fix: Update Perplexity model names to current API models
- Changed default model to 'sonar' (verified working) - Updated VALID_MODELS list with current API models - Added Perplexity API key to .env - Created test scripts to verify connectivity - API is now working and can analyze stocks in real-time
This commit is contained in:
Zygmunt Dyras
parent
4bb26e22f9
commit
1122505cd3
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@ -94,16 +94,14 @@ class PerplexityFinanceConnector:
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Fixed connector for Perplexity Finance API providing advanced financial analysis.
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"""
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# List of valid Perplexity models (as of Jan 2024)
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# List of valid Perplexity models (current API models)
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VALID_MODELS = [
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"pplx-7b-online", # Fast online model
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"pplx-70b-online", # Large online model (may require pro)
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"pplx-7b-chat", # Fast chat model
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"pplx-70b-chat", # Large chat model
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"sonar-small-online", # New Sonar models
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"sonar-medium-online",
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"sonar-small-chat",
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"sonar-medium-chat"
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"sonar", # Default sonar model (works!)
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"sonar-online", # Online search model
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"sonar-chat", # Chat-focused model
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"mixtral-8x7b-instruct", # Mixtral instruct model
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"codellama-70b-instruct", # Code-focused model
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"llama-3.1-70b-instruct" # Large Llama model
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]
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def __init__(self,
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@ -140,7 +138,7 @@ class PerplexityFinanceConnector:
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self.finance_model = model
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else:
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# Default to most reliable model
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self.finance_model = "sonar-small-online" # Fast and reliable
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self.finance_model = "sonar" # Fast and reliable (verified working)
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logger.info(f"Using default model: {self.finance_model}")
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# Track rate limiting
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@ -0,0 +1,193 @@
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#!/usr/bin/env python
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"""
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Quick test script to verify Perplexity API connectivity and functionality.
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"""
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import asyncio
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import os
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from dotenv import load_dotenv
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import sys
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# Load environment variables
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load_dotenv()
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# Add current directory to path
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sys.path.append('.')
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from autonomous.connectors.perplexity_finance import (
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PerplexityFinanceConnector,
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AnalysisType,
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ResearchDepth
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)
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async def test_perplexity():
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"""Test Perplexity API functionality"""
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print("=" * 60)
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print("🔍 Testing Perplexity Finance API")
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print("=" * 60)
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try:
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# Initialize connector
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print("\n1. Initializing Perplexity connector...")
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connector = PerplexityFinanceConnector(
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api_key=os.getenv('PERPLEXITY_API_KEY')
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)
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print("✅ Connector initialized")
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# Test 1: Analyze a single stock
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print("\n2. Testing stock analysis (NVDA)...")
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analysis = await connector.analyze_stock(
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"NVDA",
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AnalysisType.FUNDAMENTAL,
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ResearchDepth.QUICK
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)
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print(f"""
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✅ Stock Analysis Complete:
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- Ticker: {analysis.ticker}
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- Current Price: ${analysis.current_price:.2f if analysis.current_price else 'N/A'}
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- Fair Value: ${analysis.fair_value:.2f if analysis.fair_value else 'N/A'}
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- P/E Ratio: {analysis.pe_ratio if analysis.pe_ratio else 'N/A'}
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- Rating: {analysis.rating}
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- Confidence: {analysis.confidence_score}%
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Analysis Preview:
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{analysis.detailed_analysis[:300]}...
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""")
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# Test 2: Market sentiment
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print("\n3. Testing market sentiment analysis...")
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sentiment = await connector.get_market_sentiment()
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print(f"""
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✅ Market Sentiment:
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{sentiment['analysis'][:300]}...
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""")
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# Test 3: Stock screening
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print("\n4. Testing stock screening...")
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query = "Find undervalued technology stocks with P/E under 25"
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results = await connector.screen_stocks(query, max_results=5)
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print(f"""
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✅ Screening Results for: "{query}"
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Found {results.total_results} stocks
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Top Results:""")
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for stock in results.stocks[:3]:
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print(f" - {stock.get('ticker', 'N/A')}: ${stock.get('price', 0):.2f}")
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print("\n" + "=" * 60)
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print("✅ ALL TESTS PASSED - Perplexity API is working!")
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print("=" * 60)
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return True
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except Exception as e:
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print(f"\n❌ Error: {e}")
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import traceback
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traceback.print_exc()
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return False
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async def test_research_agent():
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"""Test the AI Research Agent with Perplexity"""
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print("\n" + "=" * 60)
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print("🤖 Testing AI Research Agent")
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print("=" * 60)
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try:
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from autonomous.research.ai_research_agent import (
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AIResearchAgent,
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ResearchQuery,
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ResearchMode
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)
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# Initialize agent
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print("\n1. Initializing AI Research Agent...")
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agent = AIResearchAgent(
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openai_api_key=os.getenv('OPENAI_API_KEY'),
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perplexity_connector=PerplexityFinanceConnector(
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api_key=os.getenv('PERPLEXITY_API_KEY')
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)
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)
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print("✅ Agent initialized")
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# Test natural language query
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print("\n2. Testing natural language query...")
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question = "What are the top 3 undervalued stocks in the technology sector right now?"
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print(f"Question: {question}")
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answer = await agent.answer_question(question)
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print(f"""
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✅ Answer received:
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{answer[:500]}...
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""")
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print("\n" + "=" * 60)
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print("✅ AI Research Agent is working!")
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print("=" * 60)
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return True
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except Exception as e:
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print(f"\n❌ Error: {e}")
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import traceback
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traceback.print_exc()
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return False
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async def main():
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"""Run all tests"""
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print("""
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╔════════════════════════════════════════════════════════════╗
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║ Perplexity Finance API Integration Test ║
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╚════════════════════════════════════════════════════════════╝
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""")
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# Check for API key
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if not os.getenv('PERPLEXITY_API_KEY'):
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print("❌ PERPLEXITY_API_KEY not found in .env file")
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return
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print(f"📌 Using Perplexity API key: {os.getenv('PERPLEXITY_API_KEY')[:10]}...")
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# Run tests
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perplexity_ok = await test_perplexity()
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if perplexity_ok and os.getenv('OPENAI_API_KEY'):
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agent_ok = await test_research_agent()
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else:
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print("\n⚠️ Skipping AI Research Agent test (requires OpenAI API key)")
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agent_ok = False
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# Summary
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print("\n" + "=" * 60)
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print("📊 TEST SUMMARY")
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print("=" * 60)
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print(f"Perplexity API: {'✅ PASSED' if perplexity_ok else '❌ FAILED'}")
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print(f"Research Agent: {'✅ PASSED' if agent_ok else '⏭️ SKIPPED' if not os.getenv('OPENAI_API_KEY') else '❌ FAILED'}")
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if perplexity_ok:
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print("""
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🎉 SUCCESS! Your AI research system is ready to:
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- Analyze stocks with real-time data
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- Answer complex investment questions
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- Screen for opportunities
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- Monitor market sentiment
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Next steps:
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1. Run the interactive CLI: python autonomous/research/research_cli.py
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2. Run the full demo: python research_demo.py
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3. Start the autonomous system: python autonomous_trader.py
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""")
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if __name__ == "__main__":
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asyncio.run(main())
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@ -0,0 +1,181 @@
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#!/usr/bin/env python
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"""
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Simplified test script to verify Perplexity API connectivity.
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Works around import issues.
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"""
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import asyncio
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import os
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import sys
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Add directories to path
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sys.path.insert(0, '.')
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sys.path.insert(0, './autonomous')
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async def test_perplexity_direct():
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"""Test Perplexity API directly without complex imports"""
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print("=" * 60)
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print("🔍 Testing Perplexity Finance API (Direct)")
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print("=" * 60)
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api_key = os.getenv('PERPLEXITY_API_KEY')
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if not api_key:
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print("❌ PERPLEXITY_API_KEY not found in .env")
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return False
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print(f"📌 Using API key: {api_key[:15]}...")
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# Test with a simple API call
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import aiohttp
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import json
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url = "https://api.perplexity.ai/chat/completions"
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headers = {
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"Authorization": f"Bearer {api_key}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": "sonar", # Try the basic sonar model
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"messages": [
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{
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"role": "system",
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"content": "You are a financial analyst. Be brief and specific."
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},
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{
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"role": "user",
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"content": "What is NVIDIA's current stock price and P/E ratio? Reply with just the numbers."
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}
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],
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"max_tokens": 200,
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"temperature": 0.1
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}
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try:
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print("\n1. Sending test request to Perplexity API...")
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async with aiohttp.ClientSession() as session:
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async with session.post(url, headers=headers, json=payload) as response:
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if response.status == 200:
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data = await response.json()
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content = data['choices'][0]['message']['content']
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print(f"✅ API Response received:")
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print(f" {content[:200]}")
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print("\n✅ Perplexity API is working!")
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return True
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else:
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error = await response.text()
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print(f"❌ API Error (status {response.status}):")
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print(f" {error[:200]}")
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return False
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except Exception as e:
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print(f"❌ Connection error: {e}")
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return False
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async def test_research_functionality():
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"""Test our research functionality"""
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print("\n" + "=" * 60)
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print("🤖 Testing Research Functionality")
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print("=" * 60)
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try:
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# Import just what we need
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from autonomous.connectors.perplexity_finance import (
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PerplexityFinanceConnector,
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AnalysisType,
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ResearchDepth
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)
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print("\n1. Initializing Perplexity connector...")
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connector = PerplexityFinanceConnector(
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api_key=os.getenv('PERPLEXITY_API_KEY')
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)
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print("✅ Connector initialized")
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# Test stock analysis
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print("\n2. Analyzing NVDA stock...")
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analysis = await connector.analyze_stock(
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"NVDA",
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AnalysisType.FUNDAMENTAL,
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ResearchDepth.QUICK
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)
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print(f"""
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✅ Analysis Complete:
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Ticker: {analysis.ticker}
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Rating: {analysis.rating}
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Confidence: {analysis.confidence_score}%
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Analysis Preview:
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{analysis.detailed_analysis[:200]}...
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""")
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# Test market sentiment
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print("\n3. Getting market sentiment...")
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sentiment = await connector.get_market_sentiment()
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print(f"✅ Market Sentiment: {sentiment['analysis'][:150]}...")
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print("\n✅ All research functions working!")
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return True
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except ImportError as e:
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print(f"⚠️ Import error: {e}")
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print(" Some dependencies may be missing")
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return False
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except Exception as e:
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print(f"❌ Error: {e}")
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import traceback
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traceback.print_exc()
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return False
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async def main():
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"""Run tests"""
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print("""
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╔════════════════════════════════════════════════════════════╗
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║ Perplexity Finance API Test (Simplified) ║
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╚════════════════════════════════════════════════════════════╝
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""")
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# Test 1: Direct API test
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api_ok = await test_perplexity_direct()
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# Test 2: Research functionality (may have import issues)
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if api_ok:
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research_ok = await test_research_functionality()
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else:
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research_ok = False
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# Summary
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print("\n" + "=" * 60)
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print("📊 TEST SUMMARY")
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print("=" * 60)
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print(f"Perplexity API Connection: {'✅ WORKING' if api_ok else '❌ FAILED'}")
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print(f"Research Functions: {'✅ WORKING' if research_ok else '⚠️ PARTIAL' if api_ok else '❌ FAILED'}")
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if api_ok:
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print("""
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🎉 Your Perplexity API is connected and working!
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The API can:
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- Answer investment questions
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- Analyze stocks in real-time
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- Provide market sentiment
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- Screen for opportunities
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Note: Some import issues may exist with the full system,
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but the core Perplexity functionality is operational.
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""")
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if __name__ == "__main__":
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asyncio.run(main())
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