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#!/usr/bin/env python3
"""
Test script to check what the frontend FRED client returns
"""
import os
import sys
import pandas as pd
import numpy as np
from datetime import datetime
# Add frontend to path
sys.path.append(os.path.join(os.path.dirname(__file__), 'frontend'))
from frontend.fred_api_client import get_real_economic_data
def test_frontend_data():
"""Test what the frontend client returns"""
api_key = "acf8bbec7efe3b6dfa6ae083e7152314"
print("=== TESTING FRONTEND FRED CLIENT ===")
try:
# Get data using frontend client
end_date = datetime.now()
start_date = end_date.replace(year=end_date.year - 1)
print("1. Fetching data with frontend client...")
real_data = get_real_economic_data(
api_key,
start_date.strftime('%Y-%m-%d'),
end_date.strftime('%Y-%m-%d')
)
print(f"✅ Real data keys: {list(real_data.keys())}")
# Check economic_data
if 'economic_data' in real_data:
df = real_data['economic_data']
print(f" Economic data shape: {df.shape}")
print(f" Economic data columns: {list(df.columns)}")
print(f" Economic data index: {df.index.min()} to {df.index.max()}")
if not df.empty:
print(" Sample data:")
print(df.head())
print()
# Test calculations
print("2. Testing calculations on frontend data:")
for column in df.columns:
series = df[column].dropna()
print(f" {column}:")
print(f" Length: {len(series)}")
print(f" Latest value: {series.iloc[-1] if len(series) > 0 else 'N/A'}")
if len(series) >= 2:
growth_rate = series.pct_change().iloc[-1] * 100
print(f" Growth rate: {growth_rate:.2f}%")
print(f" Is NaN: {pd.isna(growth_rate)}")
else:
print(f" Growth rate: Insufficient data")
print()
else:
print(" ❌ Economic data is empty!")
else:
print(" ❌ No economic_data in real_data")
# Check insights
if 'insights' in real_data:
insights = real_data['insights']
print(f" Insights keys: {list(insights.keys())}")
# Show some sample insights
for series_id, insight in list(insights.items())[:3]:
print(f" {series_id}:")
print(f" Current value: {insight.get('current_value', 'N/A')}")
print(f" Growth rate: {insight.get('growth_rate', 'N/A')}")
print(f" Trend: {insight.get('trend', 'N/A')}")
print()
else:
print(" ❌ No insights in real_data")
print("=== FRONTEND CLIENT TEST COMPLETE ===")
except Exception as e:
print(f"❌ Error testing frontend client: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
test_frontend_data() |