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#!/usr/bin/env python3
"""
🧪 Teste Simples - Apenas Models API
Testa apenas a API de modelos sem dependências do backend
"""
import asyncio
import httpx
import json
from datetime import datetime
# Models API URL (confirmed working)
MODELS_URL = "https://neural-thinker-cidadao-ai-models.hf.space"
async def test_models_api():
"""🤖 Teste completo da Models API"""
print("🤖 TESTE DA CIDADÃO.AI MODELS API")
print("=" * 50)
print(f"🔗 URL: {MODELS_URL}")
print(f"🕐 Iniciado em: {datetime.now().strftime('%H:%M:%S')}")
print()
async with httpx.AsyncClient(timeout=30.0) as client:
# 1. Root endpoint
print("1️⃣ TESTANDO ROOT ENDPOINT")
try:
response = await client.get(f"{MODELS_URL}/")
if response.status_code == 200:
data = response.json()
print(" ✅ Root endpoint OK")
print(f" 📊 API: {data.get('api', 'N/A')}")
print(f" 🔢 Version: {data.get('version', 'N/A')}")
print(f" 📋 Status: {data.get('status', 'N/A')}")
else:
print(f" ❌ Root: {response.status_code}")
except Exception as e:
print(f" ❌ Root error: {str(e)}")
# 2. Health check
print("\n2️⃣ TESTANDO HEALTH CHECK")
try:
response = await client.get(f"{MODELS_URL}/health")
if response.status_code == 200:
data = response.json()
print(" ✅ Health check OK")
print(f" 📊 Status: {data.get('status', 'N/A')}")
print(f" 🤖 Models loaded: {data.get('models_loaded', 'N/A')}")
print(f" 💬 Message: {data.get('message', 'N/A')}")
else:
print(f" ❌ Health: {response.status_code}")
except Exception as e:
print(f" ❌ Health error: {str(e)}")
# 3. Test docs endpoint
print("\n3️⃣ TESTANDO DOCUMENTAÇÃO")
try:
response = await client.get(f"{MODELS_URL}/docs")
if response.status_code == 200:
print(" ✅ Docs available")
print(f" 📝 Content-Type: {response.headers.get('content-type', 'N/A')}")
else:
print(f" ❌ Docs: {response.status_code}")
except Exception as e:
print(f" ❌ Docs error: {str(e)}")
# 4. Test spaces-info
print("\n4️⃣ TESTANDO SPACES INFO")
try:
response = await client.get(f"{MODELS_URL}/spaces-info")
if response.status_code == 200:
data = response.json()
print(" ✅ Spaces info OK")
print(f" 🏠 Space ID: {data.get('space_id', 'N/A')}")
print(f" 👤 Author: {data.get('space_author', 'N/A')}")
print(f" 📦 Platform: {data.get('platform', 'N/A')}")
print(f" 🤖 Models available: {data.get('models_available', 'N/A')}")
else:
print(f" ❌ Spaces info: {response.status_code}")
except Exception as e:
print(f" ❌ Spaces info error: {str(e)}")
# 5. Test model endpoints (if available)
print("\n5️⃣ TESTANDO ENDPOINTS DE MODELO")
model_endpoints = [
"/v1/detect-anomalies",
"/v1/analyze-patterns",
"/v1/analyze-spectral"
]
for endpoint in model_endpoints:
try:
# Test with minimal payload
test_payload = {
"contracts": [{"value": 1000, "vendor": "test"}],
"threshold": 0.7
} if "anomalies" in endpoint else {
"data": [1, 2, 3, 4, 5],
"params": {"test": True}
}
response = await client.post(f"{MODELS_URL}{endpoint}", json=test_payload)
if response.status_code == 200:
print(f" ✅ {endpoint} - Functional")
elif response.status_code == 422:
print(f" 📋 {endpoint} - Schema validation (endpoint exists)")
elif response.status_code == 404:
print(f" ❌ {endpoint} - Not found")
else:
print(f" ⚠️ {endpoint} - Status: {response.status_code}")
except Exception as e:
print(f" ❌ {endpoint} - Error: {str(e)[:50]}...")
print("\n" + "=" * 50)
print("🎯 RESUMO")
print("✅ Models API está ONLINE e acessível")
print("🔗 URL funcional:", MODELS_URL)
print("📚 Documentação:", f"{MODELS_URL}/docs")
print("🏥 Health check:", f"{MODELS_URL}/health")
if __name__ == "__main__":
asyncio.run(test_models_api()) |