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Testing the TradingAgents API

1. Start the API Server

First, make sure you're in the backend directory and have your environment activated:

cd backend
source venv/bin/activate  # On Windows: venv\Scripts\activate
python run_api.py

You should see:

🚀 Starting TradingAgents API server...
📍 Server will be available at http://localhost:8000
📚 API docs will be at http://localhost:8000/docs

2. Test Using FastAPI Interactive Docs

The easiest way to test is using FastAPI's built-in documentation:

Open your browser and go to: http://localhost:8000/docs
You'll see an interactive API documentation (Swagger UI)
Click on any endpoint to expand it
Click "Try it out" to test the endpoint

3. Test Individual Endpoints

A. Test Root Endpoint

curl http://localhost:8000/

Expected response:

{"message": "TradingAgents API is running"}

B. Test Health Check

curl http://localhost:8000/health

Expected response:

{"status": "healthy"}

C. Test Analysis Endpoint (Main Functionality)

curl -X POST http://localhost:8000/analyze \
  -H "Content-Type: application/json" \
  -d '{"ticker": "AAPL"}'

Expected response structure:

{
  "ticker": "AAPL",
  "analysis_date": "2024-06-29",
  "market_report": "...",
  "sentiment_report": "...",
  "news_report": "...",
  "fundamentals_report": "...",
  "investment_plan": "...",
  "trader_investment_plan": "...",
  "final_trade_decision": "...",
  "processed_signal": "BUY/SELL/HOLD",
  "error": null
}

4. Test Using Python

Create a test script test_api.py:

import requests
import json

# Test root endpoint
response = requests.get("http://localhost:8000/")
print("Root endpoint:", response.json())

# Test health check
response = requests.get("http://localhost:8000/health")
print("Health check:", response.json())

# Test analysis
data = {"ticker": "AAPL"}
response = requests.post(
    "http://localhost:8000/analyze",
    json=data
)
print("Analysis response status:", response.status_code)
if response.status_code == 200:
    result = response.json()
    print(f"Ticker: {result['ticker']}")
    print(f"Date: {result['analysis_date']}")
    print(f"Signal: {result.get('processed_signal', 'N/A')}")
    print(f"Error: {result.get('error', 'None')}")

5. Common Issues and Solutions

Issue: Connection Refused

Solution: Make sure the server is running (python run_api.py)

Issue: Missing API Keys

Solution: Ensure your .env file has:

OPENAI_API_KEY=your_key_here
FINNHUB_API_KEY=your_key_here

Issue: Timeout or Slow Response

Solution: The analysis can take 30-60 seconds as it involves multiple AI agents

6. Test from iOS App

Make sure the API server is running
Open the iOS app in Xcode
Run the app (⌘+R)
Enter a ticker and tap "Analyze"
Check Xcode console for any network errors

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