60)
+ logger.info("Category Breakdown:")
+ for category, stats in results['statistics']['categories'].items():
+ logger.info(f" {category}: {stats['successful']}/{stats['total']}")
+ logger.info("=" * 60)
+
+ # Save all collected data to database
+ try:
+ persistence_stats = data_persistence.save_all_data(results)
+ results['persistence_stats'] = persistence_stats
+ except Exception as e:
+ logger.error(f"Error persisting data to database: {e}", exc_info=True)
+ results['persistence_stats'] = {'error': str(e)}
+
+ return results
+
+ async def collect_category(self, category: str) -> List[Dict[str, Any]]:
+ """
+ Collect data from a specific category
+
+ Args:
+ category: Category name (market_data, blockchain, news, sentiment, whale_tracking)
+
+ Returns:
+ List of results for the category
+ """
+ logger.info(f"Collecting data for category: {category}")
+
+ if category == "market_data":
+ return await self.collect_all_market_data()
+ elif category == "blockchain":
+ return await self.collect_all_blockchain_data()
+ elif category == "news":
+ return await self.collect_all_news()
+ elif category == "sentiment":
+ return await self.collect_all_sentiment()
+ elif category == "whale_tracking":
+ return await self.collect_whale_tracking()
+ else:
+ logger.error(f"Unknown category: {category}")
+ return []
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ collector = DataSourceCollector()
+
+ print("\n" + "=" * 80)
+ print("CRYPTO DATA SOURCE MASTER COLLECTOR")
+ print("Collecting data from ALL available sources...")
+ print("=" * 80 + "\n")
+
+ # Collect all data
+ results = await collector.collect_all_data()
+
+ # Print summary
+ print("\n" + "=" * 80)
+ print("COLLECTION SUMMARY")
+ print("=" * 80)
+ print(f"Duration: {results['duration_seconds']} seconds")
+ print(f"Total Sources: {results['statistics']['total_sources']}")
+ print(f"Successful: {results['statistics']['successful_sources']} "
+ f"({results['statistics']['success_rate']}%)")
+ print(f"Failed: {results['statistics']['failed_sources']}")
+ print(f"Placeholders: {results['statistics']['placeholder_sources']}")
+ print("\n" + "-" * 80)
+ print("CATEGORY BREAKDOWN:")
+ print("-" * 80)
+
+ for category, stats in results['statistics']['categories'].items():
+ success_rate = (stats['successful'] / stats['total'] * 100) if stats['total'] > 0 else 0
+ print(f"{category:20} {stats['successful']:3}/{stats['total']:3} ({success_rate:5.1f}%)")
+
+ print("=" * 80)
+
+ # Print sample data from each category
+ print("\n" + "=" * 80)
+ print("SAMPLE DATA FROM EACH CATEGORY")
+ print("=" * 80)
+
+ for category, data_list in results['data'].items():
+ print(f"\n{category.upper()}:")
+ successful = [d for d in data_list if d.get('success', False)]
+ if successful:
+ sample = successful[0]
+ print(f" Provider: {sample.get('provider', 'N/A')}")
+ print(f" Success: {sample.get('success', False)}")
+ if sample.get('data'):
+ print(f" Data keys: {list(sample.get('data', {}).keys())[:5]}")
+ else:
+ print(" No successful data")
+
+ print("\n" + "=" * 80)
+
+ asyncio.run(main())
diff --git a/app/final/collectors/news.py b/app/final/collectors/news.py
new file mode 100644
index 0000000000000000000000000000000000000000..3747e15c05d1a5d775767eacb31c2f8463523312
--- /dev/null
+++ b/app/final/collectors/news.py
@@ -0,0 +1,448 @@
+"""
+News Data Collectors
+Fetches cryptocurrency news from CryptoPanic and NewsAPI
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+from config import config
+
+logger = setup_logger("news_collector")
+
+
+def calculate_staleness_minutes(data_timestamp: Optional[datetime]) -> Optional[float]:
+ """
+ Calculate staleness in minutes from data timestamp to now
+
+ Args:
+ data_timestamp: Timestamp of the data
+
+ Returns:
+ Staleness in minutes or None if timestamp not available
+ """
+ if not data_timestamp:
+ return None
+
+ now = datetime.now(timezone.utc)
+ if data_timestamp.tzinfo is None:
+ data_timestamp = data_timestamp.replace(tzinfo=timezone.utc)
+
+ delta = now - data_timestamp
+ return delta.total_seconds() / 60.0
+
+
+def parse_iso_timestamp(timestamp_str: str) -> Optional[datetime]:
+ """
+ Parse ISO timestamp string to datetime
+
+ Args:
+ timestamp_str: ISO format timestamp string
+
+ Returns:
+ datetime object or None if parsing fails
+ """
+ try:
+ # Handle various ISO formats
+ if timestamp_str.endswith('Z'):
+ timestamp_str = timestamp_str.replace('Z', '+00:00')
+ return datetime.fromisoformat(timestamp_str)
+ except:
+ return None
+
+
+async def get_cryptopanic_posts() -> Dict[str, Any]:
+ """
+ Fetch latest cryptocurrency news posts from CryptoPanic
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "CryptoPanic"
+ category = "news"
+ endpoint = "/posts/"
+
+ logger.info(f"Fetching posts from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Build request URL
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ params = {
+ "auth_token": "free", # CryptoPanic offers free tier
+ "public": "true",
+ "kind": "news", # Get news posts
+ "filter": "rising" # Get rising news
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamp from most recent post
+ data_timestamp = None
+ if isinstance(data, dict) and "results" in data:
+ results = data["results"]
+ if isinstance(results, list) and len(results) > 0:
+ # Get the most recent post's timestamp
+ first_post = results[0]
+ if isinstance(first_post, dict) and "created_at" in first_post:
+ data_timestamp = parse_iso_timestamp(first_post["created_at"])
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ # Count posts
+ post_count = 0
+ if isinstance(data, dict) and "results" in data:
+ post_count = len(data["results"])
+
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {post_count} posts, "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0),
+ "post_count": post_count
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_newsapi_headlines() -> Dict[str, Any]:
+ """
+ Fetch cryptocurrency headlines from NewsAPI (newsdata.io)
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "NewsAPI"
+ category = "news"
+ endpoint = "/news"
+
+ logger.info(f"Fetching headlines from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Check if API key is available
+ if provider_config.requires_key and not provider_config.api_key:
+ error_msg = f"API key required but not configured for {provider}"
+ log_error(logger, provider, "auth_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "missing_api_key"
+ }
+
+ # Build request URL
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ params = {
+ "apikey": provider_config.api_key,
+ "q": "cryptocurrency OR bitcoin OR ethereum",
+ "language": "en",
+ "category": "business,technology"
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamp from most recent article
+ data_timestamp = None
+ if isinstance(data, dict) and "results" in data:
+ results = data["results"]
+ if isinstance(results, list) and len(results) > 0:
+ # Get the most recent article's timestamp
+ first_article = results[0]
+ if isinstance(first_article, dict):
+ # Try different timestamp fields
+ timestamp_field = first_article.get("pubDate") or first_article.get("publishedAt")
+ if timestamp_field:
+ data_timestamp = parse_iso_timestamp(timestamp_field)
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ # Count articles
+ article_count = 0
+ if isinstance(data, dict) and "results" in data:
+ article_count = len(data["results"])
+
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {article_count} articles, "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0),
+ "article_count": article_count
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_news_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect news data from all sources
+
+ Returns:
+ List of results from all news collectors
+ """
+ logger.info("Starting news data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_cryptopanic_posts(),
+ get_newsapi_headlines(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "news",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ total_items = sum(
+ r.get("post_count", 0) + r.get("article_count", 0)
+ for r in processed_results if r.get("success", False)
+ )
+
+ logger.info(
+ f"News data collection complete: {successful}/{len(processed_results)} successful, "
+ f"{total_items} total items"
+ )
+
+ return processed_results
+
+
+# Alias for backward compatibility
+collect_news = collect_news_data
+
+
+class NewsCollector:
+ """
+ News Collector class for WebSocket streaming interface
+ Wraps the standalone news collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the news collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect news data from all sources
+
+ Returns:
+ Dict with aggregated news data
+ """
+ results = await collect_news_data()
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "articles": [],
+ "sources": [],
+ "categories": [],
+ "breaking": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+ aggregated["sources"].append(provider)
+
+ data = result["data"]
+
+ # Parse CryptoPanic posts
+ if provider == "CryptoPanic" and "results" in data:
+ for post in data["results"][:10]: # Take top 10
+ aggregated["articles"].append({
+ "title": post.get("title"),
+ "url": post.get("url"),
+ "source": post.get("source", {}).get("title"),
+ "published_at": post.get("published_at"),
+ "kind": post.get("kind"),
+ "votes": post.get("votes", {})
+ })
+
+ # Parse NewsAPI articles
+ elif provider == "NewsAPI" and "articles" in data:
+ for article in data["articles"][:10]: # Take top 10
+ aggregated["articles"].append({
+ "title": article.get("title"),
+ "url": article.get("url"),
+ "source": article.get("source", {}).get("name"),
+ "published_at": article.get("publishedAt"),
+ "description": article.get("description")
+ })
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_news_data()
+
+ print("\n=== News Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Staleness: {result.get('staleness_minutes', 'N/A')} minutes")
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ print(f"Items: {result.get('post_count', 0) + result.get('article_count', 0)}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/news_extended.py b/app/final/collectors/news_extended.py
new file mode 100644
index 0000000000000000000000000000000000000000..155a7ca29f3f97c6c55df779b94f956646ac59ef
--- /dev/null
+++ b/app/final/collectors/news_extended.py
@@ -0,0 +1,362 @@
+"""
+Extended News Collectors
+Fetches news from RSS feeds, CoinDesk, CoinTelegraph, and other crypto news sources
+"""
+
+import asyncio
+import feedparser
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("news_extended_collector")
+
+
+async def get_rss_feed(provider: str, feed_url: str) -> Dict[str, Any]:
+ """
+ Fetch and parse RSS feed from a news source
+
+ Args:
+ provider: Provider name
+ feed_url: RSS feed URL
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ category = "news"
+ endpoint = "/rss"
+
+ logger.info(f"Fetching RSS feed from {provider}")
+
+ try:
+ client = get_client()
+
+ # Fetch RSS feed
+ response = await client.get(feed_url, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Parse RSS feed
+ raw_data = response.get("raw_content", "")
+ if not raw_data:
+ raw_data = str(response.get("data", ""))
+
+ # Use feedparser to parse RSS
+ feed = feedparser.parse(raw_data)
+
+ news_data = None
+ if feed and hasattr(feed, 'entries'):
+ entries = feed.entries[:10] # Get top 10 articles
+
+ articles = []
+ for entry in entries:
+ article = {
+ "title": entry.get("title", ""),
+ "link": entry.get("link", ""),
+ "published": entry.get("published", ""),
+ "summary": entry.get("summary", "")[:200] if "summary" in entry else None
+ }
+ articles.append(article)
+
+ news_data = {
+ "feed_title": feed.feed.get("title", provider) if hasattr(feed, 'feed') else provider,
+ "total_entries": len(feed.entries),
+ "articles": articles
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {len(feed.entries) if feed else 0} articles")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": news_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_coindesk_news() -> Dict[str, Any]:
+ """
+ Fetch news from CoinDesk RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("CoinDesk", "https://www.coindesk.com/arc/outboundfeeds/rss/")
+
+
+async def get_cointelegraph_news() -> Dict[str, Any]:
+ """
+ Fetch news from CoinTelegraph RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("CoinTelegraph", "https://cointelegraph.com/rss")
+
+
+async def get_decrypt_news() -> Dict[str, Any]:
+ """
+ Fetch news from Decrypt RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("Decrypt", "https://decrypt.co/feed")
+
+
+async def get_bitcoinmagazine_news() -> Dict[str, Any]:
+ """
+ Fetch news from Bitcoin Magazine RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("BitcoinMagazine", "https://bitcoinmagazine.com/.rss/full/")
+
+
+async def get_theblock_news() -> Dict[str, Any]:
+ """
+ Fetch news from The Block
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("TheBlock", "https://www.theblock.co/rss.xml")
+
+
+async def get_cryptoslate_news() -> Dict[str, Any]:
+ """
+ Fetch news from CryptoSlate
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "CryptoSlate"
+ category = "news"
+ endpoint = "/newslist"
+
+ logger.info(f"Fetching news from {provider}")
+
+ try:
+ client = get_client()
+
+ # CryptoSlate API endpoint (if available)
+ url = "https://cryptoslate.com/wp-json/cs/v1/posts"
+
+ params = {
+ "per_page": 10,
+ "orderby": "date"
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # Fallback to RSS feed
+ logger.info(f"{provider} - API failed, trying RSS feed")
+ return await get_rss_feed(provider, "https://cryptoslate.com/feed/")
+
+ # Extract data
+ data = response["data"]
+
+ news_data = None
+ if isinstance(data, list):
+ articles = [
+ {
+ "title": article.get("title", {}).get("rendered", ""),
+ "link": article.get("link", ""),
+ "published": article.get("date", ""),
+ "excerpt": article.get("excerpt", {}).get("rendered", "")[:200]
+ }
+ for article in data
+ ]
+
+ news_data = {
+ "total_entries": len(articles),
+ "articles": articles
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {len(data) if isinstance(data, list) else 0} articles")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": news_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ # Fallback to RSS feed on error
+ logger.info(f"{provider} - Exception occurred, trying RSS feed")
+ return await get_rss_feed(provider, "https://cryptoslate.com/feed/")
+
+
+async def get_cryptonews_feed() -> Dict[str, Any]:
+ """
+ Fetch news from Crypto.news RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("CryptoNews", "https://crypto.news/feed/")
+
+
+async def get_coinjournal_news() -> Dict[str, Any]:
+ """
+ Fetch news from CoinJournal RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("CoinJournal", "https://coinjournal.net/feed/")
+
+
+async def get_beincrypto_news() -> Dict[str, Any]:
+ """
+ Fetch news from BeInCrypto RSS feed
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("BeInCrypto", "https://beincrypto.com/feed/")
+
+
+async def get_cryptobriefing_news() -> Dict[str, Any]:
+ """
+ Fetch news from CryptoBriefing
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ return await get_rss_feed("CryptoBriefing", "https://cryptobriefing.com/feed/")
+
+
+async def collect_extended_news() -> List[Dict[str, Any]]:
+ """
+ Main function to collect news from all extended sources
+
+ Returns:
+ List of results from all news collectors
+ """
+ logger.info("Starting extended news collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_coindesk_news(),
+ get_cointelegraph_news(),
+ get_decrypt_news(),
+ get_bitcoinmagazine_news(),
+ get_theblock_news(),
+ get_cryptoslate_news(),
+ get_cryptonews_feed(),
+ get_coinjournal_news(),
+ get_beincrypto_news(),
+ get_cryptobriefing_news(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "news",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ total_articles = sum(
+ r.get("data", {}).get("total_entries", 0)
+ for r in processed_results
+ if r.get("success", False) and r.get("data")
+ )
+
+ logger.info(
+ f"Extended news collection complete: {successful}/{len(processed_results)} sources successful, "
+ f"{total_articles} total articles"
+ )
+
+ return processed_results
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_extended_news()
+
+ print("\n=== Extended News Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+
+ if result['success']:
+ data = result.get('data', {})
+ if data:
+ print(f"Total Articles: {data.get('total_entries', 'N/A')}")
+ articles = data.get('articles', [])
+ if articles:
+ print(f"Latest: {articles[0].get('title', 'N/A')[:60]}...")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/onchain.py b/app/final/collectors/onchain.py
new file mode 100644
index 0000000000000000000000000000000000000000..6392fe36e257867a0374bc1c005ca36990ba4515
--- /dev/null
+++ b/app/final/collectors/onchain.py
@@ -0,0 +1,508 @@
+"""
+On-Chain Analytics Collectors
+Placeholder implementations for The Graph and Blockchair data collection
+
+These collectors are designed to be extended with actual implementations
+when on-chain data sources are integrated.
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("onchain_collector")
+
+
+def calculate_staleness_minutes(data_timestamp: Optional[datetime]) -> Optional[float]:
+ """
+ Calculate staleness in minutes from data timestamp to now
+
+ Args:
+ data_timestamp: Timestamp of the data
+
+ Returns:
+ Staleness in minutes or None if timestamp not available
+ """
+ if not data_timestamp:
+ return None
+
+ now = datetime.now(timezone.utc)
+ if data_timestamp.tzinfo is None:
+ data_timestamp = data_timestamp.replace(tzinfo=timezone.utc)
+
+ delta = now - data_timestamp
+ return delta.total_seconds() / 60.0
+
+
+async def get_the_graph_data() -> Dict[str, Any]:
+ """
+ Fetch on-chain data from The Graph protocol - Uniswap V3 subgraph
+
+ The Graph is a decentralized protocol for indexing and querying blockchain data.
+ This implementation queries the Uniswap V3 subgraph for DEX metrics.
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "TheGraph"
+ category = "onchain_analytics"
+ endpoint = "/subgraphs/uniswap-v3"
+
+ logger.info(f"Fetching on-chain data from {provider}")
+
+ try:
+ client = get_client()
+
+ # Uniswap V3 subgraph endpoint
+ url = "https://api.thegraph.com/subgraphs/name/uniswap/uniswap-v3"
+
+ # GraphQL query to get top pools and overall stats
+ query = """
+ {
+ factories(first: 1) {
+ totalVolumeUSD
+ totalValueLockedUSD
+ txCount
+ }
+ pools(first: 10, orderBy: totalValueLockedUSD, orderDirection: desc) {
+ id
+ token0 {
+ symbol
+ }
+ token1 {
+ symbol
+ }
+ totalValueLockedUSD
+ volumeUSD
+ txCount
+ }
+ }
+ """
+
+ payload = {"query": query}
+ headers = {"Content-Type": "application/json"}
+
+ # Make request
+ response = await client.post(url, json=payload, headers=headers, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ raw_data = response["data"]
+
+ graph_data = None
+ if isinstance(raw_data, dict) and "data" in raw_data:
+ data = raw_data["data"]
+ factories = data.get("factories", [])
+ pools = data.get("pools", [])
+
+ if factories:
+ factory = factories[0]
+ graph_data = {
+ "protocol": "Uniswap V3",
+ "total_volume_usd": float(factory.get("totalVolumeUSD", 0)),
+ "total_tvl_usd": float(factory.get("totalValueLockedUSD", 0)),
+ "total_transactions": int(factory.get("txCount", 0)),
+ "top_pools": [
+ {
+ "pair": f"{pool.get('token0', {}).get('symbol', '?')}/{pool.get('token1', {}).get('symbol', '?')}",
+ "tvl_usd": float(pool.get("totalValueLockedUSD", 0)),
+ "volume_usd": float(pool.get("volumeUSD", 0)),
+ "tx_count": int(pool.get("txCount", 0))
+ }
+ for pool in pools
+ ]
+ }
+
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ logger.info(
+ f"{provider} - {endpoint} - TVL: ${graph_data.get('total_tvl_usd', 0):,.0f}"
+ if graph_data else f"{provider} - {endpoint} - No data"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": graph_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_blockchair_data() -> Dict[str, Any]:
+ """
+ Fetch blockchain statistics from Blockchair
+
+ Blockchair is a blockchain explorer and analytics platform.
+ This implementation fetches Bitcoin and Ethereum network statistics.
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "Blockchair"
+ category = "onchain_analytics"
+ endpoint = "/stats"
+
+ logger.info(f"Fetching blockchain stats from {provider}")
+
+ try:
+ client = get_client()
+
+ # Fetch stats for BTC and ETH
+ btc_url = "https://api.blockchair.com/bitcoin/stats"
+ eth_url = "https://api.blockchair.com/ethereum/stats"
+
+ # Make concurrent requests
+ btc_response, eth_response = await asyncio.gather(
+ client.get(btc_url, timeout=10),
+ client.get(eth_url, timeout=10),
+ return_exceptions=True
+ )
+
+ # Log requests
+ if not isinstance(btc_response, Exception):
+ log_api_request(
+ logger,
+ provider,
+ f"{endpoint}/bitcoin",
+ btc_response.get("response_time_ms", 0),
+ "success" if btc_response["success"] else "error",
+ btc_response.get("status_code")
+ )
+
+ if not isinstance(eth_response, Exception):
+ log_api_request(
+ logger,
+ provider,
+ f"{endpoint}/ethereum",
+ eth_response.get("response_time_ms", 0),
+ "success" if eth_response["success"] else "error",
+ eth_response.get("status_code")
+ )
+
+ # Process Bitcoin data
+ btc_data = None
+ if not isinstance(btc_response, Exception) and btc_response.get("success"):
+ raw_btc = btc_response.get("data", {})
+ if isinstance(raw_btc, dict) and "data" in raw_btc:
+ btc_stats = raw_btc["data"]
+ btc_data = {
+ "blocks": btc_stats.get("blocks"),
+ "transactions": btc_stats.get("transactions"),
+ "market_price_usd": btc_stats.get("market_price_usd"),
+ "hashrate_24h": btc_stats.get("hashrate_24h"),
+ "difficulty": btc_stats.get("difficulty"),
+ "mempool_size": btc_stats.get("mempool_size"),
+ "mempool_transactions": btc_stats.get("mempool_transactions")
+ }
+
+ # Process Ethereum data
+ eth_data = None
+ if not isinstance(eth_response, Exception) and eth_response.get("success"):
+ raw_eth = eth_response.get("data", {})
+ if isinstance(raw_eth, dict) and "data" in raw_eth:
+ eth_stats = raw_eth["data"]
+ eth_data = {
+ "blocks": eth_stats.get("blocks"),
+ "transactions": eth_stats.get("transactions"),
+ "market_price_usd": eth_stats.get("market_price_usd"),
+ "hashrate_24h": eth_stats.get("hashrate_24h"),
+ "difficulty": eth_stats.get("difficulty"),
+ "mempool_size": eth_stats.get("mempool_tps")
+ }
+
+ blockchair_data = {
+ "bitcoin": btc_data,
+ "ethereum": eth_data
+ }
+
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ logger.info(
+ f"{provider} - {endpoint} - BTC blocks: {btc_data.get('blocks', 'N/A') if btc_data else 'N/A'}, "
+ f"ETH blocks: {eth_data.get('blocks', 'N/A') if eth_data else 'N/A'}"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": blockchair_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": (btc_response.get("response_time_ms", 0) if not isinstance(btc_response, Exception) else 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_glassnode_metrics() -> Dict[str, Any]:
+ """
+ Fetch advanced on-chain metrics from Glassnode (placeholder)
+
+ Glassnode provides advanced on-chain analytics and metrics.
+ This is a placeholder implementation that should be extended with:
+ - NUPL (Net Unrealized Profit/Loss)
+ - SOPR (Spent Output Profit Ratio)
+ - Exchange flows
+ - Whale transactions
+ - Active addresses
+ - Realized cap
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "Glassnode"
+ category = "onchain_analytics"
+ endpoint = "/metrics"
+
+ logger.info(f"Fetching on-chain metrics from {provider} (placeholder)")
+
+ try:
+ # Placeholder implementation
+ # Glassnode API requires API key and has extensive metrics
+ # Example metrics: NUPL, SOPR, Exchange Flows, Miner Revenue, etc.
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "Glassnode integration not yet implemented",
+ "planned_metrics": [
+ "NUPL - Net Unrealized Profit/Loss",
+ "SOPR - Spent Output Profit Ratio",
+ "Exchange Net Flows",
+ "Whale Transaction Count",
+ "Active Addresses",
+ "Realized Cap",
+ "MVRV Ratio",
+ "Supply in Profit",
+ "Long/Short Term Holder Supply"
+ ],
+ "note": "Requires Glassnode API key for access"
+ }
+
+ data_timestamp = datetime.now(timezone.utc)
+ staleness = 0.0
+
+ logger.info(f"{provider} - {endpoint} - Placeholder data returned")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat(),
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_onchain_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect on-chain analytics data from all sources
+
+ Currently returns placeholder implementations for:
+ - The Graph (GraphQL-based blockchain data)
+ - Blockchair (blockchain explorer and stats)
+ - Glassnode (advanced on-chain metrics)
+
+ Returns:
+ List of results from all on-chain collectors
+ """
+ logger.info("Starting on-chain data collection from all sources (placeholder)")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_the_graph_data(),
+ get_blockchair_data(),
+ get_glassnode_metrics(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "onchain_analytics",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ placeholder_count = sum(1 for r in processed_results if r.get("is_placeholder", False))
+
+ logger.info(
+ f"On-chain data collection complete: {successful}/{len(processed_results)} successful "
+ f"({placeholder_count} placeholders)"
+ )
+
+ return processed_results
+
+
+class OnChainCollector:
+ """
+ On-Chain Analytics Collector class for WebSocket streaming interface
+ Wraps the standalone on-chain data collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the on-chain collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect on-chain analytics data from all sources
+
+ Returns:
+ Dict with aggregated on-chain data
+ """
+ results = await collect_onchain_data()
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "active_addresses": None,
+ "transaction_count": None,
+ "total_fees": None,
+ "gas_price": None,
+ "network_utilization": None,
+ "contract_events": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+ data = result["data"]
+
+ # Skip placeholders but still return basic structure
+ if isinstance(data, dict) and data.get("status") == "placeholder":
+ continue
+
+ # Parse data from various providers (when implemented)
+ # Currently all are placeholders, so this will be empty
+ pass
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_onchain_data()
+
+ print("\n=== On-Chain Data Collection Results ===")
+ print("Note: These are placeholder implementations")
+ print()
+
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Is Placeholder: {result.get('is_placeholder', False)}")
+ if result['success']:
+ data = result.get('data', {})
+ if isinstance(data, dict):
+ print(f"Status: {data.get('status', 'N/A')}")
+ print(f"Message: {data.get('message', 'N/A')}")
+ if 'planned_features' in data:
+ print(f"Planned Features: {len(data['planned_features'])}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ print("\n" + "="*50)
+ print("To implement these collectors:")
+ print("1. The Graph: Add GraphQL queries for specific subgraphs")
+ print("2. Blockchair: Add API key and implement endpoint calls")
+ print("3. Glassnode: Add API key and implement metrics fetching")
+ print("="*50)
+
+ asyncio.run(main())
diff --git a/app/final/collectors/rpc_nodes.py b/app/final/collectors/rpc_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..60ce216a97257190d689515be6d00cd5a4c3f683
--- /dev/null
+++ b/app/final/collectors/rpc_nodes.py
@@ -0,0 +1,635 @@
+"""
+RPC Node Collectors
+Fetches blockchain data from RPC endpoints (Infura, Alchemy, Ankr, etc.)
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("rpc_collector")
+
+
+async def get_eth_block_number(provider: str, rpc_url: str, api_key: Optional[str] = None) -> Dict[str, Any]:
+ """
+ Fetch latest Ethereum block number from RPC endpoint
+
+ Args:
+ provider: Provider name (e.g., "Infura", "Alchemy")
+ rpc_url: RPC endpoint URL
+ api_key: Optional API key to append to URL
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ category = "rpc_nodes"
+ endpoint = "eth_blockNumber"
+
+ logger.info(f"Fetching block number from {provider}")
+
+ try:
+ client = get_client()
+
+ # Build URL with API key if provided
+ url = f"{rpc_url}/{api_key}" if api_key else rpc_url
+
+ # JSON-RPC request payload
+ payload = {
+ "jsonrpc": "2.0",
+ "method": "eth_blockNumber",
+ "params": [],
+ "id": 1
+ }
+
+ headers = {"Content-Type": "application/json"}
+
+ # Make request
+ response = await client.post(url, json=payload, headers=headers, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse hex block number
+ block_data = None
+ if isinstance(data, dict) and "result" in data:
+ hex_block = data["result"]
+ block_number = int(hex_block, 16) if hex_block else 0
+ block_data = {
+ "block_number": block_number,
+ "hex": hex_block,
+ "chain": "ethereum"
+ }
+
+ logger.info(f"{provider} - {endpoint} - Block: {block_data.get('block_number', 'N/A')}")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": block_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_eth_gas_price(provider: str, rpc_url: str, api_key: Optional[str] = None) -> Dict[str, Any]:
+ """
+ Fetch current gas price from RPC endpoint
+
+ Args:
+ provider: Provider name
+ rpc_url: RPC endpoint URL
+ api_key: Optional API key
+
+ Returns:
+ Dict with gas price data
+ """
+ category = "rpc_nodes"
+ endpoint = "eth_gasPrice"
+
+ logger.info(f"Fetching gas price from {provider}")
+
+ try:
+ client = get_client()
+ url = f"{rpc_url}/{api_key}" if api_key else rpc_url
+
+ payload = {
+ "jsonrpc": "2.0",
+ "method": "eth_gasPrice",
+ "params": [],
+ "id": 1
+ }
+
+ headers = {"Content-Type": "application/json"}
+ response = await client.post(url, json=payload, headers=headers, timeout=10)
+
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ data = response["data"]
+ gas_data = None
+
+ if isinstance(data, dict) and "result" in data:
+ hex_gas = data["result"]
+ gas_wei = int(hex_gas, 16) if hex_gas else 0
+ gas_gwei = gas_wei / 1e9
+
+ gas_data = {
+ "gas_price_wei": gas_wei,
+ "gas_price_gwei": round(gas_gwei, 2),
+ "hex": hex_gas,
+ "chain": "ethereum"
+ }
+
+ logger.info(f"{provider} - {endpoint} - Gas: {gas_data.get('gas_price_gwei', 'N/A')} Gwei")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": gas_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_eth_chain_id(provider: str, rpc_url: str, api_key: Optional[str] = None) -> Dict[str, Any]:
+ """
+ Fetch chain ID from RPC endpoint
+
+ Args:
+ provider: Provider name
+ rpc_url: RPC endpoint URL
+ api_key: Optional API key
+
+ Returns:
+ Dict with chain ID data
+ """
+ category = "rpc_nodes"
+ endpoint = "eth_chainId"
+
+ try:
+ client = get_client()
+ url = f"{rpc_url}/{api_key}" if api_key else rpc_url
+
+ payload = {
+ "jsonrpc": "2.0",
+ "method": "eth_chainId",
+ "params": [],
+ "id": 1
+ }
+
+ headers = {"Content-Type": "application/json"}
+ response = await client.post(url, json=payload, headers=headers, timeout=10)
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg
+ }
+
+ data = response["data"]
+ chain_data = None
+
+ if isinstance(data, dict) and "result" in data:
+ hex_chain = data["result"]
+ chain_id = int(hex_chain, 16) if hex_chain else 0
+
+ # Map chain IDs to names
+ chain_names = {
+ 1: "Ethereum Mainnet",
+ 3: "Ropsten",
+ 4: "Rinkeby",
+ 5: "Goerli",
+ 11155111: "Sepolia",
+ 56: "BSC Mainnet",
+ 97: "BSC Testnet",
+ 137: "Polygon Mainnet",
+ 80001: "Mumbai Testnet"
+ }
+
+ chain_data = {
+ "chain_id": chain_id,
+ "chain_name": chain_names.get(chain_id, f"Unknown (ID: {chain_id})"),
+ "hex": hex_chain
+ }
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": chain_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(e),
+ "error_type": "exception"
+ }
+
+
+async def collect_infura_data(api_key: Optional[str] = None) -> List[Dict[str, Any]]:
+ """
+ Collect data from Infura RPC endpoints
+
+ Args:
+ api_key: Infura project ID
+
+ Returns:
+ List of results from Infura endpoints
+ """
+ provider = "Infura"
+ rpc_url = "https://mainnet.infura.io/v3"
+
+ if not api_key:
+ logger.warning(f"{provider} - No API key provided, skipping")
+ return [{
+ "provider": provider,
+ "category": "rpc_nodes",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": "API key required",
+ "error_type": "missing_api_key"
+ }]
+
+ logger.info(f"Starting {provider} data collection")
+
+ results = await asyncio.gather(
+ get_eth_block_number(provider, rpc_url, api_key),
+ get_eth_gas_price(provider, rpc_url, api_key),
+ get_eth_chain_id(provider, rpc_url, api_key),
+ return_exceptions=True
+ )
+
+ processed = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"{provider} - Collector failed: {str(result)}")
+ processed.append({
+ "provider": provider,
+ "category": "rpc_nodes",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed.append(result)
+
+ successful = sum(1 for r in processed if r.get("success", False))
+ logger.info(f"{provider} - Collection complete: {successful}/{len(processed)} successful")
+
+ return processed
+
+
+async def collect_alchemy_data(api_key: Optional[str] = None) -> List[Dict[str, Any]]:
+ """
+ Collect data from Alchemy RPC endpoints
+
+ Args:
+ api_key: Alchemy API key
+
+ Returns:
+ List of results from Alchemy endpoints
+ """
+ provider = "Alchemy"
+ rpc_url = "https://eth-mainnet.g.alchemy.com/v2"
+
+ if not api_key:
+ logger.warning(f"{provider} - No API key provided, using free tier")
+ # Alchemy has a public demo endpoint
+ api_key = "demo"
+
+ logger.info(f"Starting {provider} data collection")
+
+ results = await asyncio.gather(
+ get_eth_block_number(provider, rpc_url, api_key),
+ get_eth_gas_price(provider, rpc_url, api_key),
+ get_eth_chain_id(provider, rpc_url, api_key),
+ return_exceptions=True
+ )
+
+ processed = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"{provider} - Collector failed: {str(result)}")
+ processed.append({
+ "provider": provider,
+ "category": "rpc_nodes",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed.append(result)
+
+ successful = sum(1 for r in processed if r.get("success", False))
+ logger.info(f"{provider} - Collection complete: {successful}/{len(processed)} successful")
+
+ return processed
+
+
+async def collect_ankr_data() -> List[Dict[str, Any]]:
+ """
+ Collect data from Ankr public RPC endpoints (no key required)
+
+ Returns:
+ List of results from Ankr endpoints
+ """
+ provider = "Ankr"
+ rpc_url = "https://rpc.ankr.com/eth"
+
+ logger.info(f"Starting {provider} data collection")
+
+ results = await asyncio.gather(
+ get_eth_block_number(provider, rpc_url),
+ get_eth_gas_price(provider, rpc_url),
+ get_eth_chain_id(provider, rpc_url),
+ return_exceptions=True
+ )
+
+ processed = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"{provider} - Collector failed: {str(result)}")
+ processed.append({
+ "provider": provider,
+ "category": "rpc_nodes",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed.append(result)
+
+ successful = sum(1 for r in processed if r.get("success", False))
+ logger.info(f"{provider} - Collection complete: {successful}/{len(processed)} successful")
+
+ return processed
+
+
+async def collect_public_rpc_data() -> List[Dict[str, Any]]:
+ """
+ Collect data from free public RPC endpoints
+
+ Returns:
+ List of results from public endpoints
+ """
+ logger.info("Starting public RPC data collection")
+
+ public_rpcs = [
+ ("Cloudflare", "https://cloudflare-eth.com"),
+ ("PublicNode", "https://ethereum.publicnode.com"),
+ ("LlamaNodes", "https://eth.llamarpc.com"),
+ ]
+
+ all_results = []
+
+ for provider, rpc_url in public_rpcs:
+ results = await asyncio.gather(
+ get_eth_block_number(provider, rpc_url),
+ get_eth_gas_price(provider, rpc_url),
+ return_exceptions=True
+ )
+
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"{provider} - Collector failed: {str(result)}")
+ all_results.append({
+ "provider": provider,
+ "category": "rpc_nodes",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ all_results.append(result)
+
+ successful = sum(1 for r in all_results if r.get("success", False))
+ logger.info(f"Public RPC collection complete: {successful}/{len(all_results)} successful")
+
+ return all_results
+
+
+async def collect_rpc_data(
+ infura_key: Optional[str] = None,
+ alchemy_key: Optional[str] = None
+) -> List[Dict[str, Any]]:
+ """
+ Main function to collect RPC data from all sources
+
+ Args:
+ infura_key: Infura project ID
+ alchemy_key: Alchemy API key
+
+ Returns:
+ List of results from all RPC collectors
+ """
+ logger.info("Starting RPC data collection from all sources")
+
+ # Collect from all providers
+ all_results = []
+
+ # Infura (requires key)
+ if infura_key:
+ infura_results = await collect_infura_data(infura_key)
+ all_results.extend(infura_results)
+
+ # Alchemy (has free tier)
+ alchemy_results = await collect_alchemy_data(alchemy_key)
+ all_results.extend(alchemy_results)
+
+ # Ankr (free, no key needed)
+ ankr_results = await collect_ankr_data()
+ all_results.extend(ankr_results)
+
+ # Public RPCs (free)
+ public_results = await collect_public_rpc_data()
+ all_results.extend(public_results)
+
+ # Log summary
+ successful = sum(1 for r in all_results if r.get("success", False))
+ logger.info(f"RPC data collection complete: {successful}/{len(all_results)} successful")
+
+ return all_results
+
+
+class RPCNodeCollector:
+ """
+ RPC Node Collector class for WebSocket streaming interface
+ Wraps the standalone RPC node collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the RPC node collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect RPC node data from all sources
+
+ Returns:
+ Dict with aggregated RPC node data
+ """
+ import os
+ infura_key = os.getenv("INFURA_API_KEY")
+ alchemy_key = os.getenv("ALCHEMY_API_KEY")
+ results = await collect_rpc_data(infura_key, alchemy_key)
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "nodes": [],
+ "active_nodes": 0,
+ "total_nodes": 0,
+ "average_latency": 0,
+ "events": [],
+ "block_number": None,
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ total_latency = 0
+ latency_count = 0
+
+ for result in results:
+ aggregated["total_nodes"] += 1
+
+ if result.get("success"):
+ aggregated["active_nodes"] += 1
+ provider = result.get("provider", "unknown")
+ response_time = result.get("response_time_ms", 0)
+ data = result.get("data", {})
+
+ # Track latency
+ if response_time:
+ total_latency += response_time
+ latency_count += 1
+
+ # Add node info
+ node_info = {
+ "provider": provider,
+ "response_time_ms": response_time,
+ "status": "active",
+ "data": data
+ }
+
+ # Extract block number
+ if "result" in data and isinstance(data["result"], str):
+ try:
+ block_number = int(data["result"], 16)
+ node_info["block_number"] = block_number
+ if aggregated["block_number"] is None or block_number > aggregated["block_number"]:
+ aggregated["block_number"] = block_number
+ except:
+ pass
+
+ aggregated["nodes"].append(node_info)
+
+ # Calculate average latency
+ if latency_count > 0:
+ aggregated["average_latency"] = total_latency / latency_count
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ import os
+
+ infura_key = os.getenv("INFURA_API_KEY")
+ alchemy_key = os.getenv("ALCHEMY_API_KEY")
+
+ results = await collect_rpc_data(infura_key, alchemy_key)
+
+ print("\n=== RPC Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ data = result.get('data', {})
+ if data:
+ print(f"Data: {data}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/scheduler_comprehensive.py b/app/final/collectors/scheduler_comprehensive.py
new file mode 100644
index 0000000000000000000000000000000000000000..f3450d8fc763f9b4dd21a78587794ed51bc0f5f8
--- /dev/null
+++ b/app/final/collectors/scheduler_comprehensive.py
@@ -0,0 +1,367 @@
+"""
+Comprehensive Scheduler for All Data Sources
+Schedules and runs data collection from all available sources with configurable intervals
+"""
+
+import asyncio
+import json
+from datetime import datetime, timezone, timedelta
+from typing import Dict, List, Optional, Any
+from pathlib import Path
+from utils.logger import setup_logger
+from collectors.master_collector import DataSourceCollector
+
+logger = setup_logger("comprehensive_scheduler")
+
+
+class ComprehensiveScheduler:
+ """
+ Comprehensive scheduler that manages data collection from all sources
+ """
+
+ def __init__(self, config_file: Optional[str] = None):
+ """
+ Initialize the comprehensive scheduler
+
+ Args:
+ config_file: Path to scheduler configuration file
+ """
+ self.collector = DataSourceCollector()
+ self.config_file = config_file or "scheduler_config.json"
+ self.config = self._load_config()
+ self.last_run_times: Dict[str, datetime] = {}
+ self.running = False
+ logger.info("Comprehensive Scheduler initialized")
+
+ def _load_config(self) -> Dict[str, Any]:
+ """
+ Load scheduler configuration
+
+ Returns:
+ Configuration dict
+ """
+ default_config = {
+ "schedules": {
+ "market_data": {
+ "interval_seconds": 60, # Every 1 minute
+ "enabled": True
+ },
+ "blockchain": {
+ "interval_seconds": 300, # Every 5 minutes
+ "enabled": True
+ },
+ "news": {
+ "interval_seconds": 600, # Every 10 minutes
+ "enabled": True
+ },
+ "sentiment": {
+ "interval_seconds": 1800, # Every 30 minutes
+ "enabled": True
+ },
+ "whale_tracking": {
+ "interval_seconds": 300, # Every 5 minutes
+ "enabled": True
+ },
+ "full_collection": {
+ "interval_seconds": 3600, # Every 1 hour
+ "enabled": True
+ }
+ },
+ "max_retries": 3,
+ "retry_delay_seconds": 5,
+ "persist_results": True,
+ "results_directory": "data/collections"
+ }
+
+ config_path = Path(self.config_file)
+ if config_path.exists():
+ try:
+ with open(config_path, 'r') as f:
+ loaded_config = json.load(f)
+ # Merge with defaults
+ default_config.update(loaded_config)
+ logger.info(f"Loaded scheduler config from {config_path}")
+ except Exception as e:
+ logger.error(f"Error loading config file: {e}, using defaults")
+
+ return default_config
+
+ def save_config(self):
+ """Save current configuration to file"""
+ try:
+ config_path = Path(self.config_file)
+ config_path.parent.mkdir(parents=True, exist_ok=True)
+
+ with open(config_path, 'w') as f:
+ json.dump(self.config, f, indent=2)
+
+ logger.info(f"Saved scheduler config to {config_path}")
+ except Exception as e:
+ logger.error(f"Error saving config: {e}")
+
+ async def _save_results(self, category: str, results: Any):
+ """
+ Save collection results to file
+
+ Args:
+ category: Category name
+ results: Results to save
+ """
+ if not self.config.get("persist_results", True):
+ return
+
+ try:
+ results_dir = Path(self.config.get("results_directory", "data/collections"))
+ results_dir.mkdir(parents=True, exist_ok=True)
+
+ timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
+ filename = results_dir / f"{category}_{timestamp}.json"
+
+ with open(filename, 'w') as f:
+ json.dump(results, f, indent=2, default=str)
+
+ logger.info(f"Saved {category} results to {filename}")
+ except Exception as e:
+ logger.error(f"Error saving results: {e}")
+
+ def should_run(self, category: str) -> bool:
+ """
+ Check if a category should run based on its schedule
+
+ Args:
+ category: Category name
+
+ Returns:
+ True if should run, False otherwise
+ """
+ schedule = self.config.get("schedules", {}).get(category, {})
+
+ if not schedule.get("enabled", True):
+ return False
+
+ interval = schedule.get("interval_seconds", 3600)
+ last_run = self.last_run_times.get(category)
+
+ if not last_run:
+ return True
+
+ elapsed = (datetime.now(timezone.utc) - last_run).total_seconds()
+ return elapsed >= interval
+
+ async def run_category_with_retry(self, category: str) -> Optional[Any]:
+ """
+ Run a category collection with retry logic
+
+ Args:
+ category: Category name
+
+ Returns:
+ Collection results or None if failed
+ """
+ max_retries = self.config.get("max_retries", 3)
+ retry_delay = self.config.get("retry_delay_seconds", 5)
+
+ for attempt in range(max_retries):
+ try:
+ logger.info(f"Running {category} collection (attempt {attempt + 1}/{max_retries})")
+
+ if category == "full_collection":
+ results = await self.collector.collect_all_data()
+ else:
+ results = await self.collector.collect_category(category)
+
+ self.last_run_times[category] = datetime.now(timezone.utc)
+
+ # Save results
+ await self._save_results(category, results)
+
+ return results
+
+ except Exception as e:
+ logger.error(f"Error in {category} collection (attempt {attempt + 1}): {e}")
+
+ if attempt < max_retries - 1:
+ logger.info(f"Retrying in {retry_delay} seconds...")
+ await asyncio.sleep(retry_delay)
+ else:
+ logger.error(f"Failed {category} collection after {max_retries} attempts")
+ return None
+
+ async def run_cycle(self):
+ """Run one scheduler cycle - check and run due categories"""
+ logger.info("Running scheduler cycle...")
+
+ categories = self.config.get("schedules", {}).keys()
+ tasks = []
+
+ for category in categories:
+ if self.should_run(category):
+ logger.info(f"Scheduling {category} collection")
+ task = self.run_category_with_retry(category)
+ tasks.append((category, task))
+
+ if tasks:
+ # Run all due collections in parallel
+ results = await asyncio.gather(*[task for _, task in tasks], return_exceptions=True)
+
+ for (category, _), result in zip(tasks, results):
+ if isinstance(result, Exception):
+ logger.error(f"{category} collection failed: {str(result)}")
+ else:
+ if result:
+ stats = result.get("statistics", {}) if isinstance(result, dict) else None
+ if stats:
+ logger.info(
+ f"{category} collection complete: "
+ f"{stats.get('successful_sources', 'N/A')}/{stats.get('total_sources', 'N/A')} successful"
+ )
+ else:
+ logger.info("No collections due in this cycle")
+
+ async def run_forever(self, cycle_interval: int = 30):
+ """
+ Run the scheduler forever with specified cycle interval
+
+ Args:
+ cycle_interval: Seconds between scheduler cycles
+ """
+ self.running = True
+ logger.info(f"Starting comprehensive scheduler (cycle interval: {cycle_interval}s)")
+
+ try:
+ while self.running:
+ await self.run_cycle()
+
+ # Wait for next cycle
+ logger.info(f"Waiting {cycle_interval} seconds until next cycle...")
+ await asyncio.sleep(cycle_interval)
+
+ except KeyboardInterrupt:
+ logger.info("Scheduler interrupted by user")
+ except Exception as e:
+ logger.error(f"Scheduler error: {e}")
+ finally:
+ self.running = False
+ logger.info("Scheduler stopped")
+
+ def stop(self):
+ """Stop the scheduler"""
+ logger.info("Stopping scheduler...")
+ self.running = False
+
+ async def run_once(self, category: Optional[str] = None):
+ """
+ Run a single collection immediately
+
+ Args:
+ category: Category to run, or None for full collection
+ """
+ if category:
+ logger.info(f"Running single {category} collection...")
+ results = await self.run_category_with_retry(category)
+ else:
+ logger.info("Running single full collection...")
+ results = await self.run_category_with_retry("full_collection")
+
+ return results
+
+ def get_status(self) -> Dict[str, Any]:
+ """
+ Get scheduler status
+
+ Returns:
+ Dict with scheduler status information
+ """
+ now = datetime.now(timezone.utc)
+ status = {
+ "running": self.running,
+ "current_time": now.isoformat(),
+ "schedules": {}
+ }
+
+ for category, schedule in self.config.get("schedules", {}).items():
+ last_run = self.last_run_times.get(category)
+ interval = schedule.get("interval_seconds", 0)
+
+ next_run = None
+ if last_run:
+ next_run = last_run + timedelta(seconds=interval)
+
+ time_until_next = None
+ if next_run:
+ time_until_next = (next_run - now).total_seconds()
+
+ status["schedules"][category] = {
+ "enabled": schedule.get("enabled", True),
+ "interval_seconds": interval,
+ "last_run": last_run.isoformat() if last_run else None,
+ "next_run": next_run.isoformat() if next_run else None,
+ "seconds_until_next": round(time_until_next, 2) if time_until_next else None,
+ "should_run_now": self.should_run(category)
+ }
+
+ return status
+
+ def update_schedule(self, category: str, interval_seconds: Optional[int] = None, enabled: Optional[bool] = None):
+ """
+ Update schedule for a category
+
+ Args:
+ category: Category name
+ interval_seconds: New interval in seconds
+ enabled: Enable/disable the schedule
+ """
+ if category not in self.config.get("schedules", {}):
+ logger.error(f"Unknown category: {category}")
+ return
+
+ if interval_seconds is not None:
+ self.config["schedules"][category]["interval_seconds"] = interval_seconds
+ logger.info(f"Updated {category} interval to {interval_seconds}s")
+
+ if enabled is not None:
+ self.config["schedules"][category]["enabled"] = enabled
+ logger.info(f"{'Enabled' if enabled else 'Disabled'} {category} schedule")
+
+ self.save_config()
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ scheduler = ComprehensiveScheduler()
+
+ # Show status
+ print("\n" + "=" * 80)
+ print("COMPREHENSIVE SCHEDULER STATUS")
+ print("=" * 80)
+
+ status = scheduler.get_status()
+ print(f"Running: {status['running']}")
+ print(f"Current Time: {status['current_time']}")
+ print("\nSchedules:")
+ print("-" * 80)
+
+ for category, sched in status['schedules'].items():
+ enabled = "✓" if sched['enabled'] else "✗"
+ interval = sched['interval_seconds']
+ next_run = sched.get('seconds_until_next', 'N/A')
+
+ print(f"{enabled} {category:20} | Interval: {interval:6}s | Next in: {next_run}")
+
+ print("=" * 80)
+
+ # Run once as example
+ print("\nRunning market_data collection once as example...")
+ results = await scheduler.run_once("market_data")
+
+ if results:
+ print(f"\nCollected {len(results)} market data sources")
+ successful = sum(1 for r in results if r.get('success', False))
+ print(f"Successful: {successful}/{len(results)}")
+
+ print("\n" + "=" * 80)
+ print("To run scheduler forever, use: scheduler.run_forever()")
+ print("=" * 80)
+
+ asyncio.run(main())
diff --git a/app/final/collectors/sentiment.py b/app/final/collectors/sentiment.py
new file mode 100644
index 0000000000000000000000000000000000000000..dc3f924ce391a464c39e6805b8886c98c71c2709
--- /dev/null
+++ b/app/final/collectors/sentiment.py
@@ -0,0 +1,290 @@
+"""
+Sentiment Data Collectors
+Fetches cryptocurrency sentiment data from Alternative.me Fear & Greed Index
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+from config import config
+
+logger = setup_logger("sentiment_collector")
+
+
+def calculate_staleness_minutes(data_timestamp: Optional[datetime]) -> Optional[float]:
+ """
+ Calculate staleness in minutes from data timestamp to now
+
+ Args:
+ data_timestamp: Timestamp of the data
+
+ Returns:
+ Staleness in minutes or None if timestamp not available
+ """
+ if not data_timestamp:
+ return None
+
+ now = datetime.now(timezone.utc)
+ if data_timestamp.tzinfo is None:
+ data_timestamp = data_timestamp.replace(tzinfo=timezone.utc)
+
+ delta = now - data_timestamp
+ return delta.total_seconds() / 60.0
+
+
+async def get_fear_greed_index() -> Dict[str, Any]:
+ """
+ Fetch current Fear & Greed Index from Alternative.me
+
+ The Fear & Greed Index is a sentiment indicator for the cryptocurrency market.
+ - 0-24: Extreme Fear
+ - 25-49: Fear
+ - 50-74: Greed
+ - 75-100: Extreme Greed
+
+ Returns:
+ Dict with provider, category, data, timestamp, staleness, success, error
+ """
+ provider = "AlternativeMe"
+ category = "sentiment"
+ endpoint = "/fng/"
+
+ logger.info(f"Fetching Fear & Greed Index from {provider}")
+
+ try:
+ client = get_client()
+ provider_config = config.get_provider(provider)
+
+ if not provider_config:
+ error_msg = f"Provider {provider} not configured"
+ log_error(logger, provider, "config_error", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg
+ }
+
+ # Build request URL
+ url = f"{provider_config.endpoint_url}{endpoint}"
+ params = {
+ "limit": "1", # Get only the latest index
+ "format": "json"
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=provider_config.timeout_ms // 1000)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Parse timestamp from response
+ data_timestamp = None
+ if isinstance(data, dict) and "data" in data:
+ data_list = data["data"]
+ if isinstance(data_list, list) and len(data_list) > 0:
+ index_data = data_list[0]
+ if isinstance(index_data, dict) and "timestamp" in index_data:
+ try:
+ # Alternative.me returns Unix timestamp
+ data_timestamp = datetime.fromtimestamp(
+ int(index_data["timestamp"]),
+ tz=timezone.utc
+ )
+ except:
+ pass
+
+ staleness = calculate_staleness_minutes(data_timestamp)
+
+ # Extract index value and classification
+ index_value = None
+ index_classification = None
+ if isinstance(data, dict) and "data" in data:
+ data_list = data["data"]
+ if isinstance(data_list, list) and len(data_list) > 0:
+ index_data = data_list[0]
+ if isinstance(index_data, dict):
+ index_value = index_data.get("value")
+ index_classification = index_data.get("value_classification")
+
+ logger.info(
+ f"{provider} - {endpoint} - Fear & Greed Index: {index_value} ({index_classification}), "
+ f"staleness: {staleness:.2f}m" if staleness else "staleness: N/A"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "data_timestamp": data_timestamp.isoformat() if data_timestamp else None,
+ "staleness_minutes": staleness,
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0),
+ "index_value": index_value,
+ "index_classification": index_classification
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def collect_sentiment_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect sentiment data from all sources
+
+ Currently collects from:
+ - Alternative.me Fear & Greed Index
+
+ Returns:
+ List of results from all sentiment collectors
+ """
+ logger.info("Starting sentiment data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_fear_greed_index(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "sentiment",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "staleness_minutes": None,
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ logger.info(f"Sentiment data collection complete: {successful}/{len(processed_results)} successful")
+
+ return processed_results
+
+
+# Alias for backward compatibility
+collect_sentiment = collect_sentiment_data
+
+
+class SentimentCollector:
+ """
+ Sentiment Collector class for WebSocket streaming interface
+ Wraps the standalone sentiment collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the sentiment collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect sentiment data from all sources
+
+ Returns:
+ Dict with aggregated sentiment data
+ """
+ results = await collect_sentiment_data()
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "overall_sentiment": None,
+ "sentiment_score": None,
+ "social_volume": None,
+ "trending_topics": [],
+ "by_source": {},
+ "social_trends": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+
+ # Parse Fear & Greed Index
+ if provider == "Alternative.me" and "data" in result["data"]:
+ index_data = result["data"]["data"][0] if result["data"]["data"] else {}
+ aggregated["sentiment_score"] = int(index_data.get("value", 0))
+ aggregated["overall_sentiment"] = index_data.get("value_classification", "neutral")
+ aggregated["by_source"][provider] = {
+ "value": aggregated["sentiment_score"],
+ "classification": aggregated["overall_sentiment"]
+ }
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_sentiment_data()
+
+ print("\n=== Sentiment Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Staleness: {result.get('staleness_minutes', 'N/A')} minutes")
+ if result['success']:
+ print(f"Response Time: {result.get('response_time_ms', 0):.2f}ms")
+ if result.get('index_value'):
+ print(f"Fear & Greed Index: {result['index_value']} ({result['index_classification']})")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/sentiment_extended.py b/app/final/collectors/sentiment_extended.py
new file mode 100644
index 0000000000000000000000000000000000000000..694218014145855fcfdafe3c02fd462ca1beb884
--- /dev/null
+++ b/app/final/collectors/sentiment_extended.py
@@ -0,0 +1,508 @@
+"""
+Extended Sentiment Collectors
+Fetches sentiment data from LunarCrush, Santiment, and other sentiment APIs
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("sentiment_extended_collector")
+
+
+async def get_lunarcrush_global() -> Dict[str, Any]:
+ """
+ Fetch global market sentiment from LunarCrush
+
+ Note: LunarCrush API v3 requires API key
+ Free tier available with limited requests
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "LunarCrush"
+ category = "sentiment"
+ endpoint = "/public/metrics/global"
+
+ logger.info(f"Fetching global sentiment from {provider}")
+
+ try:
+ client = get_client()
+
+ # LunarCrush public metrics (limited free access)
+ url = "https://lunarcrush.com/api3/public/metrics/global"
+
+ # Make request
+ response = await client.get(url, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # LunarCrush may require API key, return placeholder
+ logger.warning(f"{provider} - API requires authentication, returning placeholder")
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": "LunarCrush API requires authentication",
+ "planned_features": [
+ "Social media sentiment tracking",
+ "Galaxy Score (social activity metric)",
+ "AltRank (relative social dominance)",
+ "Influencer tracking",
+ "Social volume and engagement metrics"
+ ]
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ # Extract data
+ data = response["data"]
+
+ sentiment_data = None
+ if isinstance(data, dict):
+ sentiment_data = {
+ "social_volume": data.get("social_volume"),
+ "social_score": data.get("social_score"),
+ "market_sentiment": data.get("sentiment"),
+ "timestamp": data.get("timestamp")
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved sentiment data")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": sentiment_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": f"LunarCrush integration error: {str(e)}"
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+
+async def get_santiment_metrics() -> Dict[str, Any]:
+ """
+ Fetch sentiment metrics from Santiment
+
+ Note: Santiment API requires authentication
+ Provides on-chain, social, and development activity metrics
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "Santiment"
+ category = "sentiment"
+ endpoint = "/graphql"
+
+ logger.info(f"Fetching sentiment metrics from {provider} (placeholder)")
+
+ try:
+ # Santiment uses GraphQL API and requires authentication
+ # Placeholder implementation
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "Santiment API requires authentication and GraphQL queries",
+ "planned_metrics": [
+ "Social volume and trends",
+ "Development activity",
+ "Network growth",
+ "Exchange flow",
+ "MVRV ratio",
+ "Daily active addresses",
+ "Token age consumed",
+ "Crowd sentiment"
+ ],
+ "note": "Requires Santiment API key and SAN tokens for full access"
+ }
+
+ logger.info(f"{provider} - {endpoint} - Placeholder data returned")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_cryptoquant_sentiment() -> Dict[str, Any]:
+ """
+ Fetch on-chain sentiment from CryptoQuant
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "CryptoQuant"
+ category = "sentiment"
+ endpoint = "/sentiment"
+
+ logger.info(f"Fetching sentiment from {provider} (placeholder)")
+
+ try:
+ # CryptoQuant API requires authentication
+ # Placeholder implementation
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "CryptoQuant API requires authentication",
+ "planned_metrics": [
+ "Exchange reserves",
+ "Miner flows",
+ "Whale transactions",
+ "Stablecoin supply ratio",
+ "Funding rates",
+ "Open interest"
+ ]
+ }
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(e),
+ "error_type": "exception"
+ }
+
+
+async def get_augmento_signals() -> Dict[str, Any]:
+ """
+ Fetch market sentiment signals from Augmento.ai
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "Augmento"
+ category = "sentiment"
+ endpoint = "/signals"
+
+ logger.info(f"Fetching sentiment signals from {provider} (placeholder)")
+
+ try:
+ # Augmento provides AI-powered crypto sentiment signals
+ # Requires API key
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "Augmento API requires authentication",
+ "planned_features": [
+ "AI-powered sentiment signals",
+ "Topic extraction from social media",
+ "Emerging trend detection",
+ "Sentiment momentum indicators"
+ ]
+ }
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(e),
+ "error_type": "exception"
+ }
+
+
+async def get_thetie_sentiment() -> Dict[str, Any]:
+ """
+ Fetch sentiment data from TheTie.io
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "TheTie"
+ category = "sentiment"
+ endpoint = "/sentiment"
+
+ logger.info(f"Fetching sentiment from {provider} (placeholder)")
+
+ try:
+ # TheTie provides institutional-grade crypto market intelligence
+ # Requires API key
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "TheTie API requires authentication",
+ "planned_metrics": [
+ "Twitter sentiment scores",
+ "Social media momentum",
+ "Influencer tracking",
+ "Sentiment trends over time"
+ ]
+ }
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(e),
+ "error_type": "exception"
+ }
+
+
+async def get_coinmarketcal_events() -> Dict[str, Any]:
+ """
+ Fetch upcoming crypto events from CoinMarketCal (free API)
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "CoinMarketCal"
+ category = "sentiment"
+ endpoint = "/events"
+
+ logger.info(f"Fetching events from {provider}")
+
+ try:
+ client = get_client()
+
+ # CoinMarketCal API
+ url = "https://developers.coinmarketcal.com/v1/events"
+
+ params = {
+ "page": 1,
+ "max": 20,
+ "showOnly": "hot_events" # Only hot/important events
+ }
+
+ # Make request (may require API key for full access)
+ response = await client.get(url, params=params, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # If API requires key, return placeholder
+ logger.warning(f"{provider} - API may require authentication, returning placeholder")
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": "CoinMarketCal API may require authentication",
+ "planned_features": [
+ "Upcoming crypto events calendar",
+ "Project updates and announcements",
+ "Conferences and meetups",
+ "Hard forks and mainnet launches"
+ ]
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ # Extract data
+ data = response["data"]
+
+ events_data = None
+ if isinstance(data, dict) and "body" in data:
+ events = data["body"]
+
+ events_data = {
+ "total_events": len(events) if isinstance(events, list) else 0,
+ "upcoming_events": [
+ {
+ "title": event.get("title", {}).get("en"),
+ "coins": [coin.get("symbol") for coin in event.get("coins", [])],
+ "date": event.get("date_event"),
+ "proof": event.get("proof"),
+ "source": event.get("source")
+ }
+ for event in (events[:10] if isinstance(events, list) else [])
+ ]
+ }
+
+ logger.info(f"{provider} - {endpoint} - Retrieved {events_data.get('total_events', 0)} events")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": events_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": f"CoinMarketCal integration error: {str(e)}"
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+
+async def collect_extended_sentiment_data() -> List[Dict[str, Any]]:
+ """
+ Main function to collect extended sentiment data from all sources
+
+ Returns:
+ List of results from all sentiment collectors
+ """
+ logger.info("Starting extended sentiment data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_lunarcrush_global(),
+ get_santiment_metrics(),
+ get_cryptoquant_sentiment(),
+ get_augmento_signals(),
+ get_thetie_sentiment(),
+ get_coinmarketcal_events(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "sentiment",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ placeholder_count = sum(1 for r in processed_results if r.get("is_placeholder", False))
+
+ logger.info(
+ f"Extended sentiment collection complete: {successful}/{len(processed_results)} successful "
+ f"({placeholder_count} placeholders)"
+ )
+
+ return processed_results
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ results = await collect_extended_sentiment_data()
+
+ print("\n=== Extended Sentiment Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Is Placeholder: {result.get('is_placeholder', False)}")
+
+ if result['success']:
+ data = result.get('data', {})
+ if isinstance(data, dict):
+ if data.get('status') == 'placeholder':
+ print(f"Status: {data.get('message', 'N/A')}")
+ else:
+ print(f"Data keys: {list(data.keys())}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/collectors/whale_tracking.py b/app/final/collectors/whale_tracking.py
new file mode 100644
index 0000000000000000000000000000000000000000..bfb4f3f4df98ec63f976ffd0d34d7aa6e3ca5a65
--- /dev/null
+++ b/app/final/collectors/whale_tracking.py
@@ -0,0 +1,564 @@
+"""
+Whale Tracking Collectors
+Fetches whale transaction data from WhaleAlert, Arkham Intelligence, and other sources
+"""
+
+import asyncio
+from datetime import datetime, timezone
+from typing import Dict, List, Optional, Any
+from utils.api_client import get_client
+from utils.logger import setup_logger, log_api_request, log_error
+
+logger = setup_logger("whale_tracking_collector")
+
+
+async def get_whalealert_transactions(api_key: Optional[str] = None) -> Dict[str, Any]:
+ """
+ Fetch recent large crypto transactions from WhaleAlert
+
+ Args:
+ api_key: WhaleAlert API key
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "WhaleAlert"
+ category = "whale_tracking"
+ endpoint = "/transactions"
+
+ logger.info(f"Fetching whale transactions from {provider}")
+
+ try:
+ if not api_key:
+ error_msg = f"API key required for {provider}"
+ log_error(logger, provider, "missing_api_key", error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "missing_api_key"
+ }
+
+ client = get_client()
+
+ # WhaleAlert API endpoint
+ url = "https://api.whale-alert.io/v1/transactions"
+
+ # Get transactions from last hour
+ now = int(datetime.now(timezone.utc).timestamp())
+ start_time = now - 3600 # 1 hour ago
+
+ params = {
+ "api_key": api_key,
+ "start": start_time,
+ "limit": 100 # Max 100 transactions
+ }
+
+ # Make request
+ response = await client.get(url, params=params, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ error_msg = response.get("error_message", "Unknown error")
+ log_error(logger, provider, response.get("error_type", "unknown"), error_msg, endpoint)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": response.get("error_type")
+ }
+
+ # Extract data
+ data = response["data"]
+
+ # Process transactions
+ whale_data = None
+ if isinstance(data, dict) and "transactions" in data:
+ transactions = data["transactions"]
+
+ # Aggregate statistics
+ total_value_usd = sum(tx.get("amount_usd", 0) for tx in transactions)
+ symbols = set(tx.get("symbol", "unknown") for tx in transactions)
+
+ whale_data = {
+ "transaction_count": len(transactions),
+ "total_value_usd": round(total_value_usd, 2),
+ "unique_symbols": list(symbols),
+ "time_range_hours": 1,
+ "largest_tx": max(transactions, key=lambda x: x.get("amount_usd", 0)) if transactions else None,
+ "transactions": transactions[:10] # Keep only top 10 for brevity
+ }
+
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {whale_data.get('transaction_count', 0)} transactions, "
+ f"Total value: ${whale_data.get('total_value_usd', 0):,.0f}" if whale_data else "No data"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": whale_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_arkham_intel() -> Dict[str, Any]:
+ """
+ Fetch blockchain intelligence data from Arkham Intelligence
+
+ Note: Arkham requires authentication and may not have a public API.
+ This is a placeholder implementation that should be extended with proper API access.
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "Arkham"
+ category = "whale_tracking"
+ endpoint = "/intelligence"
+
+ logger.info(f"Fetching intelligence data from {provider} (placeholder)")
+
+ try:
+ # Placeholder implementation
+ # Arkham Intelligence may require special access or partnership
+ # They provide wallet labeling, entity tracking, and transaction analysis
+
+ placeholder_data = {
+ "status": "placeholder",
+ "message": "Arkham Intelligence API not yet implemented",
+ "planned_features": [
+ "Wallet address labeling",
+ "Entity tracking and attribution",
+ "Transaction flow analysis",
+ "Dark web marketplace monitoring",
+ "Exchange flow tracking"
+ ],
+ "note": "Requires Arkham API access or partnership"
+ }
+
+ logger.info(f"{provider} - {endpoint} - Placeholder data returned")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": placeholder_data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": error_msg,
+ "error_type": "exception"
+ }
+
+
+async def get_clankapp_whales() -> Dict[str, Any]:
+ """
+ Fetch whale tracking data from ClankApp
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "ClankApp"
+ category = "whale_tracking"
+ endpoint = "/whales"
+
+ logger.info(f"Fetching whale data from {provider}")
+
+ try:
+ client = get_client()
+
+ # ClankApp public API (if available)
+ # Note: This may require API key or may not have public endpoints
+ url = "https://clankapp.com/api/v1/whales"
+
+ # Make request
+ response = await client.get(url, timeout=10)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # If API is not available, return placeholder
+ logger.warning(f"{provider} - API not available, returning placeholder")
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": "ClankApp API not accessible or requires authentication",
+ "planned_features": [
+ "Whale wallet tracking",
+ "Large transaction alerts",
+ "Portfolio tracking"
+ ]
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ # Extract data
+ data = response["data"]
+
+ logger.info(f"{provider} - {endpoint} - Data retrieved successfully")
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": data,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": f"ClankApp integration error: {str(e)}"
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+
+async def get_bitquery_whale_transactions() -> Dict[str, Any]:
+ """
+ Fetch large transactions using BitQuery GraphQL API
+
+ Returns:
+ Dict with provider, category, data, timestamp, success, error
+ """
+ provider = "BitQuery"
+ category = "whale_tracking"
+ endpoint = "/graphql"
+
+ logger.info(f"Fetching whale transactions from {provider}")
+
+ try:
+ client = get_client()
+
+ # BitQuery GraphQL endpoint
+ url = "https://graphql.bitquery.io"
+
+ # GraphQL query for large transactions (>$100k)
+ query = """
+ {
+ ethereum(network: ethereum) {
+ transfers(
+ amount: {gt: 100000}
+ options: {limit: 10, desc: "amount"}
+ ) {
+ transaction {
+ hash
+ }
+ amount
+ currency {
+ symbol
+ name
+ }
+ sender {
+ address
+ }
+ receiver {
+ address
+ }
+ block {
+ timestamp {
+ iso8601
+ }
+ }
+ }
+ }
+ }
+ """
+
+ payload = {"query": query}
+ headers = {"Content-Type": "application/json"}
+
+ # Make request
+ response = await client.post(url, json=payload, headers=headers, timeout=15)
+
+ # Log request
+ log_api_request(
+ logger,
+ provider,
+ endpoint,
+ response.get("response_time_ms", 0),
+ "success" if response["success"] else "error",
+ response.get("status_code")
+ )
+
+ if not response["success"]:
+ # Return placeholder if API fails
+ logger.warning(f"{provider} - API request failed, returning placeholder")
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": "BitQuery API requires authentication",
+ "planned_features": [
+ "Large transaction tracking via GraphQL",
+ "Multi-chain whale monitoring",
+ "Token transfer analytics"
+ ]
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+ # Extract data
+ data = response["data"]
+
+ whale_data = None
+ if isinstance(data, dict) and "data" in data:
+ transfers = data.get("data", {}).get("ethereum", {}).get("transfers", [])
+
+ if transfers:
+ total_value = sum(t.get("amount", 0) for t in transfers)
+
+ whale_data = {
+ "transaction_count": len(transfers),
+ "total_value": round(total_value, 2),
+ "largest_transfers": transfers[:5]
+ }
+
+ logger.info(
+ f"{provider} - {endpoint} - Retrieved {whale_data.get('transaction_count', 0)} large transactions"
+ if whale_data else f"{provider} - {endpoint} - No data"
+ )
+
+ return {
+ "provider": provider,
+ "category": category,
+ "data": whale_data or {"status": "no_data", "message": "No large transactions found"},
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "response_time_ms": response.get("response_time_ms", 0)
+ }
+
+ except Exception as e:
+ error_msg = f"Unexpected error: {str(e)}"
+ log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
+ return {
+ "provider": provider,
+ "category": category,
+ "data": {
+ "status": "placeholder",
+ "message": f"BitQuery integration error: {str(e)}"
+ },
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": True,
+ "error": None,
+ "is_placeholder": True
+ }
+
+
+async def collect_whale_tracking_data(whalealert_key: Optional[str] = None) -> List[Dict[str, Any]]:
+ """
+ Main function to collect whale tracking data from all sources
+
+ Args:
+ whalealert_key: WhaleAlert API key
+
+ Returns:
+ List of results from all whale tracking collectors
+ """
+ logger.info("Starting whale tracking data collection from all sources")
+
+ # Run all collectors concurrently
+ results = await asyncio.gather(
+ get_whalealert_transactions(whalealert_key),
+ get_arkham_intel(),
+ get_clankapp_whales(),
+ get_bitquery_whale_transactions(),
+ return_exceptions=True
+ )
+
+ # Process results
+ processed_results = []
+ for result in results:
+ if isinstance(result, Exception):
+ logger.error(f"Collector failed with exception: {str(result)}")
+ processed_results.append({
+ "provider": "Unknown",
+ "category": "whale_tracking",
+ "data": None,
+ "timestamp": datetime.now(timezone.utc).isoformat(),
+ "success": False,
+ "error": str(result),
+ "error_type": "exception"
+ })
+ else:
+ processed_results.append(result)
+
+ # Log summary
+ successful = sum(1 for r in processed_results if r.get("success", False))
+ placeholder_count = sum(1 for r in processed_results if r.get("is_placeholder", False))
+
+ logger.info(
+ f"Whale tracking collection complete: {successful}/{len(processed_results)} successful "
+ f"({placeholder_count} placeholders)"
+ )
+
+ return processed_results
+
+
+class WhaleTrackingCollector:
+ """
+ Whale Tracking Collector class for WebSocket streaming interface
+ Wraps the standalone whale tracking collection functions
+ """
+
+ def __init__(self, config: Any = None):
+ """
+ Initialize the whale tracking collector
+
+ Args:
+ config: Configuration object (optional, for compatibility)
+ """
+ self.config = config
+ self.logger = logger
+
+ async def collect(self) -> Dict[str, Any]:
+ """
+ Collect whale tracking data from all sources
+
+ Returns:
+ Dict with aggregated whale tracking data
+ """
+ import os
+ whalealert_key = os.getenv("WHALEALERT_API_KEY")
+ results = await collect_whale_tracking_data(whalealert_key)
+
+ # Aggregate data for WebSocket streaming
+ aggregated = {
+ "large_transactions": [],
+ "whale_wallets": [],
+ "total_volume": 0,
+ "alert_threshold": 1000000, # $1M default threshold
+ "alerts": [],
+ "timestamp": datetime.now(timezone.utc).isoformat()
+ }
+
+ for result in results:
+ if result.get("success") and result.get("data"):
+ provider = result.get("provider", "unknown")
+ data = result["data"]
+
+ # Skip placeholders
+ if isinstance(data, dict) and data.get("status") == "placeholder":
+ continue
+
+ # Parse WhaleAlert transactions
+ if provider == "WhaleAlert" and isinstance(data, dict):
+ transactions = data.get("transactions", [])
+ for tx in transactions:
+ aggregated["large_transactions"].append({
+ "amount": tx.get("amount", 0),
+ "amount_usd": tx.get("amount_usd", 0),
+ "symbol": tx.get("symbol", "unknown"),
+ "from": tx.get("from", {}).get("owner", "unknown"),
+ "to": tx.get("to", {}).get("owner", "unknown"),
+ "timestamp": tx.get("timestamp"),
+ "source": provider
+ })
+ aggregated["total_volume"] += data.get("total_value_usd", 0)
+
+ # Parse other sources
+ elif isinstance(data, dict):
+ tx_count = data.get("transaction_count", 0)
+ total_value = data.get("total_value_usd", data.get("total_value", 0))
+ aggregated["total_volume"] += total_value
+
+ return aggregated
+
+
+# Example usage
+if __name__ == "__main__":
+ async def main():
+ import os
+
+ whalealert_key = os.getenv("WHALEALERT_API_KEY")
+
+ results = await collect_whale_tracking_data(whalealert_key)
+
+ print("\n=== Whale Tracking Data Collection Results ===")
+ for result in results:
+ print(f"\nProvider: {result['provider']}")
+ print(f"Success: {result['success']}")
+ print(f"Is Placeholder: {result.get('is_placeholder', False)}")
+
+ if result['success']:
+ data = result.get('data', {})
+ if isinstance(data, dict):
+ if data.get('status') == 'placeholder':
+ print(f"Status: {data.get('message', 'N/A')}")
+ else:
+ print(f"Transaction Count: {data.get('transaction_count', 'N/A')}")
+ print(f"Total Value: ${data.get('total_value_usd', data.get('total_value', 0)):,.0f}")
+ else:
+ print(f"Error: {result.get('error', 'Unknown')}")
+
+ asyncio.run(main())
diff --git a/app/final/complete_dashboard.html b/app/final/complete_dashboard.html
new file mode 100644
index 0000000000000000000000000000000000000000..7ca89714f6edfe4c29134354a692a67f05f75530
--- /dev/null
+++ b/app/final/complete_dashboard.html
@@ -0,0 +1,857 @@
+
+
+
+
+
+ Crypto API Monitor - Complete Dashboard
+
+
+
+
+ Live collectors + local fallback registry guarantee resilient insights. All numbers below already honor the FastAPI routes
+ (/api/crypto/prices/top, /api/crypto/market-overview, /health) so you can monitor status even when providers degrade.
+
';
+
+ if (logs.length === 0) {
+ html += this.createEmptyState('No logs available', 'Logs will appear here as the system runs');
+ } else {
+ html += '